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 essays (
  projectid text,
  teacher_acctid text,
  title text,
  short_description text,
  need_statement text,
  essay text
);
CREATE TABLE projects (
  projectid text PRIMARY KEY,
  teacher_acctid text,
  schoolid text,
  school_ncesid text,
  school_latitude real,
  school_longitude real,
  school_city text,
  school_state text,
  school_zip integer,
  school_metro text,
  school_district text,
  school_county text,
  school_charter text,
  school_magnet text,
  school_year_round text,
  school_nlns text,
  school_kipp text,
  school_charter_ready_promise text,
  teacher_prefix text,
  teacher_teach_for_america text,
  teacher_ny_teaching_fellow text,
  primary_focus_subject text,
  primary_focus_area text,
  secondary_focus_subject text,
  secondary_focus_area text,
  resource_type text,
  poverty_level text,
  grade_level text,
  fulfillment_labor_materials real,
  total_price_excluding_optional_support real,
  total_price_including_optional_support real,
  students_reached integer,
  eligible_double_your_impact_match text,
  eligible_almost_home_match text,
  date_posted date
);
CREATE TABLE donations (
  donationid text PRIMARY KEY,
  projectid text,
  donor_acctid text,
  donor_city text,
  donor_state text,
  donor_zip text,
  is_teacher_acct text,
  donation_timestamp datetime,
  donation_to_project real,
  donation_optional_support real,
  donation_total real,
  dollar_amount text,
  donation_included_optional_support text,
  payment_method text,
  payment_included_acct_credit text,
  payment_included_campaign_gift_card text,
  payment_included_web_purchased_gift_card text,
  payment_was_promo_matched text,
  via_giving_page text,
  for_honoree text,
  donation_message text
);
CREATE TABLE resources (
  resourceid text PRIMARY KEY,
  projectid text,
  vendorid integer,
  vendor_name text,
  project_resource_type text,
  item_name text,
  item_number text,
  item_unit_price real,
  item_quantity integer
);
-- foreign keys: donations.projectid -> projects.projectid; resources.projectid -> projects.projectid

Hint: with an optional support refers to donation_included_optional_support = 't'; reach more than 300 students refers to students_reached>300

Question: What is the total sum of the donations paid with an optional support in projects that reach more than 300 students?

assistant: SELECT SUM(T2.dollar_amount) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.students_reached > 300 AND t2.donation_included_optional_support = 't'
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 "region" (
"Region_ID" int,
"Region_name" text,
"Date" text,
"Label" text,
"Format" text,
"Catalogue" text,
PRIMARY KEY ("Region_ID")
);

Question: What is the name of member in charge of greatest number of events?

assistant: SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_id GROUP BY T2.member_in_charge_id 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:
PRAGMA foreign_keys = ON;

CREATE TABLE "manufacturer" (
    "Manufacturer_ID" int,
    "Open_Year" real,
    "Name" text,
    "Num_of_Factories" int,
    "Num_of_Shops" int,
    PRIMARY KEY ("Manufacturer_ID")
);

Question: Find the component amounts and names of all furnitures that have more than 10 components.

assistant: SELECT Num_of_Component , name FROM furniture WHERE Num_of_Component > 10
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 Attributes (
  attribute_id integer PRIMARY KEY,
  attribute_name text
);
CREATE TABLE Categories (
  category_id integer PRIMARY KEY,
  category_name text
);
CREATE TABLE Compliments (
  compliment_id integer PRIMARY KEY,
  compliment_type text
);
CREATE TABLE Days (
  day_id integer PRIMARY KEY,
  day_of_week text
);
CREATE TABLE Years (
  year_id integer PRIMARY KEY,
  actual_year integer
);
CREATE TABLE Business_Attributes (
  attribute_id integer PRIMARY KEY,
  business_id integer PRIMARY KEY,
  attribute_value text
);
CREATE TABLE Business_Categories (
  business_id integer PRIMARY KEY,
  category_id integer PRIMARY KEY
);
CREATE TABLE Business_Hours (
  business_id integer PRIMARY KEY,
  day_id integer PRIMARY KEY,
  opening_time text,
  closing_time text
);
CREATE TABLE Checkins (
  business_id integer PRIMARY KEY,
  day_id integer PRIMARY KEY,
  label_time_0 text,
  label_time_1 text,
  label_time_2 text,
  label_time_3 text,
  label_time_4 text,
  label_time_5 text,
  label_time_6 text,
  label_time_7 text,
  label_time_8 text,
  label_time_9 text,
  label_time_10 text,
  label_time_11 text,
  label_time_12 text,
  label_time_13 text,
  label_time_14 text,
  label_time_15 text,
  label_time_16 text,
  label_time_17 text,
  label_time_18 text,
  label_time_19 text,
  label_time_20 text,
  label_time_21 text,
  label_time_22 text,
  label_time_23 text
);
CREATE TABLE Elite (
  user_id integer PRIMARY KEY,
  year_id integer PRIMARY KEY
);
CREATE TABLE Reviews (
  business_id integer PRIMARY KEY,
  user_id integer PRIMARY KEY,
  review_stars integer,
  review_votes_funny text,
  review_votes_useful text,
  review_votes_cool text,
  review_length text
);
CREATE TABLE Tips (
  business_id integer PRIMARY KEY,
  user_id integer PRIMARY KEY,
  likes integer,
  tip_length text
);
CREATE TABLE Users_Compliments (
  compliment_id integer PRIMARY KEY,
  user_id integer PRIMARY KEY,
  number_of_compliments text
);
CREATE TABLE Business (
  business_id integer PRIMARY KEY,
  active text,
  city text,
  state text,
  stars real,
  review_count text
);
CREATE TABLE Users (
  user_id integer PRIMARY KEY,
  user_yelping_since_year integer,
  user_average_stars text,
  user_votes_funny text,
  user_votes_useful text,
  user_votes_cool text,
  user_review_count text,
  user_fans text
);

Hint: close after 8PM refers to closing_time = '9PM' or closing_time = '10PM' closing_time = '11PM' closing_time = '12PM'; Mondays refers to day_of_week = 'Monday'

Question: How many Yelp_Business close after 8PM on Mondays?

assistant: SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Monday' AND T1.closing_time > '8PM'
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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
);

Question: Show the membership level with most number of members.

assistant: SELECT LEVEL FROM member GROUP BY LEVEL 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 "grapes" ( 
	"ID" INTEGER PRIMARY KEY, 
	"Grape" TEXT UNIQUE, 
	"Color" TEXT 
);

CREATE TABLE "appellations" ( 
	"No" INTEGER PRIMARY KEY, 
	"Appelation" TEXT UNIQUE, 
	"County" TEXT, 
	"State" TEXT, 
	"Area" TEXT, 
	"isAVA" TEXT
);

CREATE TABLE "wine" ( 
	"No" INTEGER, 
	"Grape" TEXT, 
	"Winery" TEXT, 
	"Appelation" TEXT, 
	"State" TEXT, 
	"Name" TEXT, 
	"Year" INTEGER, 
	"Price" INTEGER, 
	"Score" INTEGER, 
	"Cases" INTEGER, 
	"Drink" TEXT,
	FOREIGN KEY (Grape) REFERENCES grapes(Grape),
	FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
);

Question: Give the average price and case of wines made from Zinfandel grapes in the year 2009.

assistant: SELECT AVG(Price) , AVG(Cases) FROM WINE WHERE YEAR = 2009 AND Grape = "Zinfandel"
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 Person (
  name varchar(20) PRIMARY KEY,
  age INTEGER,
  city TEXT,
  gender TEXT,
  job TEXT
);

CREATE TABLE PersonFriend (
  name varchar(20),
  friend varchar(20),
  year INTEGER,
  FOREIGN KEY (name) REFERENCES Person(name),
  FOREIGN KEY (friend) REFERENCES Person(name)
);

Question: Who is the oldest person whose job is student?

assistant: SELECT name FROM Person WHERE job = 'student' AND age = (SELECT max(age) FROM person WHERE job = 'student' )
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 cites (
  cited_paper_id text PRIMARY KEY,
  citing_paper_id text PRIMARY KEY
);
CREATE TABLE paper (
  paper_id text PRIMARY KEY,
  class_label text
);
CREATE TABLE content (
  paper_id text PRIMARY KEY,
  word_cited_id text PRIMARY KEY
);
-- foreign keys: content.paper_id -> paper.paper_id

Hint: class type refers to class_label; count(word_cited_id)>20

Question: List all paper ID and its class type with more than 20 cited words.

assistant: SELECT DISTINCT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id GROUP BY T2.paper_id, T1.class_label HAVING COUNT(T2.word_cited_id) > 20
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 Categories (
  CategoryID integer PRIMARY KEY,
  CategoryName text,
  Description text
);
CREATE TABLE Customers (
  CustomerID integer PRIMARY KEY,
  CustomerName text,
  ContactName text,
  Address text,
  City text,
  PostalCode text,
  Country text
);
CREATE TABLE Employees (
  EmployeeID integer PRIMARY KEY,
  LastName text,
  FirstName text,
  BirthDate date,
  Photo text,
  Notes text
);
CREATE TABLE Shippers (
  ShipperID integer PRIMARY KEY,
  ShipperName text,
  Phone text
);
CREATE TABLE Suppliers (
  SupplierID integer PRIMARY KEY,
  SupplierName text,
  ContactName text,
  Address text,
  City text,
  PostalCode text,
  Country text,
  Phone text
);
CREATE TABLE Products (
  ProductID integer PRIMARY KEY,
  ProductName text,
  SupplierID integer,
  CategoryID integer,
  Unit text,
  Price real
);
CREATE TABLE Orders (
  OrderID integer PRIMARY KEY,
  CustomerID integer,
  EmployeeID integer,
  OrderDate datetime,
  ShipperID integer
);
CREATE TABLE OrderDetails (
  OrderDetailID integer PRIMARY KEY,
  OrderID integer,
  ProductID integer,
  Quantity integer
);
-- foreign keys: Products.SupplierID -> Suppliers.SupplierID; Products.CategoryID -> Categories.CategoryID; Orders.ShipperID -> Shippers.ShipperID; Orders.CustomerID -> Customers.CustomerID; Orders.EmployeeID -> Employees.EmployeeID; OrderDetails.ProductID -> Products.ProductID; OrderDetails.OrderID -> Orders.OrderID

Hint: most common product refers to max(count(ProductID)); customer from Germany refers to Country = 'Germany'

Question: What is the most common product ordered by a customer from Germany?

assistant: SELECT T2.ProductID FROM Customers AS T1 INNER JOIN `Order Details` AS T2 WHERE T1.Country = 'Germany' GROUP BY T2.ProductID ORDER BY COUNT(T2.ProductID) 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:
PRAGMA foreign_keys = ON;

CREATE TABLE "mountain" (
"Mountain_ID" int,
"Name" text,
"Height" real,
"Prominence" real,
"Range" text,
"Country" text,
PRIMARY KEY ("Mountain_ID")
);

CREATE TABLE "climber" (
"Climber_ID" int,
"Name" text,
"Country" text,
"Time" text,
"Points" real,
"Mountain_ID" int,
PRIMARY KEY ("Climber_ID"),
FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID")
);

Question: How many climbers are there?

assistant: SELECT count(*) FROM climber
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: created between 2018-08-22T11:53:16-07:00 and 2018-11-20T11:14:20-07:00 refers to created at BETWEEN '2018-08-22T11:53:16-07:00' and '2018-11-20T11:14:20-07:00'

Question: What are the titles of the podcasts whose reviews were created between 2018-08-22T11:53:16-07:00 and 2018-11-20T11:14:20-07:00?

assistant: SELECT DISTINCT T1.title FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.created_at BETWEEN '2018-08-22T11:53:16-07:00' AND '2018-11-20T11:14:20-07:00'
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: 'Horror' is a name of a category; average rental payment refers to AVG(amount)

Question: What is the average rental payment in Horror movies?

assistant: SELECT AVG(T5.amount) FROM category AS T1 INNER JOIN film_category AS T2 ON T1.category_id = T2.category_id INNER JOIN inventory AS T3 ON T2.film_id = T3.film_id INNER JOIN rental AS T4 ON T3.inventory_id = T4.inventory_id INNER JOIN payment AS T5 ON T4.rental_id = T5.rental_id WHERE T1.name = 'Horror'
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 "city" (
"City_ID" int,
"Official_Name" text,
"Status" text,
"Area_km_2" real,
"Population" real,
"Census_Ranking" text,
PRIMARY KEY ("City_ID")
);

CREATE TABLE "farm" (
"Farm_ID" int,
"Year" int,
"Total_Horses" real,
"Working_Horses" real,
"Total_Cattle" real,
"Oxen" real,
"Bulls" real,
"Cows" real,
"Pigs" real,
"Sheep_and_Goats" real,
PRIMARY KEY ("Farm_ID")
);

CREATE TABLE "farm_competition" (
"Competition_ID" int,
"Year" int,
"Theme" text,
"Host_city_ID" int,
"Hosts" text,
PRIMARY KEY ("Competition_ID"),
FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`)
);


CREATE TABLE "competition_record" (
"Competition_ID" int,
"Farm_ID" int,
"Rank" int,
PRIMARY KEY ("Competition_ID","Farm_ID"),
FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`),
FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`)
);

Question: List the official name and status of the city with the largest population.

assistant: SELECT Official_Name , Status FROM city 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 course (
  course_id integer PRIMARY KEY,
  name text,
  credit integer,
  diff integer
);
CREATE TABLE prof (
  prof_id integer PRIMARY KEY,
  gender text,
  first_name text,
  last_name text,
  email text,
  popularity integer,
  teachingability integer,
  graduate_from text
);
CREATE TABLE RA (
  student_id integer PRIMARY KEY,
  capability integer,
  prof_id integer PRIMARY KEY,
  salary text
);
CREATE TABLE registration (
  course_id integer PRIMARY KEY,
  student_id integer PRIMARY KEY,
  grade text,
  sat integer
);
CREATE TABLE student (
  student_id integer PRIMARY KEY,
  f_name text,
  l_name text,
  phone_number text,
  email text,
  intelligence integer,
  gpa real,
  type text
);
-- foreign keys: RA.student_id -> student.student_id; RA.prof_id -> prof.prof_id; registration.student_id -> student.student_id; registration.course_id -> course.course_id

Hint: research assistant refers to the student who serves for research where the abbreviation is RA; full name refers to f_name and l_name;

Question: Which professor advised Faina Mallinar to become a research assistant? Please give his or her full name.

assistant: SELECT T1.first_name, T1.last_name FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T3.f_name = 'Faina' AND T3.l_name = 'Mallinar'
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: Sherrod Brown is an official_full_name

Question: What is the google entity ID of current legislator Sherrod Brown?

assistant: SELECT google_entity_id_id FROM current WHERE official_full_name = 'Sherrod Brown'