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 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: businesses name refers to business_id; rating refers to stars; stars < 5;

Question: Please list the businesses name with a rating less than 5 whose category name is men's clothing.

assistant: SELECT 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 LIKE 'Men''s Clothing' AND T3.stars < 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 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: over 200 votes refers to votes > 200; 10 in star score refers to stars = 10

Question: Please list the titles of the episodes that have over 200 voters voting a 10 in star score.

assistant: SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.votes > 200 AND T2.stars = 10;
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
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: Asia is the name of the region;

Question: Which high income group countries are from Asia?

assistant: SELECT CountryCode, Region FROM Country WHERE (IncomeGroup = 'High income: OECD' OR IncomeGroup = 'High income: nonOECD') AND Region LIKE '%Asia%'
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 coins (
  id integer PRIMARY KEY,
  name text,
  slug text,
  symbol text,
  status text,
  category text,
  description text,
  subreddit text,
  notice text,
  tags text,
  tag_names text,
  website text,
  platform_id integer,
  date_added text,
  date_launched text
);
CREATE TABLE historical (
  date date,
  coin_id integer,
  cmc_rank integer,
  market_cap real,
  price real,
  open real,
  high real,
  low real,
  close real,
  time_high text,
  time_low text,
  volume_24h real,
  percent_change_1h real,
  percent_change_24h real,
  percent_change_7d real,
  circulating_supply real,
  total_supply real,
  max_supply real,
  num_market_pairs integer
);

Hint: when refers to date; the highest price refers to max(price)

Question: When is the highest price of Terracoin?

assistant: SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Terracoin' ORDER BY T2.price 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 "Rooms" ( 
	"RoomId" TEXT PRIMARY KEY,
	"roomName" TEXT, 
	"beds" INTEGER, 
	"bedType" TEXT, 
	"maxOccupancy" INTEGER, 
	"basePrice" INTEGER, 
	"decor" TEXT

);

CREATE TABLE "Reservations" ( 
	"Code" INTEGER PRIMARY KEY, 
	"Room" TEXT, 
	"CheckIn" TEXT, 
	"CheckOut" TEXT, 
	"Rate" REAL, 
	"LastName" TEXT, 
	"FirstName" TEXT, 
	"Adults" INTEGER, 
	"Kids" INTEGER,
	FOREIGN KEY (Room) REFERENCES Rooms(RoomId)
);

Question: How many kids stay in the rooms reserved by ROY SWEAZY?

assistant: SELECT kids FROM Reservations WHERE FirstName = "ROY" AND LastName = "SWEAZY";
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: from Animation Department refers to category = 'Animation Department'; AVG(height_meters) where category = 'Animation Department'

Question: What is the average heights of crew members from Animation Department?

assistant: SELECT AVG(T1.height_meters) FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Animation Department';
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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
);

CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
);

Question: What are the names of device shops, and what are the carriers that they carry devices in stock for?

assistant: SELECT T3.Shop_Name , T2.Carrier FROM stock AS T1 JOIN device AS T2 ON T1.Device_ID = T2.Device_ID JOIN shop AS T3 ON T1.Shop_ID = T3.Shop_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 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: highest number of solution path refers to max(count(Path)); id of the repository refers to RepoId

Question: What is the id of the repository with the highest number of solution path?

assistant: SELECT RepoId FROM solution GROUP BY RepoId ORDER BY COUNT(Path) 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: Rock Hill City School refers to school_city = 'Rock Hill'; teacher donors refers to is_teacher_acct = 't'

Question: How many Rock Hill City School projects have teacher donors?

assistant: SELECT COUNT(DISTINCT T1.teacher_acctid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_city = 'Rock Hill' AND is_teacher_acct = 't'
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 "Player_Attributes" (
	`id`	INTEGER PRIMARY KEY AUTOINCREMENT,
	`player_fifa_api_id`	INTEGER,
	`player_api_id`	INTEGER,
	`date`	TEXT,
	`overall_rating`	INTEGER,
	`potential`	INTEGER,
	`preferred_foot`	TEXT,
	`attacking_work_rate`	TEXT,
	`defensive_work_rate`	TEXT,
	`crossing`	INTEGER,
	`finishing`	INTEGER,
	`heading_accuracy`	INTEGER,
	`short_passing`	INTEGER,
	`volleys`	INTEGER,
	`dribbling`	INTEGER,
	`curve`	INTEGER,
	`free_kick_accuracy`	INTEGER,
	`long_passing`	INTEGER,
	`ball_control`	INTEGER,
	`acceleration`	INTEGER,
	`sprint_speed`	INTEGER,
	`agility`	INTEGER,
	`reactions`	INTEGER,
	`balance`	INTEGER,
	`shot_power`	INTEGER,
	`jumping`	INTEGER,
	`stamina`	INTEGER,
	`strength`	INTEGER,
	`long_shots`	INTEGER,
	`aggression`	INTEGER,
	`interceptions`	INTEGER,
	`positioning`	INTEGER,
	`vision`	INTEGER,
	`penalties`	INTEGER,
	`marking`	INTEGER,
	`standing_tackle`	INTEGER,
	`sliding_tackle`	INTEGER,
	`gk_diving`	INTEGER,
	`gk_handling`	INTEGER,
	`gk_kicking`	INTEGER,
	`gk_positioning`	INTEGER,
	`gk_reflexes`	INTEGER,
	FOREIGN KEY(`player_fifa_api_id`) REFERENCES `Player`(`player_fifa_api_id`),
	FOREIGN KEY(`player_api_id`) REFERENCES `Player`(`player_api_id`)
);

Question: Of all players with an overall rating greater than 80, how many are right-footed and left-footed?

assistant: SELECT preferred_foot , count(*) FROM Player_Attributes WHERE overall_rating > 80 GROUP BY preferred_foot
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:
-- dbext:type=SQLITE:dbname=movie_rating.db

/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;

/* Create the schema for our tables */
create table Movie(
	mID int primary key, 
	title text, 
	year int, 
	director text
);
create table Reviewer(
	rID int primary key, 
	name text);

create table Rating(
	rID int, 
	mID int, 
	stars int, 
	ratingDate date,
	FOREIGN KEY (mID) references Movie(mID),
	FOREIGN KEY (rID) references Reviewer(rID)
);

/* Populate the tables with our data */

Question: For each director, what is the title and score of their most poorly rated movie?

assistant: SELECT T2.title , T1.stars , T2.director , min(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T2.director
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 Club (
       ClubID           INTEGER PRIMARY KEY,
       ClubName         VARCHAR(40),
       ClubDesc         VARCHAR(1024),
       ClubLocation VARCHAR(40)
);

create table Member_of_club (
       StuID            INTEGER,
       ClubID           INTEGER,
       Position     VARCHAR(40),
       FOREIGN KEY(StuID) REFERENCES Student(StuID),
       FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
);

Question: Find the names of all the clubs that have at least a member from the city with city code "BAL".

assistant: SELECT DISTINCT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.city_code = "BAL"
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:
--data definition

create table genre(
	g_name varchar2(20) not null,
	rating varchar2(10),
	most_popular_in varchar2(50),
	primary key(g_name)
);

create table artist(
	artist_name varchar2(50) not null,
	country varchar2(20),
	gender varchar2(20),
	preferred_genre varchar2(50),
	constraint a_name primary key(artist_name),
	foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE
);

create table files(
	f_id number(10) not null,
	artist_name varchar2(50),
	file_size varchar2(20),
	duration varchar2(20),
	formats varchar2(20),
	primary key(f_id),
	foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE
);


create table song(
	song_name varchar2(50),
	artist_name varchar2(50),
	country varchar2(20),
	f_id number(10),
    	genre_is varchar2(20),
	rating number(10) check(rating>0 and rating<11),
	languages varchar2(20),
	releasedate Date, 
	resolution number(10) not null,
	constraint s_name primary key(song_name),
	foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE,
	foreign key(f_id) references files(f_id) ON DELETE CASCADE,
	foreign key(genre_is) references genre(g_name) ON DELETE CASCADE
);


--insertion of attributes in the table

Question: What is the most popular file format?

assistant: SELECT formats FROM files GROUP BY formats 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:
PRAGMA foreign_keys = ON;

CREATE TABLE "perpetrator" (
"Perpetrator_ID" int,
"People_ID" int,
"Date" text,
"Year" real,
"Location" text,
"Country" text,
"Killed" int,
"Injured" int,
PRIMARY KEY ("Perpetrator_ID"),
FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID")
);

CREATE TABLE "people" (
"People_ID" int,
"Name" text,
"Height" real,
"Weight" real,
"Home Town" text,
PRIMARY KEY ("People_ID")
);

Question: List the names of perpetrators in descending order of the year.

assistant: SELECT T1.Name FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Year 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 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: between 1/1/2017 and 4/1/2017 refers to Date received between '2017-01-01' and '2017-04-01'; average server time refers to avg(ser_time)

Question: Between 1/1/2017 and 4/1/2017, what is the average server time of calls under the server DARMON?

assistant: SELECT AVG(CAST(SUBSTR(ser_time, 4, 2) AS REAL)) FROM callcenterlogs WHERE `Date received` BETWEEN '2017-01-01' AND '2017-04-01'