query_id
int64 0
7k
| database_id
stringclasses 140
values | table_id
sequencelengths 1
5
| query
stringlengths 16
224
| answer
stringlengths 18
577
| difficulty
stringclasses 4
values |
---|---|---|---|---|---|
3,500 | hr_1 | [
"employees"
] | display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara excluding Clara. | SELECT first_name , last_name , hire_date FROM employees WHERE department_id = ( SELECT department_id FROM employees WHERE first_name = "Clara") AND first_name != "Clara" | extra |
3,501 | hr_1 | [
"employees"
] | What are the full names and hire dates for employees in the same department as someone with the first name Clara, not including Clara? | SELECT first_name , last_name , hire_date FROM employees WHERE department_id = ( SELECT department_id FROM employees WHERE first_name = "Clara") AND first_name != "Clara" | extra |
3,502 | hr_1 | [
"employees"
] | display the employee number and name( first name and last name ) for all employees who work in a department with any employee whose name contains a ’T’. | SELECT employee_id , first_name , last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' ) | extra |
3,503 | hr_1 | [
"employees"
] | What are the ids and full names for employees who work in a department that has someone with a first name that contains the letter T? | SELECT employee_id , first_name , last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' ) | extra |
3,504 | hr_1 | [
"employees"
] | display the employee number, name( first name and last name ), and salary for all employees who earn more than the average salary and who work in a department with any employee with a 'J' in their first name. | SELECT employee_id , first_name , last_name , salary FROM employees WHERE salary > ( SELECT AVG (salary) FROM employees ) AND department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%J%') | extra |
3,505 | hr_1 | [
"employees"
] | What are the ids, full names, and salaries for employees making more than average and who work in a department with employees who have the letter J in their first name? | SELECT employee_id , first_name , last_name , salary FROM employees WHERE salary > ( SELECT AVG (salary) FROM employees ) AND department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%J%') | extra |
3,506 | hr_1 | [
"employees"
] | display the employee number and job id for all employees whose salary is smaller than any salary of those employees whose job title is MK_MAN. | SELECT employee_id , job_id FROM employees WHERE salary < ( SELECT min(salary) FROM employees WHERE job_id = 'MK_MAN' ) | extra |
3,507 | hr_1 | [
"employees"
] | What are the employee ids and job ids for employees who make less than the lowest earning employee with title MK_MAN? | SELECT employee_id , job_id FROM employees WHERE salary < ( SELECT min(salary) FROM employees WHERE job_id = 'MK_MAN' ) | extra |
3,508 | hr_1 | [
"employees"
] | display the employee number, name( first name and last name ) and job title for all employees whose salary is more than any salary of those employees whose job title is PU_MAN. | SELECT employee_id , first_name , last_name , job_id FROM employees WHERE salary > ( SELECT max(salary) FROM employees WHERE job_id = 'PU_MAN' ) | extra |
3,509 | hr_1 | [
"employees"
] | What are the employee ids, full names, and job ids for employees who make more than the highest earning employee with title PU_MAN? | SELECT employee_id , first_name , last_name , job_id FROM employees WHERE salary > ( SELECT max(salary) FROM employees WHERE job_id = 'PU_MAN' ) | extra |
3,510 | hr_1 | [
"employees"
] | display the department id and the total salary for those departments which contains at least two employees. | SELECT department_id , SUM(salary) FROM employees GROUP BY department_id HAVING count(*) >= 2 | medium |
3,511 | hr_1 | [
"employees"
] | What are total salaries and department id for each department that has more than 2 employees? | SELECT department_id , SUM(salary) FROM employees GROUP BY department_id HAVING count(*) >= 2 | medium |
3,512 | hr_1 | [
"employees",
"job_history"
] | display all the information of those employees who did not have any job in the past. | SELECT * FROM employees WHERE employee_id NOT IN (SELECT employee_id FROM job_history) | hard |
3,513 | hr_1 | [
"employees",
"job_history"
] | What is all the information about employees who have never had a job in the past? | SELECT * FROM employees WHERE employee_id NOT IN (SELECT employee_id FROM job_history) | hard |
3,514 | hr_1 | [
"employees"
] | display the department ID, full name (first and last name), salary for those employees who is highest salary in every department. | SELECT first_name , last_name , salary , department_id , MAX(salary) FROM employees GROUP BY department_id | medium |
3,515 | hr_1 | [
"employees"
] | What are the department ids, full names, and salaries for employees who make the most in their departments? | SELECT first_name , last_name , salary , department_id , MAX(salary) FROM employees GROUP BY department_id | medium |
3,516 | hr_1 | [
"employees",
"departments",
"locations"
] | display the first and last name, department, city, and state province for each employee. | SELECT T1.first_name , T1.last_name , T2.department_name , T3.city , T3.state_province FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id | medium |
3,517 | hr_1 | [
"employees",
"departments",
"locations"
] | What are the full names, departments, cities, and state provinces for each employee? | SELECT T1.first_name , T1.last_name , T2.department_name , T3.city , T3.state_province FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id | medium |
3,518 | hr_1 | [
"employees",
"departments",
"locations"
] | display those employees who contain a letter z to their first name and also display their last name, city. | SELECT T1.first_name , T1.last_name , T3.city FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T1.first_name LIKE '%z%' | extra |
3,519 | hr_1 | [
"employees",
"departments",
"locations"
] | What are the full names and cities of employees who have the letter Z in their first names? | SELECT T1.first_name , T1.last_name , T3.city FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T1.first_name LIKE '%z%' | extra |
3,520 | hr_1 | [
"departments",
"locations"
] | display the department name, city, and state province for each department. | SELECT T1.department_name , T2.city , T2.state_province FROM departments AS T1 JOIN locations AS T2 ON T2.location_id = T1.location_id | medium |
3,521 | hr_1 | [
"departments",
"locations"
] | What are the department names, cities, and state provinces for each department? | SELECT T1.department_name , T2.city , T2.state_province FROM departments AS T1 JOIN locations AS T2 ON T2.location_id = T1.location_id | medium |
3,522 | hr_1 | [
"employees",
"departments",
"countries",
"locations"
] | display the full name (first and last name ) of employee with ID and name of the country presently where (s)he is working. | SELECT T1.first_name , T1.last_name , T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_id | hard |
3,523 | hr_1 | [
"employees",
"departments",
"countries",
"locations"
] | What the full names, ids of each employee and the name of the country they are in? | SELECT T1.first_name , T1.last_name , T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_id | hard |
3,524 | hr_1 | [
"employees",
"departments"
] | display the department name and number of employees in each of the department. | SELECT department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY department_name | medium |
3,525 | hr_1 | [
"employees",
"departments"
] | What are the department names and how many employees work in each of them? | SELECT department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY department_name | medium |
3,526 | hr_1 | [
"employees",
"departments",
"locations"
] | display the full name (first and last name), and salary of those employees who working in any department located in London. | SELECT first_name , last_name , salary FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T3.city = 'London' | hard |
3,527 | hr_1 | [
"employees",
"departments",
"locations"
] | What are full names and salaries of employees working in the city of London? | SELECT first_name , last_name , salary FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T3.city = 'London' | hard |
3,528 | music_1 | [
"song"
] | What is the name of the song that was released in the most recent year? | SELECT song_name , releasedate FROM song ORDER BY releasedate DESC LIMIT 1 | medium |
3,529 | music_1 | [
"song"
] | What is the name of the song that was released most recently? | SELECT song_name , releasedate FROM song ORDER BY releasedate DESC LIMIT 1 | medium |
3,530 | music_1 | [
"files"
] | What is the id of the longest song? | SELECT f_id FROM files ORDER BY duration DESC LIMIT 1 | medium |
3,531 | music_1 | [
"files"
] | Find the id of the song that lasts the longest. | SELECT f_id FROM files ORDER BY duration DESC LIMIT 1 | medium |
3,532 | music_1 | [
"song"
] | Find the names of all English songs. | SELECT song_name FROM song WHERE languages = "english" | easy |
3,533 | music_1 | [
"song"
] | What are the names of all songs in English? | SELECT song_name FROM song WHERE languages = "english" | easy |
3,534 | music_1 | [
"files"
] | What are the id of songs whose format is mp3. | SELECT f_id FROM files WHERE formats = "mp3" | easy |
3,535 | music_1 | [
"files"
] | What are the id of all the files in mp3 format? | SELECT f_id FROM files WHERE formats = "mp3" | easy |
3,536 | music_1 | [
"artist",
"song"
] | List the name and country of origin for all singers who have produced songs with rating above 9. | SELECT DISTINCT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.rating > 9 | medium |
3,537 | music_1 | [
"artist",
"song"
] | What are the different names and countries of origins for all artists whose song ratings are above 9? | SELECT DISTINCT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.rating > 9 | medium |
3,538 | music_1 | [
"files",
"song"
] | List the file size and format for all songs that have resolution lower than 800. | SELECT DISTINCT T1.file_size , T1.formats FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T2.resolution < 800 | medium |
3,539 | music_1 | [
"files",
"song"
] | What are the file sizes and formats for all songs with a resolution lower than 800? | SELECT DISTINCT T1.file_size , T1.formats FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T2.resolution < 800 | medium |
3,540 | music_1 | [
"files",
"song"
] | What is the name of the artist who produced the shortest song? | SELECT T1.artist_name FROM song AS T1 JOIN files AS T2 ON T1.f_id = T2.f_id ORDER BY T2.duration LIMIT 1 | hard |
3,541 | music_1 | [
"files",
"song"
] | What are the names of the artists who sang the shortest song? | SELECT T1.artist_name FROM song AS T1 JOIN files AS T2 ON T1.f_id = T2.f_id ORDER BY T2.duration LIMIT 1 | hard |
3,542 | music_1 | [
"artist",
"song"
] | What are the names and countries of origin for the artists who produced the top three highly rated songs. | SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.rating DESC LIMIT 3 | hard |
3,543 | music_1 | [
"artist",
"song"
] | What are the names of the singers who sang the top 3 most highly rated songs and what countries do they hail from? | SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.rating DESC LIMIT 3 | hard |
3,544 | music_1 | [
"files"
] | How many songs have 4 minute duration? | SELECT count(*) FROM files WHERE duration LIKE "4:%" | medium |
3,545 | music_1 | [
"files"
] | What is the count of the songs that last approximately 4 minutes? | SELECT count(*) FROM files WHERE duration LIKE "4:%" | medium |
3,546 | music_1 | [
"artist"
] | How many artists are from Bangladesh? | SELECT count(*) FROM artist WHERE country = "Bangladesh" | easy |
3,547 | music_1 | [
"artist"
] | How many Bangladeshi artists are listed? | SELECT count(*) FROM artist WHERE country = "Bangladesh" | easy |
3,548 | music_1 | [
"artist",
"song"
] | What is the average rating of songs produced by female artists? | SELECT avg(T2.rating) FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" | medium |
3,549 | music_1 | [
"artist",
"song"
] | How many songs, on average, are sung by a female artist? | SELECT avg(T2.rating) FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" | medium |
3,550 | music_1 | [
"files"
] | What is the most popular file format? | SELECT formats FROM files GROUP BY formats ORDER BY COUNT (*) DESC LIMIT 1 | hard |
3,551 | music_1 | [
"files"
] | Find the file format that is used by the most files. | SELECT formats FROM files GROUP BY formats ORDER BY COUNT (*) DESC LIMIT 1 | hard |
3,552 | music_1 | [
"artist",
"song"
] | Find the names of the artists who are from UK and have produced English songs. | SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT artist_name FROM song WHERE languages = "english" | hard |
3,553 | music_1 | [
"artist",
"song"
] | What are the names of the artists that are from the UK and sang songs in English? | SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT artist_name FROM song WHERE languages = "english" | hard |
3,554 | music_1 | [
"files",
"song"
] | Find the id of songs that are available in mp4 format and have resolution lower than 1000. | SELECT f_id FROM files WHERE formats = "mp4" INTERSECT SELECT f_id FROM song WHERE resolution < 1000 | hard |
3,555 | music_1 | [
"files",
"song"
] | What is the id of the files that are available in the format of mp4 and a resolution smaller than 1000? | SELECT f_id FROM files WHERE formats = "mp4" INTERSECT SELECT f_id FROM song WHERE resolution < 1000 | hard |
3,556 | music_1 | [
"artist",
"song"
] | What is the country of origin of the artist who is female and produced a song in Bangla? | SELECT T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" AND T2.languages = "bangla" | medium |
3,557 | music_1 | [
"artist",
"song"
] | What countries are the female artists who sung in the language Bangla from? | SELECT T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" AND T2.languages = "bangla" | medium |
3,558 | music_1 | [
"files",
"song"
] | What is the average duration of songs that have mp3 format and resolution below 800? | SELECT avg(T1.duration) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" AND T2.resolution < 800 | medium |
3,559 | music_1 | [
"files",
"song"
] | What is the average song duration for the songs that are in mp3 format and whose resolution below 800? | SELECT avg(T1.duration) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" AND T2.resolution < 800 | medium |
3,560 | music_1 | [
"artist"
] | What is the number of artists for each gender? | SELECT count(*) , gender FROM artist GROUP BY gender | medium |
3,561 | music_1 | [
"artist"
] | How many artists are male and how many are female? | SELECT count(*) , gender FROM artist GROUP BY gender | medium |
3,562 | music_1 | [
"song"
] | What is the average rating of songs for each language? | SELECT avg(rating) , languages FROM song GROUP BY languages | medium |
3,563 | music_1 | [
"song"
] | What is the average song rating for each language? | SELECT avg(rating) , languages FROM song GROUP BY languages | medium |
3,564 | music_1 | [
"artist",
"song"
] | Return the gender and name of artist who produced the song with the lowest resolution. | SELECT T1.gender , T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.resolution LIMIT 1 | hard |
3,565 | music_1 | [
"artist",
"song"
] | What is the gender and name of the artist who sang the song with the smallest resolution? | SELECT T1.gender , T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.resolution LIMIT 1 | hard |
3,566 | music_1 | [
"files"
] | For each file format, return the number of artists who released songs in that format. | SELECT count(*) , formats FROM files GROUP BY formats | medium |
3,567 | music_1 | [
"files"
] | How many songs were released for each format? | SELECT count(*) , formats FROM files GROUP BY formats | medium |
3,568 | music_1 | [
"song"
] | Find the distinct names of all songs that have a higher resolution than some songs in English. | SELECT DISTINCT song_name FROM song WHERE resolution > (SELECT min(resolution) FROM song WHERE languages = "english") | hard |
3,569 | music_1 | [
"song"
] | What are the different names for all songs that have a higher resolution than English songs? | SELECT DISTINCT song_name FROM song WHERE resolution > (SELECT min(resolution) FROM song WHERE languages = "english") | hard |
3,570 | music_1 | [
"song"
] | What are the names of all songs that have a lower rating than some song of blues genre? | SELECT song_name FROM song WHERE rating < (SELECT max(rating) FROM song WHERE genre_is = "blues") | hard |
3,571 | music_1 | [
"song"
] | What are the names of the songs that have a lower rating than at least one blues song? | SELECT song_name FROM song WHERE rating < (SELECT max(rating) FROM song WHERE genre_is = "blues") | hard |
3,572 | music_1 | [
"artist",
"song"
] | What is the name and country of origin of the artist who released a song that has "love" in its title? | SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.song_name LIKE "%love%" | hard |
3,573 | music_1 | [
"artist",
"song"
] | What are the names of the artists who released a song that has the word love in its title, and where are the artists from? | SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.song_name LIKE "%love%" | hard |
3,574 | music_1 | [
"artist",
"song"
] | List the name and gender for all artists who released songs in March. | SELECT T1.artist_name , T1.gender FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.releasedate LIKE "%Mar%" | hard |
3,575 | music_1 | [
"artist",
"song"
] | What are the names and genders of all artists who released songs in the month of March? | SELECT T1.artist_name , T1.gender FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.releasedate LIKE "%Mar%" | hard |
3,576 | music_1 | [
"genre"
] | List the names of all genres in alphabetical oder, together with its ratings. | SELECT g_name , rating FROM genre ORDER BY g_name | medium |
3,577 | music_1 | [
"genre"
] | What are the names of all genres in alphabetical order, combined with its ratings? | SELECT g_name , rating FROM genre ORDER BY g_name | medium |
3,578 | music_1 | [
"song"
] | Give me a list of the names of all songs ordered by their resolution. | SELECT song_name FROM song ORDER BY resolution | easy |
3,579 | music_1 | [
"song"
] | What are the names of all songs that are ordered by their resolution numbers? | SELECT song_name FROM song ORDER BY resolution | easy |
3,580 | music_1 | [
"files",
"song"
] | What are the ids of songs that are available in either mp4 format or have resolution above 720? | SELECT f_id FROM files WHERE formats = "mp4" UNION SELECT f_id FROM song WHERE resolution > 720 | hard |
3,581 | music_1 | [
"files",
"song"
] | What are the ids of all songs that are available on mp4 or have a higher resolution than 720? | SELECT f_id FROM files WHERE formats = "mp4" UNION SELECT f_id FROM song WHERE resolution > 720 | hard |
3,582 | music_1 | [
"files",
"song"
] | List the names of all songs that have 4 minute duration or are in English. | SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "4:%" UNION SELECT song_name FROM song WHERE languages = "english" | extra |
3,583 | music_1 | [
"files",
"song"
] | What are the names of all songs that are approximately 4 minutes long or are in English? | SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "4:%" UNION SELECT song_name FROM song WHERE languages = "english" | extra |
3,584 | music_1 | [
"song"
] | What is the language used most often in the songs? | SELECT languages FROM song GROUP BY languages ORDER BY count(*) DESC LIMIT 1 | hard |
3,585 | music_1 | [
"song"
] | What are the languages that are used most often in songs? | SELECT languages FROM song GROUP BY languages ORDER BY count(*) DESC LIMIT 1 | hard |
3,586 | music_1 | [
"song"
] | What is the language that was used most often in songs with resolution above 500? | SELECT artist_name FROM song WHERE resolution > 500 GROUP BY languages ORDER BY count(*) DESC LIMIT 1 | extra |
3,587 | music_1 | [
"song"
] | What is the name of the artist, for each language, that has the most songs with a higher resolution than 500? | SELECT artist_name FROM song WHERE resolution > 500 GROUP BY languages ORDER BY count(*) DESC LIMIT 1 | extra |
3,588 | music_1 | [
"artist"
] | What are the names of artists who are Male and are from UK? | SELECT artist_name FROM artist WHERE country = "UK" AND gender = "Male" | medium |
3,589 | music_1 | [
"artist"
] | What are the names of all male British artists? | SELECT artist_name FROM artist WHERE country = "UK" AND gender = "Male" | medium |
3,590 | music_1 | [
"song"
] | Find the names of songs whose genre is modern or language is English. | SELECT song_name FROM song WHERE genre_is = "modern" OR languages = "english" | medium |
3,591 | music_1 | [
"song"
] | What are the names of the songs that are modern or sung in English? | SELECT song_name FROM song WHERE genre_is = "modern" OR languages = "english" | medium |
3,592 | music_1 | [
"files",
"song"
] | Return the names of songs for which format is mp3 and resolution is below 1000. | SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" INTERSECT SELECT song_name FROM song WHERE resolution < 1000 | extra |
3,593 | music_1 | [
"files",
"song"
] | What are the names of all songs that are in mp3 format and have a resolution lower than 1000? | SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" INTERSECT SELECT song_name FROM song WHERE resolution < 1000 | extra |
3,594 | music_1 | [
"artist",
"song"
] | Return the names of singers who are from UK and released an English song. | SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "english" | hard |
3,595 | music_1 | [
"artist",
"song"
] | What are the names of all singers that are from the UK and released a song in English? | SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "english" | hard |
3,596 | music_1 | [
"song"
] | What are the average rating and resolution of songs that are in Bangla? | SELECT avg(rating) , avg(resolution) FROM song WHERE languages = "bangla" | medium |
3,597 | music_1 | [
"song"
] | What is the average rating and resolution of all bangla songs? | SELECT avg(rating) , avg(resolution) FROM song WHERE languages = "bangla" | medium |
3,598 | music_1 | [
"files",
"song"
] | What are the maximum and minimum resolution of songs whose duration is 3 minutes? | SELECT max(T2.resolution) , min(T2.resolution) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "3:%" | hard |
3,599 | music_1 | [
"files",
"song"
] | What is the maximum and minimum resolution of all songs that are approximately 3 minutes long? | SELECT max(T2.resolution) , min(T2.resolution) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "3:%" | hard |
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