db_id stringclasses 140
values | question stringlengths 16 224 | query stringlengths 18 577 | db_schema stringclasses 140
values | question_toks listlengths 4 44 |
|---|---|---|---|---|
icfp_1 | Retrieve the country that has published the most papers. | SELECT t1.country FROM inst AS t1 JOIN authorship AS t2 ON t1.instid = t2.instid JOIN papers AS t3 ON t2.paperid = t3.paperid GROUP BY t1.country ORDER BY count(*) DESC LIMIT 1 | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Retrieve",
"the",
"country",
"that",
"has",
"published",
"the",
"most",
"papers",
"."
] |
icfp_1 | Find the country that the most papers are affiliated with. | SELECT t1.country FROM inst AS t1 JOIN authorship AS t2 ON t1.instid = t2.instid JOIN papers AS t3 ON t2.paperid = t3.paperid GROUP BY t1.country ORDER BY count(*) DESC LIMIT 1 | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Find",
"the",
"country",
"that",
"the",
"most",
"papers",
"are",
"affiliated",
"with",
"."
] |
icfp_1 | Find the name of the organization that has published the largest number of papers. | SELECT t1.name FROM inst AS t1 JOIN authorship AS t2 ON t1.instid = t2.instid JOIN papers AS t3 ON t2.paperid = t3.paperid GROUP BY t1.name ORDER BY count(*) DESC LIMIT 1 | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Find",
"the",
"name",
"of",
"the",
"organization",
"that",
"has",
"published",
"the",
"largest",
"number",
"of",
"papers",
"."
] |
icfp_1 | Which institution has the most papers? Find the name of the institution. | SELECT t1.name FROM inst AS t1 JOIN authorship AS t2 ON t1.instid = t2.instid JOIN papers AS t3 ON t2.paperid = t3.paperid GROUP BY t1.name ORDER BY count(*) DESC LIMIT 1 | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Which",
"institution",
"has",
"the",
"most",
"papers",
"?",
"Find",
"the",
"name",
"of",
"the",
"institution",
"."
] |
icfp_1 | Find the titles of the papers that contain the word "ML". | SELECT title FROM papers WHERE title LIKE "%ML%" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Find",
"the",
"titles",
"of",
"the",
"papers",
"that",
"contain",
"the",
"word",
"``",
"ML",
"''",
"."
] |
icfp_1 | Which papers have the substring "ML" in their titles? Return the titles of the papers. | SELECT title FROM papers WHERE title LIKE "%ML%" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Which",
"papers",
"have",
"the",
"substring",
"``",
"ML",
"''",
"in",
"their",
"titles",
"?",
"Return",
"the",
"titles",
"of",
"the",
"papers",
"."
] |
icfp_1 | Which paper's title contains the word "Database"? | SELECT title FROM papers WHERE title LIKE "%Database%" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Which",
"paper",
"'s",
"title",
"contains",
"the",
"word",
"``",
"Database",
"''",
"?"
] |
icfp_1 | Which papers have the substring "Database" in their titles? Show the titles of the papers. | SELECT title FROM papers WHERE title LIKE "%Database%" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Which",
"papers",
"have",
"the",
"substring",
"``",
"Database",
"''",
"in",
"their",
"titles",
"?",
"Show",
"the",
"titles",
"of",
"the",
"papers",
"."
] |
icfp_1 | Find the first names of all the authors who have written a paper with title containing the word "Functional". | SELECT t1.fname FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid WHERE t3.title LIKE "%Functional%" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Find",
"the",
"first",
"names",
"of",
"all",
"the",
"authors",
"who",
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"written",
"a",
"paper",
"with",
"title",
"containing",
"the",
"word",
"``",
"Functional",
"''",
"."
] |
icfp_1 | Who has written a paper that has the word "Functional" in its title? Return the first names of the authors. | SELECT t1.fname FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid WHERE t3.title LIKE "%Functional%" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Who",
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"a",
"paper",
"that",
"has",
"the",
"word",
"``",
"Functional",
"''",
"in",
"its",
"title",
"?",
"Return",
"the",
"first",
"names",
"of",
"the",
"authors",
"."
] |
icfp_1 | Find the last names of all the authors that have written a paper with title containing the word "Monadic". | SELECT t1.lname FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid WHERE t3.title LIKE "%Monadic%" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Find",
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"last",
"names",
"of",
"all",
"the",
"authors",
"that",
"have",
"written",
"a",
"paper",
"with",
"title",
"containing",
"the",
"word",
"``",
"Monadic",
"''",
"."
] |
icfp_1 | Which authors have written a paper with title containing the word "Monadic"? Return their last names. | SELECT t1.lname FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid WHERE t3.title LIKE "%Monadic%" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Which",
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"have",
"written",
"a",
"paper",
"with",
"title",
"containing",
"the",
"word",
"``",
"Monadic",
"''",
"?",
"Return",
"their",
"last",
"names",
"."
] |
icfp_1 | Retrieve the title of the paper that has the largest number of authors. | SELECT t2.title FROM authorship AS t1 JOIN papers AS t2 ON t1.paperid = t2.paperid WHERE t1.authorder = (SELECT max(authorder) FROM authorship) | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Retrieve",
"the",
"title",
"of",
"the",
"paper",
"that",
"has",
"the",
"largest",
"number",
"of",
"authors",
"."
] |
icfp_1 | Which paper has the most authors? Give me the paper title. | SELECT t2.title FROM authorship AS t1 JOIN papers AS t2 ON t1.paperid = t2.paperid WHERE t1.authorder = (SELECT max(authorder) FROM authorship) | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Which",
"paper",
"has",
"the",
"most",
"authors",
"?",
"Give",
"me",
"the",
"paper",
"title",
"."
] |
icfp_1 | What is the first name of the author with last name "Ueno"? | SELECT fname FROM authors WHERE lname = "Ueno" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"What",
"is",
"the",
"first",
"name",
"of",
"the",
"author",
"with",
"last",
"name",
"``",
"Ueno",
"''",
"?"
] |
icfp_1 | Which authors have last name "Ueno"? List their first names. | SELECT fname FROM authors WHERE lname = "Ueno" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Which",
"authors",
"have",
"last",
"name",
"``",
"Ueno",
"''",
"?",
"List",
"their",
"first",
"names",
"."
] |
icfp_1 | Find the last name of the author with first name "Amal". | SELECT lname FROM authors WHERE fname = "Amal" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Find",
"the",
"last",
"name",
"of",
"the",
"author",
"with",
"first",
"name",
"``",
"Amal",
"''",
"."
] |
icfp_1 | Which authors have first name "Amal"? List their last names. | SELECT lname FROM authors WHERE fname = "Amal" | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Which",
"authors",
"have",
"first",
"name",
"``",
"Amal",
"''",
"?",
"List",
"their",
"last",
"names",
"."
] |
icfp_1 | Find the first names of all the authors ordered in alphabetical order. | SELECT fname FROM authors ORDER BY fname | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Find",
"the",
"first",
"names",
"of",
"all",
"the",
"authors",
"ordered",
"in",
"alphabetical",
"order",
"."
] |
icfp_1 | Sort the first names of all the authors in alphabetical order. | SELECT fname FROM authors ORDER BY fname | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Sort",
"the",
"first",
"names",
"of",
"all",
"the",
"authors",
"in",
"alphabetical",
"order",
"."
] |
icfp_1 | Retrieve all the last names of authors in alphabetical order. | SELECT lname FROM authors ORDER BY lname | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Retrieve",
"all",
"the",
"last",
"names",
"of",
"authors",
"in",
"alphabetical",
"order",
"."
] |
icfp_1 | Give me a list of all the last names of authors sorted in alphabetical order | SELECT lname FROM authors ORDER BY lname | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Give",
"me",
"a",
"list",
"of",
"all",
"the",
"last",
"names",
"of",
"authors",
"sorted",
"in",
"alphabetical",
"order"
] |
icfp_1 | Retrieve all the first and last names of authors in the alphabetical order of last names. | SELECT fname , lname FROM authors ORDER BY lname | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Retrieve",
"all",
"the",
"first",
"and",
"last",
"names",
"of",
"authors",
"in",
"the",
"alphabetical",
"order",
"of",
"last",
"names",
"."
] |
icfp_1 | Sort the list of all the first and last names of authors in alphabetical order of the last names. | SELECT fname , lname FROM authors ORDER BY lname | Inst: instID (number), name (text), country (text) | Authors: authID (number), lname (text), fname (text) | Papers: paperID (number), title (text) | Authorship: authID (number), instID (number), paperID (number), authOrder (number) | [
"Sort",
"the",
"list",
"of",
"all",
"the",
"first",
"and",
"last",
"names",
"of",
"authors",
"in",
"alphabetical",
"order",
"of",
"the",
"last",
"names",
"."
] |
sakila_1 | How many different last names do the actors and actresses have? | SELECT count(DISTINCT last_name) FROM actor | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"How",
"many",
"different",
"last",
"names",
"do",
"the",
"actors",
"and",
"actresses",
"have",
"?"
] |
sakila_1 | Count the number of different last names actors have. | SELECT count(DISTINCT last_name) FROM actor | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Count",
"the",
"number",
"of",
"different",
"last",
"names",
"actors",
"have",
"."
] |
sakila_1 | What is the most popular first name of the actors? | SELECT first_name FROM actor GROUP BY first_name ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"is",
"the",
"most",
"popular",
"first",
"name",
"of",
"the",
"actors",
"?"
] |
sakila_1 | Return the most common first name among all actors. | SELECT first_name FROM actor GROUP BY first_name ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"most",
"common",
"first",
"name",
"among",
"all",
"actors",
"."
] |
sakila_1 | What is the most popular full name of the actors? | SELECT first_name , last_name FROM actor GROUP BY first_name , last_name ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"is",
"the",
"most",
"popular",
"full",
"name",
"of",
"the",
"actors",
"?"
] |
sakila_1 | Return the most common full name among all actors. | SELECT first_name , last_name FROM actor GROUP BY first_name , last_name ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"most",
"common",
"full",
"name",
"among",
"all",
"actors",
"."
] |
sakila_1 | Which districts have at least two addresses? | SELECT district FROM address GROUP BY district HAVING count(*) >= 2 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Which",
"districts",
"have",
"at",
"least",
"two",
"addresses",
"?"
] |
sakila_1 | Give the districts which have two or more addresses. | SELECT district FROM address GROUP BY district HAVING count(*) >= 2 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Give",
"the",
"districts",
"which",
"have",
"two",
"or",
"more",
"addresses",
"."
] |
sakila_1 | What is the phone number and postal code of the address 1031 Daugavpils Parkway? | SELECT phone , postal_code FROM address WHERE address = '1031 Daugavpils Parkway' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"is",
"the",
"phone",
"number",
"and",
"postal",
"code",
"of",
"the",
"address",
"1031",
"Daugavpils",
"Parkway",
"?"
] |
sakila_1 | Give the phone and postal code corresponding to the address '1031 Daugavpils Parkway'. | SELECT phone , postal_code FROM address WHERE address = '1031 Daugavpils Parkway' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Give",
"the",
"phone",
"and",
"postal",
"code",
"corresponding",
"to",
"the",
"address",
"'1031",
"Daugavpils",
"Parkway",
"'",
"."
] |
sakila_1 | Which city has the most addresses? List the city name, number of addresses, and city id. | SELECT T2.city , count(*) , T1.city_id FROM address AS T1 JOIN city AS T2 ON T1.city_id = T2.city_id GROUP BY T1.city_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Which",
"city",
"has",
"the",
"most",
"addresses",
"?",
"List",
"the",
"city",
"name",
",",
"number",
"of",
"addresses",
",",
"and",
"city",
"id",
"."
] |
sakila_1 | What are the city name, id, and number of addresses corresponding to the city with the most addressed? | SELECT T2.city , count(*) , T1.city_id FROM address AS T1 JOIN city AS T2 ON T1.city_id = T2.city_id GROUP BY T1.city_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"are",
"the",
"city",
"name",
",",
"id",
",",
"and",
"number",
"of",
"addresses",
"corresponding",
"to",
"the",
"city",
"with",
"the",
"most",
"addressed",
"?"
] |
sakila_1 | How many addresses are in the district of California? | SELECT count(*) FROM address WHERE district = 'California' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"How",
"many",
"addresses",
"are",
"in",
"the",
"district",
"of",
"California",
"?"
] |
sakila_1 | Count the number of addressed in the California district. | SELECT count(*) FROM address WHERE district = 'California' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Count",
"the",
"number",
"of",
"addressed",
"in",
"the",
"California",
"district",
"."
] |
sakila_1 | Which film is rented at a fee of 0.99 and has less than 3 in the inventory? List the film title and id. | SELECT title , film_id FROM film WHERE rental_rate = 0.99 INTERSECT SELECT T1.title , T1.film_id FROM film AS T1 JOIN inventory AS T2 ON T1.film_id = T2.film_id GROUP BY T1.film_id HAVING count(*) < 3 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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sakila_1 | What are the title and id of the film which has a rental rate of 0.99 and an inventory of below 3? | SELECT title , film_id FROM film WHERE rental_rate = 0.99 INTERSECT SELECT T1.title , T1.film_id FROM film AS T1 JOIN inventory AS T2 ON T1.film_id = T2.film_id GROUP BY T1.film_id HAVING count(*) < 3 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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] |
sakila_1 | How many cities are in Australia? | SELECT count(*) FROM city AS T1 JOIN country AS T2 ON T1.country_id = T2.country_id WHERE T2.country = 'Australia' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"Australia",
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] |
sakila_1 | Count the number of cities in Australia. | SELECT count(*) FROM city AS T1 JOIN country AS T2 ON T1.country_id = T2.country_id WHERE T2.country = 'Australia' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"Australia",
"."
] |
sakila_1 | Which countries have at least 3 cities? | SELECT T2.country FROM city AS T1 JOIN country AS T2 ON T1.country_id = T2.country_id GROUP BY T2.country_id HAVING count(*) >= 3 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"?"
] |
sakila_1 | What are the countries that contain 3 or more cities? | SELECT T2.country FROM city AS T1 JOIN country AS T2 ON T1.country_id = T2.country_id GROUP BY T2.country_id HAVING count(*) >= 3 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"that",
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"?"
] |
sakila_1 | Find all the payment dates for the payments with an amount larger than 10 and the payments handled by a staff person with the first name Elsa. | SELECT payment_date FROM payment WHERE amount > 10 UNION SELECT T1.payment_date FROM payment AS T1 JOIN staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = 'Elsa' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"Elsa",
"."
] |
sakila_1 | What are the payment dates for any payments that have an amount greater than 10 or were handled by a staff member with the first name Elsa? | SELECT payment_date FROM payment WHERE amount > 10 UNION SELECT T1.payment_date FROM payment AS T1 JOIN staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = 'Elsa' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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] |
sakila_1 | How many customers have an active value of 1? | SELECT count(*) FROM customer WHERE active = '1' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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] |
sakila_1 | Count the number of customers who are active. | SELECT count(*) FROM customer WHERE active = '1' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"."
] |
sakila_1 | Which film has the highest rental rate? And what is the rate? | SELECT title , rental_rate FROM film ORDER BY rental_rate DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"rental",
"rate",
"?",
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"what",
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"?"
] |
sakila_1 | What are the title and rental rate of the film with the highest rental rate? | SELECT title , rental_rate FROM film ORDER BY rental_rate DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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] |
sakila_1 | Which film has the most number of actors or actresses? List the film name, film id and description. | SELECT T2.title , T2.film_id , T2.description FROM film_actor AS T1 JOIN film AS T2 ON T1.film_id = T2.film_id GROUP BY T2.film_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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",",
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"."
] |
sakila_1 | What are the title, id, and description of the movie with the greatest number of actors? | SELECT T2.title , T2.film_id , T2.description FROM film_actor AS T1 JOIN film AS T2 ON T1.film_id = T2.film_id GROUP BY T2.film_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"?"
] |
sakila_1 | Which film actor (actress) starred the most films? List his or her first name, last name and actor id. | SELECT T2.first_name , T2.last_name , T2.actor_id FROM film_actor AS T1 JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.actor_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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",",
"last",
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"."
] |
sakila_1 | Return the full name and id of the actor or actress who starred in the greatest number of films. | SELECT T2.first_name , T2.last_name , T2.actor_id FROM film_actor AS T1 JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.actor_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"actress",
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"in",
"the",
"greatest",
"number",
"of",
"films",
"."
] |
sakila_1 | Which film actors (actresses) played a role in more than 30 films? List his or her first name and last name. | SELECT T2.first_name , T2.last_name FROM film_actor AS T1 JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.actor_id HAVING count(*) > 30 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"films",
"?",
"List",
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"her",
"first",
"name",
"and",
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"name",
"."
] |
sakila_1 | What are the full names of actors who had roles in more than 30 films? | SELECT T2.first_name , T2.last_name FROM film_actor AS T1 JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.actor_id HAVING count(*) > 30 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"30",
"films",
"?"
] |
sakila_1 | Which store owns most items? | SELECT store_id FROM inventory GROUP BY store_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Which",
"store",
"owns",
"most",
"items",
"?"
] |
sakila_1 | What is the id of the store that has the most items in inventory? | SELECT store_id FROM inventory GROUP BY store_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"the",
"id",
"of",
"the",
"store",
"that",
"has",
"the",
"most",
"items",
"in",
"inventory",
"?"
] |
sakila_1 | What is the total amount of all payments? | SELECT sum(amount) FROM payment | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"is",
"the",
"total",
"amount",
"of",
"all",
"payments",
"?"
] |
sakila_1 | Return the sum of all payment amounts. | SELECT sum(amount) FROM payment | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"sum",
"of",
"all",
"payment",
"amounts",
"."
] |
sakila_1 | Which customer, who has made at least one payment, has spent the least money? List his or her first name, last name, and the id. | SELECT T1.first_name , T1.last_name , T1.customer_id FROM customer AS T1 JOIN payment AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY sum(amount) ASC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"her",
"first",
"name",
",",
"last",
"name",
",",
"and",
"the",
"id",
"."
] |
sakila_1 | What is the full name and id of the customer who has the lowest total amount of payment? | SELECT T1.first_name , T1.last_name , T1.customer_id FROM customer AS T1 JOIN payment AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY sum(amount) ASC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"?"
] |
sakila_1 | What is the genre name of the film HUNGER ROOF? | SELECT T1.name FROM category AS T1 JOIN film_category AS T2 ON T1.category_id = T2.category_id JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.title = 'HUNGER ROOF' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"the",
"genre",
"name",
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"HUNGER",
"ROOF",
"?"
] |
sakila_1 | Return the name of the category to which the film 'HUNGER ROOF' belongs. | SELECT T1.name FROM category AS T1 JOIN film_category AS T2 ON T1.category_id = T2.category_id JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.title = 'HUNGER ROOF' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"'HUNGER",
"ROOF",
"'",
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"."
] |
sakila_1 | How many films are there in each category? List the genre name, genre id and the count. | SELECT T2.name , T1.category_id , count(*) FROM film_category AS T1 JOIN category AS T2 ON T1.category_id = T2.category_id GROUP BY T1.category_id | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"genre",
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"the",
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"."
] |
sakila_1 | What are the names and ids of the different categories, and how many films are in each? | SELECT T2.name , T1.category_id , count(*) FROM film_category AS T1 JOIN category AS T2 ON T1.category_id = T2.category_id GROUP BY T1.category_id | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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] |
sakila_1 | Which film has the most copies in the inventory? List both title and id. | SELECT T1.title , T1.film_id FROM film AS T1 JOIN inventory AS T2 ON T1.film_id = T2.film_id GROUP BY T1.film_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"?",
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"."
] |
sakila_1 | What is the title and id of the film that has the greatest number of copies in inventory? | SELECT T1.title , T1.film_id FROM film AS T1 JOIN inventory AS T2 ON T1.film_id = T2.film_id GROUP BY T1.film_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"?"
] |
sakila_1 | What is the film title and inventory id of the item in the inventory which was rented most frequently? | SELECT T1.title , T2.inventory_id FROM film AS T1 JOIN inventory AS T2 ON T1.film_id = T2.film_id JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id GROUP BY T2.inventory_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
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"which",
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"?"
] |
sakila_1 | Return the title and inventory id of the film that is rented most often. | SELECT T1.title , T2.inventory_id FROM film AS T1 JOIN inventory AS T2 ON T1.film_id = T2.film_id JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id GROUP BY T2.inventory_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"title",
"and",
"inventory",
"id",
"of",
"the",
"film",
"that",
"is",
"rented",
"most",
"often",
"."
] |
sakila_1 | How many languages are in these films? | SELECT count(DISTINCT language_id) FROM film | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"How",
"many",
"languages",
"are",
"in",
"these",
"films",
"?"
] |
sakila_1 | Count the number of different languages in these films. | SELECT count(DISTINCT language_id) FROM film | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Count",
"the",
"number",
"of",
"different",
"languages",
"in",
"these",
"films",
"."
] |
sakila_1 | What are all the movies rated as R? List the titles. | SELECT title FROM film WHERE rating = 'R' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"are",
"all",
"the",
"movies",
"rated",
"as",
"R",
"?",
"List",
"the",
"titles",
"."
] |
sakila_1 | Return the titles of any movies with an R rating. | SELECT title FROM film WHERE rating = 'R' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"titles",
"of",
"any",
"movies",
"with",
"an",
"R",
"rating",
"."
] |
sakila_1 | Where is store 1 located? | SELECT T2.address FROM store AS T1 JOIN address AS T2 ON T1.address_id = T2.address_id WHERE store_id = 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Where",
"is",
"store",
"1",
"located",
"?"
] |
sakila_1 | Return the address of store 1. | SELECT T2.address FROM store AS T1 JOIN address AS T2 ON T1.address_id = T2.address_id WHERE store_id = 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"address",
"of",
"store",
"1",
"."
] |
sakila_1 | Which staff handled least number of payments? List the full name and the id. | SELECT T1.first_name , T1.last_name , T1.staff_id FROM staff AS T1 JOIN payment AS T2 ON T1.staff_id = T2.staff_id GROUP BY T1.staff_id ORDER BY count(*) ASC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Which",
"staff",
"handled",
"least",
"number",
"of",
"payments",
"?",
"List",
"the",
"full",
"name",
"and",
"the",
"id",
"."
] |
sakila_1 | Give the full name and staff id of the staff who has handled the fewest payments. | SELECT T1.first_name , T1.last_name , T1.staff_id FROM staff AS T1 JOIN payment AS T2 ON T1.staff_id = T2.staff_id GROUP BY T1.staff_id ORDER BY count(*) ASC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Give",
"the",
"full",
"name",
"and",
"staff",
"id",
"of",
"the",
"staff",
"who",
"has",
"handled",
"the",
"fewest",
"payments",
"."
] |
sakila_1 | Which language does the film AIRPORT POLLOCK use? List the language name. | SELECT T2.name FROM film AS T1 JOIN LANGUAGE AS T2 ON T1.language_id = T2.language_id WHERE T1.title = 'AIRPORT POLLOCK' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Which",
"language",
"does",
"the",
"film",
"AIRPORT",
"POLLOCK",
"use",
"?",
"List",
"the",
"language",
"name",
"."
] |
sakila_1 | What is the name of the language that the film 'AIRPORT POLLOCK' is in? | SELECT T2.name FROM film AS T1 JOIN LANGUAGE AS T2 ON T1.language_id = T2.language_id WHERE T1.title = 'AIRPORT POLLOCK' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"is",
"the",
"name",
"of",
"the",
"language",
"that",
"the",
"film",
"'AIRPORT",
"POLLOCK",
"'",
"is",
"in",
"?"
] |
sakila_1 | How many stores are there? | SELECT count(*) FROM store | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"How",
"many",
"stores",
"are",
"there",
"?"
] |
sakila_1 | Count the number of stores. | SELECT count(*) FROM store | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Count",
"the",
"number",
"of",
"stores",
"."
] |
sakila_1 | How many kinds of different ratings are listed? | SELECT count(DISTINCT rating) FROM film | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"How",
"many",
"kinds",
"of",
"different",
"ratings",
"are",
"listed",
"?"
] |
sakila_1 | Count the number of different film ratings. | SELECT count(DISTINCT rating) FROM film | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Count",
"the",
"number",
"of",
"different",
"film",
"ratings",
"."
] |
sakila_1 | Which movies have 'Deleted Scenes' as a substring in the special feature? | SELECT title FROM film WHERE special_features LIKE '%Deleted Scenes%' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Which",
"movies",
"have",
"'Deleted",
"Scenes",
"'",
"as",
"a",
"substring",
"in",
"the",
"special",
"feature",
"?"
] |
sakila_1 | Return the titles of films that include 'Deleted Scenes' in their special feature section. | SELECT title FROM film WHERE special_features LIKE '%Deleted Scenes%' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"titles",
"of",
"films",
"that",
"include",
"'Deleted",
"Scenes",
"'",
"in",
"their",
"special",
"feature",
"section",
"."
] |
sakila_1 | How many items in inventory does store 1 have? | SELECT count(*) FROM inventory WHERE store_id = 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"How",
"many",
"items",
"in",
"inventory",
"does",
"store",
"1",
"have",
"?"
] |
sakila_1 | Count the number of items store 1 has in stock. | SELECT count(*) FROM inventory WHERE store_id = 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Count",
"the",
"number",
"of",
"items",
"store",
"1",
"has",
"in",
"stock",
"."
] |
sakila_1 | When did the first payment happen? | SELECT payment_date FROM payment ORDER BY payment_date ASC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"When",
"did",
"the",
"first",
"payment",
"happen",
"?"
] |
sakila_1 | What was the date of the earliest payment? | SELECT payment_date FROM payment ORDER BY payment_date ASC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"was",
"the",
"date",
"of",
"the",
"earliest",
"payment",
"?"
] |
sakila_1 | Where does the customer with the first name Linda live? And what is her email? | SELECT T2.address , T1.email FROM customer AS T1 JOIN address AS T2 ON T2.address_id = T1.address_id WHERE T1.first_name = 'LINDA' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Where",
"does",
"the",
"customer",
"with",
"the",
"first",
"name",
"Linda",
"live",
"?",
"And",
"what",
"is",
"her",
"email",
"?"
] |
sakila_1 | Return the address and email of the customer with the first name Linda. | SELECT T2.address , T1.email FROM customer AS T1 JOIN address AS T2 ON T2.address_id = T1.address_id WHERE T1.first_name = 'LINDA' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"address",
"and",
"email",
"of",
"the",
"customer",
"with",
"the",
"first",
"name",
"Linda",
"."
] |
sakila_1 | Find all the films longer than 100 minutes, or rated PG, except those who cost more than 200 for replacement. List the titles. | SELECT title FROM film WHERE LENGTH > 100 OR rating = 'PG' EXCEPT SELECT title FROM film WHERE replacement_cost > 200 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Find",
"all",
"the",
"films",
"longer",
"than",
"100",
"minutes",
",",
"or",
"rated",
"PG",
",",
"except",
"those",
"who",
"cost",
"more",
"than",
"200",
"for",
"replacement",
".",
"List",
"the",
"titles",
"."
] |
sakila_1 | What are the titles of films that are either longer than 100 minutes or rated PG other than those that cost more than 200 to replace? | SELECT title FROM film WHERE LENGTH > 100 OR rating = 'PG' EXCEPT SELECT title FROM film WHERE replacement_cost > 200 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"are",
"the",
"titles",
"of",
"films",
"that",
"are",
"either",
"longer",
"than",
"100",
"minutes",
"or",
"rated",
"PG",
"other",
"than",
"those",
"that",
"cost",
"more",
"than",
"200",
"to",
"replace",
"?"
] |
sakila_1 | What is the first name and the last name of the customer who made the earliest rental? | SELECT T1.first_name , T1.last_name FROM customer AS T1 JOIN rental AS T2 ON T1.customer_id = T2.customer_id ORDER BY T2.rental_date ASC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"is",
"the",
"first",
"name",
"and",
"the",
"last",
"name",
"of",
"the",
"customer",
"who",
"made",
"the",
"earliest",
"rental",
"?"
] |
sakila_1 | Return the full name of the customer who made the first rental. | SELECT T1.first_name , T1.last_name FROM customer AS T1 JOIN rental AS T2 ON T1.customer_id = T2.customer_id ORDER BY T2.rental_date ASC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"full",
"name",
"of",
"the",
"customer",
"who",
"made",
"the",
"first",
"rental",
"."
] |
sakila_1 | What is the full name of the staff member who has rented a film to a customer with the first name April and the last name Burns? | SELECT DISTINCT T1.first_name , T1.last_name FROM staff AS T1 JOIN rental AS T2 ON T1.staff_id = T2.staff_id JOIN customer AS T3 ON T2.customer_id = T3.customer_id WHERE T3.first_name = 'APRIL' AND T3.last_name = 'BURNS' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"What",
"is",
"the",
"full",
"name",
"of",
"the",
"staff",
"member",
"who",
"has",
"rented",
"a",
"film",
"to",
"a",
"customer",
"with",
"the",
"first",
"name",
"April",
"and",
"the",
"last",
"name",
"Burns",
"?"
] |
sakila_1 | Return the full name of the staff who provided a customer with the first name April and the last name Burns with a film rental. | SELECT DISTINCT T1.first_name , T1.last_name FROM staff AS T1 JOIN rental AS T2 ON T1.staff_id = T2.staff_id JOIN customer AS T3 ON T2.customer_id = T3.customer_id WHERE T3.first_name = 'APRIL' AND T3.last_name = 'BURNS' | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"full",
"name",
"of",
"the",
"staff",
"who",
"provided",
"a",
"customer",
"with",
"the",
"first",
"name",
"April",
"and",
"the",
"last",
"name",
"Burns",
"with",
"a",
"film",
"rental",
"."
] |
sakila_1 | Which store has most the customers? | SELECT store_id FROM customer GROUP BY store_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Which",
"store",
"has",
"most",
"the",
"customers",
"?"
] |
sakila_1 | Return the id of the store with the most customers. | SELECT store_id FROM customer GROUP BY store_id ORDER BY count(*) DESC LIMIT 1 | actor: actor_id (number), first_name (text), last_name (text), last_update (time) | address: address_id (number), address (text), address2 (text), district (text), city_id (number), postal_code (text), phone (text), last_update (time) | category: category_id (number), name (text), last_update (time) | city: city_id (nu... | [
"Return",
"the",
"id",
"of",
"the",
"store",
"with",
"the",
"most",
"customers",
"."
] |
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