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###context:CREATE TABLE station (city VARCHAR, lat INTEGER)
###human: List all the cities in a decreasing order of each city's stations' highest latitude.
###assistant: SELECT city FROM station GROUP BY city ORDER BY MAX(lat) DESC |
###context:CREATE TABLE weather (date VARCHAR, cloud_cover VARCHAR)
###human: What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.
###assistant: SELECT date, cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5 |
###context:CREATE TABLE trip (id VARCHAR, duration VARCHAR)
###human: What are the ids and durations of the trips with the top 3 durations?
###assistant: SELECT id, duration FROM trip ORDER BY duration DESC LIMIT 3 |
###context:CREATE TABLE station (name VARCHAR, long VARCHAR, id VARCHAR); CREATE TABLE trip (duration INTEGER, start_station_id VARCHAR)
###human: For each station, return its longitude and the average duration of trips that started from the station.
###assistant: SELECT T1.name, T1.long, AVG(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id |
###context:CREATE TABLE trip (duration INTEGER, end_station_id VARCHAR); CREATE TABLE station (name VARCHAR, lat VARCHAR, id VARCHAR)
###human: For each station, find its latitude and the minimum duration of trips that ended at the station.
###assistant: SELECT T1.name, T1.lat, MIN(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id |
###context:CREATE TABLE trip (start_station_name VARCHAR, duration INTEGER)
###human: List all the distinct stations from which a trip of duration below 100 started.
###assistant: SELECT DISTINCT start_station_name FROM trip WHERE duration < 100 |
###context:CREATE TABLE weather (zip_code VARCHAR, max_dew_point_f VARCHAR)
###human: Find all the zip codes in which the max dew point have never reached 70.
###assistant: SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70 |
###context:CREATE TABLE trip (id VARCHAR, duration INTEGER, zip_code VARCHAR)
###human: Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.
###assistant: SELECT id FROM trip WHERE duration >= (SELECT AVG(duration) FROM trip WHERE zip_code = 94103) |
###context:CREATE TABLE weather (date VARCHAR, mean_sea_level_pressure_inches INTEGER)
###human: What are the dates in which the mean sea level pressure was between 30.3 and 31?
###assistant: SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31 |
###context:CREATE TABLE weather (date VARCHAR, max_temperature_f VARCHAR, min_temperature_f VARCHAR)
###human: Find the day in which the difference between the max temperature and min temperature was the smallest. Also report the difference.
###assistant: SELECT date, max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1 |
###context:CREATE TABLE station (id VARCHAR, name VARCHAR); CREATE TABLE status (station_id VARCHAR, bikes_available INTEGER)
###human: What are the id and name of the stations that have ever had more than 12 bikes available?
###assistant: SELECT DISTINCT T1.id, T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12 |
###context:CREATE TABLE weather (zip_code VARCHAR, mean_humidity INTEGER); CREATE TABLE trip (zip_code VARCHAR, mean_humidity INTEGER)
###human: Give me the zip code where the average mean humidity is below 70 and at least 100 trips took place.
###assistant: SELECT zip_code FROM weather GROUP BY zip_code HAVING AVG(mean_humidity) < 70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING COUNT(*) >= 100 |
###context:CREATE TABLE trip (name VARCHAR, end_station_name VARCHAR, city VARCHAR); CREATE TABLE station (name VARCHAR, end_station_name VARCHAR, city VARCHAR)
###human: What are the names of stations that are located in Palo Alto city but have never been the ending point of trips more than 100 times?
###assistant: SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING COUNT(*) > 100 |
###context:CREATE TABLE station (city VARCHAR, id VARCHAR); CREATE TABLE trip (end_station_id VARCHAR, id VARCHAR); CREATE TABLE station (id VARCHAR, city VARCHAR); CREATE TABLE trip (start_station_id VARCHAR, id VARCHAR)
###human: How many trips started from Mountain View city and ended at Palo Alto city?
###assistant: SELECT COUNT(*) FROM station AS T1 JOIN trip AS T2 JOIN station AS T3 JOIN trip AS T4 ON T1.id = T2.start_station_id AND T2.id = T4.id AND T3.id = T4.end_station_id WHERE T1.city = "Mountain View" AND T3.city = "Palo Alto" |
###context:CREATE TABLE trip (start_station_id VARCHAR); CREATE TABLE station (lat INTEGER, long INTEGER, id VARCHAR)
###human: What is the average latitude and longitude of the starting points of all trips?
###assistant: SELECT AVG(T1.lat), AVG(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id |
###context:CREATE TABLE book (Id VARCHAR)
###human: How many books are there?
###assistant: SELECT COUNT(*) FROM book |
###context:CREATE TABLE book (Writer VARCHAR)
###human: List the writers of the books in ascending alphabetical order.
###assistant: SELECT Writer FROM book ORDER BY Writer |
###context:CREATE TABLE book (Title VARCHAR, Issues VARCHAR)
###human: List the titles of the books in ascending order of issues.
###assistant: SELECT Title FROM book ORDER BY Issues |
###context:CREATE TABLE book (Title VARCHAR, Writer VARCHAR)
###human: What are the titles of the books whose writer is not "Elaine Lee"?
###assistant: SELECT Title FROM book WHERE Writer <> "Elaine Lee" |
###context:CREATE TABLE book (Title VARCHAR, Issues VARCHAR)
###human: What are the title and issues of the books?
###assistant: SELECT Title, Issues FROM book |
###context:CREATE TABLE publication (Publication_Date VARCHAR, Price VARCHAR)
###human: What are the dates of publications in descending order of price?
###assistant: SELECT Publication_Date FROM publication ORDER BY Price DESC |
###context:CREATE TABLE publication (Publisher VARCHAR, Price INTEGER)
###human: What are the distinct publishers of publications with price higher than 5000000?
###assistant: SELECT DISTINCT Publisher FROM publication WHERE Price > 5000000 |
###context:CREATE TABLE publication (Publisher VARCHAR, Price VARCHAR)
###human: List the publisher of the publication with the highest price.
###assistant: SELECT Publisher FROM publication ORDER BY Price DESC LIMIT 1 |
###context:CREATE TABLE publication (Publication_Date VARCHAR, Price VARCHAR)
###human: List the publication dates of publications with 3 lowest prices.
###assistant: SELECT Publication_Date FROM publication ORDER BY Price LIMIT 3 |
###context:CREATE TABLE book (Title VARCHAR, Book_ID VARCHAR); CREATE TABLE publication (Publication_Date VARCHAR, Book_ID VARCHAR)
###human: Show the title and publication dates of books.
###assistant: SELECT T1.Title, T2.Publication_Date FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID |
###context:CREATE TABLE publication (Book_ID VARCHAR, Price INTEGER); CREATE TABLE book (Writer VARCHAR, Book_ID VARCHAR)
###human: Show writers who have published a book with price more than 4000000.
###assistant: SELECT T1.Writer FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID WHERE T2.Price > 4000000 |
###context:CREATE TABLE publication (Book_ID VARCHAR, Price VARCHAR); CREATE TABLE book (Title VARCHAR, Book_ID VARCHAR)
###human: Show the titles of books in descending order of publication price.
###assistant: SELECT T1.Title FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID ORDER BY T2.Price DESC |
###context:CREATE TABLE publication (Publisher VARCHAR)
###human: Show publishers that have more than one publication.
###assistant: SELECT Publisher FROM publication GROUP BY Publisher HAVING COUNT(*) > 1 |
###context:CREATE TABLE publication (Publisher VARCHAR)
###human: Show different publishers together with the number of publications they have.
###assistant: SELECT Publisher, COUNT(*) FROM publication GROUP BY Publisher |
###context:CREATE TABLE publication (Publication_Date VARCHAR)
###human: Please show the most common publication date.
###assistant: SELECT Publication_Date FROM publication GROUP BY Publication_Date ORDER BY COUNT(*) DESC LIMIT 1 |
###context:CREATE TABLE book (Writer VARCHAR)
###human: List the writers who have written more than one book.
###assistant: SELECT Writer FROM book GROUP BY Writer HAVING COUNT(*) > 1 |
###context:CREATE TABLE book (Title VARCHAR, Book_ID VARCHAR); CREATE TABLE publication (Title VARCHAR, Book_ID VARCHAR)
###human: List the titles of books that are not published.
###assistant: SELECT Title FROM book WHERE NOT Book_ID IN (SELECT Book_ID FROM publication) |
###context:CREATE TABLE publication (Publisher VARCHAR, Price INTEGER)
###human: Show the publishers that have publications with price higher than 10000000 and publications with price lower than 5000000.
###assistant: SELECT Publisher FROM publication WHERE Price > 10000000 INTERSECT SELECT Publisher FROM publication WHERE Price < 5000000 |
###context:CREATE TABLE publication (Publication_Date VARCHAR)
###human: What is the number of distinct publication dates?
###assistant: SELECT COUNT(DISTINCT Publication_Date) FROM publication |
###context:CREATE TABLE publication (Price VARCHAR, Publisher VARCHAR)
###human: Show the prices of publications whose publisher is either "Person" or "Wiley"
###assistant: SELECT Price FROM publication WHERE Publisher = "Person" OR Publisher = "Wiley" |
###context:CREATE TABLE actor (Id VARCHAR)
###human: How many actors are there?
###assistant: SELECT COUNT(*) FROM actor |
###context:CREATE TABLE actor (Name VARCHAR)
###human: List the name of actors in ascending alphabetical order.
###assistant: SELECT Name FROM actor ORDER BY Name |
###context:CREATE TABLE actor (Character VARCHAR, Duration VARCHAR)
###human: What are the characters and duration of actors?
###assistant: SELECT Character, Duration FROM actor |
###context:CREATE TABLE actor (Name VARCHAR, Age VARCHAR)
###human: List the name of actors whose age is not 20.
###assistant: SELECT Name FROM actor WHERE Age <> 20 |
###context:CREATE TABLE actor (Character VARCHAR, age VARCHAR)
###human: What are the characters of actors in descending order of age?
###assistant: SELECT Character FROM actor ORDER BY age DESC |
###context:CREATE TABLE actor (Duration VARCHAR, Age VARCHAR)
###human: What is the duration of the oldest actor?
###assistant: SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1 |
###context:CREATE TABLE musical (Name VARCHAR, Nominee VARCHAR)
###human: What are the names of musicals with nominee "Bob Fosse"?
###assistant: SELECT Name FROM musical WHERE Nominee = "Bob Fosse" |
###context:CREATE TABLE musical (Nominee VARCHAR, Award VARCHAR)
###human: What are the distinct nominees of the musicals with the award that is not "Tony Award"?
###assistant: SELECT DISTINCT Nominee FROM musical WHERE Award <> "Tony Award" |
###context:CREATE TABLE actor (Name VARCHAR, Musical_ID VARCHAR); CREATE TABLE musical (Name VARCHAR, Musical_ID VARCHAR)
###human: Show names of actors and names of musicals they are in.
###assistant: SELECT T1.Name, T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID |
###context:CREATE TABLE actor (Name VARCHAR, Musical_ID VARCHAR); CREATE TABLE musical (Musical_ID VARCHAR, Name VARCHAR)
###human: Show names of actors that have appeared in musical with name "The Phantom of the Opera".
###assistant: SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID WHERE T2.Name = "The Phantom of the Opera" |
###context:CREATE TABLE musical (Musical_ID VARCHAR, Year VARCHAR); CREATE TABLE actor (Name VARCHAR, Musical_ID VARCHAR)
###human: Show names of actors in descending order of the year their musical is awarded.
###assistant: SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year DESC |
###context:CREATE TABLE actor (Musical_ID VARCHAR); CREATE TABLE musical (Name VARCHAR, Musical_ID VARCHAR)
###human: Show names of musicals and the number of actors who have appeared in the musicals.
###assistant: SELECT T2.Name, COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID |
###context:CREATE TABLE actor (Musical_ID VARCHAR); CREATE TABLE musical (Name VARCHAR, Musical_ID VARCHAR)
###human: Show names of musicals which have at least three actors.
###assistant: SELECT T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID HAVING COUNT(*) >= 3 |
###context:CREATE TABLE musical (Nominee VARCHAR)
###human: Show different nominees and the number of musicals they have been nominated.
###assistant: SELECT Nominee, COUNT(*) FROM musical GROUP BY Nominee |
###context:CREATE TABLE musical (Nominee VARCHAR)
###human: Please show the nominee who has been nominated the greatest number of times.
###assistant: SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1 |
###context:CREATE TABLE musical (RESULT VARCHAR)
###human: List the most common result of the musicals.
###assistant: SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1 |
###context:CREATE TABLE musical (Nominee VARCHAR)
###human: List the nominees that have been nominated more than two musicals.
###assistant: SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2 |
###context:CREATE TABLE actor (Name VARCHAR, Musical_ID VARCHAR); CREATE TABLE musical (Name VARCHAR, Musical_ID VARCHAR)
###human: List the name of musicals that do not have actors.
###assistant: SELECT Name FROM musical WHERE NOT Musical_ID IN (SELECT Musical_ID FROM actor) |
###context:CREATE TABLE musical (Nominee VARCHAR, Award VARCHAR)
###human: Show the nominees that have nominated musicals for both "Tony Award" and "Drama Desk Award".
###assistant: SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award" |
###context:CREATE TABLE musical (Nominee VARCHAR, Award VARCHAR)
###human: Show the musical nominee with award "Bob Fosse" or "Cleavant Derricks".
###assistant: SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks" |
###context:CREATE TABLE user_profiles (email VARCHAR, name VARCHAR)
###human: Find the emails of the user named "Mary".
###assistant: SELECT email FROM user_profiles WHERE name = 'Mary' |
###context:CREATE TABLE user_profiles (partitionid VARCHAR, name VARCHAR)
###human: What is the partition id of the user named "Iron Man".
###assistant: SELECT partitionid FROM user_profiles WHERE name = 'Iron Man' |
###context:CREATE TABLE user_profiles (Id VARCHAR)
###human: How many users are there?
###assistant: SELECT COUNT(*) FROM user_profiles |
###context:CREATE TABLE follows (Id VARCHAR)
###human: How many followers does each user have?
###assistant: SELECT COUNT(*) FROM follows |
###context:CREATE TABLE follows (f1 VARCHAR)
###human: Find the number of followers for each user.
###assistant: SELECT COUNT(*) FROM follows GROUP BY f1 |
###context:CREATE TABLE tweets (Id VARCHAR)
###human: Find the number of tweets in record.
###assistant: SELECT COUNT(*) FROM tweets |
###context:CREATE TABLE tweets (UID VARCHAR)
###human: Find the number of users who posted some tweets.
###assistant: SELECT COUNT(DISTINCT UID) FROM tweets |
###context:CREATE TABLE user_profiles (name VARCHAR, email VARCHAR)
###human: Find the name and email of the user whose name contains the word ‘Swift’.
###assistant: SELECT name, email FROM user_profiles WHERE name LIKE '%Swift%' |
###context:CREATE TABLE user_profiles (name VARCHAR, email VARCHAR)
###human: Find the names of users whose emails contain ‘superstar’ or ‘edu’.
###assistant: SELECT name FROM user_profiles WHERE email LIKE '%superstar%' OR email LIKE '%edu%' |
###context:CREATE TABLE tweets (text VARCHAR)
###human: Return the text of tweets about the topic 'intern'.
###assistant: SELECT text FROM tweets WHERE text LIKE '%intern%' |
###context:CREATE TABLE user_profiles (name VARCHAR, email VARCHAR, followers INTEGER)
###human: Find the name and email of the users who have more than 1000 followers.
###assistant: SELECT name, email FROM user_profiles WHERE followers > 1000 |
###context:CREATE TABLE follows (f1 VARCHAR); CREATE TABLE user_profiles (name VARCHAR, uid VARCHAR)
###human: Find the names of the users whose number of followers is greater than that of the user named "Tyler Swift".
###assistant: SELECT T1.name FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING COUNT(*) > (SELECT COUNT(*) FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 WHERE T1.name = 'Tyler Swift') |
###context:CREATE TABLE follows (f1 VARCHAR); CREATE TABLE user_profiles (name VARCHAR, email VARCHAR, uid VARCHAR)
###human: Find the name and email for the users who have more than one follower.
###assistant: SELECT T1.name, T1.email FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING COUNT(*) > 1 |
###context:CREATE TABLE tweets (uid VARCHAR); CREATE TABLE user_profiles (name VARCHAR, uid VARCHAR)
###human: Find the names of users who have more than one tweet.
###assistant: SELECT T1.name FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING COUNT(*) > 1 |
###context:CREATE TABLE follows (f1 VARCHAR, f2 VARCHAR); CREATE TABLE user_profiles (uid VARCHAR, name VARCHAR)
###human: Find the id of users who are followed by Mary and Susan.
###assistant: SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Mary" INTERSECT SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Susan" |
###context:CREATE TABLE follows (f1 VARCHAR, f2 VARCHAR); CREATE TABLE user_profiles (uid VARCHAR, name VARCHAR)
###human: Find the id of users who are followed by Mary or Susan.
###assistant: SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Mary" OR T1.name = "Susan" |
###context:CREATE TABLE user_profiles (name VARCHAR, followers VARCHAR)
###human: Find the name of the user who has the largest number of followers.
###assistant: SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 1 |
###context:CREATE TABLE user_profiles (name VARCHAR, email VARCHAR, followers VARCHAR)
###human: Find the name and email of the user followed by the least number of people.
###assistant: SELECT name, email FROM user_profiles ORDER BY followers LIMIT 1 |
###context:CREATE TABLE user_profiles (name VARCHAR, followers VARCHAR)
###human: List the name and number of followers for each user, and sort the results by the number of followers in descending order.
###assistant: SELECT name, followers FROM user_profiles ORDER BY followers DESC |
###context:CREATE TABLE user_profiles (name VARCHAR, followers VARCHAR)
###human: List the names of 5 users followed by the largest number of other users.
###assistant: SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 5 |
###context:CREATE TABLE tweets (text VARCHAR, createdate VARCHAR)
###human: List the text of all tweets in the order of date.
###assistant: SELECT text FROM tweets ORDER BY createdate |
###context:CREATE TABLE tweets (uid VARCHAR); CREATE TABLE user_profiles (name VARCHAR, uid VARCHAR)
###human: Find the name of each user and number of tweets tweeted by each of them.
###assistant: SELECT T1.name, COUNT(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid |
###context:CREATE TABLE user_profiles (name VARCHAR, partitionid VARCHAR, uid VARCHAR); CREATE TABLE tweets (uid VARCHAR)
###human: Find the name and partition id for users who tweeted less than twice.
###assistant: SELECT T1.name, T1.partitionid FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING COUNT(*) < 2 |
###context:CREATE TABLE tweets (uid VARCHAR); CREATE TABLE user_profiles (name VARCHAR, uid VARCHAR)
###human: Find the name of the user who tweeted more than once, and number of tweets tweeted by them.
###assistant: SELECT T1.name, COUNT(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING COUNT(*) > 1 |
###context:CREATE TABLE user_profiles (followers INTEGER, UID VARCHAR); CREATE TABLE tweets (followers INTEGER, UID VARCHAR)
###human: Find the average number of followers for the users who do not have any tweet.
###assistant: SELECT AVG(followers) FROM user_profiles WHERE NOT UID IN (SELECT UID FROM tweets) |
###context:CREATE TABLE user_profiles (followers INTEGER, UID VARCHAR); CREATE TABLE tweets (followers INTEGER, UID VARCHAR)
###human: Find the average number of followers for the users who had some tweets.
###assistant: SELECT AVG(followers) FROM user_profiles WHERE UID IN (SELECT UID FROM tweets) |
###context:CREATE TABLE user_profiles (followers INTEGER)
###human: Find the maximum and total number of followers of all users.
###assistant: SELECT MAX(followers), SUM(followers) FROM user_profiles |
###context:CREATE TABLE catalog_contents (catalog_entry_name VARCHAR)
###human: Find the names of all the catalog entries.
###assistant: SELECT DISTINCT (catalog_entry_name) FROM catalog_contents |
###context:CREATE TABLE Attribute_Definitions (attribute_data_type VARCHAR)
###human: Find the list of attribute data types possessed by more than 3 attribute definitions.
###assistant: SELECT attribute_data_type FROM Attribute_Definitions GROUP BY attribute_data_type HAVING COUNT(*) > 3 |
###context:CREATE TABLE Attribute_Definitions (attribute_data_type VARCHAR, attribute_name VARCHAR)
###human: What is the attribute data type of the attribute with name "Green"?
###assistant: SELECT attribute_data_type FROM Attribute_Definitions WHERE attribute_name = "Green" |
###context:CREATE TABLE Catalog_Structure (catalog_level_name VARCHAR, catalog_level_number INTEGER)
###human: Find the name and level of catalog structure with level between 5 and 10.
###assistant: SELECT catalog_level_name, catalog_level_number FROM Catalog_Structure WHERE catalog_level_number BETWEEN 5 AND 10 |
###context:CREATE TABLE catalogs (catalog_publisher VARCHAR)
###human: Find all the catalog publishers whose name contains "Murray"
###assistant: SELECT DISTINCT (catalog_publisher) FROM catalogs WHERE catalog_publisher LIKE "%Murray%" |
###context:CREATE TABLE catalogs (catalog_publisher VARCHAR)
###human: Which catalog publisher has published the most catalogs?
###assistant: SELECT catalog_publisher FROM catalogs GROUP BY catalog_publisher ORDER BY COUNT(*) DESC LIMIT 1 |
###context:CREATE TABLE catalogs (catalog_name VARCHAR, date_of_publication VARCHAR, catalog_id VARCHAR); CREATE TABLE catalog_structure (catalog_id VARCHAR)
###human: Find the names and publication dates of all catalogs that have catalog level number greater than 5.
###assistant: SELECT t1.catalog_name, t1.date_of_publication FROM catalogs AS t1 JOIN catalog_structure AS t2 ON t1.catalog_id = t2.catalog_id WHERE catalog_level_number > 5 |
###context:CREATE TABLE Catalog_Contents_Additional_Attributes (catalog_entry_id VARCHAR, attribute_value VARCHAR); CREATE TABLE Catalog_Contents (catalog_entry_name VARCHAR, catalog_entry_id VARCHAR); CREATE TABLE Catalog_Contents_Additional_Attributes (attribute_value VARCHAR)
###human: What are the entry names of catalog with the attribute possessed by most entries.
###assistant: SELECT t1.catalog_entry_name FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.attribute_value = (SELECT attribute_value FROM Catalog_Contents_Additional_Attributes GROUP BY attribute_value ORDER BY COUNT(*) DESC LIMIT 1) |
###context:CREATE TABLE catalog_contents (catalog_entry_name VARCHAR, price_in_dollars VARCHAR)
###human: What is the entry name of the most expensive catalog (in USD)?
###assistant: SELECT catalog_entry_name FROM catalog_contents ORDER BY price_in_dollars DESC LIMIT 1 |
###context:CREATE TABLE catalog_structure (catalog_level_name VARCHAR, catalog_level_number VARCHAR); CREATE TABLE catalog_contents (catalog_level_number VARCHAR, price_in_dollars VARCHAR)
###human: What is the level name of the cheapest catalog (in USD)?
###assistant: SELECT t2.catalog_level_name FROM catalog_contents AS t1 JOIN catalog_structure AS t2 ON t1.catalog_level_number = t2.catalog_level_number ORDER BY t1.price_in_dollars LIMIT 1 |
###context:CREATE TABLE catalog_contents (price_in_euros INTEGER)
###human: What are the average and minimum price (in Euro) of all products?
###assistant: SELECT AVG(price_in_euros), MIN(price_in_euros) FROM catalog_contents |
###context:CREATE TABLE catalog_contents (catalog_entry_name VARCHAR, height VARCHAR)
###human: What is the product with the highest height? Give me the catalog entry name.
###assistant: SELECT catalog_entry_name FROM catalog_contents ORDER BY height DESC LIMIT 1 |
###context:CREATE TABLE catalog_contents (catalog_entry_name VARCHAR, capacity VARCHAR)
###human: Find the name of the product that has the smallest capacity.
###assistant: SELECT catalog_entry_name FROM catalog_contents ORDER BY capacity LIMIT 1 |
###context:CREATE TABLE catalog_contents (catalog_entry_name VARCHAR, product_stock_number VARCHAR)
###human: Find the names of all the products whose stock number starts with "2".
###assistant: SELECT catalog_entry_name FROM catalog_contents WHERE product_stock_number LIKE "2%" |
###context:CREATE TABLE Catalog_Contents_Additional_Attributes (catalog_entry_id VARCHAR, catalog_level_number VARCHAR); CREATE TABLE Catalog_Contents (catalog_entry_name VARCHAR, catalog_entry_id VARCHAR)
###human: Find the names of catalog entries with level number 8.
###assistant: SELECT t1.catalog_entry_name FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8" |
###context:CREATE TABLE catalog_contents (catalog_entry_name VARCHAR, LENGTH VARCHAR, width VARCHAR)
###human: Find the names of the products with length smaller than 3 or height greater than 5.
###assistant: SELECT catalog_entry_name FROM catalog_contents WHERE LENGTH < 3 OR width > 5 |
###context:CREATE TABLE Catalog_Contents_Additional_Attributes (attribute_id VARCHAR, attribute_value VARCHAR); CREATE TABLE Attribute_Definitions (attribute_name VARCHAR, attribute_id VARCHAR)
###human: Find the name and attribute ID of the attribute definitions with attribute value 0.
###assistant: SELECT t1.attribute_name, t1.attribute_id FROM Attribute_Definitions AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.attribute_id = t2.attribute_id WHERE t2.attribute_value = 0 |
###context:CREATE TABLE Catalog_Contents (catalog_entry_name VARCHAR, capacity VARCHAR, price_in_dollars INTEGER)
###human: Find the name and capacity of products with price greater than 700 (in USD).
###assistant: SELECT catalog_entry_name, capacity FROM Catalog_Contents WHERE price_in_dollars > 700 |