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 Community_Area (
  community_area_no integer PRIMARY KEY,
  community_area_name text,
  side text,
  population text
);
CREATE TABLE District (
  district_no integer PRIMARY KEY,
  district_name text,
  address text,
  zip_code integer,
  commander text,
  email text,
  phone text,
  fax text,
  tty text,
  twitter text
);
CREATE TABLE FBI_Code (
  fbi_code_no text PRIMARY KEY,
  title text,
  description text,
  crime_against text
);
CREATE TABLE IUCR (
  iucr_no text PRIMARY KEY,
  primary_description text,
  secondary_description text,
  index_code text
);
CREATE TABLE Neighborhood (
  neighborhood_name text PRIMARY KEY,
  community_area_no integer
);
CREATE TABLE Ward (
  ward_no integer PRIMARY KEY,
  alderman_first_name text,
  alderman_last_name text,
  alderman_name_suffix text,
  ward_office_address text,
  ward_office_zip text,
  ward_email text,
  ward_office_phone text,
  ward_office_fax text,
  city_hall_office_room integer,
  city_hall_office_phone text,
  city_hall_office_fax text,
  Population integer
);
CREATE TABLE Crime (
  report_no integer PRIMARY KEY,
  case_number text,
  date text,
  block text,
  iucr_no text,
  location_description text,
  arrest text,
  domestic text,
  beat integer,
  district_no integer,
  ward_no integer,
  community_area_no integer,
  fbi_code_no text,
  latitude text,
  longitude text
);
-- foreign keys: Neighborhood.community_area_no -> Community_Area.community_area_no; Crime.fbi_code_no -> FBI_Code.fbi_code_no; Crime.community_area_no -> Community_Area.community_area_no; Crime.district_no -> District.district_no; Crime.iucr_no -> IUCR.iucr_no; Crime.ward_no -> Ward.ward_no

Hint: "SOLICIT FOR PROSTITUTE" is the secondary_description; more than average refers to count(iucr_no) > Divide (Count(secondary_description = 'SOLICIT FOR PROSTITUTE'), Count(iucr_no)); name of community refers to community_area_name

Question: List the name and population of the communities where more than average solicit for prostitutes were reported.

assistant: SELECT T2.community_area_name, T2.population FROM Crime AS T1 INNER JOIN Community_Area AS T2 ON T2.community_area_no = T1.community_area_no INNER JOIN IUCR AS T3 ON T3.iucr_no = T1.iucr_no WHERE T3.iucr_no = ( SELECT iucr_no FROM IUCR WHERE secondary_description = 'SOLICIT FOR PROSTITUTE' GROUP BY iucr_no HAVING COUNT(iucr_no) > ( SELECT SUM(CASE WHEN secondary_description = 'SOLICIT FOR PROSTITUTE' THEN 1.0 ELSE 0 END) / COUNT(iucr_no) AS average FROM IUCR ) )
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: transaction ratio = DIVIDE(SUM(TransactionID WHERE LocationName = 'Sac State American River Courtyard'), SUM(TransactionID WHERE LocationName = 'Sac State Union')); Sac State American River Courtyard refers to LocationName = 'Sac State American River Courtyard'; Sac State Union refers to LocationName = 'Sac State Union';

Question: What is the transaction ratio being made at Sac State American River Courtyard and Sac State Union?

assistant: SELECT CAST(COUNT(CASE WHEN T2.LocationName = 'Sac State American River Courtyard' THEN T1.TransactionID ELSE NULL END) AS REAL) * 100 / COUNT(CASE WHEN T2.LocationName = 'Sac State Union' THEN T1.TransactionID ELSE NULL END) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID
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 Episode (
  episode_id text PRIMARY KEY,
  series text,
  season integer,
  episode integer,
  number_in_series integer,
  title text,
  summary text,
  air_date date,
  episode_image text,
  rating real,
  votes integer
);
CREATE TABLE Keyword (
  episode_id text PRIMARY KEY,
  keyword text PRIMARY KEY
);
CREATE TABLE Person (
  person_id text PRIMARY KEY,
  name text,
  birthdate date,
  birth_name text,
  birth_place text,
  birth_region text,
  birth_country text,
  height_meters real,
  nickname text
);
CREATE TABLE Award (
  award_id integer PRIMARY KEY,
  organization text,
  year integer,
  award_category text,
  award text,
  series text,
  episode_id text,
  person_id text,
  role text,
  result text
);
CREATE TABLE Credit (
  episode_id text PRIMARY KEY,
  person_id text PRIMARY KEY,
  category text,
  role text,
  credited text
);
CREATE TABLE Vote (
  episode_id text,
  stars integer,
  votes integer,
  percent real
);
-- foreign keys: Keyword.episode_id -> Episode.episode_id; Award.person_id -> Person.person_id; Award.episode_id -> Episode.episode_id; Credit.person_id -> Person.person_id; Credit.episode_id -> Episode.episode_id; Vote.episode_id -> Episode.episode_id

Hint: have not been credited refers to credited = ''

Question: What roles have not been credited at the end of the episodes?

assistant: SELECT DISTINCT role FROM Credit WHERE credited = 'false'
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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
);

CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
);

Question: List all ship names in the order of built year and class.

assistant: SELECT name FROM ship ORDER BY built_year , CLASS
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 course (
  course_id integer PRIMARY KEY,
  courseLevel text
);
CREATE TABLE person (
  p_id integer PRIMARY KEY,
  professor integer,
  student integer,
  hasPosition text,
  inPhase text,
  yearsInProgram text
);
CREATE TABLE advisedBy (
  p_id integer PRIMARY KEY,
  p_id_dummy integer PRIMARY KEY
);
CREATE TABLE taughtBy (
  course_id integer PRIMARY KEY,
  p_id integer PRIMARY KEY
);
-- foreign keys: advisedBy.p_id -> person.p_id; advisedBy.p_id_dummy -> person.p_id; taughtBy.course_id -> course.course_id; taughtBy.p_id -> person.p_id

Hint: students refers to advisedBy.p_id; advisor refers to p_id_dummy; average number = avg(count(advisedBy.p_id))

Question: What is the average number of students for each advisor?

assistant: SELECT CAST(COUNT(p_id) AS REAL) / COUNT(DISTINCT p_id_dummy) AS avgnum FROM advisedBy GROUP BY p_id_dummy
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:
-- dbext:type=SQLITE:dbname=movie_rating.db

/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;

/* Create the schema for our tables */
create table Movie(
	mID int primary key, 
	title text, 
	year int, 
	director text
);
create table Reviewer(
	rID int primary key, 
	name text);

create table Rating(
	rID int, 
	mID int, 
	stars int, 
	ratingDate date,
	FOREIGN KEY (mID) references Movie(mID),
	FOREIGN KEY (rID) references Reviewer(rID)
);

/* Populate the tables with our data */

Question: Find the average rating star for each movie that are not reviewed by Brittany Harris.

assistant: SELECT mID , avg(stars) FROM Rating WHERE mID NOT IN (SELECT T1.mID FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T2.name = "Brittany Harris") GROUP BY mID
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 height_info (
  height_id integer PRIMARY KEY,
  height_in_cm integer,
  height_in_inch text
);
CREATE TABLE weight_info (
  weight_id integer PRIMARY KEY,
  weight_in_kg integer,
  weight_in_lbs integer
);
CREATE TABLE PlayerInfo (
  ELITEID integer PRIMARY KEY,
  PlayerName text,
  birthdate text,
  birthyear date,
  birthmonth integer,
  birthday integer,
  birthplace text,
  nation text,
  height integer,
  weight integer,
  position_info text,
  shoots text,
  draftyear integer,
  draftround integer,
  overall integer,
  overallby text,
  CSS_rank integer,
  sum_7yr_GP integer,
  sum_7yr_TOI integer,
  GP_greater_than_0 text
);
CREATE TABLE SeasonStatus (
  ELITEID integer,
  SEASON text,
  TEAM text,
  LEAGUE text,
  GAMETYPE text,
  GP integer,
  G integer,
  A integer,
  P integer,
  PIM integer,
  PLUSMINUS integer
);
-- foreign keys: PlayerInfo.weight -> weight_info.weight_id; PlayerInfo.height -> height_info.height_id; SeasonStatus.ELITEID -> PlayerInfo.ELITEID

Hint: players refers to PlayerName; height refers to height_in_cm;

Question: Identify the players with the same height as Brian Gionta. How tall are they?

assistant: SELECT T2.PlayerName, T1.height_in_cm FROM height_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.height_id = T2.height WHERE T2.height = ( SELECT height FROM PlayerInfo WHERE PlayerName = 'Brian Gionta' )
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 users (
  userid integer PRIMARY KEY,
  age text,
  u_gender text,
  occupation text
);
CREATE TABLE directors (
  directorid integer PRIMARY KEY,
  d_quality integer,
  avg_revenue integer
);
CREATE TABLE actors (
  actorid integer PRIMARY KEY,
  a_gender text,
  a_quality integer
);
CREATE TABLE movies (
  movieid integer PRIMARY KEY,
  year integer,
  isEnglish text,
  country text,
  runningtime integer
);
CREATE TABLE movies2actors (
  movieid integer PRIMARY KEY,
  actorid integer PRIMARY KEY,
  cast_num integer
);
CREATE TABLE movies2directors (
  movieid integer PRIMARY KEY,
  directorid integer PRIMARY KEY,
  genre text
);
CREATE TABLE u2base (
  userid integer PRIMARY KEY,
  movieid integer PRIMARY KEY,
  rating text
);

Hint: d_quality = 5 refers to direct the best, d_quality = 0 refers to direct the worst

Question: Among the films directed by directors who direct the best, how many of them have an average rating of over 3.5?

assistant: SELECT COUNT(*) FROM ( SELECT DISTINCT T2.movieid FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid INNER JOIN u2base AS T3 ON T2.movieid = T3.movieid WHERE T1.d_quality = 5 GROUP BY T2.movieid HAVING AVG(T3.rating) > 3.5 ) AS T1
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 Student (
        StuID        INTEGER PRIMARY KEY,
        LName        VARCHAR(12),
        Fname        VARCHAR(12),
        Age      INTEGER,
        Sex      VARCHAR(1),
        Major        INTEGER,
        Advisor      INTEGER,
        city_code    VARCHAR(3)
 );
 

create table Dorm (
       dormid		INTEGER,
       dorm_name	VARCHAR(20),
       student_capacity	INTEGER,
       gender			VARCHAR(1)
) ;

create table Dorm_amenity (
       amenid			INTEGER,
       amenity_name		VARCHAR(25)
) ;

create table Has_amenity (
       dormid			INTEGER,
       amenid				INTEGER,
	FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid),
	FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid)
);

create table Lives_in (
       stuid 	      INTEGER,
       dormid		INTEGER,
       room_number	INTEGER,
	FOREIGN KEY (stuid) REFERENCES `Student`(StuID),
        FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid)
);

Question: Find the number of students whose age is older than the average age for each gender.

assistant: SELECT count(*) , sex FROM student WHERE age > (SELECT avg(age) FROM student) GROUP BY sex
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 Ref_Document_Types (
document_type_code CHAR(15) NOT NULL,
document_type_description VARCHAR(255) NOT NULL,
PRIMARY KEY (document_type_code)
);

Question: Which employee has showed up in most circulation history documents. List the employee's name and the number of drafts and copies.

assistant: SELECT Employees.employee_name , count(*) FROM Employees JOIN Circulation_History ON Circulation_History.employee_id = Employees.employee_id GROUP BY Circulation_History.document_id , Circulation_History.draft_number , Circulation_History.copy_number ORDER BY count(*) 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 runs (
  run_at text,
  max_rowid integer,
  reviews_added integer
);
CREATE TABLE podcasts (
  podcast_id text PRIMARY KEY,
  itunes_id integer,
  slug text,
  itunes_url text,
  title text
);
CREATE TABLE reviews (
  podcast_id text,
  title text,
  content text,
  rating integer,
  author_id text,
  created_at text
);
CREATE TABLE categories (
  podcast_id text PRIMARY KEY,
  category text PRIMARY KEY
);

Hint: "Stuff You Should Know" is the title of podcast; earliest refers to Min(created_at)

Question: What is the content of the earliest review for the "Stuff You Should Know" podcast?

assistant: SELECT T2.content FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Stuff You Should Know' ORDER BY T2.created_at ASC 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 course (
  course_id integer PRIMARY KEY,
  courseLevel text
);
CREATE TABLE person (
  p_id integer PRIMARY KEY,
  professor integer,
  student integer,
  hasPosition text,
  inPhase text,
  yearsInProgram text
);
CREATE TABLE advisedBy (
  p_id integer PRIMARY KEY,
  p_id_dummy integer PRIMARY KEY
);
CREATE TABLE taughtBy (
  course_id integer PRIMARY KEY,
  p_id integer PRIMARY KEY
);
-- foreign keys: advisedBy.p_id -> person.p_id; advisedBy.p_id_dummy -> person.p_id; taughtBy.course_id -> course.course_id; taughtBy.p_id -> person.p_id

Hint: high-level undergraduate course refers to courseLevel = 'Level_400'; percentage = divide(count(course.course_id) when courseLevel = 'Level_400', count(course.course_id)) * 100%

Question: Calculate the percentage of high-level undergraduate course.

assistant: SELECT CAST(SUM(CASE WHEN courseLevel = 'Level_400' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) AS per FROM course
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 station (
  id integer PRIMARY KEY,
  name text,
  lat real,
  long real,
  dock_count integer,
  city text,
  installation_date text
);
CREATE TABLE status (
  station_id integer,
  bikes_available integer,
  docks_available integer,
  time text
);
CREATE TABLE trip (
  id integer PRIMARY KEY,
  duration integer,
  start_date text,
  start_station_name text,
  start_station_id integer,
  end_date text,
  end_station_name text,
  end_station_id integer,
  bike_id integer,
  subscription_type text,
  zip_code integer
);
CREATE TABLE weather (
  date text,
  max_temperature_f integer,
  mean_temperature_f integer,
  min_temperature_f integer,
  max_dew_point_f integer,
  mean_dew_point_f integer,
  min_dew_point_f integer,
  max_humidity integer,
  mean_humidity integer,
  min_humidity integer,
  max_sea_level_pressure_inches real,
  mean_sea_level_pressure_inches real,
  min_sea_level_pressure_inches real,
  max_visibility_miles integer,
  mean_visibility_miles integer,
  min_visibility_miles integer,
  max_wind_Speed_mph integer,
  mean_wind_speed_mph integer,
  max_gust_speed_mph integer,
  precipitation_inches text,
  cloud_cover integer,
  events text,
  wind_dir_degrees integer,
  zip_code text
);

Hint: started at refers to start_station_name; start_station_name = 'South Van Ness at Market'; average duration = DIVIDE(SUM(duration), COUNT(duration));

Question: Please calculate the average duration of trips started at South Van Ness at Market in 2015.

assistant: SELECT AVG(duration) FROM trip WHERE start_date LIKE '%2015%' AND start_station_name = 'South Van Ness at Market'
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: male refers to gender_bio = 'M'; female refers to gender_bio = 'F'; calculation = DIVIDE(COUNT(gender_bio = 'M' THEN bioguide_id), COUNT(gender_bio = 'F' THEN bioguide_id))

Question: What is the ratio of males and females among historical legislators?

assistant: SELECT CAST(SUM(CASE WHEN gender_bio = 'M' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN gender_bio = 'F' THEN 1 ELSE 0 END) FROM historical