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 "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: What are the songs in volumes that have resulted in a nomination at music festivals?

assistant: SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated"
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 "building" (
"building_id" text,
"Name" text,
"Street_address" text,
"Years_as_tallest" text,
"Height_feet" int,
"Floors" int,
PRIMARY KEY("building_id")
);

CREATE TABLE "Institution" (
"Institution_id"  text,
"Institution" text,
"Location" text,
"Founded" real,
"Type" text,
"Enrollment" int,
"Team" text,
"Primary_Conference" text,
"building_id" text,
PRIMARY KEY("Institution_id"),
FOREIGN  KEY ("building_id") REFERENCES "building"("building_id")
);

CREATE TABLE "protein" (
"common_name" text,
"protein_name" text,
"divergence_from_human_lineage" real,
"accession_number" text,
"sequence_length" real,
"sequence_identity_to_human_protein" text,
"Institution_id" text,
PRIMARY KEY("common_name"),
FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id")
);

Question: Show the names and heights of buildings with at least two institutions founded after 1880.

assistant: SELECT T1.name , T1.height_feet FROM building AS T1 JOIN institution AS T2 ON T1.building_id = T2.building_id WHERE T2.founded > 1880 GROUP BY T1.building_id HAVING count(*) >= 2
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 Allergy_Type (
       Allergy 		  VARCHAR(20) PRIMARY KEY,
       AllergyType 	  VARCHAR(20)
);

create table Has_Allergy (
       StuID 		 INTEGER,
       Allergy 		 VARCHAR(20),
       FOREIGN KEY(StuID) REFERENCES Student(StuID),
       FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
);

create table Student (
        StuID        INTEGER PRIMARY KEY,
        LName        VARCHAR(12),
        Fname        VARCHAR(12),
        Age      INTEGER,
        Sex      VARCHAR(1),
        Major        INTEGER,
        Advisor      INTEGER,
        city_code    VARCHAR(3)
 );

Question: Which allergy type is the least common?

assistant: SELECT allergytype FROM Allergy_type GROUP BY allergytype ORDER BY count(*) ASC 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 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: not senator refers to class is null;

Question: How many legislators are not senator?

assistant: SELECT COUNT(bioguide) FROM `current-terms` WHERE class IS NULL
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 "Campuses" (
	"Id" INTEGER PRIMARY KEY, 
	"Campus" TEXT, 
	"Location" TEXT, 
	"County" TEXT, 
	"Year" INTEGER 
);

CREATE TABLE "csu_fees" ( 
	"Campus" INTEGER PRIMARY KEY, 
	"Year" INTEGER, 
	"CampusFee" INTEGER,
	FOREIGN KEY (Campus) REFERENCES Campuses(Id)
);

CREATE TABLE "degrees" ( 
	"Year" INTEGER,
	"Campus" INTEGER, 
	"Degrees" INTEGER,
	PRIMARY KEY (Year, Campus),
	FOREIGN KEY (Campus) REFERENCES Campuses(Id)
);



CREATE TABLE "discipline_enrollments" ( 
	"Campus" INTEGER, 
	"Discipline" INTEGER, 
	"Year" INTEGER, 
	"Undergraduate" INTEGER, 
	"Graduate" INTEGER,
	PRIMARY KEY (Campus, Discipline),
	FOREIGN KEY (Campus) REFERENCES Campuses(Id)
);



CREATE TABLE "enrollments" ( 
	"Campus" INTEGER, 
	"Year" INTEGER, 
	"TotalEnrollment_AY" INTEGER, 
	"FTE_AY" INTEGER,
	PRIMARY KEY(Campus, Year),
	FOREIGN KEY (Campus) REFERENCES Campuses(Id)
);

CREATE TABLE "faculty" ( 
	"Campus" INTEGER, 
	"Year" INTEGER, 
	"Faculty" REAL,
	FOREIGN KEY (Campus) REFERENCES Campuses(Id) 
);

Question: What are the campuses that had between 600 and 1000 faculty members in 2004?

assistant: SELECT T1.campus FROM campuses AS t1 JOIN faculty AS t2 ON t1.id = t2.campus WHERE t2.faculty >= 600 AND t2.faculty <= 1000 AND T1.year = 2004
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 Student (
        StuID        INTEGER PRIMARY KEY,
        LName        VARCHAR(12),
        Fname        VARCHAR(12),
        Age      INTEGER,
        Sex      VARCHAR(1),
        Major        INTEGER,
        Advisor      INTEGER,
        city_code    VARCHAR(3)
 );

create table Video_Games (
       GameID           INTEGER PRIMARY KEY,
       GName            VARCHAR(40),
       GType            VARCHAR(40)
);

create table Plays_Games (
       StuID                INTEGER,
       GameID            INTEGER,
       Hours_Played      INTEGER,
       FOREIGN KEY(GameID) REFERENCES Video_Games(GameID),
       FOREIGN KEY(StuID) REFERENCES Student(StuID)
);

create table SportsInfo (
  StuID INTEGER,
  SportName VARCHAR(32),
  HoursPerWeek INTEGER,
  GamesPlayed INTEGER,
  OnScholarship VARCHAR(1),
  FOREIGN KEY(StuID) REFERENCES Student(StuID)
);

Question: What is the first name and last name of the student who have most number of sports?

assistant: SELECT T2.Fname , T2.Lname FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID GROUP BY T1.StuID ORDER BY count(*) 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 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: "Shopping Centers" is the category_name; high review count refers to review_count = 'High'

Question: How many businesses have shopping centers and received high review count?

assistant: SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Shopping Centers' AND T3.review_count = 'High'
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
PRAGMA foreign_keys=OFF;
BEGIN TRANSACTION;
CREATE TABLE station (
    id INTEGER PRIMARY KEY,
    name TEXT,
    lat NUMERIC,
    long NUMERIC,
    dock_count INTEGER,
    city TEXT,
    installation_date TEXT);

Question: What are the dates with a maximum temperature higher than 85?

assistant: SELECT date FROM weather WHERE max_temperature_f > 85
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: "Please Excuse My Dead Aunt Sally" is the title of podcast; made in the year 2019 refers to created_at like '2019%'

Question: Among the reviews for the podcast "Please Excuse My Dead Aunt Sally", how many of them are made in the year 2019?

assistant: SELECT COUNT(T2.created_at) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Please Excuse My Dead Aunt Sally' AND T2.created_at LIKE '2019-%'
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: senator refers to type = 'sen'; class 1 refers to class = 1; calculation = MULTIPLY(DIVIDE(COUNT(class = 1 then bioguide), COUNT(bioguide)), 1.0)

Question: How many percent of senators were from class 1?

assistant: SELECT CAST(SUM(CASE WHEN class = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `historical-terms` WHERE type = 'sen'
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: Which movies refers to title; actor refers to person_name

Question: Which movies have the participation of actor Harrison Ford?

assistant: SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Harrison Ford'
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 course (
  course_id integer PRIMARY KEY,
  courseLevel text
);
CREATE TABLE person (
  p_id integer PRIMARY KEY,
  professor integer,
  student integer,
  hasPosition text,
  inPhase text,
  yearsInProgram text
);
CREATE TABLE advisedBy (
  p_id integer PRIMARY KEY,
  p_id_dummy integer PRIMARY KEY
);
CREATE TABLE taughtBy (
  course_id integer PRIMARY KEY,
  p_id integer PRIMARY KEY
);
-- foreign keys: advisedBy.p_id -> person.p_id; advisedBy.p_id_dummy -> person.p_id; taughtBy.course_id -> course.course_id; taughtBy.p_id -> person.p_id

Hint: professors who are faculty employees refers to professor = 1; faculty employees refers to hasPosition = 'Faculty_eme'

Question: State the courses and level of courses by professors who are faculty employees.

assistant: SELECT T3.course_id, T3.courseLevel FROM taughtBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T1.course_id WHERE T2.hasPosition = 'Faculty_eme'
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 all_prevalences (
  ITEM text PRIMARY KEY,
  POPULATION TYPE text,
  OCCURRENCES integer,
  POPULATION COUNT integer,
  PREVALENCE RATE real,
  PREVALENCE PERCENTAGE real
);
CREATE TABLE patients (
  patient text PRIMARY KEY,
  birthdate date,
  deathdate date,
  ssn text,
  drivers text,
  passport text,
  prefix text,
  first text,
  last text,
  suffix text,
  maiden text,
  marital text,
  race text,
  ethnicity text,
  gender text,
  birthplace text,
  address text
);
CREATE TABLE encounters (
  ID text PRIMARY KEY,
  DATE date,
  PATIENT text,
  CODE integer,
  DESCRIPTION text,
  REASONCODE integer,
  REASONDESCRIPTION text
);
CREATE TABLE allergies (
  START text,
  STOP text,
  PATIENT text PRIMARY KEY,
  ENCOUNTER text PRIMARY KEY,
  CODE integer PRIMARY KEY,
  DESCRIPTION text
);
CREATE TABLE careplans (
  ID text,
  START date,
  STOP date,
  PATIENT text,
  ENCOUNTER text,
  CODE real,
  DESCRIPTION text,
  REASONCODE integer,
  REASONDESCRIPTION text
);
CREATE TABLE conditions (
  START date,
  STOP date,
  PATIENT text,
  ENCOUNTER text,
  CODE integer,
  DESCRIPTION text
);
CREATE TABLE immunizations (
  DATE date PRIMARY KEY,
  PATIENT text PRIMARY KEY,
  ENCOUNTER text PRIMARY KEY,
  CODE integer PRIMARY KEY,
  DESCRIPTION text
);
CREATE TABLE medications (
  START date PRIMARY KEY,
  STOP date,
  PATIENT text PRIMARY KEY,
  ENCOUNTER text PRIMARY KEY,
  CODE integer PRIMARY KEY,
  DESCRIPTION text,
  REASONCODE integer,
  REASONDESCRIPTION text
);
CREATE TABLE observations (
  DATE date,
  PATIENT text,
  ENCOUNTER text,
  CODE text,
  DESCRIPTION text,
  VALUE real,
  UNITS text
);
CREATE TABLE procedures (
  DATE date,
  PATIENT text,
  ENCOUNTER text,
  CODE integer,
  DESCRIPTION text,
  REASONCODE integer,
  REASONDESCRIPTION text
);
CREATE TABLE claims (
  ID text PRIMARY KEY,
  PATIENT text,
  BILLABLEPERIOD date,
  ORGANIZATION text,
  ENCOUNTER text,
  DIAGNOSIS text,
  TOTAL integer
);
-- foreign keys: encounters.PATIENT -> patients.patient; allergies.PATIENT -> patients.patient; allergies.ENCOUNTER -> encounters.ID; careplans.PATIENT -> patients.patient; careplans.ENCOUNTER -> encounters.ID; conditions.DESCRIPTION -> all_prevalences.ITEM; conditions.PATIENT -> patients.patient; conditions.ENCOUNTER -> encounters.ID; immunizations.PATIENT -> patients.patient; immunizations.ENCOUNTER -> encounters.ID; medications.PATIENT -> patients.patient; medications.ENCOUNTER -> encounters.ID; observations.PATIENT -> patients.patient; observations.ENCOUNTER -> encounters.ID; procedures.PATIENT -> patients.patient; procedures.ENCOUNTER -> encounters.ID

Hint: outpatient encounter care plan refers to careplans where DESCRIPTION = 'Outpatient Encounter';

Question: What are the birth date of patients who took outpatient encounter care plan?

assistant: SELECT DISTINCT T1.birthdate FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Outpatient Encounter'