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 singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["5", "Jacqueline Mars", "1940.0", "17.8", "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... | [["8"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["2", "Christy Walton", "1948.0", "28.8", "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... | [["8"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["3", "Alice Walton", "1949.0", "26.3", "United Stat... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Abigail Johnson"], ["Susanne Klatten"], ["Gina Rinehart"], ["Iris Fontbona"], ["Jacqueline Mars"], ["Alice Walton"], ["Christy Walton"], ["Liliane Bettencourt"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["3", "Alice Walton", "1949.0", "26.3", "United States"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["6", "Gina Rinehart", "1953.0", "17.0", "Australia"... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Abigail Johnson"], ["Susanne Klatten"], ["Gina Rinehart"], ["Iris Fontbona"], ["Jacqueline Mars"], ["Alice Walton"], ["Christy Walton"], ["Liliane Bettencourt"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "F... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["1944.0", "France"], ["1948.0", "United States"], ["1949.0", "United States"], ["1942.0", "Chile"], ["1940.0", "United States"], ["1953.0", "Australia"], ["1962.0", "Germany"], ["1961.0", "United States"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["1944.0", "France"], ["1948.0", "United States"], ["1949.0", "United States"], ["1942.0", "Chile"], ["1940.0", "United States"], ["1953.0", "Australia"], ["1962.0", "Germany"], ["1961.0", "United States"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["2", "Christy Walton", "1948.0", "28.8", "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... | [["Christy Walton"], ["Alice Walton"], ["Iris Fontbona"], ["Jacqueline Mars"], ["Gina Rinehart"], ["Susanne Klatten"], ["Abigail Johnson"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["6", "Gina Rinehart", "1953.0", "17.0", "Australia"], ["... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Christy Walton"], ["Alice Walton"], ["Iris Fontbona"], ["Jacqueline Mars"], ["Gina Rinehart"], ["Susanne Klatten"], ["Abigail Johnson"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["3", "Alice Walton", "1949.0", "26.3", "United States"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["6", "Gina Rinehart", "1953.0", "17.0", "Australia"], ["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... | [["Christy Walton"], ["Alice Walton"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["3", "Alice Walton", "1949.0", "26.3", "United States"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["6", "Gina Rinehart", "1953.0", "17.0", "Australia"], ["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... | [["Christy Walton"], ["Alice Walton"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["3", "Alice Walton", "1949.0", "26.3", "United States"], ["8", "Abigail Johnson", "1961.0", "12.7", "United Stat... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Liliane Bettencourt"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["2", "Christy Walton", "1948.0", "28.8", "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... | [["Liliane Bettencourt"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["8", "Abigail Johnson", "1961.0", "12.7", "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... | [["Australia", "1"], ["Chile", "1"], ["France", "1"], ["Germany", "1"], ["United States", "4"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["5", "Jacqueline Mars", "1940.0", "17.8", "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... | [["Australia", "1"], ["Chile", "1"], ["France", "1"], ["Germany", "1"], ["United States", "4"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["5", "Jacqueline Mars", "1940.0", "17.8", "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... | [["United States"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["United States"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["2", "Christy Walton", "1948.0", "28.8", "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... | [["Australia", "17.0"], ["Chile", "17.4"], ["France", "30.0"], ["Germany", "14.3"], ["United States", "28.8"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["3", "Alice Walton", "1949.0", "26.3", "United States"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "Fra... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Australia", "17.0"], ["Chile", "17.4"], ["France", "30.0"], ["Germany", "14.3"], ["United States", "28.8"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["2", "Christy Walton", "1948.0", "28.8", "United States"]]Table song: [["Song_ID", "Title", "Singer_ID", "Sales", "Highest_Position"], ["1", "Do They Know It's Christmas... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Do They Know It's Christmas", "Liliane Bettencourt"], ["F**k It [I Don't Want You Back]", "Liliane Bettencourt"], ["Cha Cha Slide", "Christy Walton"], ["Call on Me", "Iris Fontbona"], ["Yeah", "Christy Walton"], ["All This Time", "Gina Rinehart"], ["Left Outside Alone", "Jacqueline Mars"], ["Mysterious Girl", "Susan... | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"]]Table song: [["Song_ID", "Title", "Singer_ID", "Sales", "Highest_Position"], ["2", "F**k It (I Don't Want You ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Do They Know It's Christmas", "Liliane Bettencourt"], ["F**k It [I Don't Want You Back]", "Liliane Bettencourt"], ["Cha Cha Slide", "Christy Walton"], ["Call on Me", "Iris Fontbona"], ["Yeah", "Christy Walton"], ["All This Time", "Gina Rinehart"], ["Left Outside Alone", "Jacqueline Mars"], ["Mysterious Girl", "Susan... | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["2", "Christy Walton", "1948.0", "28.8", "United States"]]Table song: [["Song_ID", "Title", "Singer_ID", "Sales", "Highest_Position"], ["6", "All This Time", "6", "292000.0", "1.0"]]Table singer: [["Singer_ID", "Name", "Birth_Year... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Liliane Bettencourt"], ["Christy Walton"], ["Iris Fontbona"]] | 2,048 | Answer: |
Table song: [["Song_ID", "Title", "Singer_ID", "Sales", "Highest_Position"], ["6", "All This Time", "6", "292000.0", "1.0"]]Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["2", "Christy Walton", "1948.0", "28.8", "United... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Liliane Bettencourt"], ["Christy Walton"], ["Iris Fontbona"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["2", "Christy Walton", "1948.0", "28.8", "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... | [["Christy Walton"], ["Liliane Bettencourt"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"], ["2", "Christy Walton", "1948.0", "28.8", "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... | [["Christy Walton"], ["Liliane Bettencourt"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United States"]]Table song: [["Song_ID", "Title", "Singer_ID", "Sa... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Christy Walton", "651421.0"], ["Gina Rinehart", "292000.0"], ["Iris Fontbona", "335000.0"], ["Jacqueline Mars", "275000.0"], ["Liliane Bettencourt", "1646407.0"], ["Susanne Klatten", "261000.0"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"]]Table song: [["Song_ID", "Title", "Singer_ID", "Sales", "Highest_Position"], ["2", "F**k It (I Don't Want You Back)", "1", "552407.0", "1.0"]]Table singer: [["Singer_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... | [["Christy Walton", "651421.0"], ["Gina Rinehart", "292000.0"], ["Iris Fontbona", "335000.0"], ["Jacqueline Mars", "275000.0"], ["Liliane Bettencourt", "1646407.0"], ["Susanne Klatten", "261000.0"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["1", "Liliane Bettencourt", "1944.0", "30.0", "France"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["2", "Christy Walton", "1948.0", "28.8", "United States"]]Table song: [["Song_ID", "Title", "Singer_ID", "Sales", "Hi... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Alice Walton"], ["Abigail Johnson"]] | 2,048 | Answer: |
Table song: [["Song_ID", "Title", "Singer_ID", "Sales", "Highest_Position"], ["1", "Do They Know It's Christmas", "1", "1094000.0", "1.0"], ["2", "F**k It (I Don't Want You Back)", "1", "552407.0", "1.0"], ["7", "Left Outside Alone", "5", "275000.0", "3.0"]]Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Alice Walton"], ["Abigail Johnson"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["5", "Jacqueline Mars", "1940.0", "17.8", "United Stat... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["United States"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Birth_Year", "Net_Worth_Millions", "Citizenship"], ["2", "Christy Walton", "1948.0", "28.8", "United States"], ["7", "Susanne Klatten", "1962.0", "14.3", "Germany"], ["8", "Abigail Johnson", "1961.0", "12.7", "United States"], ["3", "Alice Walton", "1949.0", "26.3", "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... | [["United States"]] | 2,048 | Answer: |
Table Other_Available_Features: [["feature_id", "feature_type_code", "feature_name", "feature_description"], ["3", "Amenity", "Pool", "Swimming Pool."], ["2", "Amenity", "AirCon", "Air Conditioning."], ["4", "Security", "BurglarAlarm", "Burglar Alarm"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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"]] | 2,048 | Answer: |
Table Other_Available_Features: [["feature_id", "feature_type_code", "feature_name", "feature_description"], ["2", "Amenity", "AirCon", "Air Conditioning."]]Table Ref_Feature_Types: [["feature_type_code", "feature_type_name"], ["Amenity", "Amenity, eg Pool."]]Table Other_Available_Features: [["feature_id", "feature_typ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Amenity, eg Pool."]] | 2,048 | Answer: |
Table Ref_Property_Types: [["property_type_code", "property_type_description"], ["House", "House, Bungalow, etc."], ["Apartment", "Apartment, Flat, Condo, etc."]]Table Properties: [["property_id", "property_type_code", "date_on_market", "date_sold", "property_name", "property_address", "room_count", "vendor_requested_p... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["Apartment, Flat, Condo, etc."], ["Field, Meadow."], ["House, Bungalow, etc."], ["Other, to be determined."], ["Shop, Retail Outlet."]] | 2,048 | Answer: |
Table Properties: [["property_id", "property_type_code", "date_on_market", "date_sold", "property_name", "property_address", "room_count", "vendor_requested_price", "buyer_offered_price", "agreed_selling_price", "apt_feature_1", "apt_feature_2", "apt_feature_3", "fld_feature_1", "fld_feature_2", "fld_feature_3", "hse_f... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a 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... | [["longacre"], ["parc coliseum"], ["parc east"], ["park"], ["renoir"], ["ten tower"], ["the cole"], ["vogue"]] | 2,048 | Answer: |
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