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Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Akhiok ", "AKK", "Akhiok SPB ", "United States ", "US"], ["Akutan ", "KQA", "Akutan ", "United States ", "US"], ["Akiak ", "AKI", "Akiak ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"], ["Akiachak ", "KKI", "Spb ", "United States ", "US"], ["Alakanuk ", "AUK", "Alakanuk ", "United States ", "US"], ["Anaktuvuk ", "AKP", "Anaktuvuk ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Amchitka ", "AHT", "Amchitka ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"], ["Afton ", "AFO", "Municipal ", "United States ", "US"], ["Allakaket ", "AET", "Allakaket ", "United States ", "US"], ["Aleknagik ", "WKK", "Aleknagik ", "United States ", "US"], ["Alameda ", "NGZ", "NAS ", "United States ", "US"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"], ["Alyeska ", "AQY", "Alyeska ", "United States ", "US"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"], ["Ashland ", "ASX", "Ashland ", "United States ", "US"], [" Alexandria LA ", "AEX", "Alexandria International ", "United States ", "US"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Anniston ", "RLI", "Reilly AHP ", "United States ", "US"], ["Alitak ", "ALZ", "Alitak SPB ", "United States ", "US"], ["Anvik ", "ANV", "Anvik ", "United States ", "US"], ["Athens ", "AHN", "Athens ", "United States ", "US"], [" Neptune ", "ARX", "Asbury Park ", "United States ", "US"], ["Amook ", "AOS", "Amook ", "United States ", "US"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"], ["Albuquerque ", "ABQ", "Albuquerque International ", "United States ", "US"], ["Akron/Canton OH ", "CAK", "Akron/canton Regional ", "United States ", "US"], ["Aiken ", "AIK", "Municipal ", "United States ", "US"], ["Aleneva ", "AED", "Aleneva ", "United States ", "US"], ["Anniston ", "QAW", "Ft Mcclellan Bus Trml ", "United States ", "US"], ["Anita Bay ", "AIB", "Anita Bay ", "United States ", "US"], ["Ada ", "ADT", "Ada ", "United States ", "US"], ["Angoon ", "AGN", "Angoon ", "United States ", "US"], ["Albany ", "ALB", "Albany International ", "United States ", "US"], ["Anaheim ", "ANA", "Orange County Steel Salvage Heliport ", "United States ", "US"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"], ["Albany ", "CVO", "Albany ", "United States ", "US"], ["Ardmore ", "ADM", "Ardmore Municipal Arpt ", "United States ", "US"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"], ["Ainsworth ", "ANW", "Ainsworth ", "United States ", "US"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"], ["Athens ", "ATO", "Ohio University ", "United States ", "US"], ["Abilene ", "ABI", "Municipal ", "United States ", "US"], ["Artesia ", "ATS", "Artesia ", "United States ", "US"], ["Albany ", "NAB", "Albany NAS ", "United States ", "US"], ["Alice ", "ALI", "International ", "United States ", "US"], ["Ames ", "AMW", "Ames ", "United States ", "US"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"], ["Alamogordo ", "ALM", "Municipal ", "United States ", "US"], ["Aniak ", "ANI", "Aniak ", "United States ", "US"], ["Amarillo ", "TDW", "Tradewind ", "United States ", "US"], ["Albert Lea ", "AEL", "Albert Lea ", "United States ", "US"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"], ["Altus ", "AXS", "Municipal ", "United States ", "US"], ["Amery ", "AHH", "Municipal ", "United States ", "US"], ["Arctic Village ", "ARC", "Arctic Village ", "United States ", "US"], ["Annapolis ", "ANP", "Lee ", "United States ", "US"], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"], ["Astoria ", "AST", "Astoria ", "United States ", "US"], ["Angola ", "ANQ", "Tri-State Steuben Cty ", "United States ", "US"], ["Arcata ", "ACV", "Arcata ", "United States ", "US"], ["Amityville ", "AYZ", "Zahns ", "United States ", "US"], ["Alexandria ", "AXN", "Alexandria ", "United States ", "US"], ["Alamosa ", "ALS", "Municipal ", "United States ", "US"], ["Apalachicola ", "AAF", "Municipal ", "United States ", "US"], ["Anacostia ", "NDV", "USN Heliport ", "United States ", "US"], ["Anguilla ", "RFK", "Rollang Field ", "United States ", "US"], ["Algona ", "AXG", "Algona ", "United States ", "US"], ["Alliance ", "AIA", "Alliance ", "United States ", "US"], ["Alton ", "ALN", "Alton ", "United States ", "US"], ["Aspen ", "ASE", "Aspen ", "United States ", "US"], ["Anthony ", "ANY", "Anthony ", "United States ", "US"], ["Adrian ", "ADG", "Lenawee County ", "United States ", "US"], ["Angel Fire ", "AXX", "Angel Fire ", "United States ", "US"], ["Andrews ", "ADR", "Andrews ", "United States ", "US"], ["Alpine ", "ALE", "Alpine ", "United States ", "US"], ["Anderson ", "AID", "Municipal ", "United States ", "US"], ["Apple Valley ", "APV", "Apple Valley ", "United States ", "US"], [" Aliceville AL ", "AIV", "George Downer ", "United States ", "US"], ["Athens ", "MMI", "McMinn County ", "United States ", "US"], ["Alma ", "AMN", "Gratiot Community ", "United States ", "US"], ["Annette Island ", "ANN", "Annette Island ", "United States ", "US"], ["Albany ", "ABY", "Dougherty County ", "United States ", "US"], ["Alpena ", "APN", "Alpena County Regional ", "United States ", "US"], ["Appleton ", "ATW", "Outagamie County ", "United States ", "US"], ["Ashley ", "ASY", "Ashley ", "United States ", "US"], [" Amarillo ", "AMA", "Rick Husband Amarillo International ", "United States ", "US"], ["Anacortes ", "OTS", "Anacortes ", "United States ", "US"]]	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 airport with code 'AKO'.	[["Colorado Plains Regional Airport "]]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Athens ", "MMI", "McMinn County ", "United States ", "US"], ["Ashland ", "ASX", "Ashland ", "United States ", "US"], ["Anniston ", "QAW", "Ft Mcclellan Bus Trml ", "United States ", "US"], ["Adrian ", "ADG", "Lenawee County ", "United States ", "US"], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"], ["Akiak ", "AKI", "Akiak ", "United States ", "US"], [" Neptune ", "ARX", "Asbury Park ", "United States ", "US"], ["Altus ", "AXS", "Municipal ", "United States ", "US"], ["Aleknagik ", "WKK", "Aleknagik ", "United States ", "US"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"], ["Astoria ", "AST", "Astoria ", "United States ", "US"], ["Alameda ", "NGZ", "NAS ", "United States ", "US"], ["Alakanuk ", "AUK", "Alakanuk ", "United States ", "US"], ["Allakaket ", "AET", "Allakaket ", "United States ", "US"], [" Ann Arbor MI ", "ARB", "Municipal ", "United States ", "US"], ["Albany ", "ALB", "Albany International ", "United States ", "US"], ["Ardmore ", "ADM", "Ardmore Municipal Arpt ", "United States ", "US"], ["Akutan ", "KQA", "Akutan ", "United States ", "US"], ["Akiachak ", "KKI", "Spb ", "United States ", "US"], ["Arctic Village ", "ARC", "Arctic Village ", "United States ", "US"], ["Alamogordo ", "ALM", "Municipal ", "United States ", "US"], ["Alitak ", "ALZ", "Alitak SPB ", "United States ", "US"], ["Akron/Canton OH ", "CAK", "Akron/canton Regional ", "United States ", "US"], ["Akhiok ", "AKK", "Akhiok SPB ", "United States ", "US"], ["Amook ", "AOS", "Amook ", "United States ", "US"], [" Alexandria LA ", "AEX", "Alexandria International ", "United States ", "US"], [" Aliceville AL ", "AIV", "George Downer ", "United States ", "US"], ["Anita Bay ", "AIB", "Anita Bay ", "United States ", "US"], ["Anniston ", "RLI", "Reilly AHP ", "United States ", "US"], ["Afton ", "AFO", "Municipal ", "United States ", "US"], ["Alton ", "ALN", "Alton ", "United States ", "US"], ["Alyeska ", "AQY", "Alyeska ", "United States ", "US"], ["Aiken ", "AIK", "Municipal ", "United States ", "US"], ["Abilene ", "ABI", "Municipal ", "United States ", "US"], ["Annapolis ", "ANP", "Lee ", "United States ", "US"], ["Anvik ", "ANV", "Anvik ", "United States ", "US"], ["Albuquerque ", "ABQ", "Albuquerque International ", "United States ", "US"], ["Alamosa ", "ALS", "Municipal ", "United States ", "US"], ["Athens ", "AHN", "Athens ", "United States ", "US"], ["Aspen ", "ASE", "Aspen ", "United States ", "US"], ["Aleneva ", "AED", "Aleneva ", "United States ", "US"], ["Anderson ", "AID", "Municipal ", "United States ", "US"], ["Albany ", "ABY", "Dougherty County ", "United States ", "US"], ["Albany ", "NAB", "Albany NAS ", "United States ", "US"], ["Albany ", "CVO", "Albany ", "United States ", "US"], ["Amchitka ", "AHT", "Amchitka ", "United States ", "US"], ["Apalachicola ", "AAF", "Municipal ", "United States ", "US"], ["Amery ", "AHH", "Municipal ", "United States ", "US"], ["Albert Lea ", "AEL", "Albert Lea ", "United States ", "US"], ["Anaktuvuk ", "AKP", "Anaktuvuk ", "United States ", "US"], ["Anaheim ", "ANA", "Orange County Steel Salvage Heliport ", "United States ", "US"], ["Artesia ", "ATS", "Artesia ", "United States ", "US"], ["Alpena ", "APN", "Alpena County Regional ", "United States ", "US"], ["Ainsworth ", "ANW", "Ainsworth ", "United States ", "US"], ["Amarillo ", "TDW", "Tradewind ", "United States ", "US"], ["Anacostia ", "NDV", "USN Heliport ", "United States ", "US"], ["Amityville ", "AYZ", "Zahns ", "United States ", "US"], ["Alexandria ", "AXN", "Alexandria ", "United States ", "US"], ["Angoon ", "AGN", "Angoon ", "United States ", "US"], ["Anguilla ", "RFK", "Rollang Field ", "United States ", "US"], ["Alma ", "AMN", "Gratiot Community ", "United States ", "US"], ["Alpine ", "ALE", "Alpine ", "United States ", "US"], ["Ada ", "ADT", "Ada ", "United States ", "US"], ["Apple Valley ", "APV", "Apple Valley ", "United States ", "US"], ["Aniak ", "ANI", "Aniak ", "United States ", "US"], ["Andrews ", "ADR", "Andrews ", "United States ", "US"], ["Appleton ", "ATW", "Outagamie County ", "United States ", "US"], ["Ames ", "AMW", "Ames ", "United States ", "US"], ["Angel Fire ", "AXX", "Angel Fire ", "United States ", "US"], ["Algona ", "AXG", "Algona ", "United States ", "US"], [" Amarillo ", "AMA", "Rick Husband Amarillo International ", "United States ", "US"], ["Alice ", "ALI", "International ", "United States ", "US"], ["Anderson ", "AND", "Anderson ", "United States ", "US"], ["Angola ", "ANQ", "Tri-State Steuben Cty ", "United States ", "US"], ["Annette Island ", "ANN", "Annette Island ", "United States ", "US"], ["Athens ", "ATO", "Ohio University ", "United States ", "US"], ["Arcata ", "ACV", "Arcata ", "United States ", "US"], ["Ashley ", "ASY", "Ashley ", "United States ", "US"], ["Anthony ", "ANY", "Anthony ", "United States ", "US"]]	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 airport names at City 'Aberdeen'?	[]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"], ["Anniston ", "QAW", "Ft Mcclellan Bus Trml ", "United States ", "US"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"], ["Adrian ", "ADG", "Lenawee County ", "United States ", "US"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"], ["Athens ", "MMI", "McMinn County ", "United States ", "US"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"], ["Aleknagik ", "WKK", "Aleknagik ", "United States ", "US"], ["Allakaket ", "AET", "Allakaket ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"], [" Neptune ", "ARX", "Asbury Park ", "United States ", "US"], ["Akiak ", "AKI", "Akiak ", "United States ", "US"], ["Alakanuk ", "AUK", "Alakanuk ", "United States ", "US"], ["Ashland ", "ASX", "Ashland ", "United States ", "US"], ["Anniston ", "RLI", "Reilly AHP ", "United States ", "US"], ["Arctic Village ", "ARC", "Arctic Village ", "United States ", "US"], ["Anita Bay ", "AIB", "Anita Bay ", "United States ", "US"], ["Amook ", "AOS", "Amook ", "United States ", "US"], ["Alameda ", "NGZ", "NAS ", "United States ", "US"], ["Albany ", "ALB", "Albany International ", "United States ", "US"], ["Ardmore ", "ADM", "Ardmore Municipal Arpt ", "United States ", "US"], ["Astoria ", "AST", "Astoria ", "United States ", "US"], ["Akutan ", "KQA", "Akutan ", "United States ", "US"], ["Altus ", "AXS", "Municipal ", "United States ", "US"], ["Akhiok ", "AKK", "Akhiok SPB ", "United States ", "US"], ["Annapolis ", "ANP", "Lee ", "United States ", "US"], ["Akiachak ", "KKI", "Spb ", "United States ", "US"], ["Alton ", "ALN", "Alton ", "United States ", "US"], ["Alitak ", "ALZ", "Alitak SPB ", "United States ", "US"], ["Anvik ", "ANV", "Anvik ", "United States ", "US"], ["Aleneva ", "AED", "Aleneva ", "United States ", "US"], [" Ann Arbor MI ", "ARB", "Municipal ", "United States ", "US"], ["Amchitka ", "AHT", "Amchitka ", "United States ", "US"], ["Anguilla ", "RFK", "Rollang Field ", "United States ", "US"], [" Alexandria LA ", "AEX", "Alexandria International ", "United States ", "US"], ["Artesia ", "ATS", "Artesia ", "United States ", "US"], ["Aspen ", "ASE", "Aspen ", "United States ", "US"], [" Aliceville AL ", "AIV", "George Downer ", "United States ", "US"], ["Alamogordo ", "ALM", "Municipal ", "United States ", "US"], ["Albany ", "ABY", "Dougherty County ", "United States ", "US"], ["Alyeska ", "AQY", "Alyeska ", "United States ", "US"], ["Ainsworth ", "ANW", "Ainsworth ", "United States ", "US"], ["Albert Lea ", "AEL", "Albert Lea ", "United States ", "US"], ["Alpena ", "APN", "Alpena County Regional ", "United States ", "US"], ["Angoon ", "AGN", "Angoon ", "United States ", "US"], ["Albany ", "NAB", "Albany NAS ", "United States ", "US"], ["Abilene ", "ABI", "Municipal ", "United States ", "US"], ["Amarillo ", "TDW", "Tradewind ", "United States ", "US"], ["Afton ", "AFO", "Municipal ", "United States ", "US"], ["Akron/Canton OH ", "CAK", "Akron/canton Regional ", "United States ", "US"], ["Athens ", "AHN", "Athens ", "United States ", "US"], ["Albany ", "CVO", "Albany ", "United States ", "US"], ["Albuquerque ", "ABQ", "Albuquerque International ", "United States ", "US"], ["Anaktuvuk ", "AKP", "Anaktuvuk ", "United States ", "US"], ["Alamosa ", "ALS", "Municipal ", "United States ", "US"], ["Anderson ", "AID", "Municipal ", "United States ", "US"], ["Aiken ", "AIK", "Municipal ", "United States ", "US"], ["Anaheim ", "ANA", "Orange County Steel Salvage Heliport ", "United States ", "US"], ["Andrews ", "ADR", "Andrews ", "United States ", "US"], [" Amarillo ", "AMA", "Rick Husband Amarillo International ", "United States ", "US"], ["Ada ", "ADT", "Ada ", "United States ", "US"], ["Apalachicola ", "AAF", "Municipal ", "United States ", "US"], ["Amery ", "AHH", "Municipal ", "United States ", "US"], ["Angel Fire ", "AXX", "Angel Fire ", "United States ", "US"], ["Alma ", "AMN", "Gratiot Community ", "United States ", "US"], ["Alpine ", "ALE", "Alpine ", "United States ", "US"], ["Anacostia ", "NDV", "USN Heliport ", "United States ", "US"], ["Appleton ", "ATW", "Outagamie County ", "United States ", "US"], ["Aniak ", "ANI", "Aniak ", "United States ", "US"], ["Algona ", "AXG", "Algona ", "United States ", "US"], ["Ames ", "AMW", "Ames ", "United States ", "US"], ["Alexandria ", "AXN", "Alexandria ", "United States ", "US"], ["Apple Valley ", "APV", "Apple Valley ", "United States ", "US"], ["Angola ", "ANQ", "Tri-State Steuben Cty ", "United States ", "US"], ["Amityville ", "AYZ", "Zahns ", "United States ", "US"], ["Annette Island ", "ANN", "Annette Island ", "United States ", "US"], ["Anderson ", "AND", "Anderson ", "United States ", "US"], ["Alice ", "ALI", "International ", "United States ", "US"], ["Arcata ", "ACV", "Arcata ", "United States ", "US"], ["Alliance ", "AIA", "Alliance ", "United States ", "US"], ["Antlers ", "ATE", "Antlers ", "United States ", "US"], ["Athens ", "ATO", "Ohio University ", "United States ", "US"]]	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 airports in Aberdeen?	[]	2,048	Answer:
Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "1376", " ALI", " APG"], ["2", "1377", " APG", " ALI"], ["6", "28", " ABQ", " APG"], ["4", "743", " APG", " HMN"], ["4", "742", " HMN", " APG"], ["6", "29", " APG", " ABQ"], ["1", "28", " APG", " ASY"], ["6", "479", " AEL", " APG"], ["6", "478", " APG", " AEL"], ["3", "100", " AXN", " APG"], ["1", "29", " ASY", " APG"], ["3", "101", " APG", " AXN"], ["2", "489", " APG", " VJI"], ["11", "142", " AXS", " APG"], ["11", "143", " APG", " AXS"], ["10", "1172", " APG", " AKC"], ["2", "488", " VJI", " APG"], ["11", "1079", " ADG", " ALZ"], ["10", "1173", " AKC", " APG"], ["1", "1275", " APG", " ALS"], ["1", "1274", " ALS", " APG"], ["1", "425", " AOS", " ADG"], ["1", "1068", " APN", " ALB"], ["7", "571", " ADG", " OTS"], ["8", "836", " APN", " ALB"], ["11", "1078", " ALZ", " ADG"], ["1", "424", " ADG", " AOS"], ["7", "570", " OTS", " ADG"], ["1", "1069", " ALB", " APN"], ["1", "946", " APV", " ADR"], ["2", "1076", " AXG", " ABQ"], ["8", "837", " ALB", " APN"], ["10", "383", " ALE", " APG"], ["10", "382", " APG", " ALE"], ["1", "1285", " ADG", " ADK"], ["1", "1284", " ADK", " ADG"], ["2", "791", " CVO", " APN"], ["2", "1077", " ABQ", " AXG"], ["6", "210", " AXG", " AQY"], ["2", "841", " ADT", " NGZ"], ["7", "855", " APN", " KQA"], ["10", "1391", " ABL", " ADG"], ["4", "946", " AHT", " AXG"], ["4", "626", " AIA", " AXG"], ["7", "793", " NGZ", " AIA"], ["4", "359", " AMN", " ADG"], ["1", "947", " ADR", " APV"], ["7", "337", " AUK", " AXG"], ["7", "854", " KQA", " APN"], ["2", "790", " APN", " CVO"], ["9", "829", " HMN", " ADG"], ["3", "162", " AIK", " ADT"], ["3", "1191", " ADG", " AXX"], ["7", "792", " AIA", " NGZ"], ["12", "80", " AKK", " APV"], ["6", "211", " AQY", " AXG"], ["2", "747", " AST", " ANC"], ["4", "627", " AXG", " AIA"], ["4", "358", " ADG", " AMN"], ["1", "604", " ADG", " ANN"], ["6", "1194", " AAF", " AXG"], ["7", "409", " ADG", " AMN"], ["3", "439", " AUK", " AFO"], ["12", "327", " AOS", " ATO"], ["3", "826", " ABQ", " AEL"], ["3", "1186", " ANB", " AET"], ["11", "741", " OTS", " AXG"], ["9", "828", " ADG", " HMN"], ["6", "1195", " AXG", " AAF"], ["5", "135", " ADT", " AFO"], ["4", "838", " APV", " ALM"], ["4", "947", " AXG", " AHT"], ["7", "1071", " ARB", " AET"], ["8", "640", " ABQ", " AOS"], ["7", "336", " AXG", " AUK"], ["2", "840", " NGZ", " ADT"], ["3", "1190", " AXX", " ADG"], ["2", "14", " APV", " ALX"], ["2", "1021", " ADG", " ANP"], ["10", "1390", " ADG", " ABL"], ["4", "839", " ALM", " APV"], ["5", "134", " AFO", " ADT"], ["3", "438", " AFO", " AUK"], ["12", "81", " APV", " AKK"], ["11", "240", " ARC", " AXG"], ["7", "408", " AMN", " ADG"], ["5", "432", " APV", " TDW"], ["11", "330", " AXG", " LTS"], ["11", "566", " LTS", " AET"], ["1", "605", " ANN", " ADG"], ["1", "199", " AAF", " NGZ"], ["11", "135", " ADG", " NDV"], ["5", "433", " TDW", " APV"], ["8", "421", " ADT", " AKP"], ["1", "560", " AHF", " ATO"], ["1", "1166", " ABQ", " AAF"], ["3", "1187", " AET", " ANB"], ["2", "15", " ALX", " APV"], ["3", "827", " AEL", " ABQ"], ["11", "134", " NDV", " ADG"], ["9", "882", " ADT", " ALZ"], ["9", "883", " ALZ", " ADT"], ["1", "1063", " AFO", " AQY"], ["6", "741", " AXG", " HMN"], ["3", "163", " ADT", " AIK"], ["11", "241", " AXG", " ARC"], ["9", "313", " ALN", " AXG"], ["10", "469", " APV", " AAF"], ["8", "641", " AOS", " ABQ"], ["8", "1418", " AEL", " ATS"], ["8", "1419", " ATS", " AEL"], ["4", "167", " AKI", " AAF"], ["12", "326", " ATO", " AOS"], ["7", "295", " AKP", " AET"], ["3", "334", " ALI", " ATW"], ["3", "904", " APV", " ANV"], ["4", "297", " AFO", " AIV"], ["2", "1020", " ANP", " ADG"], ["12", "946", " AXG", " AKK"], ["11", "640", " AND", " AIA"], ["1", "1167", " AAF", " ABQ"], ["11", "436", " ABQ", " AND"], ["1", "924", " AXG", " ASX"], ["10", "468", " AAF", " APV"], ["11", "641", " AIA", " AND"], ["8", "1309", " ALS", " ADG"], ["3", "244", " EDF", " AHT"], ["6", "253", " ANY", " AXG"], ["9", "312", " AXG", " ALN"], ["6", "252", " AXG", " ANY"], ["1", "1062", " AQY", " AFO"], ["7", "663", " AKO", " ATS"], ["8", "1281", " AET", " ATO"], ["11", "505", " AKO", " AAF"], ["2", "989", " ADG", " ALS"], ["3", "923", " AAF", " ASY"], ["7", "250", " AXS", " ATS"], ["3", "963", " ALI", " NGZ"], ["8", "420", " AKP", " ADT"], ["11", "567", " AET", " LTS"], ["2", "921", " ASX", " AET"], ["1", "327", " ALI", " ALX"], ["3", "922", " ASY", " AAF"], ["4", "340", " ADM", " AST"], ["6", "179", " ALI", " ABQ"]]	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 flights depart from 'APG'?	[["0"]]	2,048	Answer:
Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "1377", " APG", " ALI"], ["4", "742", " HMN", " APG"], ["2", "1376", " ALI", " APG"], ["4", "743", " APG", " HMN"], ["6", "478", " APG", " AEL"], ["6", "28", " ABQ", " APG"], ["1", "28", " APG", " ASY"], ["6", "479", " AEL", " APG"], ["6", "29", " APG", " ABQ"], ["3", "100", " AXN", " APG"], ["10", "1172", " APG", " AKC"], ["10", "1173", " AKC", " APG"], ["3", "101", " APG", " AXN"], ["7", "571", " ADG", " OTS"], ["1", "425", " AOS", " ADG"], ["1", "29", " ASY", " APG"], ["11", "143", " APG", " AXS"], ["11", "1079", " ADG", " ALZ"], ["1", "1068", " APN", " ALB"], ["1", "1275", " APG", " ALS"], ["8", "836", " APN", " ALB"], ["11", "142", " AXS", " APG"], ["1", "1274", " ALS", " APG"], ["11", "1078", " ALZ", " ADG"], ["2", "489", " APG", " VJI"], ["7", "570", " OTS", " ADG"], ["1", "1069", " ALB", " APN"], ["1", "946", " APV", " ADR"], ["2", "488", " VJI", " APG"], ["1", "424", " ADG", " AOS"], ["8", "837", " ALB", " APN"], ["2", "791", " CVO", " APN"], ["9", "829", " HMN", " ADG"], ["7", "855", " APN", " KQA"], ["9", "828", " ADG", " HMN"], ["2", "1076", " AXG", " ABQ"], ["10", "382", " APG", " ALE"], ["8", "421", " ADT", " AKP"], ["2", "790", " APN", " CVO"], ["12", "327", " AOS", " ATO"], ["10", "1391", " ABL", " ADG"], ["1", "1285", " ADG", " ADK"], ["1", "1284", " ADK", " ADG"], ["12", "80", " AKK", " APV"], ["1", "947", " ADR", " APV"], ["10", "383", " ALE", " APG"], ["8", "640", " ABQ", " AOS"], ["5", "432", " APV", " TDW"], ["8", "1418", " AEL", " ATS"], ["2", "1077", " ABQ", " AXG"], ["11", "741", " OTS", " AXG"], ["7", "854", " KQA", " APN"], ["2", "841", " ADT", " NGZ"], ["8", "1419", " ATS", " AEL"], ["12", "81", " APV", " AKK"], ["6", "210", " AXG", " AQY"], ["4", "946", " AHT", " AXG"], ["2", "747", " AST", " ANC"], ["6", "211", " AQY", " AXG"], ["11", "134", " NDV", " ADG"], ["1", "560", " AHF", " ATO"], ["12", "326", " ATO", " AOS"], ["7", "793", " NGZ", " AIA"], ["5", "433", " TDW", " APV"], ["7", "1071", " ARB", " AET"], ["9", "882", " ADT", " ALZ"], ["11", "135", " ADG", " NDV"], ["8", "641", " AOS", " ABQ"], ["11", "158", " AHT", " ANV"], ["7", "295", " AKP", " AET"], ["11", "241", " AXG", " ARC"], ["7", "792", " AIA", " NGZ"], ["11", "240", " ARC", " AXG"], ["10", "469", " APV", " AAF"], ["4", "359", " AMN", " ADG"], ["10", "1390", " ADG", " ABL"], ["7", "409", " ADG", " AMN"], ["5", "135", " ADT", " AFO"], ["10", "468", " AAF", " APV"], ["4", "947", " AXG", " AHT"], ["7", "337", " AUK", " AXG"], ["3", "1186", " ANB", " AET"], ["3", "826", " ABQ", " AEL"], ["8", "420", " AKP", " ADT"], ["9", "894", " AAF", " AHT"], ["4", "839", " ALM", " APV"], ["3", "162", " AIK", " ADT"], ["5", "134", " AFO", " ADT"], ["7", "408", " AMN", " ADG"], ["9", "313", " ALN", " AXG"], ["1", "1166", " ABQ", " AAF"], ["4", "838", " APV", " ALM"], ["9", "883", " ALZ", " ADT"], ["4", "358", " ADG", " AMN"], ["8", "1309", " ALS", " ADG"], ["9", "158", " AKO", " AQY"], ["1", "561", " ATO", " AHF"], ["11", "330", " AXG", " LTS"], ["1", "1167", " AAF", " ABQ"], ["9", "895", " AHT", " AAF"], ["7", "294", " AET", " AKP"], ["11", "566", " LTS", " AET"], ["3", "827", " AEL", " ABQ"], ["8", "1086", " EDF", " AFO"], ["11", "436", " ABQ", " AND"], ["8", "1281", " AET", " ATO"], ["6", "1195", " AXG", " AAF"], ["9", "312", " AXG", " ALN"], ["6", "741", " AXG", " HMN"], ["3", "1187", " AET", " ANB"], ["6", "1194", " AAF", " AXG"], ["8", "1308", " ADG", " ALS"], ["7", "250", " AXS", " ATS"], ["1", "199", " AAF", " NGZ"], ["2", "840", " NGZ", " ADT"], ["1", "745", " OTS", " AED"], ["5", "350", " ATW", " AOS"], ["9", "1061", " ADK", " AST"], ["12", "851", " AET", " ARC"], ["7", "845", " AOS", " MMI"], ["9", "1188", " AHF", " OTS"], ["1", "811", " AQY", " ARC"], ["3", "244", " EDF", " AHT"], ["11", "159", " ANV", " AHT"], ["9", "225", " AHF", " ASY"], ["1", "1251", " AED", " ARC"], ["4", "626", " AIA", " AXG"], ["11", "740", " AXG", " OTS"], ["7", "316", " AST", " AKI"], ["11", "437", " AND", " ABQ"], ["6", "716", " AKP", " AHF"], ["3", "1191", " ADG", " AXX"], ["3", "439", " AUK", " AFO"], ["11", "80", " AET", " AXB"], ["9", "749", " RLI", " ATS"], ["1", "91", " ABR", " ATO"], ["10", "1256", " AED", " ADM"], ["3", "163", " ADT", " AIK"], ["1", "1250", " ARC", " AED"], ["9", "1189", " OTS", " AHF"], ["2", "1021", " ADG", " ANP"], ["7", "1081", " AGN", " AHF"], ["1", "604", " ADG", " ANN"], ["1", "744", " AED", " OTS"]]	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 flights departing from 'APG'.	[["0"]]	2,048	Answer:
Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "560", " AHF", " ATO"], ["12", "327", " AOS", " ATO"], ["1", "561", " ATO", " AHF"], ["7", "662", " ATS", " AKO"], ["12", "326", " ATO", " AOS"], ["7", "663", " AKO", " ATS"], ["1", "91", " ABR", " ATO"], ["8", "1281", " AET", " ATO"], ["1", "90", " ATO", " ABR"], ["12", "891", " ALS", " ATO"], ["8", "1280", " ATO", " AET"], ["2", "747", " AST", " ANC"], ["11", "909", " ATO", " ANQ"], ["11", "908", " ANQ", " ATO"], ["7", "250", " AXS", " ATS"], ["3", "1011", " AST", " CVO"], ["2", "670", " KKI", " ATS"], ["3", "1010", " CVO", " AST"], ["12", "890", " ATO", " ALS"], ["3", "1275", " AFO", " ASY"], ["3", "335", " ATW", " ALI"], ["8", "1419", " ATS", " AEL"], ["7", "561", " ASE", " ATW"], ["4", "35", " ATS", " ADR"], ["5", "134", " AFO", " ADT"], ["5", "135", " ADT", " AFO"], ["3", "439", " AUK", " AFO"], ["8", "1418", " AEL", " ATS"], ["1", "1062", " AQY", " AFO"], ["2", "692", " CAK", " ATS"], ["3", "1274", " ASY", " AFO"], ["3", "334", " ALI", " ATW"], ["7", "560", " ATW", " ASE"], ["2", "790", " APN", " CVO"], ["6", "82", " ABY", " ATO"], ["2", "693", " ATS", " CAK"], ["4", "34", " ADR", " ATS"], ["2", "427", " AMN", " AFO"], ["2", "791", " CVO", " APN"], ["2", "902", " AKO", " OTS"], ["2", "903", " OTS", " AKO"], ["8", "670", " ASY", " CVO"], ["5", "350", " ATW", " AOS"], ["3", "438", " AFO", " AUK"], ["1", "1063", " AFO", " AQY"], ["9", "749", " RLI", " ATS"], ["2", "426", " AFO", " AMN"], ["1", "709", " AFO", " AXB"], ["7", "69", " AFO", " EDF"], ["6", "762", " AMW", " ATS"], ["4", "1162", " ANW", " AKO"], ["5", "351", " AOS", " ATW"], ["9", "748", " ATS", " RLI"], ["7", "68", " EDF", " AFO"], ["8", "671", " CVO", " ASY"], ["1", "754", " CVO", " ANY"], ["2", "240", " ATE", " ATW"], ["7", "251", " ATS", " AXS"], ["10", "1117", " AFO", " ANI"], ["2", "241", " ATW", " ATE"], ["7", "371", " ATW", " QAW"], ["8", "1086", " EDF", " AFO"], ["2", "671", " ATS", " KKI"], ["7", "370", " QAW", " ATW"], ["3", "2", " ATS", " OTS"], ["1", "708", " AXB", " AFO"], ["1", "425", " AOS", " ADG"], ["1", "755", " ANY", " CVO"], ["6", "83", " ATO", " ABY"], ["4", "605", " ANC", " AFO"], ["3", "27", " ATW", " VJI"], ["4", "297", " AFO", " AIV"], ["9", "158", " AKO", " AQY"], ["2", "384", " AOS", " AGN"], ["5", "752", " ASE", " CVO"], ["3", "195", " ARX", " AST"], ["4", "296", " AIV", " AFO"], ["4", "1163", " AKO", " ANW"], ["4", "265", " ATW", " ARB"], ["3", "397", " ASX", " AED"], ["9", "159", " AQY", " AKO"], ["10", "1116", " ANI", " AFO"], ["2", "65", " AOS", " VJI"], ["4", "604", " AFO", " ANC"], ["11", "505", " AKO", " AAF"], ["1", "424", " ADG", " AOS"], ["7", "670", " ANA", " ADR"], ["10", "1182", " ATW", " ALZ"], ["10", "1299", " ALS", " ATS"], ["4", "431", " LTS", " CVO"], ["3", "396", " AED", " ASX"], ["12", "1301", " AFO", " AMA"], ["11", "835", " AXN", " ATS"], ["7", "792", " AIA", " NGZ"], ["12", "957", " ABL", " AKO"], ["11", "834", " ATS", " AXN"], ["2", "64", " VJI", " AOS"], ["1", "227", " KKI", " CVO"], ["4", "10", " ASY", " ATS"], ["11", "504", " AAF", " AKO"], ["12", "1300", " AMA", " AFO"], ["2", "359", " ASX", " ASE"], ["5", "753", " CVO", " ASE"], ["3", "498", " ATW", " TDW"], ["2", "921", " ASX", " AET"], ["6", "763", " ATS", " AMW"], ["3", "26", " VJI", " ATW"], ["3", "499", " TDW", " ATW"], ["2", "385", " AGN", " AOS"], ["11", "1112", " ARB", " CVO"], ["1", "745", " OTS", " AED"], ["1", "226", " CVO", " KKI"], ["7", "671", " ADR", " ANA"], ["2", "1077", " ABQ", " AXG"], ["4", "430", " CVO", " LTS"], ["10", "1298", " ATS", " ALS"], ["9", "635", " ATW", " AKI"], ["3", "1140", " ATW", " ALB"], ["4", "384", " AYZ", " CVO"], ["9", "1091", " HMN", " CVO"], ["8", "1087", " AFO", " EDF"], ["5", "1089", " AKO", " ANV"], ["3", "3", " OTS", " ATS"], ["9", "634", " AKI", " ATW"], ["7", "337", " AUK", " AXG"], ["6", "971", " AOS", " ASE"], ["4", "385", " CVO", " AYZ"], ["11", "1179", " AFO", " KQA"], ["2", "746", " ANC", " AST"], ["12", "956", " AKO", " ABL"], ["2", "841", " ADT", " NGZ"], ["7", "793", " NGZ", " AIA"], ["1", "744", " AED", " OTS"], ["1", "199", " AAF", " NGZ"], ["1", "45", " ACV", " CVO"], ["7", "571", " ADG", " OTS"], ["7", "316", " AST", " AKI"], ["10", "513", " ESF", " CVO"], ["10", "1357", " ATW", " AMA"], ["2", "1076", " AXG", " ABQ"], ["5", "1204", " AOS", " AST"], ["2", "920", " AET", " ASX"], ["5", "1205", " AST", " AOS"], ["9", "692", " AIK", " CVO"], ["2", "358", " ASE", " ASX"], ["7", "317", " AKI", " AST"], ["2", "840", " NGZ", " ADT"]]	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 flights have destination ATO?	[["0"]]	2,048	Answer:
Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "561", " ATO", " AHF"], ["1", "560", " AHF", " ATO"], ["12", "327", " AOS", " ATO"], ["12", "326", " ATO", " AOS"], ["1", "91", " ABR", " ATO"], ["11", "908", " ANQ", " ATO"], ["8", "1281", " AET", " ATO"], ["11", "909", " ATO", " ANQ"], ["7", "663", " AKO", " ATS"], ["12", "891", " ALS", " ATO"], ["7", "662", " ATS", " AKO"], ["1", "90", " ATO", " ABR"], ["8", "1280", " ATO", " AET"], ["12", "890", " ATO", " ALS"], ["3", "1011", " AST", " CVO"], ["8", "1418", " AEL", " ATS"], ["8", "670", " ASY", " CVO"], ["8", "1419", " ATS", " AEL"], ["7", "250", " AXS", " ATS"], ["8", "671", " CVO", " ASY"], ["3", "1010", " CVO", " AST"], ["7", "561", " ASE", " ATW"], ["6", "82", " ABY", " ATO"], ["7", "560", " ATW", " ASE"], ["8", "1086", " EDF", " AFO"], ["9", "748", " ATS", " RLI"], ["3", "334", " ALI", " ATW"], ["9", "749", " RLI", " ATS"], ["7", "371", " ATW", " QAW"], ["7", "251", " ATS", " AXS"], ["2", "241", " ATW", " ATE"], ["5", "350", " ATW", " AOS"], ["5", "351", " AOS", " ATW"], ["2", "692", " CAK", " ATS"], ["2", "670", " KKI", " ATS"], ["5", "135", " ADT", " AFO"], ["2", "693", " ATS", " CAK"], ["3", "335", " ATW", " ALI"], ["11", "505", " AKO", " AAF"], ["2", "240", " ATE", " ATW"], ["11", "835", " AXN", " ATS"], ["3", "439", " AUK", " AFO"], ["2", "747", " AST", " ANC"], ["12", "1300", " AMA", " AFO"], ["9", "158", " AKO", " AQY"], ["10", "1299", " ALS", " ATS"], ["11", "1112", " ARB", " CVO"], ["12", "1301", " AFO", " AMA"], ["7", "370", " QAW", " ATW"], ["1", "425", " AOS", " ADG"], ["11", "834", " ATS", " AXN"], ["5", "134", " AFO", " ADT"], ["3", "438", " AFO", " AUK"], ["3", "1275", " AFO", " ASY"], ["1", "1062", " AQY", " AFO"], ["2", "790", " APN", " CVO"], ["1", "754", " CVO", " ANY"], ["10", "1298", " ATS", " ALS"], ["4", "265", " ATW", " ARB"], ["10", "1117", " AFO", " ANI"], ["5", "752", " ASE", " CVO"], ["11", "1113", " CVO", " ARB"], ["4", "35", " ATS", " ADR"], ["10", "1116", " ANI", " AFO"], ["4", "1162", " ANW", " AKO"], ["9", "225", " AHF", " ASY"], ["10", "1357", " ATW", " AMA"], ["4", "34", " ADR", " ATS"], ["3", "1274", " ASY", " AFO"], ["11", "504", " AAF", " AKO"], ["1", "755", " ANY", " CVO"], ["6", "762", " AMW", " ATS"], ["3", "498", " ATW", " TDW"], ["1", "1063", " AFO", " AQY"], ["3", "2", " ATS", " OTS"], ["1", "709", " AFO", " AXB"], ["9", "159", " AQY", " AKO"], ["5", "753", " CVO", " ASE"], ["6", "83", " ATO", " ABY"], ["2", "791", " CVO", " APN"], ["2", "902", " AKO", " OTS"], ["1", "708", " AXB", " AFO"], ["9", "635", " ATW", " AKI"], ["9", "279", " AST", " AHH"], ["11", "1179", " AFO", " KQA"], ["10", "1182", " ATW", " ALZ"], ["9", "1091", " HMN", " CVO"], ["4", "10", " ASY", " ATS"], ["7", "68", " EDF", " AFO"], ["4", "1163", " AKO", " ANW"], ["2", "903", " OTS", " AKO"], ["4", "431", " LTS", " CVO"], ["3", "499", " TDW", " ATW"], ["9", "634", " AKI", " ATW"], ["11", "1178", " KQA", " AFO"], ["3", "1140", " ATW", " ALB"], ["2", "671", " ATS", " KKI"], ["7", "316", " AST", " AKI"], ["8", "1051", " CVO", " RFK"], ["1", "226", " CVO", " KKI"], ["9", "1090", " CVO", " HMN"], ["2", "1361", " AST", " AHH"], ["9", "224", " ASY", " AHF"], ["1", "309", " AKC", " ATE"], ["4", "11", " ATS", " ASY"], ["8", "372", " AHF", " AKC"], ["8", "640", " ABQ", " AOS"], ["7", "69", " AFO", " EDF"], ["8", "1087", " AFO", " EDF"], ["2", "385", " AGN", " AOS"], ["5", "1089", " AKO", " ANV"], ["8", "1349", " AHF", " ANI"], ["4", "430", " CVO", " LTS"], ["2", "427", " AMN", " AFO"], ["12", "402", " ATW", " ANP"], ["2", "426", " AFO", " AMN"], ["4", "264", " ARB", " ATW"], ["8", "752", " AEL", " ATE"], ["1", "308", " ATE", " AKC"], ["1", "45", " ACV", " CVO"], ["3", "3", " OTS", " ATS"], ["4", "296", " AIV", " AFO"], ["9", "692", " AIK", " CVO"], ["6", "763", " ATS", " AMW"], ["8", "373", " AKC", " AHF"], ["3", "1141", " ALB", " ATW"], ["3", "1041", " OTS", " AHF"], ["3", "195", " ARX", " AST"], ["4", "871", " ARB", " ATE"], ["8", "1050", " RFK", " CVO"], ["7", "1081", " AGN", " AHF"], ["8", "1348", " ANI", " AHF"], ["12", "957", " ABL", " AKO"], ["2", "1360", " AHH", " AST"], ["8", "641", " AOS", " ABQ"], ["10", "513", " ESF", " CVO"], ["4", "605", " ANC", " AFO"], ["2", "384", " AOS", " AGN"], ["7", "571", " ADG", " OTS"], ["4", "297", " AFO", " AIV"], ["3", "27", " ATW", " VJI"], ["9", "693", " CVO", " AIK"], ["10", "1356", " AMA", " ATW"], ["9", "655", " DYS", " ATS"], ["5", "1205", " AST", " AOS"], ["1", "227", " KKI", " CVO"]]	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 flights into ATO.	[["0"]]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "947", " AKK", " AXG"], ["12", "946", " AXG", " AKK"], ["7", "949", " OTS", " AKK"], ["7", "948", " AKK", " OTS"], ["3", "529", " AKK", " ARB"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "528", " ARB", " AKK"], ["12", "1335", " AKK", " ADT"], ["12", "1334", " ADT", " AKK"], ["7", "1126", " AKI", " ESF"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "316", " AST", " AKI"], ["1", "370", " AKC", " WKK"], ["7", "1127", " ESF", " AKI"], ["7", "118", " AKK", " ANW"], ["1", "371", " WKK", " AKC"], ["7", "336", " AXG", " AUK"], ["7", "114", " ARB", " ADK"], ["7", "119", " ANW", " AKK"], ["7", "484", " ALX", " AKK"], ["4", "167", " AKI", " AAF"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "115", " ADK", " ARB"], ["12", "235", " AKK", " EDF"], ["12", "956", " AKO", " ABL"], ["12", "957", " ABL", " AKO"], ["7", "737", " ABY", " ARX"], ["10", "603", " ADK", " AKK"], ["5", "1334", " CAK", " AKC"], ["6", "71", " AAF", " AKC"], ["7", "337", " AUK", " AXG"], ["10", "1145", " CAK", " AKK"], ["6", "813", " CAK", " ARB"], ["7", "485", " AKK", " ALX"], ["12", "234", " EDF", " AKK"], ["7", "663", " AKO", " ATS"], ["10", "1144", " AKK", " CAK"], ["1", "626", " AKI", " AEL"], ["7", "455", " ADK", " KQA"], ["10", "647", " ASE", " ARB"], ["6", "70", " AKC", " AAF"], ["7", "121", " ALX", " AKI"], ["10", "646", " ARB", " ASE"], ["2", "193", " NDV", " AKK"], ["10", "602", " AKK", " ADK"], ["7", "317", " AKI", " AST"], ["2", "747", " AST", " ANC"], ["7", "943", " AIB", " AKP"], ["8", "373", " AKC", " AHF"], ["2", "192", " AKK", " NDV"], ["1", "309", " AKC", " ATE"], ["5", "1335", " AKC", " CAK"], ["10", "700", " ANC", " AKI"], ["1", "143", " AKC", " ALI"], ["4", "547", " AKC", " ANY"], ["7", "295", " AKP", " AET"], ["7", "454", " KQA", " ADK"], ["6", "162", " NDV", " AOS"], ["6", "347", " OTS", " ARB"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "308", " ATE", " AKC"], ["7", "1119", " AKI", " MMI"], ["7", "1071", " ARB", " AET"], ["7", "942", " AKP", " AIB"], ["10", "1391", " ABL", " ADG"], ["1", "627", " AEL", " AKI"], ["12", "121", " ADK", " ASY"], ["10", "600", " ABQ", " AKI"], ["2", "466", " ARB", " AGN"], ["9", "747", " ESF", " WKK"], ["6", "717", " AHF", " AKP"], ["8", "372", " AHF", " AKC"], ["6", "812", " ARB", " CAK"], ["8", "132", " AKK", " AIK"], ["3", "195", " ARX", " AST"], ["8", "133", " AIK", " AKK"], ["10", "601", " AKI", " ABQ"], ["7", "571", " ADG", " OTS"], ["7", "45", " ABR", " AKI"], ["2", "467", " AGN", " ARB"], ["6", "716", " AKP", " AHF"], ["12", "265", " AKI", " AMW"], ["10", "701", " AKI", " ANC"], ["5", "22", " WKK", " ARB"], ["6", "517", " AKI", " KKI"], ["11", "704", " ADR", " AKI"], ["12", "264", " AMW", " AKI"], ["11", "705", " AKI", " ADR"], ["3", "240", " AKC", " MMI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["6", "971", " AOS", " ASE"], ["7", "721", " KQA", " AED"], ["3", "670", " ALN", " ARX"], ["9", "746", " WKK", " ESF"], ["7", "120", " AKI", " ALX"], ["6", "346", " ARB", " OTS"], ["4", "546", " ANY", " AKC"], ["7", "662", " ATS", " AKO"], ["6", "516", " KKI", " AKI"], ["1", "142", " ALI", " AKC"], ["9", "634", " AKI", " ATW"], ["7", "723", " CAK", " AST"], ["7", "44", " AKI", " ABR"], ["2", "322", " ALN", " ARB"], ["7", "1118", " MMI", " AKI"], ["6", "1071", " ABR", " ADK"], ["10", "1172", " APG", " AKC"], ["2", "1286", " HMN", " ESF"], ["9", "635", " ATW", " AKI"], ["11", "58", " AKK", " TDW"], ["3", "671", " ARX", " ALN"], ["3", "241", " MMI", " AKC"], ["8", "1419", " ATS", " AEL"], ["8", "1376", " WKK", " ASE"], ["7", "844", " MMI", " AOS"], ["10", "54", " KQA", " AHF"], ["7", "570", " OTS", " ADG"], ["8", "1183", " ARC", " AKI"]]	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 flights depart from City Aberdeen?	[["0"]]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "948", " AKK", " OTS"], ["7", "949", " OTS", " AKK"], ["7", "1126", " AKI", " ESF"], ["12", "947", " AKK", " AXG"], ["3", "529", " AKK", " ARB"], ["7", "316", " AST", " AKI"], ["12", "1334", " ADT", " AKK"], ["12", "946", " AXG", " AKK"], ["12", "1335", " AKK", " ADT"], ["12", "234", " EDF", " AKK"], ["3", "528", " ARB", " AKK"], ["7", "1127", " ESF", " AKI"], ["12", "235", " AKK", " EDF"], ["1", "370", " AKC", " WKK"], ["9", "747", " ESF", " WKK"], ["7", "737", " ABY", " ARX"], ["2", "1287", " ESF", " HMN"], ["12", "121", " ADK", " ASY"], ["2", "1286", " HMN", " ESF"], ["1", "371", " WKK", " AKC"], ["8", "372", " AHF", " AKC"], ["1", "309", " AKC", " ATE"], ["7", "115", " ADK", " ARB"], ["1", "308", " ATE", " AKC"], ["9", "225", " AHF", " ASY"], ["7", "317", " AKI", " AST"], ["5", "1334", " CAK", " AKC"], ["6", "71", " AAF", " AKC"], ["2", "467", " AGN", " ARB"], ["10", "647", " ASE", " ARB"], ["10", "1145", " CAK", " AKK"], ["8", "373", " AKC", " AHF"], ["7", "1071", " ARB", " AET"], ["7", "455", " ADK", " KQA"], ["2", "466", " ARB", " AGN"], ["9", "746", " WKK", " ESF"], ["8", "1419", " ATS", " AEL"], ["10", "601", " AKI", " ABQ"], ["7", "119", " ANW", " AKK"], ["1", "626", " AKI", " AEL"], ["7", "114", " ARB", " ADK"], ["6", "717", " AHF", " AKP"], ["10", "646", " ARB", " ASE"], ["10", "1144", " AKK", " CAK"], ["1", "627", " AEL", " AKI"], ["2", "747", " AST", " ANC"], ["7", "1119", " AKI", " MMI"], ["12", "1022", " AKI", " AHN"], ["12", "957", " ABL", " AKO"], ["5", "1204", " AOS", " AST"], ["7", "295", " AKP", " AET"], ["7", "45", " ABR", " AKI"], ["10", "600", " ABQ", " AKI"], ["3", "195", " ARX", " AST"], ["8", "1418", " AEL", " ATS"], ["7", "722", " AST", " CAK"], ["10", "602", " AKK", " ADK"], ["6", "813", " CAK", " ARB"], ["5", "1335", " AKC", " CAK"], ["6", "716", " AKP", " AHF"], ["7", "571", " ADG", " OTS"], ["4", "547", " AKC", " ANY"], ["10", "603", " ADK", " AKK"], ["8", "640", " ABQ", " AOS"], ["9", "646", " ARX", " AHF"], ["10", "1391", " ABL", " ADG"], ["9", "224", " ASY", " AHF"], ["12", "956", " AKO", " ABL"], ["7", "844", " MMI", " AOS"], ["6", "971", " AOS", " ASE"], ["12", "1023", " AHN", " AKI"], ["2", "193", " NDV", " AKK"], ["7", "721", " KQA", " AED"], ["5", "1205", " AST", " AOS"], ["6", "347", " OTS", " ARB"], ["6", "812", " ARB", " CAK"], ["7", "723", " CAK", " AST"], ["7", "454", " KQA", " ADK"], ["9", "634", " AKI", " ATW"], ["4", "871", " ARB", " ATE"], ["8", "132", " AKK", " AIK"], ["3", "240", " AKC", " MMI"], ["12", "264", " AMW", " AKI"], ["6", "1071", " ABR", " ADK"], ["1", "471", " MMI", " ABQ"], ["12", "265", " AKI", " AMW"], ["7", "118", " AKK", " ANW"], ["7", "663", " AKO", " ATS"], ["12", "1281", " ARX", " AEX"], ["9", "635", " ATW", " AKI"], ["12", "540", " AHT", " AMW"], ["9", "647", " AHF", " ARX"], ["7", "1118", " MMI", " AKI"], ["7", "845", " AOS", " MMI"], ["8", "641", " AOS", " ABQ"], ["1", "470", " ABQ", " MMI"], ["12", "120", " ASY", " ADK"], ["1", "143", " AKC", " ALI"], ["7", "484", " ALX", " AKK"], ["2", "1076", " AXG", " ABQ"], ["7", "1081", " AGN", " AHF"], ["7", "121", " ALX", " AKI"], ["9", "1061", " ADK", " AST"], ["7", "44", " AKI", " ABR"], ["12", "850", " ARC", " AET"], ["2", "729", " ESF", " AKI"], ["7", "336", " AXG", " AUK"], ["6", "346", " ARB", " OTS"], ["2", "192", " AKK", " NDV"], ["8", "513", " ADK", " ABQ"], ["2", "322", " ALN", " ARB"], ["3", "671", " ARX", " ALN"], ["2", "728", " AKI", " ESF"], ["3", "241", " MMI", " AKC"], ["4", "167", " AKI", " AAF"], ["4", "546", " ANY", " AKC"], ["11", "471", " AHT", " CAK"], ["3", "670", " ALN", " ARX"], ["7", "736", " ARX", " ABY"], ["7", "720", " AED", " KQA"], ["7", "485", " AKK", " ALX"], ["8", "421", " ADT", " AKP"], ["11", "704", " ADR", " AKI"], ["1", "148", " HMN", " ABL"], ["8", "133", " AIK", " AKK"], ["1", "149", " ABL", " HMN"], ["1", "829", " EDF", " HMN"], ["7", "337", " AUK", " AXG"], ["3", "194", " AST", " ARX"], ["1", "425", " AOS", " ADG"], ["7", "662", " ATS", " AKO"], ["12", "327", " AOS", " ATO"], ["8", "512", " ABQ", " ADK"], ["10", "827", " ARB", " AHH"], ["2", "670", " KKI", " ATS"], ["1", "1284", " ADK", " ADG"], ["11", "437", " AND", " ABQ"], ["10", "934", " ABI", " AKP"], ["10", "54", " KQA", " AHF"], ["2", "1077", " ABQ", " AXG"], ["1", "1285", " ADG", " ADK"]]	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 number of flights departing from Aberdeen.	[["0"]]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "529", " AKK", " ARB"], ["12", "1335", " AKK", " ADT"], ["3", "528", " ARB", " AKK"], ["12", "947", " AKK", " AXG"], ["12", "1334", " ADT", " AKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "316", " AST", " AKI"], ["12", "946", " AXG", " AKK"], ["7", "948", " AKK", " OTS"], ["7", "1126", " AKI", " ESF"], ["7", "949", " OTS", " AKK"], ["12", "957", " ABL", " AKO"], ["3", "240", " AKC", " MMI"], ["7", "1127", " ESF", " AKI"], ["1", "370", " AKC", " WKK"], ["12", "956", " AKO", " ABL"], ["11", "705", " AKI", " ADR"], ["12", "235", " AKK", " EDF"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "371", " WKK", " AKC"], ["8", "373", " AKC", " AHF"], ["12", "265", " AKI", " AMW"], ["11", "704", " ADR", " AKI"], ["12", "234", " EDF", " AKK"], ["12", "264", " AMW", " AKI"], ["3", "241", " MMI", " AKC"], ["7", "455", " ADK", " KQA"], ["3", "195", " ARX", " AST"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "663", " AKO", " ATS"], ["10", "603", " ADK", " AKK"], ["7", "485", " AKK", " ALX"], ["4", "167", " AKI", " AAF"], ["1", "309", " AKC", " ATE"], ["7", "484", " ALX", " AKK"], ["10", "600", " ABQ", " AKI"], ["7", "118", " AKK", " ANW"], ["2", "193", " NDV", " AKK"], ["4", "547", " AKC", " ANY"], ["1", "626", " AKI", " AEL"], ["7", "119", " ANW", " AKK"], ["7", "317", " AKI", " AST"], ["8", "372", " AHF", " AKC"], ["7", "121", " ALX", " AKI"], ["1", "627", " AEL", " AKI"], ["7", "737", " ABY", " ARX"], ["10", "700", " ANC", " AKI"], ["7", "1119", " AKI", " MMI"], ["12", "1023", " AHN", " AKI"], ["10", "601", " AKI", " ABQ"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["8", "1183", " ARC", " AKI"], ["9", "635", " ATW", " AKI"], ["2", "192", " AKK", " NDV"], ["6", "517", " AKI", " KKI"], ["7", "115", " ADK", " ARB"], ["1", "308", " ATE", " AKC"], ["10", "701", " AKI", " ANC"], ["10", "1145", " CAK", " AKK"], ["5", "1334", " CAK", " AKC"], ["12", "1173", " ARX", " AMA"], ["6", "71", " AAF", " AKC"], ["10", "647", " ASE", " ARB"], ["1", "143", " AKC", " ALI"], ["8", "1182", " AKI", " ARC"], ["2", "728", " AKI", " ESF"], ["7", "454", " KQA", " ADK"], ["3", "670", " ALN", " ARX"], ["3", "588", " AKO", " WKK"], ["2", "729", " ESF", " AKI"], ["10", "602", " AKK", " ADK"], ["9", "634", " AKI", " ATW"], ["3", "548", " ARX", " ASX"], ["3", "589", " WKK", " AKO"], ["12", "121", " ADK", " ASY"], ["7", "45", " ABR", " AKI"], ["7", "1118", " MMI", " AKI"], ["7", "721", " KQA", " AED"], ["7", "114", " ARB", " ADK"], ["10", "1172", " APG", " AKC"], ["10", "1173", " AKC", " APG"], ["4", "546", " ANY", " AKC"], ["6", "813", " CAK", " ARB"], ["7", "120", " AKI", " ALX"], ["3", "549", " ASX", " ARX"], ["5", "1335", " AKC", " CAK"], ["12", "1022", " AKI", " AHN"], ["10", "1391", " ABL", " ADG"], ["6", "70", " AKC", " AAF"], ["3", "397", " ASX", " AED"], ["12", "1281", " ARX", " AEX"], ["6", "516", " KKI", " AKI"], ["10", "646", " ARB", " ASE"], ["1", "142", " ALI", " AKC"], ["7", "336", " AXG", " AUK"], ["3", "671", " ARX", " ALN"], ["3", "396", " AED", " ASX"], ["6", "717", " AHF", " AKP"], ["7", "295", " AKP", " AET"], ["8", "132", " AKK", " AIK"], ["12", "1205", " ADM", " ARB"], ["12", "80", " AKK", " APV"], ["8", "1419", " ATS", " AEL"], ["7", "662", " ATS", " AKO"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "845", " AOS", " MMI"], ["8", "1233", " AKI", " NDV"], ["10", "1144", " AKK", " CAK"], ["2", "467", " AGN", " ARB"], ["8", "513", " ADK", " ABQ"], ["10", "935", " AKP", " ABI"], ["7", "44", " AKI", " ABR"], ["8", "133", " AIK", " AKK"], ["2", "1286", " HMN", " ESF"], ["2", "1287", " ESF", " HMN"], ["3", "194", " AST", " ARX"], ["4", "1163", " AKO", " ANW"]]	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 flights arriving in Aberdeen city?	[["0"]]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "234", " EDF", " AKK"], ["12", "947", " AKK", " AXG"], ["12", "946", " AXG", " AKK"], ["7", "316", " AST", " AKI"], ["3", "529", " AKK", " ARB"], ["12", "235", " AKK", " EDF"], ["7", "948", " AKK", " OTS"], ["3", "528", " ARB", " AKK"], ["7", "1126", " AKI", " ESF"], ["12", "1334", " ADT", " AKK"], ["7", "949", " OTS", " AKK"], ["12", "1335", " AKK", " ADT"], ["1", "309", " AKC", " ATE"], ["7", "1127", " ESF", " AKI"], ["8", "372", " AHF", " AKC"], ["12", "121", " ADK", " ASY"], ["8", "373", " AKC", " AHF"], ["1", "308", " ATE", " AKC"], ["1", "370", " AKC", " WKK"], ["1", "371", " WKK", " AKC"], ["9", "225", " AHF", " ASY"], ["7", "737", " ABY", " ARX"], ["12", "1022", " AKI", " AHN"], ["10", "601", " AKI", " ABQ"], ["7", "455", " ADK", " KQA"], ["7", "119", " ANW", " AKK"], ["7", "115", " ADK", " ARB"], ["12", "1023", " AHN", " AKI"], ["8", "640", " ABQ", " AOS"], ["10", "600", " ABQ", " AKI"], ["7", "317", " AKI", " AST"], ["12", "264", " AMW", " AKI"], ["6", "71", " AAF", " AKC"], ["2", "1287", " ESF", " HMN"], ["7", "1119", " AKI", " MMI"], ["6", "717", " AHF", " AKP"], ["12", "265", " AKI", " AMW"], ["3", "240", " AKC", " MMI"], ["6", "813", " CAK", " ARB"], ["2", "1286", " HMN", " ESF"], ["3", "241", " MMI", " AKC"], ["12", "957", " ABL", " AKO"], ["1", "470", " ABQ", " MMI"], ["8", "132", " AKK", " AIK"], ["1", "471", " MMI", " ABQ"], ["7", "45", " ABR", " AKI"], ["2", "467", " AGN", " ARB"], ["9", "747", " ESF", " WKK"], ["10", "603", " ADK", " AKK"], ["2", "466", " ARB", " AGN"], ["8", "513", " ADK", " ABQ"], ["10", "1145", " CAK", " AKK"], ["4", "871", " ARB", " ATE"], ["6", "716", " AKP", " AHF"], ["1", "626", " AKI", " AEL"], ["5", "1334", " CAK", " AKC"], ["9", "224", " ASY", " AHF"], ["7", "844", " MMI", " AOS"], ["10", "647", " ASE", " ARB"], ["3", "195", " ARX", " AST"], ["10", "602", " AKK", " ADK"], ["7", "571", " ADG", " OTS"], ["1", "627", " AEL", " AKI"], ["12", "956", " AKO", " ABL"], ["7", "114", " ARB", " ADK"], ["10", "646", " ARB", " ASE"], ["2", "1076", " AXG", " ABQ"], ["4", "547", " AKC", " ANY"], ["8", "512", " ABQ", " ADK"], ["6", "812", " ARB", " CAK"], ["4", "167", " AKI", " AAF"], ["6", "1071", " ABR", " ADK"], ["7", "1118", " MMI", " AKI"], ["7", "454", " KQA", " ADK"], ["9", "746", " WKK", " ESF"], ["10", "1144", " AKK", " CAK"], ["2", "193", " NDV", " AKK"], ["7", "845", " AOS", " MMI"], ["7", "722", " AST", " CAK"], ["10", "1391", " ABL", " ADG"], ["8", "641", " AOS", " ABQ"], ["8", "1419", " ATS", " AEL"], ["8", "1418", " AEL", " ATS"], ["5", "1335", " AKC", " CAK"], ["12", "540", " AHT", " AMW"], ["8", "133", " AIK", " AKK"], ["9", "634", " AKI", " ATW"], ["12", "120", " ASY", " ADK"], ["7", "336", " AXG", " AUK"], ["6", "971", " AOS", " ASE"], ["7", "723", " CAK", " AST"], ["7", "118", " AKK", " ANW"], ["1", "425", " AOS", " ADG"], ["9", "646", " ARX", " AHF"], ["7", "44", " AKI", " ABR"], ["7", "295", " AKP", " AET"], ["11", "437", " AND", " ABQ"], ["9", "635", " ATW", " AKI"], ["7", "1071", " ARB", " AET"], ["10", "827", " ARB", " AHH"], ["12", "850", " ARC", " AET"], ["11", "704", " ADR", " AKI"], ["8", "1182", " AKI", " ARC"], ["2", "1077", " ABQ", " AXG"], ["7", "721", " KQA", " AED"], ["1", "829", " EDF", " HMN"], ["5", "1204", " AOS", " AST"], ["8", "832", " AAF", " MMI"], ["8", "833", " MMI", " AAF"], ["10", "55", " AHF", " KQA"], ["10", "54", " KQA", " AHF"], ["9", "942", " ABI", " MMI"], ["6", "347", " OTS", " ARB"], ["7", "121", " ALX", " AKI"], ["10", "1172", " APG", " AKC"], ["11", "378", " RFK", " ASY"], ["11", "513", " ABR", " ASY"], ["11", "471", " AHT", " CAK"], ["2", "747", " AST", " ANC"], ["10", "934", " ABI", " AKP"], ["12", "327", " AOS", " ATO"], ["8", "421", " ADT", " AKP"], ["1", "1284", " ADK", " ADG"], ["7", "663", " AKO", " ATS"], ["1", "1285", " ADG", " ADK"], ["7", "1081", " AGN", " AHF"], ["11", "285", " WKK", " ABQ"], ["11", "379", " ASY", " RFK"], ["8", "1535", " CAK", " AMN"], ["1", "143", " AKC", " ALI"], ["3", "827", " AEL", " ABQ"], ["2", "670", " KKI", " ATS"], ["12", "1281", " ARX", " AEX"], ["4", "870", " ATE", " ARB"], ["2", "728", " AKI", " ESF"], ["4", "546", " ANY", " AKC"], ["7", "484", " ALX", " AKK"], ["11", "705", " AKI", " ADR"], ["8", "1183", " ARC", " AKI"], ["3", "245", " AHT", " EDF"], ["2", "729", " ESF", " AKI"]]	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 number of flights arriving in Aberdeen.	[["0"]]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Ashley ", "ASY", "Ashley ", "United States ", "US"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "737", " ABY", " ARX"], ["12", "947", " AKK", " AXG"], ["12", "946", " AXG", " AKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "309", " AKC", " ATE"], ["3", "529", " AKK", " ARB"], ["2", "747", " AST", " ANC"], ["7", "948", " AKK", " OTS"], ["3", "528", " ARB", " AKK"], ["7", "1126", " AKI", " ESF"], ["1", "308", " ATE", " AKC"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "949", " OTS", " AKK"], ["3", "670", " ALN", " ARX"], ["2", "466", " ARB", " AGN"], ["6", "971", " AOS", " ASE"], ["7", "336", " AXG", " AUK"], ["7", "1127", " ESF", " AKI"], ["1", "371", " WKK", " AKC"], ["1", "370", " AKC", " WKK"], ["12", "956", " AKO", " ABL"], ["2", "467", " AGN", " ARB"], ["2", "1076", " AXG", " ABQ"], ["6", "813", " CAK", " ARB"], ["6", "347", " OTS", " ARB"], ["12", "957", " ABL", " AKO"], ["12", "1335", " AKK", " ADT"], ["3", "671", " ARX", " ALN"], ["12", "1334", " ADT", " AKK"], ["6", "346", " ARB", " OTS"], ["3", "195", " ARX", " AST"], ["1", "143", " AKC", " ALI"], ["2", "1286", " HMN", " ESF"], ["12", "235", " AKK", " EDF"], ["7", "316", " AST", " AKI"], ["7", "121", " ALX", " AKI"], ["7", "114", " ARB", " ADK"], ["12", "234", " EDF", " AKK"], ["6", "812", " ARB", " CAK"], ["2", "322", " ALN", " ARB"], ["7", "337", " AUK", " AXG"], ["7", "1071", " ARB", " AET"], ["10", "1391", " ABL", " ADG"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "1077", " ABQ", " AXG"], ["8", "1182", " AKI", " ARC"], ["2", "192", " AKK", " NDV"], ["7", "484", " ALX", " AKK"], ["7", "736", " ARX", " ABY"], ["8", "373", " AKC", " AHF"], ["6", "1071", " ABR", " ADK"], ["2", "1287", " ESF", " HMN"], ["6", "373", " MMI", " ATE"], ["8", "372", " AHF", " AKC"], ["1", "142", " ALI", " AKC"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Neptune ", "ARX", "Asbury Park ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "548", " ARX", " ASX"], ["12", "1281", " ARX", " AEX"], ["1", "1217", " ALX", " ATE"], ["6", "162", " NDV", " AOS"], ["8", "1183", " ARC", " AKI"], ["7", "663", " AKO", " ATS"], ["1", "1216", " ATE", " ALX"], ["1", "149", " ABL", " HMN"], ["7", "571", " ADG", " OTS"], ["7", "485", " AKK", " ALX"], ["1", "626", " AKI", " AEL"], ["7", "119", " ANW", " AKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "240", " AKC", " MMI"], ["7", "115", " ADK", " ARB"], ["2", "193", " NDV", " AKK"], ["8", "1039", " ARX", " EDF"], ["7", "118", " AKK", " ANW"], ["3", "1141", " ALB", " ATW"], ["4", "871", " ARB", " ATE"], ["2", "746", " ANC", " AST"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "670", " KKI", " ATS"], ["8", "1038", " EDF", " ARX"], ["2", "886", " ANW", " ABY"], ["3", "194", " AST", " ARX"], ["11", "1012", " ABI", " ALZ"], ["12", "851", " AET", " ARC"], ["2", "728", " AKI", " ESF"], ["3", "549", " ASX", " ARX"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "700", " ANC", " AKI"], ["12", "1173", " ARX", " AMA"], ["6", "71", " AAF", " AKC"], ["10", "646", " ARB", " ASE"], ["10", "647", " ASE", " ARB"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Albany ", "ALB", "Albany International ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "1096", " ABI", " EDF"], ["10", "701", " AKI", " ANC"], ["7", "317", " AKI", " AST"], ["12", "157", " ESF", " ABY"], ["9", "747", " ESF", " WKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"]]	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 flights depart from City 'Aberdeen' and have destination City 'Ashley'?	[["0"]]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Ashley ", "ASY", "Ashley ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "737", " ABY", " ARX"], ["1", "308", " ATE", " AKC"], ["1", "309", " AKC", " ATE"], ["3", "528", " ARB", " AKK"], ["7", "948", " AKK", " OTS"], ["8", "1038", " EDF", " ARX"], ["2", "747", " AST", " ANC"], ["3", "195", " ARX", " AST"], ["8", "373", " AKC", " AHF"], ["6", "971", " AOS", " ASE"], ["7", "1126", " AKI", " ESF"], ["8", "1039", " ARX", " EDF"], ["12", "947", " AKK", " AXG"], ["3", "529", " AKK", " ARB"], ["4", "871", " ARB", " ATE"], ["8", "372", " AHF", " AKC"], ["7", "1127", " ESF", " AKI"], ["8", "1183", " ARC", " AKI"], ["8", "1182", " AKI", " ARC"], ["12", "946", " AXG", " AKK"], ["6", "347", " OTS", " ARB"], ["8", "640", " ABQ", " AOS"], ["6", "813", " CAK", " ARB"], ["3", "548", " ARX", " ASX"], ["3", "670", " ALN", " ARX"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "956", " AKO", " ABL"], ["2", "1076", " AXG", " ABQ"], ["12", "957", " ABL", " AKO"], ["7", "336", " AXG", " AUK"], ["3", "671", " ARX", " ALN"], ["8", "1418", " AEL", " ATS"], ["8", "170", " LTS", " EDF"], ["2", "1286", " HMN", " ESF"], ["4", "870", " ATE", " ARB"], ["8", "641", " AOS", " ABQ"], ["7", "949", " OTS", " AKK"], ["10", "1391", " ABL", " ADG"], ["6", "162", " NDV", " AOS"], ["6", "346", " ARB", " OTS"], ["7", "316", " AST", " AKI"], ["12", "234", " EDF", " AKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "194", " AST", " ARX"], ["6", "1071", " ABR", " ADK"], ["2", "1287", " ESF", " HMN"], ["12", "235", " AKK", " EDF"], ["6", "373", " MMI", " ATE"], ["1", "425", " AOS", " ADG"], ["2", "1077", " ABQ", " AXG"], ["12", "1173", " ARX", " AMA"], ["8", "513", " ADK", " ABQ"], ["7", "1071", " ARB", " AET"], ["7", "663", " AKO", " ATS"], ["7", "736", " ARX", " ABY"], ["2", "467", " AGN", " ARB"], ["2", "466", " ARB", " AGN"], ["8", "1086", " EDF", " AFO"], ["2", "728", " AKI", " ESF"], ["12", "1335", " AKK", " ADT"], ["8", "1419", " ATS", " AEL"], ["12", "327", " AOS", " ATO"], ["1", "149", " ABL", " HMN"], ["2", "903", " OTS", " AKO"], ["1", "1217", " ALX", " ATE"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "1334", " ADT", " AKK"], ["6", "812", " ARB", " CAK"], ["2", "322", " ALN", " ARB"], ["7", "571", " ADG", " OTS"], ["1", "371", " WKK", " AKC"], ["1", "828", " HMN", " EDF"], ["1", "148", " HMN", " ABL"], ["3", "827", " AEL", " ABQ"], ["3", "549", " ASX", " ARX"], ["1", "1216", " ATE", " ALX"], ["12", "1281", " ARX", " AEX"], ["8", "1347", " ESF", " AND"], ["7", "115", " ADK", " ARB"], ["8", "752", " AEL", " ATE"], ["1", "143", " AKC", " ALI"], ["7", "119", " ANW", " AKK"], ["3", "240", " AKC", " MMI"], ["1", "829", " EDF", " HMN"], ["2", "323", " ARB", " ALN"], ["8", "753", " ATE", " AEL"], ["9", "747", " ESF", " WKK"], ["12", "157", " ESF", " ABY"], ["3", "245", " AHT", " EDF"], ["7", "118", " AKK", " ANW"], ["7", "114", " ARB", " ADK"], ["12", "1023", " AHN", " AKI"], ["3", "1141", " ALB", " ATW"], ["2", "902", " AKO", " OTS"], ["3", "126", " LTS", " EDF"], ["7", "337", " AUK", " AXG"], ["11", "1013", " ALZ", " ABI"], ["7", "1096", " ABI", " EDF"], ["12", "326", " ATO", " AOS"], ["7", "121", " ALX", " AKI"], ["12", "850", " ARC", " AET"], ["1", "370", " AKC", " WKK"], ["11", "285", " WKK", " ABQ"], ["2", "886", " ANW", " ABY"], ["3", "826", " ABQ", " AEL"], ["7", "317", " AKI", " AST"], ["8", "1087", " AFO", " EDF"], ["10", "1137", " ABI", " ABL"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "601", " AKI", " ABQ"], ["11", "1079", " ADG", " ALZ"], ["8", "1346", " AND", " ESF"], ["8", "543", " NGZ", " ABQ"], ["8", "512", " ABQ", " ADK"], ["12", "156", " ABY", " ESF"], ["6", "907", " RFK", " ARC"], ["11", "437", " AND", " ABQ"], ["8", "873", " CAK", " ABY"], ["7", "1097", " EDF", " ABI"], ["10", "1136", " ABL", " ABI"]]	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 flights fly from Aberdeen to Ashley?	[["0"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["2", "US Airways", "USAir", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["1", "United Airlines", "UAL", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["12", "450", " ALB", " HMN"], ["12", "451", " HMN", " ALB"], ["1", "149", " ABL", " HMN"], ["1", "148", " HMN", " ABL"], ["7", "854", " KQA", " APN"], ["7", "855", " APN", " KQA"], ["7", "942", " AKP", " AIB"], ["2", "1077", " ABQ", " AXG"], ["3", "285", " AXN", " AXB"], ["8", "737", " ABQ", " ACV"], ["9", "747", " ESF", " WKK"], ["7", "943", " AIB", " AKP"], ["4", "265", " ATW", " ARB"], ["6", "162", " NDV", " AOS"], ["7", "737", " ABY", " ARX"], ["2", "1076", " AXG", " ABQ"], ["6", "347", " OTS", " ARB"], ["8", "640", " ABQ", " AOS"], ["12", "1107", " AIB", " RLI"], ["6", "670", " AYZ", " HMN"], ["7", "856", " LTS", " TDW"], ["12", "1106", " RLI", " AIB"], ["11", "436", " ABQ", " AND"], ["12", "368", " LTS", " ANB"], ["7", "720", " AED", " KQA"], ["7", "857", " TDW", " LTS"], ["8", "836", " APN", " ALB"], ["6", "210", " AXG", " AQY"], ["6", "814", " ANB", " NGZ"], ["6", "671", " HMN", " AYZ"], ["8", "837", " ALB", " APN"], ["6", "709", " ALI", " ANB"], ["10", "737", " AMN", " QAW"], ["7", "561", " ASE", " ATW"], ["12", "207", " AIV", " ARB"], ["8", "542", " ABQ", " NGZ"], ["6", "815", " NGZ", " ANB"], ["1", "1068", " APN", " ALB"], ["6", "179", " ALI", " ABQ"], ["6", "951", " AIB", " ALE"], ["11", "437", " AND", " ABQ"], ["12", "369", " ANB", " LTS"], ["2", "467", " AGN", " ARB"], ["11", "285", " WKK", " ABQ"], ["1", "1069", " ALB", " APN"], ["7", "721", " KQA", " AED"], ["3", "284", " AXB", " AXN"], ["3", "826", " ABQ", " AEL"], ["7", "1071", " ARB", " AET"], ["7", "76", " ARB", " ABL"], ["3", "1141", " ALB", " ATW"], ["6", "950", " ALE", " AIB"], ["2", "323", " ARB", " ALN"], ["2", "466", " ARB", " AGN"], ["7", "250", " AXS", " ATS"], ["11", "284", " ABQ", " WKK"], ["7", "560", " ATW", " ASE"], ["3", "118", " AXB", " ANA"], ["7", "793", " NGZ", " AIA"], ["1", "947", " ADR", " APV"], ["7", "792", " AIA", " NGZ"], ["8", "543", " NGZ", " ABQ"], ["12", "957", " ABL", " AKO"], ["3", "334", " ALI", " ATW"], ["3", "335", " ATW", " ALI"], ["7", "370", " QAW", " ATW"], ["8", "89", " AMW", " KQA"], ["3", "827", " AEL", " ABQ"], ["6", "708", " ANB", " ALI"], ["3", "207", " ALE", " ANB"], ["1", "946", " APV", " ADR"], ["3", "1187", " AET", " ANB"], ["2", "322", " ALN", " ARB"], ["4", "742", " HMN", " APG"], ["3", "626", " KQA", " ANV"], ["7", "77", " ABL", " ARB"], ["4", "264", " ARB", " ATW"], ["12", "206", " ARB", " AIV"], ["12", "956", " AKO", " ABL"], ["6", "346", " ARB", " OTS"], ["12", "1254", " AIB", " ANV"], ["11", "877", " AXX", " KQA"], ["1", "470", " ABQ", " MMI"], ["1", "1167", " AAF", " ABQ"], ["3", "1140", " ATW", " ALB"], ["1", "370", " AKC", " WKK"], ["9", "1044", " AQY", " NGZ"], ["3", "119", " ANA", " AXB"], ["5", "350", " ATW", " AOS"], ["3", "1186", " ANB", " AET"], ["11", "986", " MMI", " AIB"], ["12", "1255", " ANV", " AIB"], ["6", "51", " ALZ", " AIB"], ["6", "178", " ABQ", " ALI"], ["9", "617", " AND", " HMN"], ["1", "143", " AKC", " ALI"], ["4", "902", " NGZ", " ANQ"], ["9", "343", " ANC", " ALB"], ["8", "641", " AOS", " ABQ"], ["1", "276", " ARB", " ANV"], ["3", "962", " NGZ", " ALI"], ["8", "1419", " ATS", " AEL"], ["11", "987", " AIB", " MMI"], ["7", "542", " WKK", " ANC"], ["12", "925", " KKI", " ANB"], ["11", "876", " KQA", " AXX"], ["7", "663", " AKO", " ATS"], ["6", "50", " AIB", " ALZ"], ["1", "709", " AFO", " AXB"], ["3", "627", " ANV", " KQA"], ["7", "949", " OTS", " AKK"], ["12", "326", " ATO", " AOS"], ["6", "741", " AXG", " HMN"], ["6", "370", " WKK", " ADT"], ["7", "543", " ANC", " WKK"], ["6", "971", " AOS", " ASE"], ["8", "175", " ABQ", " DYS"], ["8", "174", " DYS", " ABQ"], ["1", "1166", " ABQ", " AAF"], ["2", "1286", " HMN", " ESF"], ["7", "813", " AXN", " AND"], ["4", "743", " APG", " HMN"], ["7", "493", " NAB", " OTS"], ["1", "142", " ALI", " AKC"], ["7", "230", " NGZ", " ABY"], ["6", "401", " ABR", " TDW"], ["11", "640", " AND", " AIA"], ["9", "1045", " NGZ", " AQY"], ["9", "616", " HMN", " AND"], ["6", "29", " APG", " ABQ"], ["7", "492", " OTS", " NAB"], ["6", "163", " AOS", " NDV"]]	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 flights does airline 'JetBlue Airways' have?	[["100"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["1", "United Airlines", "UAL", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["12", "450", " ALB", " HMN"], ["12", "451", " HMN", " ALB"], ["11", "436", " ABQ", " AND"], ["1", "149", " ABL", " HMN"], ["11", "437", " AND", " ABQ"], ["8", "640", " ABQ", " AOS"], ["1", "148", " HMN", " ABL"], ["7", "855", " APN", " KQA"], ["8", "737", " ABQ", " ACV"], ["4", "265", " ATW", " ARB"], ["12", "368", " LTS", " ANB"], ["2", "1076", " AXG", " ABQ"], ["2", "1077", " ABQ", " AXG"], ["8", "836", " APN", " ALB"], ["8", "542", " ABQ", " NGZ"], ["7", "942", " AKP", " AIB"], ["6", "347", " OTS", " ARB"], ["6", "670", " AYZ", " HMN"], ["7", "854", " KQA", " APN"], ["12", "1106", " RLI", " AIB"], ["7", "856", " LTS", " TDW"], ["10", "737", " AMN", " QAW"], ["7", "737", " ABY", " ARX"], ["9", "617", " AND", " HMN"], ["7", "943", " AIB", " AKP"], ["12", "369", " ANB", " LTS"], ["8", "543", " NGZ", " ABQ"], ["12", "1107", " AIB", " RLI"], ["6", "815", " NGZ", " ANB"], ["9", "616", " HMN", " AND"], ["2", "466", " ARB", " AGN"], ["11", "986", " MMI", " AIB"], ["8", "175", " ABQ", " DYS"], ["6", "162", " NDV", " AOS"], ["3", "285", " AXN", " AXB"], ["1", "1068", " APN", " ALB"], ["3", "826", " ABQ", " AEL"], ["4", "742", " HMN", " APG"], ["7", "370", " QAW", " ATW"], ["6", "210", " AXG", " AQY"], ["4", "264", " ARB", " ATW"], ["7", "561", " ASE", " ATW"], ["2", "467", " AGN", " ARB"], ["7", "857", " TDW", " LTS"], ["6", "671", " HMN", " AYZ"], ["8", "174", " DYS", " ABQ"], ["1", "1167", " AAF", " ABQ"], ["3", "334", " ALI", " ATW"], ["6", "814", " ANB", " NGZ"], ["5", "350", " ATW", " AOS"], ["11", "640", " AND", " AIA"], ["8", "837", " ALB", " APN"], ["6", "346", " ARB", " OTS"], ["1", "470", " ABQ", " MMI"], ["1", "1166", " ABQ", " AAF"], ["3", "1141", " ALB", " ATW"], ["12", "206", " ARB", " AIV"], ["9", "343", " ANC", " ALB"], ["5", "432", " APV", " TDW"], ["3", "827", " AEL", " ABQ"], ["12", "1255", " ANV", " AIB"], ["2", "323", " ARB", " ALN"], ["3", "335", " ATW", " ALI"], ["11", "285", " WKK", " ABQ"], ["11", "284", " ABQ", " WKK"], ["5", "1129", " ASY", " ANB"], ["7", "77", " ABL", " ARB"], ["12", "207", " AIV", " ARB"], ["6", "29", " APG", " ABQ"], ["6", "179", " ALI", " ABQ"], ["7", "720", " AED", " KQA"], ["12", "326", " ATO", " AOS"], ["1", "1069", " ALB", " APN"], ["11", "987", " AIB", " MMI"], ["8", "89", " AMW", " KQA"], ["9", "468", " HMN", " AHD"], ["9", "230", " ANY", " ABQ"], ["7", "1071", " ARB", " AET"], ["12", "313", " ANC", " TDW"], ["4", "743", " APG", " HMN"], ["9", "747", " ESF", " WKK"], ["9", "1045", " NGZ", " AQY"], ["1", "276", " ARB", " ANV"], ["3", "432", " ABQ", " ANN"], ["12", "925", " KKI", " ANB"], ["5", "1128", " ANB", " ASY"], ["2", "322", " ALN", " ARB"], ["6", "709", " ALI", " ANB"], ["4", "871", " ARB", " ATE"], ["9", "279", " AST", " AHH"], ["8", "641", " AOS", " ABQ"], ["12", "1254", " AIB", " ANV"], ["4", "902", " NGZ", " ANQ"], ["6", "28", " ABQ", " APG"], ["6", "211", " AQY", " AXG"], ["5", "433", " TDW", " APV"], ["1", "471", " MMI", " ABQ"], ["6", "741", " AXG", " HMN"], ["7", "560", " ATW", " ASE"], ["9", "1044", " AQY", " NGZ"], ["3", "284", " AXB", " AXN"], ["7", "76", " ARB", " ABL"], ["6", "51", " ALZ", " AIB"], ["6", "932", " NDV", " ASY"], ["7", "793", " NGZ", " AIA"], ["11", "909", " ATO", " ANQ"], ["7", "813", " AXN", " AND"], ["3", "626", " KQA", " ANV"], ["1", "829", " EDF", " HMN"], ["12", "312", " TDW", " ANC"], ["7", "721", " KQA", " AED"], ["6", "621", " OTS", " AST"], ["12", "821", " ANW", " ALN"], ["5", "23", " ARB", " WKK"], ["11", "908", " ANQ", " ATO"], ["6", "163", " AOS", " NDV"], ["6", "708", " ANB", " ALI"], ["8", "469", " AGN", " HMN"], ["12", "957", " ABL", " AKO"], ["6", "951", " AIB", " ALE"], ["9", "469", " AHD", " HMN"], ["7", "812", " AND", " AXN"], ["7", "792", " AIA", " NGZ"], ["7", "230", " NGZ", " ABY"], ["4", "903", " ANQ", " NGZ"], ["12", "820", " ALN", " ANW"], ["6", "50", " AIB", " ALZ"], ["3", "1140", " ATW", " ALB"], ["1", "828", " HMN", " EDF"], ["5", "22", " WKK", " ARB"], ["10", "929", " AHD", " ANB"], ["7", "493", " NAB", " OTS"]]	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 number of Jetblue Airways flights.	[["100"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["1", "United Airlines", "UAL", "USA"], ["2", "US Airways", "USAir", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "605", " ASE", " ASY"], ["8", "604", " ASY", " ASE"], ["3", "922", " ASY", " AAF"], ["2", "747", " AST", " ANC"], ["11", "513", " ABR", " ASY"], ["9", "224", " ASY", " AHF"], ["3", "923", " AAF", " ASY"], ["4", "10", " ASY", " ATS"], ["4", "11", " ATS", " ASY"], ["8", "671", " CVO", " ASY"], ["3", "1275", " AFO", " ASY"], ["8", "670", " ASY", " CVO"], ["12", "121", " ADK", " ASY"], ["9", "225", " AHF", " ASY"], ["3", "1274", " ASY", " AFO"], ["11", "379", " ASY", " RFK"], ["6", "971", " AOS", " ASE"], ["6", "569", " AMW", " ASY"], ["11", "378", " RFK", " ASY"], ["3", "734", " ASY", " NDV"], ["3", "735", " NDV", " ASY"], ["12", "120", " ASY", " ADK"], ["6", "932", " NDV", " ASY"], ["6", "933", " ASY", " NDV"], ["7", "316", " AST", " AKI"], ["7", "317", " AKI", " AST"], ["11", "512", " ASY", " ABR"], ["8", "726", " ACV", " ASY"], ["7", "58", " ASX", " AST"], ["6", "568", " ASY", " AMW"], ["2", "359", " ASX", " ASE"], ["5", "1129", " ASY", " ANB"], ["6", "82", " ABY", " ATO"], ["7", "663", " AKO", " ATS"], ["7", "59", " AST", " ASX"], ["12", "1127", " ABY", " RLI"], ["7", "737", " ABY", " ARX"], ["12", "779", " AQY", " ABY"], ["7", "560", " ATW", " ASE"], ["7", "561", " ASE", " ATW"], ["5", "1204", " AOS", " AST"], ["3", "300", " ASY", " ALE"], ["12", "1126", " RLI", " ABY"], ["9", "279", " AST", " AHH"], ["11", "835", " AXN", " ATS"], ["9", "1061", " ADK", " AST"], ["8", "727", " ASY", " ACV"], ["7", "662", " ATS", " AKO"], ["5", "1128", " ANB", " ASY"], ["5", "1205", " AST", " AOS"], ["3", "397", " ASX", " AED"], ["6", "83", " ATO", " ABY"], ["2", "358", " ASE", " ASX"], ["12", "778", " ABY", " AQY"], ["1", "560", " AHF", " ATO"], ["2", "1361", " AST", " AHH"], ["12", "585", " ASE", " ALZ"], ["2", "1360", " AHH", " AST"], ["1", "1063", " AFO", " AQY"], ["9", "159", " AQY", " AKO"], ["1", "811", " AQY", " ARC"], ["6", "211", " AQY", " AXG"], ["2", "886", " ANW", " ABY"], ["3", "396", " AED", " ASX"], ["9", "748", " ATS", " RLI"], ["12", "971", " ADM", " AST"], ["8", "995", " AXB", " ABY"], ["5", "726", " RFK", " ASY"], ["8", "1419", " ATS", " AEL"], ["11", "834", " ATS", " AXN"], ["11", "908", " ANQ", " ATO"], ["2", "887", " ABY", " ANW"], ["8", "957", " AQY", " ADK"], ["12", "584", " ALZ", " ASE"], ["11", "909", " ATO", " ANQ"], ["1", "810", " ARC", " AQY"], ["2", "746", " ANC", " AST"], ["1", "609", " DYS", " AST"], ["1", "1062", " AQY", " AFO"], ["9", "749", " RLI", " ATS"], ["12", "425", " ABY", " RLI"], ["2", "921", " ASX", " AET"], ["5", "919", " QAW", " ASY"], ["9", "158", " AKO", " AQY"], ["12", "327", " AOS", " ATO"], ["8", "994", " ABY", " AXB"], ["8", "956", " ADK", " AQY"], ["8", "1281", " AET", " ATO"], ["8", "1418", " AEL", " ATS"], ["3", "1011", " AST", " CVO"], ["6", "210", " AXG", " AQY"], ["7", "250", " AXS", " ATS"], ["5", "727", " ASY", " RFK"], ["12", "424", " RLI", " ABY"], ["3", "301", " ALE", " ASY"], ["8", "1280", " ATO", " AET"], ["11", "705", " AKI", " ADR"], ["5", "918", " ASY", " QAW"], ["1", "925", " ASX", " AXG"], ["10", "600", " ABQ", " AKI"], ["9", "278", " AHH", " AST"], ["3", "194", " AST", " ARX"], ["1", "561", " ATO", " AHF"], ["12", "891", " ALS", " ATO"], ["8", "1349", " AHF", " ANI"], ["6", "970", " ASE", " AOS"], ["9", "681", " AGN", " ABY"], ["1", "28", " APG", " ASY"], ["11", "704", " ADR", " AKI"], ["3", "195", " ARX", " AST"], ["11", "89", " AQY", " ANY"], ["1", "29", " ASY", " APG"], ["12", "326", " ATO", " AOS"], ["6", "621", " OTS", " AST"], ["3", "1010", " CVO", " AST"], ["2", "920", " AET", " ASX"], ["6", "620", " AST", " OTS"], ["9", "1044", " AQY", " NGZ"], ["1", "924", " AXG", " ASX"], ["7", "981", " AIA", " AUK"], ["2", "670", " KKI", " ATS"], ["1", "608", " AST", " DYS"], ["7", "230", " NGZ", " ABY"], ["1", "91", " ABR", " ATO"], ["11", "955", " AQY", " AHH"], ["5", "617", " ASX", " AHH"], ["9", "635", " ATW", " AKI"], ["10", "647", " ASE", " ARB"], ["8", "640", " ABQ", " AOS"], ["10", "1299", " ALS", " ATS"], ["8", "737", " ABQ", " ACV"], ["4", "565", " AED", " AYZ"], ["1", "1167", " AAF", " ABQ"], ["7", "736", " ARX", " ABY"]]	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 'United Airlines' flights go to Airport 'ASY'?	[["0"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["1", "United Airlines", "UAL", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["5", "American Airlines", "American", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "224", " ASY", " AHF"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "225", " AHF", " ASY"], ["8", "605", " ASE", " ASY"], ["8", "604", " ASY", " ASE"], ["8", "670", " ASY", " CVO"], ["8", "671", " CVO", " ASY"], ["11", "513", " ABR", " ASY"], ["12", "121", " ADK", " ASY"], ["4", "10", " ASY", " ATS"], ["11", "379", " ASY", " RFK"], ["6", "932", " NDV", " ASY"], ["4", "11", " ATS", " ASY"], ["2", "747", " AST", " ANC"], ["6", "933", " ASY", " NDV"], ["6", "569", " AMW", " ASY"], ["9", "279", " AST", " AHH"], ["3", "922", " ASY", " AAF"], ["11", "378", " RFK", " ASY"], ["3", "923", " AAF", " ASY"], ["12", "120", " ASY", " ADK"], ["6", "971", " AOS", " ASE"], ["3", "735", " NDV", " ASY"], ["5", "1129", " ASY", " ANB"], ["3", "1275", " AFO", " ASY"], ["7", "316", " AST", " AKI"], ["3", "734", " ASY", " NDV"], ["12", "1127", " ABY", " RLI"], ["1", "811", " AQY", " ARC"], ["3", "1274", " ASY", " AFO"], ["6", "568", " ASY", " AMW"], ["6", "82", " ABY", " ATO"], ["12", "779", " AQY", " ABY"], ["11", "512", " ASY", " ABR"], ["12", "1126", " RLI", " ABY"], ["7", "317", " AKI", " AST"], ["8", "726", " ACV", " ASY"], ["5", "1128", " ANB", " ASY"], ["6", "211", " AQY", " AXG"], ["9", "748", " ATS", " RLI"], ["7", "561", " ASE", " ATW"], ["11", "835", " AXN", " ATS"], ["1", "810", " ARC", " AQY"], ["12", "425", " ABY", " RLI"], ["9", "278", " AHH", " AST"], ["9", "1061", " ADK", " AST"], ["9", "749", " RLI", " ATS"], ["2", "1361", " AST", " AHH"], ["12", "778", " ABY", " AQY"], ["11", "909", " ATO", " ANQ"], ["9", "159", " AQY", " AKO"], ["5", "1205", " AST", " AOS"], ["11", "908", " ANQ", " ATO"], ["5", "1204", " AOS", " AST"], ["7", "560", " ATW", " ASE"], ["9", "158", " AKO", " AQY"], ["7", "663", " AKO", " ATS"], ["12", "971", " ADM", " AST"], ["1", "560", " AHF", " ATO"], ["7", "737", " ABY", " ARX"], ["8", "1349", " AHF", " ANI"], ["12", "585", " ASE", " ALZ"], ["8", "956", " ADK", " AQY"], ["6", "210", " AXG", " AQY"], ["8", "995", " AXB", " ABY"], ["8", "957", " AQY", " ADK"], ["2", "886", " ANW", " ABY"], ["8", "1419", " ATS", " AEL"], ["3", "1011", " AST", " CVO"], ["6", "83", " ATO", " ABY"], ["9", "1044", " AQY", " NGZ"], ["11", "834", " ATS", " AXN"], ["5", "238", " AHF", " ABY"], ["1", "1063", " AFO", " AQY"], ["8", "727", " ASY", " ACV"], ["9", "681", " AGN", " ABY"], ["9", "1045", " NGZ", " AQY"], ["7", "58", " ASX", " AST"], ["8", "1418", " AEL", " ATS"], ["10", "600", " ABQ", " AKI"], ["12", "327", " AOS", " ATO"], ["8", "994", " ABY", " AXB"], ["12", "584", " ALZ", " ASE"], ["1", "561", " ATO", " AHF"], ["5", "726", " RFK", " ASY"], ["11", "955", " AQY", " AHH"], ["5", "919", " QAW", " ASY"], ["2", "887", " ABY", " ANW"], ["8", "737", " ABQ", " ACV"], ["12", "326", " ATO", " AOS"], ["8", "373", " AKC", " AHF"], ["8", "640", " ABQ", " AOS"], ["12", "424", " RLI", " ABY"], ["11", "825", " ANW", " ABI"], ["2", "1360", " AHH", " AST"], ["8", "372", " AHF", " AKC"], ["1", "1062", " AQY", " AFO"], ["7", "1081", " AGN", " AHF"], ["7", "662", " ATS", " AKO"], ["11", "89", " AQY", " ANY"], ["6", "620", " AST", " OTS"], ["12", "1022", " AKI", " AHN"], ["12", "1023", " AHN", " AKI"], ["12", "891", " ALS", " ATO"], ["9", "79", " JLH", " ASE"], ["6", "621", " OTS", " AST"], ["7", "59", " AST", " ASX"], ["7", "250", " AXS", " ATS"], ["5", "918", " ASY", " QAW"], ["7", "230", " NGZ", " ABY"], ["10", "601", " AKI", " ABQ"], ["3", "300", " ASY", " ALE"], ["8", "1348", " ANI", " AHF"], ["3", "461", " AHD", " RLI"], ["9", "635", " ATW", " AKI"], ["1", "1167", " AAF", " ABQ"], ["2", "746", " ANC", " AST"], ["9", "895", " AHT", " AAF"], ["9", "1188", " AHF", " OTS"], ["7", "231", " ABY", " NGZ"], ["9", "680", " ABY", " AGN"], ["8", "89", " AMW", " KQA"], ["5", "727", " ASY", " RFK"], ["1", "1166", " ABQ", " AAF"], ["7", "251", " ATS", " AXS"], ["2", "359", " ASX", " ASE"], ["6", "670", " AYZ", " HMN"], ["11", "88", " ANY", " AQY"], ["8", "247", " AST", " AIK"], ["8", "1376", " WKK", " ASE"], ["9", "78", " ASE", " JLH"], ["8", "653", " AHD", " AHF"]]	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 United Airlines flights arriving in ASY Airport.	[["0"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["1", "United Airlines", "UAL", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["5", "American Airlines", "American", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "653", " AHD", " AHF"], ["8", "652", " AHF", " AHD"], ["3", "461", " AHD", " RLI"], ["9", "468", " HMN", " AHD"], ["3", "460", " RLI", " AHD"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "469", " AHD", " HMN"], ["12", "209", " AHD", " AHN"], ["1", "786", " ACV", " AHD"], ["12", "208", " AHN", " AHD"], ["1", "54", " AHD", " AHT"], ["8", "1349", " AHF", " ANI"], ["9", "894", " AAF", " AHT"], ["7", "1081", " AGN", " AHF"], ["8", "373", " AKC", " AHF"], ["1", "55", " AHT", " AHD"], ["1", "787", " AHD", " ACV"], ["8", "372", " AHF", " AKC"], ["9", "895", " AHT", " AAF"], ["8", "1348", " ANI", " AHF"], ["10", "929", " AHD", " ANB"], ["7", "1031", " AXS", " AED"], ["1", "560", " AHF", " ATO"], ["9", "1188", " AHF", " OTS"], ["1", "744", " AED", " OTS"], ["7", "721", " KQA", " AED"], ["9", "225", " AHF", " ASY"], ["1", "561", " ATO", " AHF"], ["10", "928", " ANB", " AHD"], ["2", "644", " AHD", " AMA"], ["6", "717", " AHF", " AKP"], ["9", "224", " ASY", " AHF"], ["12", "1023", " AHN", " AKI"], ["10", "1256", " AED", " ADM"], ["1", "556", " AYZ", " AHD"], ["1", "1250", " ARC", " AED"], ["1", "745", " OTS", " AED"], ["11", "1136", " AEX", " AHF"], ["9", "646", " ARX", " AHF"], ["6", "811", " DYS", " AHD"], ["6", "716", " AKP", " AHF"], ["1", "1251", " AED", " ARC"], ["12", "1022", " AKI", " AHN"], ["3", "1041", " OTS", " AHF"], ["11", "1137", " AHF", " AEX"], ["10", "1257", " ADM", " AED"], ["2", "645", " AMA", " AHD"], ["6", "250", " AXX", " AED"], ["9", "1189", " OTS", " AHF"], ["12", "1121", " AHF", " JLH"], ["3", "396", " AED", " ASX"], ["7", "1030", " AED", " AXS"], ["7", "720", " AED", " KQA"], ["3", "397", " ASX", " AED"], ["9", "647", " AHF", " ARX"], ["6", "162", " NDV", " AOS"], ["1", "557", " AHD", " AYZ"], ["3", "826", " ABQ", " AEL"], ["8", "1419", " ATS", " AEL"], ["2", "1243", " AMA", " AED"], ["9", "828", " ADG", " HMN"], ["8", "1418", " AEL", " ATS"], ["9", "623", " KKI", " AED"], ["6", "251", " AED", " AXX"], ["9", "279", " AST", " AHH"], ["12", "1120", " JLH", " AHF"], ["4", "564", " AYZ", " AED"], ["6", "810", " AHD", " DYS"], ["8", "1233", " AKI", " NDV"], ["4", "565", " AED", " AYZ"], ["9", "829", " HMN", " ADG"], ["10", "175", " AMA", " AED"], ["2", "1242", " AED", " AMA"], ["7", "981", " AIA", " AUK"], ["5", "238", " AHF", " ABY"], ["3", "244", " EDF", " AHT"], ["2", "747", " AST", " ANC"], ["1", "626", " AKI", " AEL"], ["8", "1232", " NDV", " AKI"], ["1", "829", " EDF", " HMN"], ["3", "827", " AEL", " ABQ"], ["8", "737", " ABQ", " ACV"], ["2", "1361", " AST", " AHH"], ["3", "268", " AMW", " AHN"], ["1", "1166", " ABQ", " AAF"], ["10", "827", " ARB", " AHH"], ["4", "946", " AHT", " AXG"], ["11", "704", " ADR", " AKI"], ["1", "828", " HMN", " EDF"], ["9", "622", " AED", " KKI"], ["3", "439", " AUK", " AFO"], ["10", "821", " ACV", " AHN"], ["10", "1315", " AHF", " AIV"], ["3", "438", " AFO", " AUK"], ["2", "1360", " AHH", " AST"], ["10", "1314", " AIV", " AHF"], ["6", "163", " AOS", " NDV"], ["4", "166", " AAF", " AKI"], ["3", "245", " AHT", " EDF"], ["6", "371", " ADT", " WKK"], ["11", "135", " ADG", " NDV"], ["4", "947", " AXG", " AHT"], ["9", "1006", " AET", " ANV"], ["1", "1167", " AAF", " ABQ"], ["3", "269", " AHN", " AMW"], ["10", "826", " AHH", " ARB"], ["4", "167", " AKI", " AAF"], ["8", "833", " MMI", " AAF"], ["11", "505", " AKO", " AAF"], ["8", "1086", " EDF", " AFO"], ["8", "714", " JLH", " AAF"], ["11", "134", " NDV", " ADG"], ["9", "278", " AHH", " AST"], ["8", "832", " AAF", " MMI"], ["7", "663", " AKO", " ATS"], ["1", "627", " AEL", " AKI"], ["9", "748", " ATS", " RLI"], ["7", "337", " AUK", " AXG"], ["8", "715", " AAF", " JLH"], ["12", "1056", " ALN", " ADR"], ["8", "420", " AKP", " ADT"], ["1", "1027", " DYS", " AHN"], ["6", "370", " WKK", " ADT"], ["9", "882", " ADT", " ALZ"], ["11", "705", " AKI", " ADR"], ["10", "54", " KQA", " AHF"], ["2", "193", " NDV", " AKK"], ["9", "616", " HMN", " AND"], ["8", "1183", " ARC", " AKI"]]	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 'United Airlines' flights depart from Airport 'AHD'?	[["0"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["1", "United Airlines", "UAL", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["2", "US Airways", "USAir", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["3", "Delta Airlines", "Delta", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "653", " AHD", " AHF"], ["8", "652", " AHF", " AHD"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["5", "American Airlines", "American", "USA"], ["7", "Continental Airlines", "Continental", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "468", " HMN", " AHD"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["4", "Southwest Airlines", "Southwest", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "461", " AHD", " RLI"], ["3", "460", " RLI", " AHD"], ["12", "209", " AHD", " AHN"], ["9", "469", " AHD", " HMN"], ["12", "208", " AHN", " AHD"], ["9", "225", " AHF", " ASY"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["8", "JetBlue Airways", "JetBlue", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "929", " AHD", " ANB"], ["9", "895", " AHT", " AAF"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "928", " ANB", " AHD"], ["9", "1188", " AHF", " OTS"], ["9", "894", " AAF", " AHT"], ["9", "224", " ASY", " AHF"], ["8", "1349", " AHF", " ANI"], ["1", "54", " AHD", " AHT"], ["8", "372", " AHF", " AKC"], ["1", "55", " AHT", " AHD"], ["9", "279", " AST", " AHH"], ["8", "373", " AKC", " AHF"], ["1", "786", " ACV", " AHD"], ["8", "1348", " ANI", " AHF"], ["9", "1189", " OTS", " AHF"], ["7", "1081", " AGN", " AHF"], ["12", "1121", " AHF", " JLH"], ["1", "560", " AHF", " ATO"], ["12", "1023", " AHN", " AKI"], ["12", "1022", " AKI", " AHN"], ["1", "561", " ATO", " AHF"], ["12", "1120", " JLH", " AHF"], ["6", "811", " DYS", " AHD"], ["11", "1136", " AEX", " AHF"], ["6", "717", " AHF", " AKP"], ["8", "1419", " ATS", " AEL"], ["7", "1031", " AXS", " AED"], ["9", "646", " ARX", " AHF"], ["8", "1418", " AEL", " ATS"], ["11", "1137", " AHF", " AEX"], ["6", "716", " AKP", " AHF"], ["10", "827", " ARB", " AHH"], ["3", "1041", " OTS", " AHF"], ["2", "1361", " AST", " AHH"], ["1", "1250", " ARC", " AED"], ["1", "745", " OTS", " AED"], ["9", "278", " AHH", " AST"], ["1", "787", " AHD", " ACV"], ["9", "748", " ATS", " RLI"], ["1", "556", " AYZ", " AHD"], ["5", "238", " AHF", " ABY"], ["7", "721", " KQA", " AED"], ["1", "744", " AED", " OTS"], ["1", "1251", " AED", " ARC"], ["3", "826", " ABQ", " AEL"], ["10", "1256", " AED", " ADM"], ["2", "1360", " AHH", " AST"], ["10", "826", " AHH", " ARB"], ["9", "647", " AHF", " ARX"], ["6", "810", " AHD", " DYS"], ["10", "1257", " ADM", " AED"], ["9", "749", " RLI", " ATS"], ["2", "644", " AHD", " AMA"], ["7", "1030", " AED", " AXS"], ["9", "828", " ADG", " HMN"], ["3", "827", " AEL", " ABQ"], ["2", "645", " AMA", " AHD"], ["9", "1006", " AET", " ANV"], ["11", "955", " AQY", " AHH"], ["1", "557", " AHD", " AYZ"], ["10", "1315", " AHF", " AIV"], ["7", "720", " AED", " KQA"], ["9", "829", " HMN", " ADG"], ["6", "162", " NDV", " AOS"], ["10", "821", " ACV", " AHN"], ["6", "211", " AQY", " AXG"], ["12", "540", " AHT", " AMW"], ["6", "371", " ADT", " WKK"], ["8", "1232", " NDV", " AKI"], ["6", "251", " AED", " AXX"], ["6", "250", " AXX", " AED"], ["11", "158", " AHT", " ANV"], ["3", "396", " AED", " ASX"], ["8", "1233", " AKI", " NDV"], ["9", "882", " ADT", " ALZ"], ["8", "513", " ADK", " ABQ"], ["4", "946", " AHT", " AXG"], ["8", "737", " ABQ", " ACV"], ["8", "715", " AAF", " JLH"], ["1", "626", " AKI", " AEL"], ["10", "1391", " ABL", " ADG"], ["3", "397", " ASX", " AED"], ["6", "932", " NDV", " ASY"], ["11", "135", " ADG", " NDV"], ["2", "747", " AST", " ANC"], ["8", "832", " AAF", " MMI"], ["11", "159", " ANV", " AHT"], ["1", "1166", " ABQ", " AAF"], ["8", "1086", " EDF", " AFO"], ["3", "268", " AMW", " AHN"], ["9", "1061", " ADK", " AST"], ["9", "159", " AQY", " AKO"], ["9", "635", " ATW", " AKI"], ["8", "752", " AEL", " ATE"], ["9", "158", " AKO", " AQY"], ["12", "541", " AMW", " AHT"], ["3", "244", " EDF", " AHT"], ["7", "981", " AIA", " AUK"], ["5", "239", " ABY", " AHF"], ["4", "947", " AXG", " AHT"], ["9", "1007", " ANV", " AET"], ["9", "623", " KKI", " AED"], ["1", "1027", " DYS", " AHN"], ["7", "316", " AST", " AKI"], ["7", "317", " AKI", " AST"], ["11", "704", " ADR", " AKI"], ["8", "833", " MMI", " AAF"], ["2", "1076", " AXG", " ABQ"], ["11", "825", " ANW", " ABI"], ["7", "737", " ABY", " ARX"], ["1", "1167", " AAF", " ABQ"]]	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 number of United Airlines flights leaving from AHD Airport.	[["0"]]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["1", "United Airlines", "UAL", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["2", "US Airways", "USAir", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["7", "Continental Airlines", "Continental", "USA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["5", "American Airlines", "American", "USA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["8", "JetBlue Airways", "JetBlue", "USA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["4", "Southwest Airlines", "Southwest", "USA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"], ["Albany ", "ALB", "Albany International ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "947", " AKK", " AXG"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "1335", " AKK", " ADT"], ["12", "946", " AXG", " AKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "1334", " ADT", " AKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"], ["Akiak ", "AKI", "Akiak ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "529", " AKK", " ARB"], ["7", "948", " AKK", " OTS"], ["7", "949", " OTS", " AKK"], ["3", "528", " ARB", " AKK"], ["12", "234", " EDF", " AKK"], ["8", "1183", " ARC", " AKI"], ["7", "316", " AST", " AKI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alakanuk ", "AUK", "Alakanuk ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "265", " AKI", " AMW"], ["12", "235", " AKK", " EDF"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "336", " AXG", " AUK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "705", " AKI", " ADR"], ["12", "957", " ABL", " AKO"], ["8", "1182", " AKI", " ARC"], ["12", "956", " AKO", " ABL"], ["11", "704", " ADR", " AKI"], ["12", "1023", " AHN", " AKI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Altus ", "AXS", "Municipal ", "United States ", "US"], ["Arctic Village ", "ARC", "Arctic Village ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "373", " AKC", " AHF"], ["12", "264", " AMW", " AKI"], ["3", "240", " AKC", " MMI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Astoria ", "AST", "Astoria ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "626", " AKI", " AEL"], ["9", "635", " ATW", " AKI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Adrian ", "ADG", "Lenawee County ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "634", " AKI", " ATW"], ["7", "337", " AUK", " AXG"], ["7", "663", " AKO", " ATS"], ["6", "971", " AOS", " ASE"], ["1", "370", " AKC", " WKK"], ["10", "603", " ADK", " AKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Alexandria LA ", "AEX", "Alexandria International ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "372", " AHF", " AKC"], ["2", "193", " NDV", " AKK"], ["1", "627", " AEL", " AKI"], ["12", "1022", " AKI", " AHN"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Allakaket ", "AET", "Allakaket ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "1126", " AKI", " ESF"], ["7", "317", " AKI", " AST"], ["7", "1119", " AKI", " MMI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Athens ", "MMI", "McMinn County ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "192", " AKK", " NDV"]]	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 United Airlines flights go to City 'Aberdeen'?	[["0"]]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["1", "United Airlines", "UAL", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["2", "US Airways", "USAir", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["5", "American Airlines", "American", "USA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["8", "JetBlue Airways", "JetBlue", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "234", " EDF", " AKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "946", " AXG", " AKK"], ["12", "947", " AKK", " AXG"], ["8", "373", " AKC", " AHF"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["4", "Southwest Airlines", "Southwest", "USA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "372", " AHF", " AKC"], ["7", "948", " AKK", " OTS"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Albany ", "ALB", "Albany International ", "United States ", "US"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1183", " ARC", " AKI"], ["3", "529", " AKK", " ARB"], ["12", "1334", " ADT", " AKK"], ["12", "1023", " AHN", " AKI"], ["3", "528", " ARB", " AKK"], ["7", "949", " OTS", " AKK"], ["6", "971", " AOS", " ASE"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "617", " AND", " HMN"], ["12", "235", " AKK", " EDF"], ["8", "1182", " AKI", " ARC"], ["1", "309", " AKC", " ATE"], ["1", "829", " EDF", " HMN"], ["9", "616", " HMN", " AND"], ["8", "653", " AHD", " AHF"], ["9", "224", " ASY", " AHF"], ["12", "540", " AHT", " AMW"], ["9", "468", " HMN", " AHD"], ["9", "225", " AHF", " ASY"], ["12", "1022", " AKI", " AHN"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alakanuk ", "AUK", "Alakanuk ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "1335", " AKK", " ADT"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Adrian ", "ADG", "Lenawee County ", "United States ", "US"], ["Akiak ", "AKI", "Akiak ", "United States ", "US"], ["Albert Lea ", "AEL", "Albert Lea ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "747", " ESF", " WKK"], ["1", "828", " HMN", " EDF"], ["12", "265", " AKI", " AMW"], ["9", "1188", " AHF", " OTS"], ["7", "336", " AXG", " AUK"], ["2", "193", " NDV", " AKK"], ["8", "652", " AHF", " AHD"], ["7", "316", " AST", " AKI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "89", " AMW", " KQA"], ["7", "337", " AUK", " AXG"], ["8", "469", " AGN", " HMN"], ["7", "119", " ANW", " AKK"], ["12", "121", " ADK", " ASY"], ["6", "717", " AHF", " AKP"], ["6", "716", " AKP", " AHF"], ["1", "371", " WKK", " AKC"], ["12", "327", " AOS", " ATO"], ["1", "149", " ABL", " HMN"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1376", " WKK", " ASE"], ["7", "844", " MMI", " AOS"], ["1", "370", " AKC", " WKK"], ["4", "871", " ARB", " ATE"], ["9", "634", " AKI", " ATW"], ["8", "1086", " EDF", " AFO"], ["8", "1419", " ATS", " AEL"], ["10", "827", " ARB", " AHH"], ["8", "1418", " AEL", " ATS"], ["8", "833", " MMI", " AAF"], ["12", "850", " ARC", " AET"], ["2", "466", " ARB", " AGN"], ["12", "541", " AMW", " AHT"], ["9", "279", " AST", " AHH"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Athens ", "MMI", "McMinn County ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "264", " AMW", " AKI"], ["6", "162", " NDV", " AOS"]]	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 United Airlines flights that arrive in Aberdeen.	[["0"]]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Anacostia ", "NDV", "USN Heliport ", "United States ", "US"], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"], [" Alexandria LA ", "AEX", "Alexandria International ", "United States ", "US"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Alameda ", "NGZ", "NAS ", "United States ", "US"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"], ["Anniston ", "QAW", "Ft Mcclellan Bus Trml ", "United States ", "US"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"], ["Astoria ", "AST", "Astoria ", "United States ", "US"], ["Alamogordo ", "ALM", "Municipal ", "United States ", "US"], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"], [" Ann Arbor MI ", "ARB", "Municipal ", "United States ", "US"], ["Albuquerque ", "ABQ", "Albuquerque International ", "United States ", "US"], ["Albany ", "ALB", "Albany International ", "United States ", "US"], [" Neptune ", "ARX", "Asbury Park ", "United States ", "US"], ["Amityville ", "AYZ", "Zahns ", "United States ", "US"], ["Akron/Canton OH ", "CAK", "Akron/canton Regional ", "United States ", "US"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"], ["Altus ", "AXS", "Municipal ", "United States ", "US"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"], ["Alyeska ", "AQY", "Alyeska ", "United States ", "US"], ["Ashland ", "ASX", "Ashland ", "United States ", "US"], [" Aliceville AL ", "AIV", "George Downer ", "United States ", "US"], ["Athens ", "AHN", "Athens ", "United States ", "US"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"], ["Abilene ", "ABI", "Municipal ", "United States ", "US"], ["Artesia ", "ATS", "Artesia ", "United States ", "US"], ["Athens ", "MMI", "McMinn County ", "United States ", "US"], ["Alamosa ", "ALS", "Municipal ", "United States ", "US"], ["Ardmore ", "ADM", "Ardmore Municipal Arpt ", "United States ", "US"], ["Anguilla ", "RFK", "Rollang Field ", "United States ", "US"], ["Athens ", "ATO", "Ohio University ", "United States ", "US"], ["Afton ", "AFO", "Municipal ", "United States ", "US"], ["Annapolis ", "ANP", "Lee ", "United States ", "US"], ["Apalachicola ", "AAF", "Municipal ", "United States ", "US"], ["Anaheim ", "ANA", "Orange County Steel Salvage Heliport ", "United States ", "US"], ["Alice ", "ALI", "International ", "United States ", "US"], ["Alitak ", "ALZ", "Alitak SPB ", "United States ", "US"], ["Aleneva ", "AED", "Aleneva ", "United States ", "US"], ["Aspen ", "ASE", "Aspen ", "United States ", "US"], ["Alexandria ", "AXN", "Alexandria ", "United States ", "US"], ["Albert Lea ", "AEL", "Albert Lea ", "United States ", "US"], ["Apple Valley ", "APV", "Apple Valley ", "United States ", "US"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"], ["Anita Bay ", "AIB", "Anita Bay ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "135", " ADG", " NDV"], ["11", "134", " NDV", " ADG"], ["11", "1079", " ADG", " ALZ"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Amarillo ", "TDW", "Tradewind ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["10", "737", " AMN", " QAW"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anderson ", "AID", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1349", " AHF", " ANI"], ["11", "1012", " ABI", " ALZ"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anvik ", "ANV", "Anvik ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "1013", " ALZ", " ABI"], ["8", "1233", " AKI", " NDV"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Arctic Village ", "ARC", "Arctic Village ", "United States ", "US"], ["Angola ", "ANQ", "Tri-State Steuben Cty ", "United States ", "US"], ["Akiachak ", "KKI", "Spb ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "737", " ABY", " ARX"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Amery ", "AHH", "Municipal ", "United States ", "US"], ["Aniak ", "ANI", "Aniak ", "United States ", "US"], ["Akiak ", "AKI", "Akiak ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1232", " NDV", " AKI"], ["11", "1179", " AFO", " KQA"], ["7", "855", " APN", " KQA"], ["2", "193", " NDV", " AKK"], ["6", "373", " MMI", " ATE"], ["11", "1178", " KQA", " AFO"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Angoon ", "AGN", "Angoon ", "United States ", "US"], ["Aiken ", "AIK", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "337", " AUK", " AXG"], ["6", "162", " NDV", " AOS"], ["8", "1419", " ATS", " AEL"], ["8", "1535", " CAK", " AMN"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Albany ", "CVO", "Albany ", "United States ", "US"]]	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 city has most number of arriving flights?	[]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Anniston ", "QAW", "Ft Mcclellan Bus Trml ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Alameda ", "NGZ", "NAS ", "United States ", "US"], ["Anacostia ", "NDV", "USN Heliport ", "United States ", "US"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"], [" Alexandria LA ", "AEX", "Alexandria International ", "United States ", "US"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"], ["Amityville ", "AYZ", "Zahns ", "United States ", "US"], ["Altus ", "AXS", "Municipal ", "United States ", "US"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"], [" Neptune ", "ARX", "Asbury Park ", "United States ", "US"], ["Aleneva ", "AED", "Aleneva ", "United States ", "US"], ["Apalachicola ", "AAF", "Municipal ", "United States ", "US"], ["Astoria ", "AST", "Astoria ", "United States ", "US"], ["Abilene ", "ABI", "Municipal ", "United States ", "US"], ["Alamogordo ", "ALM", "Municipal ", "United States ", "US"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"], ["Anguilla ", "RFK", "Rollang Field ", "United States ", "US"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"], ["Akron/Canton OH ", "CAK", "Akron/canton Regional ", "United States ", "US"], [" Ann Arbor MI ", "ARB", "Municipal ", "United States ", "US"], ["Albuquerque ", "ABQ", "Albuquerque International ", "United States ", "US"], ["Artesia ", "ATS", "Artesia ", "United States ", "US"], ["Albany ", "ALB", "Albany International ", "United States ", "US"], ["Ashland ", "ASX", "Ashland ", "United States ", "US"], ["Afton ", "AFO", "Municipal ", "United States ", "US"], ["Alitak ", "ALZ", "Alitak SPB ", "United States ", "US"], ["Anaheim ", "ANA", "Orange County Steel Salvage Heliport ", "United States ", "US"], ["Alyeska ", "AQY", "Alyeska ", "United States ", "US"], ["Ardmore ", "ADM", "Ardmore Municipal Arpt ", "United States ", "US"], ["Athens ", "AHN", "Athens ", "United States ", "US"], ["Anniston ", "RLI", "Reilly AHP ", "United States ", "US"], ["Allakaket ", "AET", "Allakaket ", "United States ", "US"], [" Aliceville AL ", "AIV", "George Downer ", "United States ", "US"], ["Aleknagik ", "WKK", "Aleknagik ", "United States ", "US"], ["Annapolis ", "ANP", "Lee ", "United States ", "US"], ["Alamosa ", "ALS", "Municipal ", "United States ", "US"], ["Angola ", "ANQ", "Tri-State Steuben Cty ", "United States ", "US"], ["Amarillo ", "TDW", "Tradewind ", "United States ", "US"], ["Apple Valley ", "APV", "Apple Valley ", "United States ", "US"], ["Angoon ", "AGN", "Angoon ", "United States ", "US"], ["Alice ", "ALI", "International ", "United States ", "US"], ["Amery ", "AHH", "Municipal ", "United States ", "US"], ["Alakanuk ", "AUK", "Alakanuk ", "United States ", "US"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"], ["Aspen ", "ASE", "Aspen ", "United States ", "US"], ["Akutan ", "KQA", "Akutan ", "United States ", "US"], ["Aiken ", "AIK", "Municipal ", "United States ", "US"], ["Anita Bay ", "AIB", "Anita Bay ", "United States ", "US"], ["Anvik ", "ANV", "Anvik ", "United States ", "US"], ["Anaktuvuk ", "AKP", "Anaktuvuk ", "United States ", "US"], ["Akiachak ", "KKI", "Spb ", "United States ", "US"], ["Amchitka ", "AHT", "Amchitka ", "United States ", "US"], ["Alma ", "AMN", "Gratiot Community ", "United States ", "US"], ["Akiak ", "AKI", "Akiak ", "United States ", "US"], ["Albert Lea ", "AEL", "Albert Lea ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1349", " AHF", " ANI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anderson ", "AID", "Municipal ", "United States ", "US"], ["Arctic Village ", "ARC", "Arctic Village ", "United States ", "US"], ["Alexandria ", "AXN", "Alexandria ", "United States ", "US"], ["Athens ", "ATO", "Ohio University ", "United States ", "US"], ["Athens ", "MMI", "McMinn County ", "United States ", "US"], ["Aniak ", "ANI", "Aniak ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["9", "1007", " ANV", " AET"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Albany ", "CVO", "Albany ", "United States ", "US"], ["Alpine ", "ALE", "Alpine ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "949", " OTS", " AKK"], ["7", "854", " KQA", " APN"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Albany ", "NAB", "Albany NAS ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "337", " AUK", " AXG"], ["8", "1348", " ANI", " AHF"], ["10", "1117", " AFO", " ANI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Amook ", "AOS", "Amook ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "670", " ANA", " ADR"], ["7", "737", " ABY", " ARX"], ["7", "855", " APN", " KQA"]]	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 city has the most frequent destination airport?	[]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Anniston ", "QAW", "Ft Mcclellan Bus Trml ", "United States ", "US"], ["Anacostia ", "NDV", "USN Heliport ", "United States ", "US"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Alameda ", "NGZ", "NAS ", "United States ", "US"], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"], [" Alexandria LA ", "AEX", "Alexandria International ", "United States ", "US"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"], ["Astoria ", "AST", "Astoria ", "United States ", "US"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"], [" Neptune ", "ARX", "Asbury Park ", "United States ", "US"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"], ["Akron/Canton OH ", "CAK", "Akron/canton Regional ", "United States ", "US"], ["Amityville ", "AYZ", "Zahns ", "United States ", "US"], ["Anguilla ", "RFK", "Rollang Field ", "United States ", "US"], ["Albany ", "ALB", "Albany International ", "United States ", "US"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"], [" Aliceville AL ", "AIV", "George Downer ", "United States ", "US"], [" Ann Arbor MI ", "ARB", "Municipal ", "United States ", "US"], ["Alamogordo ", "ALM", "Municipal ", "United States ", "US"], ["Albuquerque ", "ABQ", "Albuquerque International ", "United States ", "US"], ["Anaheim ", "ANA", "Orange County Steel Salvage Heliport ", "United States ", "US"], ["Annapolis ", "ANP", "Lee ", "United States ", "US"], ["Altus ", "AXS", "Municipal ", "United States ", "US"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"], ["Ashland ", "ASX", "Ashland ", "United States ", "US"], ["Artesia ", "ATS", "Artesia ", "United States ", "US"], ["Aleneva ", "AED", "Aleneva ", "United States ", "US"], ["Athens ", "AHN", "Athens ", "United States ", "US"], ["Alyeska ", "AQY", "Alyeska ", "United States ", "US"], ["Alamosa ", "ALS", "Municipal ", "United States ", "US"], ["Albert Lea ", "AEL", "Albert Lea ", "United States ", "US"], ["Ardmore ", "ADM", "Ardmore Municipal Arpt ", "United States ", "US"], ["Afton ", "AFO", "Municipal ", "United States ", "US"], ["Anita Bay ", "AIB", "Anita Bay ", "United States ", "US"], ["Athens ", "MMI", "McMinn County ", "United States ", "US"], ["Aspen ", "ASE", "Aspen ", "United States ", "US"], ["Abilene ", "ABI", "Municipal ", "United States ", "US"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"], ["Athens ", "ATO", "Ohio University ", "United States ", "US"], ["Apple Valley ", "APV", "Apple Valley ", "United States ", "US"], ["Alitak ", "ALZ", "Alitak SPB ", "United States ", "US"], ["Angola ", "ANQ", "Tri-State Steuben Cty ", "United States ", "US"], ["Amarillo ", "TDW", "Tradewind ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anniston ", "RLI", "Reilly AHP ", "United States ", "US"], ["Adrian ", "ADG", "Lenawee County ", "United States ", "US"], ["Alexandria ", "AXN", "Alexandria ", "United States ", "US"], ["Angoon ", "AGN", "Angoon ", "United States ", "US"], ["Albany ", "CVO", "Albany ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "134", " NDV", " ADG"], ["11", "135", " ADG", " NDV"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Apalachicola ", "AAF", "Municipal ", "United States ", "US"], ["Aleknagik ", "WKK", "Aleknagik ", "United States ", "US"], ["Albany ", "NAB", "Albany NAS ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "747", " ESF", " WKK"], ["6", "670", " AYZ", " HMN"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akutan ", "KQA", "Akutan ", "United States ", "US"], ["Anvik ", "ANV", "Anvik ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "1079", " ADG", " ALZ"], ["7", "737", " ABY", " ARX"], ["9", "1007", " ANV", " AET"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aiken ", "AIK", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "737", " AMN", " QAW"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alice ", "ALI", "International ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "193", " NDV", " AKK"], ["6", "370", " WKK", " ADT"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Arctic Village ", "ARC", "Arctic Village ", "United States ", "US"], ["Ainsworth ", "ANW", "Ainsworth ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["6", "162", " NDV", " AOS"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anderson ", "AID", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "949", " OTS", " AKK"], ["9", "1006", " AET", " ANV"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Allakaket ", "AET", "Allakaket ", "United States ", "US"]]	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 city has most number of departing flights?	[]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"], ["Alameda ", "NGZ", "NAS ", "United States ", "US"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Anniston ", "QAW", "Ft Mcclellan Bus Trml ", "United States ", "US"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"], [" Alexandria LA ", "AEX", "Alexandria International ", "United States ", "US"], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"], ["Altus ", "AXS", "Municipal ", "United States ", "US"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"], ["Anguilla ", "RFK", "Rollang Field ", "United States ", "US"], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"], ["Apalachicola ", "AAF", "Municipal ", "United States ", "US"], [" Neptune ", "ARX", "Asbury Park ", "United States ", "US"], [" Ann Arbor MI ", "ARB", "Municipal ", "United States ", "US"], ["Abilene ", "ABI", "Municipal ", "United States ", "US"], [" Aliceville AL ", "AIV", "George Downer ", "United States ", "US"], ["Afton ", "AFO", "Municipal ", "United States ", "US"], ["Anacostia ", "NDV", "USN Heliport ", "United States ", "US"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"], ["Albuquerque ", "ABQ", "Albuquerque International ", "United States ", "US"], ["Akron/Canton OH ", "CAK", "Akron/canton Regional ", "United States ", "US"], ["Amityville ", "AYZ", "Zahns ", "United States ", "US"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"], ["Alamogordo ", "ALM", "Municipal ", "United States ", "US"], ["Anniston ", "RLI", "Reilly AHP ", "United States ", "US"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"], ["Aleneva ", "AED", "Aleneva ", "United States ", "US"], ["Artesia ", "ATS", "Artesia ", "United States ", "US"], ["Alitak ", "ALZ", "Alitak SPB ", "United States ", "US"], ["Astoria ", "AST", "Astoria ", "United States ", "US"], ["Ashland ", "ASX", "Ashland ", "United States ", "US"], ["Anaheim ", "ANA", "Orange County Steel Salvage Heliport ", "United States ", "US"], ["Athens ", "MMI", "McMinn County ", "United States ", "US"], ["Alyeska ", "AQY", "Alyeska ", "United States ", "US"], ["Amarillo ", "TDW", "Tradewind ", "United States ", "US"], ["Alakanuk ", "AUK", "Alakanuk ", "United States ", "US"], ["Albany ", "ALB", "Albany International ", "United States ", "US"], ["Ardmore ", "ADM", "Ardmore Municipal Arpt ", "United States ", "US"], ["Akiachak ", "KKI", "Spb ", "United States ", "US"], ["Aleknagik ", "WKK", "Aleknagik ", "United States ", "US"], ["Anita Bay ", "AIB", "Anita Bay ", "United States ", "US"], ["Adrian ", "ADG", "Lenawee County ", "United States ", "US"], ["Angola ", "ANQ", "Tri-State Steuben Cty ", "United States ", "US"], ["Alamosa ", "ALS", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1349", " AHF", " ANI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Angoon ", "AGN", "Angoon ", "United States ", "US"], ["Amery ", "AHH", "Municipal ", "United States ", "US"], ["Alpena ", "APN", "Alpena County Regional ", "United States ", "US"], ["Annapolis ", "ANP", "Lee ", "United States ", "US"], ["Allakaket ", "AET", "Allakaket ", "United States ", "US"], ["Akutan ", "KQA", "Akutan ", "United States ", "US"], ["Albert Lea ", "AEL", "Albert Lea ", "United States ", "US"], ["Anaktuvuk ", "AKP", "Anaktuvuk ", "United States ", "US"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"], ["Anderson ", "AID", "Municipal ", "United States ", "US"], ["Alice ", "ALI", "International ", "United States ", "US"], ["Athens ", "AHN", "Athens ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "957", " ABL", " AKO"], ["11", "1178", " KQA", " AFO"], ["7", "854", " KQA", " APN"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aiken ", "AIK", "Municipal ", "United States ", "US"], ["Alma ", "AMN", "Gratiot Community ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "1179", " AFO", " KQA"], ["8", "1348", " ANI", " AHF"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Apple Valley ", "APV", "Apple Valley ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1377", " ASE", " WKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akiak ", "AKI", "Akiak ", "United States ", "US"], ["Anvik ", "ANV", "Anvik ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "748", " ATS", " RLI"], ["7", "855", " APN", " KQA"], ["9", "158", " AKO", " AQY"], ["10", "1117", " AFO", " ANI"], ["3", "439", " AUK", " AFO"], ["8", "1232", " NDV", " AKI"], ["9", "747", " ESF", " WKK"], ["5", "902", " AFO", " WKK"], ["7", "981", " AIA", " AUK"], ["9", "892", " WKK", " ANV"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ames ", "AMW", "Ames ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "1062", " AQY", " AFO"]]	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 city is the most frequent source airport?	[]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "854", " KQA", " APN"], ["7", "855", " APN", " KQA"], ["9", "747", " ESF", " WKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "748", " ATS", " RLI"], ["2", "747", " AST", " ANC"], ["7", "737", " ABY", " ARX"], ["9", "749", " RLI", " ATS"], ["7", "721", " KQA", " AED"], ["11", "877", " AXX", " KQA"], ["8", "1349", " AHF", " ANI"], ["9", "647", " AHF", " ARX"], ["1", "143", " AKC", " ALI"], ["8", "372", " AHF", " AKC"], ["10", "737", " AMN", " QAW"], ["7", "454", " KQA", " ADK"], ["9", "646", " ARX", " AHF"], ["7", "455", " ADK", " KQA"], ["8", "373", " AKC", " AHF"], ["11", "909", " ATO", " ANQ"], ["11", "876", " KQA", " AXX"], ["4", "379", " ANQ", " WKK"], ["11", "437", " AND", " ABQ"], ["7", "949", " OTS", " AKK"], ["9", "1044", " AQY", " NGZ"], ["9", "159", " AQY", " AKO"], ["9", "894", " AAF", " AHT"], ["9", "895", " AHT", " AAF"], ["7", "45", " ABR", " AKI"], ["9", "158", " AKO", " AQY"], ["1", "142", " ALI", " AKC"], ["12", "779", " AQY", " ABY"], ["9", "1045", " NGZ", " AQY"], ["7", "720", " AED", " KQA"], ["9", "828", " ADG", " HMN"], ["9", "829", " HMN", " ADG"], ["8", "1419", " ATS", " AEL"], ["11", "774", " ALN", " AKP"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1348", " ANI", " AHF"], ["9", "469", " AHD", " HMN"], ["11", "436", " ABQ", " AND"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "1023", " AHN", " AKI"], ["11", "908", " ANQ", " ATO"], ["9", "617", " AND", " HMN"], ["4", "378", " WKK", " ANQ"], ["3", "827", " AEL", " ABQ"], ["11", "1179", " AFO", " KQA"], ["10", "601", " AKI", " ABQ"], ["9", "468", " HMN", " AHD"], ["9", "225", " AHF", " ASY"], ["3", "529", " AKK", " ARB"], ["12", "1022", " AKI", " AHN"], ["9", "1188", " AHF", " OTS"], ["1", "370", " AKC", " WKK"], ["10", "600", " ABQ", " AKI"], ["9", "1189", " OTS", " AHF"], ["10", "55", " AHF", " KQA"], ["11", "591", " AAF", " ANY"], ["9", "230", " ANY", " ABQ"], ["9", "634", " AKI", " ATW"], ["11", "504", " AAF", " AKO"], ["11", "471", " AHT", " CAK"], ["7", "337", " AUK", " AXG"], ["9", "224", " ASY", " AHF"], ["11", "285", " WKK", " ABQ"], ["7", "1081", " AGN", " AHF"], ["6", "709", " ALI", " ANB"], ["12", "957", " ABL", " AKO"], ["7", "44", " AKI", " ABR"], ["7", "1127", " ESF", " AKI"], ["11", "704", " ADR", " AKI"], ["11", "775", " AKP", " ALN"], ["12", "947", " AKK", " AXG"], ["8", "420", " AKP", " ADT"], ["7", "792", " AIA", " NGZ"], ["3", "589", " WKK", " AKO"], ["7", "793", " NGZ", " AIA"], ["7", "948", " AKK", " OTS"], ["9", "1114", " LTS", " ABI"], ["8", "957", " AQY", " ADK"], ["9", "892", " WKK", " ANV"], ["10", "409", " AUK", " ANQ"], ["8", "1418", " AEL", " ATS"], ["12", "1127", " ABY", " RLI"], ["9", "635", " ATW", " AKI"], ["10", "1129", " AMN", " ABI"], ["11", "571", " RLI", " ANA"], ["11", "1137", " AHF", " AEX"], ["9", "385", " ANQ", " ANV"], ["8", "640", " ABQ", " AOS"], ["10", "54", " KQA", " AHF"], ["6", "211", " AQY", " AXG"], ["9", "231", " ABQ", " ANY"], ["11", "1079", " ADG", " ALZ"], ["1", "829", " EDF", " HMN"], ["6", "179", " ALI", " ABQ"], ["10", "1137", " ABI", " ABL"], ["9", "942", " ABI", " MMI"], ["7", "336", " AXG", " AUK"], ["10", "700", " ANC", " AKI"], ["1", "1167", " AAF", " ABQ"], ["4", "167", " AKI", " AAF"], ["3", "826", " ABQ", " AEL"], ["11", "470", " CAK", " AHT"], ["6", "71", " AAF", " AKC"], ["11", "284", " ABQ", " WKK"], ["11", "505", " AKO", " AAF"], ["7", "736", " ARX", " ABY"], ["4", "479", " AXX", " AAF"], ["9", "1007", " ANV", " AET"], ["9", "384", " ANV", " ANQ"], ["12", "778", " ABY", " AQY"], ["11", "1178", " KQA", " AFO"], ["4", "547", " AKC", " ANY"], ["10", "701", " AKI", " ANC"], ["11", "570", " ANA", " RLI"], ["7", "77", " ABL", " ARB"], ["1", "371", " WKK", " AKC"], ["6", "210", " AXG", " AQY"], ["11", "705", " AKI", " ADR"], ["7", "542", " WKK", " ANC"], ["11", "590", " ANY", " AAF"], ["7", "317", " AKI", " AST"], ["9", "882", " ADT", " ALZ"], ["9", "968", " CAK", " ALN"], ["10", "934", " ABI", " AKP"], ["7", "663", " AKO", " ATS"]]	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 code of airport that has the highest number of flights?	[]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "854", " KQA", " APN"], ["11", "909", " ATO", " ANQ"], ["10", "409", " AUK", " ANQ"], ["11", "285", " WKK", " ABQ"], ["11", "908", " ANQ", " ATO"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "957", " ABL", " AKO"], ["8", "957", " AQY", " ADK"], ["7", "855", " APN", " KQA"], ["11", "1179", " AFO", " KQA"], ["10", "408", " ANQ", " AUK"], ["1", "143", " AKC", " ALI"], ["10", "737", " AMN", " QAW"], ["4", "378", " WKK", " ANQ"], ["11", "1178", " KQA", " AFO"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["6", "709", " ALI", " ANB"], ["8", "956", " ADK", " AQY"], ["4", "379", " ANQ", " WKK"], ["6", "179", " ALI", " ABQ"], ["9", "748", " ATS", " RLI"], ["10", "601", " AKI", " ABQ"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alameda ", "NGZ", "NAS ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "737", " ABY", " ARX"], ["11", "877", " AXX", " KQA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["6", "708", " ANB", " ALI"], ["2", "747", " AST", " ANC"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "454", " KQA", " ADK"], ["11", "284", " ABQ", " WKK"], ["7", "455", " ADK", " KQA"], ["9", "158", " AKO", " AQY"], ["9", "159", " AQY", " AKO"], ["12", "956", " AKO", " ABL"], ["9", "230", " ANY", " ABQ"], ["9", "749", " RLI", " ATS"], ["12", "779", " AQY", " ABY"], ["9", "747", " ESF", " WKK"], ["4", "902", " NGZ", " ANQ"], ["11", "876", " KQA", " AXX"], ["8", "89", " AMW", " KQA"], ["11", "1012", " ABI", " ALZ"], ["8", "513", " ADK", " ABQ"], ["9", "892", " WKK", " ANV"], ["9", "1045", " NGZ", " AQY"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alitak ", "ALZ", "Alitak SPB ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "827", " AEL", " ABQ"], ["12", "947", " AKK", " AXG"], ["12", "1127", " ABY", " RLI"], ["7", "949", " OTS", " AKK"], ["10", "600", " ABQ", " AKI"], ["9", "1044", " AQY", " NGZ"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "778", " ABY", " AQY"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alyeska ", "AQY", "Alyeska ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1418", " AEL", " ATS"], ["1", "142", " ALI", " AKC"], ["8", "640", " ABQ", " AOS"], ["5", "902", " AFO", " WKK"], ["7", "948", " AKK", " OTS"], ["9", "1007", " ANV", " AET"], ["8", "512", " ABQ", " ADK"], ["11", "437", " AND", " ABQ"], ["8", "1419", " ATS", " AEL"], ["10", "700", " ANC", " AKI"], ["3", "589", " WKK", " AKO"], ["10", "701", " AKI", " ANC"], ["5", "1277", " KQA", " AMN"], ["10", "55", " AHF", " KQA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1349", " AHF", " ANI"], ["8", "542", " ABQ", " NGZ"], ["7", "542", " WKK", " ANC"], ["8", "1348", " ANI", " AHF"], ["12", "1022", " AKI", " AHN"], ["12", "1023", " AHN", " AKI"], ["7", "721", " KQA", " AED"], ["11", "704", " ADR", " AKI"], ["3", "588", " AKO", " WKK"], ["12", "1005", " LTS", " CAK"], ["3", "439", " AUK", " AFO"], ["8", "1377", " ASE", " WKK"], ["11", "1013", " ALZ", " ABI"], ["4", "903", " ANQ", " NGZ"], ["10", "54", " KQA", " AHF"], ["6", "211", " AQY", " AXG"], ["11", "1079", " ADG", " ALZ"], ["1", "1167", " AAF", " ABQ"], ["3", "438", " AFO", " AUK"], ["10", "1137", " ABI", " ABL"], ["3", "962", " NGZ", " ALI"], ["8", "543", " NGZ", " ABQ"], ["9", "384", " ANV", " ANQ"], ["7", "337", " AUK", " AXG"], ["6", "178", " ABQ", " ALI"], ["7", "45", " ABR", " AKI"], ["5", "1276", " AMN", " KQA"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Astoria ", "AST", "Astoria ", "United States ", "US"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"]]	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 airport code of the airport with the most flights?	[]	2,048	Answer:
Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "143", " AKC", " ALI"], ["2", "747", " AST", " ANC"], ["7", "737", " ABY", " ARX"], ["10", "737", " AMN", " QAW"], ["1", "142", " ALI", " AKC"], ["1", "1167", " AAF", " ABQ"], ["9", "748", " ATS", " RLI"], ["12", "957", " ABL", " AKO"], ["12", "1057", " ADR", " ALN"], ["4", "379", " ANQ", " WKK"], ["9", "749", " RLI", " ATS"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "1179", " AFO", " KQA"], ["1", "199", " AAF", " NGZ"], ["4", "378", " WKK", " ANQ"], ["11", "909", " ATO", " ANQ"], ["7", "721", " KQA", " AED"], ["11", "704", " ADR", " AKI"], ["10", "1117", " AFO", " ANI"], ["6", "709", " ALI", " ANB"], ["10", "601", " AKI", " ABQ"], ["7", "454", " KQA", " ADK"], ["11", "908", " ANQ", " ATO"], ["10", "701", " AKI", " ANC"], ["7", "455", " ADK", " KQA"], ["1", "371", " WKK", " AKC"], ["11", "1178", " KQA", " AFO"], ["10", "1137", " ABI", " ABL"], ["7", "45", " ABR", " AKI"], ["12", "767", " AND", " RLI"], ["1", "370", " AKC", " WKK"], ["11", "504", " AAF", " AKO"], ["11", "877", " AXX", " KQA"], ["9", "747", " ESF", " WKK"], ["10", "409", " AUK", " ANQ"], ["12", "956", " AKO", " ABL"], ["11", "705", " AKI", " ADR"], ["2", "1077", " ABQ", " AXG"], ["9", "1114", " LTS", " ABI"], ["8", "1419", " ATS", " AEL"], ["6", "708", " ANB", " ALI"], ["7", "854", " KQA", " APN"], ["1", "1166", " ABQ", " AAF"], ["12", "947", " AKK", " AXG"], ["10", "1390", " ADG", " ABL"], ["8", "1418", " AEL", " ATS"], ["7", "949", " OTS", " AKK"], ["1", "627", " AEL", " AKI"], ["2", "467", " AGN", " ARB"], ["7", "44", " AKI", " ABR"], ["11", "285", " WKK", " ABQ"], ["7", "671", " ADR", " ANA"], ["8", "957", " AQY", " ADK"], ["7", "542", " WKK", " ANC"], ["10", "1391", " ABL", " ADG"], ["12", "1127", " ABY", " RLI"], ["1", "90", " ATO", " ABR"], ["12", "1056", " ALN", " ADR"], ["7", "855", " APN", " KQA"], ["10", "600", " ABQ", " AKI"], ["11", "876", " KQA", " AXX"], ["7", "662", " ATS", " AKO"], ["7", "670", " ANA", " ADR"], ["9", "1007", " ANV", " AET"], ["7", "948", " AKK", " OTS"], ["12", "1377", " LTS", " ALE"], ["10", "408", " ANQ", " AUK"], ["10", "700", " ANC", " AKI"], ["11", "513", " ABR", " ASY"], ["7", "792", " AIA", " NGZ"], ["9", "1115", " ABI", " LTS"], ["7", "663", " AKO", " ATS"], ["1", "709", " AFO", " AXB"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "746", " ANC", " AST"], ["7", "336", " AXG", " AUK"], ["12", "326", " ATO", " AOS"], ["1", "1329", " LTS", " RLI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "372", " AHF", " AKC"], ["7", "317", " AKI", " AST"], ["7", "1127", " ESF", " AKI"], ["11", "571", " RLI", " ANA"], ["7", "720", " AED", " KQA"], ["3", "335", " ATW", " ALI"], ["7", "114", " ARB", " ADK"], ["1", "91", " ABR", " ATO"], ["7", "337", " AUK", " AXG"], ["10", "54", " KQA", " AHF"], ["6", "71", " AAF", " AKC"], ["6", "371", " ADT", " WKK"], ["4", "902", " NGZ", " ANQ"], ["6", "179", " ALI", " ABQ"], ["10", "1116", " ANI", " AFO"], ["10", "1136", " ABL", " ABI"], ["11", "834", " ATS", " AXN"], ["1", "471", " MMI", " ABQ"], ["11", "1012", " ABI", " ALZ"], ["12", "121", " ADK", " ASY"], ["1", "997", " AXS", " AXG"], ["7", "251", " ATS", " AXS"], ["12", "766", " RLI", " AND"], ["6", "70", " AKC", " AAF"], ["2", "670", " KKI", " ATS"], ["2", "466", " ARB", " AGN"], ["7", "543", " ANC", " WKK"], ["7", "754", " ABR", " MMI"], ["12", "779", " AQY", " ABY"], ["5", "1277", " KQA", " AMN"], ["2", "1076", " AXG", " ABQ"], ["2", "384", " AOS", " AGN"], ["1", "1328", " RLI", " LTS"], ["3", "334", " ALI", " ATW"], ["6", "370", " WKK", " ADT"], ["7", "793", " NGZ", " AIA"], ["11", "835", " AXN", " ATS"], ["3", "827", " AEL", " ABQ"], ["1", "561", " ATO", " AHF"], ["8", "640", " ABQ", " AOS"], ["6", "178", " ABQ", " ALI"], ["11", "505", " AKO", " AAF"], ["9", "942", " ABI", " MMI"], ["1", "626", " AKI", " AEL"], ["11", "379", " ASY", " RFK"], ["7", "981", " AIA", " AUK"], ["7", "316", " AST", " AKI"], ["8", "956", " ADK", " AQY"], ["11", "591", " AAF", " ANY"], ["10", "647", " ASE", " ARB"], ["10", "55", " AHF", " KQA"], ["2", "143", " ADM", " ABQ"], ["10", "1129", " AMN", " ABI"], ["7", "250", " AXS", " ATS"]]	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 code of airport that has fewest number of flights?	[]	2,048	Answer:
Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "143", " AKC", " ALI"], ["1", "1167", " AAF", " ABQ"], ["1", "142", " ALI", " AKC"], ["9", "230", " ANY", " ABQ"], ["7", "721", " KQA", " AED"], ["11", "1179", " AFO", " KQA"], ["12", "957", " ABL", " AKO"], ["1", "199", " AAF", " NGZ"], ["2", "747", " AST", " ANC"], ["1", "90", " ATO", " ABR"], ["4", "378", " WKK", " ANQ"], ["11", "1178", " KQA", " AFO"], ["11", "285", " WKK", " ABQ"], ["4", "379", " ANQ", " WKK"], ["2", "692", " CAK", " ATS"], ["7", "722", " AST", " CAK"], ["11", "909", " ATO", " ANQ"], ["1", "1166", " ABQ", " AAF"], ["4", "902", " NGZ", " ANQ"], ["9", "748", " ATS", " RLI"], ["2", "1077", " ABQ", " AXG"], ["11", "908", " ANQ", " ATO"], ["1", "370", " AKC", " WKK"], ["1", "371", " WKK", " AKC"], ["3", "335", " ATW", " ALI"], ["12", "326", " ATO", " AOS"], ["10", "601", " AKI", " ABQ"], ["9", "384", " ANV", " ANQ"], ["3", "827", " AEL", " ABQ"], ["2", "693", " ATS", " CAK"], ["10", "409", " AUK", " ANQ"], ["6", "179", " ALI", " ABQ"], ["9", "749", " RLI", " ATS"], ["1", "91", " ABR", " ATO"], ["7", "737", " ABY", " ARX"], ["12", "956", " AKO", " ABL"], ["3", "627", " ANV", " KQA"], ["7", "454", " KQA", " ADK"], ["9", "231", " ABQ", " ANY"], ["8", "1418", " AEL", " ATS"], ["4", "547", " AKC", " ANY"], ["7", "723", " CAK", " AST"], ["1", "198", " NGZ", " AAF"], ["10", "408", " ANQ", " AUK"], ["12", "947", " AKK", " AXG"], ["12", "651", " AXN", " CAK"], ["1", "148", " HMN", " ABL"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1419", " ATS", " AEL"], ["10", "737", " AMN", " QAW"], ["4", "169", " ANY", " ALI"], ["7", "720", " AED", " KQA"], ["12", "1022", " AKI", " AHN"], ["3", "626", " KQA", " ANV"], ["11", "877", " AXX", " KQA"], ["1", "149", " ABL", " HMN"], ["8", "542", " ABQ", " NGZ"], ["7", "45", " ABR", " AKI"], ["4", "903", " ANQ", " NGZ"], ["2", "1076", " AXG", " ABQ"], ["7", "455", " ADK", " KQA"], ["3", "962", " NGZ", " ALI"], ["8", "737", " ABQ", " ACV"], ["1", "709", " AFO", " AXB"], ["10", "54", " KQA", " AHF"], ["6", "178", " ABQ", " ALI"], ["4", "1139", " AET", " ABR"], ["9", "159", " AQY", " AKO"], ["3", "334", " ALI", " ATW"], ["4", "1138", " ABR", " AET"], ["10", "55", " AHF", " KQA"], ["8", "957", " AQY", " ADK"], ["12", "1057", " ADR", " ALN"], ["1", "1062", " AQY", " AFO"], ["9", "385", " ANQ", " ANV"], ["8", "513", " ADK", " ABQ"], ["8", "372", " AHF", " AKC"], ["11", "284", " ABQ", " WKK"], ["6", "709", " ALI", " ANB"], ["4", "168", " ALI", " ANY"], ["6", "708", " ANB", " ALI"], ["7", "542", " WKK", " ANC"], ["11", "842", " ABR", " AXN"], ["2", "143", " ADM", " ABQ"], ["7", "854", " KQA", " APN"], ["1", "997", " AXS", " AXG"], ["9", "892", " WKK", " ANV"], ["4", "546", " ANY", " AKC"], ["11", "876", " KQA", " AXX"], ["8", "640", " ABQ", " AOS"], ["2", "467", " AGN", " ARB"], ["2", "484", " ARX", " AQY"], ["11", "591", " AAF", " ANY"], ["10", "1137", " ABI", " ABL"], ["8", "543", " NGZ", " ABQ"], ["12", "1377", " LTS", " ALE"], ["1", "309", " AKC", " ATE"], ["7", "662", " ATS", " AKO"], ["1", "561", " ATO", " AHF"], ["3", "922", " ASY", " AAF"], ["2", "902", " AKO", " OTS"], ["3", "826", " ABQ", " AEL"], ["3", "397", " ASX", " AED"], ["1", "627", " AEL", " AKI"], ["1", "708", " AXB", " AFO"], ["7", "371", " ATW", " QAW"], ["2", "384", " AOS", " AGN"], ["3", "241", " MMI", " AKC"], ["11", "704", " ADR", " AKI"], ["12", "1334", " ADT", " AKK"], ["12", "1004", " CAK", " LTS"], ["12", "1127", " ABY", " RLI"], ["1", "471", " MMI", " ABQ"], ["8", "641", " AOS", " ABQ"], ["12", "1023", " AHN", " AKI"], ["7", "948", " AKK", " OTS"], ["1", "414", " AAF", " ALB"], ["9", "692", " AIK", " CVO"], ["12", "327", " AOS", " ATO"], ["12", "767", " AND", " RLI"], ["12", "890", " ATO", " ALS"], ["7", "949", " OTS", " AKK"], ["7", "754", " ABR", " MMI"], ["12", "121", " ADK", " ASY"], ["1", "1328", " RLI", " LTS"], ["2", "746", " ANC", " AST"], ["7", "115", " ADK", " ARB"], ["5", "902", " AFO", " WKK"], ["1", "1329", " LTS", " RLI"], ["7", "44", " AKI", " ABR"], ["9", "158", " AKO", " AQY"], ["12", "779", " AQY", " ABY"], ["9", "894", " AAF", " AHT"], ["10", "651", " AEX", " ANQ"], ["9", "747", " ESF", " WKK"], ["1", "744", " AED", " OTS"], ["9", "1007", " ANV", " AET"], ["2", "672", " ANV", " ABL"], ["2", "485", " AQY", " ARX"], ["8", "512", " ABQ", " ADK"], ["12", "891", " ALS", " ATO"], ["12", "650", " CAK", " AXN"]]	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 code of the airport with the least flights.	[]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["3", "Delta Airlines", "Delta", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["1", "United Airlines", "UAL", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["10", "737", " AMN", " QAW"], ["8", "1349", " AHF", " ANI"], ["6", "709", " ALI", " ANB"], ["7", "737", " ABY", " ARX"], ["8", "1419", " ATS", " AEL"], ["11", "1079", " ADG", " ALZ"], ["9", "747", " ESF", " WKK"], ["9", "158", " AKO", " AQY"], ["9", "159", " AQY", " AKO"], ["8", "737", " ABQ", " ACV"], ["2", "1375", " AMW", " ALI"], ["6", "179", " ALI", " ABQ"], ["11", "909", " ATO", " ANQ"], ["6", "178", " ABQ", " ALI"], ["1", "143", " AKC", " ALI"], ["3", "27", " ATW", " VJI"], ["6", "708", " ANB", " ALI"], ["7", "663", " AKO", " ATS"], ["3", "334", " ALI", " ATW"], ["8", "1348", " ANI", " AHF"], ["7", "793", " NGZ", " AIA"], ["7", "792", " AIA", " NGZ"], ["7", "721", " KQA", " AED"], ["8", "1418", " AEL", " ATS"], ["9", "1007", " ANV", " AET"], ["11", "1012", " ABI", " ALZ"], ["2", "1377", " APG", " ALI"], ["9", "749", " RLI", " ATS"], ["11", "908", " ANQ", " ATO"], ["9", "748", " ATS", " RLI"], ["11", "505", " AKO", " AAF"], ["9", "629", " ADT", " ANI"], ["3", "26", " VJI", " ATW"], ["3", "335", " ATW", " ALI"], ["6", "210", " AXG", " AQY"], ["7", "615", " AMW", " AIA"], ["9", "1006", " AET", " ANV"], ["7", "981", " AIA", " AUK"], ["2", "1374", " ALI", " AMW"], ["9", "62", " AYZ", " ANI"], ["7", "662", " ATS", " AKO"], ["11", "1179", " AFO", " KQA"], ["7", "949", " OTS", " AKK"], ["7", "670", " ANA", " ADR"], ["11", "571", " RLI", " ANA"], ["8", "640", " ABQ", " AOS"], ["8", "89", " AMW", " KQA"], ["11", "1013", " ALZ", " ABI"], ["8", "957", " AQY", " ADK"], ["6", "671", " HMN", " AYZ"], ["3", "962", " NGZ", " ALI"], ["3", "439", " AUK", " AFO"], ["4", "167", " AKI", " AAF"], ["6", "211", " AQY", " AXG"], ["7", "316", " AST", " AKI"], ["1", "142", " ALI", " AKC"], ["7", "614", " AIA", " AMW"], ["11", "504", " AAF", " AKO"], ["9", "628", " ANI", " ADT"], ["2", "1376", " ALI", " APG"], ["12", "957", " ABL", " AKO"], ["9", "1114", " LTS", " ABI"], ["10", "1117", " AFO", " ANI"], ["4", "166", " AAF", " AKI"], ["12", "326", " ATO", " AOS"], ["7", "317", " AKI", " AST"], ["2", "1077", " ABQ", " AXG"], ["8", "956", " ADK", " AQY"], ["7", "854", " KQA", " APN"], ["7", "118", " AKK", " ANW"], ["3", "1187", " AET", " ANB"], ["11", "1078", " ALZ", " ADG"], ["7", "250", " AXS", " ATS"], ["6", "670", " AYZ", " HMN"], ["1", "626", " AKI", " AEL"], ["3", "626", " KQA", " ANV"], ["7", "671", " ADR", " ANA"], ["10", "600", " ABQ", " AKI"], ["9", "63", " ANI", " AYZ"], ["12", "327", " AOS", " ATO"], ["5", "1089", " AKO", " ANV"], ["1", "1167", " AAF", " ABQ"], ["11", "1178", " KQA", " AFO"], ["1", "627", " AEL", " AKI"], ["12", "956", " AKO", " ABL"], ["12", "1107", " AIB", " RLI"], ["3", "963", " ALI", " NGZ"], ["12", "265", " AKI", " AMW"], ["7", "1031", " AXS", " AED"], ["2", "903", " OTS", " AKO"], ["7", "980", " AUK", " AIA"], ["9", "121", " AMA", " ABI"], ["7", "121", " ALX", " AKI"], ["8", "373", " AKC", " AHF"], ["4", "1162", " ANW", " AKO"], ["12", "1023", " AHN", " AKI"], ["7", "855", " APN", " KQA"], ["1", "1166", " ABQ", " AAF"], ["11", "704", " ADR", " AKI"], ["9", "882", " ADT", " ALZ"], ["9", "829", " HMN", " ADG"], ["11", "825", " ANW", " ABI"], ["12", "1022", " AKI", " AHN"], ["7", "45", " ABR", " AKI"], ["1", "1063", " AFO", " AQY"], ["1", "1062", " AQY", " AFO"], ["2", "427", " AMN", " AFO"], ["9", "634", " AKI", " ATW"], ["11", "824", " ABI", " ANW"], ["9", "942", " ABI", " MMI"], ["12", "1106", " RLI", " AIB"], ["7", "1081", " AGN", " AHF"], ["3", "529", " AKK", " ARB"], ["10", "265", " ABI", " AIA"], ["8", "372", " AHF", " AKC"], ["11", "436", " ABQ", " AND"], ["4", "1163", " AKO", " ANW"], ["7", "454", " KQA", " ADK"], ["8", "1086", " EDF", " AFO"], ["7", "370", " QAW", " ATW"], ["12", "891", " ALS", " ATO"], ["11", "640", " AND", " AIA"], ["2", "1076", " AXG", " ABQ"], ["7", "119", " ANW", " AKK"], ["11", "570", " ANA", " RLI"], ["3", "1186", " ANB", " AET"], ["9", "1044", " AQY", " NGZ"], ["7", "571", " ADG", " OTS"], ["12", "779", " AQY", " ABY"], ["7", "948", " AKK", " OTS"]]	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 airline has most number of flights?	[["Virgin America"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["3", "Delta Airlines", "Delta", "USA"], ["1", "United Airlines", "UAL", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["9", "747", " ESF", " WKK"], ["10", "737", " AMN", " QAW"], ["7", "737", " ABY", " ARX"], ["8", "1349", " AHF", " ANI"], ["3", "27", " ATW", " VJI"], ["9", "158", " AKO", " AQY"], ["9", "159", " AQY", " AKO"], ["2", "1375", " AMW", " ALI"], ["3", "26", " VJI", " ATW"], ["2", "1377", " APG", " ALI"], ["6", "709", " ALI", " ANB"], ["11", "1079", " ADG", " ALZ"], ["11", "909", " ATO", " ANQ"], ["7", "854", " KQA", " APN"], ["7", "663", " AKO", " ATS"], ["8", "737", " ABQ", " ACV"], ["8", "1348", " ANI", " AHF"], ["6", "210", " AXG", " AQY"], ["8", "957", " AQY", " ADK"], ["9", "749", " RLI", " ATS"], ["9", "748", " ATS", " RLI"], ["8", "1419", " ATS", " AEL"], ["7", "721", " KQA", " AED"], ["11", "908", " ANQ", " ATO"], ["11", "1179", " AFO", " KQA"], ["11", "505", " AKO", " AAF"], ["7", "855", " APN", " KQA"], ["7", "662", " ATS", " AKO"], ["1", "1063", " AFO", " AQY"], ["6", "179", " ALI", " ABQ"], ["11", "504", " AAF", " AKO"], ["9", "1007", " ANV", " AET"], ["6", "708", " ANB", " ALI"], ["7", "1127", " ESF", " AKI"], ["8", "1418", " AEL", " ATS"], ["6", "211", " AQY", " AXG"], ["12", "327", " AOS", " ATO"], ["11", "1178", " KQA", " AFO"], ["7", "1031", " AXS", " AED"], ["2", "1374", " ALI", " AMW"], ["8", "956", " ADK", " AQY"], ["1", "143", " AKC", " ALI"], ["7", "793", " NGZ", " AIA"], ["3", "335", " ATW", " ALI"], ["12", "957", " ABL", " AKO"], ["3", "334", " ALI", " ATW"], ["1", "1329", " LTS", " RLI"], ["9", "62", " AYZ", " ANI"], ["4", "166", " AAF", " AKI"], ["11", "1012", " ABI", " ALZ"], ["9", "1114", " LTS", " ABI"], ["1", "142", " ALI", " AKC"], ["7", "949", " OTS", " AKK"], ["3", "439", " AUK", " AFO"], ["7", "670", " ANA", " ADR"], ["9", "1045", " NGZ", " AQY"], ["7", "981", " AIA", " AUK"], ["1", "1062", " AQY", " AFO"], ["11", "704", " ADR", " AKI"], ["2", "1376", " ALI", " APG"], ["11", "877", " AXX", " KQA"], ["7", "317", " AKI", " AST"], ["1", "560", " AHF", " ATO"], ["7", "250", " AXS", " ATS"], ["7", "792", " AIA", " NGZ"], ["11", "705", " AKI", " ADR"], ["2", "903", " OTS", " AKO"], ["7", "45", " ABR", " AKI"], ["12", "326", " ATO", " AOS"], ["9", "629", " ADT", " ANI"], ["2", "1077", " ABQ", " AXG"], ["6", "178", " ABQ", " ALI"], ["9", "1044", " AQY", " NGZ"], ["11", "1078", " ALZ", " ADG"], ["7", "980", " AUK", " AIA"], ["12", "779", " AQY", " ABY"], ["11", "825", " ANW", " ABI"], ["8", "89", " AMW", " KQA"], ["1", "1167", " AAF", " ABQ"], ["7", "615", " AMW", " AIA"], ["7", "1126", " AKI", " ESF"], ["11", "1013", " ALZ", " ABI"], ["12", "1107", " AIB", " RLI"], ["12", "1127", " ABY", " RLI"], ["10", "1117", " AFO", " ANI"], ["9", "1006", " AET", " ANV"], ["7", "1030", " AED", " AXS"], ["12", "891", " ALS", " ATO"], ["7", "857", " TDW", " LTS"], ["11", "824", " ABI", " ANW"], ["7", "720", " AED", " KQA"], ["7", "316", " AST", " AKI"], ["7", "337", " AUK", " AXG"], ["4", "167", " AKI", " AAF"], ["12", "264", " AMW", " AKI"], ["8", "640", " ABQ", " AOS"], ["5", "817", " ABY", " ALI"], ["5", "1089", " AKO", " ANV"], ["3", "589", " WKK", " AKO"], ["7", "948", " AKK", " OTS"], ["4", "565", " AED", " AYZ"], ["7", "856", " LTS", " TDW"], ["1", "148", " HMN", " ABL"], ["12", "778", " ABY", " AQY"], ["9", "1188", " AHF", " OTS"], ["9", "1115", " ABI", " LTS"], ["3", "438", " AFO", " AUK"], ["3", "962", " NGZ", " ALI"], ["3", "862", " LTS", " RLI"], ["8", "753", " ATE", " AEL"], ["9", "628", " ANI", " ADT"], ["11", "571", " RLI", " ANA"], ["1", "627", " AEL", " AKI"], ["3", "1187", " AET", " ANB"], ["12", "1005", " LTS", " CAK"], ["2", "902", " AKO", " OTS"], ["8", "1377", " ASE", " WKK"], ["11", "89", " AQY", " ANY"], ["7", "1081", " AGN", " AHF"], ["7", "455", " ADK", " KQA"], ["8", "752", " AEL", " ATE"], ["2", "729", " ESF", " AKI"], ["7", "370", " QAW", " ATW"], ["7", "1097", " EDF", " ABI"], ["1", "561", " ATO", " AHF"], ["1", "745", " OTS", " AED"], ["7", "614", " AIA", " AMW"], ["11", "401", " AEL", " ANA"], ["3", "963", " ALI", " NGZ"], ["7", "845", " AOS", " MMI"]]	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 airline serves the most flights?	[["Virgin America"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["10", "AirTran Airways", "AirTran", "USA"], ["2", "US Airways", "USAir", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["1", "United Airlines", "UAL", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["5", "American Airlines", "American", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["7", "737", " ABY", " ARX"], ["1", "143", " AKC", " ALI"], ["7", "670", " ANA", " ADR"], ["12", "957", " ABL", " AKO"], ["11", "1012", " ABI", " ALZ"], ["10", "1137", " ABI", " ABL"], ["11", "1079", " ADG", " ALZ"], ["7", "671", " ADR", " ANA"], ["9", "1114", " LTS", " ABI"], ["7", "792", " AIA", " NGZ"], ["10", "737", " AMN", " QAW"], ["9", "747", " ESF", " WKK"], ["1", "199", " AAF", " NGZ"], ["1", "1167", " AAF", " ABQ"], ["10", "1390", " ADG", " ABL"], ["12", "956", " AKO", " ABL"], ["7", "230", " NGZ", " ABY"], ["12", "121", " ADK", " ASY"], ["9", "1115", " ABI", " LTS"], ["2", "887", " ABY", " ANW"], ["12", "1057", " ADR", " ALN"], ["2", "1077", " ABQ", " AXG"], ["7", "793", " NGZ", " AIA"], ["10", "1136", " ABL", " ABI"], ["2", "989", " ADG", " ALS"], ["10", "1391", " ABL", " ADG"], ["9", "882", " ADT", " ALZ"], ["7", "571", " ADG", " OTS"], ["9", "942", " ABI", " MMI"], ["7", "45", " ABR", " AKI"], ["12", "1127", " ABY", " RLI"], ["6", "178", " ABQ", " ALI"], ["11", "1013", " ALZ", " ABI"], ["11", "1078", " ALZ", " ADG"], ["1", "142", " ALI", " AKC"], ["1", "1166", " ABQ", " AAF"], ["7", "231", " ABY", " NGZ"], ["5", "817", " ABY", " ALI"], ["10", "265", " ABI", " AIA"], ["6", "370", " WKK", " ADT"], ["11", "704", " ADR", " AKI"], ["11", "705", " AKI", " ADR"], ["6", "709", " ALI", " ANB"], ["1", "627", " AEL", " AKI"], ["8", "737", " ABQ", " ACV"], ["10", "1117", " AFO", " ANI"], ["6", "179", " ALI", " ABQ"], ["6", "371", " ADT", " WKK"], ["7", "409", " ADG", " AMN"], ["2", "886", " ANW", " ABY"], ["7", "44", " AKI", " ABR"], ["11", "513", " ABR", " ASY"], ["7", "949", " OTS", " AKK"], ["7", "570", " OTS", " ADG"], ["12", "1377", " LTS", " ALE"], ["2", "143", " ADM", " ABQ"], ["12", "326", " ATO", " AOS"], ["10", "1257", " ADM", " AED"], ["7", "662", " ATS", " AKO"], ["3", "962", " NGZ", " ALI"], ["6", "708", " ANB", " ALI"], ["7", "754", " ABR", " MMI"], ["1", "997", " AXS", " AXG"], ["1", "148", " HMN", " ABL"], ["7", "316", " AST", " AKI"], ["1", "745", " OTS", " AED"], ["9", "748", " ATS", " RLI"], ["7", "455", " ADK", " KQA"], ["8", "1418", " AEL", " ATS"], ["7", "721", " KQA", " AED"], ["2", "672", " ANV", " ABL"], ["12", "947", " AKK", " AXG"], ["2", "673", " ABL", " ANV"], ["12", "1056", " ALN", " ADR"], ["2", "988", " ALS", " ADG"], ["1", "90", " ATO", " ABR"], ["7", "408", " AMN", " ADG"], ["7", "981", " AIA", " AUK"], ["7", "317", " AKI", " AST"], ["2", "1375", " AMW", " ALI"], ["9", "943", " MMI", " ABI"], ["7", "1127", " ESF", " AKI"], ["8", "1419", " ATS", " AEL"], ["10", "1129", " AMN", " ABI"], ["12", "584", " ALZ", " ASE"], ["7", "755", " MMI", " ABR"], ["12", "1126", " RLI", " ABY"], ["9", "581", " ANI", " ADM"], ["1", "1285", " ADG", " ADK"], ["12", "779", " AQY", " ABY"], ["4", "565", " AED", " AYZ"], ["7", "454", " KQA", " ADK"], ["7", "948", " AKK", " OTS"], ["9", "749", " RLI", " ATS"], ["10", "1128", " ABI", " AMN"], ["5", "816", " ALI", " ABY"], ["1", "424", " ADG", " AOS"], ["1", "149", " ABL", " HMN"], ["8", "957", " AQY", " ADK"], ["8", "995", " AXB", " ABY"], ["7", "663", " AKO", " ATS"], ["2", "1076", " AXG", " ABQ"], ["7", "1097", " EDF", " ABI"], ["8", "994", " ABY", " AXB"], ["12", "585", " ASE", " ALZ"], ["1", "1168", " ADK", " NAB"], ["4", "564", " AYZ", " AED"], ["11", "575", " LTS", " ADK"], ["11", "825", " ANW", " ABI"], ["12", "778", " ABY", " AQY"], ["8", "640", " ABQ", " AOS"], ["1", "326", " ALX", " ALI"], ["9", "1061", " ADK", " AST"], ["1", "1284", " ADK", " ADG"], ["9", "1007", " ANV", " AET"], ["1", "626", " AKI", " AEL"], ["12", "157", " ESF", " ABY"], ["9", "629", " ADT", " ANI"], ["7", "1031", " AXS", " AED"], ["8", "1308", " ADG", " ALS"], ["6", "1071", " ABR", " ADK"], ["1", "370", " AKC", " WKK"], ["8", "1309", " ALS", " ADG"], ["9", "628", " ANI", " ADT"], ["12", "891", " ALS", " ATO"], ["1", "1062", " AQY", " AFO"], ["9", "883", " ALZ", " ADT"], ["7", "542", " WKK", " ANC"], ["4", "379", " ANQ", " WKK"], ["11", "877", " AXX", " KQA"], ["1", "1169", " NAB", " ADK"]]	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 abbreviation and country of the airline that has fewest number of flights?	[["AirTran", "USA"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["10", "AirTran Airways", "AirTran", "USA"], ["2", "US Airways", "USAir", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["1", "United Airlines", "UAL", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["5", "American Airlines", "American", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["2", "384", " AOS", " AGN"], ["2", "1077", " ABQ", " AXG"], ["12", "1057", " ADR", " ALN"], ["11", "842", " ABR", " AXN"], ["2", "427", " AMN", " AFO"], ["12", "1056", " ALN", " ADR"], ["2", "426", " AFO", " AMN"], ["2", "1076", " AXG", " ABQ"], ["1", "143", " AKC", " ALI"], ["1", "947", " ADR", " APV"], ["2", "385", " AGN", " AOS"], ["2", "841", " ADT", " NGZ"], ["12", "947", " AKK", " AXG"], ["1", "1168", " ADK", " NAB"], ["7", "670", " ANA", " ADR"], ["11", "843", " AXN", " ABR"], ["2", "467", " AGN", " ARB"], ["7", "542", " WKK", " ANC"], ["2", "989", " ADG", " ALS"], ["6", "1071", " ABR", " ADK"], ["7", "792", " AIA", " NGZ"], ["1", "946", " APV", " ADR"], ["1", "424", " ADG", " AOS"], ["1", "1062", " AQY", " AFO"], ["2", "466", " ARB", " AGN"], ["7", "737", " ABY", " ARX"], ["1", "199", " AAF", " NGZ"], ["1", "1284", " ADK", " ADG"], ["7", "337", " AUK", " AXG"], ["2", "988", " ALS", " ADG"], ["7", "981", " AIA", " AUK"], ["11", "1079", " ADG", " ALZ"], ["7", "671", " ADR", " ANA"], ["12", "121", " ADK", " ASY"], ["12", "946", " AXG", " AKK"], ["2", "88", " AGN", " AXX"], ["1", "148", " HMN", " ABL"], ["2", "672", " ANV", " ABL"], ["6", "371", " ADT", " WKK"], ["1", "1285", " ADG", " ADK"], ["1", "1169", " NAB", " ADK"], ["1", "997", " AXS", " AXG"], ["2", "840", " NGZ", " ADT"], ["11", "1078", " ALZ", " ADG"], ["7", "408", " AMN", " ADG"], ["1", "1167", " AAF", " ABQ"], ["8", "1377", " ASE", " WKK"], ["10", "737", " AMN", " QAW"], ["1", "996", " AXG", " AXS"], ["4", "582", " AXX", " WKK"], ["7", "336", " AXG", " AUK"], ["4", "378", " WKK", " ANQ"], ["4", "947", " AXG", " AHT"], ["2", "89", " AXX", " AGN"], ["6", "370", " WKK", " ADT"], ["1", "370", " AKC", " WKK"], ["9", "747", " ESF", " WKK"], ["2", "692", " CAK", " ATS"], ["2", "673", " ABL", " ANV"], ["1", "708", " AXB", " AFO"], ["4", "358", " ADG", " AMN"], ["10", "1257", " ADM", " AED"], ["7", "409", " ADG", " AMN"], ["2", "1377", " APG", " ALI"], ["2", "746", " ANC", " AST"], ["12", "326", " ATO", " AOS"], ["1", "371", " WKK", " AKC"], ["3", "962", " NGZ", " ALI"], ["12", "650", " CAK", " AXN"], ["8", "1376", " WKK", " ASE"], ["1", "1063", " AFO", " AQY"], ["11", "1061", " NAB", " WKK"], ["7", "812", " AND", " AXN"], ["9", "892", " WKK", " ANV"], ["4", "564", " AYZ", " AED"], ["8", "994", " ABY", " AXB"], ["7", "980", " AUK", " AIA"], ["3", "285", " AXN", " AXB"], ["7", "793", " NGZ", " AIA"], ["5", "902", " AFO", " WKK"], ["7", "543", " ANC", " WKK"], ["1", "1166", " ABQ", " AAF"], ["12", "1377", " LTS", " ALE"], ["12", "1334", " ADT", " AKK"], ["1", "709", " AFO", " AXB"], ["3", "162", " AIK", " ADT"], ["9", "882", " ADT", " ALZ"], ["2", "143", " ADM", " ABQ"], ["7", "230", " NGZ", " ABY"], ["9", "681", " AGN", " ABY"], ["1", "744", " AED", " OTS"], ["8", "737", " ABQ", " ACV"], ["4", "1138", " ABR", " AET"], ["2", "1188", " AIV", " ALE"], ["1", "1068", " APN", " ALB"], ["11", "877", " AXX", " KQA"], ["11", "834", " ATS", " AXN"], ["7", "948", " AKK", " OTS"], ["7", "818", " AXN", " AEX"], ["4", "946", " AHT", " AXG"], ["4", "627", " AXG", " AIA"], ["3", "364", " AYZ", " AUK"], ["4", "379", " ANQ", " WKK"], ["4", "359", " AMN", " ADG"], ["2", "1267", " ALE", " AHT"], ["7", "454", " KQA", " ADK"], ["5", "134", " AFO", " ADT"], ["10", "1117", " AFO", " ANI"], ["2", "1287", " ESF", " HMN"], ["11", "876", " KQA", " AXX"], ["1", "91", " ABR", " ATO"], ["1", "326", " ALX", " ALI"], ["2", "693", " ATS", " CAK"], ["12", "651", " AXN", " CAK"], ["1", "198", " NGZ", " AAF"], ["8", "957", " AQY", " ADK"], ["3", "1191", " ADG", " AXX"], ["2", "1266", " AHT", " ALE"], ["2", "1286", " HMN", " ESF"], ["9", "1007", " ANV", " AET"], ["2", "551", " ADK", " AIV"], ["4", "565", " AED", " AYZ"], ["3", "1187", " AET", " ANB"], ["4", "604", " AFO", " ANC"], ["8", "588", " AEX", " AXN"], ["2", "887", " ABY", " ANW"], ["7", "854", " KQA", " APN"], ["1", "745", " OTS", " AED"], ["1", "142", " ALI", " AKC"], ["11", "378", " RFK", " ASY"]]	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 abbreviation of the airilne has the fewest flights and what country is it in?	[["AirTran", "USA"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["10", "AirTran Airways", "AirTran", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["1", "United Airlines", "UAL", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["5", "American Airlines", "American", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "468", " HMN", " AHD"], ["7", "721", " KQA", " AED"], ["8", "653", " AHD", " AHF"], ["8", "652", " AHF", " AHD"], ["2", "747", " AST", " ANC"], ["8", "1349", " AHF", " ANI"], ["3", "461", " AHD", " RLI"], ["9", "469", " AHD", " HMN"], ["1", "744", " AED", " OTS"], ["3", "460", " RLI", " AHD"], ["4", "565", " AED", " AYZ"], ["1", "745", " OTS", " AED"], ["10", "1257", " ADM", " AED"], ["4", "564", " AYZ", " AED"], ["7", "1031", " AXS", " AED"], ["1", "787", " AHD", " ACV"], ["10", "929", " AHD", " ANB"], ["8", "1348", " ANI", " AHF"], ["10", "1256", " AED", " ADM"], ["1", "557", " AHD", " AYZ"], ["1", "556", " AYZ", " AHD"], ["9", "623", " KKI", " AED"], ["10", "928", " ANB", " AHD"], ["12", "209", " AHD", " AHN"], ["9", "622", " AED", " KKI"], ["11", "1137", " AHF", " AEX"], ["1", "786", " ACV", " AHD"], ["7", "1030", " AED", " AXS"], ["3", "397", " ASX", " AED"], ["7", "737", " ABY", " ARX"], ["1", "54", " AHD", " AHT"], ["1", "561", " ATO", " AHF"], ["7", "720", " AED", " KQA"], ["6", "717", " AHF", " AKP"], ["9", "1188", " AHF", " OTS"], ["9", "894", " AAF", " AHT"], ["3", "396", " AED", " ASX"], ["9", "895", " AHT", " AAF"], ["11", "1136", " AEX", " AHF"], ["11", "704", " ADR", " AKI"], ["10", "737", " AMN", " QAW"], ["1", "560", " AHF", " ATO"], ["8", "372", " AHF", " AKC"], ["9", "747", " ESF", " WKK"], ["12", "208", " AHN", " AHD"], ["8", "737", " ABQ", " ACV"], ["1", "1250", " ARC", " AED"], ["1", "55", " AHT", " AHD"], ["8", "1419", " ATS", " AEL"], ["6", "250", " AXX", " AED"], ["8", "373", " AKC", " AHF"], ["3", "1041", " OTS", " AHF"], ["11", "705", " AKI", " ADR"], ["8", "957", " AQY", " ADK"], ["9", "159", " AQY", " AKO"], ["1", "1251", " AED", " ARC"], ["2", "1243", " AMA", " AED"], ["9", "158", " AKO", " AQY"], ["3", "826", " ABQ", " AEL"], ["9", "828", " ADG", " HMN"], ["8", "1418", " AEL", " ATS"], ["6", "716", " AKP", " AHF"], ["9", "1007", " ANV", " AET"], ["9", "1189", " OTS", " AHF"], ["9", "224", " ASY", " AHF"], ["1", "1063", " AFO", " AQY"], ["3", "827", " AEL", " ABQ"], ["9", "647", " AHF", " ARX"], ["9", "829", " HMN", " ADG"], ["7", "454", " KQA", " ADK"], ["1", "1062", " AQY", " AFO"], ["7", "662", " ATS", " AKO"], ["9", "646", " ARX", " AHF"], ["2", "1267", " ALE", " AHT"], ["8", "956", " ADK", " AQY"], ["3", "439", " AUK", " AFO"], ["2", "645", " AMA", " AHD"], ["12", "1023", " AHN", " AKI"], ["12", "1022", " AKI", " AHN"], ["2", "644", " AHD", " AMA"], ["1", "626", " AKI", " AEL"], ["1", "627", " AEL", " AKI"], ["7", "663", " AKO", " ATS"], ["7", "1081", " AGN", " AHF"], ["4", "947", " AXG", " AHT"], ["11", "1079", " ADG", " ALZ"], ["3", "438", " AFO", " AUK"], ["2", "1377", " APG", " ALI"], ["9", "1006", " AET", " ANV"], ["2", "989", " ADG", " ALS"], ["2", "1266", " AHT", " ALE"], ["6", "251", " AED", " AXX"], ["2", "1242", " AED", " AMA"], ["9", "225", " AHF", " ASY"], ["10", "1117", " AFO", " ANI"], ["7", "455", " ADK", " KQA"], ["9", "634", " AKI", " ATW"], ["11", "504", " AAF", " AKO"], ["9", "628", " ANI", " ADT"], ["6", "370", " WKK", " ADT"], ["7", "1071", " ARB", " AET"], ["9", "581", " ANI", " ADM"], ["7", "854", " KQA", " APN"], ["9", "629", " ADT", " ANI"], ["2", "1375", " AMW", " ALI"], ["3", "1187", " AET", " ANB"], ["6", "811", " DYS", " AHD"], ["8", "420", " AKP", " ADT"], ["2", "1361", " AST", " AHH"], ["8", "1309", " ALS", " ADG"], ["2", "1077", " ABQ", " AXG"], ["7", "670", " ANA", " ADR"], ["9", "1061", " ADK", " AST"], ["12", "957", " ABL", " AKO"], ["9", "882", " ADT", " ALZ"], ["2", "988", " ALS", " ADG"], ["10", "934", " ABI", " AKP"], ["12", "1121", " AHF", " JLH"], ["11", "955", " AQY", " AHH"], ["9", "635", " ATW", " AKI"], ["7", "317", " AKI", " AST"], ["3", "1275", " AFO", " ASY"], ["3", "589", " WKK", " AKO"], ["11", "1179", " AFO", " KQA"], ["4", "57", " AKI", " AET"], ["4", "166", " AAF", " AKI"], ["7", "981", " AIA", " AUK"], ["9", "1044", " AQY", " NGZ"], ["10", "54", " KQA", " AHF"], ["11", "1178", " KQA", " AFO"], ["4", "946", " AHT", " AXG"]]	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 airlines that have some flight departing from airport 'AHD'?	[]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["3", "Delta Airlines", "Delta", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["1", "United Airlines", "UAL", "USA"], ["2", "US Airways", "USAir", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["5", "American Airlines", "American", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["3", "461", " AHD", " RLI"], ["7", "721", " KQA", " AED"], ["8", "1349", " AHF", " ANI"], ["8", "652", " AHF", " AHD"], ["8", "653", " AHD", " AHF"], ["9", "468", " HMN", " AHD"], ["8", "737", " ABQ", " ACV"], ["9", "469", " AHD", " HMN"], ["3", "827", " AEL", " ABQ"], ["3", "397", " ASX", " AED"], ["3", "460", " RLI", " AHD"], ["7", "1031", " AXS", " AED"], ["8", "957", " AQY", " ADK"], ["1", "787", " AHD", " ACV"], ["3", "826", " ABQ", " AEL"], ["12", "957", " ABL", " AKO"], ["2", "1243", " AMA", " AED"], ["9", "894", " AAF", " AHT"], ["1", "744", " AED", " OTS"], ["7", "720", " AED", " KQA"], ["3", "396", " AED", " ASX"], ["2", "1242", " AED", " AMA"], ["2", "1077", " ABQ", " AXG"], ["11", "704", " ADR", " AKI"], ["8", "1348", " ANI", " AHF"], ["11", "1137", " AHF", " AEX"], ["9", "895", " AHT", " AAF"], ["9", "159", " AQY", " AKO"], ["8", "372", " AHF", " AKC"], ["1", "745", " OTS", " AED"], ["9", "622", " AED", " KKI"], ["3", "1041", " OTS", " AHF"], ["9", "623", " KKI", " AED"], ["12", "1022", " AKI", " AHN"], ["9", "647", " AHF", " ARX"], ["9", "158", " AKO", " AQY"], ["8", "1419", " ATS", " AEL"], ["8", "956", " ADK", " AQY"], ["7", "1030", " AED", " AXS"], ["7", "1081", " AGN", " AHF"], ["7", "737", " ABY", " ARX"], ["1", "1062", " AQY", " AFO"], ["12", "1023", " AHN", " AKI"], ["11", "705", " AKI", " ADR"], ["10", "929", " AHD", " ANB"], ["1", "1167", " AAF", " ABQ"], ["4", "565", " AED", " AYZ"], ["8", "373", " AKC", " AHF"], ["4", "564", " AYZ", " AED"], ["1", "1063", " AFO", " AQY"], ["12", "208", " AHN", " AHD"], ["9", "747", " ESF", " WKK"], ["12", "956", " AKO", " ABL"], ["9", "1188", " AHF", " OTS"], ["12", "209", " AHD", " AHN"], ["10", "1257", " ADM", " AED"], ["4", "166", " AAF", " AKI"], ["1", "560", " AHF", " ATO"], ["7", "854", " KQA", " APN"], ["1", "561", " ATO", " AHF"], ["3", "922", " ASY", " AAF"], ["9", "646", " ARX", " AHF"], ["8", "1418", " AEL", " ATS"], ["11", "1136", " AEX", " AHF"], ["7", "662", " ATS", " AKO"], ["1", "786", " ACV", " AHD"], ["4", "947", " AXG", " AHT"], ["8", "1232", " NDV", " AKI"], ["1", "627", " AEL", " AKI"], ["2", "1377", " APG", " ALI"], ["9", "1044", " AQY", " NGZ"], ["2", "1076", " AXG", " ABQ"], ["2", "989", " ADG", " ALS"], ["2", "1159", " QAW", " ABI"], ["2", "644", " AHD", " AMA"], ["12", "1121", " AHF", " JLH"], ["9", "829", " HMN", " ADG"], ["7", "317", " AKI", " AST"], ["10", "737", " AMN", " QAW"], ["6", "717", " AHF", " AKP"], ["9", "224", " ASY", " AHF"], ["9", "828", " ADG", " HMN"], ["7", "1071", " ARB", " AET"], ["11", "1179", " AFO", " KQA"], ["7", "663", " AKO", " ATS"], ["3", "1187", " AET", " ANB"], ["7", "454", " KQA", " ADK"], ["2", "485", " AQY", " ARX"], ["2", "645", " AMA", " AHD"], ["2", "484", " ARX", " AQY"], ["1", "1166", " ABQ", " AAF"], ["1", "1251", " AED", " ARC"], ["10", "928", " ANB", " AHD"], ["9", "1061", " ADK", " AST"], ["1", "947", " ADR", " APV"], ["1", "54", " AHD", " AHT"], ["3", "439", " AUK", " AFO"], ["1", "1250", " ARC", " AED"], ["9", "882", " ADT", " ALZ"], ["10", "934", " ABI", " AKP"], ["9", "1007", " ANV", " AET"], ["8", "1233", " AKI", " NDV"], ["9", "629", " ADT", " ANI"], ["8", "832", " AAF", " MMI"], ["9", "1045", " NGZ", " AQY"], ["9", "1189", " OTS", " AHF"], ["2", "1375", " AMW", " ALI"], ["11", "1079", " ADG", " ALZ"], ["3", "711", " AHT", " ANN"], ["7", "855", " APN", " KQA"], ["11", "504", " AAF", " AKO"], ["8", "641", " AOS", " ABQ"], ["2", "841", " ADT", " NGZ"], ["8", "640", " ABQ", " AOS"], ["10", "1256", " AED", " ADM"], ["7", "942", " AKP", " AIB"], ["2", "1267", " ALE", " AHT"], ["2", "921", " ASX", " AET"], ["1", "626", " AKI", " AEL"], ["7", "981", " AIA", " AUK"], ["9", "628", " ANI", " ADT"], ["8", "752", " AEL", " ATE"], ["1", "557", " AHD", " AYZ"], ["3", "1275", " AFO", " ASY"], ["7", "455", " ADK", " KQA"], ["7", "1097", " EDF", " ABI"], ["12", "1120", " JLH", " AHF"], ["3", "589", " WKK", " AKO"], ["2", "1374", " ALI", " AMW"], ["11", "1178", " KQA", " AFO"]]	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 airlines have a flight with source airport AHD?	[]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["3", "Delta Airlines", "Delta", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["1", "United Airlines", "UAL", "USA"], ["2", "US Airways", "USAir", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "721", " KQA", " AED"], ["8", "653", " AHD", " AHF"], ["8", "652", " AHF", " AHD"], ["2", "747", " AST", " ANC"], ["9", "468", " HMN", " AHD"], ["3", "461", " AHD", " RLI"], ["8", "1349", " AHF", " ANI"], ["3", "460", " RLI", " AHD"], ["9", "469", " AHD", " HMN"], ["7", "1031", " AXS", " AED"], ["1", "744", " AED", " OTS"], ["1", "745", " OTS", " AED"], ["1", "787", " AHD", " ACV"], ["4", "565", " AED", " AYZ"], ["10", "929", " AHD", " ANB"], ["8", "1348", " ANI", " AHF"], ["4", "564", " AYZ", " AED"], ["9", "623", " KKI", " AED"], ["10", "1257", " ADM", " AED"], ["12", "209", " AHD", " AHN"], ["11", "704", " ADR", " AKI"], ["1", "560", " AHF", " ATO"], ["7", "720", " AED", " KQA"], ["1", "561", " ATO", " AHF"], ["9", "622", " AED", " KKI"], ["10", "928", " ANB", " AHD"], ["11", "1137", " AHF", " AEX"], ["1", "557", " AHD", " AYZ"], ["3", "397", " ASX", " AED"], ["7", "1030", " AED", " AXS"], ["8", "737", " ABQ", " ACV"], ["8", "372", " AHF", " AKC"], ["7", "737", " ABY", " ARX"], ["11", "705", " AKI", " ADR"], ["10", "1256", " AED", " ADM"], ["1", "786", " ACV", " AHD"], ["12", "208", " AHN", " AHD"], ["8", "373", " AKC", " AHF"], ["1", "556", " AYZ", " AHD"], ["3", "396", " AED", " ASX"], ["6", "717", " AHF", " AKP"], ["3", "827", " AEL", " ABQ"], ["3", "826", " ABQ", " AEL"], ["8", "1419", " ATS", " AEL"], ["10", "737", " AMN", " QAW"], ["11", "1136", " AEX", " AHF"], ["9", "894", " AAF", " AHT"], ["9", "895", " AHT", " AAF"], ["2", "1243", " AMA", " AED"], ["1", "55", " AHT", " AHD"], ["8", "1418", " AEL", " ATS"], ["1", "54", " AHD", " AHT"], ["12", "1023", " AHN", " AKI"], ["6", "250", " AXX", " AED"], ["12", "1022", " AKI", " AHN"], ["9", "1188", " AHF", " OTS"], ["7", "663", " AKO", " ATS"], ["8", "957", " AQY", " ADK"], ["3", "1041", " OTS", " AHF"], ["7", "662", " ATS", " AKO"], ["9", "828", " ADG", " HMN"], ["3", "439", " AUK", " AFO"], ["1", "1250", " ARC", " AED"], ["9", "829", " HMN", " ADG"], ["7", "1081", " AGN", " AHF"], ["2", "644", " AHD", " AMA"], ["2", "1242", " AED", " AMA"], ["7", "854", " KQA", " APN"], ["11", "1179", " AFO", " KQA"], ["2", "645", " AMA", " AHD"], ["3", "438", " AFO", " AUK"], ["1", "627", " AEL", " AKI"], ["9", "747", " ESF", " WKK"], ["6", "716", " AKP", " AHF"], ["9", "224", " ASY", " AHF"], ["11", "824", " ABI", " ANW"], ["9", "159", " AQY", " AKO"], ["1", "1251", " AED", " ARC"], ["7", "454", " KQA", " ADK"], ["11", "1178", " KQA", " AFO"], ["11", "825", " ANW", " ABI"], ["1", "1063", " AFO", " AQY"], ["1", "626", " AKI", " AEL"], ["2", "1077", " ABQ", " AXG"], ["8", "956", " ADK", " AQY"], ["11", "1079", " ADG", " ALZ"], ["11", "504", " AAF", " AKO"], ["9", "158", " AKO", " AQY"], ["9", "647", " AHF", " ARX"], ["12", "957", " ABL", " AKO"], ["9", "1007", " ANV", " AET"], ["8", "420", " AKP", " ADT"], ["9", "628", " ANI", " ADT"], ["9", "629", " ADT", " ANI"], ["7", "855", " APN", " KQA"], ["9", "634", " AKI", " ATW"], ["1", "1062", " AQY", " AFO"], ["10", "934", " ABI", " AKP"], ["2", "1377", " APG", " ALI"], ["6", "251", " AED", " AXX"], ["7", "981", " AIA", " AUK"], ["10", "1117", " AFO", " ANI"], ["9", "1189", " OTS", " AHF"], ["9", "646", " ARX", " AHF"], ["8", "1281", " AET", " ATO"], ["12", "1121", " AHF", " JLH"], ["7", "455", " ADK", " KQA"], ["9", "225", " AHF", " ASY"], ["2", "1267", " ALE", " AHT"], ["7", "317", " AKI", " AST"], ["2", "989", " ADG", " ALS"], ["4", "947", " AXG", " AHT"], ["7", "1071", " ARB", " AET"], ["11", "505", " AKO", " AAF"], ["9", "635", " ATW", " AKI"], ["3", "1187", " AET", " ANB"], ["2", "1375", " AMW", " ALI"], ["6", "811", " DYS", " AHD"], ["10", "935", " AKP", " ABI"], ["9", "748", " ATS", " RLI"], ["10", "175", " AMA", " AED"], ["11", "908", " ANQ", " ATO"], ["12", "1120", " JLH", " AHF"], ["2", "1361", " AST", " AHH"], ["9", "1006", " AET", " ANV"], ["10", "827", " ARB", " AHH"], ["4", "57", " AKI", " AET"], ["2", "887", " ABY", " ANW"], ["11", "909", " ATO", " ANQ"], ["9", "882", " ADT", " ALZ"], ["11", "955", " AQY", " AHH"]]	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 airlines that have flights arriving at airport 'AHD'?	[]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["3", "Delta Airlines", "Delta", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["1", "United Airlines", "UAL", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["2", "US Airways", "USAir", "USA"], ["5", "American Airlines", "American", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["7", "721", " KQA", " AED"], ["9", "468", " HMN", " AHD"], ["1", "787", " AHD", " ACV"], ["9", "469", " AHD", " HMN"], ["7", "1031", " AXS", " AED"], ["8", "652", " AHF", " AHD"], ["3", "461", " AHD", " RLI"], ["1", "745", " OTS", " AED"], ["8", "653", " AHD", " AHF"], ["3", "460", " RLI", " AHD"], ["8", "1349", " AHF", " ANI"], ["1", "744", " AED", " OTS"], ["3", "397", " ASX", " AED"], ["1", "786", " ACV", " AHD"], ["10", "1257", " ADM", " AED"], ["7", "737", " ABY", " ARX"], ["7", "720", " AED", " KQA"], ["12", "209", " AHD", " AHN"], ["7", "1030", " AED", " AXS"], ["8", "737", " ABQ", " ACV"], ["3", "396", " AED", " ASX"], ["4", "565", " AED", " AYZ"], ["8", "1348", " ANI", " AHF"], ["10", "929", " AHD", " ANB"], ["12", "208", " AHN", " AHD"], ["1", "54", " AHD", " AHT"], ["6", "250", " AXX", " AED"], ["10", "1256", " AED", " ADM"], ["9", "895", " AHT", " AAF"], ["4", "564", " AYZ", " AED"], ["6", "717", " AHF", " AKP"], ["7", "670", " ANA", " ADR"], ["11", "1137", " AHF", " AEX"], ["1", "557", " AHD", " AYZ"], ["1", "1250", " ARC", " AED"], ["3", "827", " AEL", " ABQ"], ["9", "1188", " AHF", " OTS"], ["9", "894", " AAF", " AHT"], ["8", "372", " AHF", " AKC"], ["1", "55", " AHT", " AHD"], ["1", "561", " ATO", " AHF"], ["9", "647", " AHF", " ARX"], ["2", "1077", " ABQ", " AXG"], ["3", "1041", " OTS", " AHF"], ["2", "1377", " APG", " ALI"], ["1", "560", " AHF", " ATO"], ["10", "928", " ANB", " AHD"], ["10", "737", " AMN", " QAW"], ["2", "1267", " ALE", " AHT"], ["3", "826", " ABQ", " AEL"], ["8", "1419", " ATS", " AEL"], ["1", "1251", " AED", " ARC"], ["7", "1081", " AGN", " AHF"], ["1", "947", " ADR", " APV"], ["9", "622", " AED", " KKI"], ["9", "1189", " OTS", " AHF"], ["4", "947", " AXG", " AHT"], ["9", "829", " HMN", " ADG"], ["1", "556", " AYZ", " AHD"], ["7", "662", " ATS", " AKO"], ["7", "1071", " ARB", " AET"], ["9", "623", " KKI", " AED"], ["2", "645", " AMA", " AHD"], ["7", "671", " ADR", " ANA"], ["8", "373", " AKC", " AHF"], ["9", "646", " ARX", " AHF"], ["7", "317", " AKI", " AST"], ["7", "1097", " EDF", " ABI"], ["9", "1007", " ANV", " AET"], ["8", "1418", " AEL", " ATS"], ["2", "1361", " AST", " AHH"], ["7", "455", " ADK", " KQA"], ["7", "855", " APN", " KQA"], ["7", "854", " KQA", " APN"], ["6", "251", " AED", " AXX"], ["11", "1136", " AEX", " AHF"], ["9", "224", " ASY", " AHF"], ["9", "225", " AHF", " ASY"], ["9", "828", " ADG", " HMN"], ["6", "716", " AKP", " AHF"], ["7", "454", " KQA", " ADK"], ["3", "244", " EDF", " AHT"], ["1", "1167", " AAF", " ABQ"], ["8", "957", " AQY", " ADK"], ["1", "1062", " AQY", " AFO"], ["2", "1243", " AMA", " AED"], ["3", "1187", " AET", " ANB"], ["2", "1242", " AED", " AMA"], ["11", "705", " AKI", " ADR"], ["11", "704", " ADR", " AKI"], ["7", "663", " AKO", " ATS"], ["9", "629", " ADT", " ANI"], ["2", "1266", " AHT", " ALE"], ["2", "644", " AHD", " AMA"], ["8", "420", " AKP", " ADT"], ["12", "1022", " AKI", " AHN"], ["1", "946", " APV", " ADR"], ["9", "882", " ADT", " ALZ"], ["6", "370", " WKK", " ADT"], ["2", "1076", " AXG", " ABQ"], ["1", "627", " AEL", " AKI"], ["7", "295", " AKP", " AET"], ["3", "439", " AUK", " AFO"], ["2", "1375", " AMW", " ALI"], ["2", "1360", " AHH", " AST"], ["7", "792", " AIA", " NGZ"], ["7", "1096", " ABI", " EDF"], ["9", "747", " ESF", " WKK"], ["9", "279", " AST", " AHH"], ["9", "159", " AQY", " AKO"], ["5", "134", " AFO", " ADT"], ["1", "1063", " AFO", " AQY"], ["2", "841", " ADT", " NGZ"], ["7", "942", " AKP", " AIB"], ["12", "957", " ABL", " AKO"], ["4", "166", " AAF", " AKI"], ["2", "1376", " ALI", " APG"], ["9", "158", " AKO", " AQY"], ["7", "337", " AUK", " AXG"], ["9", "628", " ANI", " ADT"], ["2", "1159", " QAW", " ABI"], ["12", "1023", " AHN", " AKI"], ["6", "179", " ALI", " ABQ"], ["1", "1166", " ABQ", " AAF"], ["7", "316", " AST", " AKI"], ["9", "1006", " AET", " ANV"], ["7", "845", " AOS", " MMI"], ["7", "981", " AIA", " AUK"], ["2", "989", " ADG", " ALS"], ["12", "1057", " ADR", " ALN"]]	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 airlines have a flight with destination airport AHD?	[]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["3", "Delta Airlines", "Delta", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["1", "United Airlines", "UAL", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "791", " CVO", " APN"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["8", "JetBlue Airways", "JetBlue", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "790", " APN", " CVO"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "1011", " AST", " CVO"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["5", "American Airlines", "American", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "692", " AIK", " CVO"], ["9", "1091", " HMN", " CVO"], ["8", "671", " CVO", " ASY"], ["8", "670", " ASY", " CVO"], ["1", "754", " CVO", " ANY"], ["1", "755", " ANY", " CVO"], ["11", "1112", " ARB", " CVO"], ["2", "1377", " APG", " ALI"], ["2", "488", " VJI", " APG"], ["9", "693", " CVO", " AIK"], ["4", "431", " LTS", " CVO"], ["3", "1010", " CVO", " AST"], ["2", "489", " APG", " VJI"], ["11", "1022", " CVO", " NDV"], ["11", "1023", " NDV", " CVO"], ["11", "1113", " CVO", " ARB"], ["4", "384", " AYZ", " CVO"], ["9", "1090", " CVO", " HMN"], ["8", "1051", " CVO", " RFK"], ["2", "1376", " ALI", " APG"], ["4", "742", " HMN", " APG"], ["4", "385", " CVO", " AYZ"], ["5", "752", " ASE", " CVO"], ["6", "658", " ALM", " CVO"], ["1", "227", " KKI", " CVO"], ["1", "1062", " AQY", " AFO"], ["4", "430", " CVO", " LTS"], ["5", "753", " CVO", " ASE"], ["1", "1063", " AFO", " AQY"], ["4", "743", " APG", " HMN"], ["12", "1231", " CVO", " ANC"], ["6", "659", " CVO", " ALM"], ["2", "903", " OTS", " AKO"], ["8", "1050", " RFK", " CVO"], ["11", "908", " ANQ", " ATO"], ["1", "45", " ACV", " CVO"], ["3", "438", " AFO", " AUK"], ["11", "909", " ATO", " ANQ"], ["3", "439", " AUK", " AFO"], ["1", "946", " APV", " ADR"], ["12", "327", " AOS", " ATO"], ["11", "1079", " ADG", " ALZ"], ["9", "159", " AQY", " AKO"], ["2", "747", " AST", " ANC"], ["1", "226", " CVO", " KKI"], ["9", "158", " AKO", " AQY"], ["11", "1178", " KQA", " AFO"], ["11", "1078", " ALZ", " ADG"], ["2", "902", " AKO", " OTS"], ["5", "469", " AXS", " CVO"], ["1", "947", " ADR", " APV"], ["9", "828", " ADG", " HMN"], ["11", "1179", " AFO", " KQA"], ["12", "957", " ABL", " AKO"], ["10", "513", " ESF", " CVO"], ["1", "91", " ABR", " ATO"], ["5", "468", " CVO", " AXS"], ["12", "1230", " ANC", " CVO"], ["2", "1077", " ABQ", " AXG"], ["1", "1068", " APN", " ALB"], ["9", "829", " HMN", " ADG"], ["3", "905", " ANV", " APV"], ["7", "662", " ATS", " AKO"], ["12", "956", " AKO", " ABL"], ["12", "326", " ATO", " AOS"], ["6", "29", " APG", " ABQ"], ["1", "44", " CVO", " ACV"], ["3", "904", " APV", " ANV"], ["5", "1089", " AKO", " ANV"], ["6", "28", " ABQ", " APG"], ["7", "663", " AKO", " ATS"], ["8", "737", " ABQ", " ACV"], ["6", "478", " APG", " AEL"], ["5", "1088", " ANV", " AKO"], ["11", "505", " AKO", " AAF"], ["8", "1281", " AET", " ATO"], ["4", "297", " AFO", " AIV"], ["2", "1076", " AXG", " ABQ"], ["10", "1172", " APG", " AKC"], ["1", "424", " ADG", " AOS"], ["1", "708", " AXB", " AFO"], ["2", "64", " VJI", " AOS"], ["8", "1087", " AFO", " EDF"], ["1", "425", " AOS", " ADG"], ["1", "709", " AFO", " AXB"], ["11", "135", " ADG", " NDV"], ["7", "571", " ADG", " OTS"], ["1", "29", " ASY", " APG"], ["10", "1391", " ABL", " ADG"], ["4", "296", " AIV", " AFO"], ["1", "560", " AHF", " ATO"], ["5", "432", " APV", " TDW"], ["2", "989", " ADG", " ALS"], ["6", "479", " AEL", " APG"], ["7", "855", " APN", " KQA"], ["11", "142", " AXS", " APG"], ["7", "854", " KQA", " APN"], ["4", "1162", " ANW", " AKO"], ["2", "988", " ALS", " ADG"], ["1", "28", " APG", " ASY"], ["3", "588", " AKO", " WKK"], ["2", "841", " ADT", " NGZ"], ["10", "1117", " AFO", " ANI"], ["3", "1275", " AFO", " ASY"], ["11", "504", " AAF", " AKO"], ["5", "135", " ADT", " AFO"], ["1", "90", " ATO", " ABR"], ["8", "957", " AQY", " ADK"], ["11", "134", " NDV", " ADG"], ["3", "589", " WKK", " AKO"], ["8", "1086", " EDF", " AFO"], ["3", "101", " APG", " AXN"], ["2", "65", " AOS", " VJI"], ["3", "100", " AXN", " APG"], ["10", "1173", " AKC", " APG"], ["5", "902", " AFO", " WKK"], ["5", "134", " AFO", " ADT"], ["1", "1274", " ALS", " APG"], ["4", "1163", " AKO", " ANW"]]	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 all airlines that have flights from both airports 'APG' and 'CVO'.	[]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["3", "Delta Airlines", "Delta", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["1", "United Airlines", "UAL", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "791", " CVO", " APN"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["8", "JetBlue Airways", "JetBlue", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "790", " APN", " CVO"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["5", "American Airlines", "American", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "1011", " AST", " CVO"], ["2", "488", " VJI", " APG"], ["2", "489", " APG", " VJI"], ["9", "1091", " HMN", " CVO"], ["9", "692", " AIK", " CVO"], ["4", "431", " LTS", " CVO"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "1010", " CVO", " AST"], ["2", "1377", " APG", " ALI"], ["1", "755", " ANY", " CVO"], ["11", "1112", " ARB", " CVO"], ["8", "670", " ASY", " CVO"], ["1", "754", " CVO", " ANY"], ["9", "693", " CVO", " AIK"], ["8", "671", " CVO", " ASY"], ["11", "1113", " CVO", " ARB"], ["4", "384", " AYZ", " CVO"], ["4", "742", " HMN", " APG"], ["2", "1376", " ALI", " APG"], ["9", "1090", " CVO", " HMN"], ["11", "1022", " CVO", " NDV"], ["4", "385", " CVO", " AYZ"], ["11", "1023", " NDV", " CVO"], ["4", "430", " CVO", " LTS"], ["4", "743", " APG", " HMN"], ["5", "752", " ASE", " CVO"], ["8", "1051", " CVO", " RFK"], ["5", "753", " CVO", " ASE"], ["6", "658", " ALM", " CVO"], ["1", "45", " ACV", " CVO"], ["6", "659", " CVO", " ALM"], ["12", "1231", " CVO", " ANC"], ["1", "1063", " AFO", " AQY"], ["1", "1062", " AQY", " AFO"], ["11", "1079", " ADG", " ALZ"], ["12", "327", " AOS", " ATO"], ["1", "227", " KKI", " CVO"], ["1", "946", " APV", " ADR"], ["3", "439", " AUK", " AFO"], ["8", "1050", " RFK", " CVO"], ["5", "469", " AXS", " CVO"], ["11", "1078", " ALZ", " ADG"], ["3", "438", " AFO", " AUK"], ["6", "478", " APG", " AEL"], ["12", "1230", " ANC", " CVO"], ["1", "947", " ADR", " APV"], ["10", "513", " ESF", " CVO"], ["1", "44", " CVO", " ACV"], ["5", "468", " CVO", " AXS"], ["6", "28", " ABQ", " APG"], ["9", "828", " ADG", " HMN"], ["11", "908", " ANQ", " ATO"], ["9", "158", " AKO", " AQY"], ["11", "909", " ATO", " ANQ"], ["6", "479", " AEL", " APG"], ["6", "29", " APG", " ABQ"], ["9", "159", " AQY", " AKO"], ["1", "425", " AOS", " ADG"], ["3", "905", " ANV", " APV"], ["4", "297", " AFO", " AIV"], ["2", "903", " OTS", " AKO"], ["11", "142", " AXS", " APG"], ["1", "424", " ADG", " AOS"], ["9", "829", " HMN", " ADG"], ["12", "326", " ATO", " AOS"], ["1", "29", " ASY", " APG"], ["3", "904", " APV", " ANV"], ["1", "1068", " APN", " ALB"], ["1", "226", " CVO", " KKI"], ["1", "28", " APG", " ASY"], ["1", "1275", " APG", " ALS"], ["1", "1274", " ALS", " APG"], ["4", "296", " AIV", " AFO"], ["10", "1172", " APG", " AKC"], ["8", "1281", " AET", " ATO"], ["2", "747", " AST", " ANC"], ["7", "663", " AKO", " ATS"], ["7", "662", " ATS", " AKO"], ["2", "1077", " ABQ", " AXG"], ["1", "91", " ABR", " ATO"], ["2", "902", " AKO", " OTS"], ["12", "957", " ABL", " AKO"], ["2", "64", " VJI", " AOS"], ["5", "1089", " AKO", " ANV"], ["3", "101", " APG", " AXN"], ["11", "505", " AKO", " AAF"], ["5", "1088", " ANV", " AKO"], ["7", "571", " ADG", " OTS"], ["1", "560", " AHF", " ATO"], ["12", "956", " AKO", " ABL"], ["11", "1178", " KQA", " AFO"], ["11", "135", " ADG", " NDV"], ["2", "1021", " ADG", " ANP"], ["7", "570", " OTS", " ADG"], ["3", "1191", " ADG", " AXX"], ["3", "100", " AXN", " APG"], ["3", "1275", " AFO", " ASY"], ["2", "1076", " AXG", " ABQ"], ["11", "1179", " AFO", " KQA"], ["5", "432", " APV", " TDW"], ["11", "143", " APG", " AXS"], ["5", "135", " ADT", " AFO"], ["4", "359", " AMN", " ADG"], ["1", "709", " AFO", " AXB"], ["4", "358", " ADG", " AMN"], ["3", "1190", " AXX", " ADG"], ["10", "1173", " AKC", " APG"], ["2", "989", " ADG", " ALS"], ["2", "988", " ALS", " ADG"], ["10", "1391", " ABL", " ADG"], ["1", "708", " AXB", " AFO"], ["11", "134", " NDV", " ADG"], ["2", "65", " AOS", " VJI"], ["1", "1069", " ALB", " APN"], ["5", "134", " AFO", " ADT"], ["6", "741", " AXG", " HMN"], ["1", "1284", " ADK", " ADG"], ["8", "737", " ABQ", " ACV"], ["2", "841", " ADT", " NGZ"], ["11", "741", " OTS", " AXG"], ["11", "504", " AAF", " AKO"]]	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 airlines have departing flights from both APG and CVO airports?	[]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["9", "Frontier Airlines", "Frontier", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["2", "US Airways", "USAir", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["1", "United Airlines", "UAL", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "791", " CVO", " APN"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "1011", " AST", " CVO"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["5", "American Airlines", "American", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "790", " APN", " CVO"], ["9", "692", " AIK", " CVO"], ["9", "1091", " HMN", " CVO"], ["1", "754", " CVO", " ANY"], ["8", "670", " ASY", " CVO"], ["9", "693", " CVO", " AIK"], ["3", "1010", " CVO", " AST"], ["1", "755", " ANY", " CVO"], ["8", "671", " CVO", " ASY"], ["4", "431", " LTS", " CVO"], ["11", "1023", " NDV", " CVO"], ["11", "1112", " ARB", " CVO"], ["4", "384", " AYZ", " CVO"], ["11", "1113", " CVO", " ARB"], ["9", "1090", " CVO", " HMN"], ["11", "1022", " CVO", " NDV"], ["8", "1051", " CVO", " RFK"], ["4", "385", " CVO", " AYZ"], ["1", "227", " KKI", " CVO"], ["12", "1231", " CVO", " ANC"], ["2", "1377", " APG", " ALI"], ["5", "753", " CVO", " ASE"], ["5", "752", " ASE", " CVO"], ["1", "1063", " AFO", " AQY"], ["4", "430", " CVO", " LTS"], ["1", "1062", " AQY", " AFO"], ["11", "909", " ATO", " ANQ"], ["2", "488", " VJI", " APG"], ["2", "489", " APG", " VJI"], ["11", "908", " ANQ", " ATO"], ["6", "658", " ALM", " CVO"], ["8", "1050", " RFK", " CVO"], ["5", "469", " AXS", " CVO"], ["1", "226", " CVO", " KKI"], ["4", "742", " HMN", " APG"], ["12", "1230", " ANC", " CVO"], ["1", "45", " ACV", " CVO"], ["10", "513", " ESF", " CVO"], ["9", "159", " AQY", " AKO"], ["2", "1376", " ALI", " APG"], ["9", "158", " AKO", " AQY"], ["6", "659", " CVO", " ALM"], ["12", "327", " AOS", " ATO"], ["4", "743", " APG", " HMN"], ["5", "468", " CVO", " AXS"], ["3", "439", " AUK", " AFO"], ["12", "957", " ABL", " AKO"], ["3", "438", " AFO", " AUK"], ["11", "1079", " ADG", " ALZ"], ["1", "946", " APV", " ADR"], ["11", "1178", " KQA", " AFO"], ["2", "747", " AST", " ANC"], ["1", "91", " ABR", " ATO"], ["2", "903", " OTS", " AKO"], ["1", "947", " ADR", " APV"], ["12", "326", " ATO", " AOS"], ["11", "1179", " AFO", " KQA"], ["9", "828", " ADG", " HMN"], ["12", "956", " AKO", " ABL"], ["5", "1089", " AKO", " ANV"], ["11", "1078", " ALZ", " ADG"], ["3", "905", " ANV", " APV"], ["7", "663", " AKO", " ATS"], ["5", "1088", " ANV", " AKO"], ["1", "44", " CVO", " ACV"], ["11", "505", " AKO", " AAF"], ["9", "829", " HMN", " ADG"], ["3", "904", " APV", " ANV"], ["3", "1275", " AFO", " ASY"], ["7", "662", " ATS", " AKO"], ["2", "902", " AKO", " OTS"], ["8", "957", " AQY", " ADK"], ["10", "1117", " AFO", " ANI"], ["1", "709", " AFO", " AXB"], ["8", "737", " ABQ", " ACV"], ["9", "1044", " AQY", " NGZ"], ["1", "1068", " APN", " ALB"], ["10", "1391", " ABL", " ADG"], ["8", "1281", " AET", " ATO"], ["1", "90", " ATO", " ABR"], ["2", "1077", " ABQ", " AXG"], ["1", "560", " AHF", " ATO"], ["11", "504", " AAF", " AKO"], ["1", "708", " AXB", " AFO"], ["3", "1274", " ASY", " AFO"], ["9", "1045", " NGZ", " AQY"], ["1", "424", " ADG", " AOS"], ["7", "571", " ADG", " OTS"], ["8", "1087", " AFO", " EDF"], ["6", "29", " APG", " ABQ"], ["5", "135", " ADT", " AFO"], ["3", "589", " WKK", " AKO"], ["1", "425", " AOS", " ADG"], ["6", "28", " ABQ", " APG"], ["3", "588", " AKO", " WKK"], ["7", "854", " KQA", " APN"], ["5", "902", " AFO", " WKK"], ["9", "1061", " ADK", " AST"], ["8", "956", " ADK", " AQY"], ["5", "903", " WKK", " AFO"], ["5", "134", " AFO", " ADT"], ["4", "297", " AFO", " AIV"], ["4", "1162", " ANW", " AKO"], ["7", "855", " APN", " KQA"], ["11", "741", " OTS", " AXG"], ["4", "1163", " AKO", " ANW"], ["11", "135", " ADG", " NDV"], ["6", "478", " APG", " AEL"], ["4", "296", " AIV", " AFO"], ["2", "1076", " AXG", " ABQ"], ["1", "29", " ASY", " APG"], ["9", "748", " ATS", " RLI"], ["10", "1390", " ADG", " ABL"], ["8", "1086", " EDF", " AFO"], ["7", "337", " AUK", " AXG"], ["1", "561", " ATO", " AHF"], ["7", "792", " AIA", " NGZ"], ["11", "134", " NDV", " ADG"], ["7", "793", " NGZ", " AIA"], ["2", "64", " VJI", " AOS"], ["7", "570", " OTS", " ADG"], ["1", "28", " APG", " ASY"], ["10", "1116", " ANI", " AFO"]]	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 all airlines that have flights from airport 'CVO' but not from 'APG'.	[]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["3", "Delta Airlines", "Delta", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["1", "United Airlines", "UAL", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "791", " CVO", " APN"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["5", "American Airlines", "American", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "790", " APN", " CVO"], ["3", "1011", " AST", " CVO"], ["9", "1091", " HMN", " CVO"], ["3", "1010", " CVO", " AST"]]Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "692", " AIK", " CVO"], ["4", "431", " LTS", " CVO"], ["8", "670", " ASY", " CVO"], ["1", "755", " ANY", " CVO"], ["8", "671", " CVO", " ASY"], ["9", "693", " CVO", " AIK"], ["11", "1112", " ARB", " CVO"], ["1", "754", " CVO", " ANY"], ["11", "1113", " CVO", " ARB"], ["9", "1090", " CVO", " HMN"], ["11", "1023", " NDV", " CVO"], ["4", "384", " AYZ", " CVO"], ["2", "489", " APG", " VJI"], ["11", "1022", " CVO", " NDV"], ["2", "1377", " APG", " ALI"], ["2", "488", " VJI", " APG"], ["4", "385", " CVO", " AYZ"], ["4", "430", " CVO", " LTS"], ["8", "1051", " CVO", " RFK"], ["5", "752", " ASE", " CVO"], ["5", "753", " CVO", " ASE"], ["12", "1231", " CVO", " ANC"], ["1", "45", " ACV", " CVO"], ["6", "658", " ALM", " CVO"], ["4", "742", " HMN", " APG"], ["2", "1376", " ALI", " APG"], ["1", "227", " KKI", " CVO"], ["5", "469", " AXS", " CVO"], ["6", "659", " CVO", " ALM"], ["4", "743", " APG", " HMN"], ["1", "1063", " AFO", " AQY"], ["12", "327", " AOS", " ATO"], ["12", "1230", " ANC", " CVO"], ["1", "1062", " AQY", " AFO"], ["8", "1050", " RFK", " CVO"], ["11", "1079", " ADG", " ALZ"], ["5", "468", " CVO", " AXS"], ["11", "909", " ATO", " ANQ"], ["1", "946", " APV", " ADR"], ["1", "226", " CVO", " KKI"], ["10", "513", " ESF", " CVO"], ["3", "439", " AUK", " AFO"], ["11", "908", " ANQ", " ATO"], ["1", "44", " CVO", " ACV"], ["11", "1078", " ALZ", " ADG"], ["3", "438", " AFO", " AUK"], ["12", "326", " ATO", " AOS"], ["1", "947", " ADR", " APV"], ["7", "663", " AKO", " ATS"], ["7", "662", " ATS", " AKO"], ["9", "828", " ADG", " HMN"], ["2", "903", " OTS", " AKO"], ["12", "957", " ABL", " AKO"], ["3", "905", " ANV", " APV"], ["1", "91", " ABR", " ATO"], ["9", "158", " AKO", " AQY"], ["9", "159", " AQY", " AKO"], ["9", "829", " HMN", " ADG"], ["1", "424", " ADG", " AOS"], ["1", "425", " AOS", " ADG"], ["7", "571", " ADG", " OTS"], ["11", "1178", " KQA", " AFO"], ["8", "1281", " AET", " ATO"], ["1", "1068", " APN", " ALB"], ["11", "1179", " AFO", " KQA"], ["5", "1089", " AKO", " ANV"], ["6", "478", " APG", " AEL"], ["3", "904", " APV", " ANV"], ["2", "747", " AST", " ANC"], ["12", "956", " AKO", " ABL"], ["2", "902", " AKO", " OTS"], ["5", "1088", " ANV", " AKO"], ["1", "709", " AFO", " AXB"], ["3", "1275", " AFO", " ASY"], ["11", "505", " AKO", " AAF"], ["6", "479", " AEL", " APG"], ["2", "1077", " ABQ", " AXG"], ["1", "560", " AHF", " ATO"], ["4", "297", " AFO", " AIV"], ["4", "296", " AIV", " AFO"], ["5", "135", " ADT", " AFO"], ["7", "570", " OTS", " ADG"], ["6", "28", " ABQ", " APG"], ["1", "708", " AXB", " AFO"], ["7", "855", " APN", " KQA"], ["11", "741", " OTS", " AXG"], ["11", "135", " ADG", " NDV"], ["2", "841", " ADT", " NGZ"], ["5", "134", " AFO", " ADT"], ["11", "142", " AXS", " APG"], ["6", "29", " APG", " ABQ"], ["2", "64", " VJI", " AOS"], ["7", "792", " AIA", " NGZ"], ["10", "1117", " AFO", " ANI"], ["1", "1069", " ALB", " APN"], ["6", "741", " AXG", " HMN"], ["3", "1191", " ADG", " AXX"], ["8", "737", " ABQ", " ACV"], ["11", "134", " NDV", " ADG"], ["10", "1391", " ABL", " ADG"], ["7", "854", " KQA", " APN"], ["7", "337", " AUK", " AXG"], ["7", "793", " NGZ", " AIA"], ["1", "28", " APG", " ASY"], ["1", "29", " ASY", " APG"], ["4", "1162", " ANW", " AKO"], ["5", "432", " APV", " TDW"], ["2", "1076", " AXG", " ABQ"], ["1", "1275", " APG", " ALS"], ["3", "1274", " ASY", " AFO"], ["11", "504", " AAF", " AKO"], ["4", "1163", " AKO", " ANW"], ["3", "589", " WKK", " AKO"], ["2", "427", " AMN", " AFO"], ["7", "409", " ADG", " AMN"], ["1", "1274", " ALS", " APG"], ["4", "359", " AMN", " ADG"], ["1", "1145", " AMW", " AIA"], ["3", "101", " APG", " AXN"], ["3", "588", " AKO", " WKK"]]	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 airlines have departures from CVO but not from APG airports?	[]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["10", "AirTran Airways", "AirTran", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["1", "United Airlines", "UAL", "USA"], ["2", "US Airways", "USAir", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "737", " AMN", " QAW"], ["10", "1117", " AFO", " ANI"], ["10", "1137", " ABI", " ABL"], ["10", "1116", " ANI", " AFO"], ["10", "1182", " ATW", " ALZ"], ["10", "265", " ABI", " AIA"], ["10", "1136", " ABL", " ABI"], ["10", "601", " AKI", " ABQ"], ["10", "701", " AKI", " ANC"], ["10", "1391", " ABL", " ADG"], ["2", "747", " AST", " ANC"], ["10", "600", " ABQ", " AKI"], ["10", "891", " AXG", " AYZ"], ["10", "1390", " ADG", " ABL"], ["10", "1183", " ALZ", " ATW"], ["10", "7", " AXN", " TDW"], ["10", "700", " ANC", " AKI"], ["10", "929", " AHD", " ANB"], ["10", "264", " AIA", " ABI"], ["9", "747", " ESF", " WKK"], ["9", "1044", " AQY", " NGZ"], ["10", "1299", " ALS", " ATS"], ["10", "224", " ANI", " AIV"], ["10", "1129", " AMN", " ABI"], ["10", "934", " ABI", " AKP"], ["10", "890", " AYZ", " AXG"], ["10", "928", " ANB", " AHD"], ["10", "409", " AUK", " ANQ"], ["10", "1298", " ATS", " ALS"], ["10", "54", " KQA", " AHF"], ["10", "562", " ANW", " ATE"], ["10", "6", " TDW", " AXN"], ["10", "859", " ALB", " VJI"], ["10", "1427", " ABL", " JLH"], ["10", "1128", " ABI", " AMN"], ["10", "1257", " ADM", " AED"], ["10", "469", " APV", " AAF"], ["10", "1211", " ALB", " ANY"], ["10", "337", " ADR", " ARC"], ["10", "1357", " ATW", " AMA"], ["10", "225", " AIV", " ANI"], ["10", "408", " ANQ", " AUK"], ["10", "353", " QAW", " AYZ"], ["10", "175", " AMA", " AED"], ["10", "563", " ATE", " ANW"], ["10", "858", " VJI", " ALB"], ["10", "827", " ARB", " AHH"], ["9", "1045", " NGZ", " AQY"], ["9", "159", " AQY", " AKO"], ["9", "158", " AKO", " AQY"], ["10", "1314", " AIV", " AHF"], ["9", "748", " ATS", " RLI"], ["10", "647", " ASE", " ARB"], ["10", "1210", " ANY", " ALB"], ["10", "468", " AAF", " APV"], ["10", "651", " AEX", " ANQ"], ["9", "749", " RLI", " ATS"], ["10", "352", " AYZ", " QAW"], ["10", "1144", " AKK", " CAK"], ["11", "909", " ATO", " ANQ"], ["10", "336", " ARC", " ADR"], ["10", "784", " NGZ", " NAB"], ["10", "1426", " JLH", " ABL"], ["10", "219", " ANN", " AKO"], ["10", "603", " ADK", " AKK"], ["10", "174", " AED", " AMA"], ["10", "431", " CAK", " ADR"], ["10", "55", " AHF", " KQA"], ["10", "650", " ANQ", " AEX"], ["10", "1256", " AED", " ADM"], ["10", "1356", " AMA", " ATW"], ["10", "430", " ADR", " CAK"], ["10", "602", " AKK", " ADK"], ["4", "379", " ANQ", " WKK"], ["10", "935", " AKP", " ABI"], ["10", "218", " AKO", " ANN"], ["10", "646", " ARB", " ASE"], ["10", "144", " AXN", " RFK"], ["10", "1315", " AHF", " AIV"], ["9", "1007", " ANV", " AET"], ["9", "629", " ADT", " ANI"], ["9", "384", " ANV", " ANQ"], ["11", "908", " ANQ", " ATO"], ["9", "892", " WKK", " ANV"], ["8", "737", " ABQ", " ACV"], ["10", "736", " QAW", " AMN"], ["8", "957", " AQY", " ADK"], ["11", "1012", " ABI", " ALZ"], ["10", "1477", " ALE", " AIV"], ["4", "10", " ASY", " ATS"], ["10", "1172", " APG", " AKC"], ["9", "882", " ADT", " ALZ"], ["4", "378", " WKK", " ANQ"], ["10", "826", " AHH", " ARB"], ["11", "1013", " ALZ", " ABI"], ["9", "628", " ANI", " ADT"], ["9", "279", " AST", " AHH"], ["10", "1145", " CAK", " AKK"], ["8", "1349", " AHF", " ANI"], ["9", "894", " AAF", " AHT"], ["10", "1476", " AIV", " ALE"], ["9", "1114", " LTS", " ABI"], ["10", "145", " RFK", " AXN"], ["9", "1006", " AET", " ANV"], ["8", "1419", " ATS", " AEL"], ["9", "893", " ANV", " WKK"], ["10", "1001", " ANN", " AHN"], ["11", "1079", " ADG", " ALZ"], ["10", "1331", " NGZ", " ALM"], ["10", "820", " AHN", " ACV"], ["12", "957", " ABL", " AKO"], ["10", "1173", " AKC", " APG"], ["10", "66", " DYS", " ADT"], ["10", "67", " ADT", " DYS"], ["8", "956", " ADK", " AQY"], ["9", "883", " ALZ", " ADT"], ["9", "1061", " ADK", " AST"], ["9", "634", " AKI", " ATW"], ["10", "513", " ESF", " CVO"], ["10", "821", " ACV", " AHN"], ["10", "785", " NAB", " NGZ"], ["10", "1330", " ALM", " NGZ"], ["10", "1000", " AHN", " ANN"], ["10", "983", " ATE", " ANP"], ["11", "285", " WKK", " ABQ"], ["7", "737", " ABY", " ARX"], ["9", "62", " AYZ", " ANI"], ["9", "278", " AHH", " AST"], ["11", "1179", " AFO", " KQA"], ["10", "1071", " ARC", " ANN"], ["9", "1189", " OTS", " AHF"], ["9", "1188", " AHF", " OTS"]]	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 all airlines that have at least 10 flights.	[["AirTran Airways"], ["Allegiant Air"], ["American Airlines"], ["Continental Airlines"], ["Delta Airlines"], ["Frontier Airlines"], ["JetBlue Airways"], ["Northwest Airlines"], ["Southwest Airlines"], ["US Airways"], ["United Airlines"], ["Virgin America"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["10", "AirTran Airways", "AirTran", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["1", "United Airlines", "UAL", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "737", " AMN", " QAW"], ["10", "1299", " ALS", " ATS"], ["10", "1182", " ATW", " ALZ"], ["10", "1117", " AFO", " ANI"], ["2", "747", " AST", " ANC"], ["10", "891", " AXG", " AYZ"], ["10", "701", " AKI", " ANC"], ["10", "1390", " ADG", " ABL"], ["10", "1391", " ABL", " ADG"], ["10", "1298", " ATS", " ALS"], ["10", "601", " AKI", " ABQ"], ["10", "1183", " ALZ", " ATW"], ["10", "1116", " ANI", " AFO"], ["10", "600", " ABQ", " AKI"], ["10", "265", " ABI", " AIA"], ["10", "1137", " ABI", " ABL"], ["10", "890", " AYZ", " AXG"], ["10", "1129", " AMN", " ABI"], ["9", "747", " ESF", " WKK"], ["10", "700", " ANC", " AKI"], ["10", "7", " AXN", " TDW"], ["10", "1136", " ABL", " ABI"], ["10", "409", " AUK", " ANQ"], ["10", "859", " ALB", " VJI"], ["10", "929", " AHD", " ANB"], ["9", "1044", " AQY", " NGZ"], ["10", "264", " AIA", " ABI"], ["10", "224", " ANI", " AIV"], ["10", "6", " TDW", " AXN"], ["10", "858", " VJI", " ALB"], ["10", "1128", " ABI", " AMN"], ["10", "1257", " ADM", " AED"], ["10", "408", " ANQ", " AUK"], ["10", "651", " AEX", " ANQ"], ["10", "175", " AMA", " AED"], ["10", "934", " ABI", " AKP"], ["10", "928", " ANB", " AHD"], ["10", "54", " KQA", " AHF"], ["10", "469", " APV", " AAF"], ["10", "225", " AIV", " ANI"], ["10", "1357", " ATW", " AMA"], ["9", "1045", " NGZ", " AQY"], ["10", "1427", " ABL", " JLH"], ["10", "784", " NGZ", " NAB"], ["10", "353", " QAW", " AYZ"], ["10", "1256", " AED", " ADM"], ["9", "749", " RLI", " ATS"], ["9", "748", " ATS", " RLI"], ["10", "562", " ANW", " ATE"], ["10", "650", " ANQ", " AEX"], ["10", "647", " ASE", " ARB"], ["10", "1211", " ALB", " ANY"], ["10", "468", " AAF", " APV"], ["4", "10", " ASY", " ATS"], ["10", "603", " ADK", " AKK"], ["10", "1314", " AIV", " AHF"], ["10", "1356", " AMA", " ATW"], ["10", "174", " AED", " AMA"], ["10", "1426", " JLH", " ABL"], ["10", "736", " QAW", " AMN"], ["9", "159", " AQY", " AKO"], ["10", "646", " ARB", " ASE"], ["10", "602", " AKK", " ADK"], ["10", "563", " ATE", " ANW"], ["10", "352", " AYZ", " QAW"], ["11", "1079", " ADG", " ALZ"], ["9", "158", " AKO", " AQY"], ["10", "337", " ADR", " ARC"], ["11", "909", " ATO", " ANQ"], ["10", "1210", " ANY", " ALB"], ["10", "144", " AXN", " RFK"], ["10", "1172", " APG", " AKC"], ["10", "219", " ANN", " AKO"], ["10", "55", " AHF", " KQA"], ["10", "827", " ARB", " AHH"], ["8", "1419", " ATS", " AEL"], ["10", "1315", " AHF", " AIV"], ["10", "935", " AKP", " ABI"], ["9", "629", " ADT", " ANI"], ["10", "336", " ARC", " ADR"], ["10", "431", " CAK", " ADR"], ["11", "1012", " ABI", " ALZ"], ["9", "634", " AKI", " ATW"], ["10", "145", " RFK", " AXN"], ["10", "1144", " AKK", " CAK"], ["10", "1476", " AIV", " ALE"], ["10", "66", " DYS", " ADT"], ["9", "1007", " ANV", " AET"], ["9", "882", " ADT", " ALZ"], ["10", "430", " ADR", " CAK"], ["10", "1173", " AKC", " APG"], ["11", "908", " ANQ", " ATO"], ["10", "218", " AKO", " ANN"], ["12", "957", " ABL", " AKO"], ["10", "1331", " NGZ", " ALM"], ["9", "892", " WKK", " ANV"], ["4", "379", " ANQ", " WKK"], ["9", "1061", " ADK", " AST"], ["10", "785", " NAB", " NGZ"], ["10", "1477", " ALE", " AIV"], ["8", "957", " AQY", " ADK"], ["10", "820", " AHN", " ACV"], ["10", "1001", " ANN", " AHN"], ["9", "628", " ANI", " ADT"], ["8", "737", " ABQ", " ACV"], ["11", "1013", " ALZ", " ABI"], ["10", "821", " ACV", " AHN"], ["9", "1006", " AET", " ANV"], ["9", "883", " ALZ", " ADT"], ["10", "1330", " ALM", " NGZ"], ["9", "1114", " LTS", " ABI"], ["10", "382", " APG", " ALE"], ["12", "584", " ALZ", " ASE"], ["8", "956", " ADK", " AQY"], ["10", "826", " AHH", " ARB"], ["9", "893", " ANV", " WKK"], ["8", "1418", " AEL", " ATS"], ["9", "312", " AXG", " ALN"], ["4", "378", " WKK", " ANQ"], ["10", "383", " ALE", " APG"], ["12", "956", " AKO", " ABL"], ["10", "513", " ESF", " CVO"], ["10", "67", " ADT", " DYS"], ["9", "829", " HMN", " ADG"], ["6", "370", " WKK", " ADT"], ["11", "1179", " AFO", " KQA"], ["7", "663", " AKO", " ATS"], ["4", "564", " AYZ", " AED"], ["9", "384", " ANV", " ANQ"], ["1", "889", " ANW", " ALZ"], ["9", "313", " ALN", " AXG"], ["12", "326", " ATO", " AOS"]]	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 airlines have at least 10 flights?	[["AirTran Airways"], ["Allegiant Air"], ["American Airlines"], ["Continental Airlines"], ["Delta Airlines"], ["Frontier Airlines"], ["JetBlue Airways"], ["Northwest Airlines"], ["Southwest Airlines"], ["US Airways"], ["United Airlines"], ["Virgin America"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["3", "Delta Airlines", "Delta", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["2", "US Airways", "USAir", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["1", "United Airlines", "UAL", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["7", "737", " ABY", " ARX"], ["7", "792", " AIA", " NGZ"], ["8", "737", " ABQ", " ACV"], ["8", "1349", " AHF", " ANI"], ["8", "1419", " ATS", " AEL"], ["7", "721", " KQA", " AED"], ["7", "316", " AST", " AKI"], ["7", "250", " AXS", " ATS"], ["7", "662", " ATS", " AKO"], ["7", "793", " NGZ", " AIA"], ["7", "118", " AKK", " ANW"], ["9", "747", " ESF", " WKK"], ["7", "663", " AKO", " ATS"], ["2", "1077", " ABQ", " AXG"], ["1", "199", " AAF", " NGZ"], ["10", "737", " AMN", " QAW"], ["7", "370", " QAW", " ATW"], ["3", "26", " VJI", " ATW"], ["3", "862", " LTS", " RLI"], ["7", "722", " AST", " CAK"], ["8", "1418", " AEL", " ATS"], ["12", "957", " ABL", " AKO"], ["3", "27", " ATW", " VJI"], ["9", "159", " AQY", " AKO"], ["7", "188", " AND", " ALZ"], ["2", "673", " ABL", " ANV"], ["8", "640", " ABQ", " AOS"], ["9", "1007", " ANV", " AET"], ["1", "1329", " LTS", " RLI"], ["10", "700", " ANC", " AKI"], ["7", "317", " AKI", " AST"], ["8", "1348", " ANI", " AHF"], ["1", "142", " ALI", " AKC"], ["7", "720", " AED", " KQA"], ["7", "723", " CAK", " AST"], ["7", "844", " MMI", " AOS"], ["10", "1117", " AFO", " ANI"], ["2", "887", " ABY", " ANW"], ["12", "326", " ATO", " AOS"], ["7", "230", " NGZ", " ABY"], ["12", "767", " AND", " RLI"], ["7", "121", " ALX", " AKI"], ["7", "670", " ANA", " ADR"], ["7", "371", " ATW", " QAW"], ["8", "1377", " ASE", " WKK"], ["7", "1081", " AGN", " AHF"], ["9", "748", " ATS", " RLI"], ["2", "1377", " APG", " ALI"], ["2", "1374", " ALI", " AMW"], ["9", "1114", " LTS", " ABI"], ["2", "672", " ANV", " ABL"], ["7", "337", " AUK", " AXG"], ["7", "857", " TDW", " LTS"], ["7", "119", " ANW", " AKK"], ["7", "1097", " EDF", " ABI"], ["2", "1375", " AMW", " ALI"], ["10", "1137", " ABI", " ABL"], ["8", "1347", " ESF", " AND"], ["2", "384", " AOS", " AGN"], ["7", "671", " ADR", " ANA"], ["1", "143", " AKC", " ALI"], ["3", "1187", " AET", " ANB"], ["7", "571", " ADG", " OTS"], ["8", "957", " AQY", " ADK"], ["7", "856", " LTS", " TDW"], ["9", "749", " RLI", " ATS"], ["7", "542", " WKK", " ANC"], ["12", "1377", " LTS", " ALE"], ["6", "179", " ALI", " ABQ"], ["7", "1031", " AXS", " AED"], ["3", "962", " NGZ", " ALI"], ["9", "158", " AKO", " AQY"], ["7", "754", " ABR", " MMI"], ["7", "949", " OTS", " AKK"], ["1", "1167", " AAF", " ABQ"], ["7", "561", " ASE", " ATW"], ["7", "44", " AKI", " ABR"], ["2", "903", " OTS", " AKO"], ["1", "1062", " AQY", " AFO"], ["11", "200", " ANC", " AIK"], ["4", "902", " NGZ", " ANQ"], ["1", "1328", " RLI", " LTS"], ["7", "251", " ATS", " AXS"], ["7", "77", " ABL", " ARB"], ["7", "1127", " ESF", " AKI"], ["2", "902", " AKO", " OTS"], ["7", "231", " ABY", " NGZ"], ["3", "863", " RLI", " LTS"], ["7", "336", " AXG", " AUK"], ["12", "327", " AOS", " ATO"], ["3", "335", " ATW", " ALI"], ["7", "45", " ABR", " AKI"], ["9", "1044", " AQY", " NGZ"], ["6", "210", " AXG", " AQY"], ["12", "1127", " ABY", " RLI"], ["4", "166", " AAF", " AKI"], ["11", "1012", " ABI", " ALZ"], ["3", "460", " RLI", " AHD"], ["2", "385", " AGN", " AOS"], ["7", "614", " AIA", " AMW"], ["8", "1232", " NDV", " AKI"], ["9", "121", " AMA", " ABI"], ["4", "379", " ANQ", " WKK"], ["1", "627", " AEL", " AKI"], ["7", "570", " OTS", " ADG"], ["7", "454", " KQA", " ADK"], ["11", "909", " ATO", " ANQ"], ["7", "845", " AOS", " MMI"], ["10", "1182", " ATW", " ALZ"], ["4", "378", " WKK", " ANQ"], ["9", "882", " ADT", " ALZ"], ["6", "162", " NDV", " AOS"], ["6", "178", " ABQ", " ALI"], ["1", "148", " HMN", " ABL"], ["7", "543", " ANC", " WKK"], ["2", "1076", " AXG", " ABQ"], ["9", "892", " WKK", " ANV"], ["9", "384", " ANV", " ANQ"], ["12", "956", " AKO", " ABL"], ["7", "69", " AFO", " EDF"], ["3", "627", " ANV", " KQA"], ["7", "948", " AKK", " OTS"], ["12", "1057", " ADR", " ALN"], ["12", "121", " ADK", " ASY"], ["11", "134", " NDV", " ADG"], ["12", "1107", " AIB", " RLI"], ["10", "265", " ABI", " AIA"], ["7", "812", " AND", " AXN"], ["4", "564", " AYZ", " AED"], ["11", "908", " ANQ", " ATO"], ["7", "1096", " ABI", " EDF"], ["11", "1179", " AFO", " KQA"]]	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 all airlines that have fewer than 200 flights.	[["AirTran Airways"], ["Allegiant Air"], ["American Airlines"], ["Continental Airlines"], ["Delta Airlines"], ["Frontier Airlines"], ["JetBlue Airways"], ["Northwest Airlines"], ["Southwest Airlines"], ["US Airways"], ["United Airlines"], ["Virgin America"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["3", "Delta Airlines", "Delta", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["1", "United Airlines", "UAL", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["8", "1419", " ATS", " AEL"], ["7", "250", " AXS", " ATS"], ["7", "662", " ATS", " AKO"], ["7", "792", " AIA", " NGZ"], ["7", "721", " KQA", " AED"], ["3", "26", " VJI", " ATW"], ["3", "862", " LTS", " RLI"], ["7", "663", " AKO", " ATS"], ["7", "737", " ABY", " ARX"], ["2", "1077", " ABQ", " AXG"], ["3", "27", " ATW", " VJI"], ["1", "199", " AAF", " NGZ"], ["8", "1418", " AEL", " ATS"], ["7", "793", " NGZ", " AIA"], ["12", "957", " ABL", " AKO"], ["10", "737", " AMN", " QAW"], ["12", "326", " ATO", " AOS"], ["8", "1349", " AHF", " ANI"], ["1", "1329", " LTS", " RLI"], ["2", "673", " ABL", " ANV"], ["8", "737", " ABQ", " ACV"], ["7", "1031", " AXS", " AED"], ["2", "1375", " AMW", " ALI"], ["7", "316", " AST", " AKI"], ["7", "230", " NGZ", " ABY"], ["7", "670", " ANA", " ADR"], ["3", "962", " NGZ", " ALI"], ["2", "1377", " APG", " ALI"], ["2", "384", " AOS", " AGN"], ["10", "700", " ANC", " AKI"], ["2", "887", " ABY", " ANW"], ["12", "767", " AND", " RLI"], ["3", "1187", " AET", " ANB"], ["2", "672", " ANV", " ABL"], ["2", "903", " OTS", " AKO"], ["7", "671", " ADR", " ANA"], ["1", "142", " ALI", " AKC"], ["9", "1007", " ANV", " AET"], ["12", "1377", " LTS", " ALE"], ["7", "844", " MMI", " AOS"], ["7", "337", " AUK", " AXG"], ["7", "188", " AND", " ALZ"], ["2", "1374", " ALI", " AMW"], ["3", "863", " RLI", " LTS"], ["12", "327", " AOS", " ATO"], ["7", "118", " AKK", " ANW"], ["7", "370", " QAW", " ATW"], ["12", "1057", " ADR", " ALN"], ["9", "747", " ESF", " WKK"], ["2", "385", " AGN", " AOS"], ["2", "902", " AKO", " OTS"], ["1", "143", " AKC", " ALI"], ["7", "720", " AED", " KQA"], ["7", "1081", " AGN", " AHF"], ["7", "571", " ADG", " OTS"], ["11", "1012", " ABI", " ALZ"], ["7", "1030", " AED", " AXS"], ["11", "1079", " ADG", " ALZ"], ["1", "1328", " RLI", " LTS"], ["7", "251", " ATS", " AXS"], ["10", "1117", " AFO", " ANI"], ["4", "902", " NGZ", " ANQ"], ["10", "1182", " ATW", " ALZ"], ["12", "891", " ALS", " ATO"], ["7", "561", " ASE", " ATW"], ["12", "1107", " AIB", " RLI"], ["9", "159", " AQY", " AKO"], ["7", "857", " TDW", " LTS"], ["7", "336", " AXG", " AUK"], ["7", "754", " ABR", " MMI"], ["7", "371", " ATW", " QAW"], ["9", "749", " RLI", " ATS"], ["4", "564", " AYZ", " AED"], ["9", "748", " ATS", " RLI"], ["2", "670", " KKI", " ATS"], ["7", "317", " AKI", " AST"], ["6", "210", " AXG", " AQY"], ["7", "121", " ALX", " AKI"], ["9", "1114", " LTS", " ABI"], ["12", "584", " ALZ", " ASE"], ["7", "570", " OTS", " ADG"], ["8", "957", " AQY", " ADK"], ["11", "704", " ADR", " AKI"], ["7", "1097", " EDF", " ABI"], ["8", "1348", " ANI", " AHF"], ["6", "709", " ALI", " ANB"], ["7", "845", " AOS", " MMI"], ["1", "1062", " AQY", " AFO"], ["3", "460", " RLI", " AHD"], ["2", "65", " AOS", " VJI"], ["11", "200", " ANC", " AIK"], ["4", "565", " AED", " AYZ"], ["3", "397", " ASX", " AED"], ["1", "627", " AEL", " AKI"], ["2", "467", " AGN", " ARB"], ["12", "1127", " ABY", " RLI"], ["10", "1391", " ABL", " ADG"], ["2", "840", " NGZ", " ADT"], ["8", "640", " ABQ", " AOS"], ["10", "1299", " ALS", " ATS"], ["7", "856", " LTS", " TDW"], ["7", "722", " AST", " CAK"], ["3", "335", " ATW", " ALI"], ["2", "427", " AMN", " AFO"], ["2", "1076", " AXG", " ABQ"], ["2", "841", " ADT", " NGZ"], ["12", "956", " AKO", " ABL"], ["10", "1390", " ADG", " ABL"], ["7", "409", " ADG", " AMN"], ["3", "963", " ALI", " NGZ"], ["11", "909", " ATO", " ANQ"], ["10", "1257", " ADM", " AED"], ["3", "1011", " AST", " CVO"], ["7", "723", " CAK", " AST"], ["8", "1377", " ASE", " WKK"], ["4", "35", " ATS", " ADR"], ["6", "250", " AXX", " AED"], ["6", "971", " AOS", " ASE"], ["3", "240", " AKC", " MMI"], ["10", "1137", " ABI", " ABL"], ["4", "200", " ADT", " EDF"], ["7", "614", " AIA", " AMW"], ["1", "148", " HMN", " ABL"], ["9", "882", " ADT", " ALZ"], ["7", "854", " KQA", " APN"], ["9", "1044", " AQY", " NGZ"], ["2", "125", " ALZ", " OTS"], ["7", "542", " WKK", " ANC"], ["2", "746", " ANC", " AST"], ["4", "903", " ANQ", " NGZ"], ["6", "179", " ALI", " ABQ"], ["2", "989", " ADG", " ALS"]]	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 airlines have less than 200 flights?	[["AirTran Airways"], ["Allegiant Air"], ["American Airlines"], ["Continental Airlines"], ["Delta Airlines"], ["Frontier Airlines"], ["JetBlue Airways"], ["Northwest Airlines"], ["Southwest Airlines"], ["US Airways"], ["United Airlines"], ["Virgin America"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["1", "United Airlines", "UAL", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["5", "American Airlines", "American", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"], ["1", "1329", " LTS", " RLI"], ["9", "617", " AND", " HMN"], ["9", "616", " HMN", " AND"], ["9", "748", " ATS", " RLI"], ["9", "1091", " HMN", " CVO"], ["9", "1114", " LTS", " ABI"], ["9", "1115", " ABI", " LTS"], ["9", "749", " RLI", " ATS"], ["9", "1090", " CVO", " HMN"], ["9", "468", " HMN", " AHD"], ["9", "828", " ADG", " HMN"], ["9", "829", " HMN", " ADG"], ["1", "829", " EDF", " HMN"], ["3", "862", " LTS", " RLI"], ["1", "1328", " RLI", " LTS"], ["9", "747", " ESF", " WKK"], ["12", "891", " ALS", " ATO"], ["11", "835", " AXN", " ATS"], ["9", "469", " AHD", " HMN"], ["10", "737", " AMN", " QAW"], ["1", "1209", " MMI", " NAB"], ["6", "971", " AOS", " ASE"], ["5", "1011", " LTS", " RLI"], ["12", "890", " ATO", " ALS"], ["6", "671", " HMN", " AYZ"], ["12", "1057", " ADR", " ALN"], ["11", "110", " AXS", " AMW"], ["10", "1299", " ALS", " ATS"], ["11", "1079", " ADG", " ALZ"], ["8", "469", " AGN", " HMN"], ["6", "371", " ADT", " WKK"], ["1", "828", " HMN", " EDF"], ["12", "1005", " LTS", " CAK"], ["6", "670", " AYZ", " HMN"], ["12", "450", " ALB", " HMN"], ["12", "368", " LTS", " ANB"], ["11", "834", " ATS", " AXN"], ["12", "1107", " AIB", " RLI"], ["9", "1007", " ANV", " AET"], ["1", "149", " ABL", " HMN"], ["11", "909", " ATO", " ANQ"], ["9", "892", " WKK", " ANV"], ["4", "1207", " NDV", " AXN"], ["12", "1106", " RLI", " AIB"], ["12", "1056", " ALN", " ADR"], ["6", "370", " WKK", " ADT"], ["3", "461", " AHD", " RLI"], ["9", "882", " ADT", " ALZ"], ["8", "909", " ABR", " MMI"], ["9", "1006", " AET", " ANV"], ["12", "821", " ANW", " ALN"], ["4", "1206", " AXN", " NDV"], ["12", "767", " AND", " RLI"], ["9", "893", " ANV", " WKK"], ["11", "1013", " ALZ", " ABI"], ["1", "997", " AXS", " AXG"], ["8", "1419", " ATS", " AEL"], ["3", "1011", " AST", " CVO"], ["12", "369", " ANB", " LTS"], ["6", "1013", " VJI", " AXS"], ["11", "825", " ANW", " ABI"], ["10", "1298", " ATS", " ALS"], ["12", "971", " ADM", " AST"], ["3", "863", " RLI", " LTS"], ["7", "813", " AXN", " AND"], ["1", "1208", " NAB", " MMI"], ["3", "1141", " ALB", " ATW"], ["10", "1129", " AMN", " ABI"], ["3", "1041", " OTS", " AHF"], ["11", "986", " MMI", " AIB"], ["4", "379", " ANQ", " WKK"], ["6", "741", " AXG", " HMN"], ["7", "1031", " AXS", " AED"], ["11", "566", " LTS", " AET"], ["9", "943", " MMI", " ABI"], ["11", "575", " LTS", " ADK"], ["1", "996", " AXG", " AXS"], ["11", "908", " ANQ", " ATO"], ["11", "1012", " ABI", " ALZ"], ["12", "1377", " LTS", " ALE"], ["9", "225", " AHF", " ASY"], ["3", "1140", " ATW", " ALB"], ["9", "635", " ATW", " AKI"], ["12", "327", " AOS", " ATO"], ["9", "883", " ALZ", " ADT"], ["9", "313", " ALN", " AXG"], ["7", "856", " LTS", " TDW"], ["9", "942", " ABI", " MMI"], ["9", "1188", " AHF", " OTS"], ["11", "877", " AXX", " KQA"], ["11", "987", " AIB", " MMI"], ["12", "820", " ALN", " ANW"], ["9", "628", " ANI", " ADT"], ["1", "109", " MMI", " ANV"], ["12", "1023", " AHN", " AKI"], ["8", "1233", " AKI", " NDV"], ["5", "1010", " RLI", " LTS"], ["9", "629", " ADT", " ANI"], ["7", "250", " AXS", " ATS"], ["12", "766", " RLI", " AND"], ["12", "1022", " AKI", " AHN"], ["8", "468", " HMN", " AGN"], ["11", "111", " AMW", " AXS"], ["6", "373", " MMI", " ATE"], ["8", "671", " CVO", " ASY"], ["8", "1418", " AEL", " ATS"], ["8", "737", " ABQ", " ACV"], ["3", "1010", " CVO", " AST"], ["7", "793", " NGZ", " AIA"], ["4", "378", " WKK", " ANQ"], ["3", "26", " VJI", " ATW"], ["6", "1012", " AXS", " VJI"], ["11", "1078", " ALZ", " ADG"], ["1", "1145", " AMW", " AIA"], ["12", "451", " HMN", " ALB"], ["11", "876", " KQA", " AXX"], ["3", "460", " RLI", " AHD"], ["2", "841", " ADT", " NGZ"], ["12", "1127", " ABY", " RLI"], ["9", "1189", " OTS", " AHF"], ["8", "1232", " NDV", " AKI"], ["12", "1004", " CAK", " LTS"], ["3", "335", " ATW", " ALI"], ["7", "855", " APN", " KQA"], ["7", "737", " ABY", " ARX"], ["9", "1061", " ADK", " AST"], ["9", "634", " AKI", " ATW"], ["9", "1045", " NGZ", " AQY"], ["1", "1069", " ALB", " APN"], ["11", "824", " ABI", " ANW"], ["10", "1182", " ATW", " ALZ"], ["1", "148", " HMN", " ABL"]]	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 flight numbers of Airline "United Airlines"?	[["28"], ["29"], ["44"], ["45"], ["54"], ["55"], ["90"], ["91"], ["108"], ["109"], ["142"], ["143"], ["148"], ["149"], ["198"], ["199"], ["226"], ["227"], ["276"], ["277"], ["308"], ["309"], ["326"], ["327"], ["370"], ["371"], ["414"], ["415"], ["424"], ["425"], ["470"], ["471"], ["520"], ["521"], ["556"], ["557"], ["560"], ["561"], ["604"], ["605"], ["608"], ["609"], ["626"], ["627"], ["658"], ["659"], ["708"], ["709"], ["744"], ["745"], ["754"], ["755"], ["786"], ["787"], ["810"], ["811"], ["828"], ["829"], ["878"], ["879"], ["888"], ["889"], ["900"], ["901"], ["924"], ["925"], ["946"], ["947"], ["996"], ["997"], ["1000"], ["1001"], ["1026"], ["1027"], ["1062"], ["1063"], ["1068"], ["1069"], ["1100"], ["1101"], ["1144"], ["1145"], ["1166"], ["1167"], ["1168"], ["1169"], ["1192"], ["1193"], ["1208"], ["1209"], ["1216"], ["1217"], ["1250"], ["1251"], ["1274"], ["1275"], ["1284"], ["1285"], ["1328"], ["1329"]]	2,048	Answer:
Table AIRLINES: [["uid", "Airline", "Abbreviation", "Country"], ["1", "United Airlines", "UAL", "USA"], ["6", "Northwest Airlines", "Northwest", "USA"], ["2", "US Airways", "USAir", "USA"], ["9", "Frontier Airlines", "Frontier", "USA"], ["10", "AirTran Airways", "AirTran", "USA"], ["7", "Continental Airlines", "Continental", "USA"], ["3", "Delta Airlines", "Delta", "USA"], ["4", "Southwest Airlines", "Southwest", "USA"], ["5", "American Airlines", "American", "USA"], ["8", "JetBlue Airways", "JetBlue", "USA"], ["11", "Allegiant Air", "Allegiant", "USA"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "1115", " ABI", " LTS"], ["9", "1114", " LTS", " ABI"], ["1", "1329", " LTS", " RLI"], ["9", "617", " AND", " HMN"], ["9", "748", " ATS", " RLI"], ["9", "749", " RLI", " ATS"], ["2", "747", " AST", " ANC"], ["11", "835", " AXN", " ATS"], ["9", "829", " HMN", " ADG"], ["3", "862", " LTS", " RLI"], ["9", "616", " HMN", " AND"], ["9", "1091", " HMN", " CVO"], ["9", "828", " ADG", " HMN"], ["12", "1107", " AIB", " RLI"], ["12", "1005", " LTS", " CAK"], ["12", "368", " LTS", " ANB"], ["12", "1057", " ADR", " ALN"], ["9", "468", " HMN", " AHD"], ["1", "1209", " MMI", " NAB"], ["9", "1090", " CVO", " HMN"], ["11", "834", " ATS", " AXN"], ["11", "986", " MMI", " AIB"], ["11", "987", " AIB", " MMI"], ["9", "892", " WKK", " ANV"], ["1", "1328", " RLI", " LTS"], ["10", "737", " AMN", " QAW"], ["5", "1011", " LTS", " RLI"], ["1", "149", " ABL", " HMN"], ["11", "110", " AXS", " AMW"], ["9", "942", " ABI", " MMI"], ["8", "909", " ABR", " MMI"], ["12", "1106", " RLI", " AIB"], ["12", "971", " ADM", " AST"], ["6", "371", " ADT", " WKK"], ["9", "469", " AHD", " HMN"], ["9", "943", " MMI", " ABI"], ["12", "369", " ANB", " LTS"], ["11", "909", " ATO", " ANQ"], ["11", "1079", " ADG", " ALZ"], ["1", "829", " EDF", " HMN"], ["4", "1207", " NDV", " AXN"], ["11", "575", " LTS", " ADK"], ["12", "1056", " ALN", " ADR"], ["9", "882", " ADT", " ALZ"], ["10", "1129", " AMN", " ABI"], ["1", "1145", " AMW", " AIA"], ["12", "767", " AND", " RLI"], ["1", "1208", " NAB", " MMI"], ["9", "1007", " ANV", " AET"], ["12", "1022", " AKI", " AHN"], ["11", "825", " ANW", " ABI"], ["8", "469", " AGN", " HMN"], ["12", "327", " AOS", " ATO"], ["6", "370", " WKK", " ADT"], ["12", "891", " ALS", " ATO"], ["1", "109", " MMI", " ANV"], ["1", "997", " AXS", " AXG"], ["6", "971", " AOS", " ASE"], ["6", "373", " MMI", " ATE"], ["12", "821", " ANW", " ALN"], ["7", "793", " NGZ", " AIA"], ["9", "893", " ANV", " WKK"], ["11", "1012", " ABI", " ALZ"], ["6", "671", " HMN", " AYZ"], ["4", "1225", " MMI", " AND"], ["11", "1013", " ALZ", " ABI"], ["7", "813", " AXN", " AND"], ["11", "842", " ABR", " AXN"], ["8", "1419", " ATS", " AEL"], ["3", "863", " RLI", " LTS"], ["12", "450", " ALB", " HMN"], ["11", "908", " ANQ", " ATO"], ["4", "902", " NGZ", " ANQ"], ["9", "628", " ANI", " ADT"], ["12", "1127", " ABY", " RLI"], ["7", "845", " AOS", " MMI"], ["12", "1205", " ADM", " ARB"], ["4", "379", " ANQ", " WKK"], ["12", "1023", " AHN", " AKI"], ["6", "1013", " VJI", " AXS"], ["3", "1011", " AST", " CVO"], ["4", "378", " WKK", " ANQ"], ["1", "828", " HMN", " EDF"], ["9", "629", " ADT", " ANI"], ["12", "890", " ATO", " ALS"], ["3", "461", " AHD", " RLI"], ["1", "947", " ADR", " APV"], ["4", "903", " ANQ", " NGZ"], ["2", "1077", " ABQ", " AXG"], ["7", "792", " AIA", " NGZ"], ["8", "1418", " AEL", " ATS"], ["9", "1188", " AHF", " OTS"], ["10", "1128", " ABI", " AMN"], ["8", "908", " MMI", " ABR"], ["6", "670", " AYZ", " HMN"], ["4", "1206", " AXN", " NDV"], ["11", "843", " AXN", " ABR"], ["12", "1004", " CAK", " LTS"], ["9", "1006", " AET", " ANV"], ["2", "841", " ADT", " NGZ"], ["6", "1012", " AXS", " VJI"], ["12", "1377", " LTS", " ALE"], ["7", "812", " AND", " AXN"], ["9", "1189", " OTS", " AHF"], ["11", "513", " ABR", " ASY"], ["11", "566", " LTS", " AET"], ["7", "615", " AMW", " AIA"], ["3", "1141", " ALB", " ATW"], ["11", "330", " AXG", " LTS"], ["6", "932", " NDV", " ASY"], ["11", "877", " AXX", " KQA"], ["9", "1061", " ADK", " AST"], ["6", "741", " AXG", " HMN"], ["9", "883", " ALZ", " ADT"], ["12", "326", " ATO", " AOS"], ["3", "905", " ANV", " APV"], ["11", "437", " AND", " ABQ"], ["4", "431", " LTS", " CVO"], ["6", "372", " ATE", " MMI"], ["12", "1231", " CVO", " ANC"], ["8", "468", " HMN", " AGN"], ["11", "111", " AMW", " AXS"], ["1", "470", " ABQ", " MMI"], ["9", "312", " AXG", " ALN"], ["8", "671", " CVO", " ASY"], ["7", "857", " TDW", " LTS"], ["7", "856", " LTS", " TDW"], ["12", "615", " ADT", " QAW"], ["9", "384", " ANV", " ANQ"], ["11", "1078", " ALZ", " ADG"], ["6", "862", " ANQ", " AXX"], ["9", "423", " VJI", " AIA"], ["7", "251", " ATS", " AXS"], ["9", "895", " AHT", " AAF"]]	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 flight numbers correspond to United Airlines flights?	[["28"], ["29"], ["44"], ["45"], ["54"], ["55"], ["90"], ["91"], ["108"], ["109"], ["142"], ["143"], ["148"], ["149"], ["198"], ["199"], ["226"], ["227"], ["276"], ["277"], ["308"], ["309"], ["326"], ["327"], ["370"], ["371"], ["414"], ["415"], ["424"], ["425"], ["470"], ["471"], ["520"], ["521"], ["556"], ["557"], ["560"], ["561"], ["604"], ["605"], ["608"], ["609"], ["626"], ["627"], ["658"], ["659"], ["708"], ["709"], ["744"], ["745"], ["754"], ["755"], ["786"], ["787"], ["810"], ["811"], ["828"], ["829"], ["878"], ["879"], ["888"], ["889"], ["900"], ["901"], ["924"], ["925"], ["946"], ["947"], ["996"], ["997"], ["1000"], ["1001"], ["1026"], ["1027"], ["1062"], ["1063"], ["1068"], ["1069"], ["1100"], ["1101"], ["1144"], ["1145"], ["1166"], ["1167"], ["1168"], ["1169"], ["1192"], ["1193"], ["1208"], ["1209"], ["1216"], ["1217"], ["1250"], ["1251"], ["1274"], ["1275"], ["1284"], ["1285"], ["1328"], ["1329"]]	2,048	Answer:
Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "1377", " APG", " ALI"], ["2", "1376", " ALI", " APG"], ["6", "478", " APG", " AEL"], ["6", "479", " AEL", " APG"], ["10", "1172", " APG", " AKC"], ["4", "742", " HMN", " APG"], ["4", "743", " APG", " HMN"], ["6", "28", " ABQ", " APG"], ["11", "1079", " ADG", " ALZ"], ["10", "1173", " AKC", " APG"], ["6", "29", " APG", " ABQ"], ["2", "489", " APG", " VJI"], ["8", "836", " APN", " ALB"], ["1", "28", " APG", " ASY"], ["11", "143", " APG", " AXS"], ["1", "1068", " APN", " ALB"], ["11", "1078", " ALZ", " ADG"], ["3", "100", " AXN", " APG"], ["3", "101", " APG", " AXN"], ["1", "1069", " ALB", " APN"], ["11", "142", " AXS", " APG"], ["8", "837", " ALB", " APN"], ["2", "488", " VJI", " APG"], ["7", "855", " APN", " KQA"], ["1", "1275", " APG", " ALS"], ["1", "425", " AOS", " ADG"], ["1", "29", " ASY", " APG"], ["7", "571", " ADG", " OTS"], ["7", "854", " KQA", " APN"], ["7", "570", " OTS", " ADG"], ["10", "382", " APG", " ALE"], ["1", "1274", " ALS", " APG"], ["2", "791", " CVO", " APN"], ["9", "828", " ADG", " HMN"], ["9", "829", " HMN", " ADG"], ["1", "946", " APV", " ADR"], ["10", "383", " ALE", " APG"], ["10", "1391", " ABL", " ADG"], ["2", "790", " APN", " CVO"], ["12", "80", " AKK", " APV"], ["2", "1076", " AXG", " ABQ"], ["2", "1077", " ABQ", " AXG"], ["1", "424", " ADG", " AOS"], ["7", "409", " ADG", " AMN"], ["1", "1285", " ADG", " ADK"], ["10", "469", " APV", " AAF"], ["10", "1390", " ADG", " ABL"], ["4", "359", " AMN", " ADG"], ["6", "211", " AQY", " AXG"], ["12", "81", " APV", " AKK"], ["10", "468", " AAF", " APV"], ["1", "947", " ADR", " APV"], ["7", "408", " AMN", " ADG"], ["11", "741", " OTS", " AXG"], ["1", "1284", " ADK", " ADG"], ["7", "793", " NGZ", " AIA"], ["4", "839", " ALM", " APV"], ["7", "337", " AUK", " AXG"], ["8", "640", " ABQ", " AOS"], ["6", "210", " AXG", " AQY"], ["4", "358", " ADG", " AMN"], ["9", "313", " ALN", " AXG"], ["7", "792", " AIA", " NGZ"], ["1", "560", " AHF", " ATO"], ["12", "327", " AOS", " ATO"], ["4", "838", " APV", " ALM"], ["2", "1021", " ADG", " ANP"], ["3", "826", " ABQ", " AEL"], ["3", "439", " AUK", " AFO"], ["4", "946", " AHT", " AXG"], ["12", "947", " AKK", " AXG"], ["6", "1195", " AXG", " AAF"], ["2", "841", " ADT", " NGZ"], ["8", "1419", " ATS", " AEL"], ["12", "946", " AXG", " AKK"], ["11", "436", " ABQ", " AND"], ["1", "925", " ASX", " AXG"], ["3", "827", " AEL", " ABQ"], ["8", "1418", " AEL", " ATS"], ["2", "747", " AST", " ANC"], ["4", "947", " AXG", " AHT"], ["9", "882", " ADT", " ALZ"], ["3", "438", " AFO", " AUK"], ["11", "909", " ATO", " ANQ"], ["4", "626", " AIA", " AXG"], ["2", "1020", " ANP", " ADG"], ["11", "908", " ANQ", " ATO"], ["11", "437", " AND", " ABQ"], ["8", "641", " AOS", " ABQ"], ["11", "134", " NDV", " ADG"], ["4", "627", " AXG", " AIA"], ["11", "240", " ARC", " AXG"], ["11", "135", " ADG", " NDV"], ["5", "432", " APV", " TDW"], ["1", "1166", " ABQ", " AAF"], ["7", "336", " AXG", " AUK"], ["9", "312", " AXG", " ALN"], ["8", "421", " ADT", " AKP"], ["7", "1071", " ARB", " AET"], ["9", "748", " ATS", " RLI"], ["8", "512", " ABQ", " ADK"], ["1", "924", " AXG", " ASX"], ["12", "326", " ATO", " AOS"], ["1", "1167", " AAF", " ABQ"], ["2", "921", " ASX", " AET"], ["7", "845", " AOS", " MMI"], ["9", "883", " ALZ", " ADT"], ["3", "1191", " ADG", " AXX"], ["11", "640", " AND", " AIA"], ["11", "825", " ANW", " ABI"], ["6", "1194", " AAF", " AXG"], ["8", "1281", " AET", " ATO"], ["8", "956", " ADK", " AQY"], ["8", "957", " AQY", " ADK"], ["9", "895", " AHT", " AAF"], ["11", "705", " AKI", " ADR"], ["9", "749", " RLI", " ATS"], ["11", "566", " LTS", " AET"], ["12", "1335", " AKK", " ADT"], ["11", "1012", " ABI", " ALZ"], ["3", "334", " ALI", " ATW"], ["11", "330", " AXG", " LTS"], ["8", "420", " AKP", " ADT"], ["6", "741", " AXG", " HMN"], ["12", "957", " ABL", " AKO"], ["9", "158", " AKO", " AQY"], ["9", "580", " ADM", " ANI"], ["8", "1280", " ATO", " AET"], ["11", "1013", " ALZ", " ABI"], ["11", "241", " AXG", " ARC"], ["4", "167", " AKI", " AAF"], ["3", "922", " ASY", " AAF"], ["3", "1190", " AXX", " ADG"], ["7", "981", " AIA", " AUK"], ["1", "605", " ANN", " ADG"], ["8", "1309", " ALS", " ADG"], ["11", "641", " AIA", " AND"], ["5", "433", " TDW", " APV"], ["5", "135", " ADT", " AFO"], ["1", "604", " ADG", " ANN"], ["11", "740", " AXG", " OTS"], ["7", "295", " AKP", " AET"], ["9", "1061", " ADK", " AST"], ["9", "225", " AHF", " ASY"], ["6", "611", " AXG", " ANP"]]	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 flight numbers of flights departing from Airport "APG"?	[]	2,048	Answer:
Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["6", "479", " AEL", " APG"], ["6", "478", " APG", " AEL"], ["2", "1377", " APG", " ALI"], ["2", "1376", " ALI", " APG"], ["6", "28", " ABQ", " APG"], ["6", "29", " APG", " ABQ"], ["4", "742", " HMN", " APG"], ["4", "743", " APG", " HMN"], ["1", "28", " APG", " ASY"], ["10", "1172", " APG", " AKC"], ["10", "1173", " AKC", " APG"], ["3", "100", " AXN", " APG"], ["11", "1079", " ADG", " ALZ"], ["1", "1068", " APN", " ALB"], ["8", "836", " APN", " ALB"], ["11", "143", " APG", " AXS"], ["3", "101", " APG", " AXN"], ["7", "571", " ADG", " OTS"], ["1", "29", " ASY", " APG"], ["2", "489", " APG", " VJI"], ["11", "142", " AXS", " APG"], ["1", "425", " AOS", " ADG"], ["1", "1069", " ALB", " APN"], ["11", "1078", " ALZ", " ADG"], ["1", "1275", " APG", " ALS"], ["7", "570", " OTS", " ADG"], ["7", "855", " APN", " KQA"], ["1", "946", " APV", " ADR"], ["1", "1274", " ALS", " APG"], ["2", "488", " VJI", " APG"], ["8", "837", " ALB", " APN"], ["12", "327", " AOS", " ATO"], ["7", "854", " KQA", " APN"], ["9", "829", " HMN", " ADG"], ["10", "1391", " ABL", " ADG"], ["10", "382", " APG", " ALE"], ["9", "828", " ADG", " HMN"], ["12", "80", " AKK", " APV"], ["10", "383", " ALE", " APG"], ["2", "791", " CVO", " APN"], ["1", "424", " ADG", " AOS"], ["10", "469", " APV", " AAF"], ["6", "211", " AQY", " AXG"], ["2", "790", " APN", " CVO"], ["7", "409", " ADG", " AMN"], ["2", "1076", " AXG", " ABQ"], ["12", "81", " APV", " AKK"], ["8", "640", " ABQ", " AOS"], ["12", "326", " ATO", " AOS"], ["8", "1419", " ATS", " AEL"], ["1", "947", " ADR", " APV"], ["10", "1390", " ADG", " ABL"], ["6", "210", " AXG", " AQY"], ["10", "468", " AAF", " APV"], ["11", "741", " OTS", " AXG"], ["1", "1285", " ADG", " ADK"], ["4", "359", " AMN", " ADG"], ["8", "1418", " AEL", " ATS"], ["8", "421", " ADT", " AKP"], ["1", "1284", " ADK", " ADG"], ["4", "839", " ALM", " APV"], ["7", "408", " AMN", " ADG"], ["7", "1071", " ARB", " AET"], ["7", "793", " NGZ", " AIA"], ["11", "566", " LTS", " AET"], ["9", "882", " ADT", " ALZ"], ["2", "1077", " ABQ", " AXG"], ["5", "135", " ADT", " AFO"], ["11", "909", " ATO", " ANQ"], ["5", "432", " APV", " TDW"], ["8", "641", " AOS", " ABQ"], ["11", "135", " ADG", " NDV"], ["11", "134", " NDV", " ADG"], ["4", "946", " AHT", " AXG"], ["2", "841", " ADT", " NGZ"], ["3", "826", " ABQ", " AEL"], ["11", "436", " ABQ", " AND"], ["1", "560", " AHF", " ATO"], ["1", "1166", " ABQ", " AAF"], ["2", "747", " AST", " ANC"], ["7", "792", " AIA", " NGZ"], ["3", "1186", " ANB", " AET"], ["9", "313", " ALN", " AXG"], ["7", "337", " AUK", " AXG"], ["5", "134", " AFO", " ADT"], ["4", "838", " APV", " ALM"], ["11", "908", " ANQ", " ATO"], ["4", "358", " ADG", " AMN"], ["7", "845", " AOS", " MMI"], ["9", "749", " RLI", " ATS"], ["9", "748", " ATS", " RLI"], ["5", "433", " TDW", " APV"], ["11", "437", " AND", " ABQ"], ["8", "1281", " AET", " ATO"], ["9", "883", " ALZ", " ADT"], ["9", "1006", " AET", " ANV"], ["3", "162", " AIK", " ADT"], ["11", "158", " AHT", " ANV"], ["7", "295", " AKP", " AET"], ["6", "1195", " AXG", " AAF"], ["1", "1167", " AAF", " ABQ"], ["11", "241", " AXG", " ARC"], ["4", "947", " AXG", " AHT"], ["9", "1061", " ADK", " AST"], ["7", "316", " AST", " AKI"], ["3", "439", " AUK", " AFO"], ["11", "240", " ARC", " AXG"], ["12", "614", " QAW", " ADT"], ["6", "371", " ADT", " WKK"], ["7", "844", " MMI", " AOS"], ["9", "629", " ADT", " ANI"], ["9", "895", " AHT", " AAF"], ["3", "827", " AEL", " ABQ"], ["12", "851", " AET", " ARC"], ["7", "317", " AKI", " AST"], ["1", "561", " ATO", " AHF"], ["8", "420", " AKP", " ADT"], ["7", "115", " ADK", " ARB"], ["12", "1056", " ALN", " ADR"], ["6", "1194", " AAF", " AXG"], ["9", "225", " AHF", " ASY"], ["3", "1187", " AET", " ANB"], ["6", "1071", " ABR", " ADK"], ["8", "1309", " ALS", " ADG"], ["1", "91", " ABR", " ATO"], ["11", "567", " AET", " LTS"], ["11", "80", " AET", " AXB"], ["9", "894", " AAF", " AHT"], ["6", "741", " AXG", " HMN"], ["8", "1280", " ATO", " AET"], ["12", "1335", " AKK", " ADT"], ["9", "628", " ANI", " ADT"], ["7", "336", " AXG", " AUK"], ["8", "512", " ABQ", " ADK"], ["3", "1041", " OTS", " AHF"], ["11", "81", " AXB", " AET"], ["7", "663", " AKO", " ATS"], ["8", "513", " ADK", " ABQ"], ["12", "946", " AXG", " AKK"], ["8", "956", " ADK", " AQY"], ["1", "1329", " LTS", " RLI"], ["9", "312", " AXG", " ALN"], ["12", "615", " ADT", " QAW"], ["9", "158", " AKO", " AQY"]]	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 flight numbers of flights leaving from APG.	[]	2,048	Answer:
Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "1377", " APG", " ALI"], ["2", "1376", " ALI", " APG"], ["6", "478", " APG", " AEL"], ["10", "1172", " APG", " AKC"], ["6", "479", " AEL", " APG"], ["10", "1173", " AKC", " APG"], ["6", "28", " ABQ", " APG"], ["4", "743", " APG", " HMN"], ["4", "742", " HMN", " APG"], ["11", "1079", " ADG", " ALZ"], ["6", "29", " APG", " ABQ"], ["8", "836", " APN", " ALB"], ["11", "143", " APG", " AXS"], ["2", "489", " APG", " VJI"], ["3", "101", " APG", " AXN"], ["3", "100", " AXN", " APG"], ["1", "28", " APG", " ASY"], ["1", "1068", " APN", " ALB"], ["11", "1078", " ALZ", " ADG"], ["7", "855", " APN", " KQA"], ["11", "142", " AXS", " APG"], ["1", "425", " AOS", " ADG"], ["8", "837", " ALB", " APN"], ["1", "1069", " ALB", " APN"], ["2", "488", " VJI", " APG"], ["1", "1275", " APG", " ALS"], ["1", "29", " ASY", " APG"], ["7", "854", " KQA", " APN"], ["7", "571", " ADG", " OTS"], ["10", "382", " APG", " ALE"], ["2", "791", " CVO", " APN"], ["7", "570", " OTS", " ADG"], ["10", "383", " ALE", " APG"], ["9", "828", " ADG", " HMN"], ["9", "829", " HMN", " ADG"], ["12", "80", " AKK", " APV"], ["1", "946", " APV", " ADR"], ["2", "1076", " AXG", " ABQ"], ["2", "1077", " ABQ", " AXG"], ["2", "790", " APN", " CVO"], ["1", "1274", " ALS", " APG"], ["1", "424", " ADG", " AOS"], ["10", "1391", " ABL", " ADG"], ["1", "560", " AHF", " ATO"], ["1", "1285", " ADG", " ADK"], ["10", "469", " APV", " AAF"], ["6", "211", " AQY", " AXG"], ["7", "409", " ADG", " AMN"], ["12", "81", " APV", " AKK"], ["4", "359", " AMN", " ADG"], ["3", "826", " ABQ", " AEL"], ["8", "640", " ABQ", " AOS"], ["11", "741", " OTS", " AXG"], ["10", "468", " AAF", " APV"], ["11", "240", " ARC", " AXG"], ["3", "827", " AEL", " ABQ"], ["12", "327", " AOS", " ATO"], ["11", "436", " ABQ", " AND"], ["7", "408", " AMN", " ADG"], ["6", "210", " AXG", " AQY"], ["1", "1284", " ADK", " ADG"], ["7", "793", " NGZ", " AIA"], ["10", "1390", " ADG", " ABL"], ["2", "1021", " ADG", " ANP"], ["3", "439", " AUK", " AFO"], ["11", "908", " ANQ", " ATO"], ["11", "825", " ANW", " ABI"], ["6", "1195", " AXG", " AAF"], ["1", "947", " ADR", " APV"], ["4", "839", " ALM", " APV"], ["4", "358", " ADG", " AMN"], ["1", "925", " ASX", " AXG"], ["11", "909", " ATO", " ANQ"], ["4", "626", " AIA", " AXG"], ["7", "337", " AUK", " AXG"], ["11", "437", " AND", " ABQ"], ["4", "838", " APV", " ALM"], ["7", "792", " AIA", " NGZ"], ["8", "1419", " ATS", " AEL"], ["4", "627", " AXG", " AIA"], ["2", "841", " ADT", " NGZ"], ["11", "640", " AND", " AIA"], ["3", "438", " AFO", " AUK"], ["4", "946", " AHT", " AXG"], ["8", "1418", " AEL", " ATS"], ["12", "947", " AKK", " AXG"], ["12", "946", " AXG", " AKK"], ["8", "641", " AOS", " ABQ"], ["9", "313", " ALN", " AXG"], ["11", "241", " AXG", " ARC"], ["8", "512", " ABQ", " ADK"], ["2", "1020", " ANP", " ADG"], ["1", "924", " AXG", " ASX"], ["8", "1281", " AET", " ATO"], ["3", "334", " ALI", " ATW"], ["3", "1191", " ADG", " AXX"], ["2", "747", " AST", " ANC"], ["12", "326", " ATO", " AOS"], ["11", "1013", " ALZ", " ABI"], ["1", "1166", " ABQ", " AAF"], ["4", "947", " AXG", " AHT"], ["11", "705", " AKI", " ADR"], ["11", "641", " AIA", " AND"], ["11", "1012", " ABI", " ALZ"], ["1", "91", " ABR", " ATO"], ["7", "336", " AXG", " AUK"], ["4", "167", " AKI", " AAF"], ["11", "135", " ADG", " NDV"], ["2", "921", " ASX", " AET"], ["6", "1194", " AAF", " AXG"], ["11", "1179", " AFO", " KQA"], ["11", "80", " AET", " AXB"], ["1", "1167", " AAF", " ABQ"], ["8", "421", " ADT", " AKP"], ["11", "330", " AXG", " LTS"], ["11", "134", " NDV", " ADG"], ["11", "505", " AKO", " AAF"], ["11", "824", " ABI", " ANW"], ["1", "561", " ATO", " AHF"], ["3", "922", " ASY", " AAF"], ["7", "981", " AIA", " AUK"], ["3", "1190", " AXX", " ADG"], ["8", "833", " MMI", " AAF"], ["8", "1280", " ATO", " AET"], ["9", "882", " ADT", " ALZ"], ["11", "986", " MMI", " AIB"], ["11", "835", " AXN", " ATS"], ["11", "704", " ADR", " AKI"], ["7", "1071", " ARB", " AET"], ["8", "832", " AAF", " MMI"], ["11", "566", " LTS", " AET"], ["7", "845", " AOS", " MMI"], ["5", "432", " APV", " TDW"], ["11", "740", " AXG", " OTS"], ["8", "956", " ADK", " AQY"], ["8", "957", " AQY", " ADK"], ["12", "957", " ABL", " AKO"], ["8", "1086", " EDF", " AFO"], ["9", "748", " ATS", " RLI"], ["9", "312", " AXG", " ALN"], ["8", "420", " AKP", " ADT"], ["1", "605", " ANN", " ADG"], ["12", "1335", " AKK", " ADT"], ["9", "895", " AHT", " AAF"], ["9", "225", " AHF", " ASY"]]	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 flight numbers of flights arriving at Airport "APG"?	[]	2,048	Answer:
Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["6", "28", " ABQ", " APG"], ["2", "1376", " ALI", " APG"], ["6", "29", " APG", " ABQ"], ["2", "1377", " APG", " ALI"], ["6", "478", " APG", " AEL"], ["4", "742", " HMN", " APG"], ["4", "743", " APG", " HMN"], ["6", "479", " AEL", " APG"], ["1", "425", " AOS", " ADG"], ["1", "28", " APG", " ASY"], ["10", "1172", " APG", " AKC"], ["10", "1173", " AKC", " APG"], ["8", "836", " APN", " ALB"], ["3", "100", " AXN", " APG"], ["3", "101", " APG", " AXN"], ["11", "1079", " ADG", " ALZ"], ["1", "1068", " APN", " ALB"], ["11", "143", " APG", " AXS"], ["1", "29", " ASY", " APG"], ["1", "946", " APV", " ADR"], ["7", "571", " ADG", " OTS"], ["2", "489", " APG", " VJI"], ["11", "142", " AXS", " APG"], ["11", "1078", " ALZ", " ADG"], ["1", "1069", " ALB", " APN"], ["7", "570", " OTS", " ADG"], ["1", "1275", " APG", " ALS"], ["2", "488", " VJI", " APG"], ["1", "1274", " ALS", " APG"], ["8", "640", " ABQ", " AOS"], ["12", "327", " AOS", " ATO"], ["9", "829", " HMN", " ADG"], ["1", "424", " ADG", " AOS"], ["9", "828", " ADG", " HMN"], ["8", "837", " ALB", " APN"], ["7", "855", " APN", " KQA"], ["2", "1076", " AXG", " ABQ"], ["12", "80", " AKK", " APV"], ["7", "854", " KQA", " APN"], ["1", "560", " AHF", " ATO"], ["8", "1419", " ATS", " AEL"], ["12", "326", " ATO", " AOS"], ["10", "1391", " ABL", " ADG"], ["8", "641", " AOS", " ABQ"], ["3", "826", " ABQ", " AEL"], ["4", "839", " ALM", " APV"], ["1", "1284", " ADK", " ADG"], ["8", "1418", " AEL", " ATS"], ["12", "81", " APV", " AKK"], ["11", "436", " ABQ", " AND"], ["4", "838", " APV", " ALM"], ["1", "947", " ADR", " APV"], ["1", "91", " ABR", " ATO"], ["2", "791", " CVO", " APN"], ["2", "790", " APN", " CVO"], ["10", "469", " APV", " AAF"], ["2", "747", " AST", " ANC"], ["1", "1285", " ADG", " ADK"], ["8", "421", " ADT", " AKP"], ["2", "1077", " ABQ", " AXG"], ["11", "135", " ADG", " NDV"], ["4", "359", " AMN", " ADG"], ["11", "240", " ARC", " AXG"], ["10", "382", " APG", " ALE"], ["10", "1390", " ADG", " ABL"], ["10", "468", " AAF", " APV"], ["8", "1281", " AET", " ATO"], ["11", "241", " AXG", " ARC"], ["1", "1166", " ABQ", " AAF"], ["7", "409", " ADG", " AMN"], ["4", "946", " AHT", " AXG"], ["6", "211", " AQY", " AXG"], ["11", "437", " AND", " ABQ"], ["11", "566", " LTS", " AET"], ["10", "383", " ALE", " APG"], ["11", "741", " OTS", " AXG"], ["5", "135", " ADT", " AFO"], ["6", "210", " AXG", " AQY"], ["3", "827", " AEL", " ABQ"], ["3", "1186", " ANB", " AET"], ["5", "350", " ATW", " AOS"], ["6", "1071", " ABR", " ADK"], ["8", "1280", " ATO", " AET"], ["4", "358", " ADG", " AMN"], ["11", "908", " ANQ", " ATO"], ["5", "432", " APV", " TDW"], ["11", "909", " ATO", " ANQ"], ["8", "512", " ABQ", " ADK"], ["6", "1194", " AAF", " AXG"], ["7", "408", " AMN", " ADG"], ["4", "1138", " ABR", " AET"], ["11", "134", " NDV", " ADG"], ["2", "841", " ADT", " NGZ"], ["4", "1139", " AET", " ABR"], ["9", "882", " ADT", " ALZ"], ["7", "1071", " ARB", " AET"], ["1", "561", " ATO", " AHF"], ["11", "158", " AHT", " ANV"], ["11", "330", " AXG", " LTS"], ["3", "334", " ALI", " ATW"], ["6", "1195", " AXG", " AAF"], ["1", "1167", " AAF", " ABQ"], ["9", "225", " AHF", " ASY"], ["4", "34", " ADR", " ATS"], ["11", "80", " AET", " AXB"], ["6", "741", " AXG", " HMN"], ["8", "1086", " EDF", " AFO"], ["7", "845", " AOS", " MMI"], ["5", "433", " TDW", " APV"], ["9", "748", " ATS", " RLI"], ["12", "851", " AET", " ARC"], ["9", "749", " RLI", " ATS"], ["9", "883", " ALZ", " ADT"], ["9", "1114", " LTS", " ABI"], ["11", "81", " AXB", " AET"], ["3", "162", " AIK", " ADT"], ["4", "947", " AXG", " AHT"], ["7", "844", " MMI", " AOS"], ["6", "179", " ALI", " ABQ"], ["9", "894", " AAF", " AHT"], ["8", "1309", " ALS", " ADG"], ["3", "904", " APV", " ANV"], ["9", "313", " ALN", " AXG"], ["12", "850", " ARC", " AET"], ["7", "793", " NGZ", " AIA"], ["11", "640", " AND", " AIA"], ["4", "35", " ATS", " ADR"], ["8", "833", " MMI", " AAF"], ["5", "134", " AFO", " ADT"], ["11", "825", " ANW", " ABI"], ["6", "82", " ABY", " ATO"], ["12", "1056", " ALN", " ADR"], ["9", "1061", " ADK", " AST"], ["9", "1006", " AET", " ANV"], ["8", "513", " ADK", " ABQ"], ["11", "1013", " ALZ", " ABI"], ["7", "754", " ABR", " MMI"], ["11", "835", " AXN", " ATS"], ["3", "244", " EDF", " AHT"], ["7", "250", " AXS", " ATS"], ["11", "159", " ANV", " AHT"], ["3", "1187", " AET", " ANB"], ["8", "832", " AAF", " MMI"], ["11", "567", " AET", " LTS"], ["11", "824", " ABI", " ANW"]]	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 flight numbers of flights landing at APG.	[]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "949", " OTS", " AKK"], ["12", "947", " AKK", " AXG"], ["7", "948", " AKK", " OTS"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "1335", " AKK", " ADT"], ["12", "946", " AXG", " AKK"], ["1", "370", " AKC", " WKK"], ["3", "529", " AKK", " ARB"], ["12", "1334", " ADT", " AKK"], ["9", "747", " ESF", " WKK"], ["3", "528", " ARB", " AKK"], ["1", "371", " WKK", " AKC"], ["7", "1126", " AKI", " ESF"], ["12", "957", " ABL", " AKO"], ["7", "1127", " ESF", " AKI"], ["10", "647", " ASE", " ARB"], ["7", "737", " ABY", " ARX"], ["12", "956", " AKO", " ABL"], ["7", "316", " AST", " AKI"], ["7", "1119", " AKI", " MMI"], ["2", "747", " AST", " ANC"], ["7", "455", " ADK", " KQA"], ["7", "484", " ALX", " AKK"], ["10", "646", " ARB", " ASE"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "1145", " CAK", " AKK"], ["7", "485", " AKK", " ALX"], ["9", "635", " ATW", " AKI"], ["9", "634", " AKI", " ATW"], ["10", "601", " AKI", " ABQ"], ["9", "746", " WKK", " ESF"], ["11", "705", " AKI", " ADR"], ["10", "603", " ADK", " AKK"], ["10", "701", " AKI", " ANC"], ["6", "971", " AOS", " ASE"], ["11", "704", " ADR", " AKI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "234", " EDF", " AKK"], ["10", "1391", " ABL", " ADG"], ["7", "115", " ADK", " ARB"], ["4", "547", " AKC", " ANY"], ["2", "1287", " ESF", " HMN"], ["3", "240", " AKC", " MMI"], ["7", "1118", " MMI", " AKI"], ["10", "700", " ANC", " AKI"], ["7", "114", " ARB", " ADK"], ["7", "663", " AKO", " ATS"], ["10", "1144", " AKK", " CAK"], ["7", "454", " KQA", " ADK"], ["2", "1286", " HMN", " ESF"], ["12", "235", " AKK", " EDF"], ["10", "602", " AKK", " ADK"], ["5", "1334", " CAK", " AKC"], ["3", "549", " ASX", " ARX"], ["12", "1281", " ARX", " AEX"], ["12", "1022", " AKI", " AHN"], ["2", "193", " NDV", " AKK"], ["1", "627", " AEL", " AKI"], ["3", "671", " ARX", " ALN"], ["12", "1023", " AHN", " AKI"], ["7", "317", " AKI", " AST"], ["2", "467", " AGN", " ARB"], ["10", "934", " ABI", " AKP"], ["10", "600", " ABQ", " AKI"], ["1", "626", " AKI", " AEL"], ["10", "1172", " APG", " AKC"], ["7", "121", " ALX", " AKI"], ["7", "721", " KQA", " AED"], ["2", "729", " ESF", " AKI"], ["3", "670", " ALN", " ARX"], ["1", "143", " AKC", " ALI"], ["7", "1071", " ARB", " AET"], ["10", "935", " AKP", " ABI"], ["12", "121", " ADK", " ASY"], ["8", "1419", " ATS", " AEL"], ["3", "548", " ARX", " ASX"], ["7", "336", " AXG", " AUK"], ["1", "308", " ATE", " AKC"], ["6", "717", " AHF", " AKP"], ["12", "265", " AKI", " AMW"], ["2", "466", " ARB", " AGN"], ["6", "813", " CAK", " ARB"], ["8", "1376", " WKK", " ASE"], ["12", "264", " AMW", " AKI"], ["3", "397", " ASX", " AED"], ["6", "71", " AAF", " AKC"], ["7", "119", " ANW", " AKK"], ["10", "1390", " ADG", " ABL"], ["7", "120", " AKI", " ALX"], ["9", "646", " ARX", " AHF"], ["1", "309", " AKC", " ATE"], ["7", "662", " ATS", " AKO"], ["9", "1061", " ADK", " AST"], ["4", "546", " ANY", " AKC"], ["7", "571", " ADG", " OTS"], ["8", "372", " AHF", " AKC"], ["12", "1280", " AEX", " ARX"], ["2", "728", " AKI", " ESF"], ["5", "1335", " AKC", " CAK"], ["7", "855", " APN", " KQA"], ["8", "1377", " ASE", " WKK"], ["3", "589", " WKK", " AKO"], ["6", "347", " OTS", " ARB"], ["9", "647", " AHF", " ARX"], ["3", "195", " ARX", " AST"], ["12", "1205", " ADM", " ARB"], ["7", "844", " MMI", " AOS"], ["3", "241", " MMI", " AKC"], ["7", "45", " ABR", " AKI"], ["7", "561", " ASE", " ATW"], ["8", "373", " AKC", " AHF"], ["7", "845", " AOS", " MMI"], ["2", "192", " AKK", " NDV"], ["7", "943", " AIB", " AKP"], ["7", "942", " AKP", " AIB"], ["7", "118", " AKK", " ANW"], ["6", "569", " AMW", " ASY"], ["6", "1071", " ABR", " ADK"], ["7", "560", " ATW", " ASE"], ["7", "295", " AKP", " AET"], ["6", "812", " ARB", " CAK"], ["7", "337", " AUK", " AXG"], ["3", "396", " AED", " ASX"], ["10", "1173", " AKC", " APG"], ["7", "854", " KQA", " APN"], ["3", "588", " AKO", " WKK"], ["4", "871", " ARB", " ATE"], ["12", "584", " ALZ", " ASE"], ["7", "542", " WKK", " ANC"]]	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 flight numbers of flights departing from City "Aberdeen "?	[]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "949", " OTS", " AKK"], ["7", "948", " AKK", " OTS"], ["12", "946", " AXG", " AKK"], ["12", "1334", " ADT", " AKK"], ["3", "529", " AKK", " ARB"], ["12", "947", " AKK", " AXG"], ["9", "747", " ESF", " WKK"], ["3", "528", " ARB", " AKK"], ["7", "1126", " AKI", " ESF"], ["7", "316", " AST", " AKI"], ["1", "370", " AKC", " WKK"], ["12", "234", " EDF", " AKK"], ["1", "371", " WKK", " AKC"], ["7", "737", " ABY", " ARX"], ["12", "1335", " AKK", " ADT"], ["9", "746", " WKK", " ESF"], ["7", "1127", " ESF", " AKI"], ["7", "115", " ADK", " ARB"], ["12", "235", " AKK", " EDF"], ["7", "114", " ARB", " ADK"], ["7", "1119", " AKI", " MMI"], ["8", "373", " AKC", " AHF"], ["8", "372", " AHF", " AKC"], ["12", "1023", " AHN", " AKI"], ["6", "71", " AAF", " AKC"], ["1", "308", " ATE", " AKC"], ["6", "813", " CAK", " ARB"], ["7", "119", " ANW", " AKK"], ["12", "1022", " AKI", " AHN"], ["10", "1144", " AKK", " CAK"], ["7", "844", " MMI", " AOS"], ["9", "225", " AHF", " ASY"], ["12", "121", " ADK", " ASY"], ["10", "1145", " CAK", " AKK"], ["10", "601", " AKI", " ABQ"], ["7", "1071", " ARB", " AET"], ["7", "455", " ADK", " KQA"], ["8", "1376", " WKK", " ASE"], ["1", "309", " AKC", " ATE"], ["8", "1419", " ATS", " AEL"], ["9", "634", " AKI", " ATW"], ["5", "1334", " CAK", " AKC"], ["10", "646", " ARB", " ASE"], ["7", "317", " AKI", " AST"], ["7", "1118", " MMI", " AKI"], ["12", "540", " AHT", " AMW"], ["7", "484", " ALX", " AKK"], ["6", "971", " AOS", " ASE"], ["6", "347", " OTS", " ARB"], ["6", "717", " AHF", " AKP"], ["10", "647", " ASE", " ARB"], ["2", "1286", " HMN", " ESF"], ["7", "571", " ADG", " OTS"], ["10", "603", " ADK", " AKK"], ["9", "224", " ASY", " AHF"], ["7", "45", " ABR", " AKI"], ["7", "454", " KQA", " ADK"], ["2", "466", " ARB", " AGN"], ["12", "451", " HMN", " ALB"], ["12", "957", " ABL", " AKO"], ["6", "812", " ARB", " CAK"], ["6", "716", " AKP", " AHF"], ["12", "264", " AMW", " AKI"], ["7", "336", " AXG", " AUK"], ["12", "956", " AKO", " ABL"], ["10", "1391", " ABL", " ADG"], ["7", "118", " AKK", " ANW"], ["7", "721", " KQA", " AED"], ["7", "723", " CAK", " AST"], ["8", "1377", " ASE", " WKK"], ["4", "547", " AKC", " ANY"], ["3", "241", " MMI", " AKC"], ["6", "346", " ARB", " OTS"], ["6", "1071", " ABR", " ADK"], ["9", "635", " ATW", " AKI"], ["2", "467", " AGN", " ARB"], ["9", "646", " ARX", " AHF"], ["1", "626", " AKI", " AEL"], ["8", "132", " AKK", " AIK"], ["2", "1287", " ESF", " HMN"], ["7", "295", " AKP", " AET"], ["4", "871", " ARB", " ATE"], ["1", "143", " AKC", " ALI"], ["7", "722", " AST", " CAK"], ["5", "1204", " AOS", " AST"], ["7", "845", " AOS", " MMI"], ["12", "265", " AKI", " AMW"], ["10", "54", " KQA", " AHF"], ["8", "640", " ABQ", " AOS"], ["8", "513", " ADK", " ABQ"], ["10", "602", " AKK", " ADK"], ["3", "240", " AKC", " MMI"], ["3", "671", " ARX", " ALN"], ["10", "600", " ABQ", " AKI"], ["7", "1081", " AGN", " AHF"], ["11", "471", " AHT", " CAK"], ["6", "569", " AMW", " ASY"], ["7", "121", " ALX", " AKI"], ["8", "1418", " AEL", " ATS"], ["12", "1056", " ALN", " ADR"], ["3", "195", " ARX", " AST"], ["7", "44", " AKI", " ABR"], ["4", "546", " ANY", " AKC"], ["9", "617", " AND", " HMN"], ["9", "1061", " ADK", " AST"], ["12", "850", " ARC", " AET"], ["11", "704", " ADR", " AKI"], ["12", "541", " AMW", " AHT"], ["7", "485", " AKK", " ALX"], ["1", "471", " MMI", " ABQ"], ["1", "627", " AEL", " AKI"], ["7", "337", " AUK", " AXG"], ["12", "120", " ASY", " ADK"], ["10", "827", " ARB", " AHH"], ["11", "379", " ASY", " RFK"], ["7", "663", " AKO", " ATS"], ["2", "747", " AST", " ANC"], ["9", "1188", " AHF", " OTS"], ["10", "55", " AHF", " KQA"], ["8", "133", " AIK", " AKK"], ["3", "670", " ALN", " ARX"], ["12", "327", " AOS", " ATO"], ["12", "450", " ALB", " HMN"], ["11", "437", " AND", " ABQ"], ["5", "1335", " AKC", " CAK"], ["8", "1535", " CAK", " AMN"], ["10", "700", " ANC", " AKI"], ["1", "829", " EDF", " HMN"], ["7", "561", " ASE", " ATW"], ["4", "167", " AKI", " AAF"], ["11", "378", " RFK", " ASY"], ["12", "584", " ALZ", " ASE"], ["1", "148", " HMN", " ABL"], ["1", "1167", " AAF", " ABQ"], ["7", "543", " ANC", " WKK"], ["9", "647", " AHF", " ARX"], ["9", "468", " HMN", " AHD"], ["12", "326", " ATO", " AOS"], ["6", "70", " AKC", " AAF"], ["9", "1189", " OTS", " AHF"], ["12", "1281", " ARX", " AEX"]]	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 flight numbers of flights leaving from Aberdeen.	[]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "947", " AKK", " AXG"], ["7", "949", " OTS", " AKK"], ["12", "1335", " AKK", " ADT"], ["7", "948", " AKK", " OTS"], ["12", "946", " AXG", " AKK"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "529", " AKK", " ARB"], ["3", "528", " ARB", " AKK"], ["12", "1334", " ADT", " AKK"], ["12", "957", " ABL", " AKO"], ["1", "370", " AKC", " WKK"], ["7", "1126", " AKI", " ESF"], ["1", "371", " WKK", " AKC"], ["7", "1127", " ESF", " AKI"], ["7", "316", " AST", " AKI"], ["12", "956", " AKO", " ABL"], ["7", "1119", " AKI", " MMI"], ["7", "737", " ABY", " ARX"], ["11", "705", " AKI", " ADR"], ["10", "601", " AKI", " ABQ"], ["7", "455", " ADK", " KQA"], ["10", "647", " ASE", " ARB"], ["11", "704", " ADR", " AKI"], ["10", "701", " AKI", " ANC"], ["9", "635", " ATW", " AKI"], ["3", "240", " AKC", " MMI"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "603", " ADK", " AKK"], ["9", "747", " ESF", " WKK"], ["7", "484", " ALX", " AKK"], ["10", "646", " ARB", " ASE"], ["7", "485", " AKK", " ALX"], ["10", "1145", " CAK", " AKK"], ["10", "600", " ABQ", " AKI"], ["12", "234", " EDF", " AKK"], ["7", "1118", " MMI", " AKI"], ["9", "634", " AKI", " ATW"], ["12", "1023", " AHN", " AKI"], ["10", "700", " ANC", " AKI"], ["12", "1022", " AKI", " AHN"], ["10", "1172", " APG", " AKC"], ["10", "934", " ABI", " AKP"], ["10", "935", " AKP", " ABI"], ["7", "115", " ADK", " ARB"], ["4", "547", " AKC", " ANY"], ["7", "663", " AKO", " ATS"], ["12", "235", " AKK", " EDF"], ["2", "747", " AST", " ANC"], ["1", "309", " AKC", " ATE"], ["6", "971", " AOS", " ASE"], ["10", "602", " AKK", " ADK"], ["10", "1391", " ABL", " ADG"], ["7", "121", " ALX", " AKI"], ["2", "193", " NDV", " AKK"], ["7", "454", " KQA", " ADK"], ["12", "265", " AKI", " AMW"], ["7", "317", " AKI", " AST"], ["6", "813", " CAK", " ARB"], ["1", "308", " ATE", " AKC"], ["5", "1334", " CAK", " AKC"], ["7", "336", " AXG", " AUK"], ["12", "264", " AMW", " AKI"], ["3", "241", " MMI", " AKC"], ["8", "373", " AKC", " AHF"], ["1", "143", " AKC", " ALI"], ["1", "627", " AEL", " AKI"], ["8", "372", " AHF", " AKC"], ["1", "626", " AKI", " AEL"], ["3", "549", " ASX", " ARX"], ["7", "114", " ARB", " ADK"], ["10", "1173", " AKC", " APG"], ["10", "1144", " AKK", " CAK"], ["12", "1281", " ARX", " AEX"], ["2", "729", " ESF", " AKI"], ["7", "120", " AKI", " ALX"], ["7", "721", " KQA", " AED"], ["7", "855", " APN", " KQA"], ["6", "71", " AAF", " AKC"], ["3", "671", " ARX", " ALN"], ["7", "45", " ABR", " AKI"], ["12", "121", " ADK", " ASY"], ["3", "548", " ARX", " ASX"], ["7", "119", " ANW", " AKK"], ["6", "717", " AHF", " AKP"], ["3", "589", " WKK", " AKO"], ["6", "1071", " ABR", " ADK"], ["5", "1335", " AKC", " CAK"], ["4", "167", " AKI", " AAF"], ["4", "546", " ANY", " AKC"], ["12", "1205", " ADM", " ARB"], ["7", "571", " ADG", " OTS"], ["2", "728", " AKI", " ESF"], ["7", "943", " AIB", " AKP"], ["7", "560", " ATW", " ASE"], ["7", "845", " AOS", " MMI"], ["6", "517", " AKI", " KKI"], ["8", "1419", " ATS", " AEL"], ["4", "871", " ARB", " ATE"], ["3", "670", " ALN", " ARX"], ["9", "746", " WKK", " ESF"], ["2", "467", " AGN", " ARB"], ["3", "195", " ARX", " AST"], ["8", "1376", " WKK", " ASE"], ["7", "662", " ATS", " AKO"], ["6", "812", " ARB", " CAK"], ["7", "561", " ASE", " ATW"]]Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "844", " MMI", " AOS"], ["6", "569", " AMW", " ASY"], ["3", "397", " ASX", " AED"], ["7", "1071", " ARB", " AET"], ["7", "44", " AKI", " ABR"], ["3", "588", " AKO", " WKK"], ["2", "1287", " ESF", " HMN"], ["7", "118", " AKK", " ANW"], ["8", "1377", " ASE", " WKK"], ["2", "466", " ARB", " AGN"], ["10", "827", " ARB", " AHH"], ["7", "942", " AKP", " AIB"], ["8", "512", " ABQ", " ADK"], ["10", "1390", " ADG", " ABL"], ["2", "1286", " HMN", " ESF"], ["7", "337", " AUK", " AXG"], ["7", "854", " KQA", " APN"], ["8", "1182", " AKI", " ARC"], ["11", "877", " AXX", " KQA"], ["12", "1280", " AEX", " ARX"], ["11", "1179", " AFO", " KQA"], ["8", "1233", " AKI", " NDV"]]	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 flight numbers of flights arriving at City "Aberdeen"?	[]	2,048	Answer:
Table AIRPORTS: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"]]Table FLIGHTS: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "949", " OTS", " AKK"], ["12", "947", " AKK", " AXG"], ["7", "948", " AKK", " OTS"], ["12", "946", " AXG", " AKK"], ["12", "234", " EDF", " AKK"], ["3", "529", " AKK", " ARB"], ["7", "316", " AST", " AKI"], ["12", "1334", " ADT", " AKK"], ["3", "528", " ARB", " AKK"], ["7", "1126", " AKI", " ESF"], ["8", "373", " AKC", " AHF"], ["9", "747", " ESF", " WKK"], ["1", "371", " WKK", " AKC"], ["12", "1335", " AKK", " ADT"], ["12", "235", " AKK", " EDF"], ["8", "372", " AHF", " AKC"], ["1", "370", " AKC", " WKK"], ["1", "309", " AKC", " ATE"], ["12", "1023", " AHN", " AKI"], ["7", "737", " ABY", " ARX"], ["1", "308", " ATE", " AKC"], ["7", "1127", " ESF", " AKI"], ["12", "1022", " AKI", " AHN"], ["7", "1119", " AKI", " MMI"], ["10", "601", " AKI", " ABQ"], ["9", "746", " WKK", " ESF"], ["7", "115", " ADK", " ARB"], ["9", "225", " AHF", " ASY"], ["7", "844", " MMI", " AOS"], ["8", "640", " ABQ", " AOS"], ["7", "455", " ADK", " KQA"], ["12", "121", " ADK", " ASY"], ["6", "971", " AOS", " ASE"], ["6", "813", " CAK", " ARB"], ["9", "634", " AKI", " ATW"], ["6", "717", " AHF", " AKP"], ["7", "119", " ANW", " AKK"], ["12", "957", " ABL", " AKO"], ["4", "871", " ARB", " ATE"], ["1", "829", " EDF", " HMN"], ["7", "317", " AKI", " AST"], ["7", "454", " KQA", " ADK"], ["6", "71", " AAF", " AKC"], ["8", "513", " ADK", " ABQ"], ["10", "600", " ABQ", " AKI"], ["12", "264", " AMW", " AKI"], ["3", "241", " MMI", " AKC"], ["7", "114", " ARB", " ADK"], ["6", "1071", " ABR", " ADK"], ["3", "240", " AKC", " MMI"], ["10", "603", " ADK", " AKK"], ["7", "1118", " MMI", " AKI"], ["12", "956", " AKO", " ABL"], ["9", "224", " ASY", " AHF"], ["6", "716", " AKP", " AHF"], ["7", "45", " ABR", " AKI"], ["2", "1286", " HMN", " ESF"], ["8", "512", " ABQ", " ADK"], ["11", "704", " ADR", " AKI"], ["8", "1376", " WKK", " ASE"], ["7", "571", " ADG", " OTS"], ["9", "635", " ATW", " AKI"], ["12", "265", " AKI", " AMW"], ["12", "1173", " ARX", " AMA"], ["7", "845", " AOS", " MMI"], ["10", "1145", " CAK", " AKK"], ["2", "1287", " ESF", " HMN"], ["10", "1144", " AKK", " CAK"], ["10", "1391", " ABL", " ADG"], ["10", "646", " ARB", " ASE"], ["10", "827", " ARB", " AHH"], ["10", "54", " KQA", " AHF"], ["10", "934", " ABI", " AKP"], ["11", "285", " WKK", " ABQ"], ["11", "437", " AND", " ABQ"], ["8", "1419", " ATS", " AEL"], ["12", "540", " AHT", " AMW"], ["1", "471", " MMI", " ABQ"], ["10", "647", " ASE", " ARB"], ["7", "484", " ALX", " AKK"], ["6", "812", " ARB", " CAK"], ["8", "89", " AMW", " KQA"], ["8", "132", " AKK", " AIK"], ["7", "336", " AXG", " AUK"], ["10", "55", " AHF", " KQA"], ["5", "1334", " CAK", " AKC"], ["4", "547", " AKC", " ANY"], ["9", "646", " ARX", " AHF"], ["7", "44", " AKI", " ABR"], ["3", "195", " ARX", " AST"], ["12", "451", " HMN", " ALB"], ["10", "602", " AKK", " ADK"], ["8", "641", " AOS", " ABQ"], ["7", "118", " AKK", " ANW"], ["1", "828", " HMN", " EDF"], ["10", "1172", " APG", " AKC"], ["7", "721", " KQA", " AED"], ["9", "1061", " ADK", " AST"], ["8", "1377", " ASE", " WKK"], ["9", "468", " HMN", " AHD"], ["7", "1081", " AGN", " AHF"], ["2", "466", " ARB", " AGN"], ["7", "723", " CAK", " AST"], ["1", "470", " ABQ", " MMI"], ["8", "1182", " AKI", " ARC"], ["8", "1183", " ARC", " AKI"], ["7", "663", " AKO", " ATS"], ["8", "1535", " CAK", " AMN"], ["8", "421", " ADT", " AKP"], ["6", "373", " MMI", " ATE"], ["8", "133", " AIK", " AKK"], ["2", "467", " AGN", " ARB"], ["8", "833", " MMI", " AAF"], ["7", "121", " ALX", " AKI"], ["4", "167", " AKI", " AAF"], ["7", "1071", " ARB", " AET"], ["11", "471", " AHT", " CAK"], ["2", "747", " AST", " ANC"], ["9", "617", " AND", " HMN"], ["3", "671", " ARX", " ALN"], ["1", "626", " AKI", " AEL"], ["11", "705", " AKI", " ADR"], ["12", "326", " ATO", " AOS"], ["4", "870", " ATE", " ARB"], ["8", "1039", " ARX", " EDF"], ["6", "347", " OTS", " ARB"], ["12", "327", " AOS", " ATO"], ["2", "193", " NDV", " AKK"], ["7", "722", " AST", " CAK"], ["8", "1418", " AEL", " ATS"], ["9", "943", " MMI", " ABI"], ["1", "143", " AKC", " ALI"], ["12", "850", " ARC", " AET"], ["5", "1204", " AOS", " AST"], ["4", "546", " ANY", " AKC"], ["1", "425", " AOS", " ADG"], ["9", "279", " AST", " AHH"], ["1", "149", " ABL", " HMN"], ["12", "120", " ASY", " ADK"], ["11", "379", " ASY", " RFK"], ["7", "295", " AKP", " AET"]]	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 flight numbers of flights arriving in Aberdeen.	[]	2,048	Answer:
Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Abilene ", "ABI", "Municipal ", "United States ", "US"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["6", "1071", " ABR", " ADK"], ["7", "737", " ABY", " ARX"], ["8", "513", " ADK", " ABQ"], ["8", "512", " ABQ", " ADK"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "640", " ABQ", " AOS"], ["10", "1137", " ABI", " ABL"], ["10", "1136", " ABL", " ABI"], ["1", "149", " ABL", " HMN"], ["12", "1334", " ADT", " AKK"], ["12", "957", " ABL", " AKO"], ["1", "148", " HMN", " ABL"], ["11", "436", " ABQ", " AND"], ["10", "1391", " ABL", " ADG"], ["12", "956", " AKO", " ABL"], ["11", "285", " WKK", " ABQ"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "437", " AND", " ABQ"], ["11", "284", " ABQ", " WKK"], ["7", "736", " ARX", " ABY"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "309", " AKC", " ATE"], ["8", "641", " AOS", " ABQ"], ["12", "1335", " AKK", " ADT"], ["3", "528", " ARB", " AKK"], ["3", "529", " AKK", " ARB"], ["2", "1076", " AXG", " ABQ"], ["7", "115", " ADK", " ARB"], ["3", "826", " ABQ", " AEL"], ["3", "827", " AEL", " ABQ"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "114", " ARB", " ADK"], ["1", "308", " ATE", " AKC"], ["8", "873", " CAK", " ABY"], ["2", "1077", " ABQ", " AXG"], ["8", "872", " ABY", " CAK"], ["7", "455", " ADK", " KQA"], ["7", "454", " KQA", " ADK"], ["1", "1167", " AAF", " ABQ"], ["11", "513", " ABR", " ASY"], ["1", "1284", " ADK", " ADG"], ["1", "1166", " ABQ", " AAF"], ["10", "1390", " ADG", " ABL"], ["12", "121", " ADK", " ASY"], ["7", "948", " AKK", " OTS"], ["12", "947", " AKK", " AXG"], ["7", "949", " OTS", " AKK"], ["7", "76", " ARB", " ABL"], ["7", "44", " AKI", " ABR"], ["12", "946", " AXG", " AKK"], ["3", "670", " ALN", " ARX"], ["7", "45", " ABR", " AKI"], ["8", "1376", " WKK", " ASE"], ["11", "512", " ASY", " ABR"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "370", " AKC", " WKK"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "371", " WKK", " AKC"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "466", " ARB", " AGN"], ["8", "421", " ADT", " AKP"], ["7", "77", " ABL", " ARB"], ["11", "842", " ABR", " AXN"], ["11", "843", " AXN", " ABR"], ["9", "681", " AGN", " ABY"], ["2", "747", " AST", " ANC"], ["1", "1285", " ADG", " ADK"], ["9", "1061", " ADK", " AST"], ["1", "470", " ABQ", " MMI"], ["8", "737", " ABQ", " ACV"], ["8", "1377", " ASE", " WKK"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "525", " ALM", " ADK"], ["7", "1096", " ABI", " EDF"], ["2", "467", " AGN", " ARB"], ["10", "600", " ABQ", " AKI"], ["6", "813", " CAK", " ARB"], ["9", "942", " ABI", " MMI"], ["3", "195", " ARX", " AST"], ["12", "1056", " ALN", " ADR"], ["4", "1138", " ABR", " AET"], ["1", "471", " MMI", " ABQ"], ["11", "1179", " AFO", " KQA"], ["8", "956", " ADK", " AQY"], ["2", "143", " ADM", " ABQ"], ["4", "1139", " AET", " ABR"], ["6", "370", " WKK", " ADT"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["6", "812", " ARB", " CAK"], ["7", "1097", " EDF", " ABI"], ["6", "371", " ADT", " WKK"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "372", " AHF", " AKC"], ["8", "836", " APN", " ALB"], ["8", "1419", " ATS", " AEL"], ["8", "957", " AQY", " ADK"], ["6", "179", " ALI", " ABQ"], ["4", "871", " ARB", " ATE"]]	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 flights landing in the city of Aberdeen or Abilene.	[["0"]]	2,048	Answer:
Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Abilene ", "ABI", "Municipal ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "737", " ABY", " ARX"], ["6", "1071", " ABR", " ADK"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "1077", " ABQ", " AXG"], ["8", "512", " ABQ", " ADK"], ["7", "736", " ARX", " ABY"], ["8", "640", " ABQ", " AOS"], ["2", "1076", " AXG", " ABQ"], ["8", "513", " ADK", " ABQ"], ["12", "957", " ABL", " AKO"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "1334", " ADT", " AKK"], ["1", "148", " HMN", " ABL"], ["12", "956", " AKO", " ABL"], ["8", "641", " AOS", " ABQ"], ["1", "309", " AKC", " ATE"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "467", " AGN", " ARB"], ["1", "308", " ATE", " AKC"], ["10", "1391", " ABL", " ADG"], ["3", "827", " AEL", " ABQ"], ["1", "149", " ABL", " HMN"], ["1", "1284", " ADK", " ADG"], ["10", "1137", " ABI", " ABL"], ["12", "1335", " AKK", " ADT"], ["3", "826", " ABQ", " AEL"], ["11", "436", " ABQ", " AND"], ["7", "76", " ARB", " ABL"], ["11", "285", " WKK", " ABQ"], ["2", "466", " ARB", " AGN"], ["3", "529", " AKK", " ARB"], ["3", "528", " ARB", " AKK"], ["11", "437", " AND", " ABQ"], ["8", "872", " ABY", " CAK"], ["7", "114", " ARB", " ADK"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "1167", " AAF", " ABQ"], ["11", "284", " ABQ", " WKK"], ["7", "115", " ADK", " ARB"], ["7", "454", " KQA", " ADK"], ["10", "1136", " ABL", " ABI"], ["8", "873", " CAK", " ABY"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "1285", " ADG", " ADK"], ["7", "45", " ABR", " AKI"], ["7", "455", " ADK", " KQA"], ["2", "747", " AST", " ANC"], ["3", "670", " ALN", " ARX"], ["7", "44", " AKI", " ABR"], ["2", "142", " ABQ", " ADM"], ["7", "77", " ABL", " ARB"], ["12", "947", " AKK", " AXG"], ["1", "1166", " ABQ", " AAF"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["3", "195", " ARX", " AST"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Albany ", "ABY", "Dougherty County ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "681", " AGN", " ABY"], ["10", "1390", " ADG", " ABL"], ["11", "842", " ABR", " AXN"], ["11", "513", " ABR", " ASY"], ["12", "121", " ADK", " ASY"], ["12", "946", " AXG", " AKK"], ["4", "1138", " ABR", " AET"], ["2", "322", " ALN", " ARB"], ["1", "370", " AKC", " WKK"], ["2", "673", " ABL", " ANV"], ["1", "425", " AOS", " ADG"], ["11", "843", " AXN", " ABR"], ["2", "143", " ADM", " ABQ"], ["8", "421", " ADT", " AKP"], ["4", "1139", " AET", " ABR"], ["6", "178", " ABQ", " ALI"], ["11", "512", " ASY", " ABR"], ["4", "871", " ARB", " ATE"], ["7", "1071", " ARB", " AET"], ["1", "371", " WKK", " AKC"], ["9", "680", " ABY", " AGN"], ["2", "672", " ANV", " ABL"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ardmore ", "ADM", "Ardmore Municipal Arpt ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["6", "179", " ALI", " ABQ"], ["1", "470", " ABQ", " MMI"], ["8", "737", " ABQ", " ACV"], ["12", "156", " ABY", " ESF"], ["7", "948", " AKK", " OTS"], ["12", "1057", " ADR", " ALN"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Allakaket ", "AET", "Allakaket ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "886", " ANW", " ABY"], ["4", "870", " ATE", " ARB"], ["2", "887", " ABY", " ANW"], ["12", "1056", " ALN", " ADR"], ["8", "542", " ABQ", " NGZ"], ["3", "671", " ARX", " ALN"], ["10", "600", " ABQ", " AKI"], ["8", "994", " ABY", " AXB"], ["8", "1377", " ASE", " WKK"], ["7", "1096", " ABI", " EDF"], ["7", "949", " OTS", " AKK"], ["8", "372", " AHF", " AKC"], ["7", "1097", " EDF", " ABI"], ["3", "1227", " ABL", " AID"]]	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 flights land in Aberdeen or Abilene?	[["0"]]	2,048	Answer:
Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"], ["Albuquerque ", "ABQ", "Albuquerque International ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "1117", " AFO", " ANI"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "1178", " KQA", " AFO"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "737", " ABY", " ARX"], ["11", "1179", " AFO", " KQA"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "1349", " AHF", " ANI"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"], ["Alameda ", "NGZ", "NAS ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "747", " ESF", " WKK"], ["9", "748", " ATS", " RLI"], ["1", "1062", " AQY", " AFO"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "737", " AMN", " QAW"], ["10", "1116", " ANI", " AFO"], ["8", "1348", " ANI", " AHF"], ["1", "143", " AKC", " ALI"], ["4", "378", " WKK", " ANQ"], ["1", "1167", " AAF", " ABQ"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "854", " KQA", " APN"], ["12", "957", " ABL", " AKO"], ["7", "542", " WKK", " ANC"], ["7", "949", " OTS", " AKK"], ["1", "709", " AFO", " AXB"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akutan ", "KQA", "Akutan ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "662", " ATS", " AKO"], ["7", "948", " AKK", " OTS"], ["9", "159", " AQY", " AKO"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aleneva ", "AED", "Aleneva ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "908", " ANQ", " ATO"], ["11", "909", " ATO", " ANQ"], ["1", "1063", " AFO", " AQY"], ["4", "379", " ANQ", " WKK"], ["9", "749", " RLI", " ATS"], ["5", "902", " AFO", " WKK"], ["1", "142", " ALI", " AKC"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Angola ", "ANQ", "Tri-State Steuben Cty ", "United States ", "US"], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "708", " AXB", " AFO"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alyeska ", "AQY", "Alyeska ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "337", " AUK", " AXG"], ["8", "1347", " ESF", " AND"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "336", " AXG", " AUK"], ["11", "591", " AAF", " ANY"], ["2", "1077", " ABQ", " AXG"], ["8", "957", " AQY", " ADK"], ["9", "1188", " AHF", " OTS"], ["7", "855", " APN", " KQA"], ["7", "454", " KQA", " ADK"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Afton ", "AFO", "Municipal ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "158", " AKO", " AQY"], ["11", "877", " AXX", " KQA"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["9", "1044", " AQY", " NGZ"], ["8", "1377", " ASE", " WKK"], ["1", "199", " AAF", " NGZ"], ["11", "1012", " ABI", " ALZ"], ["8", "1086", " EDF", " AFO"], ["1", "371", " WKK", " AKC"], ["7", "812", " AND", " AXN"], ["12", "767", " AND", " RLI"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "721", " KQA", " AED"], ["6", "709", " ALI", " ANB"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Neptune ", "ARX", "Asbury Park ", "United States ", "US"], ["Alitak ", "ALZ", "Alitak SPB ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["8", "372", " AHF", " AKC"]]	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 name of airports which do not have any flight in and out.	[["Phillips AAF "], ["Municipal "], ["Dyess AFB "], ["Municipal "], ["Virginia Highlands "], ["Ada "], ["Adak Island Ns "], ["Lenawee County "], ["Municipal "], ["Municipal "], ["Ainsworth "], ["Akhiok SPB "], ["Spb "], ["Akiak "], ["Colorado Plains Regional Airport "], ["Akron/canton Regional "], ["Fulton International "], ["Akutan "], ["Alakanuk "], ["NAS "], ["Holloman AFB "], ["Municipal "], ["Municipal "], ["Albany NAS "], ["Dougherty County "], ["Albany International "], ["Albany "], ["Albert Lea "], ["Albuquerque International "], ["Aleknagik "], ["Aleneva "], ["Thomas C Russell Fld "], ["Alexandria International "], ["Esler Field "], ["Alexandria "], ["Alexandria Bay "], ["Algona "], ["International "], ["George Downer "], ["Alitak SPB "], ["Allakaket "], ["Alliance "], ["Gratiot Community "], ["Alpena County Regional "], ["Alpine "], ["Alton "], ["Altus AFB "], ["Municipal "], ["Alyeska "], ["Rick Husband Amarillo International "], ["Tradewind "], ["Ambler "], ["Amchitka "], ["Municipal "], ["Ames "], ["Zahns "], ["Amook "], ["Anacortes "], ["USN Heliport "], ["Orange County Steel Salvage Heliport "], ["Anaktuvuk "], ["Elmendorf Afb "], ["Ted Stevens Anchorage International Airport "], ["Merrill Field "], ["Municipal "], ["Anderson "], ["Andrews "], ["Angel Fire "], ["Tri-State Steuben Cty "], ["Angoon "], ["Rollang Field "], ["Aniak "], ["Anita Bay "], ["Municipal "], ["Lee "], ["Annette Island "], ["Anniston Metropolitan "], ["Ft Mcclellan Bus Trml "], ["Reilly AHP "], ["Anthony "], ["Antlers "], ["Anvik "], ["Municipal "], ["Apple Valley "], ["Outagamie County "], ["Municipal "], ["Arcata "], ["Arctic Village "], ["Downtown "], ["Ardmore Municipal Arpt "], ["US Army Heliport "], ["Artesia "], ["Asbury Park "], ["Ashland "], ["Ashley "], ["Aspen "], ["Astoria "], ["Athens "], ["Ohio University "], ["McMinn County "]]	2,048	Answer:
Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Akron CO ", "AKO", "Colorado Plains Regional Airport ", "United States ", "US"], ["Anchorage ", "ANC", "Ted Stevens Anchorage International Airport ", "United States ", "US"], ["Anchorage ", "EDF", "Elmendorf Afb ", "United States ", "US"], ["Abilene ", "DYS", "Dyess AFB ", "United States ", "US"], ["Alamogordo ", "HMN", "Holloman AFB ", "United States ", "US"], ["Akron/Canton ", "AKC", "Fulton International ", "United States ", "US"], ["Altus ", "LTS", "Altus AFB ", "United States ", "US"], ["Albuquerque ", "ABQ", "Albuquerque International ", "United States ", "US"], ["Abingdon ", "VJI", "Virginia Highlands ", "United States ", "US"], ["Anchorage ", "MRI", "Merrill Field ", "United States ", "US"], ["Anacostia ", "NDV", "USN Heliport ", "United States ", "US"], ["Alexandria ", "ESF", "Esler Field ", "United States ", "US"], ["Ardmore ", "AHD", "Downtown ", "United States ", "US"], ["Anniston ", "QAW", "Ft Mcclellan Bus Trml ", "United States ", "US"], [" Alexandria LA ", "AEX", "Alexandria International ", "United States ", "US"], ["Arapahoe ", "AHF", "Municipal ", "United States ", "US"], ["Aberdeen ", "APG", "Phillips AAF ", "United States ", "US "], ["Arlington Heights ", "JLH", "US Army Heliport ", "United States ", "US"], ["Angola ", "ANQ", "Tri-State Steuben Cty ", "United States ", "US"], ["Alameda ", "NGZ", "NAS ", "United States ", "US"], ["Aleneva ", "AED", "Aleneva ", "United States ", "US"], ["Anguilla ", "RFK", "Rollang Field ", "United States ", "US"], [" Neptune ", "ARX", "Asbury Park ", "United States ", "US"], ["Adak Island ", "ADK", "Adak Island Ns ", "United States ", "US"], ["Anaheim ", "ANA", "Orange County Steel Salvage Heliport ", "United States ", "US"], ["Alexandria Bay ", "AXB", "Alexandria Bay ", "United States ", "US"], ["Albany ", "ALB", "Albany International ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "747", " AST", " ANC"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Afton ", "AFO", "Municipal ", "United States ", "US"], ["Artesia ", "ATS", "Artesia ", "United States ", "US"], ["Aberdeen ", "ABR", "Municipal ", "United States ", "US"], ["Amityville ", "AYZ", "Zahns ", "United States ", "US"], ["Alyeska ", "AQY", "Alyeska ", "United States ", "US"], ["Ambler ", "ABL", "Ambler ", "United States ", "US"], ["Alitak ", "ALZ", "Alitak SPB ", "United States ", "US"], ["Alice ", "ALI", "International ", "United States ", "US"], ["Abilene ", "ABI", "Municipal ", "United States ", "US"], [" Anniston AL ", "ANB", "Anniston Metropolitan ", "United States ", "US"], ["Akutan ", "KQA", "Akutan ", "United States ", "US"], ["Altus ", "AXS", "Municipal ", "United States ", "US"], ["Alpena ", "APN", "Alpena County Regional ", "United States ", "US"], [" Alexander City AL ", "ALX", "Thomas C Russell Fld ", "United States ", "US"], ["Anniston ", "RLI", "Reilly AHP ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "1117", " AFO", " ANI"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Annapolis ", "ANP", "Lee ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["11", "1179", " AFO", " KQA"], ["9", "747", " ESF", " WKK"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Ashland ", "ASX", "Ashland ", "United States ", "US"], ["Annette Island ", "ANN", "Annette Island ", "United States ", "US"], ["Akron/Canton OH ", "CAK", "Akron/canton Regional ", "United States ", "US"], ["Allakaket ", "AET", "Allakaket ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "737", " ABY", " ARX"], ["1", "1063", " AFO", " AQY"], ["1", "1062", " AQY", " AFO"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Astoria ", "AST", "Astoria ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["10", "737", " AMN", " QAW"], ["11", "1178", " KQA", " AFO"], ["7", "854", " KQA", " APN"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Anita Bay ", "AIB", "Anita Bay ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["1", "1167", " AAF", " ABQ"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], [" Aliceville AL ", "AIV", "George Downer ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["2", "1077", " ABQ", " AXG"], ["7", "721", " KQA", " AED"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Aleknagik ", "WKK", "Aleknagik ", "United States ", "US"], ["Arctic Village ", "ARC", "Arctic Village ", "United States ", "US"], ["Alamogordo ", "ALM", "Municipal ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["12", "767", " AND", " RLI"], ["8", "1349", " AHF", " ANI"], ["7", "792", " AIA", " NGZ"], ["7", "855", " APN", " KQA"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Albert Lea ", "AEL", "Albert Lea ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "662", " ATS", " AKO"], ["7", "663", " AKO", " ATS"], ["7", "1031", " AXS", " AED"], ["10", "1116", " ANI", " AFO"], ["12", "957", " ABL", " AKO"], ["9", "1044", " AQY", " NGZ"], ["9", "748", " ATS", " RLI"], ["7", "793", " NGZ", " AIA"], ["9", "1045", " NGZ", " AQY"], ["11", "877", " AXX", " KQA"], ["7", "1127", " ESF", " AKI"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Adrian ", "ADG", "Lenawee County ", "United States ", "US"]]Table Flights: [["Airline", "FlightNo", "SourceAirport", "DestAirport"], ["7", "337", " AUK", " AXG"]]Table Airports: [["City", "AirportCode", "AirportName", "Country", "CountryAbbrev"], ["Apalachicola ", "AAF", "Municipal ", "United States ", "US"]]	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 airports do not have departing or arriving flights?	[["Phillips AAF "], ["Municipal "], ["Dyess AFB "], ["Municipal "], ["Virginia Highlands "], ["Ada "], ["Adak Island Ns "], ["Lenawee County "], ["Municipal "], ["Municipal "], ["Ainsworth "], ["Akhiok SPB "], ["Spb "], ["Akiak "], ["Colorado Plains Regional Airport "], ["Akron/canton Regional "], ["Fulton International "], ["Akutan "], ["Alakanuk "], ["NAS "], ["Holloman AFB "], ["Municipal "], ["Municipal "], ["Albany NAS "], ["Dougherty County "], ["Albany International "], ["Albany "], ["Albert Lea "], ["Albuquerque International "], ["Aleknagik "], ["Aleneva "], ["Thomas C Russell Fld "], ["Alexandria International "], ["Esler Field "], ["Alexandria "], ["Alexandria Bay "], ["Algona "], ["International "], ["George Downer "], ["Alitak SPB "], ["Allakaket "], ["Alliance "], ["Gratiot Community "], ["Alpena County Regional "], ["Alpine "], ["Alton "], ["Altus AFB "], ["Municipal "], ["Alyeska "], ["Rick Husband Amarillo International "], ["Tradewind "], ["Ambler "], ["Amchitka "], ["Municipal "], ["Ames "], ["Zahns "], ["Amook "], ["Anacortes "], ["USN Heliport "], ["Orange County Steel Salvage Heliport "], ["Anaktuvuk "], ["Elmendorf Afb "], ["Ted Stevens Anchorage International Airport "], ["Merrill Field "], ["Municipal "], ["Anderson "], ["Andrews "], ["Angel Fire "], ["Tri-State Steuben Cty "], ["Angoon "], ["Rollang Field "], ["Aniak "], ["Anita Bay "], ["Municipal "], ["Lee "], ["Annette Island "], ["Anniston Metropolitan "], ["Ft Mcclellan Bus Trml "], ["Reilly AHP "], ["Anthony "], ["Antlers "], ["Anvik "], ["Municipal "], ["Apple Valley "], ["Outagamie County "], ["Municipal "], ["Arcata "], ["Arctic Village "], ["Downtown "], ["Ardmore Municipal Arpt "], ["US Army Heliport "], ["Artesia "], ["Asbury Park "], ["Ashland "], ["Ashley "], ["Aspen "], ["Astoria "], ["Athens "], ["Ohio University "], ["McMinn County "]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["5", "Tim Payne", "29", "Wasps"], ["10", "Louis Deacon", "36", "Leicester"], ["1", "George Chuter", "23", "Bristol"], ["3", "Mark Regan", "43", "Bristol"], ["8", "Phil Vickery", "40", "Wasps"], ["6", "Andrew Sheridan", "28", "Sale"], ["9", "Steve Borthwick", "32", "Bath"], ["4", "Jason Hobson", "30", "Bristol"], ["2", "Lee Mears", "29", "Bath"], ["7", "Matt Stevens", "29", "Bath"]]	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 employees are there?	[["10"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["10", "Louis Deacon", "36", "Leicester"], ["1", "George Chuter", "23", "Bristol"], ["5", "Tim Payne", "29", "Wasps"], ["3", "Mark Regan", "43", "Bristol"], ["9", "Steve Borthwick", "32", "Bath"], ["6", "Andrew Sheridan", "28", "Sale"], ["4", "Jason Hobson", "30", "Bristol"], ["8", "Phil Vickery", "40", "Wasps"], ["7", "Matt Stevens", "29", "Bath"], ["2", "Lee Mears", "29", "Bath"]]	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 employees	[["10"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["10", "Louis Deacon", "36", "Leicester"], ["3", "Mark Regan", "43", "Bristol"], ["9", "Steve Borthwick", "32", "Bath"], ["1", "George Chuter", "23", "Bristol"], ["4", "Jason Hobson", "30", "Bristol"], ["5", "Tim Payne", "29", "Wasps"], ["6", "Andrew Sheridan", "28", "Sale"], ["7", "Matt Stevens", "29", "Bath"], ["8", "Phil Vickery", "40", "Wasps"], ["2", "Lee Mears", "29", "Bath"]]	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:Sort employee names by their age in ascending order.	[["George Chuter"], ["Andrew Sheridan"], ["Lee Mears"], ["Tim Payne"], ["Matt Stevens"], ["Jason Hobson"], ["Steve Borthwick"], ["Louis Deacon"], ["Phil Vickery"], ["Mark Regan"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["10", "Louis Deacon", "36", "Leicester"], ["3", "Mark Regan", "43", "Bristol"], ["9", "Steve Borthwick", "32", "Bath"], ["1", "George Chuter", "23", "Bristol"], ["5", "Tim Payne", "29", "Wasps"], ["4", "Jason Hobson", "30", "Bristol"], ["6", "Andrew Sheridan", "28", "Sale"], ["8", "Phil Vickery", "40", "Wasps"], ["7", "Matt Stevens", "29", "Bath"], ["2", "Lee Mears", "29", "Bath"]]	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 employees and sort in ascending order of age.	[["George Chuter"], ["Andrew Sheridan"], ["Lee Mears"], ["Tim Payne"], ["Matt Stevens"], ["Jason Hobson"], ["Steve Borthwick"], ["Louis Deacon"], ["Phil Vickery"], ["Mark Regan"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["5", "Tim Payne", "29", "Wasps"], ["10", "Louis Deacon", "36", "Leicester"], ["1", "George Chuter", "23", "Bristol"], ["8", "Phil Vickery", "40", "Wasps"], ["4", "Jason Hobson", "30", "Bristol"], ["3", "Mark Regan", "43", "Bristol"], ["6", "Andrew Sheridan", "28", "Sale"], ["9", "Steve Borthwick", "32", "Bath"], ["7", "Matt Stevens", "29", "Bath"], ["2", "Lee Mears", "29", "Bath"]]	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 number of employees from each city?	[["3", "Bath"], ["3", "Bristol"], ["1", "Leicester"], ["1", "Sale"], ["2", "Wasps"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["10", "Louis Deacon", "36", "Leicester"], ["5", "Tim Payne", "29", "Wasps"], ["8", "Phil Vickery", "40", "Wasps"], ["1", "George Chuter", "23", "Bristol"], ["4", "Jason Hobson", "30", "Bristol"], ["3", "Mark Regan", "43", "Bristol"], ["6", "Andrew Sheridan", "28", "Sale"], ["9", "Steve Borthwick", "32", "Bath"], ["7", "Matt Stevens", "29", "Bath"], ["2", "Lee Mears", "29", "Bath"]]	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 employees for each city.	[["3", "Bath"], ["3", "Bristol"], ["1", "Leicester"], ["1", "Sale"], ["2", "Wasps"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["10", "Louis Deacon", "36", "Leicester"], ["4", "Jason Hobson", "30", "Bristol"], ["1", "George Chuter", "23", "Bristol"], ["5", "Tim Payne", "29", "Wasps"], ["8", "Phil Vickery", "40", "Wasps"], ["3", "Mark Regan", "43", "Bristol"], ["2", "Lee Mears", "29", "Bath"], ["9", "Steve Borthwick", "32", "Bath"], ["6", "Andrew Sheridan", "28", "Sale"], ["7", "Matt Stevens", "29", "Bath"]]	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 cities do more than one employee under age 30 come from?	[["Bath"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["10", "Louis Deacon", "36", "Leicester"], ["4", "Jason Hobson", "30", "Bristol"], ["5", "Tim Payne", "29", "Wasps"], ["8", "Phil Vickery", "40", "Wasps"], ["1", "George Chuter", "23", "Bristol"], ["3", "Mark Regan", "43", "Bristol"], ["9", "Steve Borthwick", "32", "Bath"], ["2", "Lee Mears", "29", "Bath"], ["7", "Matt Stevens", "29", "Bath"], ["6", "Andrew Sheridan", "28", "Sale"]]	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 cities that have more than one employee under age 30.	[["Bath"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]	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 shops in each location.	[["1", "Espoo"], ["1", "Helsinki"], ["1", "Jakobstad"], ["1", "Kotka"], ["1", "Kuopio"], ["1", "Lahti"], ["1", "Mariehamn"], ["1", "Turku"], ["1", "Valkeakoski"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]	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 shops are there in each location?	[["1", "Espoo"], ["1", "Helsinki"], ["1", "Jakobstad"], ["1", "Kotka"], ["1", "Kuopio"], ["1", "Lahti"], ["1", "Mariehamn"], ["1", "Turku"], ["1", "Valkeakoski"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"]]	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 manager name and district of the shop whose number of products is the largest.	[["Ilkka M\u00e4kel\u00e4", "Lahden Stadion"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"]]	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 manager name and district of the shop that sells the largest number of products?	[["Ilkka M\u00e4kel\u00e4", "Lahden Stadion"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"]]	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 minimum and maximum number of products of all stores.	[["1600", "15000"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]	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 minimum and maximum number of products across all the shops?	[["1600", "15000"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]	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, location and district of all shops in descending order of number of products.	[["FC Lahti", "Lahti", "Lahden Stadion"], ["HJK", "Helsinki", "Finnair Stadium"], ["FC Inter", "Turku", "Veritas Stadion"], ["FC Honka", "Espoo", "Tapiolan Urheilupuisto"], ["FF Jaro", "Jakobstad", "Jakobstads Centralplan"], ["FC KooTeePee", "Kotka", "Arto Tolsa Areena"], ["FC Haka", "Valkeakoski", "Tehtaan kentt\u00e4"], ["KuPS", "Kuopio", "Magnum Areena"], ["IFK Mariehamn", "Mariehamn", "Wikl\u00f6f Holding Arena"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]	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:Sort all the shops by number products in descending order, and return the name, location and district of each shop.	[["FC Lahti", "Lahti", "Lahden Stadion"], ["HJK", "Helsinki", "Finnair Stadium"], ["FC Inter", "Turku", "Veritas Stadion"], ["FC Honka", "Espoo", "Tapiolan Urheilupuisto"], ["FF Jaro", "Jakobstad", "Jakobstads Centralplan"], ["FC KooTeePee", "Kotka", "Arto Tolsa Areena"], ["FC Haka", "Valkeakoski", "Tehtaan kentt\u00e4"], ["KuPS", "Kuopio", "Magnum Areena"], ["IFK Mariehamn", "Mariehamn", "Wikl\u00f6f Holding Arena"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]	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 names of stores whose number products is more than the average number of products.	[["HJK"], ["FC Inter"], ["FC Lahti"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"]]	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 shops' number products is above the average? Give me the shop names.	[["HJK"], ["FC Inter"], ["FC Lahti"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["3", "Mark Regan", "43", "Bristol"], ["10", "Louis Deacon", "36", "Leicester"], ["1", "George Chuter", "23", "Bristol"], ["9", "Steve Borthwick", "32", "Bath"], ["4", "Jason Hobson", "30", "Bristol"], ["5", "Tim Payne", "29", "Wasps"], ["6", "Andrew Sheridan", "28", "Sale"], ["2", "Lee Mears", "29", "Bath"], ["7", "Matt Stevens", "29", "Bath"], ["8", "Phil Vickery", "40", "Wasps"]]Table evaluation: [["Employee_ID", "Year_awarded", "Bonus"], ["10", "2016", "4000.0"], ["1", "2011", "3000.0"], ["1", "2016", "2900.0"], ["7", "2018", "3200.0"], ["2", "2015", "3200.0"], ["4", "2017", "3200.0"]]	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:find the name of employee who was awarded the most times in the evaluation.	[["George Chuter"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["3", "Mark Regan", "43", "Bristol"], ["9", "Steve Borthwick", "32", "Bath"], ["10", "Louis Deacon", "36", "Leicester"], ["1", "George Chuter", "23", "Bristol"], ["4", "Jason Hobson", "30", "Bristol"], ["2", "Lee Mears", "29", "Bath"], ["5", "Tim Payne", "29", "Wasps"], ["6", "Andrew Sheridan", "28", "Sale"], ["8", "Phil Vickery", "40", "Wasps"], ["7", "Matt Stevens", "29", "Bath"]]Table evaluation: [["Employee_ID", "Year_awarded", "Bonus"], ["10", "2016", "4000.0"], ["1", "2016", "2900.0"], ["1", "2011", "3000.0"], ["2", "2015", "3200.0"], ["7", "2018", "3200.0"], ["4", "2017", "3200.0"]]	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:Which employee received the most awards in evaluations? Give me the employee name.	[["George Chuter"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["1", "George Chuter", "23", "Bristol"], ["3", "Mark Regan", "43", "Bristol"], ["6", "Andrew Sheridan", "28", "Sale"], ["4", "Jason Hobson", "30", "Bristol"], ["9", "Steve Borthwick", "32", "Bath"], ["10", "Louis Deacon", "36", "Leicester"], ["5", "Tim Payne", "29", "Wasps"], ["7", "Matt Stevens", "29", "Bath"], ["2", "Lee Mears", "29", "Bath"], ["8", "Phil Vickery", "40", "Wasps"]]Table evaluation: [["Employee_ID", "Year_awarded", "Bonus"], ["10", "2016", "4000.0"], ["1", "2016", "2900.0"], ["1", "2011", "3000.0"], ["4", "2017", "3200.0"], ["2", "2015", "3200.0"], ["7", "2018", "3200.0"]]	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:Find the name of the employee who got the highest one time bonus.	[["Louis Deacon"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["1", "George Chuter", "23", "Bristol"], ["3", "Mark Regan", "43", "Bristol"], ["9", "Steve Borthwick", "32", "Bath"], ["6", "Andrew Sheridan", "28", "Sale"], ["5", "Tim Payne", "29", "Wasps"], ["10", "Louis Deacon", "36", "Leicester"], ["4", "Jason Hobson", "30", "Bristol"], ["2", "Lee Mears", "29", "Bath"], ["8", "Phil Vickery", "40", "Wasps"], ["7", "Matt Stevens", "29", "Bath"]]Table evaluation: [["Employee_ID", "Year_awarded", "Bonus"], ["10", "2016", "4000.0"], ["1", "2016", "2900.0"], ["1", "2011", "3000.0"], ["4", "2017", "3200.0"], ["2", "2015", "3200.0"], ["7", "2018", "3200.0"]]	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:Which employee received the biggest bonus? Give me the employee name.	[["Louis Deacon"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["3", "Mark Regan", "43", "Bristol"], ["4", "Jason Hobson", "30", "Bristol"], ["1", "George Chuter", "23", "Bristol"], ["10", "Louis Deacon", "36", "Leicester"], ["5", "Tim Payne", "29", "Wasps"], ["8", "Phil Vickery", "40", "Wasps"], ["2", "Lee Mears", "29", "Bath"], ["9", "Steve Borthwick", "32", "Bath"], ["6", "Andrew Sheridan", "28", "Sale"], ["7", "Matt Stevens", "29", "Bath"]]Table evaluation: [["Employee_ID", "Year_awarded", "Bonus"], ["10", "2016", "4000.0"], ["1", "2011", "3000.0"], ["7", "2018", "3200.0"], ["1", "2016", "2900.0"], ["2", "2015", "3200.0"], ["4", "2017", "3200.0"]]	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:Find the names of employees who never won any award in the evaluation.	[["Mark Regan"], ["Tim Payne"], ["Andrew Sheridan"], ["Phil Vickery"], ["Steve Borthwick"]]	2,048	Answer:
Table employee: [["Employee_ID", "Name", "Age", "City"], ["3", "Mark Regan", "43", "Bristol"], ["1", "George Chuter", "23", "Bristol"], ["4", "Jason Hobson", "30", "Bristol"], ["5", "Tim Payne", "29", "Wasps"], ["10", "Louis Deacon", "36", "Leicester"], ["8", "Phil Vickery", "40", "Wasps"], ["2", "Lee Mears", "29", "Bath"], ["9", "Steve Borthwick", "32", "Bath"], ["6", "Andrew Sheridan", "28", "Sale"], ["7", "Matt Stevens", "29", "Bath"]]Table evaluation: [["Employee_ID", "Year_awarded", "Bonus"], ["10", "2016", "4000.0"], ["7", "2018", "3200.0"], ["1", "2016", "2900.0"], ["2", "2015", "3200.0"], ["1", "2011", "3000.0"], ["4", "2017", "3200.0"]]	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 are the names of the employees who never received any evaluation?	[["Mark Regan"], ["Tim Payne"], ["Andrew Sheridan"], ["Phil Vickery"], ["Steve Borthwick"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["8", "3", "2011", "F"], ["1", "1", "2009", "T"], ["6", "7", "2008", "T"], ["2", "6", "2010", "F"], ["1", "2", "2003", "T"], ["5", "5", "2013", "T"], ["4", "4", "2012", "T"]]	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 shop that is hiring the largest number of employees?	[["FC Haka"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["1", "1", "2009", "T"], ["8", "3", "2011", "F"], ["6", "7", "2008", "T"], ["2", "6", "2010", "F"], ["1", "2", "2003", "T"], ["5", "5", "2013", "T"], ["4", "4", "2012", "T"]]	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 shop has the most employees? Give me the shop name.	[["FC Haka"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["1", "1", "2009", "T"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["1", "2", "2003", "T"], ["6", "7", "2008", "T"], ["2", "6", "2010", "F"], ["8", "3", "2011", "F"], ["5", "5", "2013", "T"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["4", "4", "2012", "T"]]	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 name of the shops that do not hire any employee.	[["FC Honka"], ["KuPS"], ["IFK Mariehamn"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["8", "3", "2011", "F"], ["6", "7", "2008", "T"], ["1", "1", "2009", "T"], ["2", "6", "2010", "F"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["5", "5", "2013", "T"], ["1", "2", "2003", "T"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["4", "4", "2012", "T"]]	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 shops run with no employees? Find the shop names	[["FC Honka"], ["KuPS"], ["IFK Mariehamn"]]	2,048	Answer:
Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["8", "3", "2011", "F"], ["1", "1", "2009", "T"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["6", "7", "2008", "T"], ["2", "6", "2010", "F"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["5", "5", "2013", "T"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["1", "2", "2003", "T"], ["4", "4", "2012", "T"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]	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 employees hired in each shop; show the shop name as well.	[["2", "FC Haka"], ["1", "FC Inter"], ["1", "FC KooTeePee"], ["1", "FC Lahti"], ["1", "FF Jaro"], ["1", "HJK"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["6", "7", "2008", "T"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["1", "1", "2009", "T"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["8", "3", "2011", "F"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["2", "6", "2010", "F"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["1", "2", "2003", "T"], ["5", "5", "2013", "T"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"]]Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["4", "4", "2012", "T"]]Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]	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:For each shop, return the number of employees working there and the name of the shop.	[["2", "FC Haka"], ["1", "FC Inter"], ["1", "FC KooTeePee"], ["1", "FC Lahti"], ["1", "FF Jaro"], ["1", "HJK"]]	2,048	Answer:
Table evaluation: [["Employee_ID", "Year_awarded", "Bonus"], ["10", "2016", "4000.0"], ["2", "2015", "3200.0"], ["1", "2016", "2900.0"], ["7", "2018", "3200.0"], ["1", "2011", "3000.0"], ["4", "2017", "3200.0"]]	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 total bonus given in all evaluations?	[["19500.0"]]	2,048	Answer:
Table evaluation: [["Employee_ID", "Year_awarded", "Bonus"], ["10", "2016", "4000.0"], ["1", "2011", "3000.0"], ["1", "2016", "2900.0"], ["2", "2015", "3200.0"], ["7", "2018", "3200.0"], ["4", "2017", "3200.0"]]	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:Find the total amount of bonus given in all the evaluations.	[["19500.0"]]	2,048	Answer:
Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["6", "7", "2008", "T"], ["1", "1", "2009", "T"], ["5", "5", "2013", "T"], ["8", "3", "2011", "F"], ["1", "2", "2003", "T"], ["2", "6", "2010", "F"], ["4", "4", "2012", "T"]]	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 me all the information about hiring.	[["1", "1", "2009", "T"], ["1", "2", "2003", "T"], ["8", "3", "2011", "F"], ["4", "4", "2012", "T"], ["5", "5", "2013", "T"], ["2", "6", "2010", "F"], ["6", "7", "2008", "T"]]	2,048	Answer:
Table hiring: [["Shop_ID", "Employee_ID", "Start_from", "Is_full_time"], ["8", "3", "2011", "F"], ["6", "7", "2008", "T"], ["1", "2", "2003", "T"], ["1", "1", "2009", "T"], ["2", "6", "2010", "F"], ["5", "5", "2013", "T"], ["4", "4", "2012", "T"]]	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 all the information about hiring?	[["1", "1", "2009", "T"], ["1", "2", "2003", "T"], ["8", "3", "2011", "F"], ["4", "4", "2012", "T"], ["5", "5", "2013", "T"], ["2", "6", "2010", "F"], ["6", "7", "2008", "T"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"]]	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 district has both stores with less than 3000 products and stores with more than 10000 products?	[]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"]]	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 districts in which there are both shops selling less than 3000 products and shops selling more than 10000 products.	[]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]	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 store locations are there?	[["9"]]	2,048	Answer:
Table shop: [["Shop_ID", "Name", "Location", "District", "Number_products", "Manager_name"], ["5", "FF Jaro", "Jakobstad", "Jakobstads Centralplan", "5000", "Mika Laurikainen"], ["7", "KuPS", "Kuopio", "Magnum Areena", "3500", "Kai Nyyssönen"], ["9", "IFK Mariehamn", "Mariehamn", "Wiklöf Holding Arena", "1600", "Pekka Lyyski"], ["2", "HJK", "Helsinki", "Finnair Stadium", "10770", "Antti Muurinen"], ["3", "FC Honka", "Espoo", "Tapiolan Urheilupuisto", "6000", "Mika Lehkosuo"], ["1", "FC Haka", "Valkeakoski", "Tehtaan kenttä", "3516", "Olli Huttunen"], ["6", "FC KooTeePee", "Kotka", "Arto Tolsa Areena", "4780", "Tommi Kautonen"], ["4", "FC Inter", "Turku", "Veritas Stadion", "10000", "Job Dragtsma"], ["8", "FC Lahti", "Lahti", "Lahden Stadion", "15000", "Ilkka Mäkelä"]]	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 distinct store locations.	[["9"]]	2,048	Answer:
Table Documents: [["Document_ID", "Template_ID", "Document_Name", "Document_Description", "Other_Details"], ["651512", "21", "How to write a CV", "f", "None"], ["3540024", "8", "Palm reading", "y", "None"], ["82", "11", "Data base", "w", "None"], ["1", "25", "Understanding DB", "y", "None"], ["33930", "1", "How Google people work", "z", "None"], ["16514113", "25", "A history of Arts", "h", "None"], ["3830", "14", "Do not panic", "k", "None"], ["801801", "4", "How to read a book", "w", "None"], ["76", "20", "Robbin CV", "y", "None"], ["3", "6", "Summer Show", "u", "None"], ["50123", "22", "Learning French", "r", "None"], ["2394", "10", "Customer reviews", "y", "None"], ["0", "7", "Introduction of OS", "n", "None"], ["80", "14", "Welcome to NY", "h", "None"], ["385906526", "11", "About Korea", "b", "None"]]	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 documents do we have?	[["15"]]	2,048	Answer:
Table Documents: [["Document_ID", "Template_ID", "Document_Name", "Document_Description", "Other_Details"], ["16514113", "25", "A history of Arts", "h", "None"], ["651512", "21", "How to write a CV", "f", "None"], ["82", "11", "Data base", "w", "None"], ["3540024", "8", "Palm reading", "y", "None"], ["801801", "4", "How to read a book", "w", "None"], ["76", "20", "Robbin CV", "y", "None"], ["1", "25", "Understanding DB", "y", "None"], ["2394", "10", "Customer reviews", "y", "None"], ["33930", "1", "How Google people work", "z", "None"], ["3830", "14", "Do not panic", "k", "None"], ["3", "6", "Summer Show", "u", "None"], ["385906526", "11", "About Korea", "b", "None"], ["0", "7", "Introduction of OS", "n", "None"], ["50123", "22", "Learning French", "r", "None"], ["80", "14", "Welcome to NY", "h", "None"]]	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 documents.	[["15"]]	2,048	Answer:
Table Documents: [["Document_ID", "Template_ID", "Document_Name", "Document_Description", "Other_Details"], ["651512", "21", "How to write a CV", "f", "None"], ["801801", "4", "How to read a book", "w", "None"], ["33930", "1", "How Google people work", "z", "None"], ["16514113", "25", "A history of Arts", "h", "None"], ["3540024", "8", "Palm reading", "y", "None"], ["1", "25", "Understanding DB", "y", "None"], ["2394", "10", "Customer reviews", "y", "None"], ["82", "11", "Data base", "w", "None"], ["76", "20", "Robbin CV", "y", "None"], ["3830", "14", "Do not panic", "k", "None"], ["385906526", "11", "About Korea", "b", "None"], ["50123", "22", "Learning French", "r", "None"], ["80", "14", "Welcome to NY", "h", "None"], ["0", "7", "Introduction of OS", "n", "None"], ["3", "6", "Summer Show", "u", "None"]]	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 document IDs, document names, and document descriptions for all documents.	[["0", "Introduction of OS", "n"], ["1", "Understanding DB", "y"], ["3", "Summer Show", "u"], ["76", "Robbin CV", "y"], ["80", "Welcome to NY", "h"], ["82", "Data base", "w"], ["2394", "Customer reviews", "y"], ["3830", "Do not panic", "k"], ["33930", "How Google people work", "z"], ["50123", "Learning French", "r"], ["651512", "How to write a CV", "f"], ["801801", "How to read a book", "w"], ["3540024", "Palm reading", "y"], ["16514113", "A history of Arts", "h"], ["385906526", "About Korea", "b"]]	2,048	Answer:

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