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 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: percentage = MULTIPLY(DIVIDE(SUM(gender = NULL and age = NULL and `group` = NULL), COUNT(device_id)), 1.0); vivo devices refers to phone_brand = 'vivo'; no information refers to gender = NULL AND age = NULL AND `group` = NULL;

Question: What percentage of vivo devices belong to users with no information?

assistant: SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'
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 "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
);

CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
);


CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
);

Question: What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'?

assistant: SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'
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: active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'

Question: Count the active businesses that has an attribute of caters with low review count.

assistant: SELECT COUNT(T1.business_id) 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 T3.attribute_name LIKE 'Caters' AND T1.review_count LIKE 'Low' AND T1.active LIKE 'TRUE'
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: 'Phoenix' is the city; waiter service refers to attribute_name = 'waiter_services'

Question: How many businesses in Phoenix, Arizona is attributed to waiter service?

assistant: SELECT COUNT(T1.business_id) 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 LIKE 'Phoenix' AND T3.attribute_name LIKE 'waiter_service' AND T2.attribute_id = 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 lists (
  user_id integer,
  list_id integer PRIMARY KEY,
  list_title text,
  list_movie_number integer,
  list_update_timestamp_utc text,
  list_creation_timestamp_utc text,
  list_followers integer,
  list_url text,
  list_comments integer,
  list_description text,
  list_cover_image_url text,
  list_first_image_url text,
  list_second_image_url text,
  list_third_image_url text
);
CREATE TABLE movies (
  movie_id integer PRIMARY KEY,
  movie_title text,
  movie_release_year integer,
  movie_url text,
  movie_title_language text,
  movie_popularity integer,
  movie_image_url text,
  director_id text,
  director_name text,
  director_url text
);
CREATE TABLE ratings_users (
  user_id integer,
  rating_date_utc text,
  user_trialist integer,
  user_subscriber integer,
  user_avatar_image_url text,
  user_cover_image_url text,
  user_eligible_for_trial integer,
  user_has_payment_method integer
);
CREATE TABLE lists_users (
  user_id integer PRIMARY KEY,
  list_id integer PRIMARY KEY,
  list_update_date_utc text,
  list_creation_date_utc text,
  user_trialist integer,
  user_subscriber integer,
  user_avatar_image_url text,
  user_cover_image_url text,
  user_eligible_for_trial text,
  user_has_payment_method text
);
CREATE TABLE ratings (
  movie_id integer,
  rating_id integer,
  rating_url text,
  rating_score integer,
  rating_timestamp_utc text,
  critic text,
  critic_likes integer,
  critic_comments integer,
  user_id integer,
  user_trialist integer,
  user_subscriber integer,
  user_eligible_for_trial integer,
  user_has_payment_method integer
);
-- foreign keys: lists.user_id -> lists_users.user_id; ratings_users.user_id -> lists_users.user_id; lists_users.user_id -> lists.user_id; lists_users.list_id -> lists.list_id; ratings.user_id -> ratings_users.user_id; ratings.user_id -> lists_users.user_id; ratings.movie_id -> movies.movie_id

Hint: movie titled "Red Blooded American Girl" refers to movie_title = 'Red Blooded American Girl'

Question: What is the URL to the movie director page on Mubi of the movie titled "Red Blooded American Girl"

assistant: SELECT director_url FROM movies WHERE movie_title LIKE 'Red Blooded American Girl'
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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
);

CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
);
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
);

CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
);

CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
);

CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
);

CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
);

CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
);

Question: What are the ids of all the employees who authorize document destruction?

assistant: SELECT DISTINCT Destruction_Authorised_by_Employee_ID FROM Documents_to_be_destroyed
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

user: Schema:
CREATE TABLE CBSA (
  CBSA integer PRIMARY KEY,
  CBSA_name text,
  CBSA_type text
);
CREATE TABLE state (
  abbreviation text PRIMARY KEY,
  name text
);
CREATE TABLE congress (
  cognress_rep_id text PRIMARY KEY,
  first_name text,
  last_name text,
  CID text,
  party text,
  state text,
  abbreviation text,
  House text,
  District integer,
  land_area real
);
CREATE TABLE zip_data (
  zip_code integer PRIMARY KEY,
  city text,
  state text,
  multi_county text,
  type text,
  organization text,
  time_zone text,
  daylight_savings text,
  latitude real,
  longitude real,
  elevation integer,
  state_fips integer,
  county_fips integer,
  region text,
  division text,
  population_2020 integer,
  population_2010 integer,
  households integer,
  avg_house_value integer,
  avg_income_per_household integer,
  persons_per_household real,
  white_population integer,
  black_population integer,
  hispanic_population integer,
  asian_population integer,
  american_indian_population integer,
  hawaiian_population integer,
  other_population integer,
  male_population integer,
  female_population integer,
  median_age real,
  male_median_age real,
  female_median_age real,
  residential_mailboxes integer,
  business_mailboxes integer,
  total_delivery_receptacles integer,
  businesses integer,
  1st_quarter_payroll integer,
  annual_payroll integer,
  employees integer,
  water_area real,
  land_area real,
  single_family_delivery_units integer,
  multi_family_delivery_units integer,
  total_beneficiaries integer,
  retired_workers integer,
  disabled_workers integer,
  parents_and_widowed integer,
  spouses integer,
  children integer,
  over_65 integer,
  monthly_benefits_all integer,
  monthly_benefits_retired_workers integer,
  monthly_benefits_widowed integer,
  CBSA integer
);
CREATE TABLE alias (
  zip_code integer PRIMARY KEY,
  alias text
);
CREATE TABLE area_code (
  zip_code integer PRIMARY KEY,
  area_code integer PRIMARY KEY
);
CREATE TABLE avoid (
  zip_code integer PRIMARY KEY,
  bad_alias text PRIMARY KEY
);
CREATE TABLE country (
  zip_code integer PRIMARY KEY,
  county text PRIMARY KEY,
  state text
);
CREATE TABLE zip_congress (
  zip_code integer PRIMARY KEY,
  district text PRIMARY KEY
);
-- foreign keys: congress.abbreviation -> state.abbreviation; zip_data.CBSA -> CBSA.CBSA; zip_data.state -> state.abbreviation; alias.zip_code -> zip_data.zip_code; area_code.zip_code -> zip_data.zip_code; avoid.zip_code -> zip_data.zip_code; country.state -> state.abbreviation; country.zip_code -> zip_data.zip_code; zip_congress.zip_code -> zip_data.zip_code; zip_congress.district -> congress.cognress_rep_id

Question: What is the area code of the city with the female median age over 32 years old?

assistant: SELECT T1.area_code FROM area_code AS T1 INNER JOIN ZIP_Data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.female_median_age > 32 GROUP BY T1.area_code
system: You are a text-to-SQL generator. Given a database schema and a question, reply with a single valid SQLite query that answers it. Output only the SQL on one line, with no explanation and no markdown.

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

Hint: country refers to n_name; most of the customers refer to MAX(COUNT(c_custkey));

Question: In which country do most of the customers come from?

assistant: SELECT T.n_name FROM ( SELECT T2.n_name, COUNT(T1.c_custkey) AS num FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey GROUP BY T2.n_name ) AS T ORDER BY T.num 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 people (
  Customer ID text PRIMARY KEY,
  Customer Name text,
  Segment text,
  Country text,
  City text,
  State text,
  Postal Code integer,
  Region text PRIMARY KEY
);
CREATE TABLE product (
  Product ID text PRIMARY KEY,
  Product Name text,
  Category text,
  Sub-Category text,
  Region text PRIMARY KEY
);
CREATE TABLE central_superstore (
  Row ID integer PRIMARY KEY,
  Order ID text,
  Order Date date,
  Ship Date date,
  Ship Mode text,
  Customer ID text,
  Region text,
  Product ID text,
  Sales real,
  Quantity integer,
  Discount real,
  Profit real
);
CREATE TABLE east_superstore (
  Row ID integer PRIMARY KEY,
  Order ID text,
  Order Date date,
  Ship Date date,
  Ship Mode text,
  Customer ID text,
  Region text,
  Product ID text,
  Sales real,
  Quantity integer,
  Discount real,
  Profit real
);
CREATE TABLE south_superstore (
  Row ID integer PRIMARY KEY,
  Order ID text,
  Order Date date,
  Ship Date date,
  Ship Mode text,
  Customer ID text,
  Region text,
  Product ID text,
  Sales real,
  Quantity integer,
  Discount real,
  Profit real
);
CREATE TABLE west_superstore (
  Row ID integer PRIMARY KEY,
  Order ID text,
  Order Date date,
  Ship Date date,
  Ship Mode text,
  Customer ID text,
  Region text,
  Product ID text,
  Sales real,
  Quantity integer,
  Discount real,
  Profit real
);
-- foreign keys: central_superstore.Product ID -> product.Product ID; central_superstore.Region -> product.Region; central_superstore.Customer ID -> people.Customer ID; central_superstore.Region -> people.Region; east_superstore.Product ID -> product.Product ID; east_superstore.Region -> product.Region; east_superstore.Customer ID -> people.Customer ID; east_superstore.Region -> people.Region; south_superstore.Product ID -> product.Product ID; south_superstore.Region -> product.Region; south_superstore.Customer ID -> people.Customer ID; south_superstore.Region -> people.Region; west_superstore.Product ID -> product.Product ID; west_superstore.Region -> product.Region; west_superstore.Customer ID -> people.Customer ID; west_superstore.Region -> people.Region

Hint: Xerox 1952 is a "Product Name"; ordered by Aimee Bixby refers to "Customer Name" = 'Aimee Bixby'; on 2014/9/10 refers to "Order Date" = date('2014-09-10'); original price refers to DIVIDE(Sales, SUTRACT(1, discount))

Question: What was the original price of Xerox 1952 ordered by Aimee Bixby on 2014/9/10?

assistant: SELECT DISTINCT T2.Sales / (1 - T2.Discount) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T3.`Product Name` = 'Xerox 1952' AND T2.`Order Date` = '2014-09-10'