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: [["Year", "Team", "GP", "Att", "Yds", "Avg", "Long", "Rush TD", "Rec", "Yds", "Avg", "Long", "Rec TD"], ["1989", "Cincinnati Bengals", "16", "221", "1,239", "5.6", "65", "7", "37", "306", "8.3", "25", "2"], ["1991", "Cincinnati Bengals", "15", "152", "571", "3.8", "25", "2", "40", "348", "8.7", "40", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cincinnati Bengals | 128 | Answer: |
Table InputTable: [["Year", "Total\\npassengers", "Passenger\\nChange", "Domestic", "International\\n(total)", "International\\n(non-CIS)", "CIS", "Aircraft\\nLandings", "Cargo\\n(tonnes)"], ["2001", "1 028 295", "+10,5%", "733 022", "295 273", "186 861", "108 412", "9 062", "22 178"], ["2009", "2 169 136", "−14,2%", "... | 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:... | 2009 | 128 | Answer: |
Table InputTable: [["Builder", "Works numbers", "Dates", "CN numbers", "GT numbers", "Notes"], ["ALCO", "42046-42060\\n43540-43554", "1907", "2567-2576\\n2606-2615\\n2664-2665\\n2669-2676", "706-720\\n752\\n755\\n758\\n761\\n763", ""], ["ALCO", "50472-50481", "1911", "2626\\n2666-2668\\n2679-2684", "779-780\\n784\\n786... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | MLW | 128 | Answer: |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2006/07", "KSV Roeselare", "Jupiler League", "29", "1"], ["2008/09", "Excelsior Mouscron", "Jupiler League", "31", "1"], ["2004/05", "KSV Roeselare", "Belgian Second Division", "29", "1"], ["2007/08", "KSV Roeselare", "Jupiler League", "25", "0"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | KSV Roeselare | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Greece", "3", "4", "9", "16"], ["3", "Slovenia", "5", "4", "3", "12"], ["8", "Croatia", "0", "3", "3", "6"], ["7", "Algeria", "2", "0", "2", "4"], ["6", "Tunisia", "3", "0", "0", "3"], ["2", "Italy", "12", "8", "10", "30"], ["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:... | 3 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Genre", "Publisher", "Notes"], ["1943", "Omnibus", "Western", "Harper & Brothers", ""], ["1958", "Arizona Clan", "Western", "Harper & Brothers", ""], ["1932", "Arizona Ames", "Western", "Harper & Brothers", ""], ["1912", "Riders of the Purple Sage", "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:... | 74 | 128 | Answer: |
Table InputTable: [["Tournament", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "W–L"], ["Madrid Masters", "A", "A", "A", "LQ", "LQ", "1R", "3R", "3R", "2R", "1R", "", "5–5"], ["Miami Masters", "A", "A", "A", "2R", "1R", "1R", "2R", "2R", "2R", "A", "", "3–6"], ["Paris Masters"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9-11 | 128 | Answer: |
Table InputTable: [["Category", "Examples", "Cancers", "Gene functions"], ["Transcription factors", "myc gene", "malignant T-cell lymphomas and acute myleoid leukemias, breast cancer, pancreatic cancer, retinoblastoma, and small cell lung cancer", "-They regulate transcription of genes that induce cell proliferation."]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | myc gene | 128 | Answer: |
Table InputTable: [["Rank\\n", "Date\\n", "Level at Trent Bridge\\nm", "Level at Trent Bridge\\nft", "Peak Flow\\nm3/s", "Peak Flow\\ncfs"], ["4", "November 1852", "24.26", "79.6", "1,082", "38,200"], ["1", "February 1795", "24.55", "80.5", "1,416", "50,000"], ["3", "March 1947", "24.30", "79.7", "1,107", "39,100"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | February 1795 | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Lanny Poffo", "1", "May 10, 1978", "San Francisco, California", "Defeated Joe Banek to become the first champion"], ["Paul Christy", "1", "November 13, 1983", "Springfield, Illinois", ""], ["Randy Savage", "1", "March 13, 1979", "Halifax, Nova ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lanny Poffo | 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"], ["1", "September 6, 1998", "FOX 1:05 pm MT", "at Dallas Cowboys", "L 38–10", "63,602"], ["3", "September 20, 1998", "ESPN 5:15 pm MT", "Philadelph... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["Ret", "16", "Graham Hill", "BRM", "13", "Engine", "8", ""], ["Ret", "4", "Peter Arundell", "Lotus-BRM", "3", "Gearbox", "16", ""], ["Ret", "32", "Mike Spence", "Lotus-BRM", "8", "Clutch", "10", ""], ["DNS", "2", "Jim ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cooper-Maserati | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "5.", "4 September 2012", "Mestre, Italy", "Clay", "Estrella Cabeza Candela", "6–1, 3–6, 6–1"], ["Winner", "1.", "25 July 2006", "Monteroni D'Arbia, Italy", "Clay", "Edina Gallovits-Hall", "6–2, 6–1"], ["Winner", "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:... | 5 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["5", "Morocco", "1", "1", "0", "2"], ["1", "France", "11", "5", "3", "19"], ["8", "Tunisia", "0", "1", "0", "1"], ["4", "Spain", "1", "5", "5", "11"], ["2", "Greece", "6", "7", "6", "19"], ["7", "Egypt"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "Route number(s)", "Length (mi)", "Location", "Notes"], ["Grand Army of the Republic Highway", "*", "117.46", "Seekonk to Provincetown", "The cross-country U.S. Route 6 is designated Grand Army of the Republic Highway over its entire length, which spans 3,205 miles (5,158 km)."], ["Pilgrims ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Massachusetts Turnpike | 128 | Answer: |
Table InputTable: [["Year", "Matches", "Winner", "Results", "Pakistan\\nCaptain", "Pakistan\\nCoach", "India\\nCaptain", "India\\nCoach"], ["1981", "4", "Pakistan win", "2 - 1", "Akhtar Rasool", "Zakauddin", "Surjeet Singh", "Harmeek Singh"], ["1999", "9", "Pakistan win", "5 - 3", "Atif Bashir", "Shahnaz Shaikh", "Anil... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS R&B", "Peak chart positions\\nUS Rap", "Album"], ["\"Pain In My Life\"\\n(featuring Trey Songz)", "2006", "—", "—", "—", "N/A"], ["\"C'mon Baby\"\\n(featuring Swizz Beatz)", "2007", "—", "—", "—", "N/A"], ["\"Gotta Believe It\"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["12", "Nov 13", "vs. Montreal Alouettes", "14–12", "Win", "2–12"], ["7", "Oct 9", "vs. Montreal Alouettes", "25–11", "Loss", "1–7"], ["2", "Sept 6", "vs. Montreal Alouettes", "20–11", "Loss", "0–3"], ["7", "Oct 11", "at 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:... | Toronto Argonauts | 128 | Answer: |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2008", "Jiangsu Sainty", "China", "2", "24", "0"], ["2009", "Jiangsu Sainty", "China", "1", "15", "0"], ["2011", "Jiangsu Sainty", "China", "1", "9", "0"], ["2010", "Jiangsu Sainty", "China", "1", "17", "0"], ["2007", "Shandong Luneng", "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:... | Jiangsu Sainty | 128 | Answer: |
Table InputTable: [["Series #", "Season #", "Title", "Notes", "Original air date"], ["3", "1", "\"The Weekend Aunt Helen Came\"", "The boy's mother, Jennifer, leaves for the weekend and she leaves the father, Roger, in charge. However, he lets the kids run wild. Alfie and Dee Dee's Aunt Helen then comes to oversee 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:... | 10 | 128 | Answer: |
Table InputTable: [["№", "#", "Title", "Directed by", "Written by", "Original air date", "Production\\ncode"], ["7", "7", "\"Perfect Mom\"", "Bethany Rooney", "Darren Star", "November 22, 1990", "2190006"], ["1", "1", "\"Class of Beverly Hills\"", "Tim Hunter", "Darren Star", "October 4, 1990", "–"], ["12", "12", "\"On... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 22 | 128 | Answer: |
Table InputTable: [["Year", "Record", "Finish", "Manager", "Playoffs"], ["1978", "56-82", "8th", "Dick Phillips", ""], ["1985", "84-59", "1st", "Tommy Sandt", "Lost in 1st round"], ["1981", "72-65", "3rd (t)", "Doug Rader", "Lost in 1st round"], ["1977", "79-67", "2nd", "Dick Phillips", "Lost League Finals"], ["1986", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 65-75 | 128 | Answer: |
Table InputTable: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Marshall Blueberry", "1994", "1", "Jean Giraud", "Alpen", "Drawn by William Vance, Follet did the page lay-out"], ["Steve Severin", "1981–2003", "9", "Jacques Stoquart and Yvan Delporte", "Glénat", "3 in French - 6 additional in Dutch"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | 128 | Answer: |
Table InputTable: [["#", "Title", "Featured guest(s)", "Producer(s)", "Time", "Sample (s)"], ["5", "\"Can't Hold Back\"", "Ice Cube", "Skooby Doo", "3:34", "*\"Ain't No Half-Steppin'\" by Big Daddy Kane"], ["10", "\"Like That\"", "Ice Cube, Daz Dillinger & CJ Mac", "Daz Dillinger", "4:29", "*\"Just Rhymin' With Biz\" 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:... | 3 | 128 | Answer: |
Table InputTable: [["Film", "Film", "Date"], ["Kodachrome 25 film", "Movie film, 8 mm, daylight", "1974–1992"], ["Kodachrome 25 film", "35 mm, daylight", "1974–2001"], ["Kodachrome II film", "35 mm and 828, daylight (ASA 25/early) (ASA 64/late)", "1961–1974"], ["Kodachrome 64", "Professional film, 35 mm, daylight", "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:... | 1936 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "13th (q)", "5.20 m"], ["2005", "European U23 Championships", "Erfurt, Germany", "7th", "5.50 m"], ["1999", "World Youth Championships", "Bydgoszcz, Poland", "13th (q)", "4.60 m"], ["200... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Designer(s)", "Brief description", "Selected by:", "Associated publication"], ["2003", "Marni", "Colorful printed dress", "Lucinda Chambers", "Vogue"], ["1965", "John Bates for Jean Varon\\nAnello & Davide (shoes)", "Printed linen dress with mesh midriff", "Members of The Fashion Writers' 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:... | 6 | 128 | Answer: |
Table InputTable: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["Redroid", "Redroid", "Temple Music Group", "2011", "—"], ["2012 – Remix Contest EP", "2012 (Remastered)", "Burn The Fire", "2012", "The Agenda"], ["Doin' It Right", "Doin' It Right", "Burn The Fire", "2009", "—"], ["Los Angeles", "Los Angeles\\nL... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Event", "Record", "Athlete", "Date", "Meet", "Place"], ["10 km (road)", "27:41 #", "Arturo Barrios", "1 March 1986", "Continental Homes 10K", "Phoenix, United States"], ["5000 m", "13:07.79", "Arturo Barrios", "14 July 1989", "", "London, United Kingdom"], ["3000 m", "7:35.71", "Arturo Barrios", "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:... | 8 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["9.", "Argentina", "0", "2", "0", "2"], ["2.", "United States", "9", "3", "6", "18"], ["8.", "Russia", "0", "2", "3", "5"], ["7.", "Germany", "0", "5", "1", "6"], ["3.", "China", "1", "9", "8", "18"], ["1.", "Brazil", "21", "9", "12", "42"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["?", "Leslie", "P Jones", "9", "10-13", "33/1", "Pulled Up"], ["06", "Barleycroft", "Phil Harvey", "10", "10-13", "100/1", "Brought Down"], ["06", "Sizzle-On", "P Hurley", "9", "10/13", "100/1", "Brought Down"], ["22",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pulled Up | 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"], ["6", "\"It's Show Time\"", "June 11, 2008", "9:00 P.M.", "1.3", "2", "0.8/2 (#5)", "2.04 (#5)", "7... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | .1 | 128 | Answer: |
Table InputTable: [["Ship", "Hull No.", "Status", "Years Active", "NVR\\nPage"], ["Henry Eckford", "T-AO-192", "Cancelled when 84% complete,\\ntransferred to the Maritime Administration,\\nlaid up in the James River Reserve Fleet,\\nscrapped in 2011", "Launched 1989, never in service", "AO192"], ["Benjamin Isherwood", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["4", "Parc des Princes", "48,712", "Paris", "Île-de-France", "Paris Saint-Germain FC", "1897"], ["7", "Stade de la Beaujoire", "38,285", "Nantes", "Pays de la Loire", "FC Nantes Atlantique", "1984"], ["27", "Stade Sébastien Charl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Paris Saint-Germain FC | 128 | Answer: |
Table InputTable: [["Team", "Stadium", "Capacity", "City/Area"], ["Catalans Dragons (2014 season)", "Stade Gilbert Brutus", "14,000", "Perpignan, Pyrénées-Orientales, France"], ["Bradford Bulls (2014 season)", "Provident Stadium", "27,000", "Bradford, West Yorkshire"], ["Wakefield Trinity Wildcats (2014 season)", "Rapi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | 128 | Answer: |
Table InputTable: [["Award", "Category", "Nominee", "Result"], ["Academy Awards, 1972", "Best Sound", "Theodore Soderberg\\nChristopher Newman", "Nominated"], ["BAFTA, 1972", "Best Sound Track", "Christopher Newman\\nTheodore Soderberg", "Nominated"], ["BAFTA, 1972", "Best Film", "Philip D'Antoni", "Nominated"], ["Acad... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["19 September 1960", "Blackburn Rovers", "A", "1-3", "21,508", "Brabrook"], ["1 October 1960", "Everton", "H", "3-3", "31,457", "Greaves"], ["31 August 1960", "Leicester City", "A", "3-1", "21,087", "Sillett, Greaves, Brooks"], ["7 Se... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Greaves | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Results\\nFinal score", "Results\\nTeam record", "Venue", "Attendance"], ["1", "September 18", "Washington Redskins", "L 24–21", "0–1", "Metropolitan Stadium", "47,900"], ["3", "October 1", "Miami Dolphins", "L 16–14", "1–2", "Metropolitan Stadium", "47,900"], ["8", "Nov... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Metropolitan Stadium | 128 | Answer: |
Table InputTable: [["Year", "Result", "Award", "Film"], ["2008", "Nominated", "Outstanding Lead Actor - Comedy Series", "Two and a Half Men"], ["2007", "Nominated", "Teen Choice Award Choice TV Actor: Comedy", "Two and a Half Men"], ["2010", "Nominated", "SAG Award Outstanding Performance by a Male Actor in a Comedy Se... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 21 | 128 | Answer: |
Table InputTable: [["Year", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1927", "27", "27", "107.765", "22", "3", "200", "0", "Running"], ["1926", "31", "12", "102.789", "13", "11", "142", "0", "Flagged"], ["1928", "8", "4", "117.031", "4", "10", "200", "33", "Running"], ["1939", "62", "27", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Running | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2011", "24", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete"], ["2005", "18", "37", "–"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 G | 128 | Answer: |
Table InputTable: [["№", "#", "Title", "Directed by", "Written by", "Original air date", "Production\\ncode"], ["14", "14", "\"East Side Story\"", "Dan Attias", "Charles Rosin", "February 14, 1991", "2190013"], ["16", "16", "\"Fame is Where You Find It\"", "Paul Schneider", "Charles Rosin & Karen Rosin", "February 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:... | "The Gentle Art of Listening", "Isn't it Romantic?" | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "26", "Philippe Alliot", "Ligier-Renault", "79", "+ 3 Laps", "8", ""], ["6", "11", "Johnny Dumfries", "Lotus-Renault", "80", "+ 2 Laps", "14", "1"], ["Ret", "12", "Ayrton Senna", "Lotus-Renault", "43", "Engine", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Type", "Construction period", "Cylinder", "Capacity", "Power", "Vmax"], ["V 5 Sport", "1931–1932", "V4", "1.168 cc", "30 PS (22 kW)", "100 km/h (62 mph)"], ["V 5", "1931–1932", "V4", "1.168 cc", "25 PS (18,4 kW)", "80 km/h (50 mph)"], ["D12 (12/45 PS)", "1923–1924", "straight-6", "3.107 cc", "45 PS... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1919-1921 | 128 | Answer: |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["-", "World", "$34.7 billion", "2012", "–"], ["8", "Germany", "$1.3 billion", "2012", "–"], ["2", "China", "$3.6 billion", "2013", "59% (2013)"], ["10", "Australia", "$1.2 billion", "2012", "4.1% (2011)"], ["3", "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:... | $34.7 billion | 128 | Answer: |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["St. Mary's Church", "Germany", "Stralsund", "151 / 500", "Church", "1549–1647", "Spire destroyed by lightning in 1647; today stands at a height of 104 metres (341 ft)."], ["Eiffel Tower", "France", "Pari... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["13", "18", "Justin Wilson", "Dale Coyne Racing", "85", "+ 53.5768", "2", "28", "17"], ["1", "9", "Scott Dixon", "Chip Ganassi Racing", "85", "1:46:05.7985", "3", "51", "52"], ["12", "3", "Hélio Castroneves", "Pe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Player", "County", "Tally", "Total", "Opposition"], ["6", "David Martin", "Meath", "1–6", "9", "Offaly"], ["6", "Seán McLoughlin", "Westmeath", "1–6", "9", "Carlow"], ["6", "Gary Kirby", "Limerick", "0–9", "9", "Antrim"], ["3", "Gary Kirby", "Limerick", "0–10", "10", "Tipperary"], ["9", "Pa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Seán McLoughlin | 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"], ["1927-28", "Mr J.Stanbury", "1959-60", "Mr A.P.Scribante", "1992-93", "Mr Gerrie Wolmarans"], ["1920-21", "Mr B.Melman", "1952-53", "Mr Vic Pretorius", "1985-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mrs E.Myer | 128 | Answer: |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["8", "8", "Special FX-Ation", "January 24, 1999", "108"], ["2", "2", "Who's The Man", "November 1, 1998", "102"], ["13", "13", "Hot Dog", "March 14, 1999", "113"], ["7", "7", "Front Page", "January 17, 1999", "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:... | 13 | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["155", "Rob Sangster", "Left Wing", "Canada", "Vancouver Canucks", "Kitchener Rangers (OHL)"], ["150", "Derek Langille", "Defense", "Canada", "Toronto Maple Leafs", "North Bay Centennials (OHL)"], ["164", "Rick ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Competition", "Venue", "Position", "Notes"], ["2014", "World Indoor Championships", "Sopot, Poland", "3rd", "5.80 m"], ["2013", "European Indoor Championships", "Gothenburg, Sweden", "5th", "5.71 m"], ["2010", "European Championships", "Barcelona, Spain", "10th", "5.60 m"], ["2011", "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:... | Beijing, China | 128 | Answer: |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Viduka", "1", "-", "2", "3"], ["Milicic", "2", "-", "-", "2"], ["Zdrilic", "1", "-", "-", "1"], ["Skoko", "-", "1", "-", "1"], ["Bresciano", "2", "-", "1", "3"], ["Colosimo", "1", "-", "-", "1"], ["Culina", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Political lieutenant", "District\\n(Area)", "Took Office", "Left Office", "Party leader"], ["Georges-Henri Héon", "Argenteuil\\n(Laurentides)", "1949", "1949", "George A. Drew"], ["Benoît Bouchard", "Roberval\\n(Saguenay-Lac-Saint-Jean)", "1990", "1993", "Brian Mulroney"], ["Lucien Bouchard", "Lac-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["2", "Stade Vélodrome", "60,013", "Marseille", "Provence-Alpes-Côte d'Azur", "Olympique de Marseille", "1937"], ["27", "Stade Sébastien Charléty", "20,000", "Paris", "Île-de-France", "Paris FC", "1938"], ["4", "Parc des Princes",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Stade de France, Stade Vélodrome | 128 | Answer: |
Table InputTable: [["Name", "Nation", "Position", "League Apps", "League Goals", "FA Cup Apps", "FA Cup Goals", "Total Apps", "Total Goals"], ["Eddie Boot", "England", "DF", "38", "0", "1", "0", "39", "0"], ["John Battye", "England", "DF", "22", "0", "0", "0", "22", "0"], ["Ray Taylor", "England", "MF", "2", "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:... | George Hepplewhite | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Australia (AUS)", "2", "1", "0", "3"], ["7", "Great Britain (GBR)", "0", "0", "1", "1"], ["6", "United States (USA)", "0", "1", "0", "1"], ["4", "Soviet Union (URS)", "1", "0", "0", "1"], ["3", "Germany (EUA)", "1", "0", "1", "2"], ["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:... | 2 | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air date", "Rating", "Share", "18-49 (Rating/Share)", "Viewers (m)", "Rank (night)", "Rank (timeslot)", "Rank (overall)"], ["7", "\"The Past Comes Back to Haunt You\"", "November 16, 2007", "6.2", "11", "1.7/5", "8.94", "#4", "#1", "#41"], ["6", "\"Play Through the Pain\"", "Novembe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["7", "IA0510", "Mario Batali", "Charles Clark", "New American", "Halibut", "Mario Batali", "51-50"], ["2", "IA0508", "Mario Batali", "Tony Liu", "Pan-European", "Opah",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["", "Club", "Played", "Won", "Drawn", "Lost", "Points For", "Points Against", "Points Difference", "Tries For", "Tries Against", "Try Bonus", "Losing Bonus", "Points"], ["2", "Northampton Saints (CH)", "22", "16", "2", "4", "604", "350", "254", "72", "31", "7", "3", "78"], ["1", "Saracens (RU)", "22... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Saracens(RU) | 128 | Answer: |
Table InputTable: [["Season", "Winning Team", "Score", "Losing Team", "Score", "Location", "Stadium"], ["1994–95", "San Diego Chargers (1)", "17", "Pittsburgh Steelers", "13", "Pittsburgh, Pennsylvania", "Three Rivers Stadium"], ["1979–80", "Pittsburgh Steelers (4)", "27", "Houston Oilers", "13", "Pittsburgh, Pennsylva... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Single", "Peak chart\\npositions\\nUS Country", "Peak chart\\npositions\\nCAN Country", "Album"], ["1984", "\"I'm a Country Song\"", "72", "—", "singles only"], ["1977", "\"I'm Gonna Love You Right Out of This World\"", "21", "38", "singles only"], ["1983", "\"You've Still Got Me\"", "71", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Need You" | 128 | Answer: |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["1", "Justin Wilson", "RuSPORT", "69", "1:46:02.236", "2", "32"], ["11", "Dan Clarke", "Minardi Team USA", "69", "+38.903", "10", "11"], ["6", "Simon Pagenaud", "Team Australia", "69", "+22.698", "5", "19"], ["14", "Will Power", "Tea... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | +38.903 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time"], ["", "Jenny Kurth", "United States", "4:57.24"], ["6", "Isabel Rojas", "Colombia", "5:11.58"], ["", "Joanne Malar", "Canada", "4:43.64"], ["", "Alison Fealey", "United States", "4:48.31"], ["5", "Fabíola Molina", "Brazil", "5:03.43"], ["4", "Sonia Fonseca", "P... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Isabel Rojas | 128 | Answer: |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "Pedro Brand"], ["Azua", "Alicia Fernández de la Cruz", "23", "1.69", "Santo Domingo"], ["Monte Cristi", "Grace Stephany Mota Grisanty", "18", "1.75", "San Fernando de Monte Cris... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alicia Fernández de la Cruz | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["1", "15", "Reggie Johnson", "PF/C", "United States", "Tennessee"], ["10", "209", "Steve Schall", "", "United States", "Arkansas"], ["6", "129", "Dean Uthoff", "", "United States", "Iowa State"], ["3", "60", "Lavon Mercer", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Steve Schall | 128 | Answer: |
Table InputTable: [["Season", "Episodes", "Season Premiere", "Season Finale"], ["3", "44", "October 15, 2007", "June 2, 2008"], ["2", "52", "October 7, 2006", "July 16, 2007"], ["4", "48", "October 13, 2008", "May 11, 2009"], ["5", "40", "October 12, 2009", "June 14, 2010"], ["7", "8", "October 29, 2013", "December 17,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 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"], ["80", "Mercury", "Hg", "12", "6", "d", "Liquid", "Primordial", "Transition metal"], ["87", "Francium... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bromine | 128 | Answer: |
Table InputTable: [["Tour", "Official title", "Venue", "City", "Date\\nStart", "Date\\nFinish", "Prize money\\nUSD", "Report"], ["8", "Japan Super Series", "Tokyo Metropolitan Gymnasium", "Tokyo", "September 11", "September 16", "200,000", "Report"], ["13", "Super Series Finals", "Cancelled", "Cancelled", "Cancelled", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Name", "Took office", "Left office", "Party", "Governor", "Notes"], ["5", "Milton Stapp", "December 3, 1828", "December 7, 1831", "Independent", "James B. Ray", ""], ["8", "Samuel Hall", "December 9, 1840", "December 6, 1843", "Whig", "Samuel Bigger", ""], ["27", "Frank J. Hall", "January 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:... | Milton Stapp | 128 | Answer: |
Table InputTable: [["Season", "Tier", "Division", "Place"], ["1989/90", "4", "3ª", "1st"], ["1988/89", "4", "3ª", "3rd"], ["1991/92", "3", "2ªB", "12th"], ["1996/97", "4", "3ª", "2nd"], ["1997/98", "4", "3ª", "1st"], ["1994/95", "3", "2ªB", "9th"], ["1990/91", "3", "2ªB", "6th"], ["1998/99", "4", "3ª", "6th"], ["1992/9... | 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:... | 1996/97 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["3", "October 2", "Win", "3–0", "Tampa Bay Buccaneers", "23", "7", "23", "55,316"], ["6", "October 23", "Win", "6–0", "at Philadelphia Eagles", "16", "10", "17", "65,507"], ["2", "September... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Above | 128 | Answer: |
Table InputTable: [["Team 1", "Agg.", "Team 2", "1st leg", "2nd leg"], ["Tauro F.C.", "5 - 0", "América Managua", "5 - 0", "0 - 0"], ["Duurly's", "0 - 8", "C.D. Luis Ángel Firpo", "0 - 4", "0 - 4"], ["Real C.D. España", "6 - 0", "Acros Real Verdes", "5 - 0", "1 - 0"], ["C.D. Motagua", "0 - 1 (Replay)", "CSD Comunicacio... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | América Managua | 128 | Answer: |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7QN", "Queenstown", "0630", "AM", "Moved to FM in 1991, retained call", "7RN", "National"], ["7HT", "Hobart", "1080", "AM", "Moved to FM in 1998 as 7XXX", "7TAB (HPON)", "Commercial"], ["7QT", "Queenstown", "0837... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Queenstown | 128 | Answer: |
Table InputTable: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["2008", "David Be'eri, Mordechai Eliav, Rabbi Yehuda Maly", "Israel", "", ""], ["2009", "Caroline Glick", "Israel", "Journalist", ""], ["2000", "Sir Martin Gilbert", "United Kingdom", "Historian and writer", ""], ["2010", "Malcolm Hoenlei... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | United States | 128 | Answer: |
Table InputTable: [["Season", "Tier", "League", "Pos.", "Postseason", "German Cup", "European competitions"], ["2001–02", "1", "Bundesliga", "7", "Quarterfinalist", "–", "–"], ["1998–99", "1", "Bundesliga", "6", "Quarterfinalist", "Third place", "3 Played Korać Cup"], ["2006–07", "1", "Bundesliga", "1", "Champion", "–"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-A-1", "2006..", "[[]]", "[[]]", "-"], ["GL-A-2", "2006..", "[[]]", "[[]]", "-"], ["GL-A-3", "2006..", "[[]]", "[[]]", "-"], ["GL-A-5", "2006..", "[[]]", "[[]]", "-"], ["GL-A-4", "2006..", "[[]]", "[[]]", "-"], ["GL-A-6", "2006..", "[[]]", "[[]]",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | GL-A-1 | 128 | Answer: |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["2", "3", "Diablo", "The Fantastic Four find a ruined castle in the middle of a forest in Transylvania. Ben is summoned by Diablo and unable to resist, opens Diablo's prison, unleashing him and later brainwashing Ben. Diablo tricks the world into ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Galactus | 128 | Answer: |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Deaths other countries", "", "", "", "", "", "", "2,000"], ["Deaths Outside of Prisons & Camps", "", "42,000", "71,000", "142,000", "218,000", "", "473,000"], ["Deaths In Prisons & Camps", "69,000", "... | 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:... | 1941/42 | 128 | Answer: |
Table InputTable: [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Wake Forest Baptist Medical Center", "Winston-Salem", "885", "50", "935", "Level I", "WFU", "Primary teaching hospital of Wake Forest School of Medicine"], ["Duke Health Raleigh Hospital", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Duke | 128 | Answer: |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["5", "February 2, 2007", "Toronto Rock", "HSBC Arena", "L 10–14", "", "13,659", "2–3"], ["6", "February 3, 2007", "@ Toronto Rock", "Air Canada Centre", "L 8–13", "", "15,471", "2–4"], ["11", "March 17, 2007", "@ 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:... | away | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs"], ["2003", "2", "USL W-League", "5th, Western", ""], ["2008", "1", "USL W-League", "6th, Western", "Did not qualify"], ["2012", "1", "USL W-League", "4th, Western", "Did not qualify"], ["2005", "1", "USL W-League", "6th, Western", ""], ["2004",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2003 | 128 | Answer: |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["1", "2", "Paula Radcliffe (GBR)", "15:27.25 Q", ""], ["1", "16", "Yelena Kopytova (RUS)", "15:37.19", "PB"], ["1", "1", "Gabriela Szabo (ROU)", "15:26.62 Q", ""], ["1", "33", "Justine Nahimana (BUR)", "17:21.77", ""], ["2", "18", "Stela Olteanu (ROU)", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Gabriela Szabo | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "3.", "15 July 2012", "Stuttgart Open, Germany", "Clay", "Juan Mónaco", "6–4, 5–7, 6–3"], ["Runner-up", "7.", "22 July 2012", "Swiss Open, Switzerland", "Clay", "Thomaz Bellucci", "7–6(8–6), 4–6, 2–6"], ["Runner-up",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Swiss Open, Switzerland | 128 | Answer: |
Table InputTable: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["October 19, 1985", "Fort Collins", "#10 Air Force", "35", "Colorado State", "19", "AFA 15–8–1"], ["November 26, 2011", "Fort Collins", "Air Force", "45", "Colorado State", "21", "AFA 30–19–1"], ["November 8, 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:... | 17 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["5", "Bobby Charlton", "Manchester United", "England", "19"], ["11", "Denis Law", "Manchester United", "Scotland", "8"], ["17", "Milan Galić", "Partizan Beograd", "Yugoslavia", "2"], ["25", "Sigfried Held", "Borussia Dortmund", "West Germany", "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:... | Portugal, Spain, Belgium, England, Hungary, Bulgaria, Soviet Union | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air date", "Rating", "Share", "18-49 (Rating/Share)", "Viewers (m)", "Rank (night)", "Rank (timeslot)", "Rank (overall)"], ["4", "\"Grannies, Guns, Love Mints\"", "November 2, 2007", "6.4", "11", "1.9/6", "9.47", "#1", "#1", "#35"], ["7", "\"The Past Comes Back to Haunt You\"", "Nov... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Match no.", "Match Type", "Team Europe", "Score", "Team USA", "Progressive Total"], ["30", "Baker", "Team Europe", "202 - 203", "Team USA", "15 - 15"], ["32", "Singles", "Osku Palermaa", "196 - 235", "Tommy Jones", "15 - 17"], ["26", "Singles", "Osku Palermaa", "217 - 244", "Tommy Jones", "14 - 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:... | Chris Barnes | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["10", "Antonio Manuel Reina", "Spain", "1:48.56", "", "3"], ["9", "Ivan Tukhtachev", "Russia", "1:48.27", "SB", "4"], ["12", "Milan Kocourek", "Czech Republic", "1:59.28", "", "1"], ["1", "Adam Kszczot", "Poland", "1:46.50", "", "12"], ["8"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["№", "#", "Title", "Directed by", "Written by", "Original air date", "Production\\ncode"], ["10", "10", "\"Isn't it Romantic?\"", "Nancy Malone", "Charles Rosin", "January 3, 1991", "2190009"], ["8", "8", "\"The 17-Year Itch\"", "Jefferson Kibbee", "Amy Spies", "November 29, 1990", "2190007"], ["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:... | 1 | 128 | Answer: |
Table InputTable: [["Episode no.", "Airdate", "Viewers", "BBC Three weekly ranking", "Multichannels rank"], ["2", "2 May 2013", "978,000", "1", "11"], ["1", "25 April 2013", "979,000", "2", "9"], ["3", "9 May 2013", "885,000", "1", "11"], ["4", "16 May 2013", "880,000", "1", "13"], ["7", "6 June 2013", "975,000", "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:... | 1957000 | 128 | Answer: |
Table InputTable: [["Season", "Episodes", "Time slot (EST)", "Original airing\\nSeason premiere", "Original airing\\nSeason finale", "Original airing\\nTV season", "Rank", "Viewers\\n(in millions)"], ["6", "24", "Thursday 9pm/8c", "September 22, 2005", "May 18, 2006", "2005–2006", "#3", "24.86"], ["7", "24", "Thursday ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 24.86 million | 128 | Answer: |
Table InputTable: [["School Name", "Low grade", "High grade", "Students (K-12)", "FTE Teachers", "Student/teacher ratio"], ["Sheridan Road Christian School", "K", "12", "42", "5.9", "7.12"], ["Grace Christian School", "PK", "12", "117", "13", "9"], ["Bethany Lutheran School", "PK", "8", "28", "3.6", "7.78"], ["Nouvel 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:... | Christ Lutheran School | 128 | Answer: |
Table InputTable: [["No", "Driver", "Entrant", "Constructor", "Chassis", "Engine"], ["24", "Heinrich Joachim von Morgen", "Private entry", "Bugatti", "Bugatti T35B", "2.3 L8"], ["30", "Guy Bouriat", "Automobiles Ettore Bugatti", "Bugatti", "Bugatti T35B", "2.3 L8"], ["?", "William Grover-Williams", "Automobiles Ettore ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["25.", "12722", "Dakshin Express", "16:00", "16:02", "Daily"], ["14.", "12721", "Dakshin Express", "10:43", "10:44", "Daily"], ["29.", "51830", "Agra-Nagpur Pass", "18:04", "18:05", "Daily"], ["12.", "51829", "Nagpur-Agra ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Nagpur-Agra Pass | 128 | Answer: |
Table InputTable: [["Category", "Examples", "Cancers", "Gene functions"], ["Growth factors, or mitogens", "c-Sis", "glioblastomas, fibrosarcomas, osteosarcomas, breast carcinomas, and melanomas", "induces cell proliferation."], ["Transcription factors", "myc gene", "malignant T-cell lymphomas and acute myleoid leukemia... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | glioblastomas, fibrosarcomas, osteosarcomas, breast carcinomas, and melanomas | 128 | Answer: |
Table InputTable: [["Name", "Location", "Date established", "Area", "Description"], ["Kings Canyon", "California\\n36°48′N 118°33′W / 36.80°N 118.55°W", "March 4, 1940", "461,901.20 acres (1,869.2 km2)", "Home to several Giant sequoia groves and the General Grant Tree, the world's second largest, this park also has p... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pinnacles | 128 | Answer: |
Table InputTable: [["District", "Location", "Communities served"], ["Saint Helen's School", "Newbury, Ohio", "Roman Catholic Diocese of Cleveland K - 8th grade; parishioners and non-parishioners"], ["Saint Anselm School", "Chester Township, Ohio", "Roman Catholic Diocese of Cleveland K - 8th grade; preschool"], ["Saint... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Newbury, Ohio | 128 | Answer: |
Table InputTable: [["Ship", "Hull No.", "Status", "Years Active", "NVR\\nPage"], ["Joshua Humphreys", "T-AO-188", "Inactivated 1996, returned to service 2005", "1987-1996; 2005-2006; 2010-present", "AO188"], ["Benjamin Isherwood", "T-AO-191", "Cancelled when 95.3% complete,\\ntransferred to the Maritime Administration,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Andrew J. Higgins | 128 | Answer: |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2006", "Spartak Nizhny Novgorod", "Russia", "2", "36", "1"], ["2004", "CSKA Moscow", "Russia", "1", "0", "0"], ["2005", "CSKA Moscow", "Russia", "1", "0", "0"], ["2012/13", "Lokomotiv Moscow", "Russia", "1", "8", "0"], ["2013/14", "Lokomot... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Spartak Nizhny Novgorod | 128 | Answer: |
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