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 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: opening hours before 7AM refer to opening_time < '7AM'; businesses refer to business_id;

Question: Which businesses with the category name Accessories have opening hours before 7AM?

assistant: SELECT T1.business_id FROM Business_Hours AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Accessories' AND SUBSTR(T1.opening_time, -4, 2) * 1 < 7 AND T1.opening_time LIKE '%AM'
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 IF NOT EXISTS "player" (
"Player_ID" int,
"Sponsor_name" text,
"Player_name" text,
"Gender" text,
"Residence" text,
"Occupation" text,
"Votes" int,
"Rank" text,
PRIMARY KEY ("Player_ID")
);

Question: Show different occupations along with the number of players in each occupation.

assistant: SELECT Occupation , COUNT(*) FROM player GROUP BY Occupation
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: DIVIDE(COUNT(business_id where category_name = 'Food' and opening_time = '7AM' and closing_time = '8PM'), COUNT(business_id where opening_time = '7AM' and closing_time = '8PM')) as percentage;

Question: Calculate the percentage of businesses with the category name food that are open from 7AM to 8PM in the businesses with the same time.

assistant: SELECT CAST(SUM(CASE WHEN T3.category_name = 'Food' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.category_name) FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_id
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 Author (
  Id integer PRIMARY KEY,
  Name text,
  Affiliation text
);
CREATE TABLE Conference (
  Id integer PRIMARY KEY,
  ShortName text,
  FullName text,
  HomePage text
);
CREATE TABLE Journal (
  Id integer PRIMARY KEY,
  ShortName text,
  FullName text,
  HomePage text
);
CREATE TABLE Paper (
  Id integer PRIMARY KEY,
  Title text,
  Year integer,
  ConferenceId integer,
  JournalId integer,
  Keyword text
);
CREATE TABLE PaperAuthor (
  PaperId integer,
  AuthorId integer,
  Name text,
  Affiliation text
);
-- foreign keys: Paper.JournalId -> Journal.Id; Paper.ConferenceId -> Conference.Id; PaperAuthor.AuthorId -> Author.Id; PaperAuthor.PaperId -> Paper.Id

Hint: paper "Hypermethylation of the <I>TPEF/HPP1</I> Gene in Primary and Metastatic Colorectal Cancers" refers to Title = 'Hypermethylation of the <I>TPEF/HPP1</I> Gene in Primary and Metastatic Colorectal Cancers'

Question: Please list the names of the authors of the paper "Hypermethylation of the <I>TPEF/HPP1</I> Gene in Primary and Metastatic Colorectal Cancers".

assistant: SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Hypermethylation of the <I>TPEF/HPP1</I> Gene in Primary and Metastatic Colorectal Cancers'
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 Classification (
  GeneID text PRIMARY KEY,
  Localization text
);
CREATE TABLE Genes (
  GeneID text,
  Essential text,
  Class text,
  Complex text,
  Phenotype text,
  Motif text,
  Chromosome integer,
  Function text,
  Localization text
);
CREATE TABLE Interactions (
  GeneID1 text PRIMARY KEY,
  GeneID2 text PRIMARY KEY,
  Type text,
  Expression_Corr real
);
-- foreign keys: Genes.GeneID -> Classification.GeneID; Interactions.GeneID2 -> Classification.GeneID; Interactions.GeneID1 -> Classification.GeneID

Hint: If the Expression_Corr value is negative then it's negatively correlated. Percentage of Negative Correlation = count(negative Expression_Corr physical type) / count(Expression_Corr physical type) * 100%

Question: What kind of expression correlation occurs in physical type interacting gene pairs and what percentage of these are negatively correlated?

assistant: SELECT Expression_Corr FROM Interactions WHERE Type = 'Physical' UNION ALL SELECT CAST(SUM(Expression_Corr < 0) AS REAL) * 100 / COUNT(*) FROM Interactions WHERE Type = 'Physical'
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 City (
  ID integer PRIMARY KEY,
  Name text,
  CountryCode text,
  District text,
  Population integer
);
CREATE TABLE Country (
  Code text PRIMARY KEY,
  Name text,
  Continent text,
  Region text,
  SurfaceArea real,
  IndepYear integer,
  Population integer,
  LifeExpectancy real,
  GNP real,
  GNPOld real,
  LocalName text,
  GovernmentForm text,
  HeadOfState text,
  Capital integer,
  Code2 text
);
CREATE TABLE CountryLanguage (
  CountryCode text PRIMARY KEY,
  Language text PRIMARY KEY,
  IsOfficial text,
  Percentage real
);
-- foreign keys: City.CountryCode -> Country.Code; CountryLanguage.CountryCode -> Country.Code

Hint: population below 8000 refers to Population < 8000;

Question: List down the languages of the countries that have population below 8000.

assistant: SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Population < 8000
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: "76092025986" is the isbn13

Question: Provide the publisher name of the book with ISBN 76092025986.

assistant: SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.isbn13 = 76092025986
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 CBSA (
  CBSA integer PRIMARY KEY,
  CBSA_name text,
  CBSA_type text
);
CREATE TABLE state (
  abbreviation text PRIMARY KEY,
  name text
);
CREATE TABLE congress (
  cognress_rep_id text PRIMARY KEY,
  first_name text,
  last_name text,
  CID text,
  party text,
  state text,
  abbreviation text,
  House text,
  District integer,
  land_area real
);
CREATE TABLE zip_data (
  zip_code integer PRIMARY KEY,
  city text,
  state text,
  multi_county text,
  type text,
  organization text,
  time_zone text,
  daylight_savings text,
  latitude real,
  longitude real,
  elevation integer,
  state_fips integer,
  county_fips integer,
  region text,
  division text,
  population_2020 integer,
  population_2010 integer,
  households integer,
  avg_house_value integer,
  avg_income_per_household integer,
  persons_per_household real,
  white_population integer,
  black_population integer,
  hispanic_population integer,
  asian_population integer,
  american_indian_population integer,
  hawaiian_population integer,
  other_population integer,
  male_population integer,
  female_population integer,
  median_age real,
  male_median_age real,
  female_median_age real,
  residential_mailboxes integer,
  business_mailboxes integer,
  total_delivery_receptacles integer,
  businesses integer,
  1st_quarter_payroll integer,
  annual_payroll integer,
  employees integer,
  water_area real,
  land_area real,
  single_family_delivery_units integer,
  multi_family_delivery_units integer,
  total_beneficiaries integer,
  retired_workers integer,
  disabled_workers integer,
  parents_and_widowed integer,
  spouses integer,
  children integer,
  over_65 integer,
  monthly_benefits_all integer,
  monthly_benefits_retired_workers integer,
  monthly_benefits_widowed integer,
  CBSA integer
);
CREATE TABLE alias (
  zip_code integer PRIMARY KEY,
  alias text
);
CREATE TABLE area_code (
  zip_code integer PRIMARY KEY,
  area_code integer PRIMARY KEY
);
CREATE TABLE avoid (
  zip_code integer PRIMARY KEY,
  bad_alias text PRIMARY KEY
);
CREATE TABLE country (
  zip_code integer PRIMARY KEY,
  county text PRIMARY KEY,
  state text
);
CREATE TABLE zip_congress (
  zip_code integer PRIMARY KEY,
  district text PRIMARY KEY
);
-- foreign keys: congress.abbreviation -> state.abbreviation; zip_data.CBSA -> CBSA.CBSA; zip_data.state -> state.abbreviation; alias.zip_code -> zip_data.zip_code; area_code.zip_code -> zip_data.zip_code; avoid.zip_code -> zip_data.zip_code; country.state -> state.abbreviation; country.zip_code -> zip_data.zip_code; zip_congress.zip_code -> zip_data.zip_code; zip_congress.district -> congress.cognress_rep_id

Hint: city with most elders refers to Max(over_65)

Question: For the city with the most elders, what's its area code?

assistant: SELECT T2.area_code FROM zip_data AS T1 INNER JOIN area_code AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.area_code ORDER BY T1.over_65 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 employee (
  employee_id integer PRIMARY KEY,
  first_name text,
  last_name text,
  address text,
  city text,
  state text,
  zip integer,
  phone text,
  title text,
  salary integer,
  supervisor integer
);
CREATE TABLE establishment (
  license_no integer PRIMARY KEY,
  dba_name text,
  aka_name text,
  facility_type text,
  risk_level integer,
  address text,
  city text,
  state text,
  zip integer,
  latitude real,
  longitude real,
  ward integer
);
CREATE TABLE inspection (
  inspection_id integer PRIMARY KEY,
  inspection_date date,
  inspection_type text,
  results text,
  employee_id integer,
  license_no integer,
  followup_to integer
);
CREATE TABLE inspection_point (
  point_id integer PRIMARY KEY,
  Description text,
  category text,
  code text,
  fine integer,
  point_level text
);
CREATE TABLE violation (
  inspection_id integer PRIMARY KEY,
  point_id integer PRIMARY KEY,
  fine integer,
  inspector_comment text
);
-- foreign keys: employee.supervisor -> employee.employee_id; inspection.followup_to -> inspection.inspection_id; inspection.license_no -> establishment.license_no; inspection.employee_id -> employee.employee_id; violation.point_id -> inspection_point.point_id; violation.inspection_id -> inspection.inspection_id

Hint: John Schaller refers to dba_name = 'JOHN SCHALLER'; first inspection refers to min(inspection_date); in 2010 refers to inspection_date like '2010%'

Question: When did restaurant John Schaller has its first inspection in 2010?

assistant: SELECT MIN(T2.inspection_date) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'JOHN SCHALLER' AND strftime('%Y', T2.inspection_date) = '2010'
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: short tips refers to tip_length = 'short'; most number of short tips refers to MAX(COUNT(tip_length = 'short')); category refers to category_name;

Question: For the Yelp business which had the most number of "short" tips, which category does it belong to?

assistant: SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Tips AS T4 ON T3.business_id = T4.business_id WHERE T4.tip_length LIKE 'short'
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,
  FirstName text,
  MiddleInitial text,
  LastName text
);
CREATE TABLE Employees (
  EmployeeID integer PRIMARY KEY,
  FirstName text,
  MiddleInitial text,
  LastName text
);
CREATE TABLE Products (
  ProductID integer PRIMARY KEY,
  Name text,
  Price real
);
CREATE TABLE Sales (
  SalesID integer PRIMARY KEY,
  SalesPersonID integer,
  CustomerID integer,
  ProductID integer,
  Quantity integer
);
-- foreign keys: Sales.ProductID -> Products.ProductID; Sales.CustomerID -> Customers.CustomerID; Sales.SalesPersonID -> Employees.EmployeeID

Hint: below the average quantity refers to Quantity < AVG(Quantity);

Question: Find and list the products that sold below the average quantity.

assistant: SELECT DISTINCT T2.Name FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Quantity < ( SELECT AVG(Quantity) FROM Sales )
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 "mission" (
"Mission_ID" int,
"Ship_ID" int,
"Code" text,
"Launched_Year" int,
"Location" text,
"Speed_knots" int,
"Fate" text,
PRIMARY KEY ("Mission_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES `ship`("Ship_ID")
);

CREATE TABLE "ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Nationality" text,
"Tonnage" int,
PRIMARY KEY ("Ship_ID")
);

Question: Show the types of ships that have both ships with tonnage larger than 6000 and ships with tonnage smaller than 4000.

assistant: SELECT TYPE FROM ship WHERE Tonnage > 6000 INTERSECT SELECT TYPE FROM ship WHERE Tonnage < 4000
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 "mission" (
"Mission_ID" int,
"Ship_ID" int,
"Code" text,
"Launched_Year" int,
"Location" text,
"Speed_knots" int,
"Fate" text,
PRIMARY KEY ("Mission_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES `ship`("Ship_ID")
);

CREATE TABLE "ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Nationality" text,
"Tonnage" int,
PRIMARY KEY ("Ship_ID")
);

Question: What are the different fates of the mission that involved ships from the United States?

assistant: SELECT DISTINCT T1.Fate FROM mission AS T1 JOIN ship AS T2 ON T1.Ship_ID = T2.Ship_ID WHERE T2.Nationality = "United States"