Split (1)

test · 1.03k rows

context stringlengths 130 6.32k	question stringlengths 1.42k 1.58k	answer stringlengths 2 496k	max_new_tokens int64 2.05k 2.05k	answer_prefix stringclasses 1 value
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["MAC", "Macao", "Asia", "Eastern Asia", "18.0", "nan", "473000", "81.6", "5749.0", "5940.0", "Macau/Aomen", "Special Administrative Region of China", "Jiang Zemin", "2454.0", "MO"], ["ABW", "Aruba", "North America", "Caribbean", "193.0", "nan", "103000", "78.4", "828.0", "793.0", "Aruba", "Nonmetropolitan Territory of The Netherlands", "Beatrix", "129.0", "AW"], ["ATF", "French Southern territories", "Antarctica", "Antarctica", "7780.0", "nan", "0", "nan", "0.0", "nan", "Terres australes françaises", "Nonmetropolitan Territory of France", "Jacques Chirac", "nan", "TF"], ["FRO", "Faroe Islands", "Europe", "Nordic Countries", "1399.0", "nan", "43000", "78.4", "0.0", "nan", "Føroyar", "Part of Denmark", "Margrethe II", "901.0", "FO"], ["BRA", "Brazil", "South America", "South America", "8547403.0", "1822.0", "170115000", "62.9", "776739.0", "804108.0", "Brasil", "Federal Republic", "Fernando Henrique Cardoso", "211.0", "BR"], ["GUF", "French Guiana", "South America", "South America", "90000.0", "nan", "181000", "76.1", "681.0", "nan", "Guyane française", "Overseas Department of France", "Jacques Chirac", "3014.0", "GF"], ["DNK", "Denmark", "Europe", "Nordic Countries", "43094.0", "800.0", "5330000", "76.5", "174099.0", "169264.0", "Danmark", "Constitutional Monarchy", "Margrethe II", "3315.0", "DK"], ["BRB", "Barbados", "North America", "Caribbean", "430.0", "1966.0", "270000", "73.0", "2223.0", "2186.0", "Barbados", "Constitutional Monarchy", "Elisabeth II", "174.0", "BB"], ["GEO", "Georgia", "Asia", "Middle East", "69700.0", "1991.0", "4968000", "64.5", "6064.0", "5924.0", "Sakartvelo", "Republic", "Eduard Ševardnadze", "905.0", "GE"], ["BOL", "Bolivia", "South America", "South America", "1098581.0", "1825.0", "8329000", "63.7", "8571.0", "7967.0", "Bolivia", "Republic", "Hugo Bánzer Suárez", "194.0", "BO"], ["GLP", "Guadeloupe", "North America", "Caribbean", "1705.0", "nan", "456000", "77.0", "3501.0", "nan", "Guadeloupe", "Overseas Department of France", "Jacques Chirac", "919.0", "GP"], ["NLD", "Netherlands", "Europe", "Western Europe", "41526.0", "1581.0", "15864000", "78.3", "371362.0", "360478.0", "Nederland", "Constitutional Monarchy", "Beatrix", "5.0", "NL"], ["GRL", "Greenland", "North America", "North America", "2166090.0", "nan", "56000", "68.1", "0.0", "nan", "Kalaallit Nunaat/Grønland", "Part of Denmark", "Margrethe II", "917.0", "GL"], ["MDA", "Moldova", "Europe", "Eastern Europe", "33851.0", "1991.0", "4380000", "64.5", "1579.0", "1872.0", "Moldova", "Republic", "Vladimir Voronin", "2690.0", "MD"], ["PRT", "Portugal", "Europe", "Southern Europe", "91982.0", "1143.0", "9997600", "75.8", "105954.0", "102133.0", "Portugal", "Republic", "Jorge Sampãio", "2914.0", "PT"], ["GIB", "Gibraltar", "Europe", "Southern Europe", "6.0", "nan", "25000", "79.0", "258.0", "nan", "Gibraltar", "Dependent Territory of the UK", "Elisabeth II", "915.0", "GI"], ["GBR", "United Kingdom", "Europe", "British Islands", "242900.0", "1066.0", "59623400", "77.7", "1378330.0", "1296830.0", "United Kingdom", "Constitutional Monarchy", "Elisabeth II", "456.0", "GB"], ["ALB", "Albania", "Europe", "Southern Europe", "28748.0", "1912.0", "3401200", "71.6", "3205.0", "2500.0", "Shqipëria", "Republic", "Rexhep Mejdani", "34.0", "AL"], ["SHN", "Saint Helena", "Africa", "Western Africa", "314.0", "nan", "6000", "76.8", "0.0", "nan", "Saint Helena", "Dependent Territory of the UK", "Elisabeth II", "3063.0", "SH"], ["EST", "Estonia", "Europe", "Baltic Countries", "45227.0", "1991.0", "1439200", "69.5", "5328.0", "3371.0", "Eesti", "Republic", "Lennart Meri", "3791.0", "EE"], ["HKG", "Hong Kong", "Asia", "Eastern Asia", "1075.0", "nan", "6782000", "79.5", "166448.0", "173610.0", "Xianggang/Hong Kong", "Special Administrative Region of China", "Jiang Zemin", "937.0", "HK"], ["CUB", "Cuba", "North America", "Caribbean", "110861.0", "1902.0", "11201000", "76.2", "17843.0", "18862.0", "Cuba", "Socialistic Republic", "Fidel Castro Ruz", "2413.0", "CU"], ["COL", "Colombia", "South America", "South America", "1138914.0", "1810.0", "42321000", "70.3", "102896.0", "105116.0", "Colombia", "Republic", "Andrés Pastrana Arango", "2257.0", "CO"], ["MCO", "Monaco", "Europe", "Western Europe", "1.5", "1861.0", "34000", "78.8", "776.0", "nan", "Monaco", "Constitutional Monarchy", "Rainier III", "2695.0", "MC"], ["BEL", "Belgium", "Europe", "Western Europe", "30518.0", "1830.0", "10239000", "77.8", "249704.0", "243948.0", "België/Belgique", "Constitutional Monarchy, Federation", "Albert II", "179.0", "BE"], ["MSR", "Montserrat", "North America", "Caribbean", "102.0", "nan", "11000", "78.0", "109.0", "nan", "Montserrat", "Dependent Territory of the UK", "Elisabeth II", "2697.0", "MS"], ["TKM", "Turkmenistan", "Asia", "Southern and Central Asia", "488100.0", "1991.0", "4459000", "60.9", "4397.0", "2000.0", "Türkmenostan", "Republic", "Saparmurad Nijazov", "3419.0", "TM"], ["IDN", "Indonesia", "Asia", "Southeast Asia", "1904569.0", "1945.0", "212107000", "68.0", "84982.0", "215002.0", "Indonesia", "Republic", "Abdurrahman Wahid", "939.0", "ID"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names and areas of countries with the top 5 largest area?	[["Russian Federation", "17075400.0"], ["Antarctica", "13120000.0"], ["Canada", "9970610.0"], ["China", "9572900.0"], ["United States", "9363520.0"]]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["GIB", "Gibraltar", "Europe", "Southern Europe", "6.0", "nan", "25000", "79.0", "258.0", "nan", "Gibraltar", "Dependent Territory of the UK", "Elisabeth II", "915.0", "GI"], ["GBR", "United Kingdom", "Europe", "British Islands", "242900.0", "1066.0", "59623400", "77.7", "1378330.0", "1296830.0", "United Kingdom", "Constitutional Monarchy", "Elisabeth II", "456.0", "GB"], ["MSR", "Montserrat", "North America", "Caribbean", "102.0", "nan", "11000", "78.0", "109.0", "nan", "Montserrat", "Dependent Territory of the UK", "Elisabeth II", "2697.0", "MS"], ["SHN", "Saint Helena", "Africa", "Western Africa", "314.0", "nan", "6000", "76.8", "0.0", "nan", "Saint Helena", "Dependent Territory of the UK", "Elisabeth II", "3063.0", "SH"], ["ATF", "French Southern territories", "Antarctica", "Antarctica", "7780.0", "nan", "0", "nan", "0.0", "nan", "Terres australes françaises", "Nonmetropolitan Territory of France", "Jacques Chirac", "nan", "TF"], ["DNK", "Denmark", "Europe", "Nordic Countries", "43094.0", "800.0", "5330000", "76.5", "174099.0", "169264.0", "Danmark", "Constitutional Monarchy", "Margrethe II", "3315.0", "DK"], ["NLD", "Netherlands", "Europe", "Western Europe", "41526.0", "1581.0", "15864000", "78.3", "371362.0", "360478.0", "Nederland", "Constitutional Monarchy", "Beatrix", "5.0", "NL"], ["PCN", "Pitcairn", "Oceania", "Polynesia", "49.0", "nan", "50", "nan", "0.0", "nan", "Pitcairn", "Dependent Territory of the UK", "Elisabeth II", "2912.0", "PN"], ["BRB", "Barbados", "North America", "Caribbean", "430.0", "1966.0", "270000", "73.0", "2223.0", "2186.0", "Barbados", "Constitutional Monarchy", "Elisabeth II", "174.0", "BB"], ["WLF", "Wallis and Futuna", "Oceania", "Polynesia", "200.0", "nan", "15000", "nan", "0.0", "nan", "Wallis-et-Futuna", "Nonmetropolitan Territory of France", "Jacques Chirac", "3536.0", "WF"], ["ABW", "Aruba", "North America", "Caribbean", "193.0", "nan", "103000", "78.4", "828.0", "793.0", "Aruba", "Nonmetropolitan Territory of The Netherlands", "Beatrix", "129.0", "AW"], ["MCO", "Monaco", "Europe", "Western Europe", "1.5", "1861.0", "34000", "78.8", "776.0", "nan", "Monaco", "Constitutional Monarchy", "Rainier III", "2695.0", "MC"], ["GLP", "Guadeloupe", "North America", "Caribbean", "1705.0", "nan", "456000", "77.0", "3501.0", "nan", "Guadeloupe", "Overseas Department of France", "Jacques Chirac", "919.0", "GP"], ["BEL", "Belgium", "Europe", "Western Europe", "30518.0", "1830.0", "10239000", "77.8", "249704.0", "243948.0", "België/Belgique", "Constitutional Monarchy, Federation", "Albert II", "179.0", "BE"], ["MDA", "Moldova", "Europe", "Eastern Europe", "33851.0", "1991.0", "4380000", "64.5", "1579.0", "1872.0", "Moldova", "Republic", "Vladimir Voronin", "2690.0", "MD"], ["LIE", "Liechtenstein", "Europe", "Western Europe", "160.0", "1806.0", "32300", "78.8", "1119.0", "1084.0", "Liechtenstein", "Constitutional Monarchy", "Hans-Adam II", "2446.0", "LI"], ["NOR", "Norway", "Europe", "Nordic Countries", "323877.0", "1905.0", "4478500", "78.7", "145895.0", "153370.0", "Norge", "Constitutional Monarchy", "Harald V", "2807.0", "NO"], ["BOL", "Bolivia", "South America", "South America", "1098581.0", "1825.0", "8329000", "63.7", "8571.0", "7967.0", "Bolivia", "Republic", "Hugo Bánzer Suárez", "194.0", "BO"], ["MYT", "Mayotte", "Africa", "Eastern Africa", "373.0", "nan", "149000", "59.5", "0.0", "nan", "Mayotte", "Territorial Collectivity of France", "Jacques Chirac", "2514.0", "YT"], ["GRD", "Grenada", "North America", "Caribbean", "344.0", "1974.0", "94000", "64.5", "318.0", "nan", "Grenada", "Constitutional Monarchy", "Elisabeth II", "916.0", "GD"], ["SGS", "South Georgia and the South Sandwich Islands", "Antarctica", "Antarctica", "3903.0", "nan", "0", "nan", "0.0", "nan", "South Georgia and the South Sandwich Islands", "Dependent Territory of the UK", "Elisabeth II", "nan", "GS"], ["BHS", "Bahamas", "North America", "Caribbean", "13878.0", "1973.0", "307000", "71.1", "3527.0", "3347.0", "The Bahamas", "Constitutional Monarchy", "Elisabeth II", "148.0", "BS"], ["PYF", "French Polynesia", "Oceania", "Polynesia", "4000.0", "nan", "235000", "74.8", "818.0", "781.0", "Polynésie française", "Nonmetropolitan Territory of France", "Jacques Chirac", "3016.0", "PF"], ["PRT", "Portugal", "Europe", "Southern Europe", "91982.0", "1143.0", "9997600", "75.8", "105954.0", "102133.0", "Portugal", "Republic", "Jorge Sampãio", "2914.0", "PT"], ["MYS", "Malaysia", "Asia", "Southeast Asia", "329758.0", "1957.0", "22244000", "70.8", "69213.0", "97884.0", "Malaysia", "Constitutional Monarchy, Federation", "Salahuddin Abdul Aziz Shah Alhaj", "2464.0", "MY"], ["GEO", "Georgia", "Asia", "Middle East", "69700.0", "1991.0", "4968000", "64.5", "6064.0", "5924.0", "Sakartvelo", "Republic", "Eduard Ševardnadze", "905.0", "GE"], ["OMN", "Oman", "Asia", "Middle East", "309500.0", "1951.0", "2542000", "71.8", "16904.0", "16153.0", "´Uman", "Monarchy (Sultanate)", "Qabus ibn Sa´id", "2821.0", "OM"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the names and surface areas of the 5 largest countries.	[["Russian Federation", "17075400.0"], ["Antarctica", "13120000.0"], ["Canada", "9970610.0"], ["China", "9572900.0"], ["United States", "9363520.0"]]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["CHN", "China", "Asia", "Eastern Asia", "9572900.0", "-1523.0", "1277558000", "71.4", "982268.0", "917719.0", "Zhongquo", "People'sRepublic", "Jiang Zemin", "1891.0", "CN"], ["DNK", "Denmark", "Europe", "Nordic Countries", "43094.0", "800.0", "5330000", "76.5", "174099.0", "169264.0", "Danmark", "Constitutional Monarchy", "Margrethe II", "3315.0", "DK"], ["NLD", "Netherlands", "Europe", "Western Europe", "41526.0", "1581.0", "15864000", "78.3", "371362.0", "360478.0", "Nederland", "Constitutional Monarchy", "Beatrix", "5.0", "NL"], ["MAC", "Macao", "Asia", "Eastern Asia", "18.0", "nan", "473000", "81.6", "5749.0", "5940.0", "Macau/Aomen", "Special Administrative Region of China", "Jiang Zemin", "2454.0", "MO"], ["BRA", "Brazil", "South America", "South America", "8547403.0", "1822.0", "170115000", "62.9", "776739.0", "804108.0", "Brasil", "Federal Republic", "Fernando Henrique Cardoso", "211.0", "BR"], ["LAO", "Laos", "Asia", "Southeast Asia", "236800.0", "1953.0", "5433000", "53.1", "1292.0", "1746.0", "Lao", "Republic", "Khamtay Siphandone", "2432.0", "LA"], ["NOR", "Norway", "Europe", "Nordic Countries", "323877.0", "1905.0", "4478500", "78.7", "145895.0", "153370.0", "Norge", "Constitutional Monarchy", "Harald V", "2807.0", "NO"], ["KHM", "Cambodia", "Asia", "Southeast Asia", "181035.0", "1953.0", "11168000", "56.5", "5121.0", "5670.0", "Kâmpuchéa", "Constitutional Monarchy", "Norodom Sihanouk", "1800.0", "KH"], ["HKG", "Hong Kong", "Asia", "Eastern Asia", "1075.0", "nan", "6782000", "79.5", "166448.0", "173610.0", "Xianggang/Hong Kong", "Special Administrative Region of China", "Jiang Zemin", "937.0", "HK"], ["SWE", "Sweden", "Europe", "Nordic Countries", "449964.0", "836.0", "8861400", "79.6", "226492.0", "227757.0", "Sverige", "Constitutional Monarchy", "Carl XVI Gustaf", "3048.0", "SE"], ["THA", "Thailand", "Asia", "Southeast Asia", "513115.0", "1350.0", "61399000", "68.6", "116416.0", "153907.0", "Prathet Thai", "Constitutional Monarchy", "Bhumibol Adulyadej", "3320.0", "TH"], ["BTN", "Bhutan", "Asia", "Southern and Central Asia", "47000.0", "1910.0", "2124000", "52.4", "372.0", "383.0", "Druk-Yul", "Monarchy", "Jigme Singye Wangchuk", "192.0", "BT"], ["IDN", "Indonesia", "Asia", "Southeast Asia", "1904569.0", "1945.0", "212107000", "68.0", "84982.0", "215002.0", "Indonesia", "Republic", "Abdurrahman Wahid", "939.0", "ID"], ["PRT", "Portugal", "Europe", "Southern Europe", "91982.0", "1143.0", "9997600", "75.8", "105954.0", "102133.0", "Portugal", "Republic", "Jorge Sampãio", "2914.0", "PT"], ["EST", "Estonia", "Europe", "Baltic Countries", "45227.0", "1991.0", "1439200", "69.5", "5328.0", "3371.0", "Eesti", "Republic", "Lennart Meri", "3791.0", "EE"], ["YUG", "Yugoslavia", "Europe", "Southern Europe", "102173.0", "1918.0", "10640000", "72.4", "17000.0", "nan", "Jugoslavija", "Federal Republic", "Vojislav Koštunica", "1792.0", "YU"], ["JPN", "Japan", "Asia", "Eastern Asia", "377829.0", "-660.0", "126714000", "80.7", "3787042.0", "4192638.0", "Nihon/Nippon", "Constitutional Monarchy", "Akihito", "1532.0", "JP"], ["FRA", "France", "Europe", "Western Europe", "551500.0", "843.0", "59225700", "78.8", "1424285.0", "1392448.0", "France", "Republic", "Jacques Chirac", "2974.0", "FR"], ["MCO", "Monaco", "Europe", "Western Europe", "1.5", "1861.0", "34000", "78.8", "776.0", "nan", "Monaco", "Constitutional Monarchy", "Rainier III", "2695.0", "MC"], ["MYS", "Malaysia", "Asia", "Southeast Asia", "329758.0", "1957.0", "22244000", "70.8", "69213.0", "97884.0", "Malaysia", "Constitutional Monarchy, Federation", "Salahuddin Abdul Aziz Shah Alhaj", "2464.0", "MY"], ["BEL", "Belgium", "Europe", "Western Europe", "30518.0", "1830.0", "10239000", "77.8", "249704.0", "243948.0", "België/Belgique", "Constitutional Monarchy, Federation", "Albert II", "179.0", "BE"], ["ESP", "Spain", "Europe", "Southern Europe", "505992.0", "1492.0", "39441700", "78.8", "553233.0", "532031.0", "España", "Constitutional Monarchy", "Juan Carlos I", "653.0", "ES"], ["BOL", "Bolivia", "South America", "South America", "1098581.0", "1825.0", "8329000", "63.7", "8571.0", "7967.0", "Bolivia", "Republic", "Hugo Bánzer Suárez", "194.0", "BO"], ["TKM", "Turkmenistan", "Asia", "Southern and Central Asia", "488100.0", "1991.0", "4459000", "60.9", "4397.0", "2000.0", "Türkmenostan", "Republic", "Saparmurad Nijazov", "3419.0", "TM"], ["FRO", "Faroe Islands", "Europe", "Nordic Countries", "1399.0", "nan", "43000", "78.4", "0.0", "nan", "Føroyar", "Part of Denmark", "Margrethe II", "901.0", "FO"], ["KGZ", "Kyrgyzstan", "Asia", "Southern and Central Asia", "199900.0", "1991.0", "4699000", "63.4", "1626.0", "1767.0", "Kyrgyzstan", "Republic", "Askar Akajev", "2253.0", "KG"], ["MYT", "Mayotte", "Africa", "Eastern Africa", "373.0", "nan", "149000", "59.5", "0.0", "nan", "Mayotte", "Territorial Collectivity of France", "Jacques Chirac", "2514.0", "YT"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are names of countries with the top 3 largest population?	[["China"], ["India"], ["United States"]]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["DNK", "Denmark", "Europe", "Nordic Countries", "43094.0", "800.0", "5330000", "76.5", "174099.0", "169264.0", "Danmark", "Constitutional Monarchy", "Margrethe II", "3315.0", "DK"], ["CHN", "China", "Asia", "Eastern Asia", "9572900.0", "-1523.0", "1277558000", "71.4", "982268.0", "917719.0", "Zhongquo", "People'sRepublic", "Jiang Zemin", "1891.0", "CN"], ["NLD", "Netherlands", "Europe", "Western Europe", "41526.0", "1581.0", "15864000", "78.3", "371362.0", "360478.0", "Nederland", "Constitutional Monarchy", "Beatrix", "5.0", "NL"], ["JPN", "Japan", "Asia", "Eastern Asia", "377829.0", "-660.0", "126714000", "80.7", "3787042.0", "4192638.0", "Nihon/Nippon", "Constitutional Monarchy", "Akihito", "1532.0", "JP"], ["SHN", "Saint Helena", "Africa", "Western Africa", "314.0", "nan", "6000", "76.8", "0.0", "nan", "Saint Helena", "Dependent Territory of the UK", "Elisabeth II", "3063.0", "SH"], ["THA", "Thailand", "Asia", "Southeast Asia", "513115.0", "1350.0", "61399000", "68.6", "116416.0", "153907.0", "Prathet Thai", "Constitutional Monarchy", "Bhumibol Adulyadej", "3320.0", "TH"], ["MCO", "Monaco", "Europe", "Western Europe", "1.5", "1861.0", "34000", "78.8", "776.0", "nan", "Monaco", "Constitutional Monarchy", "Rainier III", "2695.0", "MC"], ["NOR", "Norway", "Europe", "Nordic Countries", "323877.0", "1905.0", "4478500", "78.7", "145895.0", "153370.0", "Norge", "Constitutional Monarchy", "Harald V", "2807.0", "NO"], ["YUG", "Yugoslavia", "Europe", "Southern Europe", "102173.0", "1918.0", "10640000", "72.4", "17000.0", "nan", "Jugoslavija", "Federal Republic", "Vojislav Koštunica", "1792.0", "YU"], ["GBR", "United Kingdom", "Europe", "British Islands", "242900.0", "1066.0", "59623400", "77.7", "1378330.0", "1296830.0", "United Kingdom", "Constitutional Monarchy", "Elisabeth II", "456.0", "GB"], ["ESP", "Spain", "Europe", "Southern Europe", "505992.0", "1492.0", "39441700", "78.8", "553233.0", "532031.0", "España", "Constitutional Monarchy", "Juan Carlos I", "653.0", "ES"], ["PCN", "Pitcairn", "Oceania", "Polynesia", "49.0", "nan", "50", "nan", "0.0", "nan", "Pitcairn", "Dependent Territory of the UK", "Elisabeth II", "2912.0", "PN"], ["MYS", "Malaysia", "Asia", "Southeast Asia", "329758.0", "1957.0", "22244000", "70.8", "69213.0", "97884.0", "Malaysia", "Constitutional Monarchy, Federation", "Salahuddin Abdul Aziz Shah Alhaj", "2464.0", "MY"], ["BEL", "Belgium", "Europe", "Western Europe", "30518.0", "1830.0", "10239000", "77.8", "249704.0", "243948.0", "België/Belgique", "Constitutional Monarchy, Federation", "Albert II", "179.0", "BE"], ["MSR", "Montserrat", "North America", "Caribbean", "102.0", "nan", "11000", "78.0", "109.0", "nan", "Montserrat", "Dependent Territory of the UK", "Elisabeth II", "2697.0", "MS"], ["LIE", "Liechtenstein", "Europe", "Western Europe", "160.0", "1806.0", "32300", "78.8", "1119.0", "1084.0", "Liechtenstein", "Constitutional Monarchy", "Hans-Adam II", "2446.0", "LI"], ["FLK", "Falkland Islands", "South America", "South America", "12173.0", "nan", "2000", "nan", "0.0", "nan", "Falkland Islands", "Dependent Territory of the UK", "Elisabeth II", "763.0", "FK"], ["SWE", "Sweden", "Europe", "Nordic Countries", "449964.0", "836.0", "8861400", "79.6", "226492.0", "227757.0", "Sverige", "Constitutional Monarchy", "Carl XVI Gustaf", "3048.0", "SE"], ["AUS", "Australia", "Oceania", "Australia and New Zealand", "7741220.0", "1901.0", "18886000", "79.8", "351182.0", "392911.0", "Australia", "Constitutional Monarchy, Federation", "Elisabeth II", "135.0", "AU"], ["SWZ", "Swaziland", "Africa", "Southern Africa", "17364.0", "1968.0", "1008000", "40.4", "1206.0", "1312.0", "kaNgwane", "Monarchy", "Mswati III", "3244.0", "SZ"], ["LAO", "Laos", "Asia", "Southeast Asia", "236800.0", "1953.0", "5433000", "53.1", "1292.0", "1746.0", "Lao", "Republic", "Khamtay Siphandone", "2432.0", "LA"], ["BRB", "Barbados", "North America", "Caribbean", "430.0", "1966.0", "270000", "73.0", "2223.0", "2186.0", "Barbados", "Constitutional Monarchy", "Elisabeth II", "174.0", "BB"], ["BOL", "Bolivia", "South America", "South America", "1098581.0", "1825.0", "8329000", "63.7", "8571.0", "7967.0", "Bolivia", "Republic", "Hugo Bánzer Suárez", "194.0", "BO"], ["GIB", "Gibraltar", "Europe", "Southern Europe", "6.0", "nan", "25000", "79.0", "258.0", "nan", "Gibraltar", "Dependent Territory of the UK", "Elisabeth II", "915.0", "GI"], ["PRT", "Portugal", "Europe", "Southern Europe", "91982.0", "1143.0", "9997600", "75.8", "105954.0", "102133.0", "Portugal", "Republic", "Jorge Sampãio", "2914.0", "PT"], ["BTN", "Bhutan", "Asia", "Southern and Central Asia", "47000.0", "1910.0", "2124000", "52.4", "372.0", "383.0", "Druk-Yul", "Monarchy", "Jigme Singye Wangchuk", "192.0", "BT"], ["MAR", "Morocco", "Africa", "Northern Africa", "446550.0", "1956.0", "28351000", "69.1", "36124.0", "33514.0", "Al-Maghrib", "Constitutional Monarchy", "Mohammed VI", "2486.0", "MA"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the names of the 3 most populated countries.	[["China"], ["India"], ["United States"]]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["LIE", "Liechtenstein", "Europe", "Western Europe", "160.0", "1806.0", "32300", "78.8", "1119.0", "1084.0", "Liechtenstein", "Constitutional Monarchy", "Hans-Adam II", "2446.0", "LI"], ["NOR", "Norway", "Europe", "Nordic Countries", "323877.0", "1905.0", "4478500", "78.7", "145895.0", "153370.0", "Norge", "Constitutional Monarchy", "Harald V", "2807.0", "NO"], ["NLD", "Netherlands", "Europe", "Western Europe", "41526.0", "1581.0", "15864000", "78.3", "371362.0", "360478.0", "Nederland", "Constitutional Monarchy", "Beatrix", "5.0", "NL"], ["PCN", "Pitcairn", "Oceania", "Polynesia", "49.0", "nan", "50", "nan", "0.0", "nan", "Pitcairn", "Dependent Territory of the UK", "Elisabeth II", "2912.0", "PN"], ["SWZ", "Swaziland", "Africa", "Southern Africa", "17364.0", "1968.0", "1008000", "40.4", "1206.0", "1312.0", "kaNgwane", "Monarchy", "Mswati III", "3244.0", "SZ"], ["SHN", "Saint Helena", "Africa", "Western Africa", "314.0", "nan", "6000", "76.8", "0.0", "nan", "Saint Helena", "Dependent Territory of the UK", "Elisabeth II", "3063.0", "SH"], ["AFG", "Afghanistan", "Asia", "Southern and Central Asia", "652090.0", "1919.0", "22720000", "45.9", "5976.0", "nan", "Afganistan/Afqanestan", "Islamic Emirate", "Mohammad Omar", "1.0", "AF"], ["SGS", "South Georgia and the South Sandwich Islands", "Antarctica", "Antarctica", "3903.0", "nan", "0", "nan", "0.0", "nan", "South Georgia and the South Sandwich Islands", "Dependent Territory of the UK", "Elisabeth II", "nan", "GS"], ["DNK", "Denmark", "Europe", "Nordic Countries", "43094.0", "800.0", "5330000", "76.5", "174099.0", "169264.0", "Danmark", "Constitutional Monarchy", "Margrethe II", "3315.0", "DK"], ["LAO", "Laos", "Asia", "Southeast Asia", "236800.0", "1953.0", "5433000", "53.1", "1292.0", "1746.0", "Lao", "Republic", "Khamtay Siphandone", "2432.0", "LA"], ["ESP", "Spain", "Europe", "Southern Europe", "505992.0", "1492.0", "39441700", "78.8", "553233.0", "532031.0", "España", "Constitutional Monarchy", "Juan Carlos I", "653.0", "ES"], ["KOR", "South Korea", "Asia", "Eastern Asia", "99434.0", "1948.0", "46844000", "74.4", "320749.0", "442544.0", "Taehan Min’guk (Namhan)", "Republic", "Kim Dae-jung", "2331.0", "KR"], ["JPN", "Japan", "Asia", "Eastern Asia", "377829.0", "-660.0", "126714000", "80.7", "3787042.0", "4192638.0", "Nihon/Nippon", "Constitutional Monarchy", "Akihito", "1532.0", "JP"], ["MAR", "Morocco", "Africa", "Northern Africa", "446550.0", "1956.0", "28351000", "69.1", "36124.0", "33514.0", "Al-Maghrib", "Constitutional Monarchy", "Mohammed VI", "2486.0", "MA"], ["YUG", "Yugoslavia", "Europe", "Southern Europe", "102173.0", "1918.0", "10640000", "72.4", "17000.0", "nan", "Jugoslavija", "Federal Republic", "Vojislav Koštunica", "1792.0", "YU"], ["ESH", "Western Sahara", "Africa", "Northern Africa", "266000.0", "nan", "293000", "49.8", "60.0", "nan", "As-Sahrawiya", "Occupied by Marocco", "Mohammed Abdel Aziz", "2453.0", "EH"], ["IRN", "Iran", "Asia", "Southern and Central Asia", "1648195.0", "1906.0", "67702000", "69.7", "195746.0", "160151.0", "Iran", "Islamic Republic", "Ali Mohammad Khatami-Ardakani", "1380.0", "IR"], ["THA", "Thailand", "Asia", "Southeast Asia", "513115.0", "1350.0", "61399000", "68.6", "116416.0", "153907.0", "Prathet Thai", "Constitutional Monarchy", "Bhumibol Adulyadej", "3320.0", "TH"], ["AUS", "Australia", "Oceania", "Australia and New Zealand", "7741220.0", "1901.0", "18886000", "79.8", "351182.0", "392911.0", "Australia", "Constitutional Monarchy, Federation", "Elisabeth II", "135.0", "AU"], ["OMN", "Oman", "Asia", "Middle East", "309500.0", "1951.0", "2542000", "71.8", "16904.0", "16153.0", "´Uman", "Monarchy (Sultanate)", "Qabus ibn Sa´id", "2821.0", "OM"], ["SMR", "San Marino", "Europe", "Southern Europe", "61.0", "885.0", "27000", "81.1", "510.0", "nan", "San Marino", "Republic", "None", "3171.0", "SM"], ["NCL", "New Caledonia", "Oceania", "Melanesia", "18575.0", "nan", "214000", "72.8", "3563.0", "nan", "Nouvelle-Calédonie", "Nonmetropolitan Territory of France", "Jacques Chirac", "3493.0", "NC"], ["MNG", "Mongolia", "Asia", "Eastern Asia", "1566500.0", "1921.0", "2662000", "67.3", "1043.0", "933.0", "Mongol Uls", "Republic", "Natsagiin Bagabandi", "2696.0", "MN"], ["ITA", "Italy", "Europe", "Southern Europe", "301316.0", "1861.0", "57680000", "79.0", "1161755.0", "1145372.0", "Italia", "Republic", "Carlo Azeglio Ciampi", "1464.0", "IT"], ["KHM", "Cambodia", "Asia", "Southeast Asia", "181035.0", "1953.0", "11168000", "56.5", "5121.0", "5670.0", "Kâmpuchéa", "Constitutional Monarchy", "Norodom Sihanouk", "1800.0", "KH"], ["TMP", "East Timor", "Asia", "Southeast Asia", "14874.0", "nan", "885000", "46.0", "0.0", "nan", "Timor Timur", "Administrated by the UN", "José Alexandre Gusmão", "1522.0", "TP"], ["HND", "Honduras", "North America", "Central America", "112088.0", "1838.0", "6485000", "69.9", "5333.0", "4697.0", "Honduras", "Republic", "Carlos Roberto Flores Facussé", "933.0", "HN"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of the nations with the 3 lowest populations?	[["Antarctica"], ["French Southern territories"], ["Bouvet Island"]]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["NOR", "Norway", "Europe", "Nordic Countries", "323877.0", "1905.0", "4478500", "78.7", "145895.0", "153370.0", "Norge", "Constitutional Monarchy", "Harald V", "2807.0", "NO"], ["CHN", "China", "Asia", "Eastern Asia", "9572900.0", "-1523.0", "1277558000", "71.4", "982268.0", "917719.0", "Zhongquo", "People'sRepublic", "Jiang Zemin", "1891.0", "CN"], ["LIE", "Liechtenstein", "Europe", "Western Europe", "160.0", "1806.0", "32300", "78.8", "1119.0", "1084.0", "Liechtenstein", "Constitutional Monarchy", "Hans-Adam II", "2446.0", "LI"], ["DNK", "Denmark", "Europe", "Nordic Countries", "43094.0", "800.0", "5330000", "76.5", "174099.0", "169264.0", "Danmark", "Constitutional Monarchy", "Margrethe II", "3315.0", "DK"], ["NLD", "Netherlands", "Europe", "Western Europe", "41526.0", "1581.0", "15864000", "78.3", "371362.0", "360478.0", "Nederland", "Constitutional Monarchy", "Beatrix", "5.0", "NL"], ["SJM", "Svalbard and Jan Mayen", "Europe", "Nordic Countries", "62422.0", "nan", "3200", "nan", "0.0", "nan", "Svalbard og Jan Mayen", "Dependent Territory of Norway", "Harald V", "938.0", "SJ"], ["ESP", "Spain", "Europe", "Southern Europe", "505992.0", "1492.0", "39441700", "78.8", "553233.0", "532031.0", "España", "Constitutional Monarchy", "Juan Carlos I", "653.0", "ES"], ["KOR", "South Korea", "Asia", "Eastern Asia", "99434.0", "1948.0", "46844000", "74.4", "320749.0", "442544.0", "Taehan Min’guk (Namhan)", "Republic", "Kim Dae-jung", "2331.0", "KR"], ["YUG", "Yugoslavia", "Europe", "Southern Europe", "102173.0", "1918.0", "10640000", "72.4", "17000.0", "nan", "Jugoslavija", "Federal Republic", "Vojislav Koštunica", "1792.0", "YU"], ["SMR", "San Marino", "Europe", "Southern Europe", "61.0", "885.0", "27000", "81.1", "510.0", "nan", "San Marino", "Republic", "None", "3171.0", "SM"], ["FIN", "Finland", "Europe", "Nordic Countries", "338145.0", "1917.0", "5171300", "77.4", "121914.0", "119833.0", "Suomi", "Republic", "Tarja Halonen", "3236.0", "FI"], ["THA", "Thailand", "Asia", "Southeast Asia", "513115.0", "1350.0", "61399000", "68.6", "116416.0", "153907.0", "Prathet Thai", "Constitutional Monarchy", "Bhumibol Adulyadej", "3320.0", "TH"], ["ITA", "Italy", "Europe", "Southern Europe", "301316.0", "1861.0", "57680000", "79.0", "1161755.0", "1145372.0", "Italia", "Republic", "Carlo Azeglio Ciampi", "1464.0", "IT"], ["PRT", "Portugal", "Europe", "Southern Europe", "91982.0", "1143.0", "9997600", "75.8", "105954.0", "102133.0", "Portugal", "Republic", "Jorge Sampãio", "2914.0", "PT"], ["BOL", "Bolivia", "South America", "South America", "1098581.0", "1825.0", "8329000", "63.7", "8571.0", "7967.0", "Bolivia", "Republic", "Hugo Bánzer Suárez", "194.0", "BO"], ["PCN", "Pitcairn", "Oceania", "Polynesia", "49.0", "nan", "50", "nan", "0.0", "nan", "Pitcairn", "Dependent Territory of the UK", "Elisabeth II", "2912.0", "PN"], ["SHN", "Saint Helena", "Africa", "Western Africa", "314.0", "nan", "6000", "76.8", "0.0", "nan", "Saint Helena", "Dependent Territory of the UK", "Elisabeth II", "3063.0", "SH"], ["FRA", "France", "Europe", "Western Europe", "551500.0", "843.0", "59225700", "78.8", "1424285.0", "1392448.0", "France", "Republic", "Jacques Chirac", "2974.0", "FR"], ["CHE", "Switzerland", "Europe", "Western Europe", "41284.0", "1499.0", "7160400", "79.6", "264478.0", "256092.0", "Schweiz/Suisse/Svizzera/Svizra", "Federation", "Adolf Ogi", "3248.0", "CH"], ["YEM", "Yemen", "Asia", "Middle East", "527968.0", "1918.0", "18112000", "59.8", "6041.0", "5729.0", "Al-Yaman", "Republic", "Ali Abdallah Salih", "1780.0", "YE"], ["BEL", "Belgium", "Europe", "Western Europe", "30518.0", "1830.0", "10239000", "77.8", "249704.0", "243948.0", "België/Belgique", "Constitutional Monarchy, Federation", "Albert II", "179.0", "BE"], ["HND", "Honduras", "North America", "Central America", "112088.0", "1838.0", "6485000", "69.9", "5333.0", "4697.0", "Honduras", "Republic", "Carlos Roberto Flores Facussé", "933.0", "HN"], ["AUS", "Australia", "Oceania", "Australia and New Zealand", "7741220.0", "1901.0", "18886000", "79.8", "351182.0", "392911.0", "Australia", "Constitutional Monarchy, Federation", "Elisabeth II", "135.0", "AU"], ["JOR", "Jordan", "Asia", "Middle East", "88946.0", "1946.0", "5083000", "77.4", "7526.0", "7051.0", "Al-Urdunn", "Constitutional Monarchy", "Abdullah II", "1786.0", "JO"], ["SWE", "Sweden", "Europe", "Nordic Countries", "449964.0", "836.0", "8861400", "79.6", "226492.0", "227757.0", "Sverige", "Constitutional Monarchy", "Carl XVI Gustaf", "3048.0", "SE"], ["BTN", "Bhutan", "Asia", "Southern and Central Asia", "47000.0", "1910.0", "2124000", "52.4", "372.0", "383.0", "Druk-Yul", "Monarchy", "Jigme Singye Wangchuk", "192.0", "BT"], ["LAO", "Laos", "Asia", "Southeast Asia", "236800.0", "1953.0", "5433000", "53.1", "1292.0", "1746.0", "Lao", "Republic", "Khamtay Siphandone", "2432.0", "LA"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the names of the 3 countries with the fewest people.	[["Antarctica"], ["French Southern territories"], ["Bouvet Island"]]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["LAO", "Laos", "Asia", "Southeast Asia", "236800.0", "1953.0", "5433000", "53.1", "1292.0", "1746.0", "Lao", "Republic", "Khamtay Siphandone", "2432.0", "LA"], ["THA", "Thailand", "Asia", "Southeast Asia", "513115.0", "1350.0", "61399000", "68.6", "116416.0", "153907.0", "Prathet Thai", "Constitutional Monarchy", "Bhumibol Adulyadej", "3320.0", "TH"], ["JPN", "Japan", "Asia", "Eastern Asia", "377829.0", "-660.0", "126714000", "80.7", "3787042.0", "4192638.0", "Nihon/Nippon", "Constitutional Monarchy", "Akihito", "1532.0", "JP"], ["IDN", "Indonesia", "Asia", "Southeast Asia", "1904569.0", "1945.0", "212107000", "68.0", "84982.0", "215002.0", "Indonesia", "Republic", "Abdurrahman Wahid", "939.0", "ID"], ["MNG", "Mongolia", "Asia", "Eastern Asia", "1566500.0", "1921.0", "2662000", "67.3", "1043.0", "933.0", "Mongol Uls", "Republic", "Natsagiin Bagabandi", "2696.0", "MN"], ["MYS", "Malaysia", "Asia", "Southeast Asia", "329758.0", "1957.0", "22244000", "70.8", "69213.0", "97884.0", "Malaysia", "Constitutional Monarchy, Federation", "Salahuddin Abdul Aziz Shah Alhaj", "2464.0", "MY"], ["CHN", "China", "Asia", "Eastern Asia", "9572900.0", "-1523.0", "1277558000", "71.4", "982268.0", "917719.0", "Zhongquo", "People'sRepublic", "Jiang Zemin", "1891.0", "CN"], ["PAK", "Pakistan", "Asia", "Southern and Central Asia", "796095.0", "1947.0", "156483000", "61.1", "61289.0", "58549.0", "Pakistan", "Republic", "Mohammad Rafiq Tarar", "2831.0", "PK"], ["KHM", "Cambodia", "Asia", "Southeast Asia", "181035.0", "1953.0", "11168000", "56.5", "5121.0", "5670.0", "Kâmpuchéa", "Constitutional Monarchy", "Norodom Sihanouk", "1800.0", "KH"], ["TKM", "Turkmenistan", "Asia", "Southern and Central Asia", "488100.0", "1991.0", "4459000", "60.9", "4397.0", "2000.0", "Türkmenostan", "Republic", "Saparmurad Nijazov", "3419.0", "TM"], ["IRN", "Iran", "Asia", "Southern and Central Asia", "1648195.0", "1906.0", "67702000", "69.7", "195746.0", "160151.0", "Iran", "Islamic Republic", "Ali Mohammad Khatami-Ardakani", "1380.0", "IR"], ["TWN", "Taiwan", "Asia", "Eastern Asia", "36188.0", "1945.0", "22256000", "76.4", "256254.0", "263451.0", "T’ai-wan", "Republic", "Chen Shui-bian", "3263.0", "TW"], ["BGD", "Bangladesh", "Asia", "Southern and Central Asia", "143998.0", "1971.0", "129155000", "60.2", "32852.0", "31966.0", "Bangladesh", "Republic", "Shahabuddin Ahmad", "150.0", "BD"], ["KOR", "South Korea", "Asia", "Eastern Asia", "99434.0", "1948.0", "46844000", "74.4", "320749.0", "442544.0", "Taehan Min’guk (Namhan)", "Republic", "Kim Dae-jung", "2331.0", "KR"], ["TUR", "Turkey", "Asia", "Middle East", "774815.0", "1923.0", "66591000", "71.0", "210721.0", "189122.0", "Türkiye", "Republic", "Ahmet Necdet Sezer", "3358.0", "TR"], ["MMR", "Myanmar", "Asia", "Southeast Asia", "676578.0", "1948.0", "45611000", "54.9", "180375.0", "171028.0", "Myanma Pye", "Republic", "kenraali Than Shwe", "2710.0", "MM"], ["LKA", "Sri Lanka", "Asia", "Southern and Central Asia", "65610.0", "1948.0", "18827000", "71.8", "15706.0", "15091.0", "Sri Lanka/Ilankai", "Republic", "Chandrika Kumaratunga", "3217.0", "LK"], ["MAC", "Macao", "Asia", "Eastern Asia", "18.0", "nan", "473000", "81.6", "5749.0", "5940.0", "Macau/Aomen", "Special Administrative Region of China", "Jiang Zemin", "2454.0", "MO"], ["MDV", "Maldives", "Asia", "Southern and Central Asia", "298.0", "1965.0", "286000", "62.2", "199.0", "nan", "Dhivehi Raajje/Maldives", "Republic", "Maumoon Abdul Gayoom", "2463.0", "MV"], ["HKG", "Hong Kong", "Asia", "Eastern Asia", "1075.0", "nan", "6782000", "79.5", "166448.0", "173610.0", "Xianggang/Hong Kong", "Special Administrative Region of China", "Jiang Zemin", "937.0", "HK"], ["SAU", "Saudi Arabia", "Asia", "Middle East", "2149690.0", "1932.0", "21607000", "67.8", "137635.0", "146171.0", "Al-´Arabiya as-Sa´udiya", "Monarchy", "Fahd ibn Abdul-Aziz al-Sa´ud", "3173.0", "SA"], ["AFG", "Afghanistan", "Asia", "Southern and Central Asia", "652090.0", "1919.0", "22720000", "45.9", "5976.0", "nan", "Afganistan/Afqanestan", "Islamic Emirate", "Mohammad Omar", "1.0", "AF"], ["BRN", "Brunei", "Asia", "Southeast Asia", "5765.0", "1984.0", "328000", "73.6", "11705.0", "12460.0", "Brunei Darussalam", "Monarchy (Sultanate)", "Haji Hassan al-Bolkiah", "538.0", "BN"], ["BTN", "Bhutan", "Asia", "Southern and Central Asia", "47000.0", "1910.0", "2124000", "52.4", "372.0", "383.0", "Druk-Yul", "Monarchy", "Jigme Singye Wangchuk", "192.0", "BT"], ["YEM", "Yemen", "Asia", "Middle East", "527968.0", "1918.0", "18112000", "59.8", "6041.0", "5729.0", "Al-Yaman", "Republic", "Ali Abdallah Salih", "1780.0", "YE"], ["UZB", "Uzbekistan", "Asia", "Southern and Central Asia", "447400.0", "1991.0", "24318000", "63.7", "14194.0", "21300.0", "Uzbekiston", "Republic", "Islam Karimov", "3503.0", "UZ"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:how many countries are in Asia?	[["51"]]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["THA", "Thailand", "Asia", "Southeast Asia", "513115.0", "1350.0", "61399000", "68.6", "116416.0", "153907.0", "Prathet Thai", "Constitutional Monarchy", "Bhumibol Adulyadej", "3320.0", "TH"], ["LAO", "Laos", "Asia", "Southeast Asia", "236800.0", "1953.0", "5433000", "53.1", "1292.0", "1746.0", "Lao", "Republic", "Khamtay Siphandone", "2432.0", "LA"], ["JPN", "Japan", "Asia", "Eastern Asia", "377829.0", "-660.0", "126714000", "80.7", "3787042.0", "4192638.0", "Nihon/Nippon", "Constitutional Monarchy", "Akihito", "1532.0", "JP"], ["MYS", "Malaysia", "Asia", "Southeast Asia", "329758.0", "1957.0", "22244000", "70.8", "69213.0", "97884.0", "Malaysia", "Constitutional Monarchy, Federation", "Salahuddin Abdul Aziz Shah Alhaj", "2464.0", "MY"], ["IDN", "Indonesia", "Asia", "Southeast Asia", "1904569.0", "1945.0", "212107000", "68.0", "84982.0", "215002.0", "Indonesia", "Republic", "Abdurrahman Wahid", "939.0", "ID"], ["CHN", "China", "Asia", "Eastern Asia", "9572900.0", "-1523.0", "1277558000", "71.4", "982268.0", "917719.0", "Zhongquo", "People'sRepublic", "Jiang Zemin", "1891.0", "CN"], ["KHM", "Cambodia", "Asia", "Southeast Asia", "181035.0", "1953.0", "11168000", "56.5", "5121.0", "5670.0", "Kâmpuchéa", "Constitutional Monarchy", "Norodom Sihanouk", "1800.0", "KH"], ["PAK", "Pakistan", "Asia", "Southern and Central Asia", "796095.0", "1947.0", "156483000", "61.1", "61289.0", "58549.0", "Pakistan", "Republic", "Mohammad Rafiq Tarar", "2831.0", "PK"], ["MNG", "Mongolia", "Asia", "Eastern Asia", "1566500.0", "1921.0", "2662000", "67.3", "1043.0", "933.0", "Mongol Uls", "Republic", "Natsagiin Bagabandi", "2696.0", "MN"], ["BGD", "Bangladesh", "Asia", "Southern and Central Asia", "143998.0", "1971.0", "129155000", "60.2", "32852.0", "31966.0", "Bangladesh", "Republic", "Shahabuddin Ahmad", "150.0", "BD"], ["TWN", "Taiwan", "Asia", "Eastern Asia", "36188.0", "1945.0", "22256000", "76.4", "256254.0", "263451.0", "T’ai-wan", "Republic", "Chen Shui-bian", "3263.0", "TW"], ["SAU", "Saudi Arabia", "Asia", "Middle East", "2149690.0", "1932.0", "21607000", "67.8", "137635.0", "146171.0", "Al-´Arabiya as-Sa´udiya", "Monarchy", "Fahd ibn Abdul-Aziz al-Sa´ud", "3173.0", "SA"], ["KOR", "South Korea", "Asia", "Eastern Asia", "99434.0", "1948.0", "46844000", "74.4", "320749.0", "442544.0", "Taehan Min’guk (Namhan)", "Republic", "Kim Dae-jung", "2331.0", "KR"], ["HKG", "Hong Kong", "Asia", "Eastern Asia", "1075.0", "nan", "6782000", "79.5", "166448.0", "173610.0", "Xianggang/Hong Kong", "Special Administrative Region of China", "Jiang Zemin", "937.0", "HK"], ["IRN", "Iran", "Asia", "Southern and Central Asia", "1648195.0", "1906.0", "67702000", "69.7", "195746.0", "160151.0", "Iran", "Islamic Republic", "Ali Mohammad Khatami-Ardakani", "1380.0", "IR"], ["TKM", "Turkmenistan", "Asia", "Southern and Central Asia", "488100.0", "1991.0", "4459000", "60.9", "4397.0", "2000.0", "Türkmenostan", "Republic", "Saparmurad Nijazov", "3419.0", "TM"], ["MMR", "Myanmar", "Asia", "Southeast Asia", "676578.0", "1948.0", "45611000", "54.9", "180375.0", "171028.0", "Myanma Pye", "Republic", "kenraali Than Shwe", "2710.0", "MM"], ["PCN", "Pitcairn", "Oceania", "Polynesia", "49.0", "nan", "50", "nan", "0.0", "nan", "Pitcairn", "Dependent Territory of the UK", "Elisabeth II", "2912.0", "PN"], ["IND", "India", "Asia", "Southern and Central Asia", "3287263.0", "1947.0", "1013662000", "62.5", "447114.0", "430572.0", "Bharat/India", "Federal Republic", "Kocheril Raman Narayanan", "1109.0", "IN"], ["OMN", "Oman", "Asia", "Middle East", "309500.0", "1951.0", "2542000", "71.8", "16904.0", "16153.0", "´Uman", "Monarchy (Sultanate)", "Qabus ibn Sa´id", "2821.0", "OM"], ["YEM", "Yemen", "Asia", "Middle East", "527968.0", "1918.0", "18112000", "59.8", "6041.0", "5729.0", "Al-Yaman", "Republic", "Ali Abdallah Salih", "1780.0", "YE"], ["AUS", "Australia", "Oceania", "Australia and New Zealand", "7741220.0", "1901.0", "18886000", "79.8", "351182.0", "392911.0", "Australia", "Constitutional Monarchy, Federation", "Elisabeth II", "135.0", "AU"], ["BRN", "Brunei", "Asia", "Southeast Asia", "5765.0", "1984.0", "328000", "73.6", "11705.0", "12460.0", "Brunei Darussalam", "Monarchy (Sultanate)", "Haji Hassan al-Bolkiah", "538.0", "BN"], ["BTN", "Bhutan", "Asia", "Southern and Central Asia", "47000.0", "1910.0", "2124000", "52.4", "372.0", "383.0", "Druk-Yul", "Monarchy", "Jigme Singye Wangchuk", "192.0", "BT"], ["LKA", "Sri Lanka", "Asia", "Southern and Central Asia", "65610.0", "1948.0", "18827000", "71.8", "15706.0", "15091.0", "Sri Lanka/Ilankai", "Republic", "Chandrika Kumaratunga", "3217.0", "LK"], ["MAC", "Macao", "Asia", "Eastern Asia", "18.0", "nan", "473000", "81.6", "5749.0", "5940.0", "Macau/Aomen", "Special Administrative Region of China", "Jiang Zemin", "2454.0", "MO"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Count the number of countries in Asia.	[["51"]]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["ITA", "Italy", "Europe", "Southern Europe", "301316.0", "1861.0", "57680000", "79.0", "1161755.0", "1145372.0", "Italia", "Republic", "Carlo Azeglio Ciampi", "1464.0", "IT"], ["PRT", "Portugal", "Europe", "Southern Europe", "91982.0", "1143.0", "9997600", "75.8", "105954.0", "102133.0", "Portugal", "Republic", "Jorge Sampãio", "2914.0", "PT"], ["GRC", "Greece", "Europe", "Southern Europe", "131626.0", "1830.0", "10545700", "78.4", "120724.0", "119946.0", "Elláda", "Republic", "Kostis Stefanopoulos", "2401.0", "GR"], ["ESP", "Spain", "Europe", "Southern Europe", "505992.0", "1492.0", "39441700", "78.8", "553233.0", "532031.0", "España", "Constitutional Monarchy", "Juan Carlos I", "653.0", "ES"], ["FRA", "France", "Europe", "Western Europe", "551500.0", "843.0", "59225700", "78.8", "1424285.0", "1392448.0", "France", "Republic", "Jacques Chirac", "2974.0", "FR"], ["ALB", "Albania", "Europe", "Southern Europe", "28748.0", "1912.0", "3401200", "71.6", "3205.0", "2500.0", "Shqipëria", "Republic", "Rexhep Mejdani", "34.0", "AL"], ["ROM", "Romania", "Europe", "Eastern Europe", "238391.0", "1878.0", "22455500", "69.9", "38158.0", "34843.0", "România", "Republic", "Ion Iliescu", "3018.0", "RO"], ["FRO", "Faroe Islands", "Europe", "Nordic Countries", "1399.0", "nan", "43000", "78.4", "0.0", "nan", "Føroyar", "Part of Denmark", "Margrethe II", "901.0", "FO"], ["EST", "Estonia", "Europe", "Baltic Countries", "45227.0", "1991.0", "1439200", "69.5", "5328.0", "3371.0", "Eesti", "Republic", "Lennart Meri", "3791.0", "EE"], ["CHE", "Switzerland", "Europe", "Western Europe", "41284.0", "1499.0", "7160400", "79.6", "264478.0", "256092.0", "Schweiz/Suisse/Svizzera/Svizra", "Federation", "Adolf Ogi", "3248.0", "CH"], ["LIE", "Liechtenstein", "Europe", "Western Europe", "160.0", "1806.0", "32300", "78.8", "1119.0", "1084.0", "Liechtenstein", "Constitutional Monarchy", "Hans-Adam II", "2446.0", "LI"], ["AND", "Andorra", "Europe", "Southern Europe", "468.0", "1278.0", "78000", "83.5", "1630.0", "nan", "Andorra", "Parliamentary Coprincipality", "", "55.0", "AD"], ["ISL", "Iceland", "Europe", "Nordic Countries", "103000.0", "1944.0", "279000", "79.4", "8255.0", "7474.0", "Ísland", "Republic", "Ólafur Ragnar Grímsson", "1449.0", "IS"], ["AUT", "Austria", "Europe", "Western Europe", "83859.0", "1918.0", "8091800", "77.7", "211860.0", "206025.0", "Österreich", "Federal Republic", "Thomas Klestil", "1523.0", "AT"], ["BEL", "Belgium", "Europe", "Western Europe", "30518.0", "1830.0", "10239000", "77.8", "249704.0", "243948.0", "België/Belgique", "Constitutional Monarchy, Federation", "Albert II", "179.0", "BE"], ["SWE", "Sweden", "Europe", "Nordic Countries", "449964.0", "836.0", "8861400", "79.6", "226492.0", "227757.0", "Sverige", "Constitutional Monarchy", "Carl XVI Gustaf", "3048.0", "SE"], ["DNK", "Denmark", "Europe", "Nordic Countries", "43094.0", "800.0", "5330000", "76.5", "174099.0", "169264.0", "Danmark", "Constitutional Monarchy", "Margrethe II", "3315.0", "DK"], ["HRV", "Croatia", "Europe", "Southern Europe", "56538.0", "1991.0", "4473000", "73.7", "20208.0", "19300.0", "Hrvatska", "Republic", "Štipe Mesic", "2409.0", "HR"], ["POL", "Poland", "Europe", "Eastern Europe", "323250.0", "1918.0", "38653600", "73.2", "151697.0", "135636.0", "Polska", "Republic", "Aleksander Kwasniewski", "2928.0", "PL"], ["NOR", "Norway", "Europe", "Nordic Countries", "323877.0", "1905.0", "4478500", "78.7", "145895.0", "153370.0", "Norge", "Constitutional Monarchy", "Harald V", "2807.0", "NO"], ["NLD", "Netherlands", "Europe", "Western Europe", "41526.0", "1581.0", "15864000", "78.3", "371362.0", "360478.0", "Nederland", "Constitutional Monarchy", "Beatrix", "5.0", "NL"], ["GBR", "United Kingdom", "Europe", "British Islands", "242900.0", "1066.0", "59623400", "77.7", "1378330.0", "1296830.0", "United Kingdom", "Constitutional Monarchy", "Elisabeth II", "456.0", "GB"], ["SMR", "San Marino", "Europe", "Southern Europe", "61.0", "885.0", "27000", "81.1", "510.0", "nan", "San Marino", "Republic", "None", "3171.0", "SM"], ["SVN", "Slovenia", "Europe", "Southern Europe", "20256.0", "1991.0", "1987800", "74.9", "19756.0", "18202.0", "Slovenija", "Republic", "Milan Kucan", "3212.0", "SI"], ["IRL", "Ireland", "Europe", "British Islands", "70273.0", "1921.0", "3775100", "76.8", "75921.0", "73132.0", "Ireland/Éire", "Republic", "Mary McAleese", "1447.0", "IE"], ["BGR", "Bulgaria", "Europe", "Eastern Europe", "110994.0", "1908.0", "8190900", "70.9", "12178.0", "10169.0", "Balgarija", "Republic", "Petar Stojanov", "539.0", "BG"], ["ERI", "Eritrea", "Africa", "Eastern Africa", "117600.0", "1993.0", "3850000", "55.8", "650.0", "755.0", "Ertra", "Republic", "Isayas Afewerki [Isaias Afwerki]", "652.0", "ER"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of the countries that are in the continent of Europe and have a population of 80000?	[]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["ESP", "Spain", "Europe", "Southern Europe", "505992.0", "1492.0", "39441700", "78.8", "553233.0", "532031.0", "España", "Constitutional Monarchy", "Juan Carlos I", "653.0", "ES"], ["PRT", "Portugal", "Europe", "Southern Europe", "91982.0", "1143.0", "9997600", "75.8", "105954.0", "102133.0", "Portugal", "Republic", "Jorge Sampãio", "2914.0", "PT"], ["FRA", "France", "Europe", "Western Europe", "551500.0", "843.0", "59225700", "78.8", "1424285.0", "1392448.0", "France", "Republic", "Jacques Chirac", "2974.0", "FR"], ["ITA", "Italy", "Europe", "Southern Europe", "301316.0", "1861.0", "57680000", "79.0", "1161755.0", "1145372.0", "Italia", "Republic", "Carlo Azeglio Ciampi", "1464.0", "IT"], ["BEL", "Belgium", "Europe", "Western Europe", "30518.0", "1830.0", "10239000", "77.8", "249704.0", "243948.0", "België/Belgique", "Constitutional Monarchy, Federation", "Albert II", "179.0", "BE"], ["DNK", "Denmark", "Europe", "Nordic Countries", "43094.0", "800.0", "5330000", "76.5", "174099.0", "169264.0", "Danmark", "Constitutional Monarchy", "Margrethe II", "3315.0", "DK"], ["SWE", "Sweden", "Europe", "Nordic Countries", "449964.0", "836.0", "8861400", "79.6", "226492.0", "227757.0", "Sverige", "Constitutional Monarchy", "Carl XVI Gustaf", "3048.0", "SE"], ["ALB", "Albania", "Europe", "Southern Europe", "28748.0", "1912.0", "3401200", "71.6", "3205.0", "2500.0", "Shqipëria", "Republic", "Rexhep Mejdani", "34.0", "AL"], ["AUT", "Austria", "Europe", "Western Europe", "83859.0", "1918.0", "8091800", "77.7", "211860.0", "206025.0", "Österreich", "Federal Republic", "Thomas Klestil", "1523.0", "AT"], ["EST", "Estonia", "Europe", "Baltic Countries", "45227.0", "1991.0", "1439200", "69.5", "5328.0", "3371.0", "Eesti", "Republic", "Lennart Meri", "3791.0", "EE"], ["GRC", "Greece", "Europe", "Southern Europe", "131626.0", "1830.0", "10545700", "78.4", "120724.0", "119946.0", "Elláda", "Republic", "Kostis Stefanopoulos", "2401.0", "GR"], ["ROM", "Romania", "Europe", "Eastern Europe", "238391.0", "1878.0", "22455500", "69.9", "38158.0", "34843.0", "România", "Republic", "Ion Iliescu", "3018.0", "RO"], ["NLD", "Netherlands", "Europe", "Western Europe", "41526.0", "1581.0", "15864000", "78.3", "371362.0", "360478.0", "Nederland", "Constitutional Monarchy", "Beatrix", "5.0", "NL"], ["BGR", "Bulgaria", "Europe", "Eastern Europe", "110994.0", "1908.0", "8190900", "70.9", "12178.0", "10169.0", "Balgarija", "Republic", "Petar Stojanov", "539.0", "BG"], ["POL", "Poland", "Europe", "Eastern Europe", "323250.0", "1918.0", "38653600", "73.2", "151697.0", "135636.0", "Polska", "Republic", "Aleksander Kwasniewski", "2928.0", "PL"], ["LIE", "Liechtenstein", "Europe", "Western Europe", "160.0", "1806.0", "32300", "78.8", "1119.0", "1084.0", "Liechtenstein", "Constitutional Monarchy", "Hans-Adam II", "2446.0", "LI"], ["NOR", "Norway", "Europe", "Nordic Countries", "323877.0", "1905.0", "4478500", "78.7", "145895.0", "153370.0", "Norge", "Constitutional Monarchy", "Harald V", "2807.0", "NO"], ["HRV", "Croatia", "Europe", "Southern Europe", "56538.0", "1991.0", "4473000", "73.7", "20208.0", "19300.0", "Hrvatska", "Republic", "Štipe Mesic", "2409.0", "HR"], ["UKR", "Ukraine", "Europe", "Eastern Europe", "603700.0", "1991.0", "50456000", "66.0", "42168.0", "49677.0", "Ukrajina", "Republic", "Leonid Kutšma", "3426.0", "UA"], ["DEU", "Germany", "Europe", "Western Europe", "357022.0", "1955.0", "82164700", "77.4", "2133367.0", "2102826.0", "Deutschland", "Federal Republic", "Johannes Rau", "3068.0", "DE"], ["CHN", "China", "Asia", "Eastern Asia", "9572900.0", "-1523.0", "1277558000", "71.4", "982268.0", "917719.0", "Zhongquo", "People'sRepublic", "Jiang Zemin", "1891.0", "CN"], ["CHE", "Switzerland", "Europe", "Western Europe", "41284.0", "1499.0", "7160400", "79.6", "264478.0", "256092.0", "Schweiz/Suisse/Svizzera/Svizra", "Federation", "Adolf Ogi", "3248.0", "CH"], ["IRL", "Ireland", "Europe", "British Islands", "70273.0", "1921.0", "3775100", "76.8", "75921.0", "73132.0", "Ireland/Éire", "Republic", "Mary McAleese", "1447.0", "IE"], ["FIN", "Finland", "Europe", "Nordic Countries", "338145.0", "1917.0", "5171300", "77.4", "121914.0", "119833.0", "Suomi", "Republic", "Tarja Halonen", "3236.0", "FI"], ["GBR", "United Kingdom", "Europe", "British Islands", "242900.0", "1066.0", "59623400", "77.7", "1378330.0", "1296830.0", "United Kingdom", "Constitutional Monarchy", "Elisabeth II", "456.0", "GB"], ["AND", "Andorra", "Europe", "Southern Europe", "468.0", "1278.0", "78000", "83.5", "1630.0", "nan", "Andorra", "Parliamentary Coprincipality", "", "55.0", "AD"], ["LTU", "Lithuania", "Europe", "Baltic Countries", "65301.0", "1991.0", "3698500", "69.1", "10692.0", "9585.0", "Lietuva", "Republic", "Valdas Adamkus", "2447.0", "LT"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Give the names of countries that are in Europe and have a population equal to 80000.	[]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["ABW", "Aruba", "North America", "Caribbean", "193.0", "nan", "103000", "78.4", "828.0", "793.0", "Aruba", "Nonmetropolitan Territory of The Netherlands", "Beatrix", "129.0", "AW"], ["CAN", "Canada", "North America", "North America", "9970610.0", "1867.0", "31147000", "79.4", "598862.0", "625626.0", "Canada", "Constitutional Monarchy, Federation", "Elisabeth II", "1822.0", "CA"], ["ANT", "Netherlands Antilles", "North America", "Caribbean", "800.0", "nan", "217000", "74.7", "1941.0", "nan", "Nederlandse Antillen", "Nonmetropolitan Territory of The Netherlands", "Beatrix", "33.0", "AN"], ["HND", "Honduras", "North America", "Central America", "112088.0", "1838.0", "6485000", "69.9", "5333.0", "4697.0", "Honduras", "Republic", "Carlos Roberto Flores Facussé", "933.0", "HN"], ["KNA", "Saint Kitts and Nevis", "North America", "Caribbean", "261.0", "1983.0", "38000", "70.7", "299.0", "nan", "Saint Kitts and Nevis", "Constitutional Monarchy", "Elisabeth II", "3064.0", "KN"], ["COL", "Colombia", "South America", "South America", "1138914.0", "1810.0", "42321000", "70.3", "102896.0", "105116.0", "Colombia", "Republic", "Andrés Pastrana Arango", "2257.0", "CO"], ["GRL", "Greenland", "North America", "North America", "2166090.0", "nan", "56000", "68.1", "0.0", "nan", "Kalaallit Nunaat/Grønland", "Part of Denmark", "Margrethe II", "917.0", "GL"], ["ARG", "Argentina", "South America", "South America", "2780400.0", "1816.0", "37032000", "75.1", "340238.0", "323310.0", "Argentina", "Federal Republic", "Fernando de la Rúa", "69.0", "AR"], ["BHS", "Bahamas", "North America", "Caribbean", "13878.0", "1973.0", "307000", "71.1", "3527.0", "3347.0", "The Bahamas", "Constitutional Monarchy", "Elisabeth II", "148.0", "BS"], ["PAN", "Panama", "North America", "Central America", "75517.0", "1903.0", "2856000", "75.5", "9131.0", "8700.0", "Panamá", "Republic", "Mireya Elisa Moscoso Rodríguez", "2882.0", "PA"], ["BRB", "Barbados", "North America", "Caribbean", "430.0", "1966.0", "270000", "73.0", "2223.0", "2186.0", "Barbados", "Constitutional Monarchy", "Elisabeth II", "174.0", "BB"], ["NCL", "New Caledonia", "Oceania", "Melanesia", "18575.0", "nan", "214000", "72.8", "3563.0", "nan", "Nouvelle-Calédonie", "Nonmetropolitan Territory of France", "Jacques Chirac", "3493.0", "NC"], ["TCA", "Turks and Caicos Islands", "North America", "Caribbean", "430.0", "nan", "17000", "73.3", "96.0", "nan", "The Turks and Caicos Islands", "Dependent Territory of the UK", "Elisabeth II", "3423.0", "TC"], ["SLV", "El Salvador", "North America", "Central America", "21041.0", "1841.0", "6276000", "69.7", "11863.0", "11203.0", "El Salvador", "Republic", "Francisco Guillermo Flores Pérez", "645.0", "SV"], ["BRA", "Brazil", "South America", "South America", "8547403.0", "1822.0", "170115000", "62.9", "776739.0", "804108.0", "Brasil", "Federal Republic", "Fernando Henrique Cardoso", "211.0", "BR"], ["AUS", "Australia", "Oceania", "Australia and New Zealand", "7741220.0", "1901.0", "18886000", "79.8", "351182.0", "392911.0", "Australia", "Constitutional Monarchy, Federation", "Elisabeth II", "135.0", "AU"], ["USA", "United States", "North America", "North America", "9363520.0", "1776.0", "278357000", "77.1", "8510700.0", "8110900.0", "United States", "Federal Republic", "George W. Bush", "3813.0", "US"], ["BOL", "Bolivia", "South America", "South America", "1098581.0", "1825.0", "8329000", "63.7", "8571.0", "7967.0", "Bolivia", "Republic", "Hugo Bánzer Suárez", "194.0", "BO"], ["BMU", "Bermuda", "North America", "North America", "53.0", "nan", "65000", "76.9", "2328.0", "2190.0", "Bermuda", "Dependent Territory of the UK", "Elisabeth II", "191.0", "BM"], ["BLZ", "Belize", "North America", "Central America", "22696.0", "1981.0", "241000", "70.9", "630.0", "616.0", "Belize", "Constitutional Monarchy", "Elisabeth II", "185.0", "BZ"], ["MEX", "Mexico", "North America", "Central America", "1958201.0", "1810.0", "98881000", "71.5", "414972.0", "401461.0", "México", "Federal Republic", "Vicente Fox Quesada", "2515.0", "MX"], ["ATF", "French Southern territories", "Antarctica", "Antarctica", "7780.0", "nan", "0", "nan", "0.0", "nan", "Terres australes françaises", "Nonmetropolitan Territory of France", "Jacques Chirac", "nan", "TF"], ["LIE", "Liechtenstein", "Europe", "Western Europe", "160.0", "1806.0", "32300", "78.8", "1119.0", "1084.0", "Liechtenstein", "Constitutional Monarchy", "Hans-Adam II", "2446.0", "LI"], ["PYF", "French Polynesia", "Oceania", "Polynesia", "4000.0", "nan", "235000", "74.8", "818.0", "781.0", "Polynésie française", "Nonmetropolitan Territory of France", "Jacques Chirac", "3016.0", "PF"], ["HTI", "Haiti", "North America", "Caribbean", "27750.0", "1804.0", "8222000", "49.2", "3459.0", "3107.0", "Haïti/Dayti", "Republic", "Jean-Bertrand Aristide", "929.0", "HT"], ["ATG", "Antigua and Barbuda", "North America", "Caribbean", "442.0", "1981.0", "68000", "70.5", "612.0", "584.0", "Antigua and Barbuda", "Constitutional Monarchy", "Elisabeth II", "63.0", "AG"], ["DNK", "Denmark", "Europe", "Nordic Countries", "43094.0", "800.0", "5330000", "76.5", "174099.0", "169264.0", "Danmark", "Constitutional Monarchy", "Margrethe II", "3315.0", "DK"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What is the total population and average area of countries in the continent of North America whose area is bigger than 3000 ?	[["None", "None"]]	2,048	Answer:
Table country: [["Code", "Name", "Continent", "Region", "SurfaceArea", "IndepYear", "Population", "LifeExpectancy", "GNP", "GNPOld", "LocalName", "GovernmentForm", "HeadOfState", "Capital", "Code2"], ["HND", "Honduras", "North America", "Central America", "112088.0", "1838.0", "6485000", "69.9", "5333.0", "4697.0", "Honduras", "Republic", "Carlos Roberto Flores Facussé", "933.0", "HN"], ["ABW", "Aruba", "North America", "Caribbean", "193.0", "nan", "103000", "78.4", "828.0", "793.0", "Aruba", "Nonmetropolitan Territory of The Netherlands", "Beatrix", "129.0", "AW"], ["SLV", "El Salvador", "North America", "Central America", "21041.0", "1841.0", "6276000", "69.7", "11863.0", "11203.0", "El Salvador", "Republic", "Francisco Guillermo Flores Pérez", "645.0", "SV"], ["PAN", "Panama", "North America", "Central America", "75517.0", "1903.0", "2856000", "75.5", "9131.0", "8700.0", "Panamá", "Republic", "Mireya Elisa Moscoso Rodríguez", "2882.0", "PA"], ["CAN", "Canada", "North America", "North America", "9970610.0", "1867.0", "31147000", "79.4", "598862.0", "625626.0", "Canada", "Constitutional Monarchy, Federation", "Elisabeth II", "1822.0", "CA"], ["ARG", "Argentina", "South America", "South America", "2780400.0", "1816.0", "37032000", "75.1", "340238.0", "323310.0", "Argentina", "Federal Republic", "Fernando de la Rúa", "69.0", "AR"], ["BOL", "Bolivia", "South America", "South America", "1098581.0", "1825.0", "8329000", "63.7", "8571.0", "7967.0", "Bolivia", "Republic", "Hugo Bánzer Suárez", "194.0", "BO"], ["COL", "Colombia", "South America", "South America", "1138914.0", "1810.0", "42321000", "70.3", "102896.0", "105116.0", "Colombia", "Republic", "Andrés Pastrana Arango", "2257.0", "CO"], ["BHS", "Bahamas", "North America", "Caribbean", "13878.0", "1973.0", "307000", "71.1", "3527.0", "3347.0", "The Bahamas", "Constitutional Monarchy", "Elisabeth II", "148.0", "BS"], ["BRB", "Barbados", "North America", "Caribbean", "430.0", "1966.0", "270000", "73.0", "2223.0", "2186.0", "Barbados", "Constitutional Monarchy", "Elisabeth II", "174.0", "BB"], ["GRL", "Greenland", "North America", "North America", "2166090.0", "nan", "56000", "68.1", "0.0", "nan", "Kalaallit Nunaat/Grønland", "Part of Denmark", "Margrethe II", "917.0", "GL"], ["USA", "United States", "North America", "North America", "9363520.0", "1776.0", "278357000", "77.1", "8510700.0", "8110900.0", "United States", "Federal Republic", "George W. Bush", "3813.0", "US"], ["KNA", "Saint Kitts and Nevis", "North America", "Caribbean", "261.0", "1983.0", "38000", "70.7", "299.0", "nan", "Saint Kitts and Nevis", "Constitutional Monarchy", "Elisabeth II", "3064.0", "KN"], ["BRA", "Brazil", "South America", "South America", "8547403.0", "1822.0", "170115000", "62.9", "776739.0", "804108.0", "Brasil", "Federal Republic", "Fernando Henrique Cardoso", "211.0", "BR"], ["BLZ", "Belize", "North America", "Central America", "22696.0", "1981.0", "241000", "70.9", "630.0", "616.0", "Belize", "Constitutional Monarchy", "Elisabeth II", "185.0", "BZ"], ["MEX", "Mexico", "North America", "Central America", "1958201.0", "1810.0", "98881000", "71.5", "414972.0", "401461.0", "México", "Federal Republic", "Vicente Fox Quesada", "2515.0", "MX"], ["ANT", "Netherlands Antilles", "North America", "Caribbean", "800.0", "nan", "217000", "74.7", "1941.0", "nan", "Nederlandse Antillen", "Nonmetropolitan Territory of The Netherlands", "Beatrix", "33.0", "AN"], ["NIC", "Nicaragua", "North America", "Central America", "130000.0", "1838.0", "5074000", "68.7", "1988.0", "2023.0", "Nicaragua", "Republic", "Arnoldo Alemán Lacayo", "2734.0", "NI"], ["GTM", "Guatemala", "North America", "Central America", "108889.0", "1821.0", "11385000", "66.2", "19008.0", "17797.0", "Guatemala", "Republic", "Alfonso Portillo Cabrera", "922.0", "GT"], ["TCA", "Turks and Caicos Islands", "North America", "Caribbean", "430.0", "nan", "17000", "73.3", "96.0", "nan", "The Turks and Caicos Islands", "Dependent Territory of the UK", "Elisabeth II", "3423.0", "TC"], ["BMU", "Bermuda", "North America", "North America", "53.0", "nan", "65000", "76.9", "2328.0", "2190.0", "Bermuda", "Dependent Territory of the UK", "Elisabeth II", "191.0", "BM"], ["CRI", "Costa Rica", "North America", "Central America", "51100.0", "1821.0", "4023000", "75.8", "10226.0", "9757.0", "Costa Rica", "Republic", "Miguel Ángel Rodríguez Echeverría", "584.0", "CR"], ["GHA", "Ghana", "Africa", "Western Africa", "238533.0", "1957.0", "20212000", "57.4", "7137.0", "6884.0", "Ghana", "Republic", "John Kufuor", "910.0", "GH"], ["TZA", "Tanzania", "Africa", "Eastern Africa", "883749.0", "1961.0", "33517000", "52.3", "8005.0", "7388.0", "Tanzania", "Republic", "Benjamin William Mkapa", "3306.0", "TZ"], ["NLD", "Netherlands", "Europe", "Western Europe", "41526.0", "1581.0", "15864000", "78.3", "371362.0", "360478.0", "Nederland", "Constitutional Monarchy", "Beatrix", "5.0", "NL"], ["CUB", "Cuba", "North America", "Caribbean", "110861.0", "1902.0", "11201000", "76.2", "17843.0", "18862.0", "Cuba", "Socialistic Republic", "Fidel Castro Ruz", "2413.0", "CU"], ["HTI", "Haiti", "North America", "Caribbean", "27750.0", "1804.0", "8222000", "49.2", "3459.0", "3107.0", "Haïti/Dayti", "Republic", "Jean-Bertrand Aristide", "929.0", "HT"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Give the total population and average surface area corresponding to countries in North America that have a surface area greater than 3000 .	[["None", "None"]]	2,048	Answer:
Table city: [["ID", "Name", "CountryCode", "District", "Population"], ["167", "Jamalpur", "BGD", "Dhaka", "103556"], ["158", "Tungi", "BGD", "Dhaka", "168702"], ["435", "Parnamirim", "BRA", "Rio Grande do Norte", "96210"], ["166", "Tangail", "BGD", "Dhaka", "106004"], ["3109", "Mainz", "DEU", "Rheinland-Pfalz", "183134"], ["1580", "Takatsuki", "JPN", "Osaka", "361747"], ["349", "Itapevi", "BRA", "São Paulo", "150664"], ["1520", "Cesena", "ITA", "Emilia-Romagna", "89852"], ["3380", "Sultanbeyli", "TUR", "Istanbul", "211068"], ["150", "Dhaka", "BGD", "Dhaka", "3612850"], ["3132", "Pforzheim", "DEU", "Baden-Württemberg", "117227"], ["330", "Santa Bárbara d´Oeste", "BRA", "São Paulo", "171657"], ["3119", "Heidelberg", "DEU", "Baden-Württemberg", "139672"], ["267", "Jundíaí", "BRA", "São Paulo", "296127"], ["3357", "Istanbul", "TUR", "Istanbul", "8787958"], ["421", "Pouso Alegre", "BRA", "Minas Gerais", "100028"], ["3445", "Gorlivka", "UKR", "Donetsk", "299000"], ["171", "Narsinghdi", "BGD", "Dhaka", "98342"], ["1050", "Allahabad", "IND", "Uttar Pradesh", "792858"], ["3050", "Malmö", "SWE", "Skåne län", "259579"], ["3573", "Ciudad Ojeda", "VEN", "Zulia", "99354"], ["274", "Florianópolis", "BRA", "Santa Catarina", "281928"], ["3134", "Ulm", "DEU", "Baden-Württemberg", "116103"], ["3758", "Bugulma", "RUS", "Tatarstan", "94100"], ["342", "Rio Claro", "BRA", "São Paulo", "163551"], ["348", "Nilópolis", "BRA", "Rio de Janeiro", "153383"], ["3371", "Malatya", "TUR", "Malatya", "330312"], ["3151", "Trier", "DEU", "Rheinland-Pfalz", "99891"], ["3462", "Berdjansk", "UKR", "Zaporizzja", "130000"], ["882", "Malita", "PHL", "Southern Mindanao", "100000"], ["3139", "Reutlingen", "DEU", "Baden-Württemberg", "110343"], ["3759", "Zeleznogorsk", "RUS", "Krasnojarsk", "94000"], ["173", "Gazipur", "BGD", "Dhaka", "96717"], ["269", "Franca", "BRA", "São Paulo", "290139"], ["154", "Narayanganj", "BGD", "Dhaka", "202134"], ["410", "Barretos", "BRA", "São Paulo", "104156"], ["439", "Tatuí", "BRA", "São Paulo", "93897"], ["2990", "Angers", "FRA", "Pays de la Loire", "151279"], ["411", "Guaratinguetá", "BRA", "São Paulo", "103433"], ["396", "Jaú", "BRA", "São Paulo", "109965"], ["1524", "Graz", "AUT", "Steiermark", "240967"], ["156", "Mymensingh", "BGD", "Dhaka", "188713"], ["160", "Comilla", "BGD", "Chittagong", "135313"], ["3247", "Basel", "CHE", "Basel-Stadt", "166700"], ["380", "Pindamonhangaba", "BRA", "São Paulo", "121904"], ["3358", "Ankara", "TUR", "Ankara", "3038159"], ["3479", "Šostka", "UKR", "Sumy", "90000"], ["1170", "Shimoga", "IND", "Karnataka", "179258"], ["3480", "Uman", "UKR", "Tšerkasy", "90000"], ["2996", "Aix-en-Provence", "FRA", "Provence-Alpes-Côte", "134222"], ["3699", "Almetjevsk", "RUS", "Tatarstan", "140700"], ["1449", "Reykjavík", "ISL", "Höfuðborgarsvæði", "109184"], ["3700", "Novomoskovsk", "RUS", "Tula", "138100"], ["3101", "Oberhausen", "DEU", "Nordrhein-Westfalen", "222349"], ["2028", "Tongliao", "CHN", "Inner Mongolia", "255129"], ["305", "Barueri", "BRA", "São Paulo", "208426"], ["313", "Suzano", "BRA", "São Paulo", "195434"], ["1180", "Burhanpur", "IND", "Madhya Pradesh", "172710"], ["209", "Belo Horizonte", "BRA", "Minas Gerais", "2139125"], ["34", "Tirana", "ALB", "Tirana", "270000"], ["233", "Contagem", "BRA", "Minas Gerais", "520801"], ["1110", "Jhansi", "IND", "Uttar Pradesh", "300850"], ["2993", "Le Mans", "FRA", "Pays de la Loire", "146105"], ["214", "Porto Alegre", "BRA", "Rio Grande do Sul", "1314032"], ["3092", "Mönchengladbach", "DEU", "Nordrhein-Westfalen", "263697"], ["1094", "Saharanpur", "IND", "Uttar Pradesh", "374945"], ["3969", "Sterling Heights", "USA", "Michigan", "124471"], ["906", "Kutaisi", "GEO", "Imereti", "240900"], ["2498", "Khouribga", "MAR", "Chaouia-Ouardigha", "152090"], ["2719", "Mergui (Myeik)", "MMR", "Tenasserim [Tanintha", "122700"], ["3128", "Wolfsburg", "DEU", "Niedersachsen", "121954"], ["3754", "Balašov", "RUS", "Saratov", "97100"], ["2092", "Hailar", "CHN", "Inner Mongolia", "180650"], ["891", "Baybay", "PHL", "Eastern Visayas", "95630"], ["2677", "Santiago Ixcuintla", "MEX", "Nayarit", "95311"], ["2471", "Kota Bharu", "MYS", "Kelantan", "219582"], ["3120", "Darmstadt", "DEU", "Hessen", "137776"], ["3752", "Bataisk", "RUS", "Rostov-na-Donu", "97300"], ["3123", "Würzburg", "DEU", "Baijeri", "127350"], ["3750", "Tobolsk", "RUS", "Tjumen", "97600"], ["3429", "Donetsk", "UKR", "Donetsk", "1050000"], ["892", "Capas", "PHL", "Central Luzon", "95219"], ["3048", "Stockholm", "SWE", "Lisboa", "750348"], ["3089", "Karlsruhe", "DEU", "Baden-Württemberg", "277204"], ["412", "Cachoeirinha", "BRA", "Rio Grande do Sul", "103240"], ["3116", "Leverkusen", "DEU", "Nordrhein-Westfalen", "160841"], ["909", "Sohumi", "GEO", "Abhasia [Aphazeti]", "111700"], ["990", "Waru", "IDN", "East Java", "124300"], ["13", "Apeldoorn", "NLD", "Gelderland", "153491"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the cities whose population is between 160000 and 900000?	[["Qandahar"], ["Herat"], ["Amsterdam"], ["Rotterdam"], ["Haag"], ["Utrecht"], ["Eindhoven"], ["Tilburg"], ["Groningen"], ["Breda"], ["Tirana"], ["Oran"], ["Constantine"], ["Annaba"], ["Batna"], ["S\u00e9tif"], ["Huambo"], ["Dubai"], ["Abu Dhabi"], ["Sharja"], ["al-Ayn"], ["Lomas de Zamora"], ["Quilmes"], ["Almirante Brown"], ["La Plata"], ["Mar del Plata"], ["San Miguel de Tucum\u00e1n"], ["Lan\u00fas"], ["Merlo"], ["General San Mart\u00edn"], ["Salta"], ["Moreno"], ["Santa F\u00e9"], ["Avellaneda"], ["Tres de Febrero"], ["Mor\u00f3n"], ["Florencio Varela"], ["San Isidro"], ["Tigre"], ["Malvinas Argentinas"], ["Vicente L\u00f3pez"], ["Berazategui"], ["Corrientes"], ["San Miguel"], ["Bah\u00eda Blanca"], ["Esteban Echeverr\u00eda"], ["Resistencia"], ["Jos\u00e9 C. Paz"], ["Paran\u00e1"], ["Godoy Cruz"], ["Posadas"], ["Guaymall\u00e9n"], ["Santiago del Estero"], ["San Salvador de Jujuy"], ["Hurlingham"], ["Neuqu\u00e9n"], ["Gjumri"], ["Vanadzor"], ["Canberra"], ["Gold Coast"], ["Newcastle"], ["Central Coast"], ["Wollongong"], ["G\u00e4nc\u00e4"], ["Sumqayit"], ["Nassau"], ["Khulna"], ["Rajshahi"], ["Narayanganj"], ["Rangpur"], ["Mymensingh"], ["Barisal"], ["Tungi"], ["Antwerpen"], ["Gent"], ["Charleroi"], ["Li\u00e8ge"], ["Cotonou"], ["Porto-Novo"], ["La Paz"], ["El Alto"], ["Cochabamba"], ["Oruro"], ["Sucre"], ["Sarajevo"], ["Gaborone"], ["S\u00e3o Gon\u00e7alo"], ["Nova Igua\u00e7u"], ["S\u00e3o Lu\u00eds"], ["Macei\u00f3"], ["Duque de Caxias"], ["S\u00e3o Bernardo do Campo"], ["Teresina"], ["Natal"], ["Osasco"], ["Campo Grande"], ["Santo Andr\u00e9"], ["Jo\u00e3o Pessoa"], ["Jaboat\u00e3o dos Guararapes"], ["Contagem"], ["S\u00e3o Jos\u00e9 dos Campos"], ["Uberl\u00e2ndia"], ["Feira de Santana"], ["Ribeir\u00e3o Preto"], ["Sorocaba"], ["Niter\u00f3i"], ["Cuiab\u00e1"], ["Juiz de Fora"], ["Aracaju"], ["S\u00e3o Jo\u00e3o de Meriti"], ["Londrina"], ["Joinville"], ["Belford Roxo"], ["Santos"], ["Ananindeua"], ["Campos dos Goytacazes"], ["Mau\u00e1"], ["Carapicu\u00edba"], ["Olinda"], ["Campina Grande"], ["S\u00e3o Jos\u00e9 do Rio Preto"], ["Caxias do Sul"], ["Moji das Cruzes"], ["Diadema"], ["Aparecida de Goi\u00e2nia"], ["Piracicaba"], ["Cariacica"], ["Vila Velha"], ["Pelotas"], ["Bauru"], ["Porto Velho"], ["Serra"], ["Betim"], ["Jund\u00eda\u00ed"], ["Canoas"], ["Franca"], ["S\u00e3o Vicente"], ["Maring\u00e1"], ["Montes Claros"], ["An\u00e1polis"], ["Florian\u00f3polis"], ["Petr\u00f3polis"], ["Itaquaquecetuba"], ["Vit\u00f3ria"], ["Ponta Grossa"], ["Rio Branco"], ["Foz do Igua\u00e7u"], ["Macap\u00e1"], ["Ilh\u00e9us"], ["Vit\u00f3ria da Conquista"], ["Uberaba"], ["Paulista"], ["Limeira"], ["Blumenau"], ["Caruaru"], ["Santar\u00e9m"], ["Volta Redonda"], ["Novo Hamburgo"], ["Caucaia"], ["Santa Maria"], ["Cascavel"], ["Guaruj\u00e1"], ["Ribeir\u00e3o das Neves"], ["Governador Valadares"], ["Taubat\u00e9"], ["Imperatriz"], ["Gravata\u00ed"], ["Embu"], ["Mossor\u00f3"], ["V\u00e1rzea Grande"], ["Petrolina"], ["Barueri"], ["Viam\u00e3o"], ["Ipatinga"], ["Juazeiro"], ["Juazeiro do Norte"], ["Tabo\u00e3o da Serra"], ["S\u00e3o Jos\u00e9 dos Pinhais"], ["Mag\u00e9"], ["Suzano"], ["S\u00e3o Leopoldo"], ["Mar\u00edlia"], ["S\u00e3o Carlos"], ["Sumar\u00e9"], ["Presidente Prudente"], ["Divin\u00f3polis"], ["Sete Lagoas"], ["Rio Grande"], ["Itabuna"], ["Jequi\u00e9"], ["Arapiraca"], ["Colombo"], ["Americana"], ["Alvorada"], ["Araraquara"], ["Itabora\u00ed"], ["Santa B\u00e1rbara d\u00b4Oeste"], ["Nova Friburgo"], ["Jacare\u00ed"], ["Ara\u00e7atuba"], ["Barra Mansa"], ["Praia Grande"], ["Marab\u00e1"], ["Crici\u00fama"], ["Boa Vista"], ["Passo Fundo"], ["Dourados"], ["Santa Luzia"], ["Rio Claro"], ["Maracana\u00fa"], ["Guarapuava"], ["Glasgow"], ["Liverpool"], ["Edinburgh"], ["Sheffield"], ["Manchester"], ["Leeds"], ["Bristol"], ["Cardiff"], ["Coventry"], ["Leicester"], ["Bradford"], ["Belfast"], ["Nottingham"], ["Kingston upon Hull"], ["Plymouth"], ["Stoke-on-Trent"], ["Wolverhampton"], ["Derby"], ["Swansea"], ["Southampton"], ["Aberdeen"], ["Northampton"], ["Dudley"], ["Portsmouth"], ["Newcastle upon Tyne"], ["Sunderland"], ["Luton"], ["Swindon"], ["Southend-on-Sea"], ["Walsall"], ["Bournemouth"], ["Plovdiv"], ["Varna"], ["Burgas"], ["Ruse"], ["Ouagadougou"], ["Bobo-Dioulasso"], ["Bujumbura"], ["Puente Alto"], ["Vi\u00f1a del Mar"], ["Valpara\u00edso"], ["Talcahuano"], ["Antofagasta"], ["San Bernardo"], ["Temuco"], ["Concepci\u00f3n"], ["Rancagua"], ["Arica"], ["Talca"], ["Chill\u00e1n"], ["Iquique"], ["San Jos\u00e9"], ["Djibouti"], ["Santiago de los Caballeros"], ["Cuenca"], ["Machala"], ["Santo Domingo de los Colorados"], ["Portoviejo"], ["Ambato"], ["Manta"], ["Shubra al-Khayma"], ["Port Said"], ["Suez"], ["al-Mahallat al-Kubra"], ["Tanta"], ["al-Mansura"], ["Luxor"], ["Asyut"], ["Bahtim"], ["Zagazig"], ["al-Faiyum"], ["Ismailia"], ["Kafr al-Dawwar"], ["Assuan"], ["Damanhur"], ["al-Minya"], ["Bani Suwayf"], ["Qina"], ["Sawhaj"], ["San Salvador"], ["Asmara"], ["Valencia"], ["Sevilla"], ["Zaragoza"], ["M\u00e1laga"], ["Bilbao"], ["Las Palmas de Gran Canaria"], ["Murcia"], ["Palma de Mallorca"], ["Valladolid"], ["C\u00f3rdoba"], ["Vigo"], ["Alicante [Alacant]"], ["Gij\u00f3n"], ["L\u00b4Hospitalet de Llobregat"], ["Granada"], ["A Coru\u00f1a [La Coru\u00f1a]"], ["Vitoria-Gasteiz"], ["Santa Cruz de Tenerife"], ["Badalona"], ["Oviedo"], ["M\u00f3stoles"], ["Elche [Elx]"], ["Sabadell"], ["Santander"], ["Jerez de la Frontera"], ["Pamplona [Iru\u00f1a]"], ["Donostia-San Sebasti\u00e1n"], ["Cartagena"], ["Legan\u00e9s"], ["Fuenlabrada"], ["Almer\u00eda"], ["Terrassa"], ["Alcal\u00e1 de Henares"], ["Burgos"], ["Johannesburg"], ["Port Elizabeth"], ["Pretoria"], ["Inanda"], ["Durban"], ["Vanderbijlpark"], ["Kempton Park"], ["Alberton"], ["Pinetown"], ["Pietermaritzburg"], ["Benoni"], ["Randburg"], ["Umlazi"], ["Bloemfontein"], ["Vereeniging"], ["Wonderboom"], ["Roodepoort"], ["Boksburg"], ["Klerksdorp"], ["Soshanguve"], ["Newcastle"], ["East London"], ["Welkom"], ["Kimberley"], ["Uitenhage"], ["Chatsworth"], ["Mdantsane"], ["Krugersdorp"], ["Botshabelo"], ["Brakpan"], ["Witbank"], ["Oberholzer"], ["Germiston"], ["Springs"], ["Dire Dawa"], ["Cebu"], ["Zamboanga"], ["Pasig"], ["Valenzuela"], ["Las Pi\u00f1as"], ["Antipolo"], ["Taguig"], ["Cagayan de Oro"], ["Para\u00f1aque"], ["Makati"], ["Bacolod"], ["General Santos"], ["Marikina"], ["Dasmari\u00f1as"], ["Muntinlupa"], ["Iloilo"], ["Pasay"], ["Malabon"], ["San Jos\u00e9 del Monte"], ["Bacoor"], ["Iligan"], ["Calamba"], ["Mandaluyong"], ["Butuan"], ["Angeles"], ["Tarlac"], ["Mandaue"], ["Baguio"], ["Batangas"], ["Cainta"], ["San Pedro"], ["Navotas"], ["Cabanatuan"], ["San Fernando"], ["Lipa"], ["Lapu-Lapu"], ["San Pablo"], ["Bi\u00f1an"], ["Taytay"], ["Lucena"], ["Imus"], ["Olongapo"], ["Binangonan"], ["Santa Rosa"], ["Tagum"], ["Tacloban"], ["Malolos"], ["Mabalacat"], ["Cotabato"], ["Meycauayan"], ["Puerto Princesa"], ["Libreville"], ["Kutaisi"], ["Kumasi"], ["Ciudad de Guatemala"], ["Mixco"], ["Bissau"], ["Georgetown"], ["Port-au-Prince"], ["Carrefour"], ["Delmas"], ["Tegucigalpa"], ["San Pedro Sula"], ["Malang"], ["Bandar Lampung"], ["Bekasi"], ["Padang"], ["Surakarta"], ["Banjarmasin"], ["Pekan Baru"], ["Denpasar"], ["Yogyakarta"], ["Pontianak"], ["Samarinda"], ["Jambi"], ["Depok"], ["Cimahi"], ["Balikpapan"], ["Manado"], ["Mataram"], ["Pekalongan"], ["Tegal"], ["Bogor"], ["Ciputat"], ["Pondokgede"], ["Cirebon"], ["Kediri"], ["Ambon"], ["Jember"], ["Cilacap"], ["Cimanggis"], ["Pematang Siantar"], ["Purwokerto"], ["Ciomas"], ["Tasikmalaya"], ["Madiun"], ["Srinagar"], ["Agra"], ["Coimbatore"], ["Thane [Thana]"], ["Allahabad"], ["Meerut"], ["Vishakhapatnam"], ["Jabalpur"], ["Amritsar"], ["Faridabad"], ["Vijayawada"], ["Gwalior"], ["Jodhpur"], ["Nashik [Nasik]"], ["Hubli-Dharwad"], ["Solapur [Sholapur]"], ["Ranchi"], ["Bareilly"], ["Guwahati [Gauhati]"], ["Shambajinagar [Aurangabad]"], ["Cochin [Kochi]"], ["Rajkot"], ["Kota"], ["Thiruvananthapuram [Trivandrum"], ["Pimpri-Chinchwad"], ["Jalandhar [Jullundur]"], ["Gorakhpur"], ["Chandigarh"], ["Mysore"], ["Aligarh"], ["Guntur"], ["Jamshedpur"], ["Ghaziabad"], ["Warangal"], ["Raipur"], ["Moradabad"], ["Durgapur"], ["Amravati"], ["Calicut [Kozhikode]"], ["Bikaner"], ["Bhubaneswar"], ["Kolhapur"], ["Kataka [Cuttack]"], ["Ajmer"], ["Bhavnagar"], ["Tiruchirapalli"], ["Bhilai"], ["Bhiwandi"], ["Saharanpur"], ["Ulhasnagar"], ["Salem"], ["Ujjain"], ["Malegaon"], ["Jamnagar"], ["Bokaro Steel City"], ["Akola"], ["Belgaum"], ["Rajahmundry"], ["Nellore"], ["Udaipur"], ["New Bombay"], ["Bhatpara"], ["Gulbarga"], ["New Delhi"], ["Jhansi"], ["Gaya"], ["Kakinada"], ["Dhule [Dhulia]"], ["Panihati"], ["Nanded [Nander]"], ["Mangalore"], ["Dehra Dun"], ["Kamarhati"], ["Davangere"], ["Asansol"], ["Bhagalpur"], ["Bellary"], ["Barddhaman [Burdwan]"], ["Rampur"], ["Jalgaon"], ["Muzaffarpur"], ["Nizamabad"], ["Muzaffarnagar"], ["Patiala"], ["Shahjahanpur"], ["Kurnool"], ["Tiruppur [Tirupper]"], ["Rohtak"], ["South Dum Dum"], ["Mathura"], ["Chandrapur"], ["Barahanagar [Baranagar]"], ["Darbhanga"], ["Siliguri [Shiliguri]"], ["Raurkela"], ["Ambattur"], ["Panipat"], ["Firozabad"], ["Ichalkaranji"], ["Jammu"], ["Ramagundam"], ["Eluru"], ["Brahmapur"], ["Alwar"], ["Pondicherry"], ["Thanjavur"], ["Bihar Sharif"], ["Tuticorin"], ["Imphal"], ["Latur"], ["Sagar"], ["Farrukhabad-cum-Fatehgarh"], ["Sangli"], ["Parbhani"], ["Nagar Coil"], ["Bijapur"], ["Kukatpalle"], ["Bally"], ["Bhilwara"], ["Ratlam"], ["Avadi"], ["Dindigul"], ["Ahmadnagar"], ["Bilaspur"], ["Shimoga"], ["Kharagpur"], ["Mira Bhayandar"], ["Vellore"], ["Jalna"], ["Burnpur"], ["Anantapur"], ["Allappuzha [Alleppey]"], ["Tirupati"], ["Karnal"], ["Burhanpur"], ["Hisar [Hissar]"], ["Tiruvottiyur"], ["Mirzapur-cum-Vindhyachal"], ["Secunderabad"], ["Nadiad"], ["Dewas"], ["Murwara [Katni]"], ["Ganganagar"], ["Vizianagaram"], ["Mosul"], ["Irbil"], ["Kirkuk"], ["Basra"], ["al-Sulaymaniya"], ["al-Najaf"], ["Karbala"], ["al-Hilla"], ["al-Nasiriya"], ["al-Amara"], ["al-Diwaniya"], ["al-Ramadi"], ["al-Kut"], ["Ahvaz"], ["Qom"], ["Kermanshah"], ["Urmia"], ["Zahedan"], ["Rasht"], ["Hamadan"], ["Kerman"], ["Arak"], ["Ardebil"], ["Yazd"], ["Qazvin"], ["Zanjan"], ["Sanandaj"], ["Bandar-e-Abbas"], ["Khorramabad"], ["Eslamshahr"], ["Borujerd"], ["Abadan"], ["Dezful"], ["Kashan"], ["Sari"], ["Gorgan"], ["Najafabad"], ["Sabzevar"], ["Khomeynishahr"], ["Dublin"], ["Jerusalem"], ["Tel Aviv-Jaffa"], ["Haifa"], ["Rishon Le Ziyyon"], ["Beerseba"], ["Holon"], ["Palermo"], ["Genova"], ["Bologna"], ["Firenze"], ["Catania"], ["Bari"], ["Venezia"], ["Messina"], ["Verona"], ["Trieste"], ["Padova"], ["Taranto"], ["Brescia"], ["Reggio di Calabria"], ["Modena"], ["Prato"], ["Parma"], ["Cagliari"], ["Livorno"], ["Graz"], ["Linz"], ["Chiba"], ["Sakai"], ["Kumamoto"], ["Okayama"], ["Sagamihara"], ["Hamamatsu"], ["Kagoshima"], ["Funabashi"], ["Higashiosaka"], ["Hachioji"], ["Niigata"], ["Amagasaki"], ["Himeji"], ["Shizuoka"], ["Urawa"], ["Matsuyama"], ["Matsudo"], ["Kanazawa"], ["Kawaguchi"], ["Ichikawa"], ["Omiya"], ["Utsunomiya"], ["Oita"], ["Nagasaki"], ["Yokosuka"], ["Kurashiki"], ["Gifu"], ["Hirakata"], ["Nishinomiya"], ["Toyonaka"], ["Wakayama"], ["Fukuyama"], ["Fujisawa"], ["Asahikawa"], ["Machida"], ["Nara"], ["Takatsuki"], ["Iwaki"], ["Nagano"], ["Toyohashi"], ["Toyota"], ["Suita"], ["Takamatsu"], ["Koriyama"], ["Okazaki"], ["Kawagoe"], ["Tokorozawa"], ["Toyama"], ["Kochi"], ["Kashiwa"], ["Akita"], ["Miyazaki"], ["Koshigaya"], ["Naha"], ["Aomori"], ["Hakodate"], ["Akashi"], ["Yokkaichi"], ["Fukushima"], ["Morioka"], ["Maebashi"], ["Kasugai"], ["Otsu"], ["Ichihara"], ["Yao"], ["Ichinomiya"], ["Tokushima"], ["Kakogawa"], ["Ibaraki"], ["Neyagawa"], ["Shimonoseki"], ["Yamagata"], ["Fukui"], ["Hiratsuka"], ["Mito"], ["Sasebo"], ["Hachinohe"], ["Takasaki"], ["Shimizu"], ["Kurume"], ["Fuji"], ["Soka"], ["Fuchu"], ["Chigasaki"], ["Atsugi"], ["Numazu"], ["Ageo"], ["Yamato"], ["Matsumoto"], ["Kure"], ["Takarazuka"], ["Kasukabe"], ["Chofu"], ["Odawara"], ["Kofu"], ["Kushiro"], ["Kishiwada"], ["Hitachi"], ["Nagaoka"], ["Itami"], ["Uji"], ["Suzuka"], ["Hirosaki"], ["Ube"], ["Kodaira"], ["Takaoka"], ["Obihiro"], ["Tomakomai"], ["Saga"], ["Sakura"], ["Kamakura"], ["Mitaka"], ["Izumi"], ["Hino"], ["Hadano"], ["Ashikaga"], ["Tsu"], ["Sayama"], ["Yachiyo"], ["Tsukuba"], ["Sanaa"], ["Aden"], ["Taizz"], ["Hodeida"], ["al-Zarqa"], ["Irbid"], ["Novi Sad"], ["Ni\u0161"], ["Phnom Penh"], ["Garoua"], ["Calgary"], ["Toronto"], ["North York"], ["Winnipeg"], ["Edmonton"], ["Mississauga"], ["Scarborough"], ["Vancouver"], ["Etobicoke"], ["London"], ["Hamilton"], ["Ottawa"], ["Laval"], ["Surrey"], ["Brampton"], ["Windsor"], ["Saskatoon"], ["Kitchener"], ["Markham"], ["Regina"], ["Burnaby"], ["Qu\u00e9bec"], ["Qaraghandy"], ["Shymkent"], ["Taraz"], ["Astana"], ["\u00d6skemen"], ["Pavlodar"], ["Semey"], ["Aqt\u00f6be"], ["Qostanay"], ["Petropavl"], ["Oral"], ["Temirtau"], ["Mombasa"], ["Kisumu"], ["Nakuru"], ["Bangui"], ["Handan"], ["Wuxi"], ["Xuzhou"], ["Datong"], ["Yichun"], ["Benxi"], ["Luoyang"], ["Suzhou"], ["Xining"], ["Huainan"], ["Jixi"], ["Daqing"], ["Fuxin"], ["Amoy [Xiamen]"], ["Liuzhou"], ["Shantou"], ["Jinzhou"], ["Mudanjiang"], ["Yinchuan"], ["Changzhou"], ["Zhangjiakou"], ["Dandong"], ["Hegang"], ["Kaifeng"], ["Jiamusi"], ["Liaoyang"], ["Hengyang"], ["Baoding"], ["Hunjiang"], ["Xinxiang"], ["Huangshi"], ["Haikou"], ["Yantai"], ["Bengbu"], ["Xiangtan"], ["Weifang"], ["Wuhu"], ["Pingxiang"], ["Yingkou"], ["Anyang"], ["Panzhihua"], ["Pingdingshan"], ["Xiangfan"], ["Zhuzhou"], ["Jiaozuo"], ["Wenzhou"], ["Zhangjiang"], ["Zigong"], ["Shuangyashan"], ["Zaozhuang"], ["Yakeshi"], ["Yichang"], ["Zhenjiang"], ["Huaibei"], ["Qinhuangdao"], ["Guilin"], ["Liupanshui"], ["Panjin"], ["Yangquan"], ["Jinxi"], ["Liaoyuan"], ["Lianyungang"], ["Xianyang"], ["Tai\u00b4an"], ["Chifeng"], ["Shaoguan"], ["Nantong"], ["Leshan"], ["Baoji"], ["Linyi"], ["Tonghua"], ["Siping"], ["Changzhi"], ["Tengzhou"], ["Chaozhou"], ["Yangzhou"], ["Dongwan"], ["Ma\u00b4anshan"], ["Foshan"], ["Yueyang"], ["Xingtai"], ["Changde"], ["Shihezi"], ["Yancheng"], ["Jiujiang"], ["Dongying"], ["Shashi"], ["Xintai"], ["Jingdezhen"], ["Tongchuan"], ["Zhongshan"], ["Shiyan"], ["Tieli"], ["Jining"], ["Wuhai"], ["Mianyang"], ["Luzhou"], ["Zunyi"], ["Shizuishan"], ["Neijiang"], ["Tongliao"], ["Tieling"], ["Wafangdian"], ["Anqing"], ["Shaoyang"], ["Laiwu"], ["Chengde"], ["Tianshui"], ["Nanyang"], ["Cangzhou"], ["Yibin"], ["Huaiyin"], ["Dunhua"], ["Yanji"], ["Jiangmen"], ["Tongling"], ["Suihua"], ["Gongziling"], ["Xiantao"], ["Chaoyang"], ["Ganzhou"], ["Huzhou"], ["Baicheng"], ["Shangzi"], ["Yangjiang"], ["Qitaihe"], ["Gejiu"], ["Jiangyin"], ["Hebi"], ["Jiaxing"], ["Wuzhou"], ["Meihekou"], ["Xuchang"], ["Liaocheng"], ["Haicheng"], ["Qianjiang"], ["Baiyin"], ["Bei\u00b4an"], ["Yixing"], ["Laizhou"], ["Qaramay"], ["Acheng"], ["Dezhou"], ["Nanping"], ["Zhaoqing"], ["Beipiao"], ["Fengcheng"], ["Fuyu"], ["Xinyang"], ["Dongtai"], ["Yuci"], ["Honghu"], ["Ezhou"], ["Heze"], ["Daxian"], ["Linfen"], ["Tianmen"], ["Yiyang"], ["Quanzhou"], ["Rizhao"], ["Deyang"], ["Guangyuan"], ["Changshu"], ["Zhangzhou"], ["Hailar"], ["Nanchong"], ["Jiutai"], ["Zhaodong"], ["Shaoxing"], ["Fuyang"], ["Maoming"], ["Qujing"], ["Ghulja"], ["Jiaohe"], ["Puyang"], ["Huadian"], ["Jiangyou"], ["Qashqar"], ["Anshun"], ["Fuling"], ["Xinyu"], ["Hanzhong"], ["Danyang"], ["Chenzhou"], ["Xiaogan"], ["Shangqiu"], ["Zhuhai"], ["Qingyuan"], ["Aqsu"], ["Jining"], ["Xiaoshan"], ["Zaoyang"], ["Xinghua"], ["Hami"], ["Huizhou"], ["Jinmen"], ["Sanming"], ["Bishkek"], ["Osh"], ["Cartagena"], ["C\u00facuta"], ["Bucaramanga"], ["Ibagu\u00e9"], ["Pereira"], ["Santa Marta"], ["Manizales"], ["Bello"], ["Pasto"], ["Neiva"], ["Soledad"], ["Armenia"], ["Villavicencio"], ["Soacha"], ["Valledupar"], ["Monter\u00eda"], ["Itag\u00fc\u00ed"], ["Palmira"], ["Buenaventura"], ["Floridablanca"], ["Sincelejo"], ["Popay\u00e1n"], ["Barrancabermeja"], ["Pointe-Noire"], ["Lubumbashi"], ["Mbuji-Mayi"], ["Kolwezi"], ["Kisangani"], ["Kananga"], ["Likasi"], ["Bukavu"], ["Kikwit"], ["Tshikapa"], ["Matadi"], ["Mbandaka"], ["Hamhung"], ["Chongjin"], ["Nampo"], ["Sinuiju"], ["Wonsan"], ["Phyongsong"], ["Sariwon"], ["Haeju"], ["Kanggye"], ["Kimchaek"], ["Hyesan"], ["Kaesong"], ["Songnam"], ["Puchon"], ["Suwon"], ["Anyang"], ["Chonju"], ["Chongju"], ["Koyang"], ["Ansan"], ["Pohang"], ["Chang-won"], ["Masan"], ["Kwangmyong"], ["Chonan"], ["Chinju"], ["Iksan"], ["Pyongtaek"], ["Kumi"], ["Uijongbu"], ["Kyongju"], ["Kunsan"], ["Cheju"], ["Kimhae"], ["Sunchon"], ["Mokpo"], ["Yong-in"], ["Wonju"], ["Kunpo"], ["Chunchon"], ["Namyangju"], ["Kangnung"], ["Chungju"], ["Andong"], ["Yosu"], ["Kyongsan"], ["Paju"], ["Yangsan"], ["Athenai"], ["Thessaloniki"], ["Pireus"], ["Zagreb"], ["Split"], ["Rijeka"], ["Santiago de Cuba"], ["Camag\u00fcey"], ["Holgu\u00edn"], ["Santa Clara"], ["Guant\u00e1namo"], ["Nicosia"], ["Vientiane"], ["Riga"], ["Maseru"], ["Tripoli"], ["Monrovia"], ["Bengasi"], ["Vilnius"], ["Kaunas"], ["Klaipeda"], ["El-Aai\u00fan"], ["Macao"], ["Antananarivo"], ["Skopje"], ["Blantyre"], ["Lilongwe"], ["Ipoh"], ["Johor Baharu"], ["Petaling Jaya"], ["Kelang"], ["Kuala Terengganu"], ["Pinang"], ["Kota Bharu"], ["Kuantan"], ["Taiping"], ["Seremban"], ["Bamako"], ["Rabat"], ["Marrakech"], ["F\u00e8s"], ["Tanger"], ["Sal\u00e9"], ["Mekn\u00e8s"], ["Oujda"], ["K\u00e9nitra"], ["T\u00e9touan"], ["Safi"], ["Nouakchott"], ["Naucalpan de Ju\u00e1rez"], ["Mexicali"], ["Culiac\u00e1n"], ["Acapulco de Ju\u00e1rez"], ["Tlalnepantla de Baz"], ["M\u00e9rida"], ["Chihuahua"], ["San Luis Potos\u00ed"], ["Guadalupe"], ["Toluca"], ["Aguascalientes"], ["Quer\u00e9taro"], ["Morelia"], ["Hermosillo"], ["Saltillo"], ["Torre\u00f3n"], ["Centro [Villahermosa]"], ["San Nicol\u00e1s de los Garza"], ["Durango"], ["Chimalhuac\u00e1n"], ["Tlaquepaque"], ["Atizap\u00e1n de Zaragoza"], ["Veracruz"], ["Cuautitl\u00e1n Izcalli"], ["Irapuato"], ["Tuxtla Guti\u00e9rrez"], ["Tultitl\u00e1n"], ["Reynosa"], ["Benito Ju\u00e1rez"], ["Matamoros"], ["Xalapa"], ["Celaya"], ["Mazatl\u00e1n"], ["Ensenada"], ["Ahome"], ["Cajeme"], ["Cuernavaca"], ["Tonal\u00e1"], ["Valle de Chalco Solidaridad"], ["Nuevo Laredo"], ["Tepic"], ["Tampico"], ["Ixtapaluca"], ["Apodaca"], ["Guasave"], ["G\u00f3mez Palacio"], ["Tapachula"], ["Nicol\u00e1s Romero"], ["Coatzacoalcos"], ["Uruapan"], ["Victoria"], ["Oaxaca de Ju\u00e1rez"], ["Coacalco de Berrioz\u00e1bal"], ["Pachuca de Soto"], ["General Escobedo"], ["Salamanca"], ["Santa Catarina"], ["Tehuac\u00e1n"], ["Chalco"], ["C\u00e1rdenas"], ["Campeche"], ["La Paz"], ["Oth\u00f3n P. Blanco [Chetumal]"], ["Texcoco"], ["La Paz"], ["Metepec"], ["Monclova"], ["Huixquilucan"], ["Chilpancingo de los Bravo"], ["Puerto Vallarta"], ["Fresnillo"], ["Ciudad Madero"], ["Soledad de Graciano S\u00e1nchez"], ["San Juan del R\u00edo"], ["San Felipe del Progreso"], ["C\u00f3rdoba"], ["Tec\u00e1mac"], ["Ocosingo"], ["Carmen"], ["L\u00e1zaro C\u00e1rdenas"], ["Jiutepec"], ["Papantla"], ["Comalcalco"], ["Zamora"], ["Chisinau"], ["Tiraspol"], ["Ulan Bator"], ["Matola"], ["Beira"], ["Nampula"], ["Chimoio"], ["Mandalay"], ["Moulmein [Mawlamyine]"], ["Pegu [Bago]"], ["Bassein [Pathein]"], ["Windhoek"], ["Kathmandu"], ["Niamey"], ["Ogbomosho"], ["Kano"], ["Oshogbo"], ["Ilorin"], ["Abeokuta"], ["Port Harcourt"], ["Zaria"], ["Ilesha"], ["Onitsha"], ["Iwo"], ["Ado-Ekiti"], ["Abuja"], ["Kaduna"], ["Mushin"], ["Maiduguri"], ["Enugu"], ["Ede"], ["Aba"], ["Ife"], ["Ila"], ["Oyo"], ["Ikerre"], ["Benin City"], ["Iseyin"], ["Katsina"], ["Jos"], ["Sokoto"], ["Ilobu"], ["Offa"], ["Ikorodu"], ["Ilawe-Ekiti"], ["Owo"], ["Ikirun"], ["Shaki"], ["Calabar"], ["Ondo"], ["Akure"], ["Oslo"], ["Bergen"], ["Bouak\u00e9"], ["Quetta"], ["Islamabad"], ["Sargodha"], ["Sialkot"], ["Bahawalpur"], ["Sukkur"], ["Jhang"], ["Sheikhupura"], ["Larkana"], ["Gujrat"], ["Mardan"], ["Kasur"], ["Rahim Yar Khan"], ["Sahiwal"], ["Okara"], ["Wah"], ["Dera Ghazi Khan"], ["Mirpur Khas"], ["Nawabshah"], ["Mingora"], ["Chiniot"], ["Ciudad de Panam\u00e1"], ["San Miguelito"], ["Port Moresby"], ["Asunci\u00f3n"], ["Arequipa"], ["Trujillo"], ["Chiclayo"], ["Callao"], ["Iquitos"], ["Chimbote"], ["Huancayo"], ["Piura"], ["Cusco"], ["Pucallpa"], ["Tacna"], ["Ica"], ["Lisboa"], ["Porto"], ["San Juan"], ["Bayam\u00f3n"], ["Ponce"], ["Carolina"], ["L\u00f3dz"], ["Krak\u00f3w"], ["Wroclaw"], ["Poznan"], ["Gdansk"], ["Szczecin"], ["Bydgoszcz"], ["Lublin"], ["Katowice"], ["Bialystok"], ["Czestochowa"], ["Gdynia"], ["Sosnowiec"], ["Radom"], ["Kielce"], ["Gliwice"], ["Torun"], ["Bytom"], ["Zabrze"], ["Bielsko-Biala"], ["Olsztyn"], ["Rzesz\u00f3w"], ["Doha"], ["Marseille"], ["Lyon"], ["Toulouse"], ["Nice"], ["Nantes"], ["Strasbourg"], ["Montpellier"], ["Bordeaux"], ["Rennes"], ["Le Havre"], ["Reims"], ["Lille"], ["St-\u00c9tienne"], ["Toulon"], ["Iasi"], ["Constanta"], ["Cluj-Napoca"], ["Galati"], ["Timisoara"], ["Brasov"], ["Craiova"], ["Ploiesti"], ["Braila"], ["Oradea"], ["Bacau"], ["Pitesti"], ["Arad"], ["Sibiu"], ["T\u00e2rgu Mures"], ["Kigali"], ["Stockholm"], ["Gothenburg [G\u00f6teborg]"], ["Malm\u00f6"], ["Uppsala"], ["Frankfurt am Main"], ["Essen"], ["Dortmund"], ["Stuttgart"], ["D\u00fcsseldorf"], ["Bremen"], ["Duisburg"], ["Hannover"], ["Leipzig"], ["N\u00fcrnberg"], ["Dresden"], ["Bochum"], ["Wuppertal"], ["Bielefeld"], ["Mannheim"], ["Bonn"], ["Gelsenkirchen"], ["Karlsruhe"], ["Wiesbaden"], ["M\u00fcnster"], ["M\u00f6nchengladbach"], ["Chemnitz"], ["Augsburg"], ["Halle/Saale"], ["Braunschweig"], ["Aachen"], ["Krefeld"], ["Magdeburg"], ["Kiel"], ["Oberhausen"], ["L\u00fcbeck"], ["Hagen"], ["Rostock"], ["Freiburg im Breisgau"], ["Erfurt"], ["Kassel"], ["Saarbr\u00fccken"], ["Mainz"], ["Hamm"], ["Herne"], ["M\u00fclheim an der Ruhr"], ["Solingen"], ["Osnabr\u00fcck"], ["Ludwigshafen am Rhein"], ["Leverkusen"], ["Ndola"], ["Kitwe"], ["Medina"], ["al-Dammam"], ["al-Taif"], ["Tabuk"], ["Burayda"], ["al-Hufuf"], ["al-Mubarraz"], ["Khamis Mushayt"], ["Hail"], ["Pikine"], ["Dakar"], ["Thi\u00e8s"], ["Kaolack"], ["Ziguinchor"], ["Freetown"], ["Bratislava"], ["Ko\u0161ice"], ["Ljubljana"], ["Colombo"], ["Dehiwala"], ["Moratuwa"], ["Sharq al-Nil"], ["Port Sudan"], ["Kassala"], ["Obeid"], ["Nyala"], ["Wad Madani"], ["al-Qadarif"], ["Kusti"], ["Helsinki [Helsingfors]"], ["Espoo"], ["Tampere"], ["Vantaa"], ["Turku [\u00c5bo]"], ["Z\u00fcrich"], ["Geneve"], ["Basel"], ["Hims"], ["Hama"], ["Latakia"], ["Dushanbe"], ["Khujand"], ["Tainan"], ["Panchiao"], ["Chungho"], ["Keelung [Chilung]"], ["Sanchung"], ["Hsinchuang"], ["Hsinchu"], ["Chungli"], ["Fengshan"], ["Taoyuan"], ["Chiayi"], ["Hsintien"], ["Changhwa"], ["Yungho"], ["Tucheng"], ["Pingtung"], ["Yungkang"], ["Pingchen"], ["Tali"], ["Taiping"], ["Pate"], ["Fengyuan"], ["Luchou"], ["Dodoma"], ["Mwanza"], ["K\u00f8benhavn"], ["\u00c5rhus"], ["Odense"], ["Aalborg"], ["Nonthaburi"], ["Nakhon Ratchasima"], ["Chiang Mai"], ["Lom\u00e9"], ["N\u00b4Djam\u00e9na"], ["Brno"], ["Ostrava"], ["Plzen"], ["Tunis"], ["Sfax"], ["Ariana"], ["Ettadhamen"], ["Gaziantep"], ["Konya"], ["Mersin [I\u00e7el]"], ["Antalya"], ["Diyarbakir"], ["Kayseri"], ["Eskisehir"], ["Sanliurfa"], ["Samsun"], ["Malatya"], ["Gebze"], ["Denizli"], ["Sivas"], ["Erzurum"], ["Tarsus"], ["Kahramanmaras"], ["El\u00e2zig"], ["Van"], ["Sultanbeyli"], ["Izmit [Kocaeli]"], ["Manisa"], ["Batman"], ["Balikesir"], ["Sakarya [Adapazari]"], ["Ashgabat"], ["Ch\u00e4rjew"], ["Kampala"], ["Zaporizzja"], ["Lviv"], ["Kryvyi Rig"], ["Mykolajiv"], ["Mariupol"], ["Lugansk"], ["Vinnytsja"], ["Makijivka"], ["Herson"], ["Sevastopol"], ["Simferopol"], ["Pultava [Poltava]"], ["T\u0161ernigiv"], ["T\u0161erkasy"], ["Gorlivka"], ["Zytomyr"], ["Sumy"], ["Dniprodzerzynsk"], ["Kirovograd"], ["Hmelnytskyi"], ["T\u0161ernivtsi"], ["Rivne"], ["Krement\u0161uk"], ["Ivano-Frankivsk"], ["Ternopil"], ["Lutsk"], ["Bila Tserkva"], ["Kramatorsk"], ["Melitopol"], ["Kert\u0161"], ["Debrecen"], ["Miskolc"], ["Auckland"], ["Christchurch"], ["Manukau"], ["North Shore"], ["Waitakere"], ["Wellington"], ["Namangan"], ["Samarkand"], ["Andijon"], ["Buhoro"], ["Karsi"], ["Nukus"], ["K\u00fckon"], ["Fargona"], ["Gomel"], ["Mogiljov"], ["Vitebsk"], ["Grodno"], ["Brest"], ["Bobruisk"], ["Baranovit\u0161i"], ["Barquisimeto"], ["Valencia"], ["Ciudad Guayana"], ["Petare"], ["Maracay"], ["Barcelona"], ["Matur\u00edn"], ["San Crist\u00f3bal"], ["Ciudad Bol\u00edvar"], ["Cuman\u00e1"], ["M\u00e9rida"], ["Cabimas"], ["Barinas"], ["Turmero"], ["Baruta"], ["Puerto Cabello"], ["Santa Ana de Coro"], ["Los Teques"], ["Punto Fijo"], ["Guarenas"], ["Krasnojarsk"], ["Saratov"], ["Toljatti"], ["Uljanovsk"], ["Izevsk"], ["Krasnodar"], ["Jaroslavl"], ["Habarovsk"], ["Vladivostok"], ["Irkutsk"], ["Barnaul"], ["Novokuznetsk"], ["Penza"], ["Rjazan"], ["Orenburg"], ["Lipetsk"], ["Nabereznyje T\u0161elny"], ["Tula"], ["Tjumen"], ["Kemerovo"], ["Astrahan"], ["Tomsk"], ["Kirov"], ["Ivanovo"], ["T\u0161eboksary"], ["Brjansk"], ["Tver"], ["Kursk"], ["Magnitogorsk"], ["Kaliningrad"], ["Nizni Tagil"], ["Murmansk"], ["Ulan-Ude"], ["Kurgan"], ["Arkangeli"], ["Sot\u0161i"], ["Smolensk"], ["Orjol"], ["Stavropol"], ["Belgorod"], ["Kaluga"], ["Vladimir"], ["Mahat\u0161kala"], ["T\u0161erepovets"], ["Saransk"], ["Tambov"], ["Vladikavkaz"], ["T\u0161ita"], ["Vologda"], ["Veliki Novgorod"], ["Komsomolsk-na-Amure"], ["Kostroma"], ["Volzski"], ["Taganrog"], ["Petroskoi"], ["Bratsk"], ["Dzerzinsk"], ["Surgut"], ["Orsk"], ["Sterlitamak"], ["Angarsk"], ["Jo\u0161kar-Ola"], ["Rybinsk"], ["Prokopjevsk"], ["Niznevartovsk"], ["Nalt\u0161ik"], ["Syktyvkar"], ["Severodvinsk"], ["Bijsk"], ["Niznekamsk"], ["Blagove\u0161t\u0161ensk"], ["\u0160ahty"], ["Staryi Oskol"], ["Zelenograd"], ["Balakovo"], ["Novorossijsk"], ["Pihkova"], ["Zlatoust"], ["Jakutsk"], ["Podolsk"], ["Petropavlovsk-Kamt\u0161atski"], ["Kamensk-Uralski"], ["Engels"], ["Syzran"], ["Grozny"], ["Novot\u0161erkassk"], ["Berezniki"], ["Juzno-Sahalinsk"], ["Volgodonsk"], ["Abakan"], ["Maikop"], ["Miass"], ["Armavir"], ["Ljubertsy"], ["Rubtsovsk"], ["Haiphong"], ["Da Nang"], ["Bi\u00ean Hoa"], ["Nha Trang"], ["Hue"], ["Can Tho"], ["Cam Pha"], ["Nam Dinh"], ["Quy Nhon"], ["Tallinn"], ["San Jose"], ["Indianapolis"], ["San Francisco"], ["Jacksonville"], ["Columbus"], ["Austin"], ["Baltimore"], ["Memphis"], ["Milwaukee"], ["Boston"], ["Washington"], ["Nashville-Davidson"], ["El Paso"], ["Seattle"], ["Denver"], ["Charlotte"], ["Fort Worth"], ["Portland"], ["Oklahoma City"], ["Tucson"], ["New Orleans"], ["Las Vegas"], ["Cleveland"], ["Long Beach"], ["Albuquerque"], ["Kansas City"], ["Fresno"], ["Virginia Beach"], ["Atlanta"], ["Sacramento"], ["Oakland"], ["Mesa"], ["Tulsa"], ["Omaha"], ["Minneapolis"], ["Honolulu"], ["Miami"], ["Colorado Springs"], ["Saint Louis"], ["Wichita"], ["Santa Ana"], ["Pittsburgh"], ["Arlington"], ["Cincinnati"], ["Anaheim"], ["Toledo"], ["Tampa"], ["Buffalo"], ["Saint Paul"], ["Corpus Christi"], ["Aurora"], ["Raleigh"], ["Newark"], ["Lexington-Fayette"], ["Anchorage"], ["Louisville"], ["Riverside"], ["Saint Petersburg"], ["Bakersfield"], ["Stockton"], ["Birmingham"], ["Jersey City"], ["Norfolk"], ["Baton Rouge"], ["Hialeah"], ["Lincoln"], ["Greensboro"], ["Plano"], ["Rochester"], ["Glendale"], ["Akron"], ["Garland"], ["Madison"], ["Fort Wayne"], ["Fremont"], ["Scottsdale"], ["Montgomery"], ["Shreveport"], ["Augusta-Richmond County"], ["Lubbock"], ["Chesapeake"], ["Mobile"], ["Des Moines"], ["Grand Rapids"], ["Richmond"], ["Yonkers"], ["Spokane"], ["Glendale"], ["Tacoma"], ["Irving"], ["Huntington Beach"], ["Modesto"], ["Durham"], ["Columbus"], ["Orlando"], ["Boise City"], ["Winston-Salem"], ["San Bernardino"], ["Jackson"], ["Little Rock"], ["Salt Lake City"], ["Reno"], ["Newport News"], ["Chandler"], ["Laredo"], ["Henderson"], ["Arlington"], ["Knoxville"], ["Amarillo"], ["Providence"], ["Chula Vista"], ["Worcester"], ["Oxnard"], ["Dayton"], ["Garden Grove"], ["Oceanside"], ["Bulawayo"], ["Chitungwiza"], ["Mount Darwin"], ["Gaza"]]	2,048	Answer:
Table city: [["ID", "Name", "CountryCode", "District", "Population"], ["167", "Jamalpur", "BGD", "Dhaka", "103556"], ["158", "Tungi", "BGD", "Dhaka", "168702"], ["166", "Tangail", "BGD", "Dhaka", "106004"], ["3119", "Heidelberg", "DEU", "Baden-Württemberg", "139672"], ["3109", "Mainz", "DEU", "Rheinland-Pfalz", "183134"], ["3758", "Bugulma", "RUS", "Tatarstan", "94100"], ["1520", "Cesena", "ITA", "Emilia-Romagna", "89852"], ["150", "Dhaka", "BGD", "Dhaka", "3612850"], ["1524", "Graz", "AUT", "Steiermark", "240967"], ["3247", "Basel", "CHE", "Basel-Stadt", "166700"], ["496", "Middlesbrough", "GBR", "England", "145000"], ["1170", "Shimoga", "IND", "Karnataka", "179258"], ["349", "Itapevi", "BRA", "São Paulo", "150664"], ["160", "Comilla", "BGD", "Chittagong", "135313"], ["2695", "Monaco-Ville", "MCO", "–", "1234"], ["4002", "Carrollton", "USA", "Texas", "109576"], ["1580", "Takatsuki", "JPN", "Osaka", "361747"], ["348", "Nilópolis", "BRA", "Rio de Janeiro", "153383"], ["156", "Mymensingh", "BGD", "Dhaka", "188713"], ["493", "West Bromwich", "GBR", "England", "146386"], ["3357", "Istanbul", "TUR", "Istanbul", "8787958"], ["2992", "Brest", "FRA", "Bretagne", "149634"], ["3132", "Pforzheim", "DEU", "Baden-Württemberg", "117227"], ["267", "Jundíaí", "BRA", "São Paulo", "296127"], ["4020", "Daly City", "USA", "California", "103621"], ["269", "Franca", "BRA", "São Paulo", "290139"], ["13", "Apeldoorn", "NLD", "Gelderland", "153491"], ["3462", "Berdjansk", "UKR", "Zaporizzja", "130000"], ["1526", "Salzburg", "AUT", "Salzburg", "144247"], ["3134", "Ulm", "DEU", "Baden-Württemberg", "116103"], ["342", "Rio Claro", "BRA", "São Paulo", "163551"], ["171", "Narsinghdi", "BGD", "Dhaka", "98342"], ["3358", "Ankara", "TUR", "Ankara", "3038159"], ["435", "Parnamirim", "BRA", "Rio Grande do Norte", "96210"], ["1496", "Monza", "ITA", "Lombardia", "119516"], ["3445", "Gorlivka", "UKR", "Donetsk", "299000"], ["3371", "Malatya", "TUR", "Malatya", "330312"], ["3100", "Kiel", "DEU", "Schleswig-Holstein", "233795"], ["1452", "Haifa", "ISR", "Haifa", "265700"], ["3380", "Sultanbeyli", "TUR", "Istanbul", "211068"], ["330", "Santa Bárbara d´Oeste", "BRA", "São Paulo", "171657"], ["2497", "Mohammedia", "MAR", "Casablanca", "154706"], ["3423", "Cockburn Town", "TCA", "Grand Turk", "4800"], ["154", "Narayanganj", "BGD", "Dhaka", "202134"], ["499", "Poole", "GBR", "England", "141000"], ["34", "Tirana", "ALB", "Tirana", "270000"], ["882", "Malita", "PHL", "Southern Mindanao", "100000"], ["3151", "Trier", "DEU", "Rheinland-Pfalz", "99891"], ["410", "Barretos", "BRA", "São Paulo", "104156"], ["173", "Gazipur", "BGD", "Dhaka", "96717"], ["3479", "Šostka", "UKR", "Sumy", "90000"], ["2996", "Aix-en-Provence", "FRA", "Provence-Alpes-Côte", "134222"], ["2092", "Hailar", "CHN", "Inner Mongolia", "180650"], ["3754", "Balašov", "RUS", "Saratov", "97100"], ["492", "Dundee", "GBR", "Scotland", "146690"], ["3750", "Tobolsk", "RUS", "Tjumen", "97600"], ["3803", "San Jose", "USA", "California", "894943"], ["274", "Florianópolis", "BRA", "Santa Catarina", "281928"], ["2993", "Le Mans", "FRA", "Pays de la Loire", "146105"], ["462", "Manchester", "GBR", "England", "430000"], ["1320", "Wardha", "IND", "Maharashtra", "102985"], ["491", "Blackpool", "GBR", "England", "151000"], ["1180", "Burhanpur", "IND", "Madhya Pradesh", "172710"], ["1497", "Bergamo", "ITA", "Lombardia", "117837"], ["786", "Malabon", "PHL", "National Capital Reg", "338855"], ["2998", "Nîmes", "FRA", "Languedoc-Roussillon", "133424"], ["3006", "Rouen", "FRA", "Haute-Normandie", "106592"], ["2999", "Tours", "FRA", "Centre", "132820"], ["1465", "Milano", "ITA", "Lombardia", "1300977"], ["3799", "San Diego", "USA", "California", "1223400"], ["3699", "Almetjevsk", "RUS", "Tatarstan", "140700"], ["1529", "Spanish Town", "JAM", "St. Catherine", "110379"], ["1359", "Hassan", "IND", "Karnataka", "90803"], ["457", "Birmingham", "GBR", "England", "1013000"], ["305", "Barueri", "BRA", "São Paulo", "208426"], ["2823", "Lahore", "PAK", "Punjab", "5063499"], ["3251", "Aleppo", "SYR", "Aleppo", "1261983"], ["3050", "Malmö", "SWE", "Skåne län", "259579"], ["2830", "Quetta", "PAK", "Baluchistan", "560307"], ["1050", "Allahabad", "IND", "Uttar Pradesh", "792858"], ["531", "Southport", "GBR", "England", "90959"], ["518", "Basildon", "GBR", "England", "100924"], ["439", "Tatuí", "BRA", "São Paulo", "93897"], ["396", "Jaú", "BRA", "São Paulo", "109965"], ["2498", "Khouribga", "MAR", "Chaouia-Ouardigha", "152090"], ["2974", "Paris", "FRA", "Île-de-France", "2125246"], ["411", "Guaratinguetá", "BRA", "São Paulo", "103433"], ["3700", "Novomoskovsk", "RUS", "Tula", "138100"], ["2975", "Marseille", "FRA", "Provence-Alpes-Côte", "798430"], ["1250", "Bulandshahr", "IND", "Uttar Pradesh", "127201"], ["3120", "Darmstadt", "DEU", "Hessen", "137776"], ["490", "Brighton", "GBR", "England", "156124"], ["3089", "Karlsruhe", "DEU", "Baden-Württemberg", "277204"], ["1291", "Hathras", "IND", "Uttar Pradesh", "113285"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the names of cities that have a population between 160000 and 900000 .	[["Qandahar"], ["Herat"], ["Amsterdam"], ["Rotterdam"], ["Haag"], ["Utrecht"], ["Eindhoven"], ["Tilburg"], ["Groningen"], ["Breda"], ["Tirana"], ["Oran"], ["Constantine"], ["Annaba"], ["Batna"], ["S\u00e9tif"], ["Huambo"], ["Dubai"], ["Abu Dhabi"], ["Sharja"], ["al-Ayn"], ["Lomas de Zamora"], ["Quilmes"], ["Almirante Brown"], ["La Plata"], ["Mar del Plata"], ["San Miguel de Tucum\u00e1n"], ["Lan\u00fas"], ["Merlo"], ["General San Mart\u00edn"], ["Salta"], ["Moreno"], ["Santa F\u00e9"], ["Avellaneda"], ["Tres de Febrero"], ["Mor\u00f3n"], ["Florencio Varela"], ["San Isidro"], ["Tigre"], ["Malvinas Argentinas"], ["Vicente L\u00f3pez"], ["Berazategui"], ["Corrientes"], ["San Miguel"], ["Bah\u00eda Blanca"], ["Esteban Echeverr\u00eda"], ["Resistencia"], ["Jos\u00e9 C. Paz"], ["Paran\u00e1"], ["Godoy Cruz"], ["Posadas"], ["Guaymall\u00e9n"], ["Santiago del Estero"], ["San Salvador de Jujuy"], ["Hurlingham"], ["Neuqu\u00e9n"], ["Gjumri"], ["Vanadzor"], ["Canberra"], ["Gold Coast"], ["Newcastle"], ["Central Coast"], ["Wollongong"], ["G\u00e4nc\u00e4"], ["Sumqayit"], ["Nassau"], ["Khulna"], ["Rajshahi"], ["Narayanganj"], ["Rangpur"], ["Mymensingh"], ["Barisal"], ["Tungi"], ["Antwerpen"], ["Gent"], ["Charleroi"], ["Li\u00e8ge"], ["Cotonou"], ["Porto-Novo"], ["La Paz"], ["El Alto"], ["Cochabamba"], ["Oruro"], ["Sucre"], ["Sarajevo"], ["Gaborone"], ["S\u00e3o Gon\u00e7alo"], ["Nova Igua\u00e7u"], ["S\u00e3o Lu\u00eds"], ["Macei\u00f3"], ["Duque de Caxias"], ["S\u00e3o Bernardo do Campo"], ["Teresina"], ["Natal"], ["Osasco"], ["Campo Grande"], ["Santo Andr\u00e9"], ["Jo\u00e3o Pessoa"], ["Jaboat\u00e3o dos Guararapes"], ["Contagem"], ["S\u00e3o Jos\u00e9 dos Campos"], ["Uberl\u00e2ndia"], ["Feira de Santana"], ["Ribeir\u00e3o Preto"], ["Sorocaba"], ["Niter\u00f3i"], ["Cuiab\u00e1"], ["Juiz de Fora"], ["Aracaju"], ["S\u00e3o Jo\u00e3o de Meriti"], ["Londrina"], ["Joinville"], ["Belford Roxo"], ["Santos"], ["Ananindeua"], ["Campos dos Goytacazes"], ["Mau\u00e1"], ["Carapicu\u00edba"], ["Olinda"], ["Campina Grande"], ["S\u00e3o Jos\u00e9 do Rio Preto"], ["Caxias do Sul"], ["Moji das Cruzes"], ["Diadema"], ["Aparecida de Goi\u00e2nia"], ["Piracicaba"], ["Cariacica"], ["Vila Velha"], ["Pelotas"], ["Bauru"], ["Porto Velho"], ["Serra"], ["Betim"], ["Jund\u00eda\u00ed"], ["Canoas"], ["Franca"], ["S\u00e3o Vicente"], ["Maring\u00e1"], ["Montes Claros"], ["An\u00e1polis"], ["Florian\u00f3polis"], ["Petr\u00f3polis"], ["Itaquaquecetuba"], ["Vit\u00f3ria"], ["Ponta Grossa"], ["Rio Branco"], ["Foz do Igua\u00e7u"], ["Macap\u00e1"], ["Ilh\u00e9us"], ["Vit\u00f3ria da Conquista"], ["Uberaba"], ["Paulista"], ["Limeira"], ["Blumenau"], ["Caruaru"], ["Santar\u00e9m"], ["Volta Redonda"], ["Novo Hamburgo"], ["Caucaia"], ["Santa Maria"], ["Cascavel"], ["Guaruj\u00e1"], ["Ribeir\u00e3o das Neves"], ["Governador Valadares"], ["Taubat\u00e9"], ["Imperatriz"], ["Gravata\u00ed"], ["Embu"], ["Mossor\u00f3"], ["V\u00e1rzea Grande"], ["Petrolina"], ["Barueri"], ["Viam\u00e3o"], ["Ipatinga"], ["Juazeiro"], ["Juazeiro do Norte"], ["Tabo\u00e3o da Serra"], ["S\u00e3o Jos\u00e9 dos Pinhais"], ["Mag\u00e9"], ["Suzano"], ["S\u00e3o Leopoldo"], ["Mar\u00edlia"], ["S\u00e3o Carlos"], ["Sumar\u00e9"], ["Presidente Prudente"], ["Divin\u00f3polis"], ["Sete Lagoas"], ["Rio Grande"], ["Itabuna"], ["Jequi\u00e9"], ["Arapiraca"], ["Colombo"], ["Americana"], ["Alvorada"], ["Araraquara"], ["Itabora\u00ed"], ["Santa B\u00e1rbara d\u00b4Oeste"], ["Nova Friburgo"], ["Jacare\u00ed"], ["Ara\u00e7atuba"], ["Barra Mansa"], ["Praia Grande"], ["Marab\u00e1"], ["Crici\u00fama"], ["Boa Vista"], ["Passo Fundo"], ["Dourados"], ["Santa Luzia"], ["Rio Claro"], ["Maracana\u00fa"], ["Guarapuava"], ["Glasgow"], ["Liverpool"], ["Edinburgh"], ["Sheffield"], ["Manchester"], ["Leeds"], ["Bristol"], ["Cardiff"], ["Coventry"], ["Leicester"], ["Bradford"], ["Belfast"], ["Nottingham"], ["Kingston upon Hull"], ["Plymouth"], ["Stoke-on-Trent"], ["Wolverhampton"], ["Derby"], ["Swansea"], ["Southampton"], ["Aberdeen"], ["Northampton"], ["Dudley"], ["Portsmouth"], ["Newcastle upon Tyne"], ["Sunderland"], ["Luton"], ["Swindon"], ["Southend-on-Sea"], ["Walsall"], ["Bournemouth"], ["Plovdiv"], ["Varna"], ["Burgas"], ["Ruse"], ["Ouagadougou"], ["Bobo-Dioulasso"], ["Bujumbura"], ["Puente Alto"], ["Vi\u00f1a del Mar"], ["Valpara\u00edso"], ["Talcahuano"], ["Antofagasta"], ["San Bernardo"], ["Temuco"], ["Concepci\u00f3n"], ["Rancagua"], ["Arica"], ["Talca"], ["Chill\u00e1n"], ["Iquique"], ["San Jos\u00e9"], ["Djibouti"], ["Santiago de los Caballeros"], ["Cuenca"], ["Machala"], ["Santo Domingo de los Colorados"], ["Portoviejo"], ["Ambato"], ["Manta"], ["Shubra al-Khayma"], ["Port Said"], ["Suez"], ["al-Mahallat al-Kubra"], ["Tanta"], ["al-Mansura"], ["Luxor"], ["Asyut"], ["Bahtim"], ["Zagazig"], ["al-Faiyum"], ["Ismailia"], ["Kafr al-Dawwar"], ["Assuan"], ["Damanhur"], ["al-Minya"], ["Bani Suwayf"], ["Qina"], ["Sawhaj"], ["San Salvador"], ["Asmara"], ["Valencia"], ["Sevilla"], ["Zaragoza"], ["M\u00e1laga"], ["Bilbao"], ["Las Palmas de Gran Canaria"], ["Murcia"], ["Palma de Mallorca"], ["Valladolid"], ["C\u00f3rdoba"], ["Vigo"], ["Alicante [Alacant]"], ["Gij\u00f3n"], ["L\u00b4Hospitalet de Llobregat"], ["Granada"], ["A Coru\u00f1a [La Coru\u00f1a]"], ["Vitoria-Gasteiz"], ["Santa Cruz de Tenerife"], ["Badalona"], ["Oviedo"], ["M\u00f3stoles"], ["Elche [Elx]"], ["Sabadell"], ["Santander"], ["Jerez de la Frontera"], ["Pamplona [Iru\u00f1a]"], ["Donostia-San Sebasti\u00e1n"], ["Cartagena"], ["Legan\u00e9s"], ["Fuenlabrada"], ["Almer\u00eda"], ["Terrassa"], ["Alcal\u00e1 de Henares"], ["Burgos"], ["Johannesburg"], ["Port Elizabeth"], ["Pretoria"], ["Inanda"], ["Durban"], ["Vanderbijlpark"], ["Kempton Park"], ["Alberton"], ["Pinetown"], ["Pietermaritzburg"], ["Benoni"], ["Randburg"], ["Umlazi"], ["Bloemfontein"], ["Vereeniging"], ["Wonderboom"], ["Roodepoort"], ["Boksburg"], ["Klerksdorp"], ["Soshanguve"], ["Newcastle"], ["East London"], ["Welkom"], ["Kimberley"], ["Uitenhage"], ["Chatsworth"], ["Mdantsane"], ["Krugersdorp"], ["Botshabelo"], ["Brakpan"], ["Witbank"], ["Oberholzer"], ["Germiston"], ["Springs"], ["Dire Dawa"], ["Cebu"], ["Zamboanga"], ["Pasig"], ["Valenzuela"], ["Las Pi\u00f1as"], ["Antipolo"], ["Taguig"], ["Cagayan de Oro"], ["Para\u00f1aque"], ["Makati"], ["Bacolod"], ["General Santos"], ["Marikina"], ["Dasmari\u00f1as"], ["Muntinlupa"], ["Iloilo"], ["Pasay"], ["Malabon"], ["San Jos\u00e9 del Monte"], ["Bacoor"], ["Iligan"], ["Calamba"], ["Mandaluyong"], ["Butuan"], ["Angeles"], ["Tarlac"], ["Mandaue"], ["Baguio"], ["Batangas"], ["Cainta"], ["San Pedro"], ["Navotas"], ["Cabanatuan"], ["San Fernando"], ["Lipa"], ["Lapu-Lapu"], ["San Pablo"], ["Bi\u00f1an"], ["Taytay"], ["Lucena"], ["Imus"], ["Olongapo"], ["Binangonan"], ["Santa Rosa"], ["Tagum"], ["Tacloban"], ["Malolos"], ["Mabalacat"], ["Cotabato"], ["Meycauayan"], ["Puerto Princesa"], ["Libreville"], ["Kutaisi"], ["Kumasi"], ["Ciudad de Guatemala"], ["Mixco"], ["Bissau"], ["Georgetown"], ["Port-au-Prince"], ["Carrefour"], ["Delmas"], ["Tegucigalpa"], ["San Pedro Sula"], ["Malang"], ["Bandar Lampung"], ["Bekasi"], ["Padang"], ["Surakarta"], ["Banjarmasin"], ["Pekan Baru"], ["Denpasar"], ["Yogyakarta"], ["Pontianak"], ["Samarinda"], ["Jambi"], ["Depok"], ["Cimahi"], ["Balikpapan"], ["Manado"], ["Mataram"], ["Pekalongan"], ["Tegal"], ["Bogor"], ["Ciputat"], ["Pondokgede"], ["Cirebon"], ["Kediri"], ["Ambon"], ["Jember"], ["Cilacap"], ["Cimanggis"], ["Pematang Siantar"], ["Purwokerto"], ["Ciomas"], ["Tasikmalaya"], ["Madiun"], ["Srinagar"], ["Agra"], ["Coimbatore"], ["Thane [Thana]"], ["Allahabad"], ["Meerut"], ["Vishakhapatnam"], ["Jabalpur"], ["Amritsar"], ["Faridabad"], ["Vijayawada"], ["Gwalior"], ["Jodhpur"], ["Nashik [Nasik]"], ["Hubli-Dharwad"], ["Solapur [Sholapur]"], ["Ranchi"], ["Bareilly"], ["Guwahati [Gauhati]"], ["Shambajinagar [Aurangabad]"], ["Cochin [Kochi]"], ["Rajkot"], ["Kota"], ["Thiruvananthapuram [Trivandrum"], ["Pimpri-Chinchwad"], ["Jalandhar [Jullundur]"], ["Gorakhpur"], ["Chandigarh"], ["Mysore"], ["Aligarh"], ["Guntur"], ["Jamshedpur"], ["Ghaziabad"], ["Warangal"], ["Raipur"], ["Moradabad"], ["Durgapur"], ["Amravati"], ["Calicut [Kozhikode]"], ["Bikaner"], ["Bhubaneswar"], ["Kolhapur"], ["Kataka [Cuttack]"], ["Ajmer"], ["Bhavnagar"], ["Tiruchirapalli"], ["Bhilai"], ["Bhiwandi"], ["Saharanpur"], ["Ulhasnagar"], ["Salem"], ["Ujjain"], ["Malegaon"], ["Jamnagar"], ["Bokaro Steel City"], ["Akola"], ["Belgaum"], ["Rajahmundry"], ["Nellore"], ["Udaipur"], ["New Bombay"], ["Bhatpara"], ["Gulbarga"], ["New Delhi"], ["Jhansi"], ["Gaya"], ["Kakinada"], ["Dhule [Dhulia]"], ["Panihati"], ["Nanded [Nander]"], ["Mangalore"], ["Dehra Dun"], ["Kamarhati"], ["Davangere"], ["Asansol"], ["Bhagalpur"], ["Bellary"], ["Barddhaman [Burdwan]"], ["Rampur"], ["Jalgaon"], ["Muzaffarpur"], ["Nizamabad"], ["Muzaffarnagar"], ["Patiala"], ["Shahjahanpur"], ["Kurnool"], ["Tiruppur [Tirupper]"], ["Rohtak"], ["South Dum Dum"], ["Mathura"], ["Chandrapur"], ["Barahanagar [Baranagar]"], ["Darbhanga"], ["Siliguri [Shiliguri]"], ["Raurkela"], ["Ambattur"], ["Panipat"], ["Firozabad"], ["Ichalkaranji"], ["Jammu"], ["Ramagundam"], ["Eluru"], ["Brahmapur"], ["Alwar"], ["Pondicherry"], ["Thanjavur"], ["Bihar Sharif"], ["Tuticorin"], ["Imphal"], ["Latur"], ["Sagar"], ["Farrukhabad-cum-Fatehgarh"], ["Sangli"], ["Parbhani"], ["Nagar Coil"], ["Bijapur"], ["Kukatpalle"], ["Bally"], ["Bhilwara"], ["Ratlam"], ["Avadi"], ["Dindigul"], ["Ahmadnagar"], ["Bilaspur"], ["Shimoga"], ["Kharagpur"], ["Mira Bhayandar"], ["Vellore"], ["Jalna"], ["Burnpur"], ["Anantapur"], ["Allappuzha [Alleppey]"], ["Tirupati"], ["Karnal"], ["Burhanpur"], ["Hisar [Hissar]"], ["Tiruvottiyur"], ["Mirzapur-cum-Vindhyachal"], ["Secunderabad"], ["Nadiad"], ["Dewas"], ["Murwara [Katni]"], ["Ganganagar"], ["Vizianagaram"], ["Mosul"], ["Irbil"], ["Kirkuk"], ["Basra"], ["al-Sulaymaniya"], ["al-Najaf"], ["Karbala"], ["al-Hilla"], ["al-Nasiriya"], ["al-Amara"], ["al-Diwaniya"], ["al-Ramadi"], ["al-Kut"], ["Ahvaz"], ["Qom"], ["Kermanshah"], ["Urmia"], ["Zahedan"], ["Rasht"], ["Hamadan"], ["Kerman"], ["Arak"], ["Ardebil"], ["Yazd"], ["Qazvin"], ["Zanjan"], ["Sanandaj"], ["Bandar-e-Abbas"], ["Khorramabad"], ["Eslamshahr"], ["Borujerd"], ["Abadan"], ["Dezful"], ["Kashan"], ["Sari"], ["Gorgan"], ["Najafabad"], ["Sabzevar"], ["Khomeynishahr"], ["Dublin"], ["Jerusalem"], ["Tel Aviv-Jaffa"], ["Haifa"], ["Rishon Le Ziyyon"], ["Beerseba"], ["Holon"], ["Palermo"], ["Genova"], ["Bologna"], ["Firenze"], ["Catania"], ["Bari"], ["Venezia"], ["Messina"], ["Verona"], ["Trieste"], ["Padova"], ["Taranto"], ["Brescia"], ["Reggio di Calabria"], ["Modena"], ["Prato"], ["Parma"], ["Cagliari"], ["Livorno"], ["Graz"], ["Linz"], ["Chiba"], ["Sakai"], ["Kumamoto"], ["Okayama"], ["Sagamihara"], ["Hamamatsu"], ["Kagoshima"], ["Funabashi"], ["Higashiosaka"], ["Hachioji"], ["Niigata"], ["Amagasaki"], ["Himeji"], ["Shizuoka"], ["Urawa"], ["Matsuyama"], ["Matsudo"], ["Kanazawa"], ["Kawaguchi"], ["Ichikawa"], ["Omiya"], ["Utsunomiya"], ["Oita"], ["Nagasaki"], ["Yokosuka"], ["Kurashiki"], ["Gifu"], ["Hirakata"], ["Nishinomiya"], ["Toyonaka"], ["Wakayama"], ["Fukuyama"], ["Fujisawa"], ["Asahikawa"], ["Machida"], ["Nara"], ["Takatsuki"], ["Iwaki"], ["Nagano"], ["Toyohashi"], ["Toyota"], ["Suita"], ["Takamatsu"], ["Koriyama"], ["Okazaki"], ["Kawagoe"], ["Tokorozawa"], ["Toyama"], ["Kochi"], ["Kashiwa"], ["Akita"], ["Miyazaki"], ["Koshigaya"], ["Naha"], ["Aomori"], ["Hakodate"], ["Akashi"], ["Yokkaichi"], ["Fukushima"], ["Morioka"], ["Maebashi"], ["Kasugai"], ["Otsu"], ["Ichihara"], ["Yao"], ["Ichinomiya"], ["Tokushima"], ["Kakogawa"], ["Ibaraki"], ["Neyagawa"], ["Shimonoseki"], ["Yamagata"], ["Fukui"], ["Hiratsuka"], ["Mito"], ["Sasebo"], ["Hachinohe"], ["Takasaki"], ["Shimizu"], ["Kurume"], ["Fuji"], ["Soka"], ["Fuchu"], ["Chigasaki"], ["Atsugi"], ["Numazu"], ["Ageo"], ["Yamato"], ["Matsumoto"], ["Kure"], ["Takarazuka"], ["Kasukabe"], ["Chofu"], ["Odawara"], ["Kofu"], ["Kushiro"], ["Kishiwada"], ["Hitachi"], ["Nagaoka"], ["Itami"], ["Uji"], ["Suzuka"], ["Hirosaki"], ["Ube"], ["Kodaira"], ["Takaoka"], ["Obihiro"], ["Tomakomai"], ["Saga"], ["Sakura"], ["Kamakura"], ["Mitaka"], ["Izumi"], ["Hino"], ["Hadano"], ["Ashikaga"], ["Tsu"], ["Sayama"], ["Yachiyo"], ["Tsukuba"], ["Sanaa"], ["Aden"], ["Taizz"], ["Hodeida"], ["al-Zarqa"], ["Irbid"], ["Novi Sad"], ["Ni\u0161"], ["Phnom Penh"], ["Garoua"], ["Calgary"], ["Toronto"], ["North York"], ["Winnipeg"], ["Edmonton"], ["Mississauga"], ["Scarborough"], ["Vancouver"], ["Etobicoke"], ["London"], ["Hamilton"], ["Ottawa"], ["Laval"], ["Surrey"], ["Brampton"], ["Windsor"], ["Saskatoon"], ["Kitchener"], ["Markham"], ["Regina"], ["Burnaby"], ["Qu\u00e9bec"], ["Qaraghandy"], ["Shymkent"], ["Taraz"], ["Astana"], ["\u00d6skemen"], ["Pavlodar"], ["Semey"], ["Aqt\u00f6be"], ["Qostanay"], ["Petropavl"], ["Oral"], ["Temirtau"], ["Mombasa"], ["Kisumu"], ["Nakuru"], ["Bangui"], ["Handan"], ["Wuxi"], ["Xuzhou"], ["Datong"], ["Yichun"], ["Benxi"], ["Luoyang"], ["Suzhou"], ["Xining"], ["Huainan"], ["Jixi"], ["Daqing"], ["Fuxin"], ["Amoy [Xiamen]"], ["Liuzhou"], ["Shantou"], ["Jinzhou"], ["Mudanjiang"], ["Yinchuan"], ["Changzhou"], ["Zhangjiakou"], ["Dandong"], ["Hegang"], ["Kaifeng"], ["Jiamusi"], ["Liaoyang"], ["Hengyang"], ["Baoding"], ["Hunjiang"], ["Xinxiang"], ["Huangshi"], ["Haikou"], ["Yantai"], ["Bengbu"], ["Xiangtan"], ["Weifang"], ["Wuhu"], ["Pingxiang"], ["Yingkou"], ["Anyang"], ["Panzhihua"], ["Pingdingshan"], ["Xiangfan"], ["Zhuzhou"], ["Jiaozuo"], ["Wenzhou"], ["Zhangjiang"], ["Zigong"], ["Shuangyashan"], ["Zaozhuang"], ["Yakeshi"], ["Yichang"], ["Zhenjiang"], ["Huaibei"], ["Qinhuangdao"], ["Guilin"], ["Liupanshui"], ["Panjin"], ["Yangquan"], ["Jinxi"], ["Liaoyuan"], ["Lianyungang"], ["Xianyang"], ["Tai\u00b4an"], ["Chifeng"], ["Shaoguan"], ["Nantong"], ["Leshan"], ["Baoji"], ["Linyi"], ["Tonghua"], ["Siping"], ["Changzhi"], ["Tengzhou"], ["Chaozhou"], ["Yangzhou"], ["Dongwan"], ["Ma\u00b4anshan"], ["Foshan"], ["Yueyang"], ["Xingtai"], ["Changde"], ["Shihezi"], ["Yancheng"], ["Jiujiang"], ["Dongying"], ["Shashi"], ["Xintai"], ["Jingdezhen"], ["Tongchuan"], ["Zhongshan"], ["Shiyan"], ["Tieli"], ["Jining"], ["Wuhai"], ["Mianyang"], ["Luzhou"], ["Zunyi"], ["Shizuishan"], ["Neijiang"], ["Tongliao"], ["Tieling"], ["Wafangdian"], ["Anqing"], ["Shaoyang"], ["Laiwu"], ["Chengde"], ["Tianshui"], ["Nanyang"], ["Cangzhou"], ["Yibin"], ["Huaiyin"], ["Dunhua"], ["Yanji"], ["Jiangmen"], ["Tongling"], ["Suihua"], ["Gongziling"], ["Xiantao"], ["Chaoyang"], ["Ganzhou"], ["Huzhou"], ["Baicheng"], ["Shangzi"], ["Yangjiang"], ["Qitaihe"], ["Gejiu"], ["Jiangyin"], ["Hebi"], ["Jiaxing"], ["Wuzhou"], ["Meihekou"], ["Xuchang"], ["Liaocheng"], ["Haicheng"], ["Qianjiang"], ["Baiyin"], ["Bei\u00b4an"], ["Yixing"], ["Laizhou"], ["Qaramay"], ["Acheng"], ["Dezhou"], ["Nanping"], ["Zhaoqing"], ["Beipiao"], ["Fengcheng"], ["Fuyu"], ["Xinyang"], ["Dongtai"], ["Yuci"], ["Honghu"], ["Ezhou"], ["Heze"], ["Daxian"], ["Linfen"], ["Tianmen"], ["Yiyang"], ["Quanzhou"], ["Rizhao"], ["Deyang"], ["Guangyuan"], ["Changshu"], ["Zhangzhou"], ["Hailar"], ["Nanchong"], ["Jiutai"], ["Zhaodong"], ["Shaoxing"], ["Fuyang"], ["Maoming"], ["Qujing"], ["Ghulja"], ["Jiaohe"], ["Puyang"], ["Huadian"], ["Jiangyou"], ["Qashqar"], ["Anshun"], ["Fuling"], ["Xinyu"], ["Hanzhong"], ["Danyang"], ["Chenzhou"], ["Xiaogan"], ["Shangqiu"], ["Zhuhai"], ["Qingyuan"], ["Aqsu"], ["Jining"], ["Xiaoshan"], ["Zaoyang"], ["Xinghua"], ["Hami"], ["Huizhou"], ["Jinmen"], ["Sanming"], ["Bishkek"], ["Osh"], ["Cartagena"], ["C\u00facuta"], ["Bucaramanga"], ["Ibagu\u00e9"], ["Pereira"], ["Santa Marta"], ["Manizales"], ["Bello"], ["Pasto"], ["Neiva"], ["Soledad"], ["Armenia"], ["Villavicencio"], ["Soacha"], ["Valledupar"], ["Monter\u00eda"], ["Itag\u00fc\u00ed"], ["Palmira"], ["Buenaventura"], ["Floridablanca"], ["Sincelejo"], ["Popay\u00e1n"], ["Barrancabermeja"], ["Pointe-Noire"], ["Lubumbashi"], ["Mbuji-Mayi"], ["Kolwezi"], ["Kisangani"], ["Kananga"], ["Likasi"], ["Bukavu"], ["Kikwit"], ["Tshikapa"], ["Matadi"], ["Mbandaka"], ["Hamhung"], ["Chongjin"], ["Nampo"], ["Sinuiju"], ["Wonsan"], ["Phyongsong"], ["Sariwon"], ["Haeju"], ["Kanggye"], ["Kimchaek"], ["Hyesan"], ["Kaesong"], ["Songnam"], ["Puchon"], ["Suwon"], ["Anyang"], ["Chonju"], ["Chongju"], ["Koyang"], ["Ansan"], ["Pohang"], ["Chang-won"], ["Masan"], ["Kwangmyong"], ["Chonan"], ["Chinju"], ["Iksan"], ["Pyongtaek"], ["Kumi"], ["Uijongbu"], ["Kyongju"], ["Kunsan"], ["Cheju"], ["Kimhae"], ["Sunchon"], ["Mokpo"], ["Yong-in"], ["Wonju"], ["Kunpo"], ["Chunchon"], ["Namyangju"], ["Kangnung"], ["Chungju"], ["Andong"], ["Yosu"], ["Kyongsan"], ["Paju"], ["Yangsan"], ["Athenai"], ["Thessaloniki"], ["Pireus"], ["Zagreb"], ["Split"], ["Rijeka"], ["Santiago de Cuba"], ["Camag\u00fcey"], ["Holgu\u00edn"], ["Santa Clara"], ["Guant\u00e1namo"], ["Nicosia"], ["Vientiane"], ["Riga"], ["Maseru"], ["Tripoli"], ["Monrovia"], ["Bengasi"], ["Vilnius"], ["Kaunas"], ["Klaipeda"], ["El-Aai\u00fan"], ["Macao"], ["Antananarivo"], ["Skopje"], ["Blantyre"], ["Lilongwe"], ["Ipoh"], ["Johor Baharu"], ["Petaling Jaya"], ["Kelang"], ["Kuala Terengganu"], ["Pinang"], ["Kota Bharu"], ["Kuantan"], ["Taiping"], ["Seremban"], ["Bamako"], ["Rabat"], ["Marrakech"], ["F\u00e8s"], ["Tanger"], ["Sal\u00e9"], ["Mekn\u00e8s"], ["Oujda"], ["K\u00e9nitra"], ["T\u00e9touan"], ["Safi"], ["Nouakchott"], ["Naucalpan de Ju\u00e1rez"], ["Mexicali"], ["Culiac\u00e1n"], ["Acapulco de Ju\u00e1rez"], ["Tlalnepantla de Baz"], ["M\u00e9rida"], ["Chihuahua"], ["San Luis Potos\u00ed"], ["Guadalupe"], ["Toluca"], ["Aguascalientes"], ["Quer\u00e9taro"], ["Morelia"], ["Hermosillo"], ["Saltillo"], ["Torre\u00f3n"], ["Centro [Villahermosa]"], ["San Nicol\u00e1s de los Garza"], ["Durango"], ["Chimalhuac\u00e1n"], ["Tlaquepaque"], ["Atizap\u00e1n de Zaragoza"], ["Veracruz"], ["Cuautitl\u00e1n Izcalli"], ["Irapuato"], ["Tuxtla Guti\u00e9rrez"], ["Tultitl\u00e1n"], ["Reynosa"], ["Benito Ju\u00e1rez"], ["Matamoros"], ["Xalapa"], ["Celaya"], ["Mazatl\u00e1n"], ["Ensenada"], ["Ahome"], ["Cajeme"], ["Cuernavaca"], ["Tonal\u00e1"], ["Valle de Chalco Solidaridad"], ["Nuevo Laredo"], ["Tepic"], ["Tampico"], ["Ixtapaluca"], ["Apodaca"], ["Guasave"], ["G\u00f3mez Palacio"], ["Tapachula"], ["Nicol\u00e1s Romero"], ["Coatzacoalcos"], ["Uruapan"], ["Victoria"], ["Oaxaca de Ju\u00e1rez"], ["Coacalco de Berrioz\u00e1bal"], ["Pachuca de Soto"], ["General Escobedo"], ["Salamanca"], ["Santa Catarina"], ["Tehuac\u00e1n"], ["Chalco"], ["C\u00e1rdenas"], ["Campeche"], ["La Paz"], ["Oth\u00f3n P. Blanco [Chetumal]"], ["Texcoco"], ["La Paz"], ["Metepec"], ["Monclova"], ["Huixquilucan"], ["Chilpancingo de los Bravo"], ["Puerto Vallarta"], ["Fresnillo"], ["Ciudad Madero"], ["Soledad de Graciano S\u00e1nchez"], ["San Juan del R\u00edo"], ["San Felipe del Progreso"], ["C\u00f3rdoba"], ["Tec\u00e1mac"], ["Ocosingo"], ["Carmen"], ["L\u00e1zaro C\u00e1rdenas"], ["Jiutepec"], ["Papantla"], ["Comalcalco"], ["Zamora"], ["Chisinau"], ["Tiraspol"], ["Ulan Bator"], ["Matola"], ["Beira"], ["Nampula"], ["Chimoio"], ["Mandalay"], ["Moulmein [Mawlamyine]"], ["Pegu [Bago]"], ["Bassein [Pathein]"], ["Windhoek"], ["Kathmandu"], ["Niamey"], ["Ogbomosho"], ["Kano"], ["Oshogbo"], ["Ilorin"], ["Abeokuta"], ["Port Harcourt"], ["Zaria"], ["Ilesha"], ["Onitsha"], ["Iwo"], ["Ado-Ekiti"], ["Abuja"], ["Kaduna"], ["Mushin"], ["Maiduguri"], ["Enugu"], ["Ede"], ["Aba"], ["Ife"], ["Ila"], ["Oyo"], ["Ikerre"], ["Benin City"], ["Iseyin"], ["Katsina"], ["Jos"], ["Sokoto"], ["Ilobu"], ["Offa"], ["Ikorodu"], ["Ilawe-Ekiti"], ["Owo"], ["Ikirun"], ["Shaki"], ["Calabar"], ["Ondo"], ["Akure"], ["Oslo"], ["Bergen"], ["Bouak\u00e9"], ["Quetta"], ["Islamabad"], ["Sargodha"], ["Sialkot"], ["Bahawalpur"], ["Sukkur"], ["Jhang"], ["Sheikhupura"], ["Larkana"], ["Gujrat"], ["Mardan"], ["Kasur"], ["Rahim Yar Khan"], ["Sahiwal"], ["Okara"], ["Wah"], ["Dera Ghazi Khan"], ["Mirpur Khas"], ["Nawabshah"], ["Mingora"], ["Chiniot"], ["Ciudad de Panam\u00e1"], ["San Miguelito"], ["Port Moresby"], ["Asunci\u00f3n"], ["Arequipa"], ["Trujillo"], ["Chiclayo"], ["Callao"], ["Iquitos"], ["Chimbote"], ["Huancayo"], ["Piura"], ["Cusco"], ["Pucallpa"], ["Tacna"], ["Ica"], ["Lisboa"], ["Porto"], ["San Juan"], ["Bayam\u00f3n"], ["Ponce"], ["Carolina"], ["L\u00f3dz"], ["Krak\u00f3w"], ["Wroclaw"], ["Poznan"], ["Gdansk"], ["Szczecin"], ["Bydgoszcz"], ["Lublin"], ["Katowice"], ["Bialystok"], ["Czestochowa"], ["Gdynia"], ["Sosnowiec"], ["Radom"], ["Kielce"], ["Gliwice"], ["Torun"], ["Bytom"], ["Zabrze"], ["Bielsko-Biala"], ["Olsztyn"], ["Rzesz\u00f3w"], ["Doha"], ["Marseille"], ["Lyon"], ["Toulouse"], ["Nice"], ["Nantes"], ["Strasbourg"], ["Montpellier"], ["Bordeaux"], ["Rennes"], ["Le Havre"], ["Reims"], ["Lille"], ["St-\u00c9tienne"], ["Toulon"], ["Iasi"], ["Constanta"], ["Cluj-Napoca"], ["Galati"], ["Timisoara"], ["Brasov"], ["Craiova"], ["Ploiesti"], ["Braila"], ["Oradea"], ["Bacau"], ["Pitesti"], ["Arad"], ["Sibiu"], ["T\u00e2rgu Mures"], ["Kigali"], ["Stockholm"], ["Gothenburg [G\u00f6teborg]"], ["Malm\u00f6"], ["Uppsala"], ["Frankfurt am Main"], ["Essen"], ["Dortmund"], ["Stuttgart"], ["D\u00fcsseldorf"], ["Bremen"], ["Duisburg"], ["Hannover"], ["Leipzig"], ["N\u00fcrnberg"], ["Dresden"], ["Bochum"], ["Wuppertal"], ["Bielefeld"], ["Mannheim"], ["Bonn"], ["Gelsenkirchen"], ["Karlsruhe"], ["Wiesbaden"], ["M\u00fcnster"], ["M\u00f6nchengladbach"], ["Chemnitz"], ["Augsburg"], ["Halle/Saale"], ["Braunschweig"], ["Aachen"], ["Krefeld"], ["Magdeburg"], ["Kiel"], ["Oberhausen"], ["L\u00fcbeck"], ["Hagen"], ["Rostock"], ["Freiburg im Breisgau"], ["Erfurt"], ["Kassel"], ["Saarbr\u00fccken"], ["Mainz"], ["Hamm"], ["Herne"], ["M\u00fclheim an der Ruhr"], ["Solingen"], ["Osnabr\u00fcck"], ["Ludwigshafen am Rhein"], ["Leverkusen"], ["Ndola"], ["Kitwe"], ["Medina"], ["al-Dammam"], ["al-Taif"], ["Tabuk"], ["Burayda"], ["al-Hufuf"], ["al-Mubarraz"], ["Khamis Mushayt"], ["Hail"], ["Pikine"], ["Dakar"], ["Thi\u00e8s"], ["Kaolack"], ["Ziguinchor"], ["Freetown"], ["Bratislava"], ["Ko\u0161ice"], ["Ljubljana"], ["Colombo"], ["Dehiwala"], ["Moratuwa"], ["Sharq al-Nil"], ["Port Sudan"], ["Kassala"], ["Obeid"], ["Nyala"], ["Wad Madani"], ["al-Qadarif"], ["Kusti"], ["Helsinki [Helsingfors]"], ["Espoo"], ["Tampere"], ["Vantaa"], ["Turku [\u00c5bo]"], ["Z\u00fcrich"], ["Geneve"], ["Basel"], ["Hims"], ["Hama"], ["Latakia"], ["Dushanbe"], ["Khujand"], ["Tainan"], ["Panchiao"], ["Chungho"], ["Keelung [Chilung]"], ["Sanchung"], ["Hsinchuang"], ["Hsinchu"], ["Chungli"], ["Fengshan"], ["Taoyuan"], ["Chiayi"], ["Hsintien"], ["Changhwa"], ["Yungho"], ["Tucheng"], ["Pingtung"], ["Yungkang"], ["Pingchen"], ["Tali"], ["Taiping"], ["Pate"], ["Fengyuan"], ["Luchou"], ["Dodoma"], ["Mwanza"], ["K\u00f8benhavn"], ["\u00c5rhus"], ["Odense"], ["Aalborg"], ["Nonthaburi"], ["Nakhon Ratchasima"], ["Chiang Mai"], ["Lom\u00e9"], ["N\u00b4Djam\u00e9na"], ["Brno"], ["Ostrava"], ["Plzen"], ["Tunis"], ["Sfax"], ["Ariana"], ["Ettadhamen"], ["Gaziantep"], ["Konya"], ["Mersin [I\u00e7el]"], ["Antalya"], ["Diyarbakir"], ["Kayseri"], ["Eskisehir"], ["Sanliurfa"], ["Samsun"], ["Malatya"], ["Gebze"], ["Denizli"], ["Sivas"], ["Erzurum"], ["Tarsus"], ["Kahramanmaras"], ["El\u00e2zig"], ["Van"], ["Sultanbeyli"], ["Izmit [Kocaeli]"], ["Manisa"], ["Batman"], ["Balikesir"], ["Sakarya [Adapazari]"], ["Ashgabat"], ["Ch\u00e4rjew"], ["Kampala"], ["Zaporizzja"], ["Lviv"], ["Kryvyi Rig"], ["Mykolajiv"], ["Mariupol"], ["Lugansk"], ["Vinnytsja"], ["Makijivka"], ["Herson"], ["Sevastopol"], ["Simferopol"], ["Pultava [Poltava]"], ["T\u0161ernigiv"], ["T\u0161erkasy"], ["Gorlivka"], ["Zytomyr"], ["Sumy"], ["Dniprodzerzynsk"], ["Kirovograd"], ["Hmelnytskyi"], ["T\u0161ernivtsi"], ["Rivne"], ["Krement\u0161uk"], ["Ivano-Frankivsk"], ["Ternopil"], ["Lutsk"], ["Bila Tserkva"], ["Kramatorsk"], ["Melitopol"], ["Kert\u0161"], ["Debrecen"], ["Miskolc"], ["Auckland"], ["Christchurch"], ["Manukau"], ["North Shore"], ["Waitakere"], ["Wellington"], ["Namangan"], ["Samarkand"], ["Andijon"], ["Buhoro"], ["Karsi"], ["Nukus"], ["K\u00fckon"], ["Fargona"], ["Gomel"], ["Mogiljov"], ["Vitebsk"], ["Grodno"], ["Brest"], ["Bobruisk"], ["Baranovit\u0161i"], ["Barquisimeto"], ["Valencia"], ["Ciudad Guayana"], ["Petare"], ["Maracay"], ["Barcelona"], ["Matur\u00edn"], ["San Crist\u00f3bal"], ["Ciudad Bol\u00edvar"], ["Cuman\u00e1"], ["M\u00e9rida"], ["Cabimas"], ["Barinas"], ["Turmero"], ["Baruta"], ["Puerto Cabello"], ["Santa Ana de Coro"], ["Los Teques"], ["Punto Fijo"], ["Guarenas"], ["Krasnojarsk"], ["Saratov"], ["Toljatti"], ["Uljanovsk"], ["Izevsk"], ["Krasnodar"], ["Jaroslavl"], ["Habarovsk"], ["Vladivostok"], ["Irkutsk"], ["Barnaul"], ["Novokuznetsk"], ["Penza"], ["Rjazan"], ["Orenburg"], ["Lipetsk"], ["Nabereznyje T\u0161elny"], ["Tula"], ["Tjumen"], ["Kemerovo"], ["Astrahan"], ["Tomsk"], ["Kirov"], ["Ivanovo"], ["T\u0161eboksary"], ["Brjansk"], ["Tver"], ["Kursk"], ["Magnitogorsk"], ["Kaliningrad"], ["Nizni Tagil"], ["Murmansk"], ["Ulan-Ude"], ["Kurgan"], ["Arkangeli"], ["Sot\u0161i"], ["Smolensk"], ["Orjol"], ["Stavropol"], ["Belgorod"], ["Kaluga"], ["Vladimir"], ["Mahat\u0161kala"], ["T\u0161erepovets"], ["Saransk"], ["Tambov"], ["Vladikavkaz"], ["T\u0161ita"], ["Vologda"], ["Veliki Novgorod"], ["Komsomolsk-na-Amure"], ["Kostroma"], ["Volzski"], ["Taganrog"], ["Petroskoi"], ["Bratsk"], ["Dzerzinsk"], ["Surgut"], ["Orsk"], ["Sterlitamak"], ["Angarsk"], ["Jo\u0161kar-Ola"], ["Rybinsk"], ["Prokopjevsk"], ["Niznevartovsk"], ["Nalt\u0161ik"], ["Syktyvkar"], ["Severodvinsk"], ["Bijsk"], ["Niznekamsk"], ["Blagove\u0161t\u0161ensk"], ["\u0160ahty"], ["Staryi Oskol"], ["Zelenograd"], ["Balakovo"], ["Novorossijsk"], ["Pihkova"], ["Zlatoust"], ["Jakutsk"], ["Podolsk"], ["Petropavlovsk-Kamt\u0161atski"], ["Kamensk-Uralski"], ["Engels"], ["Syzran"], ["Grozny"], ["Novot\u0161erkassk"], ["Berezniki"], ["Juzno-Sahalinsk"], ["Volgodonsk"], ["Abakan"], ["Maikop"], ["Miass"], ["Armavir"], ["Ljubertsy"], ["Rubtsovsk"], ["Haiphong"], ["Da Nang"], ["Bi\u00ean Hoa"], ["Nha Trang"], ["Hue"], ["Can Tho"], ["Cam Pha"], ["Nam Dinh"], ["Quy Nhon"], ["Tallinn"], ["San Jose"], ["Indianapolis"], ["San Francisco"], ["Jacksonville"], ["Columbus"], ["Austin"], ["Baltimore"], ["Memphis"], ["Milwaukee"], ["Boston"], ["Washington"], ["Nashville-Davidson"], ["El Paso"], ["Seattle"], ["Denver"], ["Charlotte"], ["Fort Worth"], ["Portland"], ["Oklahoma City"], ["Tucson"], ["New Orleans"], ["Las Vegas"], ["Cleveland"], ["Long Beach"], ["Albuquerque"], ["Kansas City"], ["Fresno"], ["Virginia Beach"], ["Atlanta"], ["Sacramento"], ["Oakland"], ["Mesa"], ["Tulsa"], ["Omaha"], ["Minneapolis"], ["Honolulu"], ["Miami"], ["Colorado Springs"], ["Saint Louis"], ["Wichita"], ["Santa Ana"], ["Pittsburgh"], ["Arlington"], ["Cincinnati"], ["Anaheim"], ["Toledo"], ["Tampa"], ["Buffalo"], ["Saint Paul"], ["Corpus Christi"], ["Aurora"], ["Raleigh"], ["Newark"], ["Lexington-Fayette"], ["Anchorage"], ["Louisville"], ["Riverside"], ["Saint Petersburg"], ["Bakersfield"], ["Stockton"], ["Birmingham"], ["Jersey City"], ["Norfolk"], ["Baton Rouge"], ["Hialeah"], ["Lincoln"], ["Greensboro"], ["Plano"], ["Rochester"], ["Glendale"], ["Akron"], ["Garland"], ["Madison"], ["Fort Wayne"], ["Fremont"], ["Scottsdale"], ["Montgomery"], ["Shreveport"], ["Augusta-Richmond County"], ["Lubbock"], ["Chesapeake"], ["Mobile"], ["Des Moines"], ["Grand Rapids"], ["Richmond"], ["Yonkers"], ["Spokane"], ["Glendale"], ["Tacoma"], ["Irving"], ["Huntington Beach"], ["Modesto"], ["Durham"], ["Columbus"], ["Orlando"], ["Boise City"], ["Winston-Salem"], ["San Bernardino"], ["Jackson"], ["Little Rock"], ["Salt Lake City"], ["Reno"], ["Newport News"], ["Chandler"], ["Laredo"], ["Henderson"], ["Arlington"], ["Knoxville"], ["Amarillo"], ["Providence"], ["Chula Vista"], ["Worcester"], ["Oxnard"], ["Dayton"], ["Garden Grove"], ["Oceanside"], ["Bulawayo"], ["Chitungwiza"], ["Mount Darwin"], ["Gaza"]]	2,048	Answer:
Table countrylanguage: [["CountryCode", "Language", "IsOfficial", "Percentage"], ["GEO", "Azerbaijani", "F", "5.5"], ["AUS", "Vietnamese", "F", "0.8"], ["RUS", "Kazakh", "F", "0.4"], ["AZE", "Azerbaijani", "T", "89.0"], ["AUS", "Italian", "F", "2.2"], ["GEO", "Russian", "F", "8.8"], ["NCL", "Malenasian Languages", "F", "45.4"], ["SLB", "Malenasian Languages", "F", "85.6"], ["BEL", "French", "T", "32.6"], ["TUN", "Arabic-French", "F", "26.3"], ["USA", "Portuguese", "F", "0.2"], ["AUS", "German", "F", "0.6"], ["IRN", "Azerbaijani", "F", "16.8"], ["MNG", "Kazakh", "F", "5.9"], ["TUR", "Turkish", "T", "87.6"], ["BEL", "Turkish", "F", "0.9"], ["ARM", "Azerbaijani", "F", "2.6"], ["RUS", "Russian", "T", "86.6"], ["RUS", "Ukrainian", "F", "1.3"], ["MNP", "Philippene Languages", "F", "34.1"], ["UMI", "English", "T", "0.0"], ["AUS", "English", "T", "81.2"], ["IRN", "Turkmenian", "F", "1.6"], ["TUN", "Arabic", "T", "69.9"], ["GUM", "Philippene Languages", "F", "19.7"], ["USA", "Vietnamese", "F", "0.2"], ["TON", "English", "T", "0.0"], ["USA", "French", "F", "0.7"], ["EST", "Russian", "F", "27.8"], ["LAO", "Thai", "F", "7.8"], ["TUN", "Arabic-French-English", "F", "3.2"], ["USA", "Italian", "F", "0.6"], ["AFG", "Turkmenian", "F", "1.9"], ["USA", "German", "F", "0.7"], ["SLB", "Papuan Languages", "F", "8.6"], ["USA", "Chinese", "F", "0.6"], ["AUS", "Canton Chinese", "F", "1.1"], ["GUF", "Indian Languages", "F", "1.9"], ["NAM", "German", "F", "0.9"], ["AUS", "Serbo-Croatian", "F", "0.6"], ["DEU", "Southern Slavic Languages", "F", "1.4"], ["IRQ", "Azerbaijani", "F", "1.7"], ["RUS", "Belorussian", "F", "0.3"], ["FJI", "Fijian", "T", "50.8"], ["USA", "Spanish", "F", "7.5"], ["BEL", "Italian", "F", "2.4"], ["RUS", "Chechen", "F", "0.6"], ["FRA", "Portuguese", "F", "1.2"], ["EST", "Ukrainian", "F", "2.8"], ["ZAF", "English", "T", "8.5"], ["FRA", "French", "T", "93.6"], ["DEU", "Turkish", "F", "2.6"], ["GUM", "English", "T", "37.5"], ["DEU", "Italian", "F", "0.7"], ["AUS", "Arabic", "F", "1.0"], ["HUN", "Hungarian", "T", "98.5"], ["BRA", "Portuguese", "T", "97.5"], ["USA", "English", "T", "86.2"], ["ISR", "Russian", "F", "8.9"], ["YUG", "Albaniana", "F", "16.5"], ["BEL", "Arabic", "F", "1.6"], ["GEO", "Armenian", "F", "6.8"], ["TMP", "Portuguese", "T", "0.0"], ["YUG", "Slovak", "F", "0.7"], ["AUS", "Greek", "F", "1.6"], ["FRO", "Danish", "T", "0.0"], ["UKR", "Russian", "F", "32.9"], ["KAZ", "Russian", "F", "34.7"], ["NAM", "Afrikaans", "F", "9.5"], ["CPV", "Portuguese", "T", "0.0"], ["RUS", "Tatar", "F", "3.2"], ["YUG", "Hungarian", "F", "3.4"], ["SWE", "Southern Slavic Languages", "F", "1.3"], ["JPN", "Philippene Languages", "F", "0.1"], ["FRO", "Faroese", "T", "100.0"], ["AFG", "Uzbek", "F", "8.8"], ["SVK", "Ukrainian and Russian", "F", "0.6"], ["HUN", "Slovak", "F", "0.1"], ["ABW", "English", "F", "9.5"], ["CAN", "Portuguese", "F", "0.7"], ["USA", "Tagalog", "F", "0.4"], ["HRV", "Slovene", "F", "0.0"], ["YUG", "Macedonian", "F", "0.5"], ["BEL", "German", "T", "1.0"], ["BOL", "Spanish", "T", "87.7"], ["ARE", "Arabic", "T", "42.0"], ["FRA", "Italian", "F", "0.4"], ["TKM", "Turkmenian", "T", "76.7"], ["KGZ", "Kazakh", "F", "0.8"], ["TUV", "English", "T", "0.0"], ["POL", "Ukrainian", "F", "0.6"], ["SVN", "Slovene", "T", "87.9"], ["CAN", "Ukrainian", "F", "0.6"], ["ZAF", "Swazi", "F", "2.5"], ["HTI", "French", "T", "0.0"], ["NRU", "Chinese", "F", "8.5"], ["FRA", "Arabic", "F", "2.5"], ["KAZ", "Kazakh", "T", "46.0"], ["FRA", "Turkish", "F", "0.4"], ["KHM", "Vietnamese", "F", "5.5"], ["RUS", "Chuvash", "F", "0.9"], ["KNA", "Creole English", "F", "100.0"], ["GLP", "French", "T", "0.0"], ["HUN", "Romanian", "F", "0.1"], ["HND", "Creole English", "F", "0.2"], ["GIB", "English", "T", "88.9"], ["THA", "Lao", "F", "26.9"], ["HUN", "German", "F", "0.4"], ["THA", "Thai", "T", "52.6"], ["UKR", "Romanian", "F", "0.7"], ["NRU", "English", "T", "7.5"], ["BHS", "Creole English", "F", "89.7"], ["USA", "Japanese", "F", "0.2"], ["PLW", "Philippene Languages", "F", "9.2"], ["COM", "Comorian-Swahili", "F", "0.5"], ["TUR", "Arabic", "F", "1.4"], ["ITA", "French", "F", "0.5"], ["PAK", "Urdu", "T", "7.6"], ["PER", "Spanish", "T", "79.8"], ["TJK", "Russian", "F", "9.7"], ["MDG", "Malagasy", "T", "98.9"], ["ITA", "German", "F", "0.5"], ["AND", "Spanish", "F", "44.6"], ["QAT", "Arabic", "T", "40.7"], ["MYT", "French", "T", "20.3"], ["ITA", "Slovene", "F", "0.2"], ["HKG", "English", "T", "2.2"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Which language is spoken by the largest number of countries?	[["English"]]	2,048	Answer:
Table countrylanguage: [["CountryCode", "Language", "IsOfficial", "Percentage"], ["AUS", "Vietnamese", "F", "0.8"], ["FJI", "Fijian", "T", "50.8"], ["GUM", "English", "T", "37.5"], ["AUS", "Italian", "F", "2.2"], ["GEO", "Azerbaijani", "F", "5.5"], ["AUS", "German", "F", "0.6"], ["RUS", "Kazakh", "F", "0.4"], ["BEL", "Turkish", "F", "0.9"], ["USA", "Vietnamese", "F", "0.2"], ["BEL", "French", "T", "32.6"], ["AZE", "Azerbaijani", "T", "89.0"], ["AUS", "Serbo-Croatian", "F", "0.6"], ["ARM", "Azerbaijani", "F", "2.6"], ["USA", "Portuguese", "F", "0.2"], ["USA", "Italian", "F", "0.6"], ["YUG", "Albaniana", "F", "16.5"], ["GUM", "Philippene Languages", "F", "19.7"], ["TON", "English", "T", "0.0"], ["IRN", "Azerbaijani", "F", "16.8"], ["UMI", "English", "T", "0.0"], ["NAM", "German", "F", "0.9"], ["USA", "German", "F", "0.7"], ["USA", "Chinese", "F", "0.6"], ["NCL", "Malenasian Languages", "F", "45.4"], ["CPV", "Portuguese", "T", "0.0"], ["BEL", "Italian", "F", "2.4"], ["YUG", "Slovak", "F", "0.7"], ["IRN", "Turkmenian", "F", "1.6"], ["USA", "French", "F", "0.7"], ["KNA", "Creole English", "F", "100.0"], ["PER", "Spanish", "T", "79.8"], ["TUN", "Arabic-French", "F", "26.3"], ["MNP", "Philippene Languages", "F", "34.1"], ["SLB", "Malenasian Languages", "F", "85.6"], ["ZAF", "English", "T", "8.5"], ["MNG", "Kazakh", "F", "5.9"], ["CAN", "Ukrainian", "F", "0.6"], ["LAO", "Thai", "F", "7.8"], ["YUG", "Macedonian", "F", "0.5"], ["FRO", "Danish", "T", "0.0"], ["BRA", "Portuguese", "T", "97.5"], ["CAN", "Portuguese", "F", "0.7"], ["TMP", "Portuguese", "T", "0.0"], ["RUS", "Chechen", "F", "0.6"], ["RUS", "Ukrainian", "F", "1.3"], ["THA", "Thai", "T", "52.6"], ["AUS", "English", "T", "81.2"], ["DEU", "Italian", "F", "0.7"], ["USA", "Spanish", "F", "7.5"], ["YUG", "Serbo-Croatian", "T", "75.2"], ["SLB", "Papuan Languages", "F", "8.6"], ["GLP", "French", "T", "0.0"], ["POL", "Ukrainian", "F", "0.6"], ["HRV", "Slovene", "F", "0.0"], ["HUN", "Slovak", "F", "0.1"], ["FRA", "Italian", "F", "0.4"], ["TUN", "Arabic-French-English", "F", "3.2"], ["FRA", "Portuguese", "F", "1.2"], ["NAM", "Afrikaans", "F", "9.5"], ["CZE", "German", "F", "0.5"], ["SVK", "Ukrainian and Russian", "F", "0.6"], ["TUR", "Turkish", "T", "87.6"], ["HTI", "French", "T", "0.0"], ["AFG", "Turkmenian", "F", "1.9"], ["DEU", "Southern Slavic Languages", "F", "1.4"], ["GRD", "Creole English", "F", "100.0"], ["ITA", "German", "F", "0.5"], ["TTO", "Creole English", "F", "2.9"], ["KGZ", "Kazakh", "F", "0.8"], ["RUS", "Belorussian", "F", "0.3"], ["HUN", "German", "F", "0.4"], ["HND", "Creole English", "F", "0.2"], ["KHM", "Vietnamese", "F", "5.5"], ["YUG", "Hungarian", "F", "3.4"], ["COM", "Comorian-Swahili", "F", "0.5"], ["USA", "Korean", "F", "0.3"], ["USA", "Tagalog", "F", "0.4"], ["USA", "Japanese", "F", "0.2"], ["TUV", "English", "T", "0.0"], ["FRA", "Turkish", "F", "0.4"], ["TUN", "Arabic", "T", "69.9"], ["EST", "Ukrainian", "F", "2.8"], ["GEO", "Russian", "F", "8.8"], ["BEL", "German", "T", "1.0"], ["DEU", "Turkish", "F", "2.6"], ["IRQ", "Azerbaijani", "F", "1.7"], ["ZAF", "Swazi", "F", "2.5"], ["ITA", "French", "F", "0.5"], ["EST", "Russian", "F", "27.8"], ["SWE", "Southern Slavic Languages", "F", "1.3"], ["FRA", "Arabic", "F", "2.5"], ["RUS", "Russian", "T", "86.6"], ["AUT", "Slovene", "F", "0.4"], ["BEL", "Arabic", "F", "1.6"], ["CHE", "German", "T", "63.6"], ["BHS", "Creole English", "F", "89.7"], ["ABW", "English", "F", "9.5"], ["FRO", "Faroese", "T", "100.0"], ["CAN", "Punjabi", "F", "0.7"], ["LIE", "Italian", "F", "2.5"], ["QAT", "Urdu", "F", "0.0"], ["MUS", "Creole French", "F", "70.6"], ["AUS", "Arabic", "F", "1.0"], ["MTQ", "French", "T", "0.0"], ["NRU", "Chinese", "F", "8.5"], ["FLK", "English", "T", "0.0"], ["NRU", "English", "T", "7.5"], ["PAN", "Creole English", "F", "14.0"], ["ITA", "Slovene", "F", "0.2"], ["PAK", "Urdu", "T", "7.6"], ["ATG", "Creole English", "F", "95.7"], ["ZWE", "English", "T", "2.2"], ["LIE", "Turkish", "F", "2.5"], ["NIU", "English", "T", "0.0"], ["FRA", "French", "T", "93.6"], ["UKR", "Russian", "F", "32.9"], ["MDG", "French", "T", "0.0"], ["KAZ", "Russian", "F", "34.7"], ["NIC", "Creole English", "F", "0.5"], ["USA", "English", "T", "86.2"], ["RUS", "Mordva", "F", "0.5"], ["BRN", "Malay-English", "F", "28.8"], ["GUM", "Japanese", "F", "2.0"], ["CAN", "Chinese", "F", "2.5"], ["REU", "Creole French", "F", "91.5"], ["CUB", "Spanish", "T", "100.0"], ["HUN", "Hungarian", "T", "98.5"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Give the language that is spoken in the most countries.	[["English"]]	2,048	Answer:
Table countrylanguage: [["CountryCode", "Language", "IsOfficial", "Percentage"], ["GEO", "Azerbaijani", "F", "5.5"], ["AUS", "Vietnamese", "F", "0.8"], ["RUS", "Kazakh", "F", "0.4"], ["SLB", "Malenasian Languages", "F", "85.6"], ["AZE", "Azerbaijani", "T", "89.0"], ["AUS", "Italian", "F", "2.2"], ["BEL", "Turkish", "F", "0.9"], ["AUS", "German", "F", "0.6"], ["NCL", "Malenasian Languages", "F", "45.4"], ["USA", "Italian", "F", "0.6"], ["MNG", "Kazakh", "F", "5.9"], ["USA", "Portuguese", "F", "0.2"], ["UMI", "English", "T", "0.0"], ["AUS", "Serbo-Croatian", "F", "0.6"], ["ARM", "Azerbaijani", "F", "2.6"], ["TMP", "Portuguese", "T", "0.0"], ["BRA", "Portuguese", "T", "97.5"], ["GUM", "English", "T", "37.5"], ["TON", "English", "T", "0.0"], ["USA", "French", "F", "0.7"], ["RUS", "Chechen", "F", "0.6"], ["MNP", "Philippene Languages", "F", "34.1"], ["GEO", "Russian", "F", "8.8"], ["USA", "German", "F", "0.7"], ["GUM", "Philippene Languages", "F", "19.7"], ["TUN", "Arabic-French", "F", "26.3"], ["DEU", "Southern Slavic Languages", "F", "1.4"], ["KNA", "Creole English", "F", "100.0"], ["NAM", "German", "F", "0.9"], ["TUR", "Turkish", "T", "87.6"], ["SLB", "Papuan Languages", "F", "8.6"], ["SWE", "Southern Slavic Languages", "F", "1.3"], ["YUG", "Macedonian", "F", "0.5"], ["AFG", "Turkmenian", "F", "1.9"], ["IRN", "Azerbaijani", "F", "16.8"], ["USA", "Vietnamese", "F", "0.2"], ["LIE", "Italian", "F", "2.5"], ["PER", "Spanish", "T", "79.8"], ["AUS", "English", "T", "81.2"], ["RUS", "Russian", "T", "86.6"], ["YUG", "Slovak", "F", "0.7"], ["EST", "Russian", "F", "27.8"], ["LIE", "Turkish", "F", "2.5"], ["RUS", "Ukrainian", "F", "1.3"], ["POL", "Ukrainian", "F", "0.6"], ["DEU", "Italian", "F", "0.7"], ["TUN", "Arabic", "T", "69.9"], ["IRN", "Turkmenian", "F", "1.6"], ["USA", "Chinese", "F", "0.6"], ["HRV", "Slovene", "F", "0.0"], ["FRO", "Danish", "T", "0.0"], ["HND", "Creole English", "F", "0.2"], ["CAN", "Portuguese", "F", "0.7"], ["FRA", "Italian", "F", "0.4"], ["TKM", "Turkmenian", "T", "76.7"], ["ZAF", "English", "T", "8.5"], ["YUG", "Albaniana", "F", "16.5"], ["BEL", "Italian", "F", "2.4"], ["SVK", "Ukrainian and Russian", "F", "0.6"], ["CPV", "Portuguese", "T", "0.0"], ["NAM", "Afrikaans", "F", "9.5"], ["GUF", "Indian Languages", "F", "1.9"], ["USA", "Spanish", "F", "7.5"], ["BEL", "French", "T", "32.6"], ["KGZ", "Kazakh", "F", "0.8"], ["TUN", "Arabic-French-English", "F", "3.2"], ["QAT", "Urdu", "F", "0.0"], ["EST", "Ukrainian", "F", "2.8"], ["GRD", "Creole English", "F", "100.0"], ["RUS", "Belorussian", "F", "0.3"], ["HTI", "French", "T", "0.0"], ["IRQ", "Azerbaijani", "F", "1.7"], ["FJI", "Fijian", "T", "50.8"], ["FRA", "Turkish", "F", "0.4"], ["LAO", "Thai", "F", "7.8"], ["CZE", "German", "F", "0.5"], ["FRO", "Faroese", "T", "100.0"], ["COM", "Comorian-Swahili", "F", "0.5"], ["BHS", "Creole English", "F", "89.7"], ["NRU", "English", "T", "7.5"], ["HUN", "Hungarian", "T", "98.5"], ["ZAF", "Swazi", "F", "2.5"], ["YUG", "Serbo-Croatian", "T", "75.2"], ["HUN", "Slovak", "F", "0.1"], ["KHM", "Vietnamese", "F", "5.5"], ["ITA", "French", "F", "0.5"], ["GLP", "French", "T", "0.0"], ["ITA", "German", "F", "0.5"], ["ATG", "Creole English", "F", "95.7"], ["UKR", "Romanian", "F", "0.7"], ["PAK", "Urdu", "T", "7.6"], ["FRA", "Portuguese", "F", "1.2"], ["MUS", "Creole French", "F", "70.6"], ["RUS", "Mordva", "F", "0.5"], ["HTI", "Haiti Creole", "F", "100.0"], ["USA", "English", "T", "86.2"], ["CAN", "Ukrainian", "F", "0.6"], ["BRA", "Indian Languages", "F", "0.2"], ["PRT", "Portuguese", "T", "99.0"], ["TUV", "English", "T", "0.0"], ["SJM", "Russian", "F", "0.0"], ["GUY", "Creole English", "F", "96.4"], ["EST", "Finnish", "F", "0.7"], ["USA", "Tagalog", "F", "0.4"], ["POL", "Belorussian", "F", "0.5"], ["MNP", "English", "T", "4.8"], ["PNG", "Papuan Languages", "F", "78.1"], ["TTO", "Creole English", "F", "2.9"], ["FIN", "Estonian", "F", "0.2"], ["RUS", "Tatar", "F", "3.2"], ["ARG", "Indian Languages", "F", "0.3"], ["REU", "Creole French", "F", "91.5"], ["AFG", "Uzbek", "F", "8.8"], ["AUS", "Canton Chinese", "F", "1.1"], ["EST", "Estonian", "T", "65.3"], ["SJM", "Norwegian", "T", "0.0"], ["NIC", "Creole English", "F", "0.5"], ["AUS", "Arabic", "F", "1.0"], ["YEM", "Arabic", "T", "99.6"], ["USA", "Polish", "F", "0.3"], ["AUT", "Slovene", "F", "0.4"], ["COL", "Creole English", "F", "0.1"], ["HUN", "Romanian", "F", "0.1"], ["PAN", "Creole English", "F", "14.0"], ["SVK", "Slovak", "T", "85.6"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What is the language spoken by the largest percentage of people in each country?	[["Papiamento", "ABW", "76.7"], ["Pashto", "AFG", "52.4"], ["Ovimbundu", "AGO", "37.2"], ["English", "AIA", "0.0"], ["Albaniana", "ALB", "97.9"], ["Spanish", "AND", "44.6"], ["Papiamento", "ANT", "86.2"], ["Arabic", "ARE", "42.0"], ["Spanish", "ARG", "96.8"], ["Armenian", "ARM", "93.4"], ["Samoan", "ASM", "90.6"], ["Creole English", "ATG", "95.7"], ["English", "AUS", "81.2"], ["German", "AUT", "92.0"], ["Azerbaijani", "AZE", "89.0"], ["Kirundi", "BDI", "98.1"], ["Dutch", "BEL", "59.2"], ["Fon", "BEN", "39.8"], ["Mossi", "BFA", "50.2"], ["Bengali", "BGD", "97.7"], ["Bulgariana", "BGR", "83.2"], ["Arabic", "BHR", "67.7"], ["Creole English", "BHS", "89.7"], ["Serbo-Croatian", "BIH", "99.2"], ["Belorussian", "BLR", "65.6"], ["English", "BLZ", "50.8"], ["English", "BMU", "100.0"], ["Spanish", "BOL", "87.7"], ["Portuguese", "BRA", "97.5"], ["Bajan", "BRB", "95.1"], ["Malay", "BRN", "45.5"], ["Dzongkha", "BTN", "50.0"], ["Tswana", "BWA", "75.5"], ["Gbaya", "CAF", "23.8"], ["English", "CAN", "60.4"], ["English", "CCK", "0.0"], ["German", "CHE", "63.6"], ["Spanish", "CHL", "89.7"], ["Chinese", "CHN", "92.0"], ["Akan", "CIV", "30.0"], ["Fang", "CMR", "19.7"], ["Luba", "COD", "18.0"], ["Kongo", "COG", "51.5"], ["English", "COK", "0.0"], ["Spanish", "COL", "99.0"], ["Comorian", "COM", "75.0"], ["Crioulo", "CPV", "100.0"], ["Spanish", "CRI", "97.5"], ["Spanish", "CUB", "100.0"], ["Chinese", "CXR", "0.0"], ["English", "CYM", "0.0"], ["Greek", "CYP", "74.1"], ["Czech", "CZE", "81.2"], ["German", "DEU", "91.3"], ["Somali", "DJI", "43.9"], ["Creole English", "DMA", "100.0"], ["Danish", "DNK", "93.5"], ["Spanish", "DOM", "98.0"], ["Arabic", "DZA", "86.0"], ["Spanish", "ECU", "93.0"], ["Arabic", "EGY", "98.8"], ["Tigrinja", "ERI", "49.1"], ["Arabic", "ESH", "100.0"], ["Spanish", "ESP", "74.4"], ["Estonian", "EST", "65.3"], ["Oromo", "ETH", "31.0"], ["Finnish", "FIN", "92.7"], ["Fijian", "FJI", "50.8"], ["English", "FLK", "0.0"], ["French", "FRA", "93.6"], ["Faroese", "FRO", "100.0"], ["Trukese", "FSM", "41.6"], ["Fang", "GAB", "35.8"], ["English", "GBR", "97.3"], ["Georgiana", "GEO", "71.7"], ["Akan", "GHA", "52.4"], ["English", "GIB", "88.9"], ["Ful", "GIN", "38.6"], ["Creole French", "GLP", "95.0"], ["Malinke", "GMB", "34.1"], ["Crioulo", "GNB", "36.4"], ["Fang", "GNQ", "84.8"], ["Greek", "GRC", "98.5"], ["Creole English", "GRD", "100.0"], ["Greenlandic", "GRL", "87.5"], ["Spanish", "GTM", "64.7"], ["Creole French", "GUF", "94.3"], ["English", "GUM", "37.5"], ["Creole English", "GUY", "96.4"], ["Canton Chinese", "HKG", "88.7"], ["Spanish", "HND", "97.2"], ["Serbo-Croatian", "HRV", "95.9"], ["Haiti Creole", "HTI", "100.0"], ["Hungarian", "HUN", "98.5"], ["Javanese", "IDN", "39.4"], ["Hindi", "IND", "39.9"], ["English", "IRL", "98.4"], ["Persian", "IRN", "45.7"], ["Arabic", "IRQ", "77.2"], ["Icelandic", "ISL", "95.7"], ["Hebrew", "ISR", "63.1"], ["Italian", "ITA", "94.1"], ["Creole English", "JAM", "94.2"], ["Arabic", "JOR", "97.9"], ["Japanese", "JPN", "99.1"], ["Kazakh", "KAZ", "46.0"], ["Kikuyu", "KEN", "20.9"], ["Kirgiz", "KGZ", "59.7"], ["Khmer", "KHM", "88.6"], ["Kiribati", "KIR", "98.9"], ["Creole English", "KNA", "100.0"], ["Korean", "KOR", "99.9"], ["Arabic", "KWT", "78.1"], ["Lao", "LAO", "67.2"], ["Arabic", "LBN", "93.0"], ["Kpelle", "LBR", "19.5"], ["Arabic", "LBY", "96.0"], ["Creole French", "LCA", "80.0"], ["German", "LIE", "89.0"], ["Singali", "LKA", "60.3"], ["Sotho", "LSO", "85.0"], ["Lithuanian", "LTU", "81.6"], ["Luxembourgish", "LUX", "64.4"], ["Latvian", "LVA", "55.1"], ["Canton Chinese", "MAC", "85.6"], ["Arabic", "MAR", "65.0"], ["French", "MCO", "41.9"], ["Romanian", "MDA", "61.9"], ["Malagasy", "MDG", "98.9"], ["Dhivehi", "MDV", "100.0"], ["Spanish", "MEX", "92.1"], ["Marshallese", "MHL", "96.8"], ["Macedonian", "MKD", "66.5"], ["Bambara", "MLI", "31.8"], ["Maltese", "MLT", "95.8"], ["Burmese", "MMR", "69.0"], ["Mongolian", "MNG", "78.8"], ["Philippene Languages", "MNP", "34.1"], ["Makua", "MOZ", "27.8"], ["Hassaniya", "MRT", "81.7"], ["English", "MSR", "0.0"], ["Creole French", "MTQ", "96.6"], ["Creole French", "MUS", "70.6"], ["Chichewa", "MWI", "58.3"], ["Malay", "MYS", "58.4"], ["Mahor\u00e9", "MYT", "41.9"], ["Ovambo", "NAM", "50.7"], ["Malenasian Languages", "NCL", "45.4"], ["Hausa", "NER", "53.1"], ["English", "NFK", "0.0"], ["Joruba", "NGA", "21.4"], ["Spanish", "NIC", "97.6"], ["English", "NIU", "0.0"], ["Dutch", "NLD", "95.6"], ["Norwegian", "NOR", "96.6"], ["Nepali", "NPL", "50.4"], ["Nauru", "NRU", "57.5"], ["English", "NZL", "87.0"], ["Arabic", "OMN", "76.7"], ["Punjabi", "PAK", "48.2"], ["Spanish", "PAN", "76.8"], ["Pitcairnese", "PCN", "0.0"], ["Spanish", "PER", "79.8"], ["Pilipino", "PHL", "29.3"], ["Palau", "PLW", "82.2"], ["Papuan Languages", "PNG", "78.1"], ["Polish", "POL", "97.6"], ["Spanish", "PRI", "51.3"], ["Korean", "PRK", "99.9"], ["Portuguese", "PRT", "99.0"], ["Spanish", "PRY", "55.1"], ["Arabic", "PSE", "95.9"], ["Tahitian", "PYF", "46.4"], ["Arabic", "QAT", "40.7"], ["Creole French", "REU", "91.5"], ["Romanian", "ROM", "90.7"], ["Russian", "RUS", "86.6"], ["Rwanda", "RWA", "100.0"], ["Arabic", "SAU", "95.0"], ["Arabic", "SDN", "49.4"], ["Wolof", "SEN", "48.1"], ["Chinese", "SGP", "77.1"], ["English", "SHN", "0.0"], ["Norwegian", "SJM", "0.0"], ["Malenasian Languages", "SLB", "85.6"], ["Mende", "SLE", "34.8"], ["Spanish", "SLV", "100.0"], ["Italian", "SMR", "100.0"], ["Somali", "SOM", "98.3"], ["French", "SPM", "0.0"], ["Crioulo", "STP", "86.3"], ["Sranantonga", "SUR", "81.0"], ["Slovak", "SVK", "85.6"], ["Slovene", "SVN", "87.9"], ["Swedish", "SWE", "89.5"], ["Swazi", "SWZ", "89.9"], ["Seselwa", "SYC", "91.3"], ["Arabic", "SYR", "90.0"], ["English", "TCA", "0.0"], ["Sara", "TCD", "27.7"], ["Ewe", "TGO", "23.2"], ["Thai", "THA", "52.6"], ["Tadzhik", "TJK", "62.2"], ["English", "TKL", "0.0"], ["Turkmenian", "TKM", "76.7"], ["Portuguese", "TMP", "0.0"], ["Tongan", "TON", "98.3"], ["English", "TTO", "93.5"], ["Arabic", "TUN", "69.9"], ["Turkish", "TUR", "87.6"], ["Tuvalu", "TUV", "92.5"], ["Min", "TWN", "66.7"], ["Nyamwesi", "TZA", "21.1"], ["Ganda", "UGA", "18.1"], ["Ukrainian", "UKR", "64.7"], ["English", "UMI", "0.0"], ["Spanish", "URY", "95.7"], ["English", "USA", "86.2"], ["Uzbek", "UZB", "72.6"], ["Italian", "VAT", "0.0"], ["Creole English", "VCT", "99.1"], ["Spanish", "VEN", "96.9"], ["English", "VGB", "0.0"], ["English", "VIR", "81.7"], ["Vietnamese", "VNM", "86.8"], ["Bislama", "VUT", "56.6"], ["Futuna", "WLF", "0.0"], ["Samoan-English", "WSM", "52.0"], ["Arabic", "YEM", "99.6"], ["Serbo-Croatian", "YUG", "75.2"], ["Zulu", "ZAF", "22.7"], ["Bemba", "ZMB", "29.7"], ["Shona", "ZWE", "72.1"]]	2,048	Answer:
Table countrylanguage: [["CountryCode", "Language", "IsOfficial", "Percentage"], ["GEO", "Azerbaijani", "F", "5.5"], ["AUS", "Vietnamese", "F", "0.8"], ["AZE", "Azerbaijani", "T", "89.0"], ["RUS", "Kazakh", "F", "0.4"], ["MNG", "Kazakh", "F", "5.9"], ["SLB", "Malenasian Languages", "F", "85.6"], ["AUS", "Italian", "F", "2.2"], ["AUS", "Serbo-Croatian", "F", "0.6"], ["AFG", "Turkmenian", "F", "1.9"], ["IRN", "Azerbaijani", "F", "16.8"], ["NCL", "Malenasian Languages", "F", "45.4"], ["USA", "Vietnamese", "F", "0.2"], ["FJI", "Fijian", "T", "50.8"], ["AUS", "German", "F", "0.6"], ["USA", "French", "F", "0.7"], ["ATG", "Creole English", "F", "95.7"], ["ARM", "Azerbaijani", "F", "2.6"], ["PER", "Spanish", "T", "79.8"], ["USA", "German", "F", "0.7"], ["SWE", "Southern Slavic Languages", "F", "1.3"], ["IRQ", "Azerbaijani", "F", "1.7"], ["USA", "Italian", "F", "0.6"], ["MUS", "Creole French", "F", "70.6"], ["USA", "Portuguese", "F", "0.2"], ["BEL", "Turkish", "F", "0.9"], ["LIE", "Italian", "F", "2.5"], ["YUG", "Serbo-Croatian", "T", "75.2"], ["IRN", "Turkmenian", "F", "1.6"], ["SLB", "Papuan Languages", "F", "8.6"], ["BRA", "Portuguese", "T", "97.5"], ["AUS", "English", "T", "81.2"], ["EST", "Russian", "F", "27.8"], ["NAM", "German", "F", "0.9"], ["LIE", "Turkish", "F", "2.5"], ["TMP", "Portuguese", "T", "0.0"], ["TUR", "Turkish", "T", "87.6"], ["GEO", "Russian", "F", "8.8"], ["RUS", "Russian", "T", "86.6"], ["GRD", "Creole English", "F", "100.0"], ["KAZ", "Kazakh", "T", "46.0"], ["USA", "Spanish", "F", "7.5"], ["YUG", "Slovak", "F", "0.7"], ["UKR", "Russian", "F", "32.9"], ["USA", "Chinese", "F", "0.6"], ["YUG", "Macedonian", "F", "0.5"], ["DEU", "Southern Slavic Languages", "F", "1.4"], ["GUM", "Philippene Languages", "F", "19.7"], ["GUF", "Indian Languages", "F", "1.9"], ["UKR", "Romanian", "F", "0.7"], ["MNP", "Philippene Languages", "F", "34.1"], ["AUS", "Canton Chinese", "F", "1.1"], ["TUN", "Arabic-French", "F", "26.3"], ["FRO", "Faroese", "T", "100.0"], ["KGZ", "Kazakh", "F", "0.8"], ["KNA", "Creole English", "F", "100.0"], ["CPV", "Portuguese", "T", "0.0"], ["KAZ", "Russian", "F", "34.7"], ["UMI", "English", "T", "0.0"], ["ZAF", "Swazi", "F", "2.5"], ["TUN", "Arabic", "T", "69.9"], ["FRO", "Danish", "T", "0.0"], ["HRV", "Slovene", "F", "0.0"], ["PRT", "Portuguese", "T", "99.0"], ["AUS", "Arabic", "F", "1.0"], ["GUY", "Creole English", "F", "96.4"], ["CAN", "Portuguese", "F", "0.7"], ["RUS", "Chechen", "F", "0.6"], ["TKM", "Turkmenian", "T", "76.7"], ["YUG", "Albaniana", "F", "16.5"], ["AFG", "Uzbek", "F", "8.8"], ["SVK", "Ukrainian and Russian", "F", "0.6"], ["GRC", "Turkish", "F", "0.9"], ["GLP", "Creole French", "F", "95.0"], ["BHS", "Creole English", "F", "89.7"], ["GLP", "French", "T", "0.0"], ["RUS", "Ukrainian", "F", "1.3"], ["HRV", "Serbo-Croatian", "T", "95.9"], ["HUN", "Hungarian", "T", "98.5"], ["KHM", "Vietnamese", "F", "5.5"], ["NAM", "Afrikaans", "F", "9.5"], ["GRL", "Greenlandic", "T", "87.5"], ["LIE", "German", "T", "89.0"], ["QAT", "Urdu", "F", "0.0"], ["GNB", "Portuguese", "T", "8.1"], ["GUM", "English", "T", "37.5"], ["LAO", "Thai", "F", "7.8"], ["MDG", "French", "T", "0.0"], ["BEL", "French", "T", "32.6"], ["YUG", "Hungarian", "F", "3.4"], ["BLZ", "English", "T", "50.8"], ["RUS", "Belorussian", "F", "0.3"], ["USA", "English", "T", "86.2"], ["AUT", "Slovene", "F", "0.4"], ["USA", "Tagalog", "F", "0.4"], ["SVN", "Slovene", "T", "87.9"], ["RUS", "Tatar", "F", "3.2"], ["EST", "Ukrainian", "F", "2.8"], ["TTO", "Creole English", "F", "2.9"], ["GRL", "Danish", "T", "12.5"], ["KAZ", "Uzbek", "F", "2.3"], ["COM", "Comorian-Swahili", "F", "0.5"], ["GEO", "Armenian", "F", "6.8"], ["BEL", "Italian", "F", "2.4"], ["ZAF", "English", "T", "8.5"], ["ISR", "Russian", "F", "8.9"], ["RUS", "Mordva", "F", "0.5"], ["VCT", "Creole English", "F", "99.1"], ["DEU", "Italian", "F", "0.7"], ["AUT", "German", "T", "92.0"], ["NRU", "English", "T", "7.5"], ["HND", "Creole English", "F", "0.2"], ["TON", "English", "T", "0.0"], ["BOL", "Spanish", "T", "87.7"], ["ITA", "French", "F", "0.5"], ["UKR", "Hungarian", "F", "0.3"], ["BIH", "Serbo-Croatian", "T", "99.2"], ["UZB", "Kazakh", "F", "3.8"], ["ITA", "German", "F", "0.5"], ["CUB", "Spanish", "T", "100.0"], ["MYT", "French", "T", "20.3"], ["THA", "Lao", "F", "26.9"], ["AND", "Portuguese", "F", "10.8"], ["HUN", "Slovak", "F", "0.1"], ["TKM", "Kazakh", "F", "2.0"], ["AUS", "Greek", "F", "1.6"], ["ITA", "Sardinian", "F", "2.7"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the country codes of the different countries, and what are the languages spoken by the greatest percentage of people for each?	[["Papiamento", "ABW", "76.7"], ["Pashto", "AFG", "52.4"], ["Ovimbundu", "AGO", "37.2"], ["English", "AIA", "0.0"], ["Albaniana", "ALB", "97.9"], ["Spanish", "AND", "44.6"], ["Papiamento", "ANT", "86.2"], ["Arabic", "ARE", "42.0"], ["Spanish", "ARG", "96.8"], ["Armenian", "ARM", "93.4"], ["Samoan", "ASM", "90.6"], ["Creole English", "ATG", "95.7"], ["English", "AUS", "81.2"], ["German", "AUT", "92.0"], ["Azerbaijani", "AZE", "89.0"], ["Kirundi", "BDI", "98.1"], ["Dutch", "BEL", "59.2"], ["Fon", "BEN", "39.8"], ["Mossi", "BFA", "50.2"], ["Bengali", "BGD", "97.7"], ["Bulgariana", "BGR", "83.2"], ["Arabic", "BHR", "67.7"], ["Creole English", "BHS", "89.7"], ["Serbo-Croatian", "BIH", "99.2"], ["Belorussian", "BLR", "65.6"], ["English", "BLZ", "50.8"], ["English", "BMU", "100.0"], ["Spanish", "BOL", "87.7"], ["Portuguese", "BRA", "97.5"], ["Bajan", "BRB", "95.1"], ["Malay", "BRN", "45.5"], ["Dzongkha", "BTN", "50.0"], ["Tswana", "BWA", "75.5"], ["Gbaya", "CAF", "23.8"], ["English", "CAN", "60.4"], ["English", "CCK", "0.0"], ["German", "CHE", "63.6"], ["Spanish", "CHL", "89.7"], ["Chinese", "CHN", "92.0"], ["Akan", "CIV", "30.0"], ["Fang", "CMR", "19.7"], ["Luba", "COD", "18.0"], ["Kongo", "COG", "51.5"], ["English", "COK", "0.0"], ["Spanish", "COL", "99.0"], ["Comorian", "COM", "75.0"], ["Crioulo", "CPV", "100.0"], ["Spanish", "CRI", "97.5"], ["Spanish", "CUB", "100.0"], ["Chinese", "CXR", "0.0"], ["English", "CYM", "0.0"], ["Greek", "CYP", "74.1"], ["Czech", "CZE", "81.2"], ["German", "DEU", "91.3"], ["Somali", "DJI", "43.9"], ["Creole English", "DMA", "100.0"], ["Danish", "DNK", "93.5"], ["Spanish", "DOM", "98.0"], ["Arabic", "DZA", "86.0"], ["Spanish", "ECU", "93.0"], ["Arabic", "EGY", "98.8"], ["Tigrinja", "ERI", "49.1"], ["Arabic", "ESH", "100.0"], ["Spanish", "ESP", "74.4"], ["Estonian", "EST", "65.3"], ["Oromo", "ETH", "31.0"], ["Finnish", "FIN", "92.7"], ["Fijian", "FJI", "50.8"], ["English", "FLK", "0.0"], ["French", "FRA", "93.6"], ["Faroese", "FRO", "100.0"], ["Trukese", "FSM", "41.6"], ["Fang", "GAB", "35.8"], ["English", "GBR", "97.3"], ["Georgiana", "GEO", "71.7"], ["Akan", "GHA", "52.4"], ["English", "GIB", "88.9"], ["Ful", "GIN", "38.6"], ["Creole French", "GLP", "95.0"], ["Malinke", "GMB", "34.1"], ["Crioulo", "GNB", "36.4"], ["Fang", "GNQ", "84.8"], ["Greek", "GRC", "98.5"], ["Creole English", "GRD", "100.0"], ["Greenlandic", "GRL", "87.5"], ["Spanish", "GTM", "64.7"], ["Creole French", "GUF", "94.3"], ["English", "GUM", "37.5"], ["Creole English", "GUY", "96.4"], ["Canton Chinese", "HKG", "88.7"], ["Spanish", "HND", "97.2"], ["Serbo-Croatian", "HRV", "95.9"], ["Haiti Creole", "HTI", "100.0"], ["Hungarian", "HUN", "98.5"], ["Javanese", "IDN", "39.4"], ["Hindi", "IND", "39.9"], ["English", "IRL", "98.4"], ["Persian", "IRN", "45.7"], ["Arabic", "IRQ", "77.2"], ["Icelandic", "ISL", "95.7"], ["Hebrew", "ISR", "63.1"], ["Italian", "ITA", "94.1"], ["Creole English", "JAM", "94.2"], ["Arabic", "JOR", "97.9"], ["Japanese", "JPN", "99.1"], ["Kazakh", "KAZ", "46.0"], ["Kikuyu", "KEN", "20.9"], ["Kirgiz", "KGZ", "59.7"], ["Khmer", "KHM", "88.6"], ["Kiribati", "KIR", "98.9"], ["Creole English", "KNA", "100.0"], ["Korean", "KOR", "99.9"], ["Arabic", "KWT", "78.1"], ["Lao", "LAO", "67.2"], ["Arabic", "LBN", "93.0"], ["Kpelle", "LBR", "19.5"], ["Arabic", "LBY", "96.0"], ["Creole French", "LCA", "80.0"], ["German", "LIE", "89.0"], ["Singali", "LKA", "60.3"], ["Sotho", "LSO", "85.0"], ["Lithuanian", "LTU", "81.6"], ["Luxembourgish", "LUX", "64.4"], ["Latvian", "LVA", "55.1"], ["Canton Chinese", "MAC", "85.6"], ["Arabic", "MAR", "65.0"], ["French", "MCO", "41.9"], ["Romanian", "MDA", "61.9"], ["Malagasy", "MDG", "98.9"], ["Dhivehi", "MDV", "100.0"], ["Spanish", "MEX", "92.1"], ["Marshallese", "MHL", "96.8"], ["Macedonian", "MKD", "66.5"], ["Bambara", "MLI", "31.8"], ["Maltese", "MLT", "95.8"], ["Burmese", "MMR", "69.0"], ["Mongolian", "MNG", "78.8"], ["Philippene Languages", "MNP", "34.1"], ["Makua", "MOZ", "27.8"], ["Hassaniya", "MRT", "81.7"], ["English", "MSR", "0.0"], ["Creole French", "MTQ", "96.6"], ["Creole French", "MUS", "70.6"], ["Chichewa", "MWI", "58.3"], ["Malay", "MYS", "58.4"], ["Mahor\u00e9", "MYT", "41.9"], ["Ovambo", "NAM", "50.7"], ["Malenasian Languages", "NCL", "45.4"], ["Hausa", "NER", "53.1"], ["English", "NFK", "0.0"], ["Joruba", "NGA", "21.4"], ["Spanish", "NIC", "97.6"], ["English", "NIU", "0.0"], ["Dutch", "NLD", "95.6"], ["Norwegian", "NOR", "96.6"], ["Nepali", "NPL", "50.4"], ["Nauru", "NRU", "57.5"], ["English", "NZL", "87.0"], ["Arabic", "OMN", "76.7"], ["Punjabi", "PAK", "48.2"], ["Spanish", "PAN", "76.8"], ["Pitcairnese", "PCN", "0.0"], ["Spanish", "PER", "79.8"], ["Pilipino", "PHL", "29.3"], ["Palau", "PLW", "82.2"], ["Papuan Languages", "PNG", "78.1"], ["Polish", "POL", "97.6"], ["Spanish", "PRI", "51.3"], ["Korean", "PRK", "99.9"], ["Portuguese", "PRT", "99.0"], ["Spanish", "PRY", "55.1"], ["Arabic", "PSE", "95.9"], ["Tahitian", "PYF", "46.4"], ["Arabic", "QAT", "40.7"], ["Creole French", "REU", "91.5"], ["Romanian", "ROM", "90.7"], ["Russian", "RUS", "86.6"], ["Rwanda", "RWA", "100.0"], ["Arabic", "SAU", "95.0"], ["Arabic", "SDN", "49.4"], ["Wolof", "SEN", "48.1"], ["Chinese", "SGP", "77.1"], ["English", "SHN", "0.0"], ["Norwegian", "SJM", "0.0"], ["Malenasian Languages", "SLB", "85.6"], ["Mende", "SLE", "34.8"], ["Spanish", "SLV", "100.0"], ["Italian", "SMR", "100.0"], ["Somali", "SOM", "98.3"], ["French", "SPM", "0.0"], ["Crioulo", "STP", "86.3"], ["Sranantonga", "SUR", "81.0"], ["Slovak", "SVK", "85.6"], ["Slovene", "SVN", "87.9"], ["Swedish", "SWE", "89.5"], ["Swazi", "SWZ", "89.9"], ["Seselwa", "SYC", "91.3"], ["Arabic", "SYR", "90.0"], ["English", "TCA", "0.0"], ["Sara", "TCD", "27.7"], ["Ewe", "TGO", "23.2"], ["Thai", "THA", "52.6"], ["Tadzhik", "TJK", "62.2"], ["English", "TKL", "0.0"], ["Turkmenian", "TKM", "76.7"], ["Portuguese", "TMP", "0.0"], ["Tongan", "TON", "98.3"], ["English", "TTO", "93.5"], ["Arabic", "TUN", "69.9"], ["Turkish", "TUR", "87.6"], ["Tuvalu", "TUV", "92.5"], ["Min", "TWN", "66.7"], ["Nyamwesi", "TZA", "21.1"], ["Ganda", "UGA", "18.1"], ["Ukrainian", "UKR", "64.7"], ["English", "UMI", "0.0"], ["Spanish", "URY", "95.7"], ["English", "USA", "86.2"], ["Uzbek", "UZB", "72.6"], ["Italian", "VAT", "0.0"], ["Creole English", "VCT", "99.1"], ["Spanish", "VEN", "96.9"], ["English", "VGB", "0.0"], ["English", "VIR", "81.7"], ["Vietnamese", "VNM", "86.8"], ["Bislama", "VUT", "56.6"], ["Futuna", "WLF", "0.0"], ["Samoan-English", "WSM", "52.0"], ["Arabic", "YEM", "99.6"], ["Serbo-Croatian", "YUG", "75.2"], ["Zulu", "ZAF", "22.7"], ["Bemba", "ZMB", "29.7"], ["Shona", "ZWE", "72.1"]]	2,048	Answer:
Table countrylanguage: [["CountryCode", "Language", "IsOfficial", "Percentage"], ["PER", "Spanish", "T", "79.8"], ["USA", "Spanish", "F", "7.5"], ["USA", "Portuguese", "F", "0.2"], ["FRA", "Spanish", "F", "0.4"], ["USA", "Italian", "F", "0.6"], ["SWE", "Spanish", "F", "0.6"], ["CHL", "Spanish", "T", "89.7"], ["AND", "Spanish", "F", "44.6"], ["CPV", "Portuguese", "T", "0.0"], ["AUS", "Serbo-Croatian", "F", "0.6"], ["BOL", "Spanish", "T", "87.7"], ["AUS", "Italian", "F", "2.2"], ["TMP", "Portuguese", "T", "0.0"], ["FRA", "Portuguese", "F", "1.2"], ["BRA", "Portuguese", "T", "97.5"], ["CAN", "Spanish", "F", "0.7"], ["CUB", "Spanish", "T", "100.0"], ["VEN", "Spanish", "T", "96.9"], ["BEL", "Italian", "F", "2.4"], ["CAN", "Portuguese", "F", "0.7"], ["PRI", "Spanish", "T", "51.3"], ["USA", "Tagalog", "F", "0.4"], ["ABW", "Spanish", "F", "7.4"], ["REU", "Malagasy", "F", "1.4"], ["SLV", "Spanish", "T", "100.0"], ["LIE", "Italian", "F", "2.5"], ["PAN", "Spanish", "T", "76.8"], ["BLZ", "Spanish", "F", "31.6"], ["USA", "French", "F", "0.7"], ["DEU", "Italian", "F", "0.7"], ["USA", "German", "F", "0.7"], ["HND", "Spanish", "T", "97.2"], ["FRA", "Italian", "F", "0.4"], ["AUS", "German", "F", "0.6"], ["PRT", "Portuguese", "T", "99.0"], ["CRI", "Spanish", "T", "97.5"], ["URY", "Spanish", "T", "95.7"], ["ARG", "Spanish", "T", "96.8"], ["ESP", "Spanish", "T", "74.4"], ["AUS", "Vietnamese", "F", "0.8"], ["BEL", "French", "T", "32.6"], ["TTO", "Creole English", "F", "2.9"], ["MDG", "Malagasy", "T", "98.9"], ["AND", "Portuguese", "F", "10.8"], ["COM", "Comorian-Swahili", "F", "0.5"], ["COL", "Spanish", "T", "99.0"], ["BHS", "Creole English", "F", "89.7"], ["BEL", "Turkish", "F", "0.9"], ["IRN", "Turkmenian", "F", "1.6"], ["MYT", "Malagasy", "F", "16.1"], ["USA", "Vietnamese", "F", "0.2"], ["TON", "English", "T", "0.0"], ["HRV", "Slovene", "F", "0.0"], ["ECU", "Spanish", "T", "93.0"], ["GEO", "Azerbaijani", "F", "5.5"], ["VAT", "Italian", "T", "0.0"], ["BIH", "Serbo-Croatian", "T", "99.2"], ["SLB", "Malenasian Languages", "F", "85.6"], ["UKR", "Romanian", "F", "0.7"], ["SVN", "Serbo-Croatian", "F", "7.9"], ["NIC", "Spanish", "T", "97.6"], ["MUS", "Creole French", "F", "70.6"], ["NCL", "Malenasian Languages", "F", "45.4"], ["MNP", "Philippene Languages", "F", "34.1"], ["YUG", "Serbo-Croatian", "T", "75.2"], ["LTU", "Lithuanian", "T", "81.6"], ["CAN", "Italian", "F", "1.7"], ["BRA", "Italian", "F", "0.4"], ["AFG", "Turkmenian", "F", "1.9"], ["KNA", "Creole English", "F", "100.0"], ["USA", "Japanese", "F", "0.2"], ["ESP", "Basque", "F", "1.6"], ["CHE", "Italian", "T", "7.7"], ["DEU", "Southern Slavic Languages", "F", "1.4"], ["VCT", "Creole English", "F", "99.1"], ["ZAF", "Swazi", "F", "2.5"], ["GNB", "Portuguese", "T", "8.1"], ["HUN", "Serbo-Croatian", "F", "0.2"], ["HND", "Creole English", "F", "0.2"], ["REU", "Creole French", "F", "91.5"], ["USA", "Polish", "F", "0.3"], ["SWE", "Southern Slavic Languages", "F", "1.3"], ["AZE", "Azerbaijani", "T", "89.0"], ["YUG", "Albaniana", "F", "16.5"], ["FJI", "Fijian", "T", "50.8"], ["ITA", "Sardinian", "F", "2.7"], ["VIR", "Spanish", "F", "13.3"], ["CZE", "German", "F", "0.5"], ["EST", "Ukrainian", "F", "2.8"], ["DOM", "Spanish", "T", "98.0"], ["USA", "English", "T", "86.2"], ["POL", "Ukrainian", "F", "0.6"], ["COL", "Creole English", "F", "0.1"], ["HUN", "Romanian", "F", "0.1"], ["ZAF", "English", "T", "8.5"], ["MKD", "Serbo-Croatian", "F", "2.0"], ["AUT", "Slovene", "F", "0.4"], ["SVN", "Slovene", "T", "87.9"], ["NAM", "German", "F", "0.9"], ["UMI", "English", "T", "0.0"], ["BEL", "German", "T", "1.0"], ["GRD", "Creole English", "F", "100.0"], ["HRV", "Serbo-Croatian", "T", "95.9"], ["CAN", "Ukrainian", "F", "0.6"], ["RUS", "Ukrainian", "F", "1.3"], ["USA", "Chinese", "F", "0.6"], ["ITA", "Italian", "T", "94.1"], ["FRO", "Faroese", "T", "100.0"], ["BEL", "Dutch", "T", "59.2"], ["MEX", "Spanish", "T", "92.1"], ["PHL", "Maguindanao", "F", "1.4"], ["NIC", "Creole English", "F", "0.5"], ["ITA", "Slovene", "F", "0.2"], ["HTI", "Haiti Creole", "F", "100.0"], ["VIR", "French", "F", "2.5"], ["DMA", "Creole English", "F", "100.0"], ["YUG", "Macedonian", "F", "0.5"], ["ARM", "Azerbaijani", "F", "2.6"], ["AUT", "Serbo-Croatian", "F", "2.2"], ["AUS", "Greek", "F", "1.6"], ["MAR", "Berberi", "F", "33.0"], ["LTU", "Ukrainian", "F", "1.1"], ["TUR", "Turkish", "T", "87.6"], ["POL", "Belorussian", "F", "0.5"], ["HUN", "Slovak", "F", "0.1"], ["MUS", "French", "F", "3.4"], ["DEU", "Turkish", "F", "2.6"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What is the total number of countries where Spanish is spoken by the largest percentage of people?	[["1", "7.4"], ["1", "44.6"], ["1", "96.8"], ["1", "31.6"], ["1", "87.7"], ["1", "0.7"], ["1", "89.7"], ["1", "99.0"], ["1", "97.5"], ["1", "100.0"], ["1", "98.0"], ["1", "93.0"], ["1", "74.4"], ["1", "0.4"], ["1", "64.7"], ["1", "97.2"], ["1", "92.1"], ["1", "97.6"], ["1", "76.8"], ["1", "79.8"], ["1", "51.3"], ["1", "55.1"], ["1", "100.0"], ["1", "0.6"], ["1", "95.7"], ["1", "7.5"], ["1", "96.9"], ["1", "13.3"]]	2,048	Answer:
Table countrylanguage: [["CountryCode", "Language", "IsOfficial", "Percentage"], ["USA", "Spanish", "F", "7.5"], ["PER", "Spanish", "T", "79.8"], ["USA", "Portuguese", "F", "0.2"], ["FRA", "Spanish", "F", "0.4"], ["AND", "Spanish", "F", "44.6"], ["USA", "Italian", "F", "0.6"], ["CPV", "Portuguese", "T", "0.0"], ["AUS", "Italian", "F", "2.2"], ["BEL", "Italian", "F", "2.4"], ["SWE", "Spanish", "F", "0.6"], ["CUB", "Spanish", "T", "100.0"], ["AUS", "Serbo-Croatian", "F", "0.6"], ["PRI", "Spanish", "T", "51.3"], ["FRA", "Portuguese", "F", "1.2"], ["ABW", "Spanish", "F", "7.4"], ["BOL", "Spanish", "T", "87.7"], ["CHL", "Spanish", "T", "89.7"], ["CAN", "Spanish", "F", "0.7"], ["REU", "Malagasy", "F", "1.4"], ["USA", "Tagalog", "F", "0.4"], ["CAN", "Portuguese", "F", "0.7"], ["SLV", "Spanish", "T", "100.0"], ["USA", "French", "F", "0.7"], ["USA", "German", "F", "0.7"], ["BEL", "French", "T", "32.6"], ["DEU", "Italian", "F", "0.7"], ["VEN", "Spanish", "T", "96.9"], ["LIE", "Italian", "F", "2.5"], ["BLZ", "Spanish", "F", "31.6"], ["PAN", "Spanish", "T", "76.8"], ["AUS", "Vietnamese", "F", "0.8"], ["USA", "Vietnamese", "F", "0.2"], ["TTO", "Creole English", "F", "2.9"], ["FRA", "Italian", "F", "0.4"], ["TMP", "Portuguese", "T", "0.0"], ["TON", "English", "T", "0.0"], ["AUS", "German", "F", "0.6"], ["FJI", "Fijian", "T", "50.8"], ["BRA", "Portuguese", "T", "97.5"], ["CHE", "Italian", "T", "7.7"], ["COM", "Comorian-Swahili", "F", "0.5"], ["HRV", "Slovene", "F", "0.0"], ["SVN", "Serbo-Croatian", "F", "7.9"], ["NCL", "Malenasian Languages", "F", "45.4"], ["BHS", "Creole English", "F", "89.7"], ["IRN", "Turkmenian", "F", "1.6"], ["MNP", "Philippene Languages", "F", "34.1"], ["MUS", "French", "F", "3.4"], ["ITA", "Sardinian", "F", "2.7"], ["EST", "Ukrainian", "F", "2.8"], ["UKR", "Romanian", "F", "0.7"], ["MKD", "Serbo-Croatian", "F", "2.0"], ["ZAF", "English", "T", "8.5"], ["MUS", "Creole French", "F", "70.6"], ["VIR", "French", "F", "2.5"], ["ZAF", "Swazi", "F", "2.5"], ["HND", "Spanish", "T", "97.2"], ["HND", "Creole English", "F", "0.2"], ["AUT", "Serbo-Croatian", "F", "2.2"], ["MYT", "Malagasy", "F", "16.1"], ["AND", "Portuguese", "F", "10.8"], ["MAR", "Berberi", "F", "33.0"], ["AUT", "Slovene", "F", "0.4"], ["HUN", "Serbo-Croatian", "F", "0.2"], ["USA", "Chinese", "F", "0.6"], ["COL", "Creole English", "F", "0.1"], ["RUS", "Ukrainian", "F", "1.3"], ["COM", "Comorian-madagassi", "F", "5.5"], ["BEL", "Turkish", "F", "0.9"], ["USA", "Japanese", "F", "0.2"], ["ARG", "Spanish", "T", "96.8"], ["KNA", "Creole English", "F", "100.0"], ["CHE", "German", "T", "63.6"], ["GRD", "Creole English", "F", "100.0"], ["VIR", "Spanish", "F", "13.3"], ["CAF", "Mandjia", "F", "14.8"], ["NIC", "Creole English", "F", "0.5"], ["GUM", "Philippene Languages", "F", "19.7"], ["CAN", "Ukrainian", "F", "0.6"], ["CAN", "Italian", "F", "1.7"], ["CRI", "Spanish", "T", "97.5"], ["BRA", "Italian", "F", "0.4"], ["ITA", "Slovene", "F", "0.2"], ["RUS", "Belorussian", "F", "0.3"], ["KAZ", "German", "F", "3.1"], ["URY", "Spanish", "T", "95.7"], ["HUN", "Romanian", "F", "0.1"], ["DMA", "Creole English", "F", "100.0"], ["GEO", "Azerbaijani", "F", "5.5"], ["PRT", "Portuguese", "T", "99.0"], ["YUG", "Albaniana", "F", "16.5"], ["HUN", "Slovak", "F", "0.1"], ["ARM", "Azerbaijani", "F", "2.6"], ["POL", "Ukrainian", "F", "0.6"], ["CRI", "Creole English", "F", "2.0"], ["ESP", "Spanish", "T", "74.4"], ["YUG", "Hungarian", "F", "3.4"], ["ECU", "Spanish", "T", "93.0"], ["DEU", "Southern Slavic Languages", "F", "1.4"], ["CZE", "German", "F", "0.5"], ["LBN", "French", "F", "0.0"], ["DOM", "Creole French", "F", "2.0"], ["USA", "Polish", "F", "0.3"], ["NAM", "German", "F", "0.9"], ["NIC", "Spanish", "T", "97.6"], ["PRI", "English", "F", "47.4"], ["YUG", "Serbo-Croatian", "T", "75.2"], ["SWE", "Southern Slavic Languages", "F", "1.3"], ["COL", "Spanish", "T", "99.0"], ["AND", "Catalan", "T", "32.3"], ["ITA", "French", "F", "0.5"], ["CIV", "[South]Mande", "F", "7.7"], ["RUS", "Kazakh", "F", "0.4"], ["YUG", "Macedonian", "F", "0.5"], ["KAZ", "Russian", "F", "34.7"], ["FRO", "Faroese", "T", "100.0"], ["ITA", "German", "F", "0.5"], ["VCT", "Creole English", "F", "99.1"], ["DEU", "Turkish", "F", "2.6"], ["VEN", "Goajiro", "F", "0.4"], ["POL", "Belorussian", "F", "0.5"], ["USA", "English", "T", "86.2"], ["RUS", "Tatar", "F", "3.2"], ["GUY", "Caribbean", "F", "2.2"], ["ESP", "Basque", "F", "1.6"], ["MOZ", "Marendje", "F", "3.5"], ["LVA", "Ukrainian", "F", "2.9"], ["JPN", "Philippene Languages", "F", "0.1"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Count the number of countries for which Spanish is the predominantly spoken language.	[["1", "7.4"], ["1", "44.6"], ["1", "96.8"], ["1", "31.6"], ["1", "87.7"], ["1", "0.7"], ["1", "89.7"], ["1", "99.0"], ["1", "97.5"], ["1", "100.0"], ["1", "98.0"], ["1", "93.0"], ["1", "74.4"], ["1", "0.4"], ["1", "64.7"], ["1", "97.2"], ["1", "92.1"], ["1", "97.6"], ["1", "76.8"], ["1", "79.8"], ["1", "51.3"], ["1", "55.1"], ["1", "100.0"], ["1", "0.6"], ["1", "95.7"], ["1", "7.5"], ["1", "96.9"], ["1", "13.3"]]	2,048	Answer:
Table countrylanguage: [["CountryCode", "Language", "IsOfficial", "Percentage"], ["PER", "Spanish", "T", "79.8"], ["USA", "Spanish", "F", "7.5"], ["CHL", "Spanish", "T", "89.7"], ["BOL", "Spanish", "T", "87.7"], ["USA", "Portuguese", "F", "0.2"], ["AND", "Spanish", "F", "44.6"], ["FRA", "Spanish", "F", "0.4"], ["CPV", "Portuguese", "T", "0.0"], ["SWE", "Spanish", "F", "0.6"], ["CUB", "Spanish", "T", "100.0"], ["CAN", "Spanish", "F", "0.7"], ["PRI", "Spanish", "T", "51.3"], ["TMP", "Portuguese", "T", "0.0"], ["VEN", "Spanish", "T", "96.9"], ["ABW", "Spanish", "F", "7.4"], ["BRA", "Portuguese", "T", "97.5"], ["SLV", "Spanish", "T", "100.0"], ["PRT", "Portuguese", "T", "99.0"], ["BEL", "Italian", "F", "2.4"], ["FRA", "Portuguese", "F", "1.2"], ["BLZ", "Spanish", "F", "31.6"], ["USA", "Italian", "F", "0.6"], ["AUS", "Italian", "F", "2.2"], ["AUS", "Serbo-Croatian", "F", "0.6"], ["CAN", "Portuguese", "F", "0.7"], ["HND", "Spanish", "T", "97.2"], ["ARG", "Spanish", "T", "96.8"], ["URY", "Spanish", "T", "95.7"], ["USA", "Tagalog", "F", "0.4"], ["LIE", "Italian", "F", "2.5"], ["ESP", "Spanish", "T", "74.4"], ["CRI", "Spanish", "T", "97.5"], ["COL", "Spanish", "T", "99.0"], ["BEL", "French", "T", "32.6"], ["USA", "French", "F", "0.7"], ["PAN", "Spanish", "T", "76.8"], ["TTO", "Creole English", "F", "2.9"], ["DEU", "Italian", "F", "0.7"], ["ECU", "Spanish", "T", "93.0"], ["USA", "German", "F", "0.7"], ["BEL", "Turkish", "F", "0.9"], ["FRA", "Italian", "F", "0.4"], ["AUS", "Vietnamese", "F", "0.8"], ["MUS", "Creole French", "F", "70.6"], ["GNB", "Portuguese", "T", "8.1"], ["KNA", "Creole English", "F", "100.0"], ["SVN", "Serbo-Croatian", "F", "7.9"], ["NIC", "Spanish", "T", "97.6"], ["YUG", "Serbo-Croatian", "T", "75.2"], ["USA", "Vietnamese", "F", "0.2"], ["BHS", "Creole English", "F", "89.7"], ["AND", "Portuguese", "F", "10.8"], ["BIH", "Serbo-Croatian", "T", "99.2"], ["VCT", "Creole English", "F", "99.1"], ["AUS", "German", "F", "0.6"], ["TON", "English", "T", "0.0"], ["UKR", "Romanian", "F", "0.7"], ["FJI", "Fijian", "T", "50.8"], ["GRD", "Creole English", "F", "100.0"], ["AZE", "Azerbaijani", "T", "89.0"], ["VAT", "Italian", "T", "0.0"], ["BEL", "German", "T", "1.0"], ["SLB", "Malenasian Languages", "F", "85.6"], ["REU", "Malagasy", "F", "1.4"], ["COM", "Comorian-Swahili", "F", "0.5"], ["HND", "Creole English", "F", "0.2"], ["BEL", "Dutch", "T", "59.2"], ["SMR", "Italian", "T", "100.0"], ["DOM", "Spanish", "T", "98.0"], ["CAN", "Italian", "F", "1.7"], ["NCL", "Malenasian Languages", "F", "45.4"], ["MEX", "Spanish", "T", "92.1"], ["HUN", "Serbo-Croatian", "F", "0.2"], ["DMA", "Creole English", "F", "100.0"], ["ATG", "Creole English", "F", "95.7"], ["MNP", "Philippene Languages", "F", "34.1"], ["YUG", "Albaniana", "F", "16.5"], ["CHE", "Italian", "T", "7.7"], ["USA", "English", "T", "86.2"], ["REU", "Creole French", "F", "91.5"], ["VIR", "Spanish", "F", "13.3"], ["COM", "Comorian-madagassi", "F", "5.5"], ["TUR", "Turkish", "T", "87.6"], ["VIR", "French", "F", "2.5"], ["AUT", "Serbo-Croatian", "F", "2.2"], ["UMI", "English", "T", "0.0"], ["ESP", "Basque", "F", "1.6"], ["MKD", "Serbo-Croatian", "F", "2.0"], ["HTI", "Haiti Creole", "F", "100.0"], ["CRI", "Creole English", "F", "2.0"], ["DOM", "Creole French", "F", "2.0"], ["NIC", "Creole English", "F", "0.5"], ["NAM", "German", "F", "0.9"], ["HRV", "Slovene", "F", "0.0"], ["IRN", "Turkmenian", "F", "1.6"], ["LIE", "Turkish", "F", "2.5"], ["FRO", "Faroese", "T", "100.0"], ["LCA", "Creole French", "F", "80.0"], ["FRA", "French", "T", "93.6"], ["LIE", "German", "T", "89.0"], ["GLP", "French", "T", "0.0"], ["GEO", "Azerbaijani", "F", "5.5"], ["HRV", "Serbo-Croatian", "T", "95.9"], ["MUS", "French", "F", "3.4"], ["COL", "Creole English", "F", "0.1"], ["KHM", "Vietnamese", "F", "5.5"], ["PHL", "Maguindanao", "F", "1.4"], ["CZE", "German", "F", "0.5"], ["AFG", "Turkmenian", "F", "1.9"], ["ITA", "Sardinian", "F", "2.7"], ["SVN", "Slovene", "T", "87.9"], ["MDG", "Malagasy", "T", "98.9"], ["USA", "Japanese", "F", "0.2"], ["HUN", "Romanian", "F", "0.1"], ["MAR", "Berberi", "F", "33.0"], ["ZAF", "English", "T", "8.5"], ["BEL", "Arabic", "F", "1.6"], ["HTI", "French", "T", "0.0"], ["BRA", "Italian", "F", "0.4"], ["LTU", "Lithuanian", "T", "81.6"], ["EST", "Ukrainian", "F", "2.8"], ["AUS", "English", "T", "81.2"], ["HUN", "Slovak", "F", "0.1"], ["MYT", "Malagasy", "F", "16.1"], ["ALB", "Albaniana", "T", "97.9"], ["ARG", "Italian", "F", "1.7"], ["DEU", "Turkish", "F", "2.6"], ["AND", "Catalan", "T", "32.3"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the codes of countries where Spanish is spoken by the largest percentage of people?	[["ABW", "7.4"], ["AND", "44.6"], ["ARG", "96.8"], ["BLZ", "31.6"], ["BOL", "87.7"], ["CAN", "0.7"], ["CHL", "89.7"], ["COL", "99.0"], ["CRI", "97.5"], ["CUB", "100.0"], ["DOM", "98.0"], ["ECU", "93.0"], ["ESP", "74.4"], ["FRA", "0.4"], ["GTM", "64.7"], ["HND", "97.2"], ["MEX", "92.1"], ["NIC", "97.6"], ["PAN", "76.8"], ["PER", "79.8"], ["PRI", "51.3"], ["PRY", "55.1"], ["SLV", "100.0"], ["SWE", "0.6"], ["URY", "95.7"], ["USA", "7.5"], ["VEN", "96.9"], ["VIR", "13.3"]]	2,048	Answer:
Table countrylanguage: [["CountryCode", "Language", "IsOfficial", "Percentage"], ["PER", "Spanish", "T", "79.8"], ["USA", "Spanish", "F", "7.5"], ["ABW", "Spanish", "F", "7.4"], ["BOL", "Spanish", "T", "87.7"], ["CPV", "Portuguese", "T", "0.0"], ["CHL", "Spanish", "T", "89.7"], ["PRI", "Spanish", "T", "51.3"], ["USA", "Portuguese", "F", "0.2"], ["SWE", "Spanish", "F", "0.6"], ["AND", "Spanish", "F", "44.6"], ["AUS", "Italian", "F", "2.2"], ["FRA", "Spanish", "F", "0.4"], ["BEL", "Italian", "F", "2.4"], ["CUB", "Spanish", "T", "100.0"], ["AUS", "Serbo-Croatian", "F", "0.6"], ["SLV", "Spanish", "T", "100.0"], ["BLZ", "Spanish", "F", "31.6"], ["FRA", "Portuguese", "F", "1.2"], ["CAN", "Spanish", "F", "0.7"], ["BEL", "French", "T", "32.6"], ["USA", "Italian", "F", "0.6"], ["FJI", "Fijian", "T", "50.8"], ["AUS", "Vietnamese", "F", "0.8"], ["USA", "Vietnamese", "F", "0.2"], ["TTO", "Creole English", "F", "2.9"], ["CAN", "Portuguese", "F", "0.7"], ["TMP", "Portuguese", "T", "0.0"], ["VEN", "Spanish", "T", "96.9"], ["UKR", "Romanian", "F", "0.7"], ["PAN", "Spanish", "T", "76.8"], ["PRT", "Portuguese", "T", "99.0"], ["ARG", "Spanish", "T", "96.8"], ["SVN", "Serbo-Croatian", "F", "7.9"], ["MKD", "Serbo-Croatian", "F", "2.0"], ["AUT", "Serbo-Croatian", "F", "2.2"], ["USA", "German", "F", "0.7"], ["HND", "Spanish", "T", "97.2"], ["BHS", "Creole English", "F", "89.7"], ["VIR", "French", "F", "2.5"], ["USA", "French", "F", "0.7"], ["HUN", "Serbo-Croatian", "F", "0.2"], ["GRD", "Creole English", "F", "100.0"], ["HND", "Creole English", "F", "0.2"], ["YUG", "Serbo-Croatian", "T", "75.2"], ["BRA", "Portuguese", "T", "97.5"], ["MUS", "Creole French", "F", "70.6"], ["AUS", "German", "F", "0.6"], ["MNP", "Philippene Languages", "F", "34.1"], ["LIE", "Italian", "F", "2.5"], ["DEU", "Italian", "F", "0.7"], ["DMA", "Creole English", "F", "100.0"], ["TON", "English", "T", "0.0"], ["COL", "Spanish", "T", "99.0"], ["URY", "Spanish", "T", "95.7"], ["ESP", "Spanish", "T", "74.4"], ["KNA", "Creole English", "F", "100.0"], ["VIR", "Spanish", "F", "13.3"], ["ZAF", "English", "T", "8.5"], ["CRI", "Creole English", "F", "2.0"], ["NCL", "Malenasian Languages", "F", "45.4"], ["MUS", "French", "F", "3.4"], ["PLW", "Philippene Languages", "F", "9.2"], ["BEL", "Turkish", "F", "0.9"], ["EST", "Ukrainian", "F", "2.8"], ["UKR", "Hungarian", "F", "0.3"], ["FRA", "Italian", "F", "0.4"], ["REU", "Malagasy", "F", "1.4"], ["YUG", "Hungarian", "F", "3.4"], ["UKR", "Russian", "F", "32.9"], ["KAZ", "German", "F", "3.1"], ["CHE", "Italian", "T", "7.7"], ["KHM", "Vietnamese", "F", "5.5"], ["PRI", "English", "F", "47.4"], ["SMR", "Italian", "T", "100.0"], ["BIH", "Serbo-Croatian", "T", "99.2"], ["USA", "Tagalog", "F", "0.4"], ["CRI", "Spanish", "T", "97.5"], ["BLZ", "English", "T", "50.8"], ["BEL", "German", "T", "1.0"], ["VCT", "Creole English", "F", "99.1"], ["DOM", "Creole French", "F", "2.0"], ["KAZ", "Russian", "F", "34.7"], ["AND", "Portuguese", "F", "10.8"], ["COL", "Creole English", "F", "0.1"], ["HUN", "Slovak", "F", "0.1"], ["NIC", "Creole English", "F", "0.5"], ["COM", "Comorian-madagassi", "F", "5.5"], ["BEL", "Dutch", "T", "59.2"], ["USA", "English", "T", "86.2"], ["GUM", "Philippene Languages", "F", "19.7"], ["USA", "Japanese", "F", "0.2"], ["HRV", "Slovene", "F", "0.0"], ["ATG", "Creole English", "F", "95.7"], ["COM", "Comorian-Swahili", "F", "0.5"], ["CHE", "German", "T", "63.6"], ["USA", "Chinese", "F", "0.6"], ["PLW", "English", "T", "3.2"], ["ABW", "English", "F", "9.5"], ["NIC", "Spanish", "T", "97.6"], ["LVA", "Ukrainian", "F", "2.9"], ["GNB", "Portuguese", "T", "8.1"], ["CAN", "Ukrainian", "F", "0.6"], ["DEU", "Turkish", "F", "2.6"], ["ECU", "Spanish", "T", "93.0"], ["AUT", "Slovene", "F", "0.4"], ["TUR", "Turkish", "T", "87.6"], ["LBN", "French", "F", "0.0"], ["YUG", "Slovak", "F", "0.7"], ["KAZ", "Ukrainian", "F", "5.0"], ["IRN", "Turkmenian", "F", "1.6"], ["HUN", "German", "F", "0.4"], ["NAM", "German", "F", "0.9"], ["DOM", "Spanish", "T", "98.0"], ["YUG", "Albaniana", "F", "16.5"], ["HUN", "Romanian", "F", "0.1"], ["LAO", "Thai", "F", "7.8"], ["CZE", "German", "F", "0.5"], ["HRV", "Serbo-Croatian", "T", "95.9"], ["MAR", "Berberi", "F", "33.0"], ["FRO", "Faroese", "T", "100.0"], ["BEL", "Arabic", "F", "1.6"], ["CAN", "Italian", "F", "1.7"], ["SLB", "Malenasian Languages", "F", "85.6"], ["BRN", "Malay-English", "F", "28.8"], ["SWE", "Southern Slavic Languages", "F", "1.3"], ["SVK", "Ukrainian and Russian", "F", "0.6"], ["JPN", "Philippene Languages", "F", "0.1"], ["CCK", "English", "T", "0.0"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the codes of countries for which Spanish is the predominantly spoken language.	[["ABW", "7.4"], ["AND", "44.6"], ["ARG", "96.8"], ["BLZ", "31.6"], ["BOL", "87.7"], ["CAN", "0.7"], ["CHL", "89.7"], ["COL", "99.0"], ["CRI", "97.5"], ["CUB", "100.0"], ["DOM", "98.0"], ["ECU", "93.0"], ["ESP", "74.4"], ["FRA", "0.4"], ["GTM", "64.7"], ["HND", "97.2"], ["MEX", "92.1"], ["NIC", "97.6"], ["PAN", "76.8"], ["PER", "79.8"], ["PRI", "51.3"], ["PRY", "55.1"], ["SLV", "100.0"], ["SWE", "0.6"], ["URY", "95.7"], ["USA", "7.5"], ["VEN", "96.9"], ["VIR", "13.3"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["10", "Robert Craft", "63", "UK", "21"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["8", "Pierre Boulez", "49", "UK", "11"], ["6", "Charles Dutoit", "43", "France", "12"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["3", "Colin Davis", "42", "USA", "6"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["1", "Antal Doráti", "40", "USA", "10"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:How many conductors are there?	[["12"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["10", "Robert Craft", "63", "UK", "21"], ["8", "Pierre Boulez", "49", "UK", "11"], ["6", "Charles Dutoit", "43", "France", "12"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Count the number of conductors.	[["12"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["6", "Charles Dutoit", "43", "France", "12"], ["10", "Robert Craft", "63", "UK", "21"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["8", "Pierre Boulez", "49", "UK", "11"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:List the names of conductors in ascending order of age.	[["Antal Dor\u00e1ti"], ["Igor Stravinsky"], ["Colin Davis"], ["Michael Tilson Thomas"], ["Paul Jorgensen"], ["Antal Brown"], ["Charles Dutoit"], ["Seiji Ozawa"], ["Valeri Gergiev"], ["Pierre Boulez"], ["Gerard Schwarz"], ["Robert Craft"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["10", "Robert Craft", "63", "UK", "21"], ["6", "Charles Dutoit", "43", "France", "12"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["8", "Pierre Boulez", "49", "UK", "11"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["3", "Colin Davis", "42", "USA", "6"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of conductors, ordered by age?	[["Antal Dor\u00e1ti"], ["Igor Stravinsky"], ["Colin Davis"], ["Michael Tilson Thomas"], ["Paul Jorgensen"], ["Antal Brown"], ["Charles Dutoit"], ["Seiji Ozawa"], ["Valeri Gergiev"], ["Pierre Boulez"], ["Gerard Schwarz"], ["Robert Craft"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["8", "Pierre Boulez", "49", "UK", "11"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["3", "Colin Davis", "42", "USA", "6"], ["6", "Charles Dutoit", "43", "France", "12"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["10", "Robert Craft", "63", "UK", "21"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of conductors whose nationalities are not "USA"?	[["Igor Stravinsky"], ["Paul Jorgensen"], ["Charles Dutoit"], ["Pierre Boulez"], ["Robert Craft"], ["Michael Tilson Thomas"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["8", "Pierre Boulez", "49", "UK", "11"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["10", "Robert Craft", "63", "UK", "21"], ["6", "Charles Dutoit", "43", "France", "12"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the names of conductors that do not have the nationality "USA".	[["Igor Stravinsky"], ["Paul Jorgensen"], ["Charles Dutoit"], ["Pierre Boulez"], ["Robert Craft"], ["Michael Tilson Thomas"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the record companies of orchestras in descending order of years in which they were founded?	[["Columbia Masterworks"], ["Philips"], ["Philips Classics Records"], ["RCA"], ["EMI"], ["Koch Records / Naxos Records"], ["Decca Records"], ["Mercury Records"], ["Deutsche Grammophon"], ["Kultur"], ["Decca Records"], ["Delos Records"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the record companies of orchestras, sorted descending by the years in which they were founded.	[["Columbia Masterworks"], ["Philips"], ["Philips Classics Records"], ["RCA"], ["EMI"], ["Koch Records / Naxos Records"], ["Decca Records"], ["Mercury Records"], ["Deutsche Grammophon"], ["Kultur"], ["Decca Records"], ["Delos Records"]]	2,048	Answer:
Table SHOW: [["Show_ID", "Performance_ID", "If_first_show", "Result", "Attendance"], ["1", "1", "Glebe Park", "T", "1026.0"], ["5", "5", "Hampden Park", "T", "2431.0"], ["3", "3", "St. Mirren Park", "F", "555.0"], ["2", "2", "Fir Park", "T", "695.0"], ["4", "4", "St. Mirren Park", "F", "1925.0"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What is the average attendance of shows?	[["1326.4"]]	2,048	Answer:
Table SHOW: [["Show_ID", "Performance_ID", "If_first_show", "Result", "Attendance"], ["5", "5", "Hampden Park", "T", "2431.0"], ["4", "4", "St. Mirren Park", "F", "1925.0"], ["3", "3", "St. Mirren Park", "F", "555.0"], ["1", "1", "Glebe Park", "T", "1026.0"], ["2", "2", "Fir Park", "T", "695.0"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the average attendance across all shows.	[["1326.4"]]	2,048	Answer:
Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["8", "8", "Live final", "17 June", "11.58", "1", "43.7%"], ["7", "7", "Semi-final 3", "16 June", "9.29", "7", "40.9%"], ["9", "9", "Live final results", "17 June", "11.45", "2", "44.7%"], ["6", "6", "Semi-final 2", "15 June", "9.28", "8", "38.1%"], ["11", "11", "Semi-final 1", "14 June", "8.36", "9", "34.0%"], ["4", "4", "Auditions 4", "12 June", "7.39", "13", "29.3%"], ["1", "1", "Auditions 1", "9 June", "5.2", "12", "22.7%"], ["5", "5", "Auditions 5", "13 June", "7.51", "11", "29.2%"], ["2", "2", "Auditions 2", "10 June", "6.73", "8", "28.0%"], ["3", "3", "Auditions 3", "11 June", "7.28", "15", "29.4%"], ["10", "10", "Series average", "2007", "8.38", "TBC", "34%"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the maximum and minimum share of performances whose type is not "Live final".	[["44.7%", "22.7%"]]	2,048	Answer:
Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["8", "8", "Live final", "17 June", "11.58", "1", "43.7%"], ["9", "9", "Live final results", "17 June", "11.45", "2", "44.7%"], ["7", "7", "Semi-final 3", "16 June", "9.29", "7", "40.9%"], ["11", "11", "Semi-final 1", "14 June", "8.36", "9", "34.0%"], ["6", "6", "Semi-final 2", "15 June", "9.28", "8", "38.1%"], ["5", "5", "Auditions 5", "13 June", "7.51", "11", "29.2%"], ["1", "1", "Auditions 1", "9 June", "5.2", "12", "22.7%"], ["4", "4", "Auditions 4", "12 June", "7.39", "13", "29.3%"], ["2", "2", "Auditions 2", "10 June", "6.73", "8", "28.0%"], ["3", "3", "Auditions 3", "11 June", "7.28", "15", "29.4%"], ["10", "10", "Series average", "2007", "8.38", "TBC", "34%"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the maximum and minimum shares for performances that do not have the type "Live final".	[["44.7%", "22.7%"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["8", "Pierre Boulez", "49", "UK", "11"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["10", "Robert Craft", "63", "UK", "21"], ["6", "Charles Dutoit", "43", "France", "12"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:How many different nationalities do conductors have?	[["3"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["8", "Pierre Boulez", "49", "UK", "11"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["6", "Charles Dutoit", "43", "France", "12"], ["10", "Robert Craft", "63", "UK", "21"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Count the number of different nationalities of conductors.	[["3"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["10", "Robert Craft", "63", "UK", "21"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["8", "Pierre Boulez", "49", "UK", "11"], ["6", "Charles Dutoit", "43", "France", "12"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:List names of conductors in descending order of years of work.	[["Robert Craft"], ["Antal Brown"], ["Gerard Schwarz"], ["Valeri Gergiev"], ["Charles Dutoit"], ["Michael Tilson Thomas"], ["Igor Stravinsky"], ["Paul Jorgensen"], ["Pierre Boulez"], ["Antal Dor\u00e1ti"], ["Seiji Ozawa"], ["Colin Davis"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["10", "Robert Craft", "63", "UK", "21"], ["8", "Pierre Boulez", "49", "UK", "11"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["6", "Charles Dutoit", "43", "France", "12"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["3", "Colin Davis", "42", "USA", "6"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of conductors, sorted descending by the number of years they have worked?	[["Robert Craft"], ["Antal Brown"], ["Gerard Schwarz"], ["Valeri Gergiev"], ["Charles Dutoit"], ["Michael Tilson Thomas"], ["Igor Stravinsky"], ["Paul Jorgensen"], ["Pierre Boulez"], ["Antal Dor\u00e1ti"], ["Seiji Ozawa"], ["Colin Davis"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["8", "Pierre Boulez", "49", "UK", "11"], ["6", "Charles Dutoit", "43", "France", "12"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["10", "Robert Craft", "63", "UK", "21"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:List the name of the conductor with the most years of work.	[["Robert Craft"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["2", "Igor Stravinsky", "41", "UK", "11"], ["6", "Charles Dutoit", "43", "France", "12"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["8", "Pierre Boulez", "49", "UK", "11"], ["10", "Robert Craft", "63", "UK", "21"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What is the name of the conductor who has worked the greatest number of years?	[["Robert Craft"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["2", "Igor Stravinsky", "41", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["4", "Paul Jorgensen", "43", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["8", "Pierre Boulez", "49", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["10", "Robert Craft", "63", "UK", "21"], ["6", "Charles Dutoit", "43", "France", "12"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["3", "Colin Davis", "42", "USA", "6"], ["7", "Gerard Schwarz", "50", "USA", "20"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["1", "Antal Doráti", "40", "USA", "10"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the names of conductors and the orchestras they have conducted.	[["Antal Dor\u00e1ti", "London Symphony Orchestra"], ["Igor Stravinsky", "Columbia Symphony Orchestra"], ["Colin Davis", "Royal Concertgebouw Orchestra"], ["Paul Jorgensen", "Royal Danish Orchestra"], ["Antal Brown", "Detroit Symphony Orchestra"], ["Charles Dutoit", "Montreal Symphony Orchestra"], ["Gerard Schwarz", "Seattle Symphony Orchestra"], ["Pierre Boulez", "Chicago Symphony Orchestra"], ["Valeri Gergiev", "Kirov Orchestra"], ["Robert Craft", "Philharmonia Orchestra"], ["Seiji Ozawa", "Orchestre de Paris"], ["Michael Tilson Thomas", "San Francisco Symphony Orchestra"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["2", "Igor Stravinsky", "41", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["8", "Pierre Boulez", "49", "UK", "11"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["10", "Robert Craft", "63", "UK", "21"], ["6", "Charles Dutoit", "43", "France", "12"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of conductors as well as the corresonding orchestras that they have conducted?	[["Antal Dor\u00e1ti", "London Symphony Orchestra"], ["Igor Stravinsky", "Columbia Symphony Orchestra"], ["Colin Davis", "Royal Concertgebouw Orchestra"], ["Paul Jorgensen", "Royal Danish Orchestra"], ["Antal Brown", "Detroit Symphony Orchestra"], ["Charles Dutoit", "Montreal Symphony Orchestra"], ["Gerard Schwarz", "Seattle Symphony Orchestra"], ["Pierre Boulez", "Chicago Symphony Orchestra"], ["Valeri Gergiev", "Kirov Orchestra"], ["Robert Craft", "Philharmonia Orchestra"], ["Seiji Ozawa", "Orchestre de Paris"], ["Michael Tilson Thomas", "San Francisco Symphony Orchestra"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["2", "Igor Stravinsky", "41", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["4", "Paul Jorgensen", "43", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["8", "Pierre Boulez", "49", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["10", "Robert Craft", "63", "UK", "21"], ["6", "Charles Dutoit", "43", "France", "12"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["7", "Gerard Schwarz", "50", "USA", "20"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the names of conductors that have conducted more than one orchestras.	[]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["2", "Igor Stravinsky", "41", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["8", "Pierre Boulez", "49", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["10", "Robert Craft", "63", "UK", "21"], ["6", "Charles Dutoit", "43", "France", "12"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["3", "Colin Davis", "42", "USA", "6"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["1", "Antal Doráti", "40", "USA", "10"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of conductors who have conducted at more than one orchestra?	[]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["2", "Igor Stravinsky", "41", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["8", "Pierre Boulez", "49", "UK", "11"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["6", "Charles Dutoit", "43", "France", "12"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["4", "Paul Jorgensen", "43", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["10", "Robert Craft", "63", "UK", "21"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["11", "Seiji Ozawa", "43", "USA", "10"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the name of the conductor that has conducted the most number of orchestras.	[["Michael Tilson Thomas"]]	2,048	Answer:
Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["2", "Igor Stravinsky", "41", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["8", "Pierre Boulez", "49", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["6", "Charles Dutoit", "43", "France", "12"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["4", "Paul Jorgensen", "43", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["10", "Robert Craft", "63", "UK", "21"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["3", "Colin Davis", "42", "USA", "6"], ["1", "Antal Doráti", "40", "USA", "10"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What is the name of the conductor who has conducted the most orchestras?	[["Michael Tilson Thomas"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["2", "Igor Stravinsky", "41", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["8", "Pierre Boulez", "49", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["10", "Robert Craft", "63", "UK", "21"], ["11", "Seiji Ozawa", "43", "USA", "10"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["9", "Valeri Gergiev", "47", "USA", "16"], ["6", "Charles Dutoit", "43", "France", "12"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["1", "Antal Doráti", "40", "USA", "10"], ["3", "Colin Davis", "42", "USA", "6"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Please show the name of the conductor that has conducted orchestras founded after 2008.	[["Igor Stravinsky"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["2", "Igor Stravinsky", "41", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["12", "Michael Tilson Thomas", "42", "France", "12"], ["8", "Pierre Boulez", "49", "UK", "11"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["4", "Paul Jorgensen", "43", "UK", "11"], ["10", "Robert Craft", "63", "UK", "21"], ["11", "Seiji Ozawa", "43", "USA", "10"], ["9", "Valeri Gergiev", "47", "USA", "16"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table conductor: [["Conductor_ID", "Name", "Age", "Nationality", "Year_of_Work"], ["6", "Charles Dutoit", "43", "France", "12"], ["7", "Gerard Schwarz", "50", "USA", "20"], ["1", "Antal Doráti", "40", "USA", "10"], ["3", "Colin Davis", "42", "USA", "6"], ["5", "Antal Brown", "43", "USA", "20"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of conductors who have conducted orchestras founded after the year 2008?	[["Igor Stravinsky"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Please show the different record companies and the corresponding number of orchestras.	[["Columbia Masterworks", "1"], ["Decca Records", "2"], ["Delos Records", "1"], ["Deutsche Grammophon", "1"], ["EMI", "1"], ["Koch Records / Naxos Records", "1"], ["Kultur", "1"], ["Mercury Records", "1"], ["Philips", "1"], ["Philips Classics Records", "1"], ["RCA", "1"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:How many orchestras does each record company manage?	[["Columbia Masterworks", "1"], ["Decca Records", "2"], ["Delos Records", "1"], ["Deutsche Grammophon", "1"], ["EMI", "1"], ["Koch Records / Naxos Records", "1"], ["Kultur", "1"], ["Mercury Records", "1"], ["Philips", "1"], ["Philips Classics Records", "1"], ["RCA", "1"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Please show the record formats of orchestras in ascending order of count.	[["CD / LP"], ["DVD"], ["CD"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the major record formats of orchestras, sorted by their frequency?	[["CD / LP"], ["DVD"], ["CD"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:List the record company shared by the most number of orchestras.	[["Decca Records"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What is the record company used by the greatest number of orchestras?	[["Decca Records"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["2", "2", "Auditions 2", "10 June", "6.73", "8", "28.0%"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["4", "4", "Auditions 4", "12 June", "7.39", "13", "29.3%"], ["3", "3", "Auditions 3", "11 June", "7.28", "15", "29.4%"], ["1", "1", "Auditions 1", "9 June", "5.2", "12", "22.7%"], ["5", "5", "Auditions 5", "13 June", "7.51", "11", "29.2%"], ["7", "7", "Semi-final 3", "16 June", "9.29", "7", "40.9%"], ["8", "8", "Live final", "17 June", "11.58", "1", "43.7%"], ["6", "6", "Semi-final 2", "15 June", "9.28", "8", "38.1%"], ["11", "11", "Semi-final 1", "14 June", "8.36", "9", "34.0%"], ["9", "9", "Live final results", "17 June", "11.45", "2", "44.7%"], ["10", "10", "Series average", "2007", "8.38", "TBC", "34%"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:List the names of orchestras that have no performance.	[["San Francisco Symphony Orchestra"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"]]Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["2", "2", "Auditions 2", "10 June", "6.73", "8", "28.0%"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["4", "4", "Auditions 4", "12 June", "7.39", "13", "29.3%"], ["1", "1", "Auditions 1", "9 June", "5.2", "12", "22.7%"], ["5", "5", "Auditions 5", "13 June", "7.51", "11", "29.2%"], ["3", "3", "Auditions 3", "11 June", "7.28", "15", "29.4%"], ["7", "7", "Semi-final 3", "16 June", "9.29", "7", "40.9%"], ["6", "6", "Semi-final 2", "15 June", "9.28", "8", "38.1%"], ["8", "8", "Live final", "17 June", "11.58", "1", "43.7%"], ["11", "11", "Semi-final 1", "14 June", "8.36", "9", "34.0%"], ["9", "9", "Live final results", "17 June", "11.45", "2", "44.7%"], ["10", "10", "Series average", "2007", "8.38", "TBC", "34%"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the orchestras that do not have any performances?	[["San Francisco Symphony Orchestra"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the record companies shared by orchestras founded before 2003 and after 2003.	[["Decca Records"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the record companies that are used by both orchestras founded before 2003 and those founded after 2003?	[["Decca Records"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Find the number of orchestras whose record format is "CD" or "DVD".	[["11"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Count the number of orchestras that have CD or DVD as their record format.	[["11"]]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["1", "1", "Auditions 1", "9 June", "5.2", "12", "22.7%"], ["4", "4", "Auditions 4", "12 June", "7.39", "13", "29.3%"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"]]Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["3", "3", "Auditions 3", "11 June", "7.28", "15", "29.4%"], ["2", "2", "Auditions 2", "10 June", "6.73", "8", "28.0%"], ["7", "7", "Semi-final 3", "16 June", "9.29", "7", "40.9%"], ["6", "6", "Semi-final 2", "15 June", "9.28", "8", "38.1%"], ["5", "5", "Auditions 5", "13 June", "7.51", "11", "29.2%"], ["8", "8", "Live final", "17 June", "11.58", "1", "43.7%"], ["11", "11", "Semi-final 1", "14 June", "8.36", "9", "34.0%"], ["9", "9", "Live final results", "17 June", "11.45", "2", "44.7%"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["10", "10", "Series average", "2007", "8.38", "TBC", "34%"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the years in which orchestras that have given more than one performance are founded.	[]	2,048	Answer:
Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["1", "London Symphony Orchestra", "1", "Mercury Records", "2003.0", "CD"], ["3", "Royal Concertgebouw Orchestra", "3", "Philips", "2008.0", "CD"], ["7", "Seattle Symphony Orchestra", "7", "Delos Records", "2002.0", "CD"], ["8", "Chicago Symphony Orchestra", "8", "Deutsche Grammophon", "2003.0", "CD"], ["12", "San Francisco Symphony Orchestra", "12", "RCA", "2008.0", "CD"], ["10", "Philharmonia Orchestra", "10", "Koch Records / Naxos Records", "2006.0", "CD"], ["2", "Columbia Symphony Orchestra", "2", "Columbia Masterworks", "2009.0", "CD / LP"], ["6", "Montreal Symphony Orchestra", "6", "Decca Records", "2004.0", "CD"], ["5", "Detroit Symphony Orchestra", "5", "Decca Records", "2002.0", "CD"], ["9", "Kirov Orchestra", "9", "Philips Classics Records", "2008.0", "CD"], ["4", "Royal Danish Orchestra", "4", "Kultur", "2002.0", "DVD"]]Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["1", "1", "Auditions 1", "9 June", "5.2", "12", "22.7%"], ["4", "4", "Auditions 4", "12 June", "7.39", "13", "29.3%"], ["2", "2", "Auditions 2", "10 June", "6.73", "8", "28.0%"], ["3", "3", "Auditions 3", "11 June", "7.28", "15", "29.4%"], ["5", "5", "Auditions 5", "13 June", "7.51", "11", "29.2%"], ["6", "6", "Semi-final 2", "15 June", "9.28", "8", "38.1%"], ["7", "7", "Semi-final 3", "16 June", "9.29", "7", "40.9%"], ["8", "8", "Live final", "17 June", "11.58", "1", "43.7%"], ["11", "11", "Semi-final 1", "14 June", "8.36", "9", "34.0%"]]Table orchestra: [["Orchestra_ID", "Orchestra", "Conductor_ID", "Record_Company", "Year_of_Founded", "Major_Record_Format"], ["11", "Orchestre de Paris", "11", "EMI", "2007.0", "CD"]]Table performance: [["Performance_ID", "Orchestra_ID", "Type", "Date", "Official_ratings_(millions)", "Weekly_rank", "Share"], ["9", "9", "Live final results", "17 June", "11.45", "2", "44.7%"], ["10", "10", "Series average", "2007", "8.38", "TBC", "34%"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are years of founding for orchestras that have had more than a single performance?	[]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1510", "Jordan", "9"], ["1501", "Jessica", "11"], ["1934", "Kyle", "12"], ["1101", "Haley", "10"], ["1316", "Austin", "11"], ["1304", "Jordan", "12"], ["1689", "Gabriel", "9"], ["1468", "Kris", "10"], ["1641", "Brittany", "10"], ["1025", "John", "12"], ["1911", "Gabriel", "11"], ["1381", "Tiffany", "9"], ["1247", "Alexis", "11"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:How many high schoolers are there?	[["16"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1934", "Kyle", "12"], ["1468", "Kris", "10"], ["1101", "Haley", "10"], ["1689", "Gabriel", "9"], ["1911", "Gabriel", "11"], ["1501", "Jessica", "11"], ["1510", "Jordan", "9"], ["1316", "Austin", "11"], ["1025", "John", "12"], ["1641", "Brittany", "10"], ["1304", "Jordan", "12"], ["1381", "Tiffany", "9"], ["1247", "Alexis", "11"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Count the number of high schoolers.	[["16"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1510", "Jordan", "9"], ["1468", "Kris", "10"], ["1501", "Jessica", "11"], ["1934", "Kyle", "12"], ["1689", "Gabriel", "9"], ["1304", "Jordan", "12"], ["1641", "Brittany", "10"], ["1316", "Austin", "11"], ["1381", "Tiffany", "9"], ["1911", "Gabriel", "11"], ["1247", "Alexis", "11"], ["1025", "John", "12"], ["1101", "Haley", "10"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the names and grades of each high schooler.	[["Jordan", "9"], ["Gabriel", "9"], ["Tiffany", "9"], ["Cassandra", "9"], ["Haley", "10"], ["Andrew", "10"], ["Kris", "10"], ["Brittany", "10"], ["Alexis", "11"], ["Austin", "11"], ["Gabriel", "11"], ["Jessica", "11"], ["Jordan", "12"], ["John", "12"], ["Kyle", "12"], ["Logan", "12"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1510", "Jordan", "9"], ["1661", "Logan", "12"], ["1501", "Jessica", "11"], ["1468", "Kris", "10"], ["1304", "Jordan", "12"], ["1934", "Kyle", "12"], ["1316", "Austin", "11"], ["1689", "Gabriel", "9"], ["1025", "John", "12"], ["1641", "Brittany", "10"], ["1381", "Tiffany", "9"], ["1101", "Haley", "10"], ["1247", "Alexis", "11"], ["1911", "Gabriel", "11"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names and grades for each high schooler?	[["Jordan", "9"], ["Gabriel", "9"], ["Tiffany", "9"], ["Cassandra", "9"], ["Haley", "10"], ["Andrew", "10"], ["Kris", "10"], ["Brittany", "10"], ["Alexis", "11"], ["Austin", "11"], ["Gabriel", "11"], ["Jessica", "11"], ["Jordan", "12"], ["John", "12"], ["Kyle", "12"], ["Logan", "12"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1510", "Jordan", "9"], ["1934", "Kyle", "12"], ["1468", "Kris", "10"], ["1689", "Gabriel", "9"], ["1304", "Jordan", "12"], ["1641", "Brittany", "10"], ["1501", "Jessica", "11"], ["1911", "Gabriel", "11"], ["1316", "Austin", "11"], ["1381", "Tiffany", "9"], ["1101", "Haley", "10"], ["1247", "Alexis", "11"], ["1025", "John", "12"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show all the grades of the high schoolers.	[["9"], ["9"], ["9"], ["9"], ["10"], ["10"], ["10"], ["10"], ["11"], ["11"], ["11"], ["11"], ["12"], ["12"], ["12"], ["12"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1510", "Jordan", "9"], ["1501", "Jessica", "11"], ["1934", "Kyle", "12"], ["1304", "Jordan", "12"], ["1468", "Kris", "10"], ["1316", "Austin", "11"], ["1911", "Gabriel", "11"], ["1101", "Haley", "10"], ["1689", "Gabriel", "9"], ["1641", "Brittany", "10"], ["1247", "Alexis", "11"], ["1025", "John", "12"], ["1381", "Tiffany", "9"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What is the grade of each high schooler?	[["9"], ["9"], ["9"], ["9"], ["10"], ["10"], ["10"], ["10"], ["11"], ["11"], ["11"], ["11"], ["12"], ["12"], ["12"], ["12"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1661", "Logan", "12"], ["1689", "Gabriel", "9"], ["1501", "Jessica", "11"], ["1911", "Gabriel", "11"], ["1468", "Kris", "10"], ["1316", "Austin", "11"], ["1304", "Jordan", "12"], ["1510", "Jordan", "9"], ["1641", "Brittany", "10"], ["1025", "John", "12"], ["1101", "Haley", "10"], ["1247", "Alexis", "11"], ["1381", "Tiffany", "9"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What grade is Kyle in?	[["12"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1661", "Logan", "12"], ["1689", "Gabriel", "9"], ["1468", "Kris", "10"], ["1501", "Jessica", "11"], ["1911", "Gabriel", "11"], ["1510", "Jordan", "9"], ["1304", "Jordan", "12"], ["1641", "Brittany", "10"], ["1025", "John", "12"], ["1316", "Austin", "11"], ["1101", "Haley", "10"], ["1247", "Alexis", "11"], ["1381", "Tiffany", "9"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the grade for the high schooler named Kyle.	[["12"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1641", "Brittany", "10"], ["1468", "Kris", "10"], ["1661", "Logan", "12"], ["1510", "Jordan", "9"], ["1501", "Jessica", "11"], ["1101", "Haley", "10"], ["1782", "Andrew", "10"], ["1689", "Gabriel", "9"], ["1911", "Gabriel", "11"], ["1316", "Austin", "11"], ["1304", "Jordan", "12"], ["1247", "Alexis", "11"], ["1381", "Tiffany", "9"], ["1025", "John", "12"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the names of all high schoolers in grade 10.	[["Haley"], ["Andrew"], ["Kris"], ["Brittany"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1641", "Brittany", "10"], ["1468", "Kris", "10"], ["1101", "Haley", "10"], ["1501", "Jessica", "11"], ["1510", "Jordan", "9"], ["1661", "Logan", "12"], ["1782", "Andrew", "10"], ["1316", "Austin", "11"], ["1911", "Gabriel", "11"], ["1689", "Gabriel", "9"], ["1381", "Tiffany", "9"], ["1304", "Jordan", "12"], ["1247", "Alexis", "11"], ["1025", "John", "12"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of all high schoolers in grade 10?	[["Haley"], ["Andrew"], ["Kris"], ["Brittany"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1661", "Logan", "12"], ["1468", "Kris", "10"], ["1501", "Jessica", "11"], ["1689", "Gabriel", "9"], ["1381", "Tiffany", "9"], ["1510", "Jordan", "9"], ["1316", "Austin", "11"], ["1304", "Jordan", "12"], ["1911", "Gabriel", "11"], ["1025", "John", "12"], ["1101", "Haley", "10"], ["1641", "Brittany", "10"], ["1247", "Alexis", "11"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the ID of the high schooler named Kyle.	[["1934"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1468", "Kris", "10"], ["1661", "Logan", "12"], ["1501", "Jessica", "11"], ["1304", "Jordan", "12"], ["1247", "Alexis", "11"], ["1316", "Austin", "11"], ["1101", "Haley", "10"], ["1689", "Gabriel", "9"], ["1381", "Tiffany", "9"], ["1025", "John", "12"], ["1641", "Brittany", "10"], ["1911", "Gabriel", "11"], ["1510", "Jordan", "9"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What is Kyle's id?	[["1934"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1510", "Jordan", "9"], ["1468", "Kris", "10"], ["1641", "Brittany", "10"], ["1934", "Kyle", "12"], ["1689", "Gabriel", "9"], ["1101", "Haley", "10"], ["1501", "Jessica", "11"], ["1782", "Andrew", "10"], ["1381", "Tiffany", "9"], ["1661", "Logan", "12"], ["1911", "Gabriel", "11"], ["1304", "Jordan", "12"], ["1316", "Austin", "11"], ["1709", "Cassandra", "9"], ["1247", "Alexis", "11"], ["1025", "John", "12"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:How many high schoolers are there in grade 9 or 10?	[["8"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1468", "Kris", "10"], ["1689", "Gabriel", "9"], ["1641", "Brittany", "10"], ["1934", "Kyle", "12"], ["1510", "Jordan", "9"], ["1661", "Logan", "12"], ["1101", "Haley", "10"], ["1782", "Andrew", "10"], ["1501", "Jessica", "11"], ["1911", "Gabriel", "11"], ["1381", "Tiffany", "9"], ["1304", "Jordan", "12"], ["1025", "John", "12"], ["1247", "Alexis", "11"], ["1316", "Austin", "11"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Count the number of high schoolers in grades 9 or 10.	[["8"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1510", "Jordan", "9"], ["1501", "Jessica", "11"], ["1934", "Kyle", "12"], ["1316", "Austin", "11"], ["1468", "Kris", "10"], ["1911", "Gabriel", "11"], ["1304", "Jordan", "12"], ["1689", "Gabriel", "9"], ["1641", "Brittany", "10"], ["1101", "Haley", "10"], ["1247", "Alexis", "11"], ["1025", "John", "12"], ["1381", "Tiffany", "9"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the number of high schoolers for each grade.	[["9", "4"], ["10", "4"], ["11", "4"], ["12", "4"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1934", "Kyle", "12"], ["1501", "Jessica", "11"], ["1510", "Jordan", "9"], ["1316", "Austin", "11"], ["1304", "Jordan", "12"], ["1911", "Gabriel", "11"], ["1689", "Gabriel", "9"], ["1468", "Kris", "10"], ["1641", "Brittany", "10"], ["1101", "Haley", "10"], ["1025", "John", "12"], ["1247", "Alexis", "11"], ["1381", "Tiffany", "9"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:How many high schoolers are in each grade?	[["9", "4"], ["10", "4"], ["11", "4"], ["12", "4"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1934", "Kyle", "12"], ["1911", "Gabriel", "11"], ["1510", "Jordan", "9"], ["1316", "Austin", "11"], ["1501", "Jessica", "11"], ["1689", "Gabriel", "9"], ["1468", "Kris", "10"], ["1641", "Brittany", "10"], ["1101", "Haley", "10"], ["1304", "Jordan", "12"], ["1381", "Tiffany", "9"], ["1247", "Alexis", "11"], ["1025", "John", "12"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Which grade has the most high schoolers?	[["12"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1911", "Gabriel", "11"], ["1510", "Jordan", "9"], ["1689", "Gabriel", "9"], ["1304", "Jordan", "12"], ["1501", "Jessica", "11"], ["1934", "Kyle", "12"], ["1468", "Kris", "10"], ["1316", "Austin", "11"], ["1025", "John", "12"], ["1101", "Haley", "10"], ["1641", "Brittany", "10"], ["1247", "Alexis", "11"], ["1381", "Tiffany", "9"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the grade that has the greatest number of high schoolers.	[["12"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1304", "Jordan", "12"], ["1661", "Logan", "12"], ["1510", "Jordan", "9"], ["1501", "Jessica", "11"], ["1934", "Kyle", "12"], ["1911", "Gabriel", "11"], ["1247", "Alexis", "11"], ["1316", "Austin", "11"], ["1468", "Kris", "10"], ["1689", "Gabriel", "9"], ["1641", "Brittany", "10"], ["1025", "John", "12"], ["1101", "Haley", "10"], ["1782", "Andrew", "10"], ["1381", "Tiffany", "9"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show me all grades that have at least 4 students.	[["9"], ["10"], ["11"], ["12"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1304", "Jordan", "12"], ["1661", "Logan", "12"], ["1934", "Kyle", "12"], ["1510", "Jordan", "9"], ["1501", "Jessica", "11"], ["1911", "Gabriel", "11"], ["1316", "Austin", "11"], ["1468", "Kris", "10"], ["1025", "John", "12"], ["1689", "Gabriel", "9"], ["1641", "Brittany", "10"], ["1247", "Alexis", "11"], ["1782", "Andrew", "10"], ["1101", "Haley", "10"], ["1381", "Tiffany", "9"], ["1709", "Cassandra", "9"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Which grades have 4 or more high schoolers?	[["9"], ["10"], ["11"], ["12"]]	2,048	Answer:
Table Friend: [["student_id", "friend_id"], ["1468", "1641"], ["1381", "1247"], ["1101", "1641"], ["1316", "1934"], ["1510", "1689"], ["1247", "1501"], ["1304", "1661"], ["1510", "1381"], ["1709", "1247"], ["1661", "1025"], ["1468", "1101"], ["1247", "1911"], ["1501", "1934"], ["1689", "1709"], ["1934", "1304"], ["1782", "1316"], ["1911", "1501"], ["1782", "1304"], ["1782", "1468"], ["1689", "1782"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the student IDs and numbers of friends corresponding to each.	[["1101", "1"], ["1247", "2"], ["1304", "1"], ["1316", "1"], ["1381", "1"], ["1468", "2"], ["1501", "1"], ["1510", "2"], ["1661", "1"], ["1689", "2"], ["1709", "1"], ["1782", "3"], ["1911", "1"], ["1934", "1"]]	2,048	Answer:
Table Friend: [["student_id", "friend_id"], ["1316", "1934"], ["1381", "1247"], ["1247", "1501"], ["1468", "1641"], ["1510", "1381"], ["1304", "1661"], ["1101", "1641"], ["1510", "1689"], ["1661", "1025"], ["1709", "1247"], ["1501", "1934"], ["1934", "1304"], ["1468", "1101"], ["1782", "1316"], ["1782", "1304"], ["1247", "1911"], ["1689", "1709"], ["1782", "1468"], ["1911", "1501"], ["1689", "1782"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:How many friends does each student have?	[["1101", "1"], ["1247", "2"], ["1304", "1"], ["1316", "1"], ["1381", "1"], ["1468", "2"], ["1501", "1"], ["1510", "2"], ["1661", "1"], ["1689", "2"], ["1709", "1"], ["1782", "3"], ["1911", "1"], ["1934", "1"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1501", "Jessica", "11"], ["1468", "Kris", "10"], ["1510", "Jordan", "9"], ["1316", "Austin", "11"], ["1381", "Tiffany", "9"], ["1934", "Kyle", "12"], ["1247", "Alexis", "11"], ["1304", "Jordan", "12"], ["1641", "Brittany", "10"], ["1689", "Gabriel", "9"], ["1101", "Haley", "10"], ["1025", "John", "12"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"]]Table Highschooler: [["ID", "name", "grade"], ["1911", "Gabriel", "11"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1304", "1661"], ["1510", "1689"], ["1101", "1641"], ["1661", "1025"], ["1501", "1934"], ["1381", "1247"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1316", "1934"], ["1468", "1101"], ["1510", "1381"], ["1247", "1501"], ["1934", "1304"], ["1689", "1709"], ["1911", "1501"], ["1709", "1247"], ["1247", "1911"], ["1689", "1782"], ["1782", "1468"], ["1782", "1304"], ["1782", "1316"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the names of high school students and their corresponding number of friends.	[["Haley", "1"], ["Alexis", "2"], ["Jordan", "1"], ["Austin", "1"], ["Tiffany", "1"], ["Kris", "2"], ["Jessica", "1"], ["Jordan", "2"], ["Logan", "1"], ["Gabriel", "2"], ["Cassandra", "1"], ["Andrew", "3"], ["Gabriel", "1"], ["Kyle", "1"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1501", "Jessica", "11"], ["1661", "Logan", "12"], ["1316", "Austin", "11"], ["1381", "Tiffany", "9"], ["1468", "Kris", "10"], ["1510", "Jordan", "9"], ["1247", "Alexis", "11"], ["1641", "Brittany", "10"], ["1304", "Jordan", "12"], ["1025", "John", "12"], ["1101", "Haley", "10"], ["1689", "Gabriel", "9"], ["1911", "Gabriel", "11"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"], ["1316", "1934"]]Table Highschooler: [["ID", "name", "grade"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1501", "1934"], ["1934", "1304"], ["1381", "1247"], ["1510", "1381"], ["1510", "1689"], ["1304", "1661"], ["1101", "1641"], ["1661", "1025"], ["1247", "1501"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1468", "1101"], ["1782", "1316"], ["1911", "1501"], ["1782", "1468"], ["1247", "1911"], ["1782", "1304"], ["1689", "1782"], ["1709", "1247"], ["1689", "1709"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of the high schoolers and how many friends does each have?	[["Haley", "1"], ["Alexis", "2"], ["Jordan", "1"], ["Austin", "1"], ["Tiffany", "1"], ["Kris", "2"], ["Jessica", "1"], ["Jordan", "2"], ["Logan", "1"], ["Gabriel", "2"], ["Cassandra", "1"], ["Andrew", "3"], ["Gabriel", "1"], ["Kyle", "1"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1661", "Logan", "12"], ["1381", "Tiffany", "9"], ["1501", "Jessica", "11"], ["1316", "Austin", "11"], ["1510", "Jordan", "9"], ["1468", "Kris", "10"], ["1025", "John", "12"], ["1689", "Gabriel", "9"], ["1911", "Gabriel", "11"], ["1101", "Haley", "10"], ["1247", "Alexis", "11"], ["1304", "Jordan", "12"], ["1641", "Brittany", "10"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1316", "1934"], ["1510", "1689"], ["1501", "1934"], ["1468", "1641"], ["1934", "1304"], ["1510", "1381"], ["1661", "1025"], ["1304", "1661"], ["1468", "1101"], ["1911", "1501"], ["1782", "1468"], ["1782", "1304"], ["1782", "1316"], ["1101", "1641"], ["1689", "1782"], ["1381", "1247"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1247", "1911"], ["1689", "1709"], ["1247", "1501"], ["1709", "1247"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What is the name of the high schooler who has the greatest number of friends?	[["Andrew"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1501", "Jessica", "11"], ["1468", "Kris", "10"], ["1510", "Jordan", "9"], ["1247", "Alexis", "11"], ["1316", "Austin", "11"], ["1025", "John", "12"], ["1934", "Kyle", "12"], ["1304", "Jordan", "12"], ["1101", "Haley", "10"], ["1381", "Tiffany", "9"], ["1641", "Brittany", "10"], ["1689", "Gabriel", "9"], ["1911", "Gabriel", "11"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"], ["1304", "1661"], ["1661", "1025"], ["1510", "1381"], ["1510", "1689"], ["1468", "1101"], ["1934", "1304"], ["1101", "1641"], ["1501", "1934"], ["1911", "1501"], ["1782", "1304"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1316", "1934"], ["1247", "1501"], ["1381", "1247"], ["1782", "1468"], ["1782", "1316"], ["1247", "1911"], ["1689", "1782"], ["1689", "1709"], ["1709", "1247"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the name of the high school student with the most friends.	[["Andrew"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1501", "Jessica", "11"], ["1934", "Kyle", "12"], ["1316", "Austin", "11"], ["1468", "Kris", "10"], ["1381", "Tiffany", "9"], ["1510", "Jordan", "9"], ["1304", "Jordan", "12"], ["1247", "Alexis", "11"], ["1689", "Gabriel", "9"], ["1641", "Brittany", "10"], ["1025", "John", "12"], ["1101", "Haley", "10"], ["1911", "Gabriel", "11"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"]]Table Highschooler: [["ID", "name", "grade"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1510", "1689"], ["1501", "1934"], ["1304", "1661"], ["1934", "1304"], ["1510", "1381"], ["1316", "1934"], ["1381", "1247"], ["1101", "1641"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1661", "1025"], ["1468", "1101"], ["1247", "1501"], ["1911", "1501"], ["1782", "1468"], ["1247", "1911"], ["1782", "1304"], ["1689", "1782"], ["1689", "1709"], ["1782", "1316"], ["1709", "1247"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the names of high schoolers who have at least 3 friends.	[["Andrew"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1501", "Jessica", "11"], ["1934", "Kyle", "12"], ["1316", "Austin", "11"], ["1661", "Logan", "12"], ["1381", "Tiffany", "9"], ["1510", "Jordan", "9"], ["1468", "Kris", "10"], ["1304", "Jordan", "12"], ["1247", "Alexis", "11"], ["1025", "John", "12"], ["1641", "Brittany", "10"], ["1689", "Gabriel", "9"], ["1911", "Gabriel", "11"], ["1101", "Haley", "10"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"], ["1501", "1934"], ["1316", "1934"], ["1510", "1689"], ["1934", "1304"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1510", "1381"], ["1304", "1661"], ["1381", "1247"], ["1661", "1025"], ["1247", "1501"], ["1468", "1101"], ["1101", "1641"], ["1911", "1501"], ["1782", "1468"], ["1782", "1304"], ["1782", "1316"], ["1247", "1911"], ["1689", "1782"], ["1689", "1709"], ["1709", "1247"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of high schoolers who have 3 or more friends?	[["Andrew"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1661", "Logan", "12"], ["1501", "Jessica", "11"], ["1468", "Kris", "10"], ["1689", "Gabriel", "9"], ["1316", "Austin", "11"], ["1381", "Tiffany", "9"], ["1641", "Brittany", "10"], ["1247", "Alexis", "11"], ["1304", "Jordan", "12"], ["1510", "Jordan", "9"], ["1025", "John", "12"], ["1911", "Gabriel", "11"], ["1101", "Haley", "10"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"], ["1316", "1934"], ["1501", "1934"], ["1510", "1689"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1381", "1247"], ["1934", "1304"], ["1689", "1782"], ["1304", "1661"], ["1247", "1501"], ["1661", "1025"], ["1689", "1709"], ["1247", "1911"], ["1101", "1641"], ["1911", "1501"], ["1510", "1381"], ["1468", "1101"], ["1782", "1468"], ["1782", "1316"], ["1782", "1304"], ["1709", "1247"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the names of all of the high schooler Kyle's friends.	[["Jordan"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1661", "Logan", "12"], ["1501", "Jessica", "11"], ["1468", "Kris", "10"], ["1689", "Gabriel", "9"], ["1025", "John", "12"], ["1304", "Jordan", "12"], ["1247", "Alexis", "11"], ["1316", "Austin", "11"], ["1510", "Jordan", "9"], ["1641", "Brittany", "10"], ["1381", "Tiffany", "9"], ["1101", "Haley", "10"], ["1911", "Gabriel", "11"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"], ["1501", "1934"], ["1381", "1247"], ["1304", "1661"], ["1247", "1501"], ["1510", "1381"], ["1661", "1025"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1468", "1101"], ["1510", "1689"], ["1101", "1641"], ["1934", "1304"], ["1316", "1934"], ["1911", "1501"], ["1689", "1709"], ["1247", "1911"], ["1689", "1782"], ["1782", "1468"], ["1782", "1304"], ["1709", "1247"], ["1782", "1316"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Return the names of friends of the high school student Kyle.	[["Jordan"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1661", "Logan", "12"], ["1501", "Jessica", "11"], ["1468", "Kris", "10"], ["1316", "Austin", "11"], ["1304", "Jordan", "12"], ["1025", "John", "12"], ["1689", "Gabriel", "9"], ["1381", "Tiffany", "9"], ["1247", "Alexis", "11"], ["1641", "Brittany", "10"], ["1510", "Jordan", "9"], ["1101", "Haley", "10"], ["1911", "Gabriel", "11"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"]]Table Highschooler: [["ID", "name", "grade"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1316", "1934"], ["1381", "1247"], ["1247", "1501"], ["1501", "1934"], ["1304", "1661"], ["1468", "1101"], ["1101", "1641"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1510", "1381"], ["1934", "1304"], ["1661", "1025"], ["1510", "1689"], ["1911", "1501"], ["1247", "1911"], ["1782", "1304"], ["1782", "1316"], ["1689", "1709"], ["1689", "1782"], ["1782", "1468"], ["1709", "1247"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:How many friends does the high school student Kyle have?	[["1"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1934", "Kyle", "12"], ["1661", "Logan", "12"], ["1468", "Kris", "10"], ["1501", "Jessica", "11"], ["1025", "John", "12"], ["1316", "Austin", "11"], ["1247", "Alexis", "11"], ["1689", "Gabriel", "9"], ["1381", "Tiffany", "9"], ["1101", "Haley", "10"], ["1641", "Brittany", "10"], ["1911", "Gabriel", "11"], ["1304", "Jordan", "12"], ["1782", "Andrew", "10"], ["1510", "Jordan", "9"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"], ["1247", "1501"], ["1316", "1934"], ["1381", "1247"], ["1468", "1101"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1661", "1025"], ["1101", "1641"], ["1304", "1661"], ["1501", "1934"], ["1689", "1709"], ["1782", "1316"], ["1689", "1782"], ["1709", "1247"], ["1782", "1468"], ["1510", "1689"], ["1934", "1304"], ["1247", "1911"], ["1510", "1381"], ["1782", "1304"], ["1911", "1501"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Count the number of friends Kyle has.	[["1"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1247", "Alexis", "11"], ["1316", "Austin", "11"], ["1510", "Jordan", "9"], ["1501", "Jessica", "11"], ["1468", "Kris", "10"], ["1661", "Logan", "12"], ["1304", "Jordan", "12"], ["1934", "Kyle", "12"], ["1025", "John", "12"], ["1101", "Haley", "10"], ["1381", "Tiffany", "9"], ["1641", "Brittany", "10"], ["1911", "Gabriel", "11"]]Table Friend: [["student_id", "friend_id"], ["1381", "1247"], ["1247", "1501"]]Table Highschooler: [["ID", "name", "grade"], ["1689", "Gabriel", "9"]]Table Friend: [["student_id", "friend_id"], ["1316", "1934"], ["1468", "1641"]]Table Highschooler: [["ID", "name", "grade"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1101", "1641"], ["1468", "1101"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1510", "1381"], ["1709", "1247"], ["1247", "1911"], ["1304", "1661"], ["1934", "1304"], ["1661", "1025"], ["1501", "1934"], ["1510", "1689"], ["1782", "1316"], ["1782", "1304"], ["1911", "1501"], ["1782", "1468"], ["1689", "1709"], ["1689", "1782"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show ids of all students who do not have any friends.	[["1025"], ["1641"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1316", "Austin", "11"], ["1501", "Jessica", "11"], ["1247", "Alexis", "11"], ["1510", "Jordan", "9"], ["1468", "Kris", "10"], ["1304", "Jordan", "12"], ["1381", "Tiffany", "9"], ["1661", "Logan", "12"], ["1101", "Haley", "10"], ["1934", "Kyle", "12"], ["1025", "John", "12"], ["1641", "Brittany", "10"], ["1911", "Gabriel", "11"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"]]Table Highschooler: [["ID", "name", "grade"], ["1689", "Gabriel", "9"]]Table Friend: [["student_id", "friend_id"], ["1468", "1101"], ["1247", "1501"]]Table Highschooler: [["ID", "name", "grade"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1381", "1247"], ["1101", "1641"], ["1316", "1934"], ["1510", "1381"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1501", "1934"], ["1934", "1304"], ["1247", "1911"], ["1304", "1661"], ["1782", "1316"], ["1911", "1501"], ["1510", "1689"], ["1782", "1304"], ["1709", "1247"], ["1661", "1025"], ["1782", "1468"], ["1689", "1782"], ["1689", "1709"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the ids of high school students who do not have friends?	[["1025"], ["1641"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1661", "Logan", "12"], ["1316", "Austin", "11"], ["1510", "Jordan", "9"], ["1247", "Alexis", "11"], ["1501", "Jessica", "11"], ["1468", "Kris", "10"], ["1304", "Jordan", "12"], ["1934", "Kyle", "12"], ["1381", "Tiffany", "9"], ["1025", "John", "12"], ["1101", "Haley", "10"], ["1641", "Brittany", "10"], ["1689", "Gabriel", "9"], ["1911", "Gabriel", "11"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"], ["1381", "1247"]]Table Highschooler: [["ID", "name", "grade"], ["1782", "Andrew", "10"]]Table Friend: [["student_id", "friend_id"], ["1316", "1934"]]Table Highschooler: [["ID", "name", "grade"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1101", "1641"], ["1247", "1501"], ["1510", "1381"], ["1934", "1304"], ["1468", "1101"], ["1304", "1661"], ["1501", "1934"], ["1661", "1025"], ["1510", "1689"], ["1709", "1247"], ["1247", "1911"], ["1782", "1304"], ["1782", "1316"], ["1782", "1468"], ["1911", "1501"], ["1689", "1709"], ["1689", "1782"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show names of all high school students who do not have any friends.	[["Brittany"], ["John"]]	2,048	Answer:
Table Highschooler: [["ID", "name", "grade"], ["1501", "Jessica", "11"], ["1247", "Alexis", "11"], ["1661", "Logan", "12"], ["1316", "Austin", "11"], ["1510", "Jordan", "9"], ["1934", "Kyle", "12"], ["1468", "Kris", "10"], ["1381", "Tiffany", "9"], ["1025", "John", "12"], ["1304", "Jordan", "12"], ["1641", "Brittany", "10"], ["1101", "Haley", "10"], ["1911", "Gabriel", "11"], ["1689", "Gabriel", "9"]]Table Friend: [["student_id", "friend_id"], ["1316", "1934"]]Table Highschooler: [["ID", "name", "grade"], ["1782", "Andrew", "10"], ["1709", "Cassandra", "9"]]Table Friend: [["student_id", "friend_id"], ["1381", "1247"], ["1510", "1381"], ["1247", "1501"], ["1468", "1641"], ["1934", "1304"], ["1501", "1934"], ["1101", "1641"], ["1468", "1101"], ["1661", "1025"], ["1304", "1661"], ["1510", "1689"], ["1709", "1247"], ["1247", "1911"], ["1782", "1316"], ["1782", "1304"], ["1911", "1501"], ["1782", "1468"], ["1689", "1709"], ["1689", "1782"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the names of students who have no friends?	[["Brittany"], ["John"]]	2,048	Answer:
Table Likes: [["student_id", "liked_id"], ["1641", "1468"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"]]Table Likes: [["student_id", "liked_id"], ["1501", "1934"]]Table Friend: [["student_id", "friend_id"], ["1501", "1934"], ["1510", "1381"], ["1316", "1934"]]Table Likes: [["student_id", "liked_id"], ["1316", "1304"]]Table Friend: [["student_id", "friend_id"], ["1304", "1661"], ["1510", "1689"], ["1911", "1501"], ["1468", "1101"]]Table Likes: [["student_id", "liked_id"], ["1934", "1501"]]Table Friend: [["student_id", "friend_id"], ["1381", "1247"], ["1934", "1304"], ["1101", "1641"]]Table Likes: [["student_id", "liked_id"], ["1247", "1468"]]Table Friend: [["student_id", "friend_id"], ["1661", "1025"], ["1247", "1501"], ["1782", "1468"]]Table Likes: [["student_id", "liked_id"], ["1911", "1247"]]Table Friend: [["student_id", "friend_id"], ["1247", "1911"], ["1782", "1304"], ["1782", "1316"]]Table Likes: [["student_id", "liked_id"], ["1025", "1101"]]Table Friend: [["student_id", "friend_id"], ["1689", "1782"]]Table Likes: [["student_id", "liked_id"], ["1709", "1689"], ["1689", "1709"]]Table Friend: [["student_id", "friend_id"], ["1689", "1709"], ["1709", "1247"]]Table Likes: [["student_id", "liked_id"], ["1782", "1709"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:Show the ids of high schoolers who have friends and are also liked by someone else.	[["1101"], ["1247"], ["1304"], ["1468"], ["1501"], ["1689"], ["1709"], ["1934"]]	2,048	Answer:
Table Likes: [["student_id", "liked_id"], ["1641", "1468"]]Table Friend: [["student_id", "friend_id"], ["1468", "1641"], ["1316", "1934"]]Table Likes: [["student_id", "liked_id"], ["1316", "1304"]]Table Friend: [["student_id", "friend_id"], ["1501", "1934"]]Table Likes: [["student_id", "liked_id"], ["1501", "1934"]]Table Friend: [["student_id", "friend_id"], ["1510", "1381"], ["1510", "1689"], ["1468", "1101"]]Table Likes: [["student_id", "liked_id"], ["1247", "1468"]]Table Friend: [["student_id", "friend_id"], ["1247", "1501"], ["1101", "1641"], ["1661", "1025"]]Table Likes: [["student_id", "liked_id"], ["1025", "1101"], ["1934", "1501"]]Table Friend: [["student_id", "friend_id"], ["1304", "1661"], ["1934", "1304"], ["1911", "1501"]]Table Likes: [["student_id", "liked_id"], ["1911", "1247"]]Table Friend: [["student_id", "friend_id"], ["1381", "1247"], ["1247", "1911"], ["1782", "1316"], ["1782", "1468"], ["1709", "1247"], ["1782", "1304"]]Table Likes: [["student_id", "liked_id"], ["1709", "1689"], ["1689", "1709"]]Table Friend: [["student_id", "friend_id"], ["1689", "1709"], ["1689", "1782"]]Table Likes: [["student_id", "liked_id"], ["1782", "1709"]]	You are a question-answering model specialized in tabular data. I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines: - Your response must be an array of arrays of strings. - If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple. - The answer must contain ONLY values from the provided table or the aggregated value explicitly requested. - Do NOT include headers or column names in your answer. - Do NOT include explanations or reasoning in your answer. - Do NOT repeat these instructions in your answer. - Examples Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "Show all information about each employee" Answer: [ ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"] ] Table: [["Employee_ID", "Name", "Department", "Salary"], ["101", "Alice", "HR", "50000"], ["102", "Bob", "Engineering", "75000"], ["103", "Charlie", "Marketing", "60000"]] Question: "What is the average salary?" Answer: [["61666.67"]] Question:What are the ids of students who both have friends and are liked?	[["1101"], ["1247"], ["1304"], ["1468"], ["1501"], ["1689"], ["1709"], ["1934"]]	2,048	Answer:

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