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Show the game name that has most number of hours played. | SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid GROUP BY T1.gameid ORDER BY SUM(hours_played) DESC LIMIT 1 | CREATE TABLE Plays_games (gameid VARCHAR); CREATE TABLE Video_games (gameid VARCHAR) | [
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Show all game names played by at least 1000 hours. | SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid GROUP BY T1.gameid HAVING SUM(hours_played) >= 1000 | CREATE TABLE Plays_games (gameid VARCHAR); CREATE TABLE Video_games (gameid VARCHAR) | [
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Show all game names played by Linda Smith | SELECT Gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid JOIN Student AS T3 ON T3.Stuid = T1.Stuid WHERE T3.Lname = "Smith" AND T3.Fname = "Linda" | CREATE TABLE Student (Stuid VARCHAR, Lname VARCHAR, Fname VARCHAR); CREATE TABLE Plays_games (gameid VARCHAR, Stuid VARCHAR); CREATE TABLE Video_games (gameid VARCHAR) | [
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Find the last and first name of students who are playing Football or Lacrosse. | SELECT T2.lname, T2.fname FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.SportName = "Football" OR T1.SportName = "Lacrosse" | CREATE TABLE SportsInfo (StuID VARCHAR, SportName VARCHAR); CREATE TABLE Student (lname VARCHAR, fname VARCHAR, StuID VARCHAR) | [
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Find the last name and gender of the students who are playing both Call of Destiny and Works of Widenius games. | SELECT lname, sex FROM Student WHERE StuID IN (SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Call of Destiny" INTERSECT SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Works of Widenius") | CREATE TABLE Plays_games (StuID VARCHAR, GameID VARCHAR); CREATE TABLE Student (lname VARCHAR, sex VARCHAR, StuID VARCHAR); CREATE TABLE Video_games (GameID VARCHAR, Gname VARCHAR) | [
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Find the name of all customers. | SELECT customer_name FROM customers | CREATE TABLE customers (customer_name VARCHAR) | [
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What are the names of customers who use payment method "Cash"? | SELECT customer_name FROM customers WHERE payment_method = "Cash" | CREATE TABLE customers (customer_name VARCHAR, payment_method VARCHAR) | [
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Find the "date became customers" of the customers whose ID is between 10 and 20. | SELECT date_became_customer FROM customers WHERE customer_id BETWEEN 10 AND 20 | CREATE TABLE customers (date_became_customer VARCHAR, customer_id INTEGER) | [
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Which payment method is used by most customers? | SELECT payment_method FROM customers GROUP BY payment_method ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE customers (payment_method VARCHAR) | [
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What are the details of all products? | SELECT DISTINCT product_details FROM products | CREATE TABLE products (product_details VARCHAR) | [
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Find the detail of products whose detail contains the word "Latte" or the word "Americano" | SELECT product_details FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%" | CREATE TABLE products (product_details VARCHAR) | [
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What is the address content of the customer named "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" | CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE customer_addresses (customer_id VARCHAR, address_id VARCHAR); CREATE TABLE addresses (address_content VARCHAR, address_id VARCHAR) | [
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How many customers are living in 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" | CREATE TABLE customers (customer_id VARCHAR); CREATE TABLE addresses (address_id VARCHAR, city VARCHAR); CREATE TABLE customer_addresses (customer_id VARCHAR, address_id VARCHAR) | [
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Find the name of customers who are living in 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" | CREATE TABLE customer_addresses (customer_id VARCHAR, address_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE addresses (address_id VARCHAR, state_province_county VARCHAR) | [
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Find the list of cities that no customer is living in. | SELECT city FROM addresses WHERE NOT city 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) | CREATE TABLE customers (customer_id VARCHAR); CREATE TABLE addresses (city VARCHAR, address_id VARCHAR); CREATE TABLE customer_addresses (customer_id VARCHAR, address_id VARCHAR); CREATE TABLE addresses (city VARCHAR) | [
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Which city has the most customers living in? | 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 | CREATE TABLE customers (customer_id VARCHAR); CREATE TABLE addresses (city VARCHAR, address_id VARCHAR); CREATE TABLE customer_addresses (customer_id VARCHAR, address_id VARCHAR) | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Find the state and country of all cities with post code starting with 4. | SELECT state_province_county, country FROM addresses WHERE zip_postcode LIKE "4%" | CREATE TABLE addresses (state_province_county VARCHAR, country VARCHAR, zip_postcode VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
7181,
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5540,
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4280,
28027,
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538,
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1081,
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] |
List the countries having more than 4 addresses listed. | SELECT country FROM addresses GROUP BY country HAVING COUNT(address_id) > 4 | CREATE TABLE addresses (country VARCHAR, address_id VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
7181,
41,
17529,
584,
4280,
28027,
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1115,
834,
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26,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
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Which contact channel has been used by the customer with 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" | CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE customer_contact_channels (customer_id VARCHAR) | [
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What is the average time span of contact channels in the database? | SELECT AVG(active_to_date - active_from_date) FROM customer_contact_channels | CREATE TABLE customer_contact_channels (active_to_date VARCHAR, active_from_date VARCHAR) | [
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What is the channel code and contact number of the customer contact channel that was active for the longest time? | 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) | CREATE TABLE customer_contact_channels (channel_code VARCHAR, contact_number VARCHAR, active_to_date VARCHAR, active_from_date VARCHAR) | [
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Find the name and active date of the customer that use email as the contact channel. | 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' | CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customer_contact_channels (active_from_date VARCHAR, customer_id VARCHAR, channel_code VARCHAR) | [
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What is the name of the customer that made the order with the largest quantity? | 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) | CREATE TABLE order_items (order_id VARCHAR, order_quantity INTEGER); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE order_items (order_quantity INTEGER); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR) | [
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What is the payment method of the customer that has purchased the least quantity of items? | 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 | CREATE TABLE order_items (order_id VARCHAR, order_quantity INTEGER); CREATE TABLE customers (payment_method VARCHAR, customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR) | [
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How many types of products have Rodrick Heaney bought in total? | SELECT COUNT(DISTINCT t3.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" | CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE order_items (product_id VARCHAR, order_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR) | [
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What is the total quantity of products purchased by "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" | CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE order_items (order_quantity INTEGER, order_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR) | [
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How many customers have at least one order with status "Cancelled"? | SELECT COUNT(DISTINCT customer_id) FROM customer_orders WHERE order_status = "Cancelled" | CREATE TABLE customer_orders (customer_id VARCHAR, order_status VARCHAR) | [
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Find the customer name and date of the orders that have the 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" | CREATE TABLE customer_orders (order_date VARCHAR, customer_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR) | [
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Find the total amount of products ordered before 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" | CREATE TABLE customer_orders (order_id VARCHAR, order_date INTEGER); CREATE TABLE order_items (order_quantity INTEGER, order_id VARCHAR) | [
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Who made the latest order? | 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 | CREATE TABLE customer_orders (customer_id VARCHAR, order_date VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR) | [
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Find the name and ID of the product whose total order quantity is the largest. | 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 | CREATE TABLE order_items (product_id VARCHAR, order_quantity INTEGER); CREATE TABLE products (product_details VARCHAR, product_id VARCHAR) | [
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Find all the addresses in East Julianaside, Texas or in Gleasonmouth, 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" | CREATE TABLE addresses (address_content VARCHAR, city VARCHAR, state_province_county VARCHAR) | [
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Find the name of customers who did not pay with Cash. | SELECT customer_name FROM customers WHERE payment_method <> 'Cash' | CREATE TABLE customers (customer_name VARCHAR, payment_method VARCHAR) | [
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Find the names of customers who never ordered product Latte. | SELECT customer_name FROM customers EXCEPT 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 JOIN products AS t4 ON t3.product_id = t4.product_id WHERE t4.product_details = 'Latte' | CREATE TABLE order_items (order_id VARCHAR, product_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR); CREATE TABLE products (product_id VARCHAR, product_details VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR) | [
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Find the names of customers who never placed an order. | SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id | CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR) | [
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List the age of all music artists. | SELECT Age FROM artist | CREATE TABLE artist (Age VARCHAR) | [
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What is the average age of all artists? | SELECT AVG(Age) FROM artist | CREATE TABLE artist (Age INTEGER) | [
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What are the famous titles of the artist "Triumfall"? | SELECT Famous_Title FROM artist WHERE Artist = "Triumfall" | CREATE TABLE artist (Famous_Title VARCHAR, Artist VARCHAR) | [
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What are the distinct Famous release dates? | SELECT DISTINCT (Famous_Release_date) FROM artist | CREATE TABLE artist (Famous_Release_date VARCHAR) | [
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Return the dates of ceremony and the results of all music festivals | SELECT Date_of_ceremony, RESULT FROM music_festival | CREATE TABLE music_festival (Date_of_ceremony VARCHAR, RESULT VARCHAR) | [
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What are the category of music festivals with result "Awarded"? | SELECT Category FROM music_festival WHERE RESULT = "Awarded" | CREATE TABLE music_festival (Category VARCHAR, RESULT VARCHAR) | [
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What are the maximum and minimum week on top of all volumes? | SELECT MAX(Weeks_on_Top), MIN(Weeks_on_Top) FROM volume | CREATE TABLE volume (Weeks_on_Top INTEGER) | [
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What are the songs in volumes with more than 1 week on top? | SELECT Song FROM volume WHERE Weeks_on_Top > 1 | CREATE TABLE volume (Song VARCHAR, Weeks_on_Top INTEGER) | [
32100,
32106,
32105,
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] |
Please list all songs in volumes in ascending alphabetical order. | SELECT Song FROM volume ORDER BY Song | CREATE TABLE volume (Song VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
2908,
41,
134,
2444,
584,
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How many distinct artists do the volumes associate to? | SELECT COUNT(DISTINCT Artist_ID) FROM volume | CREATE TABLE volume (Artist_ID VARCHAR) | [
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Please show the date of ceremony of the volumes that last more than 2 weeks on top. | SELECT T1.Date_of_ceremony FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T2.Weeks_on_Top > 2 | CREATE TABLE music_festival (Date_of_ceremony VARCHAR, Volume VARCHAR); CREATE TABLE volume (Volume_ID VARCHAR, Weeks_on_Top INTEGER) | [
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Please show the songs that have result "nominated" at music festivals. | SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated" | CREATE TABLE volume (Song VARCHAR, Volume_ID VARCHAR); CREATE TABLE music_festival (Volume VARCHAR, Result VARCHAR) | [
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What are the issue dates of volumes associated with the artist "Gorgoroth"? | SELECT T2.Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.Artist = "Gorgoroth" | CREATE TABLE artist (Artist_ID VARCHAR, Artist VARCHAR); CREATE TABLE volume (Issue_Date VARCHAR, Artist_ID VARCHAR) | [
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What are the songs in volumes associated with the artist aged 32 or older? | SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32 | CREATE TABLE volume (Song VARCHAR, Artist_ID VARCHAR); CREATE TABLE artist (Artist_ID VARCHAR, age VARCHAR) | [
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What is the average weeks on top of volumes associated with the artist aged 25 or younger? | SELECT AVG(T2.Weeks_on_Top) FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 25 | CREATE TABLE volume (Weeks_on_Top INTEGER, Artist_ID VARCHAR); CREATE TABLE artist (Artist_ID VARCHAR, age VARCHAR) | [
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What are the famous title of the artists associated with volumes with more than 2 weeks on top? | SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2 | CREATE TABLE artist (Famous_Title VARCHAR, Artist_ID VARCHAR); CREATE TABLE volume (Artist_ID VARCHAR, Weeks_on_Top INTEGER) | [
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Please list the age and famous title of artists in descending order of age. | SELECT Famous_Title, Age FROM artist ORDER BY Age DESC | CREATE TABLE artist (Famous_Title VARCHAR, Age VARCHAR) | [
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What is the famous release date of the artist with the oldest age? | SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1 | CREATE TABLE artist (Famous_Release_date VARCHAR, Age VARCHAR) | [
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What is the song in the volume with the maximum weeks on top? | SELECT Song FROM volume ORDER BY Weeks_on_Top DESC LIMIT 1 | CREATE TABLE volume (Song VARCHAR, Weeks_on_Top VARCHAR) | [
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Find the famous titles of artists that do not have any volume. | SELECT Famous_Title FROM artist WHERE NOT Artist_ID IN (SELECT Artist_ID FROM volume) | CREATE TABLE volume (Famous_Title VARCHAR, Artist_ID VARCHAR); CREATE TABLE artist (Famous_Title VARCHAR, Artist_ID VARCHAR) | [
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What are the date of ceremony of music festivals with category "Best Song" and result "Awarded"? | SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded" | CREATE TABLE music_festival (Date_of_ceremony VARCHAR, Category VARCHAR, RESULT VARCHAR) | [
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What is the issue date of the volume with the minimum weeks on top? | SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top LIMIT 1 | CREATE TABLE volume (Issue_Date VARCHAR, Weeks_on_Top VARCHAR) | [
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Please show the results of music festivals and the number of music festivals that have had each, ordered by this count. | SELECT RESULT, COUNT(*) FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC | CREATE TABLE music_festival (RESULT VARCHAR) | [
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What are the issue dates of volumes associated with the artist aged 23 or younger? | SELECT Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 23 | CREATE TABLE volume (Artist_ID VARCHAR); CREATE TABLE artist (Artist_ID VARCHAR, age VARCHAR) | [
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List the names of roller coasters by ascending order of length. | SELECT Name FROM roller_coaster ORDER BY LENGTH | CREATE TABLE roller_coaster (Name VARCHAR, LENGTH VARCHAR) | [
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What are the lengths and heights of roller coasters? | SELECT LENGTH, Height FROM roller_coaster | CREATE TABLE roller_coaster (LENGTH VARCHAR, Height VARCHAR) | [
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32106,
32105,
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17098,
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Show the statuses of roller coasters longer than 3300 or higher than 100. | SELECT Status FROM roller_coaster WHERE LENGTH > 3300 OR Height > 100 | CREATE TABLE roller_coaster (Status VARCHAR, LENGTH VARCHAR, Height VARCHAR) | [
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What are the speeds of the longest roller coaster? | SELECT Speed FROM roller_coaster ORDER BY LENGTH DESC LIMIT 1 | CREATE TABLE roller_coaster (Speed VARCHAR, LENGTH VARCHAR) | [
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32105,
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6048,
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] |
What is the average speed of roller coasters? | SELECT AVG(Speed) FROM roller_coaster | CREATE TABLE roller_coaster (Speed INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
10866,
834,
25500,
49,
41,
28328,
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17966,
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Please show the most common status of roller coasters. | SELECT Status FROM roller_coaster GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE roller_coaster (Status VARCHAR) | [
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List the status shared by more than two roller coaster. | SELECT Status FROM roller_coaster GROUP BY Status HAVING COUNT(*) > 2 | CREATE TABLE roller_coaster (Status VARCHAR) | [
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Show the park of the roller coaster with the highest speed. | SELECT Park FROM roller_coaster ORDER BY Speed DESC LIMIT 1 | CREATE TABLE roller_coaster (Park VARCHAR, Speed VARCHAR) | [
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Show the names of roller coasters and names of country they are in. | SELECT T2.Name, T1.Name FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID | CREATE TABLE country (Name VARCHAR, Country_ID VARCHAR); CREATE TABLE roller_coaster (Name VARCHAR, Country_ID VARCHAR) | [
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Show the name and population of the country that has the highest roller coaster. | SELECT T1.Name, T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID ORDER BY T2.Height DESC LIMIT 1 | CREATE TABLE roller_coaster (Country_ID VARCHAR, Height VARCHAR); CREATE TABLE country (Name VARCHAR, population VARCHAR, Country_ID VARCHAR) | [
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Show the names of countries and the average speed of roller coasters from each country. | SELECT T1.Name, AVG(T2.Speed) FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID GROUP BY T1.Name | CREATE TABLE roller_coaster (Speed INTEGER, Country_ID VARCHAR); CREATE TABLE country (Name VARCHAR, Country_ID VARCHAR) | [
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What are the country names, area and population which has both roller coasters with speed higher | SELECT T1.name, T1.area, T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID WHERE T2.speed > 60 INTERSECT SELECT T1.name, T1.area, T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID WHERE T2.speed < 55 | CREATE TABLE country (name VARCHAR, area VARCHAR, population VARCHAR, Country_ID VARCHAR); CREATE TABLE roller_coaster (Country_ID VARCHAR, speed INTEGER) | [
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How many captains with younger than 50 are in each rank? | SELECT COUNT(*), rank FROM captain WHERE age < 50 GROUP BY rank | CREATE TABLE captain (rank VARCHAR, age INTEGER) | [
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Find the name, class and rank of all captains. | SELECT name, CLASS, rank FROM captain | CREATE TABLE captain (name VARCHAR, CLASS VARCHAR, rank VARCHAR) | [
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Which classes have more than two captains? | SELECT CLASS FROM captain GROUP BY CLASS HAVING COUNT(*) > 2 | CREATE TABLE captain (CLASS VARCHAR) | [
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Find the name of captains whose rank are either Midshipman or Lieutenant. | SELECT name FROM captain WHERE rank = 'Midshipman' OR rank = 'Lieutenant' | CREATE TABLE captain (name VARCHAR, rank VARCHAR) | [
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