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stringlengths 358
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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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Provide name of businesses whose category is pets and are still opened after 9PM. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses with the category are open from Monday to Thursday? [/INST] | 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 LIKE 'Monday' OR T5.day_of_week LIKE 'Tuesday' OR T5.day_of_week LIKE 'Wednesday' OR T5.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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please indicate the review count of the "active life" businesses in Phoenix. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the businesses name with a rating less than 5 whose category name is men's clothing. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which businesses are no longer in business but have a low number of votes useful? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the businesses names whose length of user review is long with business id from 1 to 20. [/INST] | 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 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please provide the attribute values of the bussinesses with fashion in Scottsdale. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many compliments received from medium users that Phoenix city achieved? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Provide the businesses name in Tempe city whose opening hours are earlier than 8AM. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses in Glendale city that are still running is opened from 8AM to 6PM? [/INST] | 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.closing_time LIKE '6PM'; |
[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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses are there in Phoenix city? Find the percentage of businesses in Phoenix city in the total city. [/INST] | 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_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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many cities have businesses with active life category? Find the percentage of the city where the review count that is low in total review count. [/INST] | 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 T1.business_id = T3.business_id WHERE T3.review_count LIKE 'Low' ) 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_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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many active businesses are there in Phoenix? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses in Scottsdale are rated as "wonderful experience"? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the average rating of inactive businesses? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses in AZ state have the beer_and_wine attribute? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which city has the most businesses whose attribute is full_bar? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses in the fashion industry are rated 5 stars? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which city has the highest number of businesses in the food industry whose number of reviews is high? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list all business IDs in Mesa city that review stars of over 3. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which city has the least number of businesses whose amount of funny votes is low? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What percentage of businesses are in the Real Estate sector and have the rating of 5 out of all businesses in Chandler? [/INST] | 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 'Chandler' AND T3.category_name LIKE 'Real Estate'; |
[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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many users who started yelping since 2012 have sent a high number of funny votes? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the number of useful votes that the user 52592 received when reviewed for business number 2? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What are the attribute numbers that are related to payment? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How long was the review for business number 2 that user number 612 wrote? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses are actively running in Gilbert City? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses in the AZ state got low quality of reviews? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please state any three business numbers in AZ state that have received the "Great experience" review stars. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please name one attribute that business number 2 does not have. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many "cool" compliments did user number 33 receive? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What are the opening hours of business number 53 on Friday? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What are the attributes that business number 56 have? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What are the categories that business number 15 belongs to? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses are there in Scottsdale city under the category of "Beauty & Spas"? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list any two user numbers that have an "Uber" number of cute compliments. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses operating in the "Accessories" category have received a "wonderful experience" review from users? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How long does business number 12 in Scottsdale stay open on day number 3? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses in AZ state do not open on Thursday? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses of Yelp are in Scottsdale? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the Yelp_Businesses in Arizona, how many of them are still running? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many Yelp_Businesses in Scottsdale have received positive comments in the Elitestar rating? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which city has more Yelp_Business that's more appealing to users, Scottsdale or Anthem? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many Yelp_Businesses in Arizona have a Elitestar rating of over 4? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many Yelp_Businesses are there in Arizona in total? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the cities of the Yelp_Businesses that have gotten a 5 in the Elitestar rating. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many reviews have the user whose ID is 3 posted? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many reviews made by user whose ID is 3 are long? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the long reviews made by user ID 3, how many of them have received a medium number of useful votes? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many users have joined Yelp since the year 2012? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the IDs of the users who have a high number of followers. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many Yelp_Businesses do not provide alcohol? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the Yelp_Businesses in Arizona, how many of them do not provide alcohol? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the business IDs of all the Yelp_Businesses that are good for kids. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many Yelp_Business falls under the category of "Shopping"? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Under which categories is Yelp_Business no. 1? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the Yelp_Businesses which are still running, how many of them fall under the category of "Food"? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many Yelp_Business in Anthem are under the category of "Food"? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the business ID of the Yelp_Business with the highest Elitestar rating under the category "Food". [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many Yelp_Business under the category of "Food" are good for kids? [/INST] | 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 T1.category_name LIKE 'Food' AND T5.attribute_name LIKE 'Good for Kids' AND T4.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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many Yelp_Business in Arizona has user no. 3 reviewed? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list all the categories of the Yelp_Business in Arizona. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How long does Yelp_Business no.1 open on Tuesdays? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: When does Yelp_Business no.1 open on Tuesdays? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many Yelp_Business close after 8PM on Mondays? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the opening time on Mondays of all the Yelp_Businesses in Anthem that are still running. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the Yelp_Business in Arizona, how many of them closes at 12PM on Sundays? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the categories of the Yelp_Business that closes at 12PM on Sundays. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many "Good for Kids" Yelp_Businesses are open everyday of the week? [/INST] | 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' AND T3.attribute_value = '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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many users became an elite user the same year they joined Yelp? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the longest business time on Mondays for a Yelp_Business under the category "Shopping"? [/INST] | 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.category_id WHERE T2.day_of_week LIKE 'Monday' AND T5.category_name LIKE 'Shopping' ORDER BY T1.closing_time + 12 - T1.opening_time 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the business IDs of the Yelp_Business that have a business time of longer than 12 hours on Sundays. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many elite users have reviewed Yelp_Business no.1? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the users who have posted more than 10 reviews, how many users are elite users? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which Yelp_Business in Arizona gets the most number of reviews? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many stars on average does a Yelp_Business in Anthem get from a user review? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many stars on average does user no.3 give to Yelp_Business in Arizona? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the average business time for Yelp_Business no.1 on weekends? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the average Elitestar rating for a Yelp_Business that closes at 12PM on Sundays? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many of the busineses are in Casa Grande? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the total number of active businesses in AZ with a low review count? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List down the business ID with a star range from 2 to 3, located at Mesa. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: In users yelping since 2011 to 2013, how many of them have high count of fans? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the review length of user 35026 to business with business ID 2? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the businesses in Chandler, list the attribute of the business with a low review count. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: In businesses with a category of mexican, how many of them has a star rating below 4? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List the active business ID and its stars of the businesses fall under the category of Fashion. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the category of businesses with highest star rating? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the category of the business with medium review length and highest review stars within business ID from 6 t0 9? [/INST] | 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 T1.review_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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Count the active businesses that has an attribute of caters with low review count. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the closing and opening time of businesses located at Tempe with highest star rating? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the active businesses located at Chandler, AZ, list the category and atrributes of business with a medium review count. [/INST] | 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 AS T5 ON T4.attribute_id = T5.attribute_id WHERE T1.active LIKE 'TRUE' AND T1.state LIKE 'AZ' AND T1.city LIKE 'Chandler' 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List the categories of active businesses in Surprise, AZ. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Find the location of businesses that have business hours from 8 am to 9 pm every Friday. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the attribute value of an active business with a high review count and 3 stars which is located at Mesa, AZ? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the opening time of the active businesses in Chandler that has a medium review count. [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the businesses with a category of Accessories, what is the percentage of the business with less than 4 stars? [/INST] | 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 '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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List the closing time and day of week of active businesses in Tempe with stars greater than the 70% of average age of star rating. [/INST] | 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 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' ); |
[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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many active businesses are located at Phoenix, Arizona? [/INST] | 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 ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses are with high review count? [/INST] | SELECT COUNT(business_id) FROM Business WHERE review_count LIKE 'High'; |
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