Dataset Viewer
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Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 singers do we have? | [["6"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the total number of singers? | [["6"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Show name, country, age for all singers ordered by age from the oldest to the youngest. | [["Joe Sharp", "Netherlands", "52"], ["John Nizinik", "France", "43"], ["Rose White", "France", "41"], ["Timbaland", "United States", "32"], ["Justin Brown", "France", "29"], ["Tribal King", "France", "25"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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, countries, and ages for every singer in descending order of age? | [["Joe Sharp", "Netherlands", "52"], ["John Nizinik", "France", "43"], ["Rose White", "France", "41"], ["Timbaland", "United States", "32"], ["Justin Brown", "France", "29"], ["Tribal King", "France", "25"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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, minimum, and maximum age of all singers from France? | [["34.5", "25", "43"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What is the average, minimum, and maximum age for all French singers? | [["34.5", "25", "43"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Show the name and the release year of the song by the youngest singer. | [["Love", "2016"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names and release years for all the songs of the youngest singer? | [["Love", "2016"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 distinct countries where singers above age 20 are from? | [["Netherlands"], ["United States"], ["France"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 different countries with singers above age 20? | [["Netherlands"], ["United States"], ["France"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Show all countries and the number of singers in each country. | [["France", "4"], ["Netherlands", "1"], ["United States", "1"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 singers are from each country? | [["France", "4"], ["Netherlands", "1"], ["United States", "1"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 all song names by singers above the average age. | [["You"], ["Sun"], ["Gentleman"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are all the song names by singers who are older than average? | [["You"], ["Sun"], ["Gentleman"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 location and name for all stadiums with a capacity between 5000 and 10000. | [] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 locations and names of all stations with capacity between 5000 and 10000? | [] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 capacity and the average of all stadiums ? | [["52500", "730"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 and maximum capacities for all stadiums ? | [["10621.666666666666", "52500"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 and capacity for the stadium with highest average attendance? | [["Stark's Park", "10104"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 and capacity for the stadium with the highest average attendance? | [["Stark's Park", "10104"]] | 2,048 | Answer: |
Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["1", "Auditions", "Free choice", "1", "2014"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 concerts are there in year 2014 or 2015? | [["6"]] | 2,048 | Answer: |
Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 concerts occurred in 2014 or 2015? | [["6"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Show the stadium name and the number of concerts in each stadium. | [["Stark's Park", "1"], ["Glebe Park", "1"], ["Somerset Park", "2"], ["Recreation Park", "1"], ["Balmoor", "1"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["6", "Week 2", "Party All Night", "7", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 stadium, how many concerts play there? | [["Stark's Park", "1"], ["Glebe Park", "1"], ["Somerset Park", "2"], ["Recreation Park", "1"], ["Balmoor", "1"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Show the stadium name and capacity with most number of concerts in year 2014 or after. | [["Somerset Park", "11998"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 and capacity of the stadium with the most concerts after 2013 ? | [["Somerset Park", "11998"]] | 2,048 | Answer: |
Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 year has most number of concerts? | [["2015"]] | 2,048 | Answer: |
Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 year that had the most concerts? | [["2015"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Show the stadium names without any concert. | [["Bayview Stadium"], ["Hampden Park"], ["Forthbank Stadium"], ["Gayfield Park"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["1", "Auditions", "Free choice", "1", "2014"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 stadiums without any concerts? | [["Bayview Stadium"], ["Hampden Park"], ["Forthbank Stadium"], ["Gayfield Park"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 countries where a singer above age 40 and a singer below 30 are from. | [["France"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["1", "Auditions", "Free choice", "1", "2014"], ["6", "Week 2", "Party All Night", "7", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 for all stadiums except for stadiums having a concert in year 2014. | [["Balmoor"], ["Bayview Stadium"], ["Forthbank Stadium"], ["Gayfield Park"], ["Hampden Park"], ["Recreation Park"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["5", "Week 1", "Happy Tonight", "9", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["3", "Home Visits", "Bleeding Love", "2", "2015"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names of all stadiums that did not have a concert in 2014? | [["Balmoor"], ["Bayview Stadium"], ["Forthbank Stadium"], ["Gayfield Park"], ["Hampden Park"], ["Recreation Park"]] | 2,048 | Answer: |
Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]]Table singer_in_concert: [["concert_ID", "Singer_ID"], ["3", "5"], ["5", "3"], ["2", "3"], ["1", "3"], ["1", "2"], ["4", "4"], ["2", "6"], ["6", "2"], ["5", "6"], ["1", "5"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Show the name and theme for all concerts and the number of singers in each concert. | [["Auditions", "Free choice", "3"], ["Super bootcamp", "Free choice 2", "2"], ["Home Visits", "Bleeding Love", "1"], ["Week 1", "Wide Awake", "1"], ["Week 1", "Happy Tonight", "2"], ["Week 2", "Party All Night", "1"]] | 2,048 | Answer: |
Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]]Table singer_in_concert: [["concert_ID", "Singer_ID"], ["6", "2"], ["3", "5"], ["5", "3"], ["2", "6"], ["2", "3"], ["5", "6"], ["1", "3"], ["4", "4"], ["1", "2"], ["1", "5"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names , themes , and number of singers for every concert ? | [["Auditions", "Free choice", "3"], ["Super bootcamp", "Free choice 2", "2"], ["Home Visits", "Bleeding Love", "1"], ["Week 1", "Wide Awake", "1"], ["Week 1", "Happy Tonight", "2"], ["Week 2", "Party All Night", "1"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"]]Table singer_in_concert: [["concert_ID", "Singer_ID"], ["1", "3"], ["5", "3"], ["3", "5"], ["1", "2"], ["2", "3"], ["6", "2"], ["2", "6"], ["1", "5"], ["5", "6"], ["4", "4"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 singer names and number of concerts for each singer. | [["Timbaland", "2"], ["Justin Brown", "3"], ["Rose White", "1"], ["John Nizinik", "2"], ["Tribal King", "2"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"]]Table singer_in_concert: [["concert_ID", "Singer_ID"], ["2", "3"], ["1", "3"], ["2", "6"], ["1", "2"], ["3", "5"], ["6", "2"], ["5", "3"], ["4", "4"], ["5", "6"], ["1", "5"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names of the singers and number of concerts for each person? | [["Timbaland", "2"], ["Justin Brown", "3"], ["Rose White", "1"], ["John Nizinik", "2"], ["Tribal King", "2"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["1", "Auditions", "Free choice", "1", "2014"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["3", "Home Visits", "Bleeding Love", "2", "2015"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"]]Table singer_in_concert: [["concert_ID", "Singer_ID"], ["2", "3"], ["1", "2"], ["4", "4"], ["1", "3"], ["3", "5"], ["5", "3"], ["2", "6"], ["6", "2"], ["1", "5"], ["5", "6"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:List all singer names in concerts in year 2014. | [["Timbaland"], ["Justin Brown"], ["John Nizinik"], ["Justin Brown"], ["Tribal King"], ["Rose White"]] | 2,048 | Answer: |
Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["5", "Week 1", "Happy Tonight", "9", "2015"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"]]Table singer_in_concert: [["concert_ID", "Singer_ID"], ["2", "3"], ["1", "2"], ["1", "3"], ["4", "4"], ["3", "5"], ["2", "6"], ["5", "3"], ["6", "2"], ["1", "5"], ["5", "6"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:What are the names of the singers who performed in a concert in 2014? | [["Timbaland"], ["Justin Brown"], ["John Nizinik"], ["Justin Brown"], ["Tribal King"], ["Rose White"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 and nation of the singer who have a song having 'Hey' in its name? | [["Justin Brown", "France"]] | 2,048 | Answer: |
Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["3", "Justin Brown", "France", "Hey Oh", "2013", "29", "T"], ["2", "Timbaland", "United States", "Dangerous", "2008", "32", "T"], ["1", "Joe Sharp", "Netherlands", "You", "1992", "52", "F"], ["6", "Tribal King", "France", "Love", "2016", "25", "T"], ["5", "John Nizinik", "France", "Gentleman", "2014", "43", "T"], ["4", "Rose White", "France", "Sun", "2003", "41", "F"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 and country of origin of every singer who has a song with the word 'Hey' in its title? | [["Justin Brown", "France"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["5", "Week 1", "Happy Tonight", "9", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Find the name and location of the stadiums which some concerts happened in the years of both 2014 and 2015. | [["Somerset Park", "Ayr United"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["5", "Week 1", "Happy Tonight", "9", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 locations of the stadiums that had concerts that occurred in both 2014 and 2015? | [["Somerset Park", "Ayr United"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 concerts happened in the stadium with the highest capacity . | [["0"]] | 2,048 | Answer: |
Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["5", "Stirling Albion", "Forthbank Stadium", "3808", "1125", "404", "642"], ["4", "Queen's Park", "Hampden Park", "52500", "1763", "466", "730"], ["7", "Alloa Athletic", "Recreation Park", "3100", "1057", "331", "637"], ["10", "Brechin City", "Glebe Park", "3960", "780", "315", "552"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["6", "Arbroath", "Gayfield Park", "4125", "921", "411", "638"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["4", "Week 1", "Wide Awake", "10", "2014"]]Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["9", "Peterhead", "Balmoor", "4000", "837", "400", "615"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["6", "Week 2", "Party All Night", "7", "2015"], ["5", "Week 1", "Happy Tonight", "9", "2015"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 concerts that occurred in the stadium with the largest capacity ? | [["0"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"], ["2002", "dog", "2", "13.4"], ["2001", "cat", "3", "12.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Find the number of pets whose weight is heavier than 10. | [["2"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"], ["2002", "dog", "2", "13.4"], ["2001", "cat", "3", "12.0"]] | 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 pets have a greater weight than 10? | [["2"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"], ["2001", "cat", "3", "12.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Find the weight of the youngest dog. | [["9.3"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"], ["2001", "cat", "3", "12.0"]] | 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 much does the youngest dog weigh? | [["9.3"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"], ["2002", "dog", "2", "13.4"], ["2001", "cat", "3", "12.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Find the maximum weight for each type of pet. List the maximum weight and pet type. | [["12.0", "cat"], ["13.4", "dog"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"], ["2002", "dog", "2", "13.4"], ["2001", "cat", "3", "12.0"]] | 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 maximum weight and type for each type of pet. | [["12.0", "cat"], ["13.4", "dog"]] | 2,048 | Answer: |
Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"]]Table has_pet: [["StuID", "PetID"], ["1002", "2003"], ["1002", "2002"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"]]Table has_pet: [["StuID", "PetID"], ["1001", "2001"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 number of pets owned by students who are older than 20. | [["0"]] | 2,048 | Answer: |
Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"]]Table has_pet: [["StuID", "PetID"], ["1002", "2003"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"]]Table has_pet: [["StuID", "PetID"], ["1002", "2002"], ["1001", "2001"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 pets are owned by students that have an age greater than 20? | [["0"]] | 2,048 | Answer: |
Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2002", "dog", "2", "13.4"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"]]Table has_pet: [["StuID", "PetID"], ["1002", "2003"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"]]Table has_pet: [["StuID", "PetID"], ["1002", "2002"], ["1001", "2001"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 dog pets that are raised by female students (with sex F). | [["2"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"], ["2002", "dog", "2", "13.4"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"]]Table has_pet: [["StuID", "PetID"], ["1002", "2003"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"]]Table has_pet: [["StuID", "PetID"], ["1002", "2002"], ["1001", "2001"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 dog pets are raised by female students? | [["2"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"], ["2002", "dog", "2", "13.4"], ["2001", "cat", "3", "12.0"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "What is the average salary?"
Answer:
[["61666.67"]]
Question:Find the number of distinct type of pets. | [["2"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"], ["2002", "dog", "2", "13.4"], ["2001", "cat", "3", "12.0"]] | 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 different types of pet are there? | [["2"]] | 2,048 | Answer: |
Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2002", "dog", "2", "13.4"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"]]Table has_pet: [["StuID", "PetID"], ["1001", "2001"], ["1002", "2003"], ["1002", "2002"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 first name of students who have cat or dog pet. | [["Linda"], ["Tracy"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"]]Table has_pet: [["StuID", "PetID"], ["1001", "2001"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"]]Table has_pet: [["StuID", "PetID"], ["1002", "2003"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"]]Table has_pet: [["StuID", "PetID"], ["1002", "2002"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 first names of every student who has a cat or dog as a pet? | [["Linda"], ["Tracy"]] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2002", "dog", "2", "13.4"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"]]Table has_pet: [["StuID", "PetID"], ["1001", "2001"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"]]Table has_pet: [["StuID", "PetID"], ["1002", "2003"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"]]Table has_pet: [["StuID", "PetID"], ["1002", "2002"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 first name of students who have both cat and dog pets . | [] | 2,048 | Answer: |
Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"]]Table has_pet: [["StuID", "PetID"], ["1002", "2003"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"]]Table has_pet: [["StuID", "PetID"], ["1001", "2001"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"]]Table has_pet: [["StuID", "PetID"], ["1002", "2002"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 students' first names who have both cats and dogs as pets? | [] | 2,048 | Answer: |
Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"]]Table has_pet: [["StuID", "PetID"], ["1002", "2003"], ["1001", "2001"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"]]Table has_pet: [["StuID", "PetID"], ["1002", "2002"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 major and age of students who do not have a cat pet. | [["600", "19"], ["600", "21"], ["600", "20"], ["600", "26"], ["600", "18"], ["600", "18"], ["600", "20"], ["600", "19"], ["600", "17"], ["600", "22"], ["600", "20"], ["600", "18"], ["600", "16"], ["600", "17"], ["600", "27"], ["600", "20"], ["600", "18"], ["520", "22"], ["520", "19"], ["540", "17"], ["520", "20"], ["540", "18"], ["520", "18"], ["520", "19"], ["520", "18"], ["550", "20"], ["100", "17"], ["550", "21"], ["550", "20"], ["550", "20"], ["550", "18"], ["50", "18"], ["50", "26"]] | 2,048 | Answer: |
Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2002", "dog", "2", "13.4"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2003", "dog", "1", "9.3"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"]]Table has_pet: [["StuID", "PetID"], ["1002", "2003"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"]]Table has_pet: [["StuID", "PetID"], ["1002", "2002"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"]]Table has_pet: [["StuID", "PetID"], ["1001", "2001"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 major is every student who does not own a cat as a pet, and also how old are they? | [["600", "19"], ["600", "21"], ["600", "20"], ["600", "26"], ["600", "18"], ["600", "18"], ["600", "20"], ["600", "19"], ["600", "17"], ["600", "22"], ["600", "20"], ["600", "18"], ["600", "16"], ["600", "17"], ["600", "27"], ["600", "20"], ["600", "18"], ["520", "22"], ["520", "19"], ["540", "17"], ["520", "20"], ["540", "18"], ["520", "18"], ["520", "19"], ["520", "18"], ["550", "20"], ["100", "17"], ["550", "21"], ["550", "20"], ["550", "20"], ["550", "18"], ["50", "18"], ["50", "26"]] | 2,048 | Answer: |
Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1031", "Smith", "Sarah", "20", "F", "550", "8772", "PHL"], ["1035", "Schmidt", "Sarah", "26", "F", "50", "5718", "WAS"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1034", "Epp", "Eric", "18", "M", "50", "5718", "BOS"], ["1007", "Apap", "Lisa", "18", "F", "600", "8918", "PIT"], ["1032", "Brown", "Eric", "20", "M", "550", "8772", "ATL"], ["1022", "Woods", "Michael", "17", "M", "540", "8722", "PHL"], ["1010", "Lee", "Derek", "17", "M", "600", "2192", "HOU"], ["1012", "Davis", "Steven", "20", "M", "600", "7723", "PIT"], ["1011", "Adams", "David", "22", "M", "600", "1148", "PHL"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1028", "Rugh", "Eric", "20", "M", "550", "2311", "ROC"], ["1024", "Prater", "Stacy", "18", "F", "540", "7271", "BAL"], ["1017", "Wilson", "Bruce", "27", "M", "600", "1148", "LON"], ["1027", "Brody", "Paul", "18", "M", "520", "8723", "LOS"], ["1014", "Norris", "Charles", "18", "M", "600", "8741", "DAL"], ["1018", "Leighton", "Michael", "20", "M", "600", "1121", "PIT"], ["1033", "Simms", "William", "18", "M", "550", "8772", "NAR"], ["1009", "Tai", "Eric", "19", "M", "600", "2192", "YYZ"], ["1030", "Cheng", "Lisa", "21", "F", "550", "2311", "SFO"], ["1023", "Shieber", "David", "20", "M", "520", "8722", "NYC"], ["1004", "Kumar", "Dinesh", "20", "M", "600", "8423", "CHI"], ["1029", "Han", "Jun", "17", "M", "100", "2311", "PEK"], ["1020", "Thornton", "Ian", "22", "M", "520", "7271", "NYC"], ["1006", "Schultz", "Andy", "18", "M", "600", "1148", "BAL"], ["1008", "Nelson", "Jandy", "20", "F", "600", "9172", "BAL"], ["1015", "Lee", "Susan", "16", "F", "600", "8721", "HKG"], ["1005", "Gompers", "Paul", "26", "M", "600", "1121", "YYZ"], ["1021", "Andreou", "George", "19", "M", "520", "8722", "NYC"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1025", "Goldman", "Mark", "18", "M", "520", "7134", "PIT"]]Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]]Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1019", "Pang", "Arthur", "18", "M", "600", "2192", "WAS"], ["1026", "Pang", "Eric", "19", "M", "520", "7134", "HKG"], ["1016", "Schwartz", "Mark", "17", "M", "600", "2192", "DET"]]Table has_pet: [["StuID", "PetID"], ["1001", "2001"], ["1002", "2003"], ["1002", "2002"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an array of arrays of strings.
- If the question requests an aggregation (average, sum, count, etc.), return ONLY the aggregated value(s), formatted as a list containing one tuple.
- The answer must contain ONLY values from the provided table or the aggregated value explicitly requested.
- Do NOT include headers or column names in your answer.
- Do NOT include explanations or reasoning in your answer.
- Do NOT repeat these instructions in your answer.
- Examples Table:
[["Employee_ID", "Name", "Department", "Salary"],
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]]
Question: "Show all information about each employee"
Answer:
[
["101", "Alice", "HR", "50000"],
["102", "Bob", "Engineering", "75000"],
["103", "Charlie", "Marketing", "60000"]
]
Table:
[["Employee_ID", "Name", "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 students who do not have a cat pet. | [["1002"], ["1003"], ["1004"], ["1005"], ["1006"], ["1007"], ["1008"], ["1009"], ["1010"], ["1011"], ["1012"], ["1014"], ["1015"], ["1016"], ["1017"], ["1018"], ["1019"], ["1020"], ["1021"], ["1022"], ["1023"], ["1024"], ["1025"], ["1026"], ["1027"], ["1028"], ["1029"], ["1030"], ["1031"], ["1032"], ["1033"], ["1034"], ["1035"]] | 2,048 | Answer: |
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