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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: How many businesses ID sell beer and wine? [/INST] | SELECT COUNT(business_id) FROM Business_Attributes WHERE attribute_id = 1 AND attribute_value = 'beer_and_wine'; |
[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 attributes ID owned by business ID 2? [/INST] | SELECT COUNT(attribute_id) FROM Business_Attributes WHERE 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 users received high compliment type in photo? [/INST] | SELECT COUNT(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 'High' AND T2.compliment_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 businesses in Phoenix, Arizona is attributed to waiter service? [/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 T1.city LIKE 'Phoenix' AND T3.attribute_name LIKE 'waiter_service' AND T2.attribute_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: Find out which business is opened for 24/7 and list out what is the business attribute. [/INST] | SELECT T5.attribute_name 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_Attributes AS T4 ON T3.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE T2.day_id LIKE '1' AND '2' AND '3' AND '4' AND '5' AND '6' AND '7' AND T1.opening_time = T1.closing_time GROUP BY T5.attribute_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: Which business in fashion category has the most review? [/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 Reviews AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Fashion' AND T1.category_id = 7 GROUP BY T3.business_id ORDER BY COUNT(T4.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: List out which business category that are most likely to have average good review in Arizona? [/INST] | SELECT DISTINCT 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 T2.state LIKE 'AZ' AND T1.review_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 ratio of having the best to worse elite user in 2013? [/INST] | SELECT CAST(SUM(CASE WHEN T1.user_average_stars = 1 THEN 1 ELSE 0 END) AS REAL) / COUNT(T2.user_id) , SUM(CASE WHEN T1.user_average_stars = 5 THEN 1 ELSE 0 END) * 1.0 / COUNT(T2.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T2.year_id = 2013; |
[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: Calculate the increment percentage of elite user for each year since year 2005. [/INST] | SELECT CAST(COUNT(CASE WHEN year_id < 2014 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(CASE WHEN year_id = 2005 THEN 1.0 ELSE NULL END) AS increment FROM Elite; |
[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 business have been reviewed by user ID 3 and how long have this user been with Yelp? [/INST] | SELECT COUNT(T1.business_id) , strftime('%Y', 'now') - T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE 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: What is the yearly average review done by user ID 3? [/INST] | SELECT COUNT(review_stars) / (strftime('%Y', 'now') - T1.user_yelping_since_year) FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE 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: What is the average number of review received by each business given that the user is an elite? [/INST] | SELECT CAST(COUNT(T1.user_id) AS REAL) / COUNT(DISTINCT T1.business_id) FROM Reviews AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.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: List out the user who is an elite user for consecutively 5 years or more and what is the user average star? How many likes does this user gets? [/INST] | SELECT T2.user_average_stars, COUNT(T3.likes) FROM Elite AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id INNER JOIN Tips AS T3 ON T3.user_id = T2.user_id GROUP BY T1.user_id HAVING COUNT(T1.user_id) > 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: Find out which hotel and travel business having the most review? Calculate the standard deviation of the review star for this business. [/INST] | SELECT T2.category_id FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Reviews AS T3 ON T3.business_id = T1.business_id WHERE T2.category_name = 'Hotels & Travel' GROUP BY T2.category_id ORDER BY COUNT(T2.category_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: What is the correlation between the review starts and business stars? [/INST] | SELECT CAST(SUM(T2.review_stars) AS REAL) / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.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 of the businesses are active? [/INST] | SELECT COUNT(business_id) FROM Business WHERE 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: List down the business ID with a low review count in Phoenix. [/INST] | SELECT business_id FROM Business WHERE city LIKE 'Phoenix' 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: What is the total number of active business in AZ with a high review count? [/INST] | SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND review_count LIKE 'High' 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: List down the business ID with a star range from 3 to 4, located at Tempe. [/INST] | SELECT business_id FROM Business WHERE city LIKE 'Tempe' AND stars BETWEEN 3 AND 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: In users yelping since 2010 to 2012, how many of them has an low fans? [/INST] | SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year BETWEEN 2010 AND 2012 AND user_fans 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: What is the review length of user 60776 to business with business ID 1? [/INST] | SELECT review_length FROM Reviews WHERE user_id = 60776 AND 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 businesses in Scottsdale, list the attribute of the business with a high review count. [/INST] | SELECT T3.attribute_name 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.review_count LIKE 'High' AND T1.city LIKE 'Scottsdale' GROUP BY T3.attribute_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: In businesses with a category of automotive, how many of them has an star rating below 3? [/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 T3.category_name LIKE 'Automotive' 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: List the active business ID and its stars of the businesses fall under the category of Pets. [/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 '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: What is the attribute of the business with highest star rating? [/INST] | SELECT T3.attribute_name 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 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 short review length and highest review stars within business ID from 5 t0 10? [/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 'Short' AND T2.business_id BETWEEN 5 AND 10 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 Wi-Fi with medium 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 'Wi-Fi' 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: What is the closing and opening time of businesses located at Gilbert 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 'Gilbert' 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 Mesa, AZ, list the category and attributes of business with a low review count. [/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 WHERE T1.review_count = 'Low' AND T1.city = 'Mesa' AND T1.active = 'true' AND T1.state = '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: List the categories of inactive businesses in 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 'FALSE' 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: Find the location of businesses that has business hours from 9 am to 9 pm every Saturday. [/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 '9AM' AND T3.day_of_week LIKE 'Saturday' 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 inactive business with a medium review count and 3.5 stars which is located at Phoenix, 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 'Medium' AND T1.active LIKE 'FALSE' AND T1.city LIKE 'Phoenix' AND T1.stars = 3.5; |
[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: What is the opening time of the active businesses in Surprise that has a low review count. [/INST] | SELECT 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 'Surprise' AND T1.active LIKE 'TRUE' AND T1.review_count LIKE 'Low' GROUP BY T2.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 businesses with a category of Local Services, what is the percentage of the business with less than 3 stars? [/INST] | SELECT CAST(SUM(CASE WHEN T1.stars < 3 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 'Local Services'; |
[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 Scottsdale with stars greater than the 60% 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 'Scottsdale' AND T1.active LIKE 'TRUE' AND T1.stars > 0.6 * ( 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 'Scottsdale' 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 users have no followers in 2014? [/INST] | SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2004 AND user_fans 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: List at least 5 users that has received less than 5 low compliments from
other users. [/INST] | SELECT user_id FROM Users_Compliments WHERE number_of_compliments LIKE 'Low' GROUP BY user_id ORDER BY COUNT(number_of_compliments) > 5 LIMIT 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: List at least 10 users ID that has 4 as an average ratings of all reviews sent. [/INST] | SELECT COUNT(user_id) FROM Users WHERE user_average_stars = 4 LIMIT 10; |
[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 city does the business have a business hour from 10 am to 12 pm on Sunday? [/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.opening_time LIKE '10AM' AND T2.closing_time LIKE '12PM' AND T3.day_of_week LIKE '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: How many businesses are opened for 24 hours? [/INST] | SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T1.attribute_name LIKE 'Open 24 Hours'; |
[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 at least 5 active business ID that are good for groups and dancing. [/INST] | SELECT 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 T2.attribute_value LIKE 'TRUE' AND T1.attribute_name LIKE 'Good for Dancing' AND T1.attribute_name LIKE 'Good for Groups' LIMIT 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: Among the active businesses in Ahwatukee, which of them are still open in Sunday? [/INST] | SELECT T1.business_id 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 'Ahwatukee' AND T1.active LIKE 'TRUE' AND T3.day_of_week LIKE '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: List the categories of all active businesses that were not in Arizona. [/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 NOT 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: List the category of the business with high review count but received 2 stars. [/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.stars = 2 AND T1.review_count 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: How many businesses have a romantic ambiance? [/INST] | SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value = 'true' AND T1.attribute_name = 'ambience_romantic'; |
[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 city of the business where they open from 1 pm to 6 pm on Saturday. [/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 '6PM' AND T2.opening_time LIKE '1PM' AND T3.day_of_week LIKE 'Saturday'; |
[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 fans or followers who received most likes of their comments in the business? [/INST] | SELECT COUNT(T1.user_fans) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id ORDER BY COUNT(T2.likes) 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 city does the business came from where they received a high volume of check-ins from 12 am to 1 am on Saturday. [/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 = '1AM' AND T2.opening_time = '12AM' AND T3.day_of_week = 'Saturday'; |
[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 have shopping centers and received high review count? [/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 T1.category_name = 'Shopping Centers' AND T3.review_count = '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: How many businesses accept insurance? [/INST] | SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_name = 'Accepts Insurance' AND T1.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: Calculate the average review star from users in businesses located in South Carolina and California state. [/INST] | SELECT 1.0 * (( SELECT SUM(T1.stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state = 'SC' ) + ( SELECT SUM(T1.stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state = 'CA' )) / ( SELECT SUM(T1.stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id ) AS reslut; |
[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: Compare and get the difference of the number of businesses that are open in Monday and Tuesday from 10 am to 9 pm. [/INST] | SELECT SUM(CASE WHEN T3.day_of_week = 'Monday' THEN 1 ELSE 0 END) - SUM(CASE WHEN T3.day_of_week = 'Tuesday' THEN 1 ELSE 0 END) AS DIFF 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.opening_time = '10AM' AND T2.closing_time = '9PM'; |
[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: State the ID number for the attribute named "Accepts Insurance"? [/INST] | SELECT attribute_id FROM Attributes WHERE attribute_name = 'Accepts Insurance'; |
[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 actively running Yelp businesses are there located in "Phoenix" city? [/INST] | SELECT COUNT(business_id) FROM Business WHERE active = 'true' AND 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: Give the number of "4" stars Yelp businesses in "Mesa" city. [/INST] | SELECT COUNT(business_id) FROM Business WHERE stars = 4 AND city = 'Mesa'; |
[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 number of Yelp businesses in "Gilbert" which got a" high" review count. [/INST] | SELECT COUNT(business_id) FROM Business WHERE review_count = 'High' AND city = 'Gilbert'; |
[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 actively running Yelp business in "Gilbert" has got the most reviews? Give the business id. [/INST] | SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.active = 'true' AND T1.city = 'Gilbert' AND T1.review_count = 'Uber'; |
[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: For the Yelp business in "Tempe" city which got "3.5" stars and review count as "Uber", how many "long" reviews did it get? [/INST] | SELECT COUNT(T2.review_length) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Tempe' AND T1.stars = '3.5' AND T1.review_count = 'Uber' AND T2.review_length = '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: How is the "noise level" for the only Yelp business in “Mesa” which got a "Uber" review count? [/INST] | SELECT T3.attribute_name 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.city = 'Mesa' AND T1.review_count = 'Uber' AND T3.attribute_name = 'Noise Level'; |
[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: Is the Yelp business No. 14033 good for supper? [/INST] | SELECT T1.attribute_value FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_name = 'good_for_dinner' AND T1.business_id = 14033; |
[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 is the Yelp business No. 15098 opened on Monday? [/INST] | SELECT SUBSTR(T1.closing_time, 1, 2) + 12 - SUBSTR(T1.opening_time, 1, 2) AS YYSJ FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week = 'Monday' AND T1.business_id = 15098; |
[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: For the Yelp businesses which received a "5" star review with "uber" number of votes for funny, which one is located in "Phoenix"? Give the business ID. [/INST] | SELECT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Phoenix' AND T2.review_stars = 5 AND T2.review_votes_funny = 'Uber'; |
[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 is the business that got a "medium" length tip with "3" likes located in? [/INST] | SELECT T1.city FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.tip_length = 'Medium' AND T2.likes = 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: For the user who joined Yelp in "2010", with an average of "4.5" stars review and has got uber number of fans, how many "funny" compliments has he/she received from other users? [/INST] | SELECT COUNT(T2.user_id) FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id WHERE T1.user_yelping_since_year = 2010 AND T1.user_average_stars = 4.5 AND T1.user_fans = 'Uber' AND T3.compliment_type = 'funny'; |
[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" type compliments does user No. 41717 get? [/INST] | SELECT COUNT(T2.number_of_compliments) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'cool' AND T2.user_id = 41717; |
[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: Does Yelp business No."11825" have a "parking lot"? [/INST] | SELECT T1.attribute_value FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.business_id = 11825 AND T2.attribute_name = 'parking_lot'; |
[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: Is the payment in mastercard possible for the Yelp business No."12476"? [/INST] | SELECT T1.attribute_value FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.business_id = 12476 AND T2.attribute_name = 'payment_types_mastercard'; |
[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 percentage for the Yelp businesses in "Pets" category of all businesses? [/INST] | SELECT CAST(SUM(CASE WHEN T2.category_name = 'Pets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.category_name) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_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 times is the number of "Women's Clothing" Yelp businesses to "Men's Clothing"? [/INST] | SELECT CAST(SUM(CASE WHEN T2.category_name = 'Women''s Clothing' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.category_name = 'Men''s Clothing' THEN 1 ELSE 0 END) AS TIMES FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_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: Write down the ID, active status and city of the business which are in CA state. [/INST] | SELECT business_id, active, city FROM Business WHERE state = 'CA' AND active = '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: Calculate the percentage of running business among all business. [/INST] | SELECT CAST(SUM(CASE WHEN active = 'true' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(business_id) FROM Business; |
[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 all attribute names, list down the ID and attribute name which start with "music". [/INST] | SELECT attribute_id, attribute_name FROM Attributes WHERE attribute_name LIKE 'music%'; |
[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: Between 2006 and 2007, which year ID had the greater number in elite user? [/INST] | SELECT year_id FROM Elite WHERE year_id IN (2006, 2007) GROUP BY year_id ORDER BY COUNT(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: Based on all user compliments, find the percentage of low number of compliments on all compliments ID. [/INST] | SELECT CAST(SUM(CASE WHEN number_of_compliments = 'Low' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(user_id) FROM Users_compliments; |
[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 and user ID who got uber for cool votes. [/INST] | SELECT business_id, user_id FROM Reviews WHERE review_votes_cool = 'Uber'; |
[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: Write the user ID, business ID and tips length of who started using Yelp since 2004 and had high followers. [/INST] | SELECT T1.user_id, T2.business_id, T2.tip_length FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004 AND T1.user_fans = '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: Among the review votes of funny and cool hit uber with long review length, describe the business ID, active status, user ID and user year of joining Yelp. [/INST] | SELECT T1.business_id, T1.active, T3.user_id, T3.user_yelping_since_year FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T2.review_votes_cool = 'Uber' AND T2.review_votes_funny = 'Uber' AND T2.review_length = '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: Under the attribute name of "music_playlist", describe the attribute ID, business ID, city and inactive status. [/INST] | SELECT T1.attribute_id, T2.business_id, T3.city 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 = 'music_playlist' AND T3.active = '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: Calculate the percentage of business with attribute name of "Accepts Credit Cards". [/INST] | SELECT CAST(SUM(CASE WHEN T1.attribute_name = 'Accepts Credit Cards' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.attribute_name) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_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: Among the stopped businesses in San Tan Valley city, list down the user ID and review length of who had great experience. [/INST] | SELECT T2.user_id, T2.review_length FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'San Tan Valley' AND T1.active = 'false' AND T2.review_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: Mention the user average star, elite year and the compliment type of user ID 6027 whereby number of compliments reach uber. [/INST] | SELECT T2.user_average_stars, T1.year_id, T4.compliment_type, T3.number_of_compliments FROM Elite AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id INNER JOIN Users_Compliments AS T3 ON T2.user_id = T3.user_id INNER JOIN Compliments AS T4 ON T3.compliment_id = T4.compliment_id INNER JOIN Years AS T5 ON T1.year_id = T5.year_id WHERE T3.number_of_compliments = 'Uber' AND T3.user_id = 6027; |
[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 the category name of "Coffee & Tea", mention any 5 business ID , their state and city. [/INST] | SELECT T2.business_id, T3.state, T3.city 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 = 'Coffee & Tea' LIMIT 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: Describe category name which had above 10% in comparing with all business and categories. [/INST] | SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id GROUP BY T2.category_id HAVING COUNT(T2.business_id) > ( SELECT COUNT(T3.business_id) FROM Business_Categories AS T3 ) * 0.1; |
[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: For the business with great experience existed in Sun Lakes city, provide the user ID who gave review on it and user followers. [/INST] | SELECT T3.user_id, T3.user_fans FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.city = 'Sun Lakes' AND T1.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: Compare the number of business between the category of "Men's Clothing" and "Women's Clothing". [/INST] | SELECT SUM(CASE WHEN T1.category_name = 'Men''s Clothing' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name = 'Women''s Clothing' THEN 1 ELSE 0 END) AS diff FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_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: Among highest quality user of under ID 100, mention compliment type which got highest compliment number and user's followers. [/INST] | SELECT T1.compliment_type, T3.user_fans FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T2.number_of_compliments = 'Uber' AND T2.user_id < 100; |
[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 all the businesses that closed at 8PM. [/INST] | SELECT DISTINCT business_id FROM Business_Hours WHERE 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: How many 2 stars rated business located in Phoenix, Arizona? [/INST] | SELECT COUNT(business_id) FROM Business WHERE city = 'Phoenix' AND state = 'AZ' AND stars = 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 in Tempe are rated as 'Wonderful experience? [/INST] | SELECT COUNT(business_id) FROM Business WHERE city = 'Phoenix' 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: List all the users with average star less than 3 stars in 2012 [/INST] | SELECT user_id FROM Users WHERE user_yelping_since_year = 2012 AND user_average_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: Find the percentage of 5 stars rated business. [/INST] | SELECT CAST(SUM(CASE WHEN stars = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(stars) FROM Business; |
[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: Calculate difference between business that have the highest number of reviews and business that have the lowest number of reviews. [/INST] | SELECT ( SELECT COUNT(business_id) FROM Reviews GROUP BY business_id ORDER BY COUNT(business_id) DESC LIMIT 1 ) - ( SELECT COUNT(business_id) FROM Reviews GROUP BY business_id ORDER BY COUNT(business_id) ASC LIMIT 1 ) AS DIFF; |
[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 all the tires businesses that are opened everyday. [/INST] | SELECT DISTINCT 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 WHERE T1.category_name = 'Tires' GROUP BY T2.business_id HAVING COUNT(day_id) = 7; |
[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 users become an elite in 2012? [/INST] | SELECT DISTINCT T1.user_id FROM Elite AS T1 INNER JOIN Years AS T2 ON T1.year_id = T2.year_id WHERE T2.actual_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: List the business ID of shopping business that have 4 stars ratings. [/INST] | SELECT T1.business_id 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 WHERE T3.category_name = 'Shopping' AND T1.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 business have low check-in on Sunday at 10AM? [/INST] | SELECT COUNT(T2.business_id) FROM Days AS T1 INNER JOIN Checkins AS T2 ON T1.day_id = T2.day_id WHERE T1.day_of_week = 'Sunday' AND T2.label_time_10 = '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: How many businesses in Glendale are reviewed by user with the ID of 20241? [/INST] | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Glendale' AND T2.user_id = 20241; |
[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: State the locations of all Pet Services business. [/INST] | SELECT T1.city 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 WHERE T3.category_name = 'Pet Services'; |
[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 photos type compliment given from users with high cool votes? [/INST] | SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id INNER JOIN Reviews AS T4 ON T1.user_id = T4.user_id WHERE T3.compliment_type = 'photos' AND T4.review_votes_cool = '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: How many closed businesses that have more than 10 attributes? [/INST] | SELECT COUNT(*) FROM Business WHERE business_id IN ( SELECT T1.business_id FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T1.active = 'false' GROUP BY T1.business_id HAVING COUNT(DISTINCT T2.attribute_id) > 10 ); |
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