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Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the content of the series Sky Radio? | [["music"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the Package Option of TV Channel with serial name "Sky Radio"? | [["Sky Famiglia"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the Package Options of the TV Channels whose series names are Sky Radio? | [["Sky Famiglia"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:How many TV Channel using language English? | [["3"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:How many TV Channels use the English language? | [["3"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the language used least number of TV Channel. List language and number of TV Channel. | [["English", "3"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the languages used by the least number of TV Channels and how many channels use it? | [["English", "3"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List each language and the number of TV Channels using it. | [["English", "3"], ["Italian", "12"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:For each language, list the number of TV Channels that use it. | [["English", "3"], ["Italian", "12"]] | 2,048 | Answer: |
Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the TV Channel that shows the cartoon "The Rise of the Blue Beetle!"? List the TV Channel's series name. | [["Sky Radio"]] | 2,048 | Answer: |
Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the series name of the TV Channel that shows the cartoon "The Rise of the Blue Beetle"? | [["Sky Radio"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"]]Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"]]Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"]]Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"]]Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the title of all Cartoons showed on TV Channel with series name "Sky Radio". | [["The Rise of the Blue Beetle!"], ["Return of the Fearsome Fangs!"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"]]Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"]]Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"]]Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table Cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the title of all the cartools that are on the TV Channel with the series name "Sky Radio"? | [["The Rise of the Blue Beetle!"], ["Return of the Fearsome Fangs!"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the Episode of all TV series sorted by rating. | [["The Hanged Man"], ["Double Down"], ["Home By Another Way"], ["Keepers"], ["Emily"], ["Blowback"], ["The Legend of Dylan McCleen"], ["Winterland"], ["The Year of the Rabbit"], ["Game Three"], ["Friendly Skies"], ["A Love of a Lifetime"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are all of the episodes ordered by ratings? | [["The Hanged Man"], ["Double Down"], ["Home By Another Way"], ["Keepers"], ["Emily"], ["Blowback"], ["The Legend of Dylan McCleen"], ["Winterland"], ["The Year of the Rabbit"], ["Game Three"], ["Friendly Skies"], ["A Love of a Lifetime"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List top 3 highest Rating TV series. List the TV series's Episode and Rating. | [["A Love of a Lifetime", "5.8"], ["Friendly Skies", "5.3"], ["Game Three", "4.4"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are 3 most highly rated episodes in the TV series table and what were those ratings? | [["A Love of a Lifetime", "5.8"], ["Friendly Skies", "5.3"], ["Game Three", "4.4"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is minimum and maximum share of TV series? | [["9.0", "5.0"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the maximum and minimum share for the TV series? | [["9.0", "5.0"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the air date of TV series with Episode "A Love of a Lifetime"? | [["September 24, 2007"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:When did the episode "A Love of a Lifetime" air? | [["September 24, 2007"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is Weekly Rank of TV series with Episode "A Love of a Lifetime"? | [["43.0"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the weekly rank for the episode "A Love of a Lifetime"? | [["43.0"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the TV Channel of TV series with Episode "A Love of a Lifetime"? List the TV Channel's series name. | [["Sky Radio"]] | 2,048 | Answer: |
Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the name of the series that has the episode "A Love of a Lifetime"? | [["Sky Radio"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the Episode of all TV series showed on TV Channel with series name "Sky Radio". | [["A Love of a Lifetime"], ["Keepers"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["12.0", "The Hanged Man", "December 17, 2007", "3.0", "5.0", "1.5/4", "4.24", "65.0", "714"], ["2.0", "Friendly Skies", "October 1, 2007", "5.3", "9.0", "3.2/8", "8.23", "50.0", "701"], ["4.0", "The Year of the Rabbit", "October 15, 2007", "4.3", "7.0", "2.7/7", "6.75", "67.0", "713"], ["5.0", "The Legend of Dylan McCleen", "October 22, 2007", "3.8", "6.0", "2.4/6", "6.06", "72.0", "714"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["3.0", "Game Three", "October 8, 2007", "4.4", "7.0", "2.9/7", "6.94", "61.0", "707"], ["8.0", "Winterland", "November 12, 2007", "4.0", "7.0", "2.4/6", "6.09", "70.0", "707"], ["1.0", "A Love of a Lifetime", "September 24, 2007", "5.8", "9.0", "3.5/9", "9.16", "43.0", "700"], ["11.0", "Home By Another Way", "December 10, 2007", "3.5", "6.0", "1.7/5", "5.28", "62.0", "728"], ["6.0", "Keepers", "October 29, 2007", "3.7", "6.0", "2.2/6", "5.75", "71.0", "700"], ["7.0", "Double Down", "November 5, 2007", "3.4", "6.0", "2.1/5", "5.13", "80.0", "708"], ["10.0", "Blowback", "November 26, 2007", "3.7", "6.0", "2.4/6", "6.05", "68.0", "719"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]]Table TV_series: [["id", "Episode", "Air_Date", "Rating", "Share", "18_49_Rating_Share", "Viewers_m", "Weekly_Rank", "Channel"], ["9.0", "Emily", "November 19, 2007", "3.7", "6.0", "2.2/6", "5.61", "66.0", "717"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the episode for the TV series named "Sky Radio"? | [["A Love of a Lifetime"], ["Keepers"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Find the number of cartoons directed by each of the listed directors. | [["4", "Ben Jones"], ["4", "Brandon Vietti"], ["4", "Michael Chang"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:How many cartoons did each director create? | [["4", "Ben Jones"], ["4", "Brandon Vietti"], ["4", "Michael Chang"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Find the production code and channel of the most recently aired cartoon . | [["102.0", "701"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the produdction code and channel of the most recent cartoon ? | [["102.0", "701"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Find the package choice and series name of the TV channel that has high definition TV. | [["Sky Famiglia + Sky HD", "MTV Live HD"]] | 2,048 | Answer: |
Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the package options and the name of the series for the TV Channel that supports high definition TV? | [["Sky Famiglia + Sky HD", "MTV Live HD"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:which countries' tv channels are playing some cartoon written by Todd Casey? | [["United Kingdom"], ["Italy"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the countries that have cartoons on TV that were written by Todd Casey? | [["United Kingdom"], ["Italy"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:which countries' tv channels are not playing any cartoon written by Todd Casey? | [["Poland"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the countries that are not playing cartoons written by Todd Casey? | [["Poland"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Find the series name and country of the tv channel that is playing some cartoons directed by Ben Jones and Michael Chang? | [["MTV Dance", "United Kingdom"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the series name and country of all TV channels that are playing cartoons directed by Ben Jones and cartoons directed by Michael Chang? | [["MTV Dance", "United Kingdom"]] | 2,048 | Answer: |
Table tv_channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:find the pixel aspect ratio and nation of the tv channels that do not use English. | [["4:3", "Italy"], ["4:3", "Italy"], ["4:3 / 16:9", "Italy"], ["16:9", "Italy"], ["4:3", "Italy"], ["16:9", "Italy"], ["4:3", "Italy"], ["16:9", "Italy"], ["4:3 / 16:9", "Italy"], ["4:3 / 16:9", "Italy"], ["4:3", "Italy"], ["4:3", "Italy"]] | 2,048 | Answer: |
Table tv_channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the pixel aspect ratio and country of origin for all TV channels that do not use English? | [["4:3", "Italy"], ["4:3", "Italy"], ["4:3 / 16:9", "Italy"], ["16:9", "Italy"], ["4:3", "Italy"], ["16:9", "Italy"], ["4:3", "Italy"], ["16:9", "Italy"], ["4:3 / 16:9", "Italy"], ["4:3 / 16:9", "Italy"], ["4:3", "Italy"], ["4:3", "Italy"]] | 2,048 | Answer: |
Table tv_channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:find id of the tv channels that from the countries where have more than two tv channels. | [["700"]] | 2,048 | Answer: |
Table tv_channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the ids of all tv channels that have more than 2 TV channels? | [["700"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:find the id of tv channels that do not play any cartoon directed by Ben Jones. | [["701"], ["703"], ["705"], ["706"], ["708"], ["709"], ["713"], ["714"], ["715"], ["717"], ["719"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the ids of the TV channels that do not have any cartoons directed by Ben Jones? | [["701"], ["703"], ["705"], ["706"], ["708"], ["709"], ["713"], ["714"], ["715"], ["717"], ["719"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:find the package option of the tv channel that do not have any cartoon directed by Ben Jones. | [["Sky Famiglia"], ["Sky Famiglia"], ["Sky Famiglia"], ["Sky Famiglia"], ["no [ FTV ]"], ["Sky Famiglia + Sky HD"], ["no [ FTV ]"], ["Sky Famiglia"], ["Sky Famiglia"], ["Sky Famiglia"], ["Sky Famiglia"]] | 2,048 | Answer: |
Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["7.0", "Dawn of the Dead Man!", "Ben Jones", "Steven Melching", "January16,2009", "107.0", "707"], ["10.0", "The Eyes of Despero!", "Ben Jones", "J. M. DeMatteis", "February6,2009", "110.0", "728"], ["4.0", "Day of the Dark Knight!", "Ben Jones", "J. M. DeMatteis", "January2,2009", "104.0", "704"], ["11.0", "Return of the Fearsome Fangs!", "Brandon Vietti", "Todd Casey", "February20,2009", "111.0", "700"], ["6.0", "Enter the Outsiders!", "Michael Chang", "Todd Casey", "January9,2009", "106.0", "706"], ["1.0", "The Rise of the Blue Beetle!", "Ben Jones", "Michael Jelenic", "November14,2008", "101.0", "700"], ["5.0", "Invasion of the Secret Santas!", "Brandon Vietti", "Adam Beechen", "December12,2008", "105.0", "705"], ["9.0", "Journey to the Center of the Bat!", "Michael Chang", "Matt Wayne", "January30,2009", "109.0", "707"], ["2.0", "Terror on Dinosaur Island!", "Brandon Vietti", "Steven Melching", "November21,2008", "102.0", "701"], ["8.0", "Fall of the Blue Beetle!", "Brandon Vietti", "James Krieg", "January23,2009", "108.0", "708"], ["12.0", "Deep Cover for Batman!", "Michael Chang", "Joseph Kuhr", "February27,2009", "112.0", "707"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["717", "Rock TV", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"]]Table cartoon: [["id", "Title", "Directed_by", "Written_by", "Original_air_date", "Production_code", "Channel"], ["3.0", "Evil Under the Sea!", "Michael Chang", "Joseph Kuhr", "December5,2008", "103.0", "703"]]Table TV_Channel: [["id", "series_name", "Country", "Language", "Content", "Pixel_aspect_ratio_PAR", "Hight_definition_TV", "Pay_per_view_PPV", "Package_Option"], ["709", "MTV Live HD", "Poland", "English", "music", "16:9", "yes", "no", "Sky Famiglia + Sky HD"], ["719", "Hip Hop TV", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["706", "MTV Rocks", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["704", "MTV Hits", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["705", "MTV Classic", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["700", "Sky Radio", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["707", "MTV Dance", "United Kingdom", "English", "music", "16:9", "no", "no", "Sky Famiglia"], ["713", "Radio Capital TiVù", "Italy", "Italian", "music", "4:3", "no", "no", "no ( FTV )"], ["708", "MTV Music", "Italy", "Italian", "music", "16:9", "no", "no", "no ( FTV )"], ["701", "Sky Music", "Italy", "Italian", "music", "4:3", "no", "no", "Sky Famiglia"], ["715", "Match Music", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["703", "Music Box Italia", "Italy", "Italian", "music", "4:3 / 16:9", "no", "no", "Sky Famiglia"], ["714", "myDeejay", "Italy", "Italian", "music", "16:9", "no", "no", "Sky Famiglia"], ["728", "Classica", "Italy", "Italian", "music", "4:3", "no", "no", "Option"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the package options of all tv channels that are not playing any cartoons directed by Ben Jones? | [["Sky Famiglia"], ["Sky Famiglia"], ["Sky Famiglia"], ["Sky Famiglia"], ["no [ FTV ]"], ["Sky Famiglia + Sky HD"], ["no [ FTV ]"], ["Sky Famiglia"], ["Sky Famiglia"], ["Sky Famiglia"], ["Sky Famiglia"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:How many poker players are there? | [["5"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Count the number of poker players. | [["5"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the earnings of poker players in descending order. | [["596462.0"], ["476090.0"], ["189233.0"], ["142800.0"], ["104871.0"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the earnings of poker players, ordered descending by value? | [["596462.0"], ["476090.0"], ["189233.0"], ["142800.0"], ["104871.0"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the final tables made and the best finishes of poker players. | [["42.0", "1.0"], ["10.0", "2.0"], ["21.0", "1.0"], ["19.0", "2.0"], ["26.0", "3.0"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the final tables made and best finishes for all poker players? | [["42.0", "1.0"], ["10.0", "2.0"], ["21.0", "1.0"], ["19.0", "2.0"], ["26.0", "3.0"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the average earnings of poker players? | [["301891.2"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Return the average earnings across all poker players. | [["301891.2"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the money rank of the poker player with the highest earnings? | [["58.0"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Return the money rank of the player with the greatest earnings. | [["58.0"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the maximum number of final tables made among poker players with earnings less than 200000? | [["26.0"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Return the maximum final tables made across all poker players who have earnings below 200000. | [["26.0"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names of poker players? | [["Aleksey Ostapenko"], ["Teodor Salparov"], ["Yevgeni Sivozhelez"], ["Maksim Botin"], ["Semen Poltavskiy"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Return the names of all the poker players. | [["Aleksey Ostapenko"], ["Teodor Salparov"], ["Yevgeni Sivozhelez"], ["Maksim Botin"], ["Semen Poltavskiy"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names of poker players whose earnings is higher than 300000? | [["Aleksey Ostapenko"], ["Maksim Botin"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Give the names of poker players who have earnings above 300000. | [["Aleksey Ostapenko"], ["Maksim Botin"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the names of poker players ordered by the final tables made in ascending order. | [["Teodor Salparov"], ["Maksim Botin"], ["Yevgeni Sivozhelez"], ["Semen Poltavskiy"], ["Aleksey Ostapenko"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names of poker players, ordered ascending by the number of final tables they have made? | [["Teodor Salparov"], ["Maksim Botin"], ["Yevgeni Sivozhelez"], ["Semen Poltavskiy"], ["Aleksey Ostapenko"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the birth date of the poker player with the lowest earnings? | [["August 8, 1986"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Return the birth date of the poker player with the lowest earnings. | [["August 8, 1986"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the money rank of the tallest poker player? | [["68.0"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Return the money rank of the poker player with the greatest height. | [["68.0"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the average earnings of poker players with height higher than 200? | [["309445.0"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Give average earnings of poker players who are taller than 200. | [["309445.0"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names of poker players in descending order of earnings? | [["Maksim Botin"], ["Aleksey Ostapenko"], ["Teodor Salparov"], ["Semen Poltavskiy"], ["Yevgeni Sivozhelez"]] | 2,048 | Answer: |
Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Return the names of poker players sorted by their earnings descending. | [["Maksim Botin"], ["Aleksey Ostapenko"], ["Teodor Salparov"], ["Semen Poltavskiy"], ["Yevgeni Sivozhelez"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are different nationalities of people and the corresponding number of people from each nation? | [["Bulgaria", "1"], ["Russia", "6"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:How many people are there of each nationality? | [["Bulgaria", "1"], ["Russia", "6"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the most common nationality of people? | [["Russia"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Give the nationality that is most common across all people. | [["Russia"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the nationalities that are shared by at least two people? | [["Russia"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Return the nationalities for which there are two or more people. | [["Russia"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the names and birth dates of people in ascending alphabetical order of name. | [["Aleksey Ostapenko", "May 26, 1986"], ["Maksim Botin", "July 14, 1983"], ["Roman Bragin", "April 17, 1987"], ["Semen Poltavskiy", "February 8, 1981"], ["Sergey Grankin", "January 22, 1987"], ["Teodor Salparov", "August 16, 1982"], ["Yevgeni Sivozhelez", "August 8, 1986"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names and birth dates of people, ordered by their names in alphabetical order? | [["Aleksey Ostapenko", "May 26, 1986"], ["Maksim Botin", "July 14, 1983"], ["Roman Bragin", "April 17, 1987"], ["Semen Poltavskiy", "February 8, 1981"], ["Sergey Grankin", "January 22, 1987"], ["Teodor Salparov", "August 16, 1982"], ["Yevgeni Sivozhelez", "August 8, 1986"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Show names of people whose nationality is not "Russia". | [["Teodor Salparov"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names of people who are not from Russia? | [["Teodor Salparov"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the names of people that are not poker players. | [["Roman Bragin"], ["Sergey Grankin"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["2", "2", "10.0", "2.0", "141.0", "189233.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["1", "1", "42.0", "1.0", "68.0", "476090.0"], ["3", "5", "21.0", "1.0", "166.0", "104871.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["4", "6", "19.0", "2.0", "58.0", "596462.0"]]Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]]Table poker_player: [["Poker_Player_ID", "People_ID", "Final_Table_Made", "Best_Finish", "Money_Rank", "Earnings"], ["5", "7", "26.0", "3.0", "154.0", "142800.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names of people who do not play poker? | [["Roman Bragin"], ["Sergey Grankin"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:How many distinct nationalities are there? | [["2"]] | 2,048 | Answer: |
Table people: [["People_ID", "Nationality", "Name", "Birth_Date", "Height"], ["4", "Russia", "Sergey Grankin", "January 22, 1987", "193.0"], ["3", "Russia", "Roman Bragin", "April 17, 1987", "187.0"], ["7", "Russia", "Semen Poltavskiy", "February 8, 1981", "205.0"], ["6", "Russia", "Maksim Botin", "July 14, 1983", "194.0"], ["5", "Russia", "Yevgeni Sivozhelez", "August 8, 1986", "196.0"], ["2", "Bulgaria", "Teodor Salparov", "August 16, 1982", "182.0"], ["1", "Russia", "Aleksey Ostapenko", "May 26, 1986", "207.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Count the number of different nationalities. | [["2"]] | 2,048 | Answer: |
Table area_code_state: [["area_code", "state"], ["252", "NC"], ["201", "NJ"], ["309", "IL"], ["224", "IL"], ["253", "WA"], ["206", "WA"], ["626", "CA"], ["872", "IL"], ["630", "IL"], ["480", "AZ"], ["862", "NJ"], ["908", "NJ"], ["628", "CA"], ["331", "IL"], ["270", "KY"], ["669", "CA"], ["760", "CA"], ["213", "CA"], ["627", "CA"], ["336", "NC"], ["435", "UT"], ["415", "CA"], ["202", "DC"], ["212", "NY"], ["619", "CA"], ["732", "NJ"], ["510", "CA"], ["848", "NJ"], ["609", "NJ"], ["341", "CA"], ["369", "CA"], ["475", "CT"], ["910", "NC"], ["980", "NC"], ["661", "CA"], ["310", "CA"], ["319", "IA"], ["464", "IL"], ["337", "LA"], ["407", "FL"], ["618", "IL"], ["828", "NC"], ["856", "NJ"], ["260", "IN"], ["973", "NJ"], ["217", "IL"], ["623", "AZ"], ["312", "IL"], ["779", "IL"], ["773", "IL"], ["847", "IL"], ["864", "SC"], ["408", "CA"], ["315", "NY"], ["646", "NY"], ["803", "SC"], ["559", "CA"], ["949", "CA"], ["650", "CA"], ["909", "CA"], ["805", "CA"], ["347", "NY"], ["351", "MA"], ["236", "VA"], ["978", "MA"], ["334", "AL"], ["251", "AL"], ["551", "NJ"], ["225", "LA"], ["708", "IL"], ["764", "CA"], ["323", "CA"], ["562", "CA"], ["218", "MN"], ["602", "AZ"], ["815", "IL"], ["305", "FL"], ["209", "CA"], ["318", "LA"], ["843", "SC"], ["470", "GA"], ["818", "CA"], ["678", "GA"], ["530", "CA"], ["424", "CA"], ["858", "CA"], ["704", "NC"], ["505", "NM"], ["321", "FL"], ["762", "GA"], ["254", "TX"], ["203", "CT"], ["916", "CA"], ["385", "UT"], ["606", "KY"], ["951", "CA"], ["507", "MN"], ["747", "CA"], ["720", "CO"], ["352", "FL"], ["959", "CT"], ["831", "CA"], ["520", "AZ"], ["516", "NY"], ["984", "NC"], ["564", "WA"], ["518", "NY"], ["205", "AL"], ["763", "MN"], ["301", "MD"], ["509", "WA"], ["585", "NY"], ["304", "WV"], ["707", "CA"], ["256", "AL"], ["269", "MI"], ["607", "NY"], ["229", "GA"], ["928", "AZ"], ["214", "TX"], ["267", "PA"], ["276", "VA"], ["425", "WA"], ["919", "NC"], ["262", "WI"], ["651", "MN"], ["339", "MA"], ["325", "TX"], ["786", "FL"], ["714", "CA"], ["386", "FL"], ["859", "KY"], ["442", "CA"], ["706", "GA"], ["240", "MD"], ["935", "CA"], ["574", "IN"], ["478", "GA"], ["228", "MS"], ["757", "VA"], ["210", "TX"], ["303", "CO"], ["660", "MO"], ["952", "MN"], ["278", "MI"], ["317", "IN"], ["781", "MA"], ["215", "PA"], ["320", "MN"], ["508", "MA"], ["219", "IN"], ["727", "FL"], ["608", "WI"], ["434", "VA"], ["801", "UT"], ["540", "VA"], ["719", "CO"], ["765", "IN"], ["563", "IA"], ["878", "PA"], ["402", "NE"], ["502", "KY"], ["504", "LA"], ["901", "TN"], ["617", "MA"], ["631", "NY"], ["860", "CT"], ["612", "MN"], ["248", "MI"], ["423", "TN"], ["845", "NY"], ["283", "OH"], ["561", "FL"], ["774", "MA"], ["904", "FL"], ["689", "FL"], ["806", "TX"], ["770", "GA"], ["925", "CA"], ["231", "MI"], ["410", "MD"], ["308", "NE"], ["571", "VA"], ["409", "TX"], ["281", "TX"], ["754", "FL"], ["804", "VA"], ["850", "FL"], ["469", "TX"], ["432", "TX"], ["718", "NY"], ["772", "FL"], ["616", "MI"], ["610", "PA"], ["914", "NY"], ["380", "OH"], ["863", "FL"], ["917", "NY"], ["716", "NY"], ["865", "TN"], ["731", "TN"], ["985", "LA"], ["413", "MA"], ["314", "MO"], ["605", "SD"], ["316", "KS"], ["641", "IA"], ["857", "MA"], ["239", "FL"], ["615", "TN"], ["941", "FL"], ["360", "WA"], ["414", "WI"], ["956", "TX"], ["912", "GA"], ["586", "MI"], ["570", "PA"], ["401", "RI"], ["769", "MS"], ["906", "MI"], ["954", "FL"], ["936", "TX"], ["702", "NV"], ["679", "MI"], ["927", "FL"], ["812", "IN"], ["813", "FL"], ["703", "VA"], ["575", "NM"], ["979", "TX"], ["907", "AK"], ["903", "TX"], ["931", "TN"], ["775", "NV"], ["501", "AR"], ["208", "ID"], ["817", "TX"], ["430", "TX"], ["957", "NM"], ["313", "MI"], ["307", "WY"], ["832", "TX"], ["573", "MO"], ["620", "KS"], ["662", "MS"], ["972", "TX"], ["417", "MO"], ["361", "TX"], ["216", "OH"], ["412", "PA"], ["603", "NH"], ["406", "MT"], ["715", "WI"], ["601", "MS"], ["870", "AR"], ["515", "IA"], ["512", "TX"], ["682", "TX"], ["484", "PA"], ["816", "MO"], ["734", "MI"], ["636", "MO"], ["479", "AR"], ["814", "PA"], ["785", "KS"], ["234", "OH"], ["737", "TX"], ["947", "MI"], ["724", "PA"], ["557", "MO"], ["701", "ND"], ["443", "MD"], ["975", "MO"], ["712", "IA"], ["207", "ME"], ["517", "MI"], ["989", "MI"], ["940", "TX"], ["713", "TX"], ["830", "TX"], ["920", "WI"], ["915", "TX"], ["614", "OH"], ["302", "DE"], ["835", "PA"], ["541", "OR"], ["567", "OH"], ["717", "PA"], ["419", "OH"], ["810", "MI"], ["913", "KS"], ["971", "OR"], ["937", "OH"], ["503", "OR"], ["580", "OK"], ["405", "OK"], ["802", "VT"], ["330", "OH"], ["513", "OH"], ["918", "OK"], ["740", "OH"], ["440", "OH"], ["970", "CO"], ["404", "GA"], ["808", "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 array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:How many states are there? | [["305"]] | 2,048 | Answer: |
Table contestants: [["contestant_number", "contestant_name"], ["10", "Ericka Dieter"], ["9", "Kurt Walser"], ["7", "Allie Rogalski"], ["5", "Alana Bregman"], ["4", "Jessie Alloway"], ["3", "Kelly Clauss"], ["6", "Jessie Eichman"], ["1", "Edwina Burnam"], ["2", "Tabatha Gehling"], ["8", "Nita Coster"], ["11", "Loraine NygrenTania Mattioli"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the contestant numbers and names, ordered by contestant name descending. | [["2", "Tabatha Gehling"], ["8", "Nita Coster"], ["11", "Loraine NygrenTania Mattioli"], ["9", "Kurt Walser"], ["3", "Kelly Clauss"], ["6", "Jessie Eichman"], ["4", "Jessie Alloway"], ["10", "Ericka Dieter"], ["1", "Edwina Burnam"], ["7", "Allie Rogalski"], ["5", "Alana Bregman"]] | 2,048 | Answer: |
Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["5", "5112677315", "NJ\n", "5", "2018-03-09 19:03:40"], ["1", "7182887233", "NY", "2", "2018-03-09 19:03:21"], ["3", "6209222712", "CA", "3", "2018-03-09 19:03:39"], ["2", "7148407040", "NY", "3", "2018-03-09 19:03:36"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List the vote ids, phone numbers and states of all votes. | [["1", "7182887233", "NY"], ["2", "7148407040", "NY"], ["3", "6209222712", "CA"], ["5", "5112677315", "NJ\n"]] | 2,048 | Answer: |
Table area_code_state: [["area_code", "state"], ["225", "LA"], ["478", "GA"], ["256", "AL"], ["470", "GA"], ["213", "CA"], ["224", "IL"], ["218", "MN"], ["331", "IL"], ["540", "VA"], ["475", "CT"], ["479", "AR"], ["872", "IL"], ["505", "NM"], ["320", "MN"], ["236", "VA"], ["562", "CA"], ["510", "CA"], ["319", "IA"], ["334", "AL"], ["269", "MI"], ["252", "NC"], ["251", "AL"], ["248", "MI"], ["501", "AR"], ["762", "GA"], ["608", "WI"], ["605", "SD"], ["201", "NJ"], ["260", "IN"], ["980", "NC"], ["310", "CA"], ["313", "MI"], ["850", "FL"], ["210", "TX"], ["380", "OH"], ["231", "MI"], ["435", "UT"], ["660", "MO"], ["504", "LA"], ["772", "FL"], ["760", "CA"], ["563", "IA"], ["508", "MA"], ["337", "LA"], ["240", "MD"], ["878", "PA"], ["316", "KS"], ["254", "TX"], ["601", "MS"], ["203", "CT"], ["985", "LA"], ["570", "PA"], ["305", "FL"], ["314", "MO"], ["764", "CA"], ["408", "CA"], ["464", "IL"], ["309", "IL"], ["278", "MI"], ["217", "IL"], ["209", "CA"], ["229", "GA"], ["954", "FL"], ["858", "CA"], ["628", "CA"], ["619", "CA"], ["228", "MS"], ["276", "VA"], ["413", "MA"], ["253", "WA"], ["369", "CA"], ["802", "VT"], ["352", "FL"], ["561", "FL"], ["770", "GA"], ["215", "PA"], ["202", "DC"], ["904", "FL"], ["234", "OH"], ["212", "NY"], ["415", "CA"], ["339", "MA"], ["769", "MS"], ["618", "IL"], ["509", "WA"], ["239", "FL"], ["407", "FL"], ["386", "FL"], ["318", "LA"], ["515", "IA"], ["626", "CA"], ["609", "NJ"], ["262", "WI"], ["603", "NH"], ["325", "TX"], ["706", "GA"], ["804", "VA"], ["805", "CA"], ["419", "OH"], ["952", "MN"], ["507", "MN"], ["442", "CA"], ["612", "MN"], ["564", "WA"], ["216", "OH"], ["518", "NY"], ["678", "GA"], ["385", "UT"], ["480", "AZ"], ["308", "NE"], ["517", "MI"], ["270", "KY"], ["957", "NM"], ["503", "OR"], ["341", "CA"], ["541", "OR"], ["414", "WI"], ["512", "TX"], ["312", "IL"], ["650", "CA"], ["513", "OH"], ["267", "PA"], ["412", "PA"], ["641", "IA"], ["720", "CO"], ["484", "PA"], ["323", "CA"], ["410", "MD"], ["773", "IL"], ["662", "MS"], ["774", "MA"], ["283", "OH"], ["567", "OH"], ["607", "NY"], ["754", "FL"], ["575", "NM"], ["620", "KS"], ["763", "MN"], ["786", "FL"], ["912", "GA"], ["425", "WA"], ["708", "IL"], ["614", "OH"], ["610", "PA"], ["803", "SC"], ["214", "TX"], ["801", "UT"], ["989", "MI"], ["219", "IN"], ["971", "OR"], ["516", "NY"], ["351", "MA"], ["910", "NC"], ["606", "KY"], ["906", "MI"], ["586", "MI"], ["779", "IL"], ["406", "MT"], ["941", "FL"], ["630", "IL"], ["206", "WA"], ["951", "CA"], ["972", "TX"], ["401", "RI"], ["949", "CA"], ["602", "AZ"], ["908", "NJ"], ["870", "AR"], ["627", "CA"], ["530", "CA"], ["959", "CT"], ["909", "CA"], ["336", "NC"], ["424", "CA"], ["857", "MA"], ["864", "SC"], ["860", "CT"], ["616", "MI"], ["617", "MA"], ["646", "NY"], ["559", "CA"], ["727", "FL"], ["402", "NE"], ["940", "TX"], ["315", "NY"], ["984", "NC"], ["973", "NJ"], ["502", "KY"], ["434", "VA"], ["689", "FL"], ["927", "FL"], ["806", "TX"], ["669", "CA"], ["863", "FL"], ["571", "VA"], ["321", "FL"], ["832", "TX"], ["304", "WV"], ["947", "MI"], ["862", "NJ"], ["208", "ID"], ["830", "TX"], ["703", "VA"], ["469", "TX"], ["970", "CO"], ["856", "NJ"], ["661", "CA"], ["409", "TX"], ["920", "WI"], ["347", "NY"], ["757", "VA"], ["440", "OH"], ["828", "NC"], ["707", "CA"], ["679", "MI"], ["303", "CO"], ["615", "TN"], ["430", "TX"], ["935", "CA"], ["925", "CA"], ["704", "NC"], ["956", "TX"], ["916", "CA"], ["818", "CA"], ["330", "OH"], ["831", "CA"], ["975", "MO"], ["432", "TX"], ["702", "NV"], ["712", "IA"], ["302", "DE"], ["814", "PA"], ["937", "OH"], ["423", "TN"], ["317", "IN"], ["810", "MI"], ["682", "TX"], ["785", "KS"], ["813", "FL"], ["901", "TN"], ["843", "SC"], ["205", "AL"], ["714", "CA"], ["701", "ND"], ["847", "IL"], ["936", "TX"], ["859", "KY"], ["301", "MD"], ["903", "TX"], ["781", "MA"], ["520", "AZ"], ["724", "PA"], ["815", "IL"], ["361", "TX"], ["740", "OH"], ["573", "MO"], ["865", "TN"], ["979", "TX"], ["443", "MD"], ["580", "OK"], ["913", "KS"], ["417", "MO"], ["835", "PA"], ["848", "NJ"], ["737", "TX"], ["765", "IN"], ["585", "NY"], ["574", "IN"], ["734", "MI"], ["651", "MN"], ["907", "AK"], ["307", "WY"], ["732", "NJ"], ["931", "TN"], ["978", "MA"], ["812", "IN"], ["775", "NV"], ["551", "NJ"], ["914", "NY"], ["360", "WA"], ["623", "AZ"], ["928", "AZ"], ["405", "OK"], ["557", "MO"], ["919", "NC"], ["715", "WI"], ["631", "NY"], ["747", "CA"], ["636", "MO"], ["845", "NY"], ["918", "OK"], ["817", "TX"], ["717", "PA"], ["281", "TX"], ["718", "NY"], ["816", "MO"], ["713", "TX"], ["917", "NY"], ["404", "GA"], ["915", "TX"], ["731", "TN"], ["719", "CO"], ["716", "NY"], ["808", "HI"], ["207", "ME"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the maximum and minimum values of area codes? | [["989", "201"]] | 2,048 | Answer: |
Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["3", "6209222712", "CA", "3", "2018-03-09 19:03:39"], ["1", "7182887233", "NY", "2", "2018-03-09 19:03:21"], ["5", "5112677315", "NJ\n", "5", "2018-03-09 19:03:40"], ["2", "7148407040", "NY", "3", "2018-03-09 19:03:36"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is last date created of votes from the state 'CA'? | [["2018-03-09 19:03:39"]] | 2,048 | Answer: |
Table contestants: [["contestant_number", "contestant_name"], ["4", "Jessie Alloway"], ["6", "Jessie Eichman"], ["7", "Allie Rogalski"], ["3", "Kelly Clauss"], ["5", "Alana Bregman"], ["10", "Ericka Dieter"], ["2", "Tabatha Gehling"], ["1", "Edwina Burnam"], ["9", "Kurt Walser"], ["8", "Nita Coster"], ["11", "Loraine NygrenTania Mattioli"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names of the contestants whose names are not 'Jessie Alloway' | [["Edwina Burnam"], ["Tabatha Gehling"], ["Kelly Clauss"], ["Alana Bregman"], ["Jessie Eichman"], ["Allie Rogalski"], ["Nita Coster"], ["Kurt Walser"], ["Ericka Dieter"], ["Loraine NygrenTania Mattioli"]] | 2,048 | Answer: |
Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["5", "5112677315", "NJ\n", "5", "2018-03-09 19:03:40"], ["1", "7182887233", "NY", "2", "2018-03-09 19:03:21"], ["2", "7148407040", "NY", "3", "2018-03-09 19:03:36"], ["3", "6209222712", "CA", "3", "2018-03-09 19:03:39"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the distinct states and create time of all votes? | [["NY", "2018-03-09 19:03:21"], ["NY", "2018-03-09 19:03:36"], ["CA", "2018-03-09 19:03:39"], ["NJ\n", "2018-03-09 19:03:40"]] | 2,048 | Answer: |
Table contestants: [["contestant_number", "contestant_name"], ["2", "Tabatha Gehling"], ["4", "Jessie Alloway"], ["10", "Ericka Dieter"], ["5", "Alana Bregman"], ["7", "Allie Rogalski"], ["6", "Jessie Eichman"], ["3", "Kelly Clauss"], ["1", "Edwina Burnam"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["1", "7182887233", "NY", "2", "2018-03-09 19:03:21"], ["2", "7148407040", "NY", "3", "2018-03-09 19:03:36"]]Table contestants: [["contestant_number", "contestant_name"], ["9", "Kurt Walser"], ["11", "Loraine NygrenTania Mattioli"], ["8", "Nita Coster"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["3", "6209222712", "CA", "3", "2018-03-09 19:03:39"], ["5", "5112677315", "NJ\n", "5", "2018-03-09 19:03:40"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the contestant numbers and names of the contestants who had at least two votes? | [["3", "Kelly Clauss"]] | 2,048 | Answer: |
Table contestants: [["contestant_number", "contestant_name"], ["4", "Jessie Alloway"], ["7", "Allie Rogalski"], ["10", "Ericka Dieter"], ["5", "Alana Bregman"], ["3", "Kelly Clauss"], ["2", "Tabatha Gehling"], ["6", "Jessie Eichman"], ["1", "Edwina Burnam"], ["9", "Kurt Walser"], ["11", "Loraine NygrenTania Mattioli"], ["8", "Nita Coster"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["1", "7182887233", "NY", "2", "2018-03-09 19:03:21"], ["5", "5112677315", "NJ\n", "5", "2018-03-09 19:03:40"], ["3", "6209222712", "CA", "3", "2018-03-09 19:03:39"], ["2", "7148407040", "NY", "3", "2018-03-09 19:03:36"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Of all the contestants who got voted, what is the contestant number and name of the contestant who got least votes? | [["2", "Tabatha Gehling"]] | 2,048 | Answer: |
Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["1", "7182887233", "NY", "2", "2018-03-09 19:03:21"], ["2", "7148407040", "NY", "3", "2018-03-09 19:03:36"], ["5", "5112677315", "NJ\n", "5", "2018-03-09 19:03:40"], ["3", "6209222712", "CA", "3", "2018-03-09 19:03:39"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the number of votes from state 'NY' or 'CA'? | [["3"]] | 2,048 | Answer: |
Table contestants: [["contestant_number", "contestant_name"], ["10", "Ericka Dieter"], ["7", "Allie Rogalski"], ["5", "Alana Bregman"], ["2", "Tabatha Gehling"], ["4", "Jessie Alloway"], ["6", "Jessie Eichman"], ["3", "Kelly Clauss"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["1", "7182887233", "NY", "2", "2018-03-09 19:03:21"]]Table contestants: [["contestant_number", "contestant_name"], ["9", "Kurt Walser"], ["1", "Edwina Burnam"], ["11", "Loraine NygrenTania Mattioli"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["5", "5112677315", "NJ\n", "5", "2018-03-09 19:03:40"], ["3", "6209222712", "CA", "3", "2018-03-09 19:03:39"]]Table contestants: [["contestant_number", "contestant_name"], ["8", "Nita Coster"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["2", "7148407040", "NY", "3", "2018-03-09 19:03:36"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:How many contestants did not get voted? | [["8"]] | 2,048 | Answer: |
Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["5", "5112677315", "NJ\n", "5", "2018-03-09 19:03:40"]]Table area_code_state: [["area_code", "state"], ["252", "NC"], ["606", "KY"], ["609", "NJ"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["1", "7182887233", "NY", "2", "2018-03-09 19:03:21"]]Table area_code_state: [["area_code", "state"], ["270", "KY"], ["309", "IL"], ["480", "AZ"], ["585", "NY"], ["828", "NC"], ["608", "WI"], ["202", "DC"], ["253", "WA"], ["646", "NY"], ["908", "NJ"], ["602", "AZ"], ["980", "NC"], ["859", "KY"], ["862", "NJ"], ["848", "NJ"], ["331", "IL"], ["607", "NY"], ["985", "LA"], ["267", "PA"], ["878", "PA"], ["502", "KY"], ["236", "VA"], ["407", "FL"], ["628", "CA"], ["626", "CA"], ["518", "NY"], ["856", "NJ"], ["872", "IL"], ["984", "NC"], ["262", "WI"], ["540", "VA"], ["559", "CA"], ["910", "NC"], ["224", "IL"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["2", "7148407040", "NY", "3", "2018-03-09 19:03:36"]]Table area_code_state: [["area_code", "state"], ["610", "PA"], ["916", "CA"], ["412", "PA"], ["225", "LA"], ["516", "NY"], ["845", "NY"], ["478", "GA"], ["919", "NC"], ["201", "NJ"], ["435", "UT"], ["678", "GA"], ["240", "MD"], ["586", "MI"], ["704", "NC"], ["706", "GA"], ["530", "CA"], ["339", "MA"], ["912", "GA"], ["914", "NY"], ["212", "NY"], ["508", "MA"], ["315", "NY"], ["509", "WA"], ["520", "AZ"], ["959", "CT"], ["504", "LA"], ["858", "CA"], ["336", "NC"], ["805", "CA"], ["909", "CA"], ["347", "NY"], ["708", "IL"], ["847", "IL"], ["254", "TX"], ["369", "CA"], ["732", "NJ"], ["949", "CA"], ["337", "LA"], ["760", "CA"], ["305", "FL"], ["806", "TX"], ["312", "IL"], ["835", "PA"], ["865", "TN"], ["484", "PA"], ["917", "NY"], ["814", "PA"], ["619", "CA"], ["630", "IL"], ["618", "IL"], ["770", "GA"], ["804", "VA"], ["850", "FL"], ["215", "PA"], ["304", "WV"], ["310", "CA"], ["718", "NY"], ["551", "NJ"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["3", "6209222712", "CA", "3", "2018-03-09 19:03:39"]]Table area_code_state: [["area_code", "state"], ["973", "NJ"], ["801", "UT"], ["570", "PA"], ["351", "MA"], ["762", "GA"], ["424", "CA"], ["507", "MN"], ["627", "CA"], ["316", "KS"], ["325", "TX"], ["278", "MI"], ["470", "GA"], ["334", "AL"], ["650", "CA"], ["901", "TN"], ["464", "IL"], ["724", "PA"], ["248", "MI"], ["323", "CA"], ["786", "FL"], ["864", "SC"], ["831", "CA"], ["408", "CA"], ["603", "NH"], ["952", "MN"], ["928", "AZ"], ["623", "AZ"], ["906", "MI"], ["689", "FL"], ["352", "FL"], ["716", "NY"], ["218", "MN"], ["318", "LA"], ["213", "CA"], ["815", "IL"], ["785", "KS"], ["956", "TX"], ["341", "CA"], ["669", "CA"], ["562", "CA"], ["276", "VA"], ["951", "CA"], ["320", "MN"], ["256", "AL"], ["781", "MA"], ["719", "CO"], ["409", "TX"], ["818", "CA"], ["832", "TX"], ["229", "GA"], ["510", "CA"], ["620", "KS"], ["904", "FL"], ["857", "MA"], ["203", "CT"], ["423", "TN"], ["925", "CA"], ["564", "WA"], ["269", "MI"], ["631", "NY"], ["860", "CT"], ["206", "WA"], ["228", "MS"], ["512", "TX"], ["313", "MI"], ["757", "VA"], ["469", "TX"], ["954", "FL"], ["714", "CA"], ["386", "FL"], ["251", "AL"], ["715", "WI"], ["402", "NE"], ["989", "MI"], ["830", "TX"], ["720", "CO"], ["410", "MD"], ["301", "MD"], ["283", "OH"], ["615", "TN"], ["915", "TX"], ["605", "SD"], ["479", "AR"], ["764", "CA"], ["425", "WA"], ["682", "TX"], ["979", "TX"], ["843", "SC"], ["414", "WI"], ["702", "NV"], ["385", "UT"], ["707", "CA"], ["935", "CA"], ["475", "CT"], ["731", "TN"], ["913", "KS"], ["717", "PA"], ["660", "MO"], ["920", "WI"], ["434", "VA"], ["501", "AR"], ["936", "TX"], ["317", "IN"], ["239", "FL"], ["754", "FL"], ["779", "IL"], ["260", "IN"], ["314", "MO"], ["802", "VT"], ["931", "TN"], ["319", "IA"], ["505", "NM"], ["679", "MI"], ["415", "CA"], ["701", "ND"], ["803", "SC"], ["727", "FL"], ["601", "MS"], ["210", "TX"], ["927", "FL"], ["217", "IL"], ["612", "MN"], ["972", "TX"], ["432", "TX"], ["302", "DE"], ["209", "CA"], ["941", "FL"], ["430", "TX"], ["561", "FL"], ["870", "AR"], ["617", "MA"], ["940", "TX"], ["361", "TX"], ["231", "MI"], ["661", "CA"], ["308", "NE"], ["817", "TX"], ["321", "FL"], ["947", "MI"], ["216", "OH"], ["303", "CO"], ["442", "CA"], ["769", "MS"], ["774", "MA"], ["214", "TX"], ["208", "ID"], ["571", "VA"], ["703", "VA"], ["734", "MI"], ["616", "MI"], ["975", "MO"], ["205", "AL"], ["903", "TX"], ["863", "FL"], ["773", "IL"], ["763", "MN"], ["413", "MA"], ["810", "MI"], ["918", "OK"], ["737", "TX"], ["541", "OR"], ["406", "MT"], ["651", "MN"], ["401", "RI"], ["957", "NM"], ["641", "IA"], ["517", "MI"], ["281", "TX"], ["515", "IA"], ["419", "OH"], ["907", "AK"], ["557", "MO"], ["563", "IA"], ["380", "OH"], ["813", "FL"], ["775", "NV"], ["307", "WY"], ["772", "FL"], ["747", "CA"], ["712", "IA"], ["937", "OH"], ["970", "CO"], ["662", "MS"], ["816", "MO"], ["405", "OK"], ["360", "WA"], ["978", "MA"], ["614", "OH"], ["713", "TX"], ["234", "OH"], ["575", "NM"], ["330", "OH"], ["971", "OR"], ["503", "OR"], ["636", "MO"], ["417", "MO"], ["567", "OH"], ["580", "OK"], ["812", "IN"], ["574", "IN"], ["765", "IN"], ["443", "MD"], ["513", "OH"], ["740", "OH"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the area code in which the most voters voted? | [["212"]] | 2,048 | Answer: |
Table contestants: [["contestant_number", "contestant_name"], ["2", "Tabatha Gehling"], ["1", "Edwina Burnam"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["1", "7182887233", "NY", "2", "2018-03-09 19:03:21"]]Table contestants: [["contestant_number", "contestant_name"], ["5", "Alana Bregman"], ["10", "Ericka Dieter"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["5", "5112677315", "NJ\n", "5", "2018-03-09 19:03:40"]]Table contestants: [["contestant_number", "contestant_name"], ["8", "Nita Coster"], ["7", "Allie Rogalski"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["2", "7148407040", "NY", "3", "2018-03-09 19:03:36"]]Table contestants: [["contestant_number", "contestant_name"], ["6", "Jessie Eichman"], ["4", "Jessie Alloway"], ["11", "Loraine NygrenTania Mattioli"], ["9", "Kurt Walser"]]Table votes: [["vote_id", "phone_number", "state", "contestant_number", "created"], ["3", "6209222712", "CA", "3", "2018-03-09 19:03:39"]]Table contestants: [["contestant_number", "contestant_name"], ["3", "Kelly Clauss"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the create dates, states, and phone numbers of the votes that were for the contestant named 'Tabatha Gehling'? | [["2018-03-09 19:03:21", "NY", "7182887233"]] | 2,048 | Answer: |
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