db_id string | context string | question string | query string | answer string | answer_prefix string | max_new_tokens int64 |
|---|---|---|---|---|---|---|
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(*) FROM singer | [["6"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(*) FROM singer | [["6"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT name , country , age FROM singer ORDER BY age DESC | [["Joe Sharp", "Netherlands", "52"], ["John Nizinik", "France", "43"], ["Rose White", "France", "41"], ["Timbaland", "United States", "32"], ["Justin Brown", "France", "29"], ["Tribal King", "France", "25"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT name , country , age FROM singer ORDER BY age DESC | [["Joe Sharp", "Netherlands", "52"], ["John Nizinik", "France", "43"], ["Rose White", "France", "41"], ["Timbaland", "United States", "32"], ["Justin Brown", "France", "29"], ["Tribal King", "France", "25"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France' | [["34.5", "25", "43"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France' | [["34.5", "25", "43"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1 | [["Love", "2016"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1 | [["Love", "2016"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT DISTINCT country FROM singer WHERE age > 20 | [["Netherlands"], ["United States"], ["France"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT DISTINCT country FROM singer WHERE age > 20 | [["Netherlands"], ["United States"], ["France"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT country , count(*) FROM singer GROUP BY country | [["France", "4"], ["Netherlands", "1"], ["United States", "1"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT country , count(*) FROM singer GROUP BY country | [["France", "4"], ["Netherlands", "1"], ["United States", "1"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer) | [["You"], ["Sun"], ["Gentleman"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer) | [["You"], ["Sun"], ["Gentleman"]] | Answer: | 2,048 |
concert_singer | Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000 | [] | Answer: | 2,048 |
concert_singer | Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000 | [] | Answer: | 2,048 |
concert_singer | Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | select max(capacity), average from stadium | [["52500", "730"]] | Answer: | 2,048 |
concert_singer | Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | select avg(capacity) , max(capacity) from stadium | [["10621.666666666666", "52500"]] | Answer: | 2,048 |
concert_singer | Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT name , capacity FROM stadium ORDER BY average DESC LIMIT 1 | [["Stark's Park", "10104"]] | Answer: | 2,048 |
concert_singer | Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT name , capacity FROM stadium ORDER BY average DESC LIMIT 1 | [["Stark's Park", "10104"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015 | [["6"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015 | [["6"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T2.name , count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id GROUP BY T1.stadium_id | [["Stark's Park", "1"], ["Glebe Park", "1"], ["Somerset Park", "2"], ["Recreation Park", "1"], ["Balmoor", "1"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T2.name , count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id GROUP BY T1.stadium_id | [["Stark's Park", "1"], ["Glebe Park", "1"], ["Somerset Park", "2"], ["Recreation Park", "1"], ["Balmoor", "1"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T2.name , T2.capacity FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year >= 2014 GROUP BY T2.stadium_id ORDER BY count(*) DESC LIMIT 1 | [["Somerset Park", "11998"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | select t2.name , t2.capacity from concert as t1 join stadium as t2 on t1.stadium_id = t2.stadium_id where t1.year > 2013 group by t2.stadium_id order by count(*) desc limit 1 | [["Somerset Park", "11998"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT YEAR FROM concert GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1 | [["2015"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT YEAR FROM concert GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1 | [["2015"]] | Answer: | 2,048 |
concert_singer | Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert) | [["Bayview Stadium"], ["Hampden Park"], ["Forthbank Stadium"], ["Gayfield Park"]] | Answer: | 2,048 |
concert_singer | Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert) | [["Bayview Stadium"], ["Hampden Park"], ["Forthbank Stadium"], ["Gayfield Park"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT country FROM singer WHERE age > 40 INTERSECT SELECT country FROM singer WHERE age < 30 | [["France"]] | Answer: | 2,048 |
concert_singer | Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014 | [["Balmoor"], ["Bayview Stadium"], ["Forthbank Stadium"], ["Gayfield Park"], ["Hampden Park"], ["Recreation Park"]] | Answer: | 2,048 |
concert_singer | Table stadium: [["Stadium_ID", "Location", "Name", "Capacity", "Highest", "Lowest", "Average"], ["1", "Raith Rovers", "Stark's Park", "10104", "4812", "1294", "2106"], ["2", "Ayr United", "Somerset Park", "11998", "2363", "1057", "1477"], ["3", "East Fife", "Bayview Stadium", "2000", "1980", "533", "864"], ["4", "Queen... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014 | [["Balmoor"], ["Bayview Stadium"], ["Forthbank Stadium"], ["Gayfield Park"], ["Hampden Park"], ["Recreation Park"]] | Answer: | 2,048 |
concert_singer | Table singer_in_concert: [["concert_ID", "Singer_ID"], ["1", "2"], ["1", "3"], ["1", "5"], ["2", "3"], ["2", "6"], ["3", "5"], ["4", "4"], ["5", "6"], ["5", "3"], ["6", "2"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootca... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T2.concert_name , T2.theme , count(*) FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.concert_id = T2.concert_id GROUP BY T2.concert_id | [["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"]] | Answer: | 2,048 |
concert_singer | Table singer_in_concert: [["concert_ID", "Singer_ID"], ["1", "2"], ["1", "3"], ["1", "5"], ["2", "3"], ["2", "6"], ["3", "5"], ["4", "4"], ["5", "6"], ["5", "3"], ["6", "2"]]Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootca... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | select t2.concert_name , t2.theme , count(*) from singer_in_concert as t1 join concert as t2 on t1.concert_id = t2.concert_id group by t2.concert_id | [["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"]] | Answer: | 2,048 |
concert_singer | Table singer_in_concert: [["concert_ID", "Singer_ID"], ["1", "2"], ["1", "3"], ["1", "5"], ["2", "3"], ["2", "6"], ["3", "5"], ["4", "4"], ["5", "6"], ["5", "3"], ["6", "2"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["1", "Joe Sharp", "Netherlands", "You", "199... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T2.name , count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id GROUP BY T2.singer_id | [["Timbaland", "2"], ["Justin Brown", "3"], ["Rose White", "1"], ["John Nizinik", "2"], ["Tribal King", "2"]] | Answer: | 2,048 |
concert_singer | Table singer_in_concert: [["concert_ID", "Singer_ID"], ["1", "2"], ["1", "3"], ["1", "5"], ["2", "3"], ["2", "6"], ["3", "5"], ["4", "4"], ["5", "6"], ["5", "3"], ["6", "2"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["1", "Joe Sharp", "Netherlands", "You", "199... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T2.name , count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id GROUP BY T2.singer_id | [["Timbaland", "2"], ["Justin Brown", "3"], ["Rose White", "1"], ["John Nizinik", "2"], ["Tribal King", "2"]] | Answer: | 2,048 |
concert_singer | Table singer_in_concert: [["concert_ID", "Singer_ID"], ["1", "2"], ["1", "3"], ["1", "5"], ["2", "3"], ["2", "6"], ["3", "5"], ["4", "4"], ["5", "6"], ["5", "3"], ["6", "2"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["1", "Joe Sharp", "Netherlands", "You", "199... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id JOIN concert AS T3 ON T1.concert_id = T3.concert_id WHERE T3.year = 2014 | [["Timbaland"], ["Justin Brown"], ["John Nizinik"], ["Justin Brown"], ["Tribal King"], ["Rose White"]] | Answer: | 2,048 |
concert_singer | Table singer_in_concert: [["concert_ID", "Singer_ID"], ["1", "2"], ["1", "3"], ["1", "5"], ["2", "3"], ["2", "6"], ["3", "5"], ["4", "4"], ["5", "6"], ["5", "3"], ["6", "2"]]Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["1", "Joe Sharp", "Netherlands", "You", "199... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id JOIN concert AS T3 ON T1.concert_id = T3.concert_id WHERE T3.year = 2014 | [["Timbaland"], ["Justin Brown"], ["John Nizinik"], ["Justin Brown"], ["Tribal King"], ["Rose White"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT name , country FROM singer WHERE song_name LIKE '%Hey%' | [["Justin Brown", "France"]] | Answer: | 2,048 |
concert_singer | Table singer: [["Singer_ID", "Name", "Country", "Song_Name", "Song_release_year", "Age", "Is_male"], ["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"], ["4", "Rose White", "France... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT name , country FROM singer WHERE song_name LIKE '%Hey%' | [["Justin Brown", "France"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2014 INTERSECT SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2015 | [["Somerset Park", "Ayr United"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2014 INTERSECT SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2015 | [["Somerset Park", "Ayr United"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | select count(*) from concert where stadium_id = (select stadium_id from stadium order by capacity desc limit 1) | [["0"]] | Answer: | 2,048 |
concert_singer | Table concert: [["concert_ID", "concert_Name", "Theme", "Stadium_ID", "Year"], ["1", "Auditions", "Free choice", "1", "2014"], ["2", "Super bootcamp", "Free choice 2", "2", "2014"], ["3", "Home Visits", "Bleeding Love", "2", "2015"], ["4", "Week 1", "Wide Awake", "10", "2014"], ["5", "Week 1", "Happy Tonight", "9", "20... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | select count(*) from concert where stadium_id = (select stadium_id from stadium order by capacity desc limit 1) | [["0"]] | Answer: | 2,048 |
pets_1 | Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(*) FROM pets WHERE weight > 10 | [["2"]] | Answer: | 2,048 |
pets_1 | Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(*) FROM pets WHERE weight > 10 | [["2"]] | Answer: | 2,048 |
pets_1 | Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT weight FROM pets ORDER BY pet_age LIMIT 1 | [["9.3"]] | Answer: | 2,048 |
pets_1 | Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT weight FROM pets ORDER BY pet_age LIMIT 1 | [["9.3"]] | Answer: | 2,048 |
pets_1 | Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT max(weight) , petType FROM pets GROUP BY petType | [["12.0", "cat"], ["13.4", "dog"]] | Answer: | 2,048 |
pets_1 | Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT max(weight) , petType FROM pets GROUP BY petType | [["12.0", "cat"], ["13.4", "dog"]] | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20 | [["0"]] | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20 | [["0"]] | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T1.sex = 'F' AND T3.pettype = 'dog' | [["2"]] | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T1.sex = 'F' AND T3.pettype = 'dog' | [["2"]] | Answer: | 2,048 |
pets_1 | Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(DISTINCT pettype) FROM pets | [["2"]] | Answer: | 2,048 |
pets_1 | Table pets: [["PetID", "PetType", "pet_age", "weight"], ["2001", "cat", "3", "12.0"], ["2002", "dog", "2", "13.4"], ["2003", "dog", "1", "9.3"]] | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT count(DISTINCT pettype) FROM pets | [["2"]] | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' OR T3.pettype = 'dog' | [["Linda"], ["Tracy"]] | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' OR T3.pettype = 'dog' | [["Linda"], ["Tracy"]] | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | select t1.fname from student as t1 join has_pet as t2 on t1.stuid = t2.stuid join pets as t3 on t3.petid = t2.petid where t3.pettype = 'cat' intersect select t1.fname from student as t1 join has_pet as t2 on t1.stuid = t2.stuid join pets as t3 on t3.petid = t2.petid where t3.pettype = 'dog' | [] | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' INTERSECT SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' | [] | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT major , age FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') | [["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"], ["54... | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT major , age FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') | [["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"], ["54... | Answer: | 2,048 |
pets_1 | Table student: [["StuID", "LName", "Fname", "Age", "Sex", "Major", "Advisor", "city_code"], ["1001", "Smith", "Linda", "18", "F", "600", "1121", "BAL"], ["1002", "Kim", "Tracy", "19", "F", "600", "7712", "HKG"], ["1003", "Jones", "Shiela", "21", "F", "600", "7792", "WAS"], ["1004", "Kumar", "Dinesh", "20", "M", "600", ... | You are a question-answering model specialized in tabular data.
I will provide a table in a list-of-lists format (where the first row is the header) and a single natural language question.You must return the exact table cells that directly answer the provided question. Important guidelines:
- Your response must be an a... | SELECT stuid FROM student EXCEPT SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' | [["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"],... | Answer: | 2,048 |
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