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 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: International shipping order refers to method_name = 'International'; orders on 2022/11/10 refers to order_date LIKE '2022-11-10%'; percentage = Divide (Sum(order_id  where method_name = 'International'), Count(order_id)) * 100

Question: Calculate the percentage of the International shipping orders on 2022/11/10.

assistant: SELECT CAST(SUM(CASE WHEN T1.method_name = 'International' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM shipping_method AS T1 INNER JOIN cust_order AS T2 ON T1.method_id = T2.shipping_method_id WHERE T2.order_date LIKE '2022-11-10%'
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:
PRAGMA foreign_keys = ON;
CREATE TABLE `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
);

Question: What is the oldest log id and its corresponding problem id?

assistant: SELECT problem_log_id , problem_id FROM problem_log ORDER BY log_entry_date 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:
-- drop table flight cascade constraints;
-- drop table aircraft cascade constraints;
-- drop table employee cascade constraints;
-- drop table certificate cascade constraints;

create table flight(
	flno number(4,0) primary key,
	origin varchar2(20),
	destination varchar2(20),
	distance number(6,0),
	departure_date date,
	arrival_date date,
	price number(7,2),
    aid number(9,0),
    foreign key("aid") references `aircraft`("aid"));

create table aircraft(
	aid number(9,0) primary key,
	name varchar2(30),
	distance number(6,0));

create table employee(
	eid number(9,0) primary key,
	name varchar2(30),
	salary number(10,2));

create table certificate(
	eid number(9,0),
	aid number(9,0),
	primary key(eid,aid),
	foreign key("eid") references `employee`("eid"),
	foreign key("aid") references `aircraft`("aid"));

Question: What are the departure and arrival dates of all flights from LA to Honolulu?

assistant: SELECT departure_date , arrival_date FROM Flight WHERE origin = "Los Angeles" AND destination = "Honolulu"
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: high compliments refers to number_of_compliments = 'High'; type in photo refers to compliment_ID = 1

Question: How many users received high compliment type in photo?

assistant: SELECT COUNT(T1.user_id) FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.number_of_compliments LIKE 'High' AND T2.compliment_id = 1
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

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

Hint: order returned refers to status_value = 'Returned'

Question: How many orders did Antonia Poltun return?

assistant: SELECT COUNT(*) FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T1.status_value = 'Returned' AND T4.first_name = 'Antonia' AND T4.last_name = 'Poltun'
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,
  city_name text
);
CREATE TABLE games (
  id integer PRIMARY KEY,
  games_year integer,
  games_name text,
  season text
);
CREATE TABLE games_city (
  games_id integer,
  city_id integer
);
CREATE TABLE medal (
  id integer PRIMARY KEY,
  medal_name text
);
CREATE TABLE noc_region (
  id integer PRIMARY KEY,
  noc text,
  region_name text
);
CREATE TABLE person (
  id integer PRIMARY KEY,
  full_name text,
  gender text,
  height integer,
  weight integer
);
CREATE TABLE games_competitor (
  id integer PRIMARY KEY,
  games_id integer,
  person_id integer,
  age integer
);
CREATE TABLE person_region (
  person_id integer,
  region_id integer
);
CREATE TABLE sport (
  id integer PRIMARY KEY,
  sport_name text
);
CREATE TABLE event (
  id integer PRIMARY KEY,
  sport_id integer,
  event_name text
);
CREATE TABLE competitor_event (
  event_id integer,
  competitor_id integer,
  medal_id integer
);
-- foreign keys: games_city.games_id -> games.id; games_city.city_id -> city.id; games_competitor.person_id -> person.id; games_competitor.games_id -> games.id; person_region.region_id -> noc_region.id; person_region.person_id -> person.id; event.sport_id -> sport.id; competitor_event.medal_id -> medal.id; competitor_event.event_id -> event.id; competitor_event.competitor_id -> games_competitor.id

Question: How many competitor ids does Martina Kohlov have?

assistant: SELECT COUNT(T2.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Martina Kohlov'
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: keywords refers to keyword_name; movie 'Sky Captain and the World of Tomorrow' refers to title = 'Sky Captain and the World of Tomorrow'

Question: Write all the keywords belonging to the movie 'Sky Captain and the World of Tomorrow.'

assistant: SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T1.title = 'Sky Captain and the World of Tomorrow'
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: Worst actresses means a_quality is the least; The least a_quality is 0

Question: Among the worst actresses, how many of them got a rating of more than 3 to the movies they starred?

assistant: SELECT COUNT(T1.userid) FROM u2base AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid INNER JOIN users AS T4 ON T1.userid = T4.userid WHERE T3.a_quality = 0 AND T1.rating > 3 AND T4.u_gender = 'F'
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE genre (
  id integer PRIMARY KEY,
  genre_name text
);
CREATE TABLE game (
  id integer PRIMARY KEY,
  genre_id integer,
  game_name text
);
CREATE TABLE platform (
  id integer PRIMARY KEY,
  platform_name text
);
CREATE TABLE publisher (
  id integer PRIMARY KEY,
  publisher_name text
);
CREATE TABLE game_publisher (
  id integer PRIMARY KEY,
  game_id integer,
  publisher_id integer
);
CREATE TABLE game_platform (
  id integer PRIMARY KEY,
  game_publisher_id integer,
  platform_id integer,
  release_year integer
);
CREATE TABLE region (
  id integer PRIMARY KEY,
  region_name text
);
CREATE TABLE region_sales (
  region_id integer,
  game_platform_id integer,
  num_sales real
);
-- foreign keys: game.genre_id -> genre.id; game_publisher.publisher_id -> publisher.id; game_publisher.game_id -> game.id; game_platform.platform_id -> platform.id; game_platform.game_publisher_id -> game_publisher.id; region_sales.region_id -> region.id; region_sales.game_platform_id -> game_platform.id

Hint: Europe refers to region_name = 'Europe'; sales lesser than 30% of the average number of sales refers to SUM(num_sales) < MULTIPLY(AVG(num_sales), 0.3);

Question: Among games sold in Europe, list the platform ID of games with sales lesser than 30% of the average number of sales.

assistant: SELECT DISTINCT T3.platform_id FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id WHERE T1.region_name = 'Europe' AND T2.num_sales * 100 * 100000 < ( SELECT AVG(T2.num_sales * 100000) * 30 FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Europe' )
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: full name refers to official_full_name; senior refers to state_rank = 'senior'; senators refers to type = 'sen'; 2013 refers to start LIKE '2013%'

Question: List the full name of all the senior senators in year 2013.

assistant: SELECT T2.official_full_name FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.state_rank = 'senior' AND T1.type = 'sen' AND T1.start LIKE '2013%'
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 people (
  Customer ID text PRIMARY KEY,
  Customer Name text,
  Segment text,
  Country text,
  City text,
  State text,
  Postal Code integer,
  Region text PRIMARY KEY
);
CREATE TABLE product (
  Product ID text PRIMARY KEY,
  Product Name text,
  Category text,
  Sub-Category text,
  Region text PRIMARY KEY
);
CREATE TABLE central_superstore (
  Row ID integer PRIMARY KEY,
  Order ID text,
  Order Date date,
  Ship Date date,
  Ship Mode text,
  Customer ID text,
  Region text,
  Product ID text,
  Sales real,
  Quantity integer,
  Discount real,
  Profit real
);
CREATE TABLE east_superstore (
  Row ID integer PRIMARY KEY,
  Order ID text,
  Order Date date,
  Ship Date date,
  Ship Mode text,
  Customer ID text,
  Region text,
  Product ID text,
  Sales real,
  Quantity integer,
  Discount real,
  Profit real
);
CREATE TABLE south_superstore (
  Row ID integer PRIMARY KEY,
  Order ID text,
  Order Date date,
  Ship Date date,
  Ship Mode text,
  Customer ID text,
  Region text,
  Product ID text,
  Sales real,
  Quantity integer,
  Discount real,
  Profit real
);
CREATE TABLE west_superstore (
  Row ID integer PRIMARY KEY,
  Order ID text,
  Order Date date,
  Ship Date date,
  Ship Mode text,
  Customer ID text,
  Region text,
  Product ID text,
  Sales real,
  Quantity integer,
  Discount real,
  Profit real
);
-- foreign keys: central_superstore.Product ID -> product.Product ID; central_superstore.Region -> product.Region; central_superstore.Customer ID -> people.Customer ID; central_superstore.Region -> people.Region; east_superstore.Product ID -> product.Product ID; east_superstore.Region -> product.Region; east_superstore.Customer ID -> people.Customer ID; east_superstore.Region -> people.Region; south_superstore.Product ID -> product.Product ID; south_superstore.Region -> product.Region; south_superstore.Customer ID -> people.Customer ID; south_superstore.Region -> people.Region; west_superstore.Product ID -> product.Product ID; west_superstore.Region -> product.Region; west_superstore.Customer ID -> people.Customer ID; west_superstore.Region -> people.Region

Hint: highest profit refers to MAX(Profit)

Question: What product category got the highest profit in the south superstore?

assistant: SELECT T2.Category FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` ORDER BY T1.Profit DESC LIMIT 1