ajayk007/querysmith-spider-bird huggingface dataset:
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE "Songs" ( 
	"SongId" INTEGER PRIMARY KEY, 
	"Title" TEXT 
);
CREATE TABLE "Albums" ( 
	"AId" INTEGER PRIMARY KEY, 
	"Title" TEXT, 
	"Year" INTEGER, 
	"Label" TEXT, 
	"Type" TEXT );
CREATE TABLE "Band" ( 
	"Id" INTEGER PRIMARY KEY, 
	"Firstname" TEXT, 
	"Lastname" TEXT );
CREATE TABLE "Instruments" ( 
	"SongId" INTEGER, 
	"BandmateId" INTEGER, 
	"Instrument" TEXT ,
	PRIMARY KEY(SongId, BandmateId, Instrument),
	FOREIGN KEY (SongId) REFERENCES Songs(SongId),
	FOREIGN KEY (BandmateId) REFERENCES Band(Id)
);
CREATE TABLE "Performance" ( 
	"SongId" INTEGER, 
	"Bandmate" INTEGER, 
	"StagePosition" TEXT,
	PRIMARY KEY(SongId, Bandmate),
	FOREIGN KEY (SongId) REFERENCES Songs(SongId),
	FOREIGN KEY (Bandmate) REFERENCES Band(Id)
);
CREATE TABLE "Tracklists" ( 
	"AlbumId" INTEGER, 
	"Position" INTEGER, 
	"SongId" INTEGER ,
	PRIMARY KEY(AlbumId, Position),
	FOREIGN KEY (SongId) REFERENCES Songs(SongId),
	FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
);
CREATE TABLE "Vocals" ( 
	"SongId" INTEGER, 
	"Bandmate" INTEGER, 
	"Type" TEXT,
	PRIMARY KEY(SongId, Bandmate),
	FOREIGN KEY (SongId) REFERENCES Songs(SongId),
	FOREIGN KEY (Bandmate) REFERENCES Band(Id)
);

Question: What are all the instruments used?

assistant: SELECT DISTINCT instrument FROM Instruments
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE Method (
  Id integer PRIMARY KEY,
  Name text,
  FullComment text,
  Summary text,
  ApiCalls text,
  CommentIsXml integer,
  SampledAt integer,
  SolutionId integer,
  Lang text,
  NameTokenized text
);
CREATE TABLE MethodParameter (
  Id integer PRIMARY KEY,
  MethodId text,
  Type text,
  Name text
);
CREATE TABLE Repo (
  Id integer PRIMARY KEY,
  Url text,
  Stars integer,
  Forks integer,
  Watchers integer,
  ProcessedTime integer
);
CREATE TABLE Solution (
  Id integer PRIMARY KEY,
  RepoId integer,
  Path text,
  ProcessedTime integer,
  WasCompiled integer
);

Hint: how many liked by people refers to Stars; solution path refers to Path; Path = 'ninject_Ninject\Ninject.sln';

Question: How many liked by people does the solution path "ninject_Ninject\Ninject.sln
" have?

assistant: SELECT DISTINCT T1.Stars FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Path = 'ninject_NinjectNinject.sln'
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE current (
  ballotpedia_id text,
  bioguide_id text PRIMARY KEY,
  birthday_bio date,
  cspan_id real PRIMARY KEY,
  fec_id text,
  first_name text,
  gender_bio text,
  google_entity_id_id text,
  govtrack_id integer,
  house_history_id real,
  icpsr_id real,
  last_name text,
  lis_id text,
  maplight_id real,
  middle_name text,
  nickname_name text,
  official_full_name text,
  opensecrets_id text,
  religion_bio text,
  suffix_name text,
  thomas_id integer,
  votesmart_id real,
  wikidata_id text,
  wikipedia_id text
);
CREATE TABLE current-terms (
  address text,
  bioguide text PRIMARY KEY,
  caucus text,
  chamber text,
  class real,
  contact_form text,
  district real,
  end text PRIMARY KEY,
  fax text,
  last text,
  name text,
  office text,
  party text,
  party_affiliations text,
  phone text,
  relation text,
  rss_url text,
  start text,
  state text,
  state_rank text,
  title text,
  type text,
  url text
);
CREATE TABLE historical (
  ballotpedia_id text,
  bioguide_id text PRIMARY KEY,
  bioguide_previous_id text,
  birthday_bio text,
  cspan_id text,
  fec_id text,
  first_name text,
  gender_bio text,
  google_entity_id_id text,
  govtrack_id integer,
  house_history_alternate_id text,
  house_history_id real,
  icpsr_id real,
  last_name text,
  lis_id text,
  maplight_id text,
  middle_name text,
  nickname_name text,
  official_full_name text,
  opensecrets_id text,
  religion_bio text,
  suffix_name text,
  thomas_id text,
  votesmart_id text,
  wikidata_id text,
  wikipedia_id text
);
CREATE TABLE historical-terms (
  address text,
  bioguide text PRIMARY KEY,
  chamber text,
  class real,
  contact_form text,
  district real,
  end text,
  fax text,
  last text,
  middle text,
  name text,
  office text,
  party text,
  party_affiliations text,
  phone text,
  relation text,
  rss_url text,
  start text,
  state text,
  state_rank text,
  title text,
  type text,
  url text
);
CREATE TABLE social-media (
  bioguide text PRIMARY KEY,
  facebook text,
  facebook_id real,
  govtrack real,
  instagram text,
  instagram_id real,
  thomas integer,
  twitter text,
  twitter_id real,
  youtube text,
  youtube_id text
);
-- foreign keys: current-terms.bioguide -> current.bioguide_id; historical-terms.bioguide -> historical.bioguide_id; social-media.bioguide -> current.bioguide_id

Hint: have facebook, instagram, twitter and youtube accounts refers to 'facebook' is not null AND 'instagram' is not null AND 'twitter' is not null AND 'youtube' is not null;

Question: List the official full names of all the legislators who have facebook, instagram, twitter and youtube accounts.

assistant: SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook IS NOT NULL AND T2.instagram IS NOT NULL AND T2.twitter IS NOT NULL AND T2.youtube IS NOT NULL
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE customers (
  CustomerID integer PRIMARY KEY,
  First text,
  Last text,
  StreetAddress text,
  City text,
  State text,
  ZipCode integer,
  Email text,
  PhoneNumber text,
  FirstPurchaseDate date,
  SubscribedToEmailList text,
  Gender text
);
CREATE TABLE geolocation (
  LocationID integer PRIMARY KEY,
  Latitude real,
  Longitude real
);
CREATE TABLE location (
  LocationID integer PRIMARY KEY,
  LocationName text,
  StreetAddress text,
  City text,
  State text,
  ZipCode integer
);
CREATE TABLE rootbeerbrand (
  BrandID integer PRIMARY KEY,
  BrandName text,
  FirstBrewedYear integer,
  BreweryName text,
  City text,
  State text,
  Country text,
  Description text,
  CaneSugar text,
  CornSyrup text,
  Honey text,
  ArtificialSweetener text,
  Caffeinated text,
  Alcoholic text,
  AvailableInCans text,
  AvailableInBottles text,
  AvailableInKegs text,
  Website text,
  FacebookPage text,
  Twitter text,
  WholesaleCost real,
  CurrentRetailPrice real
);
CREATE TABLE rootbeer (
  RootBeerID integer PRIMARY KEY,
  BrandID integer,
  ContainerType text,
  LocationID integer,
  PurchaseDate date
);
CREATE TABLE rootbeerreview (
  CustomerID integer PRIMARY KEY,
  BrandID integer PRIMARY KEY,
  StarRating integer,
  ReviewDate date,
  Review text
);
CREATE TABLE transaction (
  TransactionID integer PRIMARY KEY,
  CreditCardNumber integer,
  CustomerID integer,
  TransactionDate date,
  CreditCardType text,
  LocationID integer,
  RootBeerID integer,
  PurchasePrice real
);
-- foreign keys: geolocation.LocationID -> location.LocationID; location.LocationID -> geolocation.LocationID; rootbeer.BrandID -> rootbeerbrand.BrandID; rootbeer.LocationID -> location.LocationID; rootbeer.LocationID -> geolocation.LocationID; rootbeerreview.BrandID -> rootbeerbrand.BrandID; rootbeerreview.CustomerID -> customers.CustomerID; transaction.RootBeerID -> rootbeer.RootBeerID; transaction.LocationID -> location.LocationID; transaction.CustomerID -> customers.CustomerID

Hint: coordinates 38,566,129, -121,426,432 refers to Latitude = 38.566129 AND Longitude = -121.426432;

Question: What brands of beers are manufactured at coordinates 38,566,129, -121,426,432?

assistant: SELECT DISTINCT T2.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID INNER JOIN geolocation AS T3 ON T1.LocationID = T3.LocationID WHERE T3.Latitude = '38.566129' AND T3.Longitude = '-121.426432'
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE characters (
  movie_title text PRIMARY KEY,
  release_date text,
  hero text,
  villian text,
  song text
);
CREATE TABLE director (
  name text PRIMARY KEY,
  director text
);
CREATE TABLE movies_total_gross (
  movie_title text PRIMARY KEY,
  release_date text PRIMARY KEY,
  genre text,
  MPAA_rating text,
  total_gross text,
  inflation_adjusted_gross text
);
CREATE TABLE revenue (
  Year integer PRIMARY KEY,
  Studio Entertainment[NI 1] real,
  Disney Consumer Products[NI 2] real,
  Disney Interactive[NI 3][Rev 1] integer,
  Walt Disney Parks and Resorts real,
  Disney Media Networks text,
  Total integer
);
CREATE TABLE voice-actors (
  character text PRIMARY KEY,
  voice-actor text,
  movie text
);
-- foreign keys: characters.hero -> voice-actors.character; director.name -> characters.movie_title; movies_total_gross.movie_title -> characters.movie_title; voice-actors.movie -> characters.movie_title

Hint: song = 'Little Wonders'

Question: How much is the total gross of the movie with a song titled "Little Wonders"?

assistant: SELECT T1.total_gross FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T2.movie_title = T1.movie_title WHERE T2.song = 'Little Wonders'
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE current (
  ballotpedia_id text,
  bioguide_id text PRIMARY KEY,
  birthday_bio date,
  cspan_id real PRIMARY KEY,
  fec_id text,
  first_name text,
  gender_bio text,
  google_entity_id_id text,
  govtrack_id integer,
  house_history_id real,
  icpsr_id real,
  last_name text,
  lis_id text,
  maplight_id real,
  middle_name text,
  nickname_name text,
  official_full_name text,
  opensecrets_id text,
  religion_bio text,
  suffix_name text,
  thomas_id integer,
  votesmart_id real,
  wikidata_id text,
  wikipedia_id text
);
CREATE TABLE current-terms (
  address text,
  bioguide text PRIMARY KEY,
  caucus text,
  chamber text,
  class real,
  contact_form text,
  district real,
  end text PRIMARY KEY,
  fax text,
  last text,
  name text,
  office text,
  party text,
  party_affiliations text,
  phone text,
  relation text,
  rss_url text,
  start text,
  state text,
  state_rank text,
  title text,
  type text,
  url text
);
CREATE TABLE historical (
  ballotpedia_id text,
  bioguide_id text PRIMARY KEY,
  bioguide_previous_id text,
  birthday_bio text,
  cspan_id text,
  fec_id text,
  first_name text,
  gender_bio text,
  google_entity_id_id text,
  govtrack_id integer,
  house_history_alternate_id text,
  house_history_id real,
  icpsr_id real,
  last_name text,
  lis_id text,
  maplight_id text,
  middle_name text,
  nickname_name text,
  official_full_name text,
  opensecrets_id text,
  religion_bio text,
  suffix_name text,
  thomas_id text,
  votesmart_id text,
  wikidata_id text,
  wikipedia_id text
);
CREATE TABLE historical-terms (
  address text,
  bioguide text PRIMARY KEY,
  chamber text,
  class real,
  contact_form text,
  district real,
  end text,
  fax text,
  last text,
  middle text,
  name text,
  office text,
  party text,
  party_affiliations text,
  phone text,
  relation text,
  rss_url text,
  start text,
  state text,
  state_rank text,
  title text,
  type text,
  url text
);
CREATE TABLE social-media (
  bioguide text PRIMARY KEY,
  facebook text,
  facebook_id real,
  govtrack real,
  instagram text,
  instagram_id real,
  thomas integer,
  twitter text,
  twitter_id real,
  youtube text,
  youtube_id text
);
-- foreign keys: current-terms.bioguide -> current.bioguide_id; historical-terms.bioguide -> historical.bioguide_id; social-media.bioguide -> current.bioguide_id

Hint: female refers to gender_bio = 'F'; percentage = MULTIPLY(DIVIDE(SUM(type = 'sen'), COUNT(type)), 100.0); senators refers to type = 'sen'; Maine refers to state = 'ME';

Question: Among the female legislators, what is the percentage of the senators in Maine?

assistant: SELECT CAST(SUM(CASE WHEN T2.type = 'sen' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.type) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'ME' AND T1.gender_bio = 'F'
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE Demog (
  GEOID integer PRIMARY KEY,
  INHABITANTS_K real,
  INCOME_K real,
  A_VAR1 real,
  A_VAR2 real,
  A_VAR3 real,
  A_VAR4 real,
  A_VAR5 real,
  A_VAR6 real,
  A_VAR7 real,
  A_VAR8 real,
  A_VAR9 real,
  A_VAR10 real,
  A_VAR11 real,
  A_VAR12 real,
  A_VAR13 real,
  A_VAR14 real,
  A_VAR15 real,
  A_VAR16 real,
  A_VAR17 real,
  A_VAR18 real
);
CREATE TABLE mailings3 (
  REFID integer PRIMARY KEY,
  REF_DATE datetime,
  RESPONSE text
);
CREATE TABLE Customers (
  ID integer PRIMARY KEY,
  SEX text,
  MARITAL_STATUS text,
  GEOID integer,
  EDUCATIONNUM integer,
  OCCUPATION text,
  age integer
);
CREATE TABLE Mailings1_2 (
  REFID integer PRIMARY KEY,
  REF_DATE datetime,
  RESPONSE text
);
CREATE TABLE Sales (
  EVENTID integer PRIMARY KEY,
  REFID integer,
  EVENT_DATE datetime,
  AMOUNT real
);

Hint: teenager is a person aged between 13 and 19 years;

Question: Among all the customers, how many of them are teenagers?

assistant: SELECT COUNT(ID) FROM Customers WHERE age >= 13 AND age <= 19
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
PRAGMA foreign_keys = ON;

CREATE TABLE "county" (
"County_Id" int,
"County_name" text,
"Population" real,
"Zip_code" text,
PRIMARY KEY ("County_Id")
);

Question: Which county has the largest population? Give me the name of the county.

assistant: SELECT County_name FROM county ORDER BY Population DESC LIMIT 1
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE address_status (
  status_id integer PRIMARY KEY,
  address_status text
);
CREATE TABLE author (
  author_id integer PRIMARY KEY,
  author_name text
);
CREATE TABLE book_language (
  language_id integer PRIMARY KEY,
  language_code text,
  language_name text
);
CREATE TABLE country (
  country_id integer PRIMARY KEY,
  country_name text
);
CREATE TABLE address (
  address_id integer PRIMARY KEY,
  street_number text,
  street_name text,
  city text,
  country_id integer
);
CREATE TABLE customer (
  customer_id integer PRIMARY KEY,
  first_name text,
  last_name text,
  email text
);
CREATE TABLE customer_address (
  customer_id integer PRIMARY KEY,
  address_id integer PRIMARY KEY,
  status_id integer
);
CREATE TABLE order_status (
  status_id integer PRIMARY KEY,
  status_value text
);
CREATE TABLE publisher (
  publisher_id integer PRIMARY KEY,
  publisher_name text
);
CREATE TABLE book (
  book_id integer PRIMARY KEY,
  title text,
  isbn13 text,
  language_id integer,
  num_pages integer,
  publication_date date,
  publisher_id integer
);
CREATE TABLE book_author (
  book_id integer PRIMARY KEY,
  author_id integer PRIMARY KEY
);
CREATE TABLE shipping_method (
  method_id integer PRIMARY KEY,
  method_name text,
  cost real
);
CREATE TABLE cust_order (
  order_id integer PRIMARY KEY,
  order_date datetime,
  customer_id integer,
  shipping_method_id integer,
  dest_address_id integer
);
CREATE TABLE order_history (
  history_id integer PRIMARY KEY,
  order_id integer,
  status_id integer,
  status_date datetime
);
CREATE TABLE order_line (
  line_id integer PRIMARY KEY,
  order_id integer,
  book_id integer,
  price real
);
-- foreign keys: address.country_id -> country.country_id; customer_address.customer_id -> customer.customer_id; customer_address.address_id -> address.address_id; book.publisher_id -> publisher.publisher_id; book.language_id -> book_language.language_id; book_author.book_id -> book.book_id; book_author.author_id -> author.author_id

Hint: published in 2004 refers to publication_date LIKE '2004%'; books with number of pages greater than 70% of the average number of pages refers to num_pages > Multiply(Avg(num_pages), 0.7); name of publisher refers to publisher_name

Question: Among the books published in 2004, list the name of the publisher of books with number of pages greater than 70% of the average number of pages of all books.

assistant: SELECT T1.title, T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE STRFTIME('%Y', T1.publication_date) = '2004' AND T1.num_pages * 100 > ( SELECT AVG(num_pages) FROM book ) * 70
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE state (
  StateCode text PRIMARY KEY,
  State text,
  Region text
);
CREATE TABLE callcenterlogs (
  Date received date,
  Complaint ID text PRIMARY KEY,
  rand client text,
  phonefinal text,
  vru+line text,
  call_id integer,
  priority integer,
  type text,
  outcome text,
  server text,
  ser_start text,
  ser_exit text,
  ser_time text
);
CREATE TABLE client (
  client_id text PRIMARY KEY,
  sex text,
  day integer,
  month integer,
  year integer,
  age integer,
  social text,
  first text,
  middle text,
  last text,
  phone text,
  email text,
  address_1 text,
  address_2 text,
  city text,
  state text,
  zipcode integer,
  district_id integer
);
CREATE TABLE district (
  district_id integer PRIMARY KEY,
  city text,
  state_abbrev text,
  division text
);
CREATE TABLE events (
  Date received date,
  Product text,
  Sub-product text,
  Issue text,
  Sub-issue text,
  Consumer complaint narrative text,
  Tags text,
  Consumer consent provided? text,
  Submitted via text,
  Date sent to company text,
  Company response to consumer text,
  Timely response? text,
  Consumer disputed? text,
  Complaint ID text PRIMARY KEY,
  Client_ID text PRIMARY KEY
);
CREATE TABLE reviews (
  Date date PRIMARY KEY,
  Stars integer,
  Reviews text,
  Product text,
  district_id integer
);
-- foreign keys: callcenterlogs.rand client -> client.client_id; client.district_id -> district.district_id; district.state_abbrev -> state.StateCode; events.Client_ID -> client.client_id; events.Complaint ID -> callcenterlogs.Complaint ID; reviews.district_id -> district.district_id

Question: Which division is Diesel Galloway in?

assistant: SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.first = 'Diesel' AND T1.last = 'Galloway'
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
PRAGMA foreign_keys = ON;

CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(20),
`product_price` DECIMAL(19,4),
`product_description` VARCHAR(255)
);

Question: Find the ids of orders whose status is 'Success'.

assistant: SELECT actual_order_id FROM actual_orders WHERE order_status_code = 'Success'
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE film_text (
  film_id integer PRIMARY KEY,
  title text,
  description text
);
CREATE TABLE actor (
  actor_id integer PRIMARY KEY,
  first_name text,
  last_name text,
  last_update datetime
);
CREATE TABLE address (
  address_id integer PRIMARY KEY,
  address text,
  address2 text,
  district text,
  city_id integer,
  postal_code text,
  phone text,
  last_update datetime
);
CREATE TABLE category (
  category_id integer PRIMARY KEY,
  name text,
  last_update datetime
);
CREATE TABLE city (
  city_id integer PRIMARY KEY,
  city text,
  country_id integer,
  last_update datetime
);
CREATE TABLE country (
  country_id integer PRIMARY KEY,
  country text,
  last_update datetime
);
CREATE TABLE customer (
  customer_id integer PRIMARY KEY,
  store_id integer,
  first_name text,
  last_name text,
  email text,
  address_id integer,
  active integer,
  create_date datetime,
  last_update datetime
);
CREATE TABLE film (
  film_id integer PRIMARY KEY,
  title text,
  description text,
  release_year text,
  language_id integer,
  original_language_id integer,
  rental_duration integer,
  rental_rate real,
  length integer,
  replacement_cost real,
  rating text,
  special_features text,
  last_update datetime
);
CREATE TABLE film_actor (
  actor_id integer PRIMARY KEY,
  film_id integer PRIMARY KEY,
  last_update datetime
);
CREATE TABLE film_category (
  film_id integer PRIMARY KEY,
  category_id integer PRIMARY KEY,
  last_update datetime
);
CREATE TABLE inventory (
  inventory_id integer PRIMARY KEY,
  film_id integer,
  store_id integer,
  last_update datetime
);
CREATE TABLE language (
  language_id integer PRIMARY KEY,
  name text,
  last_update datetime
);
CREATE TABLE payment (
  payment_id integer PRIMARY KEY,
  customer_id integer,
  staff_id integer,
  rental_id integer,
  amount real,
  payment_date datetime,
  last_update datetime
);
CREATE TABLE rental (
  rental_id integer PRIMARY KEY,
  rental_date datetime,
  inventory_id integer,
  customer_id integer,
  return_date datetime,
  staff_id integer,
  last_update datetime
);
CREATE TABLE staff (
  staff_id integer PRIMARY KEY,
  first_name text,
  last_name text,
  address_id integer,
  picture blob,
  email text,
  store_id integer,
  active integer,
  username text,
  password text,
  last_update datetime
);
CREATE TABLE store (
  store_id integer PRIMARY KEY,
  manager_staff_id integer,
  address_id integer,
  last_update datetime
);

Hint: animation film refers to category.name = 'animation'; for adults only means rating = 'NC-17'

Question: How many animation film titles are rated for adults only?

assistant: SELECT COUNT(T1.title) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'animation' AND T1.rating = 'NC-17'
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
PRAGMA foreign_keys=OFF;
BEGIN TRANSACTION;
CREATE TABLE all_star (
    player_id TEXT,
    year INTEGER,
    game_num INTEGER,
    game_id TEXT,
    team_id TEXT,
    league_id TEXT,
    gp NUMERIC,
    starting_pos NUMERIC,
    foreign key (player_id) references player(player_id)
);

Question: What is the average height of the players from the college named 'Yale University'?

assistant: SELECT avg(T1.height) FROM player AS T1 JOIN player_college AS T2 ON T1.player_id = T2.player_id JOIN college AS T3 ON T3.college_id = T2.college_id WHERE T3.name_full = 'Yale University';