input stringlengths 358 16.1k | output stringlengths 24 805 |
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[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T3.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T4.closing_time > '9PM' AND T1.category_name LIKE 'Pets'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id INNER JOIN Days AS T5 ON T4.day_id = T5.day_id WHERE T5.day_of_week L... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(*) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Active Life' AND T3.city = 'Phoenix'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T2.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name LIKE 'Men''s Clothing' AND T3.stars < 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT DISTINCT T1.business_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.active LIKE 'FALSE' AND T1.review_votes_useful LIKE 'Low'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Long' AND T3.category_id BETWEEN 1 AND 20 GROUP BY T... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T1.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T4.category_name LIKE 'Fashion' AND T1.city LIKE 'Scottsdale'... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.number_of_compliments) FROM Users_Compliments AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city LIKE 'Phoenix' AND T1.number_of_compliments LIKE 'Medium'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T3.city LIKE 'Tempe' AND T4.opening_time < '8AM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.category_name) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T3.city LIKE 'Glendale' AND T4.opening_time LIKE '8AM' AND T4... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS "num" , CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.city) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_i... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT SUM(CASE WHEN T2.category_name LIKE 'Active Life' THEN 1 ELSE 0 END) AS "num" , CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / ( SELECT COUNT(T3.review_count) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON ... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Phoenix' AND active LIKE 'TRUE'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale' AND stars > 3; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT CAST(SUM(stars) AS REAL) / COUNT(business_id) AS "average" FROM Business WHERE active LIKE 'FALSE'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T2.attribute_value LIKE 'beer_and_wine' AND T1.state LIKE 'AZ'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.city FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T2.attribute_value LIKE 'full_bar' GROUP BY T1.city; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.stars = 5 AND T3.category_name LIKE 'Fashion'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.city FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.review_count LIKE 'High' AND T3.category_name LIKE 'Food' GROUP BY T1.city; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Mesa' AND T2.review_stars > 3 GROUP BY T1.business_id; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.city FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_votes_funny LIKE 'low' GROUP BY T1.city; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT CAST(SUM(CASE WHEN T1.stars = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "percentage" FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.city LIKE 'Chan... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2012 AND user_votes_funny LIKE 'High'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT review_votes_useful FROM Reviews WHERE user_id = 52592 AND business_id = 2; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT attribute_id FROM Attributes WHERE attribute_name LIKE '%payment%'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT review_length FROM Reviews WHERE user_id = 612 AND review_stars = 5 AND business_id = 2; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Gilbert' AND active LIKE 'True'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND review_count LIKE 'Low'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT DISTINCT T2.business_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' AND T1.review_stars = 5 LIMIT 3; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.attribute_name FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'none' LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T2.compliment_type) FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.user_id = 33 AND T2.compliment_type LIKE 'cool'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.closing_time - T1.opening_time AS "opening hours" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Friday' AND T1.business_id = 53; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.attribute_name FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T2.business_id = 56; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T2.category_name FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.business_id = 15; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city LIKE 'Scottsdale' AND T1.category_name LIKE 'Beauty & Spas'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.user_id FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.number_of_compliments LIKE 'Uber' AND T2.compliment_type LIKE 'cute' LIMIT 2; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.stars > 3 AND T1.category_name LIKE 'Accessories'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T2.closing_time - T2.opening_time AS "hour" FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.business_id = 12 AND T1.city LIKE 'Scottsdale' AND T2.day_id = 3; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Checkins AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.label_time_4 LIKE 'None' AND T1.state LIKE 'AZ' AND T3.day_of_week LIKE 'Thursday'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'True'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale' AND stars > 3; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT city FROM Business ORDER BY review_count DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND stars > 4; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT city FROM Business WHERE stars = 5 GROUP BY city; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(review_length) FROM Reviews WHERE user_id = 3; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(review_length) FROM Reviews WHERE user_id = 3 AND review_length LIKE 'Long'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(review_length) FROM Reviews WHERE user_id = 3 AND review_length LIKE 'Long' AND review_votes_useful LIKE 'Medium'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2012; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT user_id FROM Users WHERE user_fans LIKE 'High' GROUP BY user_id; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.attribute_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Alcohol' AND T2.attribute_value LIKE 'none'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'Alcohol' AND T2.attribute_value LIKE 'none' AND T3.state LIKE 'AZ'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T2.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Good for Kids' AND T2.attribute_value LIKE 'TRUE'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Shopping'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.business_id = 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Tips AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Food' AND T3.active LIKE 'TRUE'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name LIKE 'Food' AND T3.city LIKE 'Anthem'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T2.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name LIKE 'Food' ORDER BY T3.stars DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T3.stars) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Attributes AS T4 ON T3.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T2.business_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' AND T1.user_id = 3; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.state LIKE 'AZ' GROUP BY T1.category_name; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.closing_time - T1.opening_time AS "opening hours" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Tuesday' AND T1.business_id = 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Tuesday' AND T1.business_id = 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Monday' AND T1.closing_time > '8PM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.day_of_week LIKE 'Monday' AND T3.city LIKE 'Anthem' AND T3.active LIKE 'True' GROUP BY T1.opening_time; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.day_of_week LIKE 'Sunday' AND T1.closing_time LIKE '12PM' AND T3.state LIKE 'AZ'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T4.category_name FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business_Categories AS T3 ON T1.business_id = T3.business_id INNER JOIN Categories AS T4 ON T4.category_id = T4.category_id WHERE T1.closing_time = '12PM' AND T2.day_of_week = 'Sunday' GROUP BY T4.category_name; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business_Attributes AS T3 ON T1.business_id = T3.business_id INNER JOIN Attributes AS T4 ON T4.attribute_id = T4.attribute_id WHERE T2.day_id IN (1, 2, 3, 4, 5, 6, 7) AND T4.attribute_name = 'Good for Kids' ... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = T2.year_id; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.closing_time + 12 - T1.opening_time AS "hour" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id INNER JOIN Business_Categories AS T4 ON T3.business_id = T4.business_id INNER JOIN Categories AS T5 ON T4.category_id = T5.categor... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.business_id FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T1.closing_time + 12 - T1.opening_time > 12 AND T2.day_of_week LIKE 'Sunday' GROUP BY T1.business_id; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id INNER JOIN Reviews AS T3 ON T1.user_id = T3.user_id WHERE T3.business_id = 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T4.user_id) FROM ( SELECT T1.user_id FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id INNER JOIN Reviews AS T3 ON T1.user_id = T3.user_id WHERE T3.user_id IS NOT NULL GROUP BY T3.user_id HAVING COUNT(T3.user_id) > 10 ) T4; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.user_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' GROUP BY T1.user_id ORDER BY COUNT(T1.user_id) DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT AVG(T2.review_stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Anthem'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT AVG(T2.review_stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state LIKE 'AZ' AND T2.user_id = 3; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.closing_time + 12 - T1.opening_time AS "avg opening hours" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.business_id = 1 AND (T2.day_of_week = 'Sunday' OR T2.day_of_week = 'Sunday'); |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT CAST(SUM(T3.stars) AS REAL) / COUNT(T1.business_id) AS "average stars" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.day_of_week LIKE 'Sunday' AND T1.closing_time LIKE '12PM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(city) FROM Business WHERE city LIKE 'Casa Grande'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'True' AND review_count LIKE 'low'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT business_id FROM Business WHERE city LIKE 'Mesa' AND stars BETWEEN 2 AND 3; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year BETWEEN 2011 AND 2013 AND user_fans LIKE 'High'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT review_length FROM Reviews WHERE user_id = 35026 AND business_id = 2; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT DISTINCT T3.attribute_id, T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.attribute_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.review_count = 'Low' AND T1.city = 'Chandler'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.stars < 4 AND T3.category_name LIKE 'Mexican'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.business_id, T1.stars FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T3.category_name LIKE 'Fashion'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id ORDER BY T1.stars DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Medium' AND T2.business_id BETWEEN 6 AND 9 ORDER BY ... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | 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'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T2.closing_time, T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Tempe' ORDER BY T1.stars DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T3.category_name, T5.attribute_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id INNER JOIN Business_Attributes AS T4 ON T1.business_id = T4.business_id INNER JOIN Attributes ... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T1.state LIKE 'AZ' AND T1.city LIKE 'Surprise' GROUP BY T3.category_name; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time LIKE '9PM' AND T2.opening_time LIKE '8AM' AND T3.day_of_week LIKE 'Friday' GROUP BY T1.city; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T2.attribute_value 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.state LIKE 'AZ' AND T1.review_count LIKE 'High' AND T1.active LIKE 'TRUE' AND T1.city LIKE 'Mesa' AND T1.stars = 3; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT DISTINCT T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Chandler' AND T1.active LIKE 'TRUE' AND T1.review_count LIKE 'Medium'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT CAST(SUM(CASE WHEN T1.stars < 4 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.stars) AS "percentage" FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T3.category_name LIKE 'A... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT T2.closing_time, T3.day_of_week FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Tempe' AND T1.active LIKE 'TRUE' AND T1.stars > 0.7 * ( SELECT AVG(T1.stars) FROM Business AS T1 INNER JOIN Business_Hours AS T... |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Phoenix' AND active LIKE 'True'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
... | SELECT COUNT(business_id) FROM Business WHERE review_count LIKE 'High'; |
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