context stringlengths 130 6.32k | question stringlengths 1.42k 1.58k | answer stringlengths 2 496k | max_new_tokens int64 2.05k 2.05k | answer_prefix stringclasses 1
value |
|---|---|---|---|---|
Table 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 S... | 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 a... | [["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 ", "... | 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 a... | [] | 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 ", "... | 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 a... | [] | 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", "4... | 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 a... | [["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", "... | 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 a... | [["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",... | 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 a... | [["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... | 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 a... | [["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: [[... | 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 a... | [["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", "94... | 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 a... | [["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 ", "... | 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 a... | [["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", "... | 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 a... | [["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 I... | 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 a... | [["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 I... | 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 a... | [["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", "... | 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 a... | [["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", "... | 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 a... | [["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"... | 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 a... | [["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"... | 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 a... | [["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"... | 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 a... | [["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"... | 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 a... | [["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", "N... | 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 a... | [["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", "N... | 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 a... | [["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"]... | 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 a... | [] | 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"]... | 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 a... | [] | 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"]... | 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 a... | [] | 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 "... | 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 a... | [] | 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", ... | 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 a... | [] | 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"... | 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 a... | [] | 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... | 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 a... | [] | 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... | 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 a... | [] | 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", "Southwes... | 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 a... | [["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", "Northwes... | 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 a... | [["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", "... | 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 a... | [["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",... | 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 a... | [["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", "South... | 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 a... | [] | 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"... | 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 a... | [] | 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"... | 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 a... | [] | 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", ... | 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 a... | [] | 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", "Contin... | 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 a... | [] | 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", "USAi... | 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 a... | [] | 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", "... | 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 a... | [] | 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 Airl... | 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 a... | [] | 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", "N... | 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 a... | [["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"... | 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 a... | [["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", "Sout... | 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 a... | [["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", "Ai... | 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 a... | [["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", "Contine... | 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 a... | [["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"], ["5... | 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", "Contine... | 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 a... | [["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"], ["5... | 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... | 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 a... | [] | 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", "... | 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 a... | [] | 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"], ["... | 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 a... | [] | 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", "... | 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 a... | [] | 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", "9... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | [] | 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", "94... | 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 a... | [] | 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", "9... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | [] | 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", "9... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | [] | 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 ", ... | 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 a... | [["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 ", ... | 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 a... | [["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 "... | 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 a... | [["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 Internationa... | 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 "... | 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 a... | [["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 Internationa... | 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... | 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 a... | [["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"... | 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 a... | [["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", "... | 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 a... | [["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", "... | 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 a... | [["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... | 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 a... | [["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... | 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 a... | [["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", "Ba... | 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 a... | [["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... | 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 a... | [["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 ... | 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 a... | [["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... | 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 a... | [["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... | 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 a... | [["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",... | 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 a... | [["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 Nyy... | 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 a... | [["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 ... | 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 a... | [["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 Lauri... | 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 a... | [["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... | 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 Lauri... | 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 a... | [["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... | 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... | 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 a... | [["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 ... | 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 a... | [["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", "... | 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 a... | [["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", "W... | 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 a... | [["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", "2... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | [["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"... | 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 a... | [["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", "Ba... | 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 a... | [["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", "Ba... | 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 a... | [["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... | 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 a... | [["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",... | 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 a... | [["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"],... | 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 a... | [["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"],... | 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 a... | [["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", ... | 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 a... | [["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", "... | 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 a... | [["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 a... | [["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 a... | [["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 a... | [["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 a... | [["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"... | 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 a... | [] | 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"],... | 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 a... | [] | 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... | 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 a... | [["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 ... | 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 a... | [["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 ... | 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 a... | [["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", "Ho... | 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 a... | [["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"],... | 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 a... | [["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"], [... | 2,048 | Answer: |
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