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 state (
  StateCode text PRIMARY KEY,
  State text,
  Region text
);
CREATE TABLE callcenterlogs (
  Date received date,
  Complaint ID text PRIMARY KEY,
  rand client text,
  phonefinal text,
  vru+line text,
  call_id integer,
  priority integer,
  type text,
  outcome text,
  server text,
  ser_start text,
  ser_exit text,
  ser_time text
);
CREATE TABLE client (
  client_id text PRIMARY KEY,
  sex text,
  day integer,
  month integer,
  year integer,
  age integer,
  social text,
  first text,
  middle text,
  last text,
  phone text,
  email text,
  address_1 text,
  address_2 text,
  city text,
  state text,
  zipcode integer,
  district_id integer
);
CREATE TABLE district (
  district_id integer PRIMARY KEY,
  city text,
  state_abbrev text,
  division text
);
CREATE TABLE events (
  Date received date,
  Product text,
  Sub-product text,
  Issue text,
  Sub-issue text,
  Consumer complaint narrative text,
  Tags text,
  Consumer consent provided? text,
  Submitted via text,
  Date sent to company text,
  Company response to consumer text,
  Timely response? text,
  Consumer disputed? text,
  Complaint ID text PRIMARY KEY,
  Client_ID text PRIMARY KEY
);
CREATE TABLE reviews (
  Date date PRIMARY KEY,
  Stars integer,
  Reviews text,
  Product text,
  district_id integer
);
-- foreign keys: callcenterlogs.rand client -> client.client_id; client.district_id -> district.district_id; district.state_abbrev -> state.StateCode; events.Client_ID -> client.client_id; events.Complaint ID -> callcenterlogs.Complaint ID; reviews.district_id -> district.district_id

Hint: how long refers to ser_time; credit card refers to Product = 'Credit Card';

Question: How long was Kendall Allen's complaint about her credit card?

assistant: SELECT T3.ser_time FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN callcenterlogs AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.first = 'Kendall' AND T2.last = 'Allen' AND T2.sex = 'Female' AND T1.Product = 'Credit card'
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

Hint: gold medals refer to medal_name = 'Gold';

Question: How many gold medals does Henk Jan Zwolle have?

assistant: SELECT COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T1.full_name = 'Henk Jan Zwolle' AND T4.medal_name = 'Gold'
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 "artist" (
    "Artist_ID" int,
    "Artist" text,
    "Age" int,
    "Famous_Title" text,
    "Famous_Release_date" text,
    PRIMARY KEY ("Artist_ID")
);



CREATE TABLE "volume" (
    "Volume_ID" int,
    "Volume_Issue" text,
    "Issue_Date" text,
    "Weeks_on_Top" real,
    "Song" text,
    "Artist_ID" int,
    PRIMARY KEY ("Volume_ID"),
    FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
);

Question: Please list the age and famous title of artists in descending order of age.

assistant: SELECT Famous_Title , Age FROM artist ORDER BY Age DESC
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 ATT_CLASSES (
  ATT_CLASS_ID integer PRIMARY KEY,
  ATT_CLASS text
);
CREATE TABLE OBJ_CLASSES (
  OBJ_CLASS_ID integer PRIMARY KEY,
  OBJ_CLASS text
);
CREATE TABLE IMG_OBJ (
  IMG_ID integer PRIMARY KEY,
  OBJ_SAMPLE_ID integer PRIMARY KEY,
  OBJ_CLASS_ID integer,
  X integer,
  Y integer,
  W integer,
  H integer
);
CREATE TABLE IMG_OBJ_ATT (
  IMG_ID integer PRIMARY KEY,
  ATT_CLASS_ID integer PRIMARY KEY,
  OBJ_SAMPLE_ID integer PRIMARY KEY
);
CREATE TABLE PRED_CLASSES (
  PRED_CLASS_ID integer PRIMARY KEY,
  PRED_CLASS text
);
CREATE TABLE IMG_REL (
  IMG_ID integer PRIMARY KEY,
  PRED_CLASS_ID integer PRIMARY KEY,
  OBJ1_SAMPLE_ID integer PRIMARY KEY,
  OBJ2_SAMPLE_ID integer PRIMARY KEY
);
-- foreign keys: IMG_OBJ.OBJ_CLASS_ID -> OBJ_CLASSES.OBJ_CLASS_ID; IMG_OBJ_ATT.IMG_ID -> IMG_OBJ.IMG_ID; IMG_OBJ_ATT.OBJ_SAMPLE_ID -> IMG_OBJ.OBJ_SAMPLE_ID; IMG_OBJ_ATT.ATT_CLASS_ID -> ATT_CLASSES.ATT_CLASS_ID; IMG_REL.IMG_ID -> IMG_OBJ.IMG_ID; IMG_REL.OBJ2_SAMPLE_ID -> IMG_OBJ.OBJ_SAMPLE_ID; IMG_REL.IMG_ID -> IMG_OBJ.IMG_ID; IMG_REL.OBJ1_SAMPLE_ID -> IMG_OBJ.OBJ_SAMPLE_ID; IMG_REL.PRED_CLASS_ID -> PRED_CLASSES.PRED_CLASS_ID

Hint: bounding box refers to (X, Y, W, H); onion refers to OBJ_CLASS = 'onion'; image no.285930 refers to IMG_ID = 285930

Question: Define the onion's bounding box on image no. 285930.

assistant: SELECT T1.X, T1.Y, T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 285930 AND T2.OBJ_CLASS = 'onion'
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE customers (
  CustomerID integer PRIMARY KEY,
  First text,
  Last text,
  StreetAddress text,
  City text,
  State text,
  ZipCode integer,
  Email text,
  PhoneNumber text,
  FirstPurchaseDate date,
  SubscribedToEmailList text,
  Gender text
);
CREATE TABLE geolocation (
  LocationID integer PRIMARY KEY,
  Latitude real,
  Longitude real
);
CREATE TABLE location (
  LocationID integer PRIMARY KEY,
  LocationName text,
  StreetAddress text,
  City text,
  State text,
  ZipCode integer
);
CREATE TABLE rootbeerbrand (
  BrandID integer PRIMARY KEY,
  BrandName text,
  FirstBrewedYear integer,
  BreweryName text,
  City text,
  State text,
  Country text,
  Description text,
  CaneSugar text,
  CornSyrup text,
  Honey text,
  ArtificialSweetener text,
  Caffeinated text,
  Alcoholic text,
  AvailableInCans text,
  AvailableInBottles text,
  AvailableInKegs text,
  Website text,
  FacebookPage text,
  Twitter text,
  WholesaleCost real,
  CurrentRetailPrice real
);
CREATE TABLE rootbeer (
  RootBeerID integer PRIMARY KEY,
  BrandID integer,
  ContainerType text,
  LocationID integer,
  PurchaseDate date
);
CREATE TABLE rootbeerreview (
  CustomerID integer PRIMARY KEY,
  BrandID integer PRIMARY KEY,
  StarRating integer,
  ReviewDate date,
  Review text
);
CREATE TABLE transaction (
  TransactionID integer PRIMARY KEY,
  CreditCardNumber integer,
  CustomerID integer,
  TransactionDate date,
  CreditCardType text,
  LocationID integer,
  RootBeerID integer,
  PurchasePrice real
);
-- foreign keys: geolocation.LocationID -> location.LocationID; location.LocationID -> geolocation.LocationID; rootbeer.BrandID -> rootbeerbrand.BrandID; rootbeer.LocationID -> location.LocationID; rootbeer.LocationID -> geolocation.LocationID; rootbeerreview.BrandID -> rootbeerbrand.BrandID; rootbeerreview.CustomerID -> customers.CustomerID; transaction.RootBeerID -> rootbeer.RootBeerID; transaction.LocationID -> location.LocationID; transaction.CustomerID -> customers.CustomerID

Hint: Sac State Union refers to LocationName = 'Sac State Union'; American Express credit card refers to CreditCardType = 'American Express'; in 2014 refers to TransactionDate LIKE '2014%';

Question: How many transactions were made in Sac State Union using the American Express credit card in 2014?

assistant: SELECT COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State Union' AND T1.CreditCardType = 'American Express' AND T1.TransactionDate BETWEEN '2014-01-01' AND '2014-12-31'
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
);

Question: What is the category of film titled "BLADE POLISH"?

assistant: SELECT T3.name FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T3.category_id = T2.category_id WHERE T1.title = 'BLADE POLISH'
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 (
  origin integer PRIMARY KEY,
  country text
);
CREATE TABLE price (
  ID integer PRIMARY KEY,
  price real
);
CREATE TABLE data (
  ID integer PRIMARY KEY,
  mpg real,
  cylinders integer,
  displacement real,
  horsepower integer,
  weight integer,
  acceleration real,
  model integer,
  car_name text
);
CREATE TABLE production (
  ID integer PRIMARY KEY,
  model_year integer PRIMARY KEY,
  country integer
);
-- foreign keys: data.ID -> price.ID; production.ID -> price.ID; production.ID -> data.ID; production.country -> country.origin

Hint: Chevrolet Vega 2300 refers to car_name = 'chevrolet vega 2300'

Question: What is the price of Chevrolet Vega 2300?

assistant: SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'chevrolet vega 2300'
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: "URB San Joaquin" is the bad_alias

Question: Please list the Asian populations of all the residential areas with the bad alias "URB San Joaquin".

assistant: SELECT SUM(T1.asian_population) FROM zip_data AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T2.bad_alias = 'URB San Joaquin'
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 Dish (
  id integer PRIMARY KEY,
  name text,
  description text,
  menus_appeared integer,
  times_appeared integer,
  first_appeared integer,
  last_appeared integer,
  lowest_price real,
  highest_price real
);
CREATE TABLE Menu (
  id integer PRIMARY KEY,
  name text,
  sponsor text,
  event text,
  venue text,
  place text,
  physical_description text,
  occasion text,
  notes text,
  call_number text,
  keywords text,
  language text,
  date date,
  location text,
  location_type text,
  currency text,
  currency_symbol text,
  status text,
  page_count integer,
  dish_count integer
);
CREATE TABLE MenuPage (
  id integer PRIMARY KEY,
  menu_id integer,
  page_number integer,
  image_id real,
  full_height integer,
  full_width integer,
  uuid text
);
CREATE TABLE MenuItem (
  id integer PRIMARY KEY,
  menu_page_id integer,
  price real,
  high_price real,
  dish_id integer,
  created_at text,
  updated_at text,
  xpos real,
  ypos real
);
-- foreign keys: MenuPage.menu_id -> Menu.id; MenuItem.menu_page_id -> MenuPage.id; MenuItem.dish_id -> Dish.id

Hint: page ID of 130 refers MenuPage.id = 130;

Question: What is the page count for menu with page ID of 130?

assistant: SELECT T1.page_count FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T2.id = 130
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 customer (
  c_custkey integer PRIMARY KEY,
  c_mktsegment text,
  c_nationkey integer,
  c_name text,
  c_address text,
  c_phone text,
  c_acctbal real,
  c_comment text
);
CREATE TABLE lineitem (
  l_shipdate date,
  l_orderkey integer PRIMARY KEY,
  l_discount real,
  l_extendedprice real,
  l_suppkey integer,
  l_quantity integer,
  l_returnflag text,
  l_partkey integer,
  l_linestatus text,
  l_tax real,
  l_commitdate date,
  l_receiptdate date,
  l_shipmode text,
  l_linenumber integer PRIMARY KEY,
  l_shipinstruct text,
  l_comment text
);
CREATE TABLE nation (
  n_nationkey integer PRIMARY KEY,
  n_name text,
  n_regionkey integer,
  n_comment text
);
CREATE TABLE orders (
  o_orderdate date,
  o_orderkey integer PRIMARY KEY,
  o_custkey integer,
  o_orderpriority text,
  o_shippriority integer,
  o_clerk text,
  o_orderstatus text,
  o_totalprice real,
  o_comment text
);
CREATE TABLE part (
  p_partkey integer PRIMARY KEY,
  p_type text,
  p_size integer,
  p_brand text,
  p_name text,
  p_container text,
  p_mfgr text,
  p_retailprice real,
  p_comment text
);
CREATE TABLE partsupp (
  ps_partkey integer PRIMARY KEY,
  ps_suppkey integer PRIMARY KEY,
  ps_supplycost real,
  ps_availqty integer,
  ps_comment text
);
CREATE TABLE region (
  r_regionkey integer PRIMARY KEY,
  r_name text,
  r_comment text
);
CREATE TABLE supplier (
  s_suppkey integer PRIMARY KEY,
  s_nationkey integer,
  s_comment text,
  s_name text,
  s_address text,
  s_phone text,
  s_acctbal real
);
-- foreign keys: customer.c_nationkey -> nation.n_nationkey; lineitem.l_partkey -> partsupp.ps_partkey; lineitem.l_suppkey -> partsupp.ps_suppkey; lineitem.l_orderkey -> orders.o_orderkey; nation.n_regionkey -> region.r_regionkey; orders.o_custkey -> customer.c_custkey; partsupp.ps_suppkey -> supplier.s_suppkey; partsupp.ps_partkey -> part.p_partkey; supplier.s_nationkey -> nation.n_nationkey

Hint: phone number of the customer refers to c_phone; the highest account balance refers to MAX(c_acctbal);

Question: Give the phone number of the customer with the highest account balance.

assistant: SELECT c_phone FROM customer ORDER BY c_acctbal 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: fine for a minor food safety problem refers to fine = 100; percentage = divide(count(inspection_id where fine = 100), sum(inspection_id)) * 100%

Question: Calculate the percentage of inspections with the fine for a minor food safety problem.

assistant: SELECT CAST(COUNT(CASE WHEN fine = 100 THEN inspection_id END) AS REAL) * 100 / COUNT(inspection_id) FROM violation