aherntech/sparc huggingface dataset:
Database: customers_and_addresses
Question sequence:
What is the detail of each product?
What are the distinct product details?
SQL query sequence:
SELECT product_details FROM products
SELECT DISTINCT product_details FROM products
Final question: Return the the details of all products.
Final SQL: SELECT DISTINCT product_details FROM products
Database: customers_and_addresses
Question sequence:
Return customers whose name contains "Alex".
What are the full names of these customers?
SQL query sequence:
SELECT * FROM customers WHERE customer_name LIKE "%Alex%"
SELECT * FROM customers WHERE customer_name LIKE "%Alex%"
Final question: Which customer's name contains "Alex"? Find the full name.
Final SQL: SELECT customer_name FROM customers WHERE customer_name LIKE "%Alex%"
Database: customers_and_addresses
Question sequence:
Return products whose details contain the word "Latte" or "Americano".
What are the full details for these products?
SQL query sequence:
SELECT * FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%"
SELECT product_details FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%"
Final question: Which product's detail contains the word "Latte" or "Americano"? Return the full detail.
Final SQL: SELECT product_details FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%"
Database: customers_and_addresses
Question sequence:
Find the customer who is named "Maudie Kertzmann".
What is the address id of this customer?
What is the address content?
SQL query sequence:
SELECT * FROM customers WHERE customer_name  =  "Maudie Kertzmann"
SELECT t2.address_id FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id WHERE t1.customer_name  =  "Maudie Kertzmann"
SELECT t3.address_content FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t1.customer_name  =  "Maudie Kertzmann"
Final question: Return the address content for the customer whose name is "Maudie Kertzmann".
Final SQL: SELECT t3.address_content FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t1.customer_name  =  "Maudie Kertzmann"
Database: customers_and_addresses
Question sequence:
Find all the address ids for the city called Lake Geovannyton.
Find all the customers whose address is in this city.
How many customers are living there?
SQL query sequence:
SELECT address_id FROM addresses WHERE city  =  "Lake Geovannyton"
SELECT * FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t3.city  =  "Lake Geovannyton"
SELECT count(*) FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t3.city  =  "Lake Geovannyton"
Final question: Find the number of customers who live in the city called Lake Geovannyton.
Final SQL: SELECT count(*) FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t3.city  =  "Lake Geovannyton"
Database: customers_and_addresses
Question sequence:
What are the ids of addresses in Colorado state?
Tell me the ids of customers who live there.
What are the names of these customers?
SQL query sequence:
SELECT address_id FROM addresses WHERE state_province_county  =  "Colorado"
SELECT t2.customer_id FROM customer_addresses AS t2 JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t3.state_province_county  =  "Colorado"
SELECT t1.customer_name FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t3.state_province_county  =  "Colorado"
Final question: What are the names of customers who live in Colorado state?
Final SQL: SELECT t1.customer_name FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t3.state_province_county  =  "Colorado"
Database: customers_and_addresses
Question sequence:
For each customer, find the city he or she lives in.
What are all the distinct cities customers live in?
What are the cities no customers live in?
SQL query sequence:
SELECT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id
SELECT DISTINCT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id
SELECT city FROM addresses WHERE city NOT IN ( SELECT DISTINCT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id)
Final question: What are the cities no customers live in?
Final SQL: SELECT city FROM addresses WHERE city NOT IN ( SELECT DISTINCT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id)
Database: customers_and_addresses
Question sequence:
List all the cities customers live in.
Group by cities and count how many customers live there.
Which city has the most customers?
SQL query sequence:
SELECT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id
SELECT count(*) FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id GROUP BY t3.city
SELECT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id GROUP BY t3.city ORDER BY count(*) DESC LIMIT 1
Final question: Find the city where the most customers live.
Final SQL: SELECT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id GROUP BY t3.city ORDER BY count(*) DESC LIMIT 1
Database: customers_and_addresses
Question sequence:
List all the addresses.
What is the list of distinct cities?
SQL query sequence:
SELECT * FROM addresses
SELECT DISTINCT city FROM addresses
Final question: List all the distinct cities
Final SQL: SELECT DISTINCT city FROM addresses
Database: customers_and_addresses
Question sequence:
Find the address with post code 255.
Which city is this address in?
SQL query sequence:
SELECT * FROM addresses WHERE zip_postcode  =  255
SELECT city FROM addresses WHERE zip_postcode  =  255
Final question: Which city is post code 255 located in?
Final SQL: SELECT city FROM addresses WHERE zip_postcode  =  255
Database: customers_and_addresses
Question sequence:
Find the address with post code starting with 4.
What are the state and country of these addresses?
SQL query sequence:
SELECT * FROM addresses WHERE zip_postcode LIKE "4%"
SELECT state_province_county ,  country FROM addresses WHERE zip_postcode LIKE "4%"
Final question: What are the state and country of all the cities that have post codes starting with 4.\
Final SQL: SELECT state_province_county ,  country FROM addresses WHERE zip_postcode LIKE "4%"
Database: customers_and_addresses
Question sequence:
Group all the addresses by the country.
Which countries have more than four addresses listed?
SQL query sequence:
SELECT * FROM addresses GROUP BY country
SELECT country FROM addresses GROUP BY country HAVING count(address_id)  >  4
Final question: For which countries are there more than four distinct addresses listed?
Final SQL: SELECT country FROM addresses GROUP BY country HAVING count(address_id)  >  4
Database: customers_and_addresses
Question sequence:
List all the contact channel codes.
For each contact channel code, return how many times it was used.
Which contact channel codes were used less than 5 times?
SQL query sequence:
SELECT channel_code FROM customer_contact_channels
SELECT count(customer_id) FROM customer_contact_channels GROUP BY channel_code
SELECT channel_code FROM customer_contact_channels GROUP BY channel_code HAVING count(customer_id)  <  5
Final question: Which contact channel codes were used less than 5 times?
Final SQL: SELECT channel_code FROM customer_contact_channels GROUP BY channel_code HAVING count(customer_id)  <  5
Database: customers_and_addresses
Question sequence:
Find the customer whose name is "Tillman Ernser".
What are the channel codes used by this person?
SQL query sequence:
SELECT * FROM customers WHERE customer_name  =  "Tillman Ernser"
SELECT DISTINCT channel_code FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id  =  t2.customer_id WHERE t1.customer_name  =  "Tillman Ernser"
Final question: Find the contact channel code that was used by the customer named "Tillman Ernser".
Final SQL: SELECT DISTINCT channel_code FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id  =  t2.customer_id WHERE t1.customer_name  =  "Tillman Ernser"
Database: customers_and_addresses
Question sequence:
What is the "active to date" for each customer?
What is the latest "active to date" for each customer?
Find that information for the customer named "Tillman Ernser".
SQL query sequence:
SELECT active_to_date FROM customer_contact_channels
SELECT max(active_to_date) FROM customer_contact_channels GROUP BY customer_id
SELECT max(t2.active_to_date) FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id  =  t2.customer_id WHERE t1.customer_name  =  "Tillman Ernser"
Final question: Return the the "active to date" of the latest contact channel used by the customer named "Tillman Ernser".
Final SQL: SELECT max(t2.active_to_date) FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id  =  t2.customer_id WHERE t1.customer_name  =  "Tillman Ernser"
Database: customers_and_addresses
Question sequence:
For each contact channel, find when it started and ended being active.
What is the time span between the starting date and ending date?
What is the average across all the channels?
SQL query sequence:
SELECT active_to_date ,  active_from_date FROM customer_contact_channels
SELECT active_to_date - active_from_date FROM customer_contact_channels
SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels
Final question: Compute the average active time span of contact channels.
Final SQL: SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels
Database: customers_and_addresses
Question sequence:
Tell me the active duration for each customer contact channel.
Among them, what is the longest active duration?
What is the channel code and contact number of the customer contact channel whose active duration was the longest
SQL query sequence:
SELECT active_to_date - active_from_date FROM customer_contact_channels
SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1
SELECT channel_code ,  contact_number FROM customer_contact_channels WHERE active_to_date - active_from_date  =  (SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1)
Final question: Return the channel code and contact number of the customer contact channel whose active duration was the longest.
Final SQL: SELECT channel_code ,  contact_number FROM customer_contact_channels WHERE active_to_date - active_from_date  =  (SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1)
Database: customers_and_addresses
Question sequence:
Which customers use email as the contact channel?
What are the dates these customers became active?
What are the name and active date of these customers?
SQL query sequence:
SELECT * FROM customer_contact_channels WHERE channel_code  =  'Email'
SELECT active_from_date FROM customer_contact_channels WHERE channel_code  =  'Email'
SELECT t1.customer_name ,  t2.active_from_date FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id  =  t2.customer_id WHERE t2.channel_code  =  'Email'
Final question: What are the name and active date of the customers whose contact channel code is email?
Final SQL: SELECT t1.customer_name ,  t2.active_from_date FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id  =  t2.customer_id WHERE t2.channel_code  =  'Email'
Database: customers_and_addresses
Question sequence:
What is the largest order quantity listed in the database?
What is the name of the customer who made that order?
SQL query sequence:
SELECT max(order_quantity) FROM order_items
SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id WHERE t3.order_quantity  =  ( SELECT max(order_quantity) FROM order_items)
Final question: Find the name of the customer who made the order of the largest amount of goods.
Final SQL: SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id WHERE t3.order_quantity  =  ( SELECT max(order_quantity) FROM order_items)
Database: customers_and_addresses
Question sequence:
Tell me the customer name for each order.
What is the total quantity ordered by each customer?
Give me the name of the customer who ordered the largest quantity in total.
SQL query sequence:
SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id
SELECT sum(t3.order_quantity) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id GROUP BY t1.customer_name
SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) DESC LIMIT 1
Final question: Give me the name of the customer who ordered the most items in total.
Final SQL: SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) DESC LIMIT 1
Database: customers_and_addresses
Question sequence:
What is the total quantity ordered by each customer?
Return the customer who ordered the least quantity in total.
What is that customer's payment method?
SQL query sequence:
SELECT sum(t3.order_quantity) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id GROUP BY t1.customer_name
SELECT * FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) LIMIT 1
SELECT t1.payment_method FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) LIMIT 1
Final question: Tell me the payment method used by the customer who ordered the least amount of goods in total.
Final SQL: SELECT t1.payment_method FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) LIMIT 1
Database: customers_and_addresses
Question sequence:
Find the id of the product ordered in each order.
What are the ids of products ordered by the customer named Rodrick Heaney?
How many distinct products has he bought?
SQL query sequence:
SELECT product_id FROM order_items
SELECT product_id FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id WHERE t1.customer_name  =  "Rodrick Heaney"
SELECT count(DISTINCT product_id) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id WHERE t1.customer_name  =  "Rodrick Heaney"
Final question: Find the number of distinct products Rodrick Heaney has bought so far.
Final SQL: SELECT count(DISTINCT product_id) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id WHERE t1.customer_name  =  "Rodrick Heaney"
Database: customers_and_addresses
Question sequence:
Find the id of product ordered in each order.
What are the ids of products ordered by the customer named Rodrick Heaney?
What is the total quantity of products bought by him?
SQL query sequence:
SELECT product_id FROM order_items
SELECT product_id FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id WHERE t1.customer_name  =  "Rodrick Heaney"
SELECT sum(t3.order_quantity) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id WHERE t1.customer_name  =  "Rodrick Heaney"
Final question: Tell me the total quantity of products bought by the customer called "Rodrick Heaney".
Final SQL: SELECT sum(t3.order_quantity) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id WHERE t1.customer_name  =  "Rodrick Heaney"
Database: customers_and_addresses
Question sequence:
Which customer order have cancelled status?
How many customers have cancelled status?
SQL query sequence:
SELECT * FROM customer_orders WHERE order_status  =  "Cancelled"
SELECT count(DISTINCT customer_id) FROM customer_orders WHERE order_status  =  "Cancelled"
Final question: Return the number of customers who have at least one order with "Cancelled" status.
Final SQL: SELECT count(DISTINCT customer_id) FROM customer_orders WHERE order_status  =  "Cancelled"
Database: customers_and_addresses
Question sequence:
Which customer orders have "Second time" as order detail?
How many?
SQL query sequence:
SELECT * FROM customer_orders WHERE order_details  =  "Second time"
SELECT count(*) FROM customer_orders WHERE order_details  =  "Second time"
Final question: Tell me the number of orders with "Second time" as order detail.
Final SQL: SELECT count(*) FROM customer_orders WHERE order_details  =  "Second time"
Database: customers_and_addresses
Question sequence:
Find all the customer orders whose status is "Delivered".
What are the customer name and date for those orders?
SQL query sequence:
SELECT * FROM customer_orders WHERE order_status  =  "Delivered"
SELECT t1.customer_name ,  t2.order_date FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id WHERE order_status  =  "Delivered"
Final question: What are the customer name and date of the orders whose status is "Delivered".
Final SQL: SELECT t1.customer_name ,  t2.order_date FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id WHERE order_status  =  "Delivered"
Database: customers_and_addresses
Question sequence:
List all the customer orders in the "Cancelled" status.
Find the order quantity for these orders.
Find the total quantity of products associated with those orders.
SQL query sequence:
SELECT * FROM customer_orders WHERE order_status  =  "Cancelled"
SELECT t2.order_quantity FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id  =  t2.order_id WHERE t1.order_status  =  "Cancelled"
SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id  =  t2.order_id WHERE t1.order_status  =  "Cancelled"
Final question: Find the total quantity of products associated with the orders in the "Cancelled" status.
Final SQL: SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id  =  t2.order_id WHERE t1.order_status  =  "Cancelled"
Database: customers_and_addresses
Question sequence:
Find all the customer orders that made before 2018-03-17 07:13:53.
Compute the total quantity of items purchased in this order.
SQL query sequence:
SELECT * FROM customer_orders WHERE order_date  <  '2018-03-17 07:13:53'
SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id  =  t2.order_id WHERE t1.order_date  <  '2018-03-17 07:13:53'
Final question: What is the total amount of products purchased before 2018-03-17 07:13:53?
Final SQL: SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id  =  t2.order_id WHERE t1.order_date  <  '2018-03-17 07:13:53'
Database: customers_and_addresses
Question sequence:
Order all the customer orders by the descending order date.
What is the most recent order?
Who made that order?
SQL query sequence:
SELECT * FROM customer_orders ORDER BY order_date DESC
SELECT * FROM customer_orders ORDER BY order_date DESC LIMIT 1
SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id ORDER BY t2.order_date DESC LIMIT 1
Final question: Find the name of the customer who made an order most recently.
Final SQL: SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id ORDER BY t2.order_date DESC LIMIT 1
Database: customers_and_addresses
Question sequence:
Count the number of times each product is ordered.
What is the most frequently ordered product?
Tell me the detail of the product.
SQL query sequence:
SELECT count(*) FROM order_items GROUP BY product_id
SELECT * FROM order_items GROUP BY product_id ORDER BY count(*) DESC LIMIT 1
SELECT t2.product_details FROM order_items AS t1 JOIN products AS t2 ON t1.product_id  =  t2.product_id GROUP BY t1.product_id ORDER BY count(*) DESC LIMIT 1
Final question: What is the most frequently ordered product? Tell me the detail of the product
Final SQL: SELECT t2.product_details FROM order_items AS t1 JOIN products AS t2 ON t1.product_id  =  t2.product_id GROUP BY t1.product_id ORDER BY count(*) DESC LIMIT 1
Database: customers_and_addresses
Question sequence:
Find the total quantity order for each product.
What is the id of the product whose total order quantity is the largest?
What are the name and ID of that product?
SQL query sequence:
SELECT sum(order_quantity) FROM order_items GROUP BY product_id
SELECT product_id FROM order_items GROUP BY product_id ORDER BY sum(order_quantity) LIMIT 1
SELECT t2.product_details ,  t2.product_id FROM order_items AS t1 JOIN products AS t2 ON t1.product_id  =  t2.product_id GROUP BY t1.product_id ORDER BY t1.order_quantity LIMIT 1
Final question: What are the name and ID of the product bought the most.
Final SQL: SELECT t2.product_details ,  t2.product_id FROM order_items AS t1 JOIN products AS t2 ON t1.product_id  =  t2.product_id GROUP BY t1.product_id ORDER BY sum(t1.order_quantity) LIMIT 1
Database: customers_and_addresses
Question sequence:
List all addresses in East Julianaside, Texas.
List all addresses in Gleasonmouth, Arizona.
List all addresses in either of them.
SQL query sequence:
SELECT address_content FROM addresses WHERE city  =  "East Julianaside" AND state_province_county  =  "Texas"
SELECT address_content FROM addresses WHERE city  =  "Gleasonmouth" AND state_province_county  =  "Arizona"
SELECT address_content FROM addresses WHERE city  =  "East Julianaside" AND state_province_county  =  "Texas" UNION SELECT address_content FROM addresses WHERE city  =  "Gleasonmouth" AND state_province_county  =  "Arizona"
Final question: What are all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.
Final SQL: SELECT address_content FROM addresses WHERE city  =  "East Julianaside" AND state_province_county  =  "Texas" UNION SELECT address_content FROM addresses WHERE city  =  "Gleasonmouth" AND state_province_county  =  "Arizona"