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", "Name", "Label", "Hot Black Singles", "Club Play Singles"], ["1983", "\"I Need You Now\"", "Jive", "―", "―"], ["1982", "\"Thanks to You\"", "Becket", "#44", "#1"], ["1987", "\"Send It C.O.D.\"", "New Image", "―", "―"], ["1982", "\"He's Gonna Take You Home\"", "Becket", "―", "―"], ["1984", "\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Becket | 128 | Answer: |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["IC 342", "SAB(rs)cd", "03h 46m 48.5s", "+68° 05′ 46″", "31 ± 3", "9.1"], ["NGC 1560", "SA(s)d", "04h 32m 49.1s", "+71° 52′ 59″", "-36 ± 5", "12.2"], ["NGC 1569", "Sbrst", "04h 30m 49.1s", "+64° 50′ 52,6″", "-... | 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:... | UGCA 105 | 128 | Answer: |
Table InputTable: [["Client", "Years of Operation", "Area of Operation", "Country", "Services"], ["Agoco", "1991-current", "Sarir field", "Libya", "Drilling, workover"], ["Perenco Oil Co.", "2000-01", "EchiraX Concession", "Gabon", "Drilling"], ["IPC-Dublin", "1997-97", "Kilwa", "Tanzania", "Drilling"], ["SOC", "2000-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:... | 2 | 128 | Answer: |
Table InputTable: [["#", "Title", "Performer(s)", "Film", "Length"], ["14", "\"A Dream Is a Wish Your Heart Makes\"", "Disney Channel Stars", "Cinderella", "3:46"], ["2", "\"That's How You Know\"", "Demi Lovato", "Enchanted", "3:12"], ["12", "\"Happy Working Song\"", "Amy Adams", "Enchanted", "2:09"], ["6", "\"So This ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 14 | 128 | Answer: |
Table InputTable: [["Chart Year", "Artist", "Album", "Song", "Billboard Hot 100", "Billboard Hot R&B/Hip Hop", ""], ["2014", "Rick Ross f/Jay Z", "Mastermind", "War Ready", "New Single", "", ""], ["2007", "Sean Paul", "The Trinity", "(When You Gonna) Give It Up To Me", "3", "5", ""], ["2012", "Tank", "This Is How I Fee... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | I Know f Rich Homie Quan | 128 | Answer: |
Table InputTable: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["25.", "12722", "Dakshin Express", "16:00", "16:02", "Daily"], ["1.", "18238", "Chhatisgarh Express", "01:23", "01:25", "Daily"], ["14.", "12721", "Dakshin Express", "10:43", "10:44", "Daily"], ["26.", "51183", "Bhusaval-N... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2006", "Spartak Nizhny Novgorod", "Russia", "2", "36", "1"], ["2005", "CSKA Moscow", "Russia", "1", "0", "0"], ["2004", "CSKA Moscow", "Russia", "1", "0", "0"], ["2013/14", "Lokomotiv Moscow", "Russia", "1", "14", "1"], ["2012/13", "Lokomo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: |
Table InputTable: [["Chart Year", "Artist", "Album", "Song", "Billboard Hot 100", "Billboard Hot R&B/Hip Hop", ""], ["2014", "Chris Brown", "X", "Loyal", "New Single", "", ""], ["2012", "Chris Brown f/ Big Sean & Wiz Khalifa", "Fortune", "Till I Die", "New Single", "12", ""], ["2009", "Jamie Foxx", "Intuition", "Digita... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ayumi Hamasaki, Like a doll | 128 | Answer: |
Table InputTable: [["Wrestler:", "Times:", "Date:", "Location:", "Notes:"], ["Tigers Mask", "4", "May 19, 2013", "Osaka, Japan", "Defeated Billyken Kid in the finals of a four-man tournament to win the vacant title."], ["Tigers Mask", "2", "July 29, 2010", "Osaka, Japan", ""], ["Tigers Mask", "1", "February 12, 2007", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Billyken Kid | 128 | Answer: |
Table InputTable: [["Team", "No", "Driver", "Class", "Rounds"], ["Josef Kaufmann Racing", "6", "Petri Suvanto", "R", "All"], ["Josef Kaufmann Racing", "4", "Robin Frijns", "", "All"], ["Josef Kaufmann Racing", "5", "Hannes van Asseldonk", "R", "All"], ["Fortec Motorsport", "26", "Christof von Grünigen", "", "All"], ["M... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["Texas", "Ted Cruz", "Republican", "Ted Cruz (R) 56.5%\\nPaul Sadler (D) 40.7%\\nJohn Jay Myers (L) 2.1%", "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:... | 8 | 128 | Answer: |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["7", "Mike Imrie", "4", "Saab", "Imrie Motor Sport", "23", "11", "-", "28", "62"], ["17", "Phil Crompton", "49", "Ford EA Falcon", "Phil Crompton", "17", "-", "-", "-", "17"], ["4", "Mick Monterosso", "2", "For... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Locomotive", "Name", "Serial No", "Entered Service", "Livery"], ["9007", "Dunc Gray", "1379/918266-7", "May 94", "FreightCorp"], ["9006", "Murray Rose", "1378/918266-6", "May 94", "FreightCorp"], ["9028", "-", "1400/918266/28", "Aug 94", "FreightCorp"], ["9015", "Duncan Armstrong", "1387/918266-15"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 35 | 128 | Answer: |
Table InputTable: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["22", "Justin Holiday", "6'6\"", "170", "F", "Fr.", "Chatsworth, CA, U.S.", "Campbell Hall School"], ["44", "Darnell Gant", "6'8\"", "215", "F", "Fr.", "Los Angeles, CA, U.S.", "Crenshaw HS"], ["5", "Justi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 inches | 128 | Answer: |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["1", "December 30, 2007", "@ Portland LumberJax", "Rose Garden", "L 10–11", "OT", "8,437", "0–1"], ["4", "January 20, 2007", "Minnesota Swarm", "HSBC Arena", "W 22–13", "", "12,883", "2–2"], ["12", "March 24, 2007", "Co... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sears Centre | 128 | Answer: |
Table InputTable: [["#", "Office", "Current Officer"], ["4", "Attorney General of New Mexico", "Gary King"], ["1", "Lieutenant Governor of New Mexico", "John Sanchez"], ["", "Governor of New Mexico", "Susana Martinez"], ["2", "Secretary of State of New Mexico", "Dianna Duran"], ["4", "Speaker of the House of Representa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Gary King | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["Quarterfinals-2", "2008..", "[[]]", "[[]]", "-"], ["Quarterfinals-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-6", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "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:... | 8 | 128 | Answer: |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Igor' Livanov\\n49.the actor", "Pelicans", "", "", "Eliminated\\nDay 11", "0"], ["Aleksandr Byalko\\n50.the physicist", "Pelicans", "Barracudas", "", "5th Voted Out\\nDay 15", "6"], ["Larisa Verbitskaya\\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:... | Aleksandr Byalko 50.the physicist | 128 | Answer: |
Table InputTable: [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["2", "Sunday", "November 17", "1:05pm", "Monterrey Flash", "L 6–10", "0–2", "UniSantos Park", "363"], ["1", "Sunday", "November 10", "3:05pm", "at Las Vegas Legends", "L 3–7", "0–1", "Orl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["28", "Singles", "Tore Torgersen", "206 - 275", "Doug Kent", "15 - 13"], ["31", "Singles", "Tore Torgersen", "202 - 264", "Chris Barnes", "15 - 16"], ["32", "Singles", "Osku Palermaa", "196 - 235", "Tommy Jones", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Builder", "Works numbers", "Dates", "CN numbers", "GT numbers", "Notes"], ["ALCO", "49663-49674", "1911", "2616-2625\\n2677-2678", "766-777", "built at ALCO's Brooks Works"], ["MLW", "42331-42345\\n43150-43164", "1907", "2577-2605\\n2661-2662\\n2685", "721-750", ""], ["ALCO", "42046-42060\\n43540-4... | 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:... | ALCO | 128 | Answer: |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2006/07", "KSV Roeselare", "Jupiler League", "29", "1"], ["2007/08", "KSV Roeselare", "Jupiler League", "25", "0"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2008/09", "Excelsior Mouscron", "Jupiler League", "31", "1"], ["2002/... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Belgian Second Division | 128 | Answer: |
Table InputTable: [["Band", "Disc/Song", "Released", "Disc Description", "Disk Size", "Image"], ["Men Without Hats", "I Got the Message", "1983", "", "", ""], ["Gary Numan", "Warriors", "1983", "Shaped like a Jet Fighter.", "7\"", ""], ["Men Without Hats", "The Safety Dance", "1982", "Oddly shaped picture disc of a 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:... | The Safety Dance | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "1.", "2 October 2011", "Malaysian Open, Malaysia", "Hard (i)", "Marcos Baghdatis", "6–4, 7–5"], ["Runner-up", "4.", "18 June 2011", "Aegon International, United Kingdom", "Grass", "Andreas Seppi", "6–7(5–7), 6–3, 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:... | 4 | 128 | Answer: |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "Pedro Brand"], ["Peravia", "Mariela Joselin Rosario Jiménez", "25", "1.86", "Santo Domingo"], ["La Romana", "Alina Charlin Espinal Luna", "19", "1.81", "La Romana"], ["Santiago"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 15 | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Runner-up", "8.", "December 18, 1995", "Grand Slam Cup, Munich, Germany", "Carpet", "Goran Ivanišević", "6–7(4–7), 3–6, 4–6"], ["Winner", "5.", "January 15, 1996", "Sydney, Australia", "Hard", "Gor... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Team", "Country", "Division", "Apps", "Goals"], ["2010/11", "Dnipro Dnipropetrovsk", "Ukraine", "1", "23", "0"], ["2007/08", "Dnipro Dnipropetrovsk", "Ukraine", "1", "24", "0"], ["2006/07", "Dnipro Dnipropetrovsk", "Ukraine", "1", "12", "0"], ["2009/10", "Dnipro Dnipropetrovsk", "Ukraine"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Russia | 128 | Answer: |
Table InputTable: [["isn", "name", "arrival\\ndate", "departure\\ndate", "notes"], ["82", "Rasul Kudayev", "", "2004-02-27", "Repatriated to Russia on January 3, 2004.[citation needed]\\nReported to have been repatriated on 24 February 2004 with six other Russian men.\\nAlso called \"Abdullah D. Kafkas\"."], ["209", "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:... | Ravil Mingazov | 128 | Answer: |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["20 March", "Fukuoka (A)", "Japan", "2–0", "Sanix Cup"], ["15 October", "Tashkent (N)", "Japan", "2–1", "AFC U-16 Championship (Semifinal)"], ["20 March", "Fukuoka (A)", "China PR", "1–0", "Sanix Cup"], ["18 October", "Tashkent (N)", "Iran", "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:... | 2 | 128 | Answer: |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["14", "Brian Smith", "", "Alfa Romeo GTV Chevrolet", "", "-", "28", "-", "-", "28"], ["17", "Phil Crompton", "49", "Ford EA Falcon", "Phil Crompton", "17", "-", "-", "-", "17"], ["13", "Chris Fing", "", "Chevro... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Briggs | 128 | Answer: |
Table InputTable: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Dzejlana \"Lana\" Baltić", "20", "179 cm (5 ft 10.5 in)", "Graz (originally from Bosnia)", "1st Eliminated in Episode 10"], ["Melisa Popanicić", "16", "175 cm (5 ft 9 in)", "Wörgl", "2nd Eliminated in Episode 10"], ["Christine Riener", "20", "18... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2002", "European Championships", "Munich, Germany", "8th", "4x400 m relay", "DQ"], ["2008", "Olympic Games", "Beijing, China", "6th", "400 m hurdles", "48.42"], ["2002", "European Championships", "Munich, Germany", "4th", "400 m", "45.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | 128 | Answer: |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2010", "Gaana Bajaana", "Radhey", "Kannada", ""], ["2013", "Dilwala", "Preethi", "Kannada", ""], ["2013", "Bahaddoor", "Anjali", "Kannada", "Filming"], ["2012", "Alemari", "Neeli", "Kannada", ""], ["2012", "Drama", "Nandini", "Kannada", ""], ["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:... | 6 | 128 | Answer: |
Table InputTable: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["16", "Grand Stade du Havre", "25,178", "Le Havre", "Upper Normandy", "Le Havre AC", "2012"], ["14", "Stade de la Meinau", "29,230", "Strasbourg", "Alsace", "RC Strasbourg", "1914"], ["22", "Stade Michel d'Ornano", "21,500", "Cae... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Languedoc-Roussillon | 128 | Answer: |
Table InputTable: [["Season", "Series", "Team", "Races", "Wins", "Poles", "F/Laps", "Podiums", "Points", "Position"], ["2009", "Asian Formula Renault Challenge", "Asia Racing Team", "12", "6", "2", "4", "7", "287", "2nd"], ["2007", "Asian Formula Renault Challenge", "Champ Motorsports", "12", "0", "0", "0", "1", "64", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 217 | 128 | Answer: |
Table InputTable: [["Stations", "Connections", "City/ Neighborhood", "Parking", "Date Opened"], ["Woodman", "Metro Local:154, 158", "Valley Glen", "None", "October 29, 2005"], ["Woodley", "Metro Local:164, 237", "Van Nuys", "None", "October 29, 2005"], ["Warner Center", "Metro Local: 150, 161, 164, 245, 645\\nMetro Rap... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Van Nuys | 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)"], ["13", "22", "Wednesday 10pm/9c", "September 26, 2012", "May 15, 2013", "2012–2013", "#25", "11.63"], ["3", "23", "Thurs... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["7", "153", "Allan Zahn", "", "United States", "Arkansas"], ["10", "209", "Steve Schall", "", "United States", "Arkansas"], ["3", "61", "Rich Yonakor", "", "United States", "North Carolina"], ["6", "129", "Dean Uthoff", "", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Arkansas | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["152", "Sergei Starikov", "Defense", "Soviet Union", "New Jersey Devils", "CSKA Moscow (USSR)"], ["153", "Milan Tichy", "Defense", "Czechoslovakia", "Chicago Blackhawks", "Prince Albert Raiders (WHL)"], ["163", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["8", "Tunisia", "0", "1", "0", "1"], ["2", "Greece", "6", "7", "6", "19"], ["5", "Morocco", "1", "1", "0", "2"], ["7", "Egypt", "0", "1", "7", "8"], ["1", "France", "11", "5", "3", "19"], ["5", "Turkey"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Morocco, Turkey, Tunisia | 128 | Answer: |
Table InputTable: [["Site", "Municipality", "Comments", "Coordinates", "Type", "Ref."], ["*Itsukushima\\n厳島\\nItsukushima", "Hatsukaichi", "also a Special Historic Site; Itsukushima Jinja is inscribed on the UNESCO World Heritage List", "34°16′16″N 132°18′22″E / 34.27116774°N 132.30612348°E", "8", "[3]"], ["Kikkawa M... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "China (CHN)", "14", "14", "13", "41"], ["2", "India (IND)", "7", "6", "4", "17"], ["9", "Qatar (QAT)", "1", "4", "3", "8"], ["8", "Sri Lanka (SRI)", "2", "0", "2", "4"], ["5", "South Korea (KOR)", "3", "2", "1", "6"], ["6", "Japan (JPN)"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Competition", "Venue", "Position", "Notes"], ["1999", "World Youth Championships", "Bydgoszcz, Poland", "13th (q)", "4.60 m"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "13th (q)", "5.20 m"], ["2012", "European Championships", "Helsinki, Finland", "–", "NM"], ["2006", "Wor... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Aircraft", "Origin", "Type", "In service", "Notes"], ["Cessna 404 Titan", "USA", "Light transport", "0", "1 in service with the Air Wing from 1991 to 2008"], ["Cessna 208 Caravan", "USA", "Light transport", "1", "in service since 2007"], ["Cessna 421C Golden Eagle", "USA", "Light transport", "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:... | Partenvia P.68 Observer | 128 | Answer: |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["6", "9", "Prisoners Of Planet X", "A UFO has been sighted. The pilot abducts the Fantastic Four from the Science Center and is setting course for Planet X. There, their dictator Kurrgo requests the Fantastic Four save their planet from another pl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Deadly Director | 128 | Answer: |
Table InputTable: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Radio Capital", "Elemedia", "Cusano Milanino", "Commercial; Classic hits", "FM, DAB, DVB-T, DVB-S", "http://www.capital.it"], ["Radio DeeJay", "Elemedia", "Milan", "Commercial;", "FM, DAB, DAB+, DVB-T, DVB-S", "http://www.deejay.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:... | 3 | 128 | Answer: |
Table InputTable: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["Denver Nuggets", "Denver, Colorado", "1949–1950", "1", "11–51", ".177", "0"], ["Pittsburgh Ironmen", "Pittsburgh, Pennsylvania", "1946–1947", "1", "15–45", ".250", "0"], ["Indianapolis Olympians",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chicago Stags | 128 | Answer: |
Table InputTable: [["Rank", "Athlete", "Nationality", "2.15", "2.20", "2.24", "2.27", "Result", "Notes"], ["16.", "Adam Shunk", "United States", "o", "xxx", "", "2.15", "", ""], ["10.", "Tora Harris", "United States", "o", "o", "xo", "xxx", "2.24", ""], ["1.", "Yaroslav Rybakov", "Russia", "o", "o", "o", "o", "2.27", "... | 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:... | Tora Harris | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Tunisia", "0", "1", "0", "1"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["7", "Egypt", "0", "1", "7", "8"], ["2", "Greece", "6", "7", "6", "19"], ["1", "France", "11", "5", "3", "19"], ["5", "Morocco", "1", "1", "0", "2"], ["Totaal", "To... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Egypt | 128 | Answer: |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["8", "Douglas Mackinnon", "Neil McKay", "November 16, 1997"], ["6", "John Reardon", "Neil McKay", "November 2, 1997"], ["9", "Douglas Mackinnon", "Neil McKay", "November 23, 1997"], ["16", "Douglas MacKinnon", "Neil McKay", "February 8, 1998"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Fran Carroll | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Name", "Nationality", "Time", "Notes"], ["1", "5", "Eskender Mustafaiev", "Ukraine", "38.77", "Q"], ["4", "6", "Christoffer Lindhe", "Sweden", "41.52", "Q"], ["5", "7", "Arnost Petracek", "Czech Republic", "43.12", ""], ["6", "2", "Ronystony Cordeiro da Silva", "Brazil", "44.22", ""... | 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:... | Ukraine | 128 | Answer: |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["20 March", "Fukuoka (A)", "China PR", "1–0", "Sanix Cup"], ["15 October", "Tashkent (N)", "Japan", "2–1", "AFC U-16 Championship (Semifinal)"], ["12 October", "Tashkent (A)", "Uzbekistan", "3–0", "AFC U-16 Championship (Quarterfinal)"], ["20 M... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Japan | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Name", "Country", "Time", "Time behind"], ["", "20", "Joey Cheek", "United States", "1:09.16", "+0.27"], ["", "19", "Shani Davis", "United States", "1:08.89", ""], ["9", "18", "Casey FitzRandolph", "United States", "1:09.59", "+0.70"], ["16", "7", "François-Olivier Roberge", "Canada... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Shani Davis | 128 | Answer: |
Table InputTable: [["Year", "Award", "Nominated work", "Category", "Result"], ["2008", "UK Music Video Awards", "\"Bleeding Love\"", "People's Choice Award", "Won"], ["2009", "HITO Pop Music Awards", "\"Bleeding Love\"", "Best Western Song", "Won"], ["2009", "APRA Awards", "\"Bleeding Love\"", "Most Played Foreign Work... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Release date", "Album Title", "Record Company", "Song Title", "Certification"], ["April 2009", "OPM Number 1's", "Star Records", "\"Can't Hurry Love\"", "PARI:"], ["March 5, 2011", "Kris Aquino: My Heart’s Journey", "Universal Records", "\"God Bless the Broken Road\"", "PARI: Platinum"], ["November... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Round", "Pick", "Name", "Position", "College"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["4", "125", "Reggie Austin", "DB", "Wake Forest"], ["3", "69", "Dez White", "WR", "Georgia Tech"], ["2", "39", "Mike Brown", "S", "Nebraska"], ["1", "9", "Brian Urlacher", "S", "New Mexico"], ["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:... | Brian Urlacher | 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:... | Benjamin Isherwood | 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:... | Athens Airport | 128 | Answer: |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["Processor chip limit", "1", "2", "64", "64"], ["Licensing model", "Per server", "Per server", "Per CPU pair + CAL", "Per CPU pair + CAL"], ["Virtualization rights", "N/A", "Either in 1 VM or 1 physical server, but not both at... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 64 | 128 | Answer: |
Table InputTable: [["Rank", "Player", "Nation", "Club", "Goals"], ["9", "Chris Banks", "USA", "Wilmington Hammerheads", "7"], ["3", "Maxwell Griffin", "USA", "Orlando City", "9"], ["3", "José Angulo", "USA", "Harrisburg City Islanders", "9"], ["2", "Matthew Delicâte", "ENG", "Richmond Kickers", "10"], ["3", "Luke Mulho... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Maxwell Griffin | 128 | Answer: |
Table InputTable: [["Departure", "Going to", "Calling at", "Arrival", "Operator"], ["11.01", "Skegness / Mablethorpe", "Boston, Firsby: Part to Skegness. Part to Willoughby, Sutton-on-Sea, Mablethorpe", "12.08 / 12.20", "GNR"], ["14.00", "York", "Lincoln, Gainsborough, Doncaster, Selby", "16.33", "GN&GE"], ["17.00", "M... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Grantham | 128 | Answer: |
Table InputTable: [["Season", "Series", "Team", "Races", "Wins", "Poles", "F/Laps", "Podiums", "Points", "Position"], ["2011", "Formula Pilota China", "Asia Racing Team", "12", "2", "0", "0", "3", "124", "2nd"], ["2008", "Asian Formula Renault Challenge", "Champ Motorsports", "13", "0", "0", "0", "3", "193", "4th"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Isabelle Raisa", "16", "170 cm (5 ft 7 in)", "Vienna", "Eliminated in Episode 1"], ["Michaela Schopf", "21", "172 cm (5 ft 7.5 in)", "Salzburg (originally from Germany)", "Quit in Episode 4"], ["Dzejlana \"Lana\" Baltić", "20", "179 cm (5 ft 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:... | 18 | 128 | Answer: |
Table InputTable: [["Name", "Route number(s)", "Length (mi)", "Location", "Notes"], ["Pilgrims Highway", "", "42.5", "Bourne to Braintree", "The Pilgrims Highway is the southern portion of Route 3, a 42-mile (68 km) long freeway which serves as a connector between Cape Cod (via U.S. Route 6) and the Boston metropolitan... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | East Boston Expressway | 128 | Answer: |
Table InputTable: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["6", "R1", "Jerez", "November 23", "Liverpool F.C.", "R.S.C. Anderlecht", "A.C. Milan", "Scuderia Playteam", "Report"], ["2", "R1", "Nürburgring", "September 21", "A.C. Milan", "PSV Eindhove... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["1998", "153", "14", "", ""], ["2008", "no data", "19", "no data", ""], ["1996", "130", "", "", ""], ["2009", "no data", "12", "no data", ""], ["1994", "154", "", "", ""], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1998 | 128 | Answer: |
Table InputTable: [["May 20-21\\n118", "March 9\\n120", "December 25-26\\n122", "October 13-14\\n124", "August 1-2\\n126"], ["May 20, 2012", "March 9, 2016", "December 26, 2019", "October 14, 2023", "August 2, 2027"], ["May 21, 1993", "March 9, 1997", "December 25, 2000", "October 14, 2004", "August 1, 2008"], ["May 21... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Country", "Athletes", "Time", "Deficit"], ["", "4", "United States", "Shani Davis\\nBrian Hansen\\nJonathan Kuck", "3:43.42", "+1.99"], ["5", "1", "Norway", "Sverre Lunde Pedersen\\nHåvard Bøkko\\nKristian Reistad Fredriksen", "3:46.33", "+4.90"], ["6", "3", "Germany", "Patrick Beck... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Scott Township", "1", "Columbia County", "", ""], ["Scott Township", "1", "Lawrence County", "", ""], ["Scott Township", "1", "Wayne County", "", ""], ["Scott Township", "1", "Allegheny County", "15106"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Allegheny County, Columbia County, Lackawanna County, Lawrence County, Wayne County | 128 | Answer: |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2008", "Matt Jordan", "Nevio Pizzolitto", "Joey Gjertsen", "Stefano Pesoli"], ["2010", "Philippe Billy", "Philippe Billy", "Tony Donatelli", "Ali Gerba"], ["2003", "Greg Sutton", "Gabriel Gervais", "David Fronim... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mauro Biello | 128 | Answer: |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2006", "Chengdu Wuniu", "China", "2", "1", "0"], ["2005", "Shandong Luneng", "China", "1", "0", "0"], ["2008", "Jiangsu Sainty", "China", "2", "24", "0"], ["2009", "Jiangsu Sainty", "China", "1", "15", "0"], ["2010", "Jiangsu Sainty", "Chi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2006 | 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"], ["4", "Road Atlanta", "#16 Marty Hinze Racing", "#4 Stratagraph Inc.", "#76 Malibu Grand Prix", "Results"], ["1", "Daytona", "#00 Kreepy Krauly ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 60 | 128 | Answer: |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["13 April 1944", "West of Mannheim, Germany", "Air", "1", "FW-190", "Destroyed"], ["27 November 1944", "South of Magdeburg, Germany", "Air", "4", "FW-190", "Destroyed"], ["24 April 1944", "South of Munich, Germany", "Air", "3", "Me-110"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1944 | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Name", "Position", "College"], ["7", "223", "James Cotton", "DE", "Ohio State"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["4", "125", "Reggie Austin", "DB", "Wake Forest"], ["3", "69", "Dez White", "WR", "Georgia Tech"], ["6", "174", "Paul Edinger", "K", "Michigan State... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Michael Green | 128 | Answer: |
Table InputTable: [["Location", "Reactor type", "Status", "Net\\nCapacity\\n(MWe)", "Gross\\nCapacity\\n(MWe)"], ["Chernobyl-6", "RBMK-1000", "construction cancelled in 1988", "950", "1,000"], ["Chernobyl-5", "RBMK-1000", "construction cancelled in 1988", "950", "1,000"], ["Kostroma-2", "RBMK-1500", "construction cance... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["8", "Saturday", "January 4", "7:05pm", "at Ontario Fury", "L 5–12", "4–4", "Citizens Business Bank Arena", "2,653"], ["4", "Sunday", "December 1", "1:05pm", "Ontario Fury", "W 18–4", "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:... | Sacramento Surge | 128 | Answer: |
Table InputTable: [["Season", "Episodes", "Season Premiere", "Season Finale"], ["4", "48", "October 13, 2008", "May 11, 2009"], ["3", "44", "October 15, 2007", "June 2, 2008"], ["2", "52", "October 7, 2006", "July 16, 2007"], ["7", "8", "October 29, 2013", "December 17, 2013"], ["5", "40", "October 12, 2009", "June 14,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Position", "Player", "Transferred From", "Date"], ["DF", "Winston Yap", "Sengkang Punggol", "1 January 2010"], ["DF", "Kazuki Yoshino", "Albirex Niigata (S)", "1 January 2010"], ["MF", "Guntur Djafril", "SAFFC", "1 January 2010"], ["MF", "Syed Karim", "SAFFC", "1 January 2010"], ["DF", "Sahairi Ram... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["No", "Name", "Code", "Formed", "Headquarters", "Administrative\\nDivision", "Area (km2)", "Population\\n(2001 census)", "% of State\\nPopulation", "Density\\n(per km2)", "Urban (%)", "Literacy (%)", "Sex Ratio", "Tehsils", "Source"], ["22", "Nashik", "NS", "1 May 1960", "Nashik", "Nashik", "15,530"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 15 | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Name", "Position", "College"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["4", "125", "Reggie Austin", "DB", "Wake Forest"], ["3", "87", "Dustin Lyman", "TE", "Wake Forest"], ["6", "174", "Paul Edinger", "K", "Michigan State"], ["7", "223", "James Cotton", "DE", "Ohio Sta... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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)", ""], ["Hindi", "422,048,642", "337,272,114", "40.0%", "336 M"], ["Bengali", "230,000,000", "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:... | Bengali | 128 | Answer: |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2008/09", "Excelsior Mouscron", "Jupiler League", "31", "1"], ["2009/10", "Győri ETO FC", "Soproni Liga", "1", "0"], ["2009/10", "Excelsior Mouscron", "Jupiler League", "14", "1"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["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:... | KSV Roeselare | 128 | Answer: |
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["1", "Alejandro Valverde (ESP)", "Caisse d'Epargne", "5h 29' 10\"", "40"], ["5", "Franco Pellizotti (ITA)", "Liquigas", "s.t.", "15"], ["4", "Paolo Bettini (ITA)", "Quick Step", "s.t.", "20"], ["8", "Stéphane Goubert (FRA)", "Ag2r-La Mondi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 60 | 128 | Answer: |
Table InputTable: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1978", "S\\n+2.0", "10", "", "Mirage M9\\nRenault 2.0L Turbo V6", "Grand Touring Cars Inc.", "Vern Schuppan\\n Sam Posey", "293", "10th", "5th"], ["1974", "S\\n3.0", "15", "", "Ligier JS2\\nMaserati 3.0L ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Conference", "# of Bids", "Record", "Win %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Western Athletic", "1", "1–1", ".500", "1", "–", "–", "–", "–"], ["West Coast", "2", "0–2", "–", "–", "–", "–", "–", "–"], ["Mid-Continent", "2", "0–2", "–", "... | 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:... | Atlantic Coast | 128 | Answer: |
Table InputTable: [["Series", "Name", "Age", "Hometown", "Occupation", "Status"], ["BB1", "Anna Nolan", "29", "Dublin", "Office Manager", "2nd - Runner-up"], ["BB8", "Amanda Marchant", "18", "Stoke-on-Trent", "Student", "2nd - Runner-up"], ["UBB", "Chantelle Houghton", "27", "Essex", "Participated in CBB5", "3rd - Thir... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Dowling | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "3.", "21 May 2006", "Hamburg Masters, Hamburg, Germany", "Clay", "Radek Štěpánek", "6–1, 6–3, 6–3"], ["Winner", "1.", "29 July 2001", "Orange Warsaw Open, Sopot, Poland", "Clay", "Albert Portas", "1–6, 7–5, 7–6(7–2)... | 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:... | above | 128 | Answer: |
Table InputTable: [["Year", "Single", "Peak chart positions\\nAUS", "Peak chart positions\\nAUT", "Peak chart positions\\nBEL\\n(Fl)", "Peak chart positions\\nBEL\\n(Wa)", "Peak chart positions\\nFIN", "Peak chart positions\\nFRA", "Peak chart positions\\nGER", "Peak chart positions\\nNED", "Peak chart positions\\nSWE"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["22", "Ballygowan", "A Redmond", "11", "10-13", "66/1", "Refused"], ["?", "Fearless Cavalier", "R West", "14", "10-13", "100/1", "Refused"], ["22", "Kapeno", "David Dick", "8", "11-6", "100/8", "Fell"], ["06", "Forgott... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date of Incident", "Offender", "Team", "Offense", "Date of Action", "Length"], ["March 8, 2012", "Mike Green", "Washington Capitals", "Illegal hit to the head of Brett Connolly.", "March 9, 2012", "3 games"], ["May 6, 2012", "Claude Giroux", "Philadelphia Flyers", "Illegal hit to the head of Dainiu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rnd", "Circuit", "GTP Winning Team\\nGTP Winning Drivers", "GTO Winning Team\\nGTO Winning Drivers", "GTU Winning Team\\nGTU Winning Drivers", "Results"], ["14", "Pocono", "#14 Holbert Racing", "#65 English Enterprises", "#87 Performance Motorsports", "Results"], ["1", "Daytona", "Sarel van der Mer... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Elliot Forbes-Robinson | 128 | Answer: |
Table InputTable: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["32", "Strafford Union Academy", "September 22, 1983\\n(#83001155)", "NH 126 and NH 202A\\n43°16′07″N 71°07′23″W / 43.268611°N 71.123056°W", "Strafford", ""], ["33", "Gen. John Sullivan House", "November 28, 1972\\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Back River Farm | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["1", "15", "Reggie Johnson", "PF/C", "United States", "Tennessee"], ["3", "60", "Lavon Mercer", "", "United States", "Georgia"], ["9", "192", "Al Williams", "", "United States", "North Texas State"], ["5", "107", "Gib Hinz",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "5.", "4 September 2012", "Mestre, Italy", "Clay", "Estrella Cabeza Candela", "6–1, 3–6, 6–1"], ["Runner-up", "5.", "13 March 2007", "Orange, USA", "Hard", "Naomi Cavaday", "6–1, 6–1"], ["Winner", "1.", "25 July 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:... | 5 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["2006–2007", "Family Guy", "Esther", "Voice\\n3 episodes"], ["1997", "Smart Guy", "Roxanne", "1 episode"], ["2014", "Melissa and Joey", "Gillian", "Season 3 Episode 24 'To Tell the Truth'"], ["1994–1999", "Sister, Sister", "Tamera Campbell", "119 episodes"], ["201... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Esther | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "27", "Henri Pescarolo", "March-Ford", "77", "+ 3 Laps", "13", ""], ["5", "1", "Emerson Fittipaldi", "Lotus-Ford", "79", "+ 1 Lap", "17", "2"], ["2", "17", "Ronnie Peterson", "March-Ford", "80", "+ 25.6", "6", "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:... | 4 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "26", "Philippe Alliot", "Ligier-Renault", "79", "+ 3 Laps", "8", ""], ["4", "3", "Martin Brundle", "Tyrrell-Renault", "81", "+ 1 Lap", "16", "3"], ["Ret", "8", "Derek Warwick", "Brabham-BMW", "57", "Brakes", "20"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Wrestler:", "Times:", "Date:", "Location:", "Notes:"], ["Super Delfin", "1", "January 4, 2000", "Tokyo, Japan", "Beat Dick Togo for the championship"], ["Super Delfin", "2", "June 18, 2000", "Osaka, Japan", ""], ["Gamma", "1", "June 24, 2001", "Osaka, Japan", ""], ["Dick Togo", "1", "July 25, 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:... | Billyken Kid | 128 | Answer: |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Capital City", "Natalia Varnakova", "Наталиа Варнакова", "19", "1.80 m (5 ft 11 in)", "Moscow"], ["Chuvash Republic", "Martha Neosova", "Мартха Неосова", "19", "1.78 m (5 ft 10 in)", "Cheboksary"], ["Mordovian Republic", "Olga S... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Natalia Varnakova | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Game site", "NFL Recap", "Attendance"], ["13", "November 27, 1986", "Seattle Seahawks", "L 14–31", "Texas Stadium", "[13]", "58,020"], ["9", "November 2, 1986", "at New York Giants", "L 14–17", "Giants Stadium", "[9]", "74,871"], ["7", "October 19, 1986", "at 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:... | December 14, 1986 | 128 | Answer: |
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