Chinastark/bird_dataset huggingface dataset:
Database: college_completion
Question: How many 4-year public institutions are there in the state of Florida? Give all of their names.
Evidence: 4-year refers to level = '4-year'; public refers to control = 'Public'; names refers to chronname;
SQL: SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 WHERE T2.level = '4-year' AND T2.control = 'Public' AND T2.state = 'Florida'
Database: college_completion
Question: Between the Ivy League Schools, which school's state have the lowest sate appropriations to higher education in fiscal year 2011 per resident?
Evidence: Ivy League Schools refers to chronname = 'Brown University' or chronname = 'Columbia University' or chronname = 'Cornell University' or chronname = 'Dartmouth College' or chronname = 'Harvard University' or chronname = 'Princeton University' or chronname = 'University of Pennsylvania' or chronname = 'Yale University'; lowest state appropriations to higher education in fiscal year 2011 per resident refers to MIN(state_appr_value);
SQL: SELECT T1.state FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) GROUP BY T1.state ORDER BY SUM(T2.state_appr_value) ASC LIMIT 1
Database: college_completion
Question: In the state with the highest number of schools, how many institutions have a percentage of no less than 90 of undergraduates who attend full-time? List all of the institutions' names.
Evidence: highest number of schools refers to MAX(schools_count); percentage of no less than 90 of undergraduates who attend full-time refers to ft_pct > 90; institutions' names refers to chronname;
SQL: SELECT COUNT(t1.unitid), t1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON t1.state = t2.state WHERE t1.ft_pct > 90 ORDER BY t2.schools_count DESC LIMIT 1
Database: college_completion
Question: What is the average SAT value for incoming students in all of the schools located in the state with the lowest state appropriations to higher education in fiscal year 2011 per resident?
Evidence: average = DIVIDE(SUM(med_sat_value), SUM(chronname)); SAT value for incoming students refers to med_sat_value; lowest state appropriations to higher education in fiscal year 2011 per resident refers to MIN(state_appr_value);
SQL: SELECT AVG(t1.med_sat_value) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON t1.state = t2.state ORDER BY t2.state_appr_value LIMIT 1
Database: college_completion
Question: What is the name of the school with the highest number of first-time, full-time, degree-seeking female students in the cohort being tracked, minus any exclusions who were seeking another type of degree or certificate at a 4-year institution?
Evidence: name of the school refers to chronname; highest number of first-time, full-time, degree-seeking female students in the cohort being tracked, minus any exclusions refers to MAX(grad_cohort WHERE gender = 'F'); seeking another type of degree or certificate at a 4-year institution refers to cohort = '4y other';
SQL: SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.gender = 'F' AND T2.cohort = '4y other' ORDER BY T2.grad_cohort DESC LIMIT 1
Database: college_completion
Question: Among the Ivy League Schools in 2013, which schools have the highest number of Black students who graduated within 150 percent of normal/expected time who were seeking a bachelor's/equivalent cohort at 4-year institutions?
Evidence: Ivy League Schools refers to chronname = 'Brown University' or chronname = 'Columbia University' or chronname = 'Cornell University' or chronname = 'Dartmouth College' or chronname = 'Harvard University' or chronname = 'Princeton University' or chronname = 'University of Pennsylvania' or chronname = 'Yale University'; in 2013 refers to year = '2013'; highest number of Black students who graduated within 150 percent of normal/expected time refers to MAX(grad_150 WHERE race = 'B'); seeking a bachelor's/equivalent cohort at 4-year institutions refers to cohort = '4y bach';
SQL: SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) AND T2.year = 2013 AND T2.race = 'B' AND T2.cohort = '4y bach' ORDER BY T2.grad_cohort DESC LIMIT 1
Database: college_completion
Question: Between 2011 to 2013, what is the average number of male Hispanic degree-seeking students at 2-year institutions who graduated within 150 percent of normal/expected time in United Education Institute-Huntington Park Campus?
Evidence: between 2011 to 2013 refers to year BETWEEN '2011' AND '2013'; male refers to gender = 'M'; Hispanic refers to race = 'H'; number of degree-seeking students at 2-year institutions who graduated within 150 percent of normal/expected time refers to grad_150; United Education Institute-Huntington Park Campus refers to chronname = 'United Education Institute-Huntington Park Campus';
SQL: SELECT AVG(T2.grad_150) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'United Education Institute-Huntington Park Campus' AND T2.year BETWEEN 2011 AND 2013 AND T2.gender = 'M' AND T2.race = 'H'
Database: college_completion
Question: What is the name of the school with the highest difference in the average completion rate for the national in which it belongs? Indicate the state appropriations to higher education in fiscal year 2011 per resident to which the school belongs.
Evidence: name of the school refers to chronname; highest difference in the average completion rate for the national in which it belongs = MAX(SUBTRACT(awards_per_value, awards_per_natl_value)); state appropriations to higher education in fiscal year 2011 per resident to which the school belongs refers to state_appr_value;
SQL: SELECT T1.chronname, T2.state_appr_value FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state ORDER BY T1.awards_per_value - T2.awards_per_natl_value DESC LIMIT 1
Database: public_review_platform
Question: How many Yelp businesses are there in 'AZ' with less than "3" stars?
Evidence: AZ refers to state = 'AZ'; stars < 3;
SQL: SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND stars < 3
Database: public_review_platform
Question: What is the quantity of the closed or not running Yelp Businesses in 'AZ'?
Evidence: closed or not running refers to active = 'False'; AZ refers to state = 'AZ';
SQL: SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'False'
Database: public_review_platform
Question: How many long reviews does user No. 36139 give for the Yelp businesses?
Evidence: long reviews refers to review_length = 'long'; user No. refers to user_id;
SQL: SELECT COUNT(review_length) FROM Reviews WHERE user_id = 36139 AND review_length LIKE 'long'
Database: public_review_platform
Question: How many users have "uber" number of fans?
Evidence: uber number of fans refers to user_fans = 'uber';
SQL: SELECT COUNT(user_id) FROM Users WHERE user_fans LIKE 'Uber'
Database: public_review_platform
Question: How many Yelp businesses are opened 24 hours?
Evidence: open 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true';
SQL: SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Open 24 Hours' AND T2.attribute_value LIKE 'TRUE'
Database: public_review_platform
Question: What kind of "wi-fi" does Yelp business No."10172" have?
Evidence: kind of wi-fi refers to attribute_value where attribute_name = 'Wi-Fi'; business No. refers to business_id;
SQL: SELECT T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.business_id = 10172 AND T1.attribute_name LIKE 'wi-fi'
Database: public_review_platform
Question: How many "bars" are there in the Yelp business?
Evidence: bars refers to category_name = 'Bars';
SQL: SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Bars'
Database: public_review_platform
Question: How many more "buffets" than "gyms" in Yelp business?
Evidence: buffets refers to category_name = 'Buffets'; gyms refers to category_name = 'Gyms'; difference = SUBTRACT(SUM(category_name = 'Buffets'), SUM(category_name = 'Gyms'));
SQL: SELECT SUM(CASE WHEN T1.category_name LIKE 'Buffets' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name LIKE 'Gyms' THEN 1 ELSE 0 END) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id
Database: public_review_platform
Question: What business category is the Yelp business which got the most 5 star reviews in?
Evidence: business category refers to category_name; most 5 star reviews refers to MAX(COUNT(category_name WHERE star_reviews = 5));
SQL: SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Reviews AS T4 ON T3.business_id = T4.business_id WHERE T4.review_stars = 5 GROUP BY T1.category_name ORDER BY COUNT(T1.category_name) DESC LIMIT 1
Database: public_review_platform
Question: In which year did the user who gave the most number of "5" star reviews join the Yelp?
Evidence: year the user join the Yelp refers to user_yelping_since_year; star reviews refers to review_stars;
SQL: SELECT T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_stars = 5 GROUP BY T2.user_yelping_since_year ORDER BY COUNT(T1.review_stars) DESC LIMIT 1
Database: public_review_platform
Question: For the user who gave the most number of long reviews, what is his/her averge ratings of all review?
Evidence: long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); average ratings = AVG(review_stars);
SQL: SELECT CAST(SUM(T1.review_stars) AS REAL) / COUNT(T1.review_stars) FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_length LIKE 'Long' GROUP BY T1.user_id ORDER BY COUNT(T1.review_length) DESC LIMIT 1
Database: public_review_platform
Question: For the Yelp business which had the most number of "long" reviews, which category does it belong to?
Evidence: long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); category refers to category_name;
SQL: SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Long' GROUP BY T2.business_id ORDER BY COUNT(T1.review_length) DESC LIMIT 1
Database: public_review_platform
Question: For the Yelp business which had the most number of "short" tips, which category does it belong to?
Evidence: short tips refers to tip_length = 'short'; most number of short tips refers to MAX(COUNT(tip_length = 'short')); category refers to category_name;
SQL: SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Tips AS T4 ON T3.business_id = T4.business_id WHERE T4.tip_length LIKE 'short'
Database: public_review_platform
Question: In which year did the user who has given the most number of "short" tips join the Yelp?
Evidence: year the user join the Yelp refers to user_yelping_since_year; most number of short tips refers to MAX(COUNT(tip_length = 'Short'));
SQL: SELECT T2.user_yelping_since_year FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.tip_length LIKE 'short' GROUP BY T2.user_yelping_since_year ORDER BY COUNT(T1.tip_length) DESC LIMIT 1
Database: public_review_platform
Question: User No. 70271 only has given one tip to the Yelp business, which category was that business belonged to?
Evidence: user No. refers to user_id; short tip refers to tip_length = 'short'; category refers to category_name;
SQL: SELECT T4.category_name FROM Tips 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.user_id = 70271
Database: public_review_platform
Question: There was only one tip that user No. 69722 gave to the Yelp business, what was the ratings of that business?
Evidence: short tip refers to tip_lenghth = 'short'; user No. refers to user_id; ratings refers to stars; stars = 5 means great experience; stars = 4 means good experience; stars = 3 means average experience; stars = 2 means bad experience; stars = 1 means terrible experience;

SQL: SELECT T2.stars FROM Tips AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.user_id = 69722
Database: public_review_platform
Question: Give the percentage of "Automotive" businesses among all the Yelp businesses.
Evidence: automotive businesses refers to category_name = 'Automotive'; percentage = MULTIPLY(DIVIDE(SUM(category_name = 'Automotive'), COUNT(business_id)), 1.0);
SQL: SELECT CAST(SUM(CASE WHEN T2.category_name LIKE 'Automotive' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "percentage" FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id
Database: public_review_platform
Question: What percentage more for the "Women's Clothing" Yelp businesses to "Men's Clothing"?
Evidence: Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
SQL: SELECT CAST(SUM(CASE WHEN T2.category_name LIKE 'Women''s Clothing' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) - CAST(SUM(CASE WHEN T2.category_name LIKE 'Men''s Clothing' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "more percentage" FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id
Database: public_review_platform
Question: Give the number of users who joined Yelp since "2004".
Evidence: joined yelp since 2004 refers to user_yelping_since_year = 2004;
SQL: SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2004
Database: public_review_platform
Question: How many users who have joined Yelp since "2005" but have no fans?
Evidence: joined Yelp since 2005 refers to user_yelping_since_year = 2005; no fans refers to user_fans = 'None';
SQL: SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2005 AND user_fans LIKE 'None'
Database: public_review_platform
Question: State the number of actively running Yelp businesses in "Tolleson".
Evidence: actively running refers to active = 'TRUE'; Tolleson refers to city = 'Tolleson';
SQL: SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Tolleson' AND active LIKE 'TRUE'
Database: public_review_platform
Question: What is the number of reviews from user No. "21679"?
Evidence: user No. refers to user_id;
SQL: SELECT COUNT(review_length) FROM Reviews WHERE user_id = 21679
Database: public_review_platform
Question: How many "5" star reviews does the Yelp business No. "10682" get?
Evidence: 5 star reviews refers to review_stars = 5; business No. refers to business_id;
SQL: SELECT COUNT(review_length) FROM Reviews WHERE business_id = 10682 AND review_stars = 5
Database: public_review_platform
Question: Which closed/not running Yelp business in "Sun City" has got the most reviews? Give the business id.
Evidence: closed/not running refers to active = 'False'; most reviews refers to MAX(COUNT(user_id));
SQL: SELECT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Sun City' AND T1.active LIKE 'FALSE' GROUP BY T1.business_id ORDER BY COUNT(T2.review_length) DESC LIMIT 1
Database: public_review_platform
Question: For the only Yelp business in "Yuma" city, how many "medium" reviews did it get?
Evidence: medium reviews refers to review_length = 'Medium';
SQL: SELECT COUNT(T2.review_length) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Yuma' AND T2.review_length LIKE 'Medium'
Database: public_review_platform
Question: Does Yelp business No."4960" have TV?
Evidence: business No. refers to business_id; have TV refers to attribute_name = 'Has TV';
SQL: SELECT DISTINCT CASE WHEN T1.attribute_name LIKE 'Has TV' THEN 'yes' ELSE 'no' END FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.business_id = 4960
Database: public_review_platform
Question: Give the number of "dogs allowed" Yelp businesses.
Evidence: number of Yelp businesses refers to business_id; dogs allowed refers to attribute_name = 'Dogs Allowed' AND attribute_value = 'true';
SQL: SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Dogs Allowed' AND T2.attribute_value LIKE 'TRUE'
Database: public_review_platform
Question: How many hours does the Yelp business No. "5734" open on Saturday?
Evidence: how many hours = SUBTRACT(closing_time, opening_time); business No. refers to business_id; open on Saturday refers to day_of_week = 'Saturday';
SQL: SELECT T1.closing_time - T1.opening_time AS "hour" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Saturday' AND T1.business_id = 5734
Database: public_review_platform
Question: Tell the number of "hair removal" Yelp businesses.
Evidence: hair removal refers to category_name = 'Hair Removal';
SQL: SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Hair Removal'
Database: public_review_platform
Question: How many more "Chinese" than "Filipino" Yelp businesses?
Evidence: Chinese refers to category_name = 'Chinese'; Filipino refers to category_name = 'Filipino'; how many more = SUBTRACT(SUM(category_name = 'Chinese'), SUM(category_name = 'Filipino'));
SQL: SELECT SUM(CASE WHEN T1.category_name LIKE 'Chinese' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name LIKE 'Filipino' THEN 1 ELSE 0 END) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id
Database: public_review_platform
Question: User No."63469" has got "1" like for a tip to the Yelp business, which city is that business located in?
Evidence: user No. refers to user_id;
SQL: SELECT T1.city FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.likes = 1 AND T2.user_id = 63469
Database: public_review_platform
Question: How many types of music does Yelp business No."1141" have?
Evidence: types of music refers to attribute_name LIKE '%music%' WHERE attribute_value = 'true'; business No. refers to business_id;

SQL: SELECT COUNT(T1.attribute_name) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T2.business_id = 1141
Database: public_review_platform
Question: How many "cute" type of compliments does user No. 57400 get?
Evidence: type of compliments refers to compliment_type; user No. refers to user_id;
SQL: SELECT COUNT(T1.compliment_type) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type LIKE 'cute' AND T2.user_id = 57400
Database: public_review_platform
Question: Who has got the most number of "funny" type of compliments? Give the user ID.
Evidence: type of compliments refers to compliment_type; most number of funny type of compliments refers to MAX(COUNT(number of compliments = 'high' WHERE compliment_type = 'funny'));
SQL: SELECT user_id FROM Users_Compliments WHERE compliment_id IN ( SELECT compliment_id FROM Compliments WHERE compliment_type LIKE 'funny' )
Database: public_review_platform
Question: Give the number of "drive-thru" businesses in "Scottsdale" with business ID number less than "1000".
Evidence: drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;
SQL: 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 T3.business_id < 1000 AND T3.city LIKE 'Scottsdale' AND T1.attribute_name LIKE 'Drive-Thru' AND T2.attribute_value LIKE 'TRUE'
Database: public_review_platform
Question: What is the average rating for the all Yelp businesses that open 24 hours?
Evidence: open 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'; rating refers to stars; average rating = AVG(stars);
SQL: SELECT CAST(SUM(T3.stars) AS REAL) / COUNT(T2.business_id) AS "avg" FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'Open 24 Hours' AND T2.attribute_value LIKE 'TRUE'
Database: public_review_platform
Question: For all the Yelp businesses that allow customers bring their own beer, what percentage of them are in "Phoenix"?
Evidence: bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)
SQL: SELECT CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.business_id) AS "percentage" FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'BYOB' AND T2.attribute_value LIKE 'TRUE'
Database: public_review_platform
Question: List the names of business in AZ with a rating of 5.
Evidence: AZ refers to state = 'AZ'; rating refers to stars;
SQL: SELECT business_id FROM Business WHERE state LIKE 'AZ' AND stars = 5
Database: public_review_platform
Question: How many active businesses of city are underrated?
Evidence: active businesses refers to active = 'true'; underrated refers to review_count = 'Low';
SQL: SELECT COUNT(business_id) FROM Business WHERE review_count LIKE 'Low' AND active LIKE 'TRUE'
Database: public_review_platform
Question: How many user ids from 1 to 20 have no fan users and have low ratings?
Evidence: user_id BETWEEN 1 AND 20; no fan users refers to user_fans = 'None'; low ratings refers to user_review_count = 'Low';
SQL: SELECT COUNT(user_id) FROM Users WHERE user_id BETWEEN 1 AND 20 AND user_fans LIKE 'None' AND user_review_count LIKE 'Low'
Database: public_review_platform
Question: Indicate the opening hours of businesses are with category in fashion.
Evidence: opening hours refers to opening_time; category refers to category_name;
SQL: SELECT T4.opening_time 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 LIKE 'Fashion'