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 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: female customers within the number of inhabitants range of 20 to 25 refer to SEX = 'Female' where INHABITANTS_K BETWEEN 20 AND 25;

Question: What is the occupation and response of female customers within the number of inhabitants range of 20 to 25?

assistant: SELECT DISTINCT T1.OCCUPATION, T2.RESPONSE FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.SEX = 'Female' AND T3.INHABITANTS_K >= 20 AND T3.INHABITANTS_K <= 25
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

Question: List down product ids that were purchased by customers called Abby.

assistant: SELECT DISTINCT T1.ProductID FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.FirstName = 'Abby'
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_Address_Types` (
`address_type_code` VARCHAR(15) PRIMARY KEY,
`address_type_description` VARCHAR(80)
);
CREATE TABLE `Ref_Detention_Type` (
`detention_type_code` VARCHAR(10) PRIMARY KEY,
`detention_type_description` VARCHAR(80)
);
CREATE TABLE `Ref_Incident_Type` (
`incident_type_code` VARCHAR(10) PRIMARY KEY,
`incident_type_description` VARCHAR(80)
);

Question: What are the id and zip code of the address with the highest monthly rental?

assistant: SELECT T2.address_id , T1.zip_postcode FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id ORDER BY monthly_rental 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:
-- phpMyAdmin SQL Dump
-- version 4.0.10.7
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Mar 20, 2015 at 01:43 AM
-- Server version: 5.5.34-cll-lve
-- PHP Version: 5.4.23



/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
CREATE TABLE IF NOT EXISTS `regions` (
  `REGION_ID` decimal(5,0) NOT NULL,
  `REGION_NAME` varchar(25) DEFAULT NULL,
  PRIMARY KEY (`REGION_ID`)
);

--
-- Dumping data for table `regions`
--

Question: What are the full names and salaries for any employees earning less than 6000?

assistant: SELECT first_name , last_name , salary FROM employees WHERE salary < 6000
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_Characteristic_Types` (
`characteristic_type_code` VARCHAR(15) PRIMARY KEY,
`characteristic_type_description` VARCHAR(80)
);
CREATE TABLE `Ref_Colors` (
`color_code` VARCHAR(15) PRIMARY KEY,
`color_description` VARCHAR(80)
);
CREATE TABLE `Ref_Product_Categories` (
`product_category_code` VARCHAR(15) PRIMARY KEY,
`product_category_description` VARCHAR(80),
`unit_of_measure` VARCHAR(20)
);

Question: Find the number of the products that have their color described as "red" and have a characteristic named "slow".

assistant: SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "red" AND t3.characteristic_name = "slow"
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: Who are the ministers, when did they take office, and when did they leave office, ordered by when they left office?

assistant: SELECT minister , took_office , left_office FROM party ORDER BY left_office
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 coins (
  id integer PRIMARY KEY,
  name text,
  slug text,
  symbol text,
  status text,
  category text,
  description text,
  subreddit text,
  notice text,
  tags text,
  tag_names text,
  website text,
  platform_id integer,
  date_added text,
  date_launched text
);
CREATE TABLE historical (
  date date,
  coin_id integer,
  cmc_rank integer,
  market_cap real,
  price real,
  open real,
  high real,
  low real,
  close real,
  time_high text,
  time_low text,
  volume_24h real,
  percent_change_1h real,
  percent_change_24h real,
  percent_change_7d real,
  circulating_supply real,
  total_supply real,
  max_supply real,
  num_market_pairs integer
);

Hint: price increased refers to percent_change_7d>0; decreased refers percent_change_7d<0; on 2013/5/5 refers to date = '2013-05-05'

Question: Had Bitcoin's price increased or decreased on 2013/5/5 compared with the price 7 days before?

assistant: SELECT (CASE WHEN T2.percent_change_7d > 0 THEN 'INCREASED' ELSE 'DECREASED' END) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-05-05' AND T1.name = 'Bitcoin'
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

Question: How many cities does congressman Pierluisi Pedro represent?

assistant: SELECT COUNT(DISTINCT T1.city) FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Pierluisi' AND T3.last_name = 'Pedro'
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_Hotel_Star_Ratings (
star_rating_code CHAR(15) NOT NULL,
star_rating_description VARCHAR(80),
PRIMARY KEY (star_rating_code),
UNIQUE (star_rating_code)
);


CREATE TABLE Locations (
Location_ID INTEGER NOT NULL,
Location_Name VARCHAR(255),
Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Location_ID)
);

Question: Find the visit date and details of the tourist whose detail is 'Vincent'

assistant: SELECT T2.Visit_Date , T2.Visit_Details FROM VISITORS AS T1 JOIN VISITS AS T2 ON T1.Tourist_ID = T2.Tourist_ID WHERE T1.Tourist_Details = "Vincent"
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 "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
);

CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
);

CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
);

Question: What products are sold at the store named Miramichi?

assistant: SELECT t1.product FROM product AS t1 JOIN store_product AS t2 ON t1.product_id = t2.product_id JOIN store AS t3 ON t2.store_id = t3.store_id WHERE t3.store_name = "Miramichi"
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: with affiliation refers to Affiliation is not Null; without affiliation refers to Affiliation IS NULL; Ration = Count(Id(Affiliation is NOT NULL)) : Count (Id (Affiliation IS NULL))

Question: What is the ratio of author with affiliation and without affiliation?

assistant: SELECT CAST(SUM(CASE WHEN Affiliation IS NULL THEN 1 ELSE 0 END) AS REAL) / COUNT(*) FROM Author
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: films performed refers to film

Question: Distinguish the films performed by Judy Dean according to category.

assistant: SELECT T5.name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN film_category AS T4 ON T2.film_id = T4.film_id INNER JOIN category AS T5 ON T4.category_id = T5.category_id WHERE T1.first_name = 'Judy' AND T1.last_name = 'Dean'
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 refers to opening_time; business number refers to business_id; Friday refers to day_of_week = 'Friday';

Question: What are the opening hours of business number 53 on Friday?

assistant: SELECT T1.closing_time - T1.opening_time AS "opening hours" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Friday' AND T1.business_id = 53
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 country (
  country_id integer PRIMARY KEY,
  country_iso_code text,
  country_name text
);
CREATE TABLE department (
  department_id integer PRIMARY KEY,
  department_name text
);
CREATE TABLE gender (
  gender_id integer PRIMARY KEY,
  gender text
);
CREATE TABLE genre (
  genre_id integer PRIMARY KEY,
  genre_name text
);
CREATE TABLE keyword (
  keyword_id integer PRIMARY KEY,
  keyword_name text
);
CREATE TABLE language (
  language_id integer PRIMARY KEY,
  language_code text,
  language_name text
);
CREATE TABLE language_role (
  role_id integer PRIMARY KEY,
  language_role text
);
CREATE TABLE movie (
  movie_id integer PRIMARY KEY,
  title text,
  budget integer,
  homepage text,
  overview text,
  popularity real,
  release_date date,
  revenue integer,
  runtime integer,
  movie_status text,
  tagline text,
  vote_average real,
  vote_count integer
);
CREATE TABLE movie_genres (
  movie_id integer,
  genre_id integer
);
CREATE TABLE movie_languages (
  movie_id integer,
  language_id integer,
  language_role_id integer
);
CREATE TABLE person (
  person_id integer PRIMARY KEY,
  person_name text
);
CREATE TABLE movie_crew (
  movie_id integer,
  person_id integer,
  department_id integer,
  job text
);
CREATE TABLE production_company (
  company_id integer PRIMARY KEY,
  company_name text
);
CREATE TABLE production_country (
  movie_id integer,
  country_id integer
);
CREATE TABLE movie_cast (
  movie_id integer,
  person_id integer,
  character_name text,
  gender_id integer,
  cast_order integer
);
CREATE TABLE movie_keywords (
  movie_id integer,
  keyword_id integer
);
CREATE TABLE movie_company (
  movie_id integer,
  company_id integer
);
-- foreign keys: movie_genres.movie_id -> movie.movie_id; movie_genres.genre_id -> genre.genre_id; movie_languages.language_role_id -> language_role.role_id; movie_languages.movie_id -> movie.movie_id; movie_languages.language_id -> language.language_id; movie_crew.person_id -> person.person_id; movie_crew.movie_id -> movie.movie_id; movie_crew.department_id -> department.department_id; production_country.movie_id -> movie.movie_id; production_country.country_id -> country.country_id; movie_cast.person_id -> person.person_id; movie_cast.movie_id -> movie.movie_id; movie_cast.gender_id -> gender.gender_id

Hint: department refers to department_name; most people refers to max(count(department_id))

Question: Which department has the most people?

assistant: SELECT T1.department_name FROM department AS T1 INNER JOIN movie_crew AS T2 ON T1.department_id = T2.department_id GROUP BY T1.department_id ORDER BY COUNT(T2.department_id) 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 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: "Decreased Saliva Secretion and Down-Regulation of AQP5 in Submandibular Gland in Irradiated Rats" is the Title of paper

Question: Write down the author name, affiliation, jounal short name and full name of the paper "Decreased Saliva Secretion and Down-Regulation of AQP5 in Submandibular Gland in Irradiated Rats".

assistant: SELECT T2.Name, T2.Affiliation, T3.ShortName, T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Title = 'Decreased Saliva Secretion and Down-Regulation of AQP5 in Submandibular Gland in Irradiated Rats'