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:
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: Find products with max page size as "A4" or pages per minute color smaller than 5.

assistant: SELECT product FROM product WHERE max_page_size = "A4" OR pages_per_minute_color < 5
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE Categories (
  CategoryID integer PRIMARY KEY,
  CategoryName text,
  Description text
);
CREATE TABLE Customers (
  CustomerID integer PRIMARY KEY,
  CustomerName text,
  ContactName text,
  Address text,
  City text,
  PostalCode text,
  Country text
);
CREATE TABLE Employees (
  EmployeeID integer PRIMARY KEY,
  LastName text,
  FirstName text,
  BirthDate date,
  Photo text,
  Notes text
);
CREATE TABLE Shippers (
  ShipperID integer PRIMARY KEY,
  ShipperName text,
  Phone text
);
CREATE TABLE Suppliers (
  SupplierID integer PRIMARY KEY,
  SupplierName text,
  ContactName text,
  Address text,
  City text,
  PostalCode text,
  Country text,
  Phone text
);
CREATE TABLE Products (
  ProductID integer PRIMARY KEY,
  ProductName text,
  SupplierID integer,
  CategoryID integer,
  Unit text,
  Price real
);
CREATE TABLE Orders (
  OrderID integer PRIMARY KEY,
  CustomerID integer,
  EmployeeID integer,
  OrderDate datetime,
  ShipperID integer
);
CREATE TABLE OrderDetails (
  OrderDetailID integer PRIMARY KEY,
  OrderID integer,
  ProductID integer,
  Quantity integer
);
-- foreign keys: Products.SupplierID -> Suppliers.SupplierID; Products.CategoryID -> Categories.CategoryID; Orders.ShipperID -> Shippers.ShipperID; Orders.CustomerID -> Customers.CustomerID; Orders.EmployeeID -> Employees.EmployeeID; OrderDetails.ProductID -> Products.ProductID; OrderDetails.OrderID -> Orders.OrderID

Hint: year 1997 refers to year(OrderDate) = 1997; total amount of sales refers to (UnitPrice * Quantity)

Question: What is the total amount of sales made in the year 1997?

assistant: SELECT SUM(T2.UnitPrice * T2.Quantity * (1 - T2.Discount)) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID WHERE T1.OrderDate LIKE '1997%'
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: in 2004 refers to user_yelping_since_year = 2004; no follower refers to user_fans = 'None'

Question: How many users have no followers in 2014?

assistant: SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2004 AND user_fans LIKE 'None'
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 Community_Area (
  community_area_no integer PRIMARY KEY,
  community_area_name text,
  side text,
  population text
);
CREATE TABLE District (
  district_no integer PRIMARY KEY,
  district_name text,
  address text,
  zip_code integer,
  commander text,
  email text,
  phone text,
  fax text,
  tty text,
  twitter text
);
CREATE TABLE FBI_Code (
  fbi_code_no text PRIMARY KEY,
  title text,
  description text,
  crime_against text
);
CREATE TABLE IUCR (
  iucr_no text PRIMARY KEY,
  primary_description text,
  secondary_description text,
  index_code text
);
CREATE TABLE Neighborhood (
  neighborhood_name text PRIMARY KEY,
  community_area_no integer
);
CREATE TABLE Ward (
  ward_no integer PRIMARY KEY,
  alderman_first_name text,
  alderman_last_name text,
  alderman_name_suffix text,
  ward_office_address text,
  ward_office_zip text,
  ward_email text,
  ward_office_phone text,
  ward_office_fax text,
  city_hall_office_room integer,
  city_hall_office_phone text,
  city_hall_office_fax text,
  Population integer
);
CREATE TABLE Crime (
  report_no integer PRIMARY KEY,
  case_number text,
  date text,
  block text,
  iucr_no text,
  location_description text,
  arrest text,
  domestic text,
  beat integer,
  district_no integer,
  ward_no integer,
  community_area_no integer,
  fbi_code_no text,
  latitude text,
  longitude text
);
-- foreign keys: Neighborhood.community_area_no -> Community_Area.community_area_no; Crime.fbi_code_no -> FBI_Code.fbi_code_no; Crime.community_area_no -> Community_Area.community_area_no; Crime.district_no -> District.district_no; Crime.iucr_no -> IUCR.iucr_no; Crime.ward_no -> Ward.ward_no

Hint: "Austin" is the district_name; the most number of crime refers to Max(Count(case_number)); kind of location refers to location_description

Question: What kind of location in Austin reported the most number of crimes?

assistant: SELECT T2.location_description FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no WHERE T1.district_name = 'Austin' GROUP BY T2.location_description ORDER BY COUNT(T2.case_number) DESC LIMIT 1
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
PRAGMA foreign_keys = ON;
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_Details VARCHAR(255) NOT NULL,
PRIMARY KEY (Customer_ID)
);

Question: Compute the total amount of settlement across all the settlements.

assistant: SELECT sum(Amount_Settled) FROM Settlements
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 app_all (
  app_id integer PRIMARY KEY
);
CREATE TABLE app_events (
  event_id integer PRIMARY KEY,
  app_id integer PRIMARY KEY,
  is_installed integer,
  is_active integer
);
CREATE TABLE app_events_relevant (
  event_id integer PRIMARY KEY,
  app_id integer PRIMARY KEY,
  is_installed integer,
  is_active integer
);
CREATE TABLE app_labels (
  app_id integer,
  label_id integer
);
CREATE TABLE events (
  event_id integer PRIMARY KEY,
  device_id integer,
  timestamp datetime,
  longitude real,
  latitude real
);
CREATE TABLE events_relevant (
  event_id integer PRIMARY KEY,
  device_id integer,
  timestamp datetime,
  longitude real,
  latitude real
);
CREATE TABLE gender_age (
  device_id integer PRIMARY KEY,
  gender text,
  age integer,
  group text
);
CREATE TABLE gender_age_test (
  device_id integer PRIMARY KEY
);
CREATE TABLE gender_age_train (
  device_id integer PRIMARY KEY,
  gender text,
  age integer,
  group text
);
CREATE TABLE label_categories (
  label_id integer PRIMARY KEY,
  category text
);
CREATE TABLE phone_brand_device_model2 (
  device_id integer PRIMARY KEY,
  phone_brand text PRIMARY KEY,
  device_model text PRIMARY KEY
);
CREATE TABLE sample_submission (
  device_id integer PRIMARY KEY,
  F23- real,
  F24-26 real,
  F27-28 real,
  F29-32 real,
  F33-42 real,
  F43+ real,
  M22- real,
  M23-26 real,
  M27-28 real,
  M29-31 real,
  M32-38 real,
  M39+ real
);
-- foreign keys: app_events.event_id -> events.event_id; app_events_relevant.app_id -> app_all.app_id; app_events_relevant.event_id -> events_relevant.event_id; app_labels.app_id -> app_all.app_id; app_labels.label_id -> label_categories.label_id; events_relevant.device_id -> gender_age.device_id; gender_age.device_id -> phone_brand_device_model2.device_id

Hint: labeled 7 refers to label_id = 7;

Question: How many apps are labeled 7?

assistant: SELECT COUNT(app_id) FROM app_labels WHERE label_id = 7
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE runs (
  run_at text,
  max_rowid integer,
  reviews_added integer
);
CREATE TABLE podcasts (
  podcast_id text PRIMARY KEY,
  itunes_id integer,
  slug text,
  itunes_url text,
  title text
);
CREATE TABLE reviews (
  podcast_id text,
  title text,
  content text,
  rating integer,
  author_id text,
  created_at text
);
CREATE TABLE categories (
  podcast_id text PRIMARY KEY,
  category text PRIMARY KEY
);

Hint: Pop Rocket' is the title of podcast; in 2016 refers to created_at like'2016%'; rating less than 5 refers to rating < 5; author refers to author_id

Question: List the authors who created review for podcast titled 'Pop Rocket' in 2016 with rating less than 5.

assistant: SELECT T2.author_id FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Pop Rocket' AND T2.created_at LIKE '2016-%' AND T2.rating < 5
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: ids refers to bioguide; representatives refers to type = 'rep'; ended the term on 1/3/2019 refers to end = '2019-01-03';

Question: List all of the ids of the representatives belonging to the Democrat party in district 13 that ended their term on 1/3/2019?

assistant: SELECT bioguide FROM `current-terms` WHERE type = 'rep' AND party = 'Democrat' AND end = '2019-01-03' AND district = 13
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: How many distinct students have been in detention?

assistant: SELECT count(DISTINCT student_id) FROM Students_in_Detention
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 langs (
  lid integer PRIMARY KEY,
  lang text,
  locale text,
  pages integer,
  words integer
);
CREATE TABLE pages (
  pid integer PRIMARY KEY,
  lid integer,
  page integer,
  revision integer,
  title text,
  words integer
);
CREATE TABLE words (
  wid integer PRIMARY KEY,
  word text,
  occurrences integer
);
CREATE TABLE langs_words (
  lid integer PRIMARY KEY,
  wid integer PRIMARY KEY,
  occurrences integer
);
CREATE TABLE pages_words (
  pid integer PRIMARY KEY,
  wid integer PRIMARY KEY,
  occurrences integer
);
CREATE TABLE biwords (
  lid integer PRIMARY KEY,
  w1st integer PRIMARY KEY,
  w2nd integer PRIMARY KEY,
  occurrences integer
);
-- foreign keys: pages.lid -> langs.lid; langs_words.wid -> words.wid; langs_words.lid -> langs.lid; pages_words.wid -> words.wid; pages_words.pid -> pages.pid; biwords.w2nd -> words.wid; biwords.w1st -> words.wid; biwords.lid -> langs.lid

Hint: have the appearance of 'decimal' refers to word = 'decimal'

Question: List the page id of wikipedia about Catalan language which have the appearance of the word 'decimal'?

assistant: SELECT T2.pid FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid WHERE T1.word = 'decimal'
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 Episode (
  episode_id text PRIMARY KEY,
  series text,
  season integer,
  episode integer,
  number_in_series integer,
  title text,
  summary text,
  air_date date,
  episode_image text,
  rating real,
  votes integer
);
CREATE TABLE Keyword (
  episode_id text PRIMARY KEY,
  keyword text PRIMARY KEY
);
CREATE TABLE Person (
  person_id text PRIMARY KEY,
  name text,
  birthdate date,
  birth_name text,
  birth_place text,
  birth_region text,
  birth_country text,
  height_meters real,
  nickname text
);
CREATE TABLE Award (
  award_id integer PRIMARY KEY,
  organization text,
  year integer,
  award_category text,
  award text,
  series text,
  episode_id text,
  person_id text,
  role text,
  result text
);
CREATE TABLE Credit (
  episode_id text PRIMARY KEY,
  person_id text PRIMARY KEY,
  category text,
  role text,
  credited text
);
CREATE TABLE Vote (
  episode_id text,
  stars integer,
  votes integer,
  percent real
);
-- foreign keys: Keyword.episode_id -> Episode.episode_id; Award.person_id -> Person.person_id; Award.episode_id -> Episode.episode_id; Credit.person_id -> Person.person_id; Credit.episode_id -> Episode.episode_id; Vote.episode_id -> Episode.episode_id

Hint: the highest number of crews refers to max(count(person_id)); in the Art Department refers to category = 'Art Department'

Question: What is the title of the episode that has the highest number of crews in the Art Department?

assistant: SELECT T2.title FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.category = 'Art Department' GROUP BY T2.episode_id ORDER BY COUNT(T1.category) 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 essays (
  projectid text,
  teacher_acctid text,
  title text,
  short_description text,
  need_statement text,
  essay text
);
CREATE TABLE projects (
  projectid text PRIMARY KEY,
  teacher_acctid text,
  schoolid text,
  school_ncesid text,
  school_latitude real,
  school_longitude real,
  school_city text,
  school_state text,
  school_zip integer,
  school_metro text,
  school_district text,
  school_county text,
  school_charter text,
  school_magnet text,
  school_year_round text,
  school_nlns text,
  school_kipp text,
  school_charter_ready_promise text,
  teacher_prefix text,
  teacher_teach_for_america text,
  teacher_ny_teaching_fellow text,
  primary_focus_subject text,
  primary_focus_area text,
  secondary_focus_subject text,
  secondary_focus_area text,
  resource_type text,
  poverty_level text,
  grade_level text,
  fulfillment_labor_materials real,
  total_price_excluding_optional_support real,
  total_price_including_optional_support real,
  students_reached integer,
  eligible_double_your_impact_match text,
  eligible_almost_home_match text,
  date_posted date
);
CREATE TABLE donations (
  donationid text PRIMARY KEY,
  projectid text,
  donor_acctid text,
  donor_city text,
  donor_state text,
  donor_zip text,
  is_teacher_acct text,
  donation_timestamp datetime,
  donation_to_project real,
  donation_optional_support real,
  donation_total real,
  dollar_amount text,
  donation_included_optional_support text,
  payment_method text,
  payment_included_acct_credit text,
  payment_included_campaign_gift_card text,
  payment_included_web_purchased_gift_card text,
  payment_was_promo_matched text,
  via_giving_page text,
  for_honoree text,
  donation_message text
);
CREATE TABLE resources (
  resourceid text PRIMARY KEY,
  projectid text,
  vendorid integer,
  vendor_name text,
  project_resource_type text,
  item_name text,
  item_number text,
  item_unit_price real,
  item_quantity integer
);
-- foreign keys: donations.projectid -> projects.projectid; resources.projectid -> projects.projectid

Hint: resource type refer to project_resource_type; most commonly bought refer to COUNT(project_resource_type where school_district = ’Los Angeles Unif Sch Dist’); Los Angeles Unified School District refer to school_district = ’Los Angeles Unif Sch Dist’

Question: Which resource type is commonly bought by the Los Angeles Unified School District?

assistant: SELECT T1.project_resource_type FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_district = 'Los Angeles Unif Sch Dist' GROUP BY T2.school_district ORDER BY COUNT(T1.project_resource_type) 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 Episode (
  episode_id text PRIMARY KEY,
  season integer,
  episode integer,
  number_in_series integer,
  title text,
  summary text,
  air_date text,
  episode_image text,
  rating real,
  votes integer
);
CREATE TABLE Person (
  name text PRIMARY KEY,
  birthdate text,
  birth_name text,
  birth_place text,
  birth_region text,
  birth_country text,
  height_meters real,
  nickname text
);
CREATE TABLE Award (
  award_id integer PRIMARY KEY,
  organization text,
  year integer,
  award_category text,
  award text,
  person text,
  role text,
  episode_id text,
  season text,
  song text,
  result text
);
CREATE TABLE Character_Award (
  award_id integer,
  character text
);
CREATE TABLE Credit (
  episode_id text,
  category text,
  person text,
  role text,
  credited text
);
CREATE TABLE Keyword (
  episode_id text PRIMARY KEY,
  keyword text PRIMARY KEY
);
CREATE TABLE Vote (
  episode_id text,
  stars integer,
  votes integer,
  percent real
);
-- foreign keys: Award.episode_id -> Episode.episode_id; Award.person -> Person.name; Character_Award.award_id -> Award.award_id; Credit.person -> Person.name; Credit.episode_id -> Episode.episode_id; Keyword.episode_id -> Episode.episode_id; Vote.episode_id -> Episode.episode_id

Hint: "Outstanding Voice-Over Performance" is the award; 'Primetime Emmy Awards' is the organization; awardee refers to result = 'Winner'; first ever award refers to Min(year); age at the time of awarded refers to Subtract(year, SUBSTR(birthdate, 0, 5))

Question: How old was the awardee when he/she won the first-ever award for Outstanding Voice-Over Performance in Primetime Emmy Awards?

assistant: SELECT T2.year - CAST(SUBSTR(T1.birthdate, 1, 4) AS int) AS age FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Outstanding Voice-Over Performance' AND T2.organization = 'Primetime Emmy Awards' AND T2.result = 'Winner';