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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
);

Question: What are the first and last names of all customers with more than 2 payments?

assistant: SELECT T2.first_name , T2.last_name FROM Customer_Payments AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_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 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: once a senator during term refers to state_rank IS NOT NULL

Question: Please list the official full names of all the current legislators who were once a senator during his or her terms.

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 IS NOT 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:
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: List all the cities in a decreasing order of each city's stations' highest latitude.

assistant: SELECT city FROM station GROUP BY city ORDER BY max(lat) 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:
PRAGMA foreign_keys = ON;
CREATE TABLE `Course_Authors_and_Tutors` (
`author_id` INTEGER PRIMARY KEY,
`author_tutor_ATB` VARCHAR(3),
`login_name` VARCHAR(40),
`password` VARCHAR(40),
`personal_name` VARCHAR(80),
`middle_name` VARCHAR(80),
`family_name` VARCHAR(80),
`gender_mf` VARCHAR(1),
`address_line_1` VARCHAR(80)
);

Question: Find the login name of the course author that teaches the course with name "advanced database".

assistant: SELECT T1.login_name FROM Course_Authors_and_Tutors AS T1 JOIN Courses AS T2 ON T1.author_id = T2.author_id WHERE T2.course_name = "advanced database"
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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
);

Question: What are the order details of the products with price higher than 2000?

assistant: SELECT T1.Other_Item_Details FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_price > 2000
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 station (
  id integer PRIMARY KEY,
  name text,
  lat real,
  long real,
  dock_count integer,
  city text,
  installation_date text
);
CREATE TABLE status (
  station_id integer,
  bikes_available integer,
  docks_available integer,
  time text
);
CREATE TABLE trip (
  id integer PRIMARY KEY,
  duration integer,
  start_date text,
  start_station_name text,
  start_station_id integer,
  end_date text,
  end_station_name text,
  end_station_id integer,
  bike_id integer,
  subscription_type text,
  zip_code integer
);
CREATE TABLE weather (
  date text,
  max_temperature_f integer,
  mean_temperature_f integer,
  min_temperature_f integer,
  max_dew_point_f integer,
  mean_dew_point_f integer,
  min_dew_point_f integer,
  max_humidity integer,
  mean_humidity integer,
  min_humidity integer,
  max_sea_level_pressure_inches real,
  mean_sea_level_pressure_inches real,
  min_sea_level_pressure_inches real,
  max_visibility_miles integer,
  mean_visibility_miles integer,
  min_visibility_miles integer,
  max_wind_Speed_mph integer,
  mean_wind_speed_mph integer,
  max_gust_speed_mph integer,
  precipitation_inches text,
  cloud_cover integer,
  events text,
  wind_dir_degrees integer,
  zip_code text
);

Hint: in 2006 refers to start_date LIKE'%2006%'; ended at station refers to end_station_name; Mountain View refers to city = 'Mountain View';

Question: In 2006, how many trips ended at stations in Mountain View?

assistant: SELECT COUNT(T2.city) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.end_station_name WHERE T2.city = 'Mountain View' AND T1.start_date LIKE '%2006%'
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 Method (
  Id integer PRIMARY KEY,
  Name text,
  FullComment text,
  Summary text,
  ApiCalls text,
  CommentIsXml integer,
  SampledAt integer,
  SolutionId integer,
  Lang text,
  NameTokenized text
);
CREATE TABLE MethodParameter (
  Id integer PRIMARY KEY,
  MethodId text,
  Type text,
  Name text
);
CREATE TABLE Repo (
  Id integer PRIMARY KEY,
  Url text,
  Stars integer,
  Forks integer,
  Watchers integer,
  ProcessedTime integer
);
CREATE TABLE Solution (
  Id integer PRIMARY KEY,
  RepoId integer,
  Path text,
  ProcessedTime integer,
  WasCompiled integer
);

Hint: over 200 likes refers to Stars > 200; ProcessedTime<636439500080712000;

Question: Among the repositories with over 200 likes, how many of them have files contained by solutions with a processed time of under 636439500080712000?

assistant: SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.ProcessedTime < 636439500080712000 AND T1.Stars > 200
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
PRAGMA foreign_keys = ON;

CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
);

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

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

Question: What are the district names and city populations for all districts that between 200,000 and 2,000,000 residents?

assistant: SELECT District_name , City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000
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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
);

Question: What are all the payment methods?

assistant: SELECT DISTINCT payment_method FROM customers
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 "gymnast" (
"Gymnast_ID" int,
"Floor_Exercise_Points" real,
"Pommel_Horse_Points" real,
"Rings_Points" real,
"Vault_Points" real,
"Parallel_Bars_Points" real,
"Horizontal_Bar_Points" real,
"Total_Points" real,
PRIMARY KEY ("Gymnast_ID"),
FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID")
);

CREATE TABLE "people" (
"People_ID" int,
"Name" text,
"Age" real,
"Height" real,
"Hometown" text,
PRIMARY KEY ("People_ID")
);

Question: From which hometowns did both people older than 23 and younger than 20 come from?

assistant: SELECT Hometown FROM people WHERE Age > 23 INTERSECT SELECT Hometown FROM people WHERE Age < 20
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: female refers to gender_bio = 'F';

Question: How many of the legislators are female?

assistant: SELECT COUNT(gender_bio) FROM current WHERE gender_bio = '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:
PRAGMA foreign_keys = ON;
CREATE TABLE `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
);

Question: For each product that has problems, find the number of problems reported after 1986-11-13 and the product id?

assistant: SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T1.date_problem_reported > "1986-11-13" GROUP BY T2.product_id
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: "Noise Level" is the attribute_name; 'Mesa' is the name of city

Question: How is the "noise level" for the only Yelp business in “Mesa” which got a "Uber" review count?

assistant: SELECT T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city = 'Mesa' AND T1.review_count = 'Uber' AND T3.attribute_name = 'Noise Level'
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 (
  CountryCode text PRIMARY KEY,
  ShortName text,
  TableName text,
  LongName text,
  Alpha2Code text,
  CurrencyUnit text,
  SpecialNotes text,
  Region text,
  IncomeGroup text,
  Wb2Code text,
  NationalAccountsBaseYear text,
  NationalAccountsReferenceYear text,
  SnaPriceValuation text,
  LendingCategory text,
  OtherGroups text,
  SystemOfNationalAccounts text,
  AlternativeConversionFactor text,
  PppSurveyYear text,
  BalanceOfPaymentsManualInUse text,
  ExternalDebtReportingStatus text,
  SystemOfTrade text,
  GovernmentAccountingConcept text,
  ImfDataDisseminationStandard text,
  LatestPopulationCensus text,
  LatestHouseholdSurvey text,
  SourceOfMostRecentIncomeAndExpenditureData text,
  VitalRegistrationComplete text,
  LatestAgriculturalCensus text,
  LatestIndustrialData integer,
  LatestTradeData integer,
  LatestWaterWithdrawalData integer
);
CREATE TABLE Series (
  SeriesCode text PRIMARY KEY,
  Topic text,
  IndicatorName text,
  ShortDefinition text,
  LongDefinition text,
  UnitOfMeasure text,
  Periodicity text,
  BasePeriod text,
  OtherNotes integer,
  AggregationMethod text,
  LimitationsAndExceptions text,
  NotesFromOriginalSource text,
  GeneralComments text,
  Source text,
  StatisticalConceptAndMethodology text,
  DevelopmentRelevance text,
  RelatedSourceLinks text,
  OtherWebLinks integer,
  RelatedIndicators integer,
  LicenseType text
);
CREATE TABLE CountryNotes (
  Countrycode text PRIMARY KEY,
  Seriescode text PRIMARY KEY,
  Description text
);
CREATE TABLE Footnotes (
  Countrycode text PRIMARY KEY,
  Seriescode text PRIMARY KEY,
  Year text PRIMARY KEY,
  Description text
);
CREATE TABLE Indicators (
  CountryName text,
  CountryCode text PRIMARY KEY,
  IndicatorName text,
  IndicatorCode text PRIMARY KEY,
  Year integer PRIMARY KEY,
  Value integer
);
CREATE TABLE SeriesNotes (
  Seriescode text PRIMARY KEY,
  Year text PRIMARY KEY,
  Description text
);
-- foreign keys: CountryNotes.Countrycode -> Country.CountryCode; CountryNotes.Seriescode -> Series.SeriesCode; Footnotes.Countrycode -> Country.CountryCode; Footnotes.Seriescode -> Series.SeriesCode; Indicators.CountryCode -> Country.CountryCode; SeriesNotes.Seriescode -> Series.SeriesCode

Hint: Arab World refers to CountryName; Year = '1960'; values are higher than 50 refers to Value>50;

Question: Please list the indicator names of Arab World whose values are higher than 50 in 1960.

assistant: SELECT IndicatorName FROM Indicators WHERE CountryName = 'Arab World' AND Year = 1960 AND Value > 50
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: Catalan language refers to lang = 'ca'

Question: How many pages does the Catalan language have in Wikipedia?

assistant: SELECT pages FROM langs WHERE lang = 'ca'
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: main subject refers to primary_focus_subject

Question: For project titled 'Toot Your Flute!', what is the main subject of the project materials intended for? Name the other projects with the similar focus.

assistant: SELECT T2.primary_focus_subject FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title = 'Toot Your Flute!'