db_id stringclasses 68 values | question stringlengths 24 325 | evidence stringlengths 0 580 | SQL stringlengths 23 728 |
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public_review_platform | Mention the user ID and their year of joining Yelp who had great experience on business ID 143. | year of joining Yelp refers to user_yelping_since_year; great experience refers to Reviews where review_stars = 5; | SELECT T2.user_id, T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.business_id = 143 AND T1.review_stars = 5 |
public_review_platform | Among the user ID with number in compliment of uber on profile, list any 5 user ID and the year when they join Yelp. | when join Yelp refers to user_yelping_since_year; compliment_type = 'profile'; number_of_compliments = 'Uber'; | SELECT T3.user_id, T3.user_yelping_since_year 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 T1.compliment_type = 'profile' AND T2.number_of_compliments = 'Uber' LIMIT 5 |
public_review_platform | List the user ID, business ID with review length of the business which received the most likes in tips. | business which received the most likes refers to business_id where MAX(likes); | SELECT T1.user_id, T1.business_id, T2.review_length FROM Tips AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id ORDER BY T1.likes DESC LIMIT 1 |
public_review_platform | Among the elite users of 10 consecutive year from 2005 to 2014, list down the user ID and their number of compliment on photos. | from 2005 to 2014 refers to year_id BETWEEN 2005 AND 2014; compliment_type = 'photos'; | SELECT T2.user_id, T2.number_of_compliments FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Elite AS T3 ON T2.user_id = T3.user_id WHERE T3.year_id BETWEEN 2005 AND 2014 AND T1.compliment_type = 'photos' |
public_review_platform | Calculate the percentage of business which opened on Sunday from 9AM to 9PM based on the number of business opened on Sunday. | Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage; | SELECT CAST(SUM(CASE WHEN T2.opening_time = '9AM' AND T2.closing_time = '9PM' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.day_id) FROM Days AS T1 INNER JOIN Business_Hours AS T2 ON T1.day_id = T2.day_id WHERE T1.day_of_week = 'Sunday' |
public_review_platform | Write down the ID and opening day of a week for the business which are running in Black Canyon City. | running refers to active = 'true'; opening day of a week means days of the week when business is open; | SELECT T2.business_id, 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 = 'Black Canyon City' AND T1.active = 'true' |
public_review_platform | Which business ID received the review of 4 star and above by 65% of user? Describe their active status and city. | review of 4 star and above refers to stars > 4; DIVIDE(SUM(stars > 4), COUNT(business_id)) = 0.65; | SELECT DISTINCT T2.business_id, T2.city FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_stars >= 4 AND ( SELECT CAST(( SELECT COUNT(DISTINCT T1.user_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_stars >= 4 ) AS REAL) * 100 / ( SELECT COUNT(user_id) FROM Users ) > 65 ) |
public_review_platform | Calculate the difference between running business in Glendale City and Mesa City. | running business refers to business where active = 'true'; | SELECT SUM(CASE WHEN city = 'Glendale' THEN 1 ELSE 0 END) - SUM(CASE WHEN city = 'Mesa' THEN 1 ELSE 0 END) AS diff FROM Business WHERE active = 'true' |
public_review_platform | How many likes did short comment left by users who joined in 2010 get? | short comment refers to tip_length = 'Short'; users who joined in 2010 refer to user_id where user_yelping_since_year = 2010; | SELECT SUM(T2.likes) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2010 |
public_review_platform | Sum up the likes get by short reviews on businesses located in City Goodyear. | short reviews refer to tip_length = 'Short'; | SELECT SUM(T2.likes) AS likes FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Goodyear' |
public_review_platform | For businesses with long length reviews, which state are they located? | businesses with long length tips refer to business_id where tip_length = 'Long'; | SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.tip_length = 'Long' |
public_review_platform | List down the category of businesses whose stars ratings are 5. | category of businesses refers to category_name; stars ratings are 5 refers to stars = 5 | SELECT DISTINCT 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.stars = 5 |
public_review_platform | What are the states of businesses with attribute of beer and wine located? | with attribute of beer and wine refers to attribute_value = 'beer_and_wine'; | SELECT DISTINCT T2.state FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.attribute_value = 'beer_and_wine' |
public_review_platform | How many user's compliment in photo has medium in number? | user's compliment in photo refers to compliment_type = 'photo'; photo has medium in number refers to number_of_compliments = 'Medium' | SELECT COUNT(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos' AND T2.number_of_compliments = 'Medium' |
public_review_platform | Sum up the number of business with "ambience_romantic" attribute. | "ambience_romantic" attribute refers to attribute_name = 'ambience_romantic' AND attribute_value = 'true' | 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 = 'ambience_romantic' AND T2.attribute_value = 'true' |
public_review_platform | What is the percentage of businesses with "Good for Kids" attribute over the other attributes? | "Good for Kids" attribute refers to attribute_name = 'Good for Kids' AND attribute_value = 'true'; Calculation = DIVIDE(SUM(attribute_name = 'Good for Kids' AND attribute_value = 'true')), SUM(business_id) * 100 | SELECT CAST(SUM(CASE WHEN attribute_name = 'Good for Kids' THEN 1 ELSE 0 END) AS REAL) * 100 / 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' |
public_review_platform | How many businesses are not closed in the city of Mesa? | businesses are not closed refers to active = 'true' | SELECT COUNT(business_id) FROM Business WHERE city = 'Mesa' AND active = 'true' |
public_review_platform | In how many businesses have customers had a bad or terrible experience? | stars = 2 means bad experience; stars = 1 means terrible experience; customers had a bad or terrible experience refers to stars = 2 OR stars = 1 | SELECT COUNT(business_id) FROM Business WHERE stars IN (1, 2) |
public_review_platform | List by ID the businesses with the reviews with the lowest veracity of Paradise Valley. | ID of businesses refers to business_id; reviews with the lowest veracity refers to review_count = 'Low' AND stars > 3; Paradise Valley is a city | SELECT business_id FROM Business WHERE stars > 3 AND city = 'Paradise Valley' AND review_count = 'Low' |
public_review_platform | How many businesses are opened the same number of hours every day of the week? | how much time does this business open refers to SUBTRACT(closing_time, opening_time); every day of the week refers to day_id BETWEEN 1 AND 7 | SELECT COUNT(business_id) FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM' |
public_review_platform | How many reviews of businesses that are still open received an uber rating on the funny vote? | businesses that still open refers to active = 'true'; business received an uber rating on the funny vote refers to review_votes_funny = 'Uber' | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_votes_funny = 'Uber' AND T1.active = 'true' |
public_review_platform | How many of the users who use a high number of compliments do not have any fans? | do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High' | SELECT COUNT(T2.user_id) FROM Users_Compliments AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.number_of_compliments = 'High' AND T2.user_fans = 'None' |
public_review_platform | What is the most common type of compliments that a user has received from other users? | the most common type of compliments refers to MAX(COUNT(compliment_type)) | SELECT T2.compliment_type FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id GROUP BY T2.compliment_type ORDER BY COUNT(T2.compliment_type) DESC LIMIT 1 |
public_review_platform | How many stars does each of the 3 top users with the most likes in their reviews have? | more likes mean this tip is more valuable; the most likes refers to MAX(likes); stars refers to users_average_stars | SELECT T2.user_average_stars FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id GROUP BY T2.user_id ORDER BY SUM(T1.likes) DESC LIMIT 3 |
public_review_platform | In which categories does the only business located in the city of Arcadia appear? | categories refers to category_name | SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city = 'Arcadia' |
public_review_platform | List by their id all businesses that are open on Sunday. | day_of_week = 'Sunday'; open on Sunday refers to day_id = 1 | SELECT T1.business_id FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.day_id = 1 |
public_review_platform | How many businesses with music_karaoke attribute are closed? | music_karaoke attribute refers to attribute_name = 'music_karaoke' AND attribute_value = 'true'; businesses are closed refers to active = 'false' | SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'music_karaoke' AND T3.active = 'false' AND T2.attribute_value IN ('none', 'no', 'false') |
public_review_platform | How many open businesses in the City of Phoenix have users left a long review? | open businesses refers to active = 'true'; long review refers to review_length = 'Long' | SELECT COUNT(DISTINCT T2.business_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_length = 'Long' AND T2.active = 'true' AND T2.city = 'Phoenix' |
public_review_platform | How many users who have received a low cool vote have also received at least 1 low cool vote for some of their reviews? | low cool vote for user refers to user_votes_cool = 'Low'; low cool vote for review refers to review_votes_cool = 'Low' | SELECT COUNT(DISTINCT T1.user_id) FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_votes_cool = 'Low' AND T2.review_votes_cool = 'Low' |
public_review_platform | How many users with a long tip and 2 likes for their tip have a high number of fans? | long tip refers to tip_length = 'Long'; 2 likes refers to likes = 2; high number of fans refers to user_fans = 'High' | SELECT COUNT(DISTINCT T1.user_id) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T2.tip_length = 'Long' AND T2.likes = 2 AND T1.user_fans = 'High' |
public_review_platform | In how many businesses with the ambience_trendy attribute? | ambience_trendy attribute refers to attribute_name = 'ambience_trendy' AND attribute_value = 'false' | 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 = 'ambience_trendy' AND T2.attribute_value IN ('none', 'no', 'false') |
public_review_platform | How many businesses in the city of Scottsdale open on Sunday at 12PM? | businesses that opened on Sunday refers to day_of_week = 'Sunday'; businesses that opened at 12PM refers to opening_time = '12PM' | SELECT COUNT(DISTINCT T2.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 = 'Scottsdale' AND T3.day_of_week = 'Sunday' AND T2.opening_time = '12PM' |
public_review_platform | What is the average number of stars for businesses in the Obstetricians & Gynecologists category? | Obstetricians & Gynecologists category refers to category_name = 'Obstetricians & Gynecologists'; calculation = AVG(stars) | SELECT CAST(SUM(T1.stars) AS REAL) / COUNT(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 = 'Obstetricians & Gynecologists' |
public_review_platform | Calculate the percentage of users with a high number of fans who were elite in 2011. | users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100 | SELECT CAST(SUM(CASE WHEN T3.user_fans = 'High' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.user_fans) FROM Years AS T1 INNER JOIN Elite AS T2 ON T1.year_id = T2.year_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.actual_year = 2011 |
public_review_platform | How many of the businesses are in Surprise? | Surprise is a city | SELECT COUNT(business_id) FROM Business WHERE city = 'Surprise' |
public_review_platform | List down the business ID with a high review count in Tempe. | Tempe is a city; high review count refers to review_count = 'High' | SELECT business_id FROM Business WHERE review_count = 'High' AND city = 'Tempe' |
public_review_platform | What is the total number of active businesses in AZ with a medium review count? | active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium' | SELECT COUNT(business_id) FROM Business WHERE review_count = 'Medium' AND state = 'AZ' AND active = 'true' |
public_review_platform | List down the business ID with a star range from 3 to 5, located at Chandler. | businesses with a star range from 3 to 5 refers to stars BETWEEN 3 AND 5; Chandler is a city | SELECT business_id FROM Business WHERE stars >= 3 AND stars < 6 AND city = 'Chandler' |
public_review_platform | In users yelping since 2009 to 2011, how many of them have low count of fans? | users in yelping since 2009 to 2011 refers to user_yelping_since_year BETWEEN 2009 AND 2011; low count of fans refers to user_fans = 'Low' | SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year >= 2009 AND user_yelping_since_year < 2012 AND user_fans = 'Low' |
public_review_platform | What is the review length of user 11021 to business with business ID 3? | review length refers to review_length; user 11021 refers to user_id = 11021; business ID 3 refers to business_id = 3 | SELECT review_length FROM Reviews WHERE user_id = 11021 AND business_id = 3 |
public_review_platform | Among the businesses in Tempe, list the attribute of the business with a medium review count. | Tempe is a city; high review count refers to review_count = 'High' | SELECT DISTINCT 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 = 'Tempe' AND T1.review_count = 'Medium' |
public_review_platform | In businesses with a category of food, how many of them have a star rating below 3? | category of food refers to category_name = 'Food'; star rating below 3 refers to stars < 3 | SELECT COUNT(DISTINCT 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 = 'Food' AND T1.stars < 3 |
public_review_platform | List the active business ID and its stars of the businesses fall under the category of Food. | active business ID refers to active = 'true'; category of Food refers to category_name = 'Food' | SELECT DISTINCT T1.business_id, T1.stars 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 = 'Food' AND T1.active = 'true' |
public_review_platform | What is the category and attributes of businesses with highest star rating? | category of the business refers to category_name; attributes of the business refers to attribute_name; the highest star rating refers to MAX(stars) | SELECT DISTINCT T3.category_name, T5.attribute_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 INNER JOIN Business_Attributes AS T4 ON T2.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE T1.stars = ( SELECT MAX(stars) FROM Business ) |
public_review_platform | What is the category of the business with short review length and highest review stars within business ID from 7 to 14? | category of the business refers to category_name; short review length refers to review_length = 'Short'; the highest star rating refers to MAX(stars); business ID from 7 to 14 refers to business_id BETWEEN 7 AND 14 | SELECT DISTINCT T3.category_name FROM Reviews 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 T2.business_id >= 7 AND T2.business_id < 15 AND T1.review_length = 'Short' AND T1.review_stars = ( SELECT MAX(review_stars) FROM Reviews ) |
public_review_platform | Count the active businesses that has an attribute of BYOB with high review count. | active business ID refers to active = 'true'; category of Food refers to category_name = 'Food'; attribute of BYOB refers to attribute_name = 'BYOB'; high review count refers to review_count = 'High' | SELECT COUNT(DISTINCT 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 = 'BYOB' AND T1.review_count = 'High' AND T1.active = 'true' |
public_review_platform | What is the closing and opening time of businesses located at Glendale with highest star rating? | Glendale is a city; the highest star rating refers to MAX(stars) | SELECT T2.opening_time, T2.closing_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Glendale' ORDER BY T1.stars DESC LIMIT 1 |
public_review_platform | List the categories of active businesses in Glendale, AZ. | active business ID refers to active = 'true'; categories refers to category_name; Glendale is a city; AZ is a state | SELECT DISTINCT T3.category_name FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_id WHERE T2.active = 'true' AND T2.state = 'AZ' AND T2.city = 'Glendale' |
public_review_platform | Find the location of businesses that has business hours from 7 am to 7 pm every Wednesday. | location of business refers to city; business hours from 7am to 7pm refers to opening_time = '7AM' AND closing_time = '7PM'; Wednesday refers to day_of_week = 'Wednesday' | SELECT DISTINCT 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 = '7AM' AND T2.closing_time = '7PM' AND T3.day_of_week = 'Wednesday' |
public_review_platform | What is the attribute value of an active business with a low review count and 3 stars which is located at Goodyear, AZ? | active business ID refers to active = 'true'; low review count refers to review_count = 'Low'; 3 stars refers to stars = 3; Goodyear is a city; AZ is a state | SELECT DISTINCT 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 = 'AZ' AND T1.city = 'Goodyear' AND T1.active = 'true' AND T1.stars = 3 AND T1.review_count = 'Low' |
public_review_platform | What is the opening time of the active businesses in Glendale that have a medium review count. | active business ID refers to active = 'true'; Glendale is a city; medium review count refers to review_count = 'Medium' | SELECT DISTINCT T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Glendale' AND T1.review_count = 'Medium' AND T1.active = 'true' |
public_review_platform | Among the businesses with a category of Food, what is the percentage of the business with greater than 3 stars? | category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars)) | SELECT CAST(SUM(CASE WHEN T1.stars > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.stars) 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 = 'Food' |
public_review_platform | List the closing time and day of week of active businesses in Goodyear with stars greater than the 80% of average age of star rating. | active business ID refers to active = 'true'; Goodyear is a city; Calculation = AVG(stars) * 0.8; businesses with stars greater than 80% of average star rating refers to stars > AVG(stars) * 0.8 | SELECT DISTINCT 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.active = 'true' AND T1.city = 'Goodyear' AND T1.stars > ( SELECT AVG(stars) * 0.8 FROM Business WHERE active = 'true' AND city = 'Goodyear' ) |
citeseer | Among all the citation, what is the percentage of paper ID under the Agents classification? | classification refers to class_label; class_label = 'Agents'; percentage = (divide(count(paper_id where class_label = 'Agents')), (count(paper_id)))*100; | SELECT CAST(COUNT(CASE WHEN class_label = 'Agents' THEN paper_id ELSE NULL END) AS REAL) * 100 / COUNT(paper_id) FROM paper |
citeseer | What is the most cited word? How many papers was that word cited in? | most cited word refers to max(count(word_cited_id); | SELECT word_cited_id, COUNT(paper_id) FROM content GROUP BY word_cited_id ORDER BY COUNT(word_cited_id) DESC LIMIT 1 |
citeseer | What is the total number of word cited under that class labelled 'AI'? | SELECT COUNT(DISTINCT T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI' | |
citeseer | Among all the DB class type citation, which word is the most frequently cited? | class type refers to class_label; class_label = 'DB'; word that is most frequently cited refers to max(count(word_cited_id); | SELECT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'DB' GROUP BY T2.word_cited_id ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1 |
citeseer | Calculate the percentage of words used in Agents class label. | percentage = (divide(count(word_cited_id where class_label = 'Agents')), (count(word_cited_id)))*100; | SELECT CAST(COUNT(DISTINCT CASE WHEN T1.class_label = 'Agents' THEN T2.word_cited_id ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id |
citeseer | Which paper ID cited the most word? In which class label does it belongs to? | most cited word refers to max(word_cited_id); | SELECT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id GROUP BY T1.paper_id, T1.class_label ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1 |
citeseer | List all the paper ID and its class type that cited the word 'word1002'. | class type refers to class_label; | SELECT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1002' |
citeseer | List all words cited in the AI class label. | SELECT DISTINCT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI' | |
citeseer | What is the class label of paper ID 'chakrabarti01integrating'. How many words were cited by this paper ID? | SELECT DISTINCT T1.class_label, COUNT(T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.paper_id = 'chakrabarti01integrating' GROUP BY T1.class_label | |
citeseer | List the words that are cited in both AI and IR class label. | SELECT DISTINCT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI' OR T1.class_label = 'IR' | |
citeseer | Name the paper which is cited most times and the paper which is cited least times? Also, find the number of times each one is cited. | SELECT cited_paper_id, COUNT(cited_paper_id), ( SELECT cited_paper_id FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) ASC LIMIT 1 ), ( SELECT COUNT(cited_paper_id) FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) ASC LIMIT 1 ) FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) DESC LIMIT 1 | |
citeseer | On average, how many papers are under the ML class? | class refers to class_label; average = divide(count(paper_id where class_label = 'M')), (count(paper_id))); | SELECT CAST(COUNT(CASE WHEN class_label = 'ML' THEN paper_id ELSE NULL END) AS REAL) / COUNT(paper_id) FROM paper |
citeseer | Find the words cited in papers that are cited by sima01computational? | paper cited by refers to citing_paper_id; citing_paper_id = 'sima01computational'; | SELECT DISTINCT T2.word_cited_id FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'sima01computational' |
citeseer | How many papers were cited by schmidt99advanced cited word3555? | paper cited by refers to citing_paper_id; citing_paper_id = 'schmidt99advanced'; | SELECT COUNT(T2.paper_id) FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'schmidt99advanced' AND T2.word_cited_id = 'word3555' |
citeseer | Under what classification do the papers that cited word1163 belong? | SELECT DISTINCT T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1163' | |
citeseer | Among the papers under DB classification, which paper has the highest number of words cited? | classification refers to class_label; class_label = 'DB'; | SELECT T1.paper_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'DB' GROUP BY T1.paper_id ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1 |
citeseer | In the papers classified as ML, how many cited butz01algorithmic? | classification refers to class_label; paper cited by refers to citing_paper_id; citing_paper_id = 'butz01algorithmic'; | SELECT COUNT(T1.paper_id) FROM paper AS T1 INNER JOIN cites AS T2 ON T1.paper_id = T2.citing_paper_id WHERE T1.class_label = 'ML' AND T2.cited_paper_id = 'butz01algorithmic' |
simpson_episodes | Which crew member of the simpson 20s is the oldest? | oldest refers to Min(birthdate) | SELECT name FROM Person WHERE birthdate IS NOT NULL ORDER BY birthdate ASC LIMIT 1; |
simpson_episodes | What's the nickname for Dan Castellaneta? | "Dan Castellaneta" is the name of Person | SELECT nickname FROM Person WHERE name = 'Dan Castellaneta'; |
simpson_episodes | Among the crew members of the simpson 20s born in the New York city, how many of them were born after the year 1970? | born in New York city refers to birth_region = 'New York'; born after year 1970 refers to ('%Y', birthdate) > 1970 | SELECT COUNT(name) FROM Person WHERE birth_region = 'New York' AND SUBSTR(birthdate, 1, 4) > '1970'; |
simpson_episodes | In which country was the winner of the Outstanding Voice-Over Performance award of 2009 born? | "Outstanding Voice-Over Performance" is the award; 2009 refers to year = 2009; 'Winner' is the result; country refers to birth_country | SELECT T1.birth_country FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Outstanding Voice-Over Performance' AND T2.year = 2009 AND T2.result = 'Winner'; |
simpson_episodes | Please list the names of all the awards won by the crew member whose nickname is Doofus. | award won refers to result = 'Winner' | SELECT T2.award FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T1.nickname = 'Doofus' AND T2.result = 'Winner'; |
simpson_episodes | How many crew members who were born in the USA were nominated for the Outstanding Animated Program (For Programming Less Than One Hour) award in 2009? | born in USA refers to birth_country = 'USA'; were nominated refers to result = 'Nominee'; 'Outstanding Animated Program (For Programming Less Than One Hour)' is the award; in 2009 refers to year = 2009 | SELECT COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T1.birth_country = 'USA' AND T2.result = 'Nominee' AND T2.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.year = 2009; |
simpson_episodes | Which character won the Outstanding Voice-Over Performance award in 2009? | won refers to result = 'Winner' | SELECT DISTINCT T1.character FROM Character_Award AS T1 INNER JOIN Award AS T2 ON T1.award_id = T2.award_id WHERE T2.award = 'Outstanding Voice-Over Performance' AND T2.year = 2009 AND T2.result = 'Winner'; |
simpson_episodes | Please list all the keywords of the episode Lost Verizon. | "Lost Verizon" is the title of episode | SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Lost Verizon'; |
simpson_episodes | How many keywords does the episode that was aired on 2008/10/19 have? | aired on 2008/10/19 refers to air_date = '2008-10-19' | SELECT COUNT(T2.keyword) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.air_date = '2008-10-19'; |
simpson_episodes | How many 7-star votes in star score did the episode Lost Verizon have? | 7-stars vote refers to stars = 7; 'Lost Verizon' is the title of episode | SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lost Verizon' AND T2.stars = 7; |
simpson_episodes | How many stars did most of the voters give in star score for the episode Lost Verizon? | "Lost Verizon" is the title of episode; most voters refers to Max(votes) | SELECT T2.stars FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lost Verizon' ORDER BY T2.votes DESC LIMIT 1; |
simpson_episodes | Please list the titles of the episodes that have over 200 voters voting a 10 in star score. | over 200 votes refers to votes > 200; 10 in star score refers to stars = 10 | SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.votes > 200 AND T2.stars = 10; |
simpson_episodes | How many episodes aired in the year 2009 have over 15% of voters giving 10 stars in star score? | aired in the year 2009 refers to air_date like '2009%'; 10 stars in star score refers to stars = 10; over 15% of voters refers to Votes.percent > 15 | SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2009' AND T2.stars = 10 AND T2.percent > 15; |
simpson_episodes | What's the title of the episode that got the most 7-star votes in star score? | 7-stars vote refers to stars = 7; most refers to Max(votes) | SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 7 ORDER BY T2.votes DESC LIMIT 1; |
simpson_episodes | How many stars on average does the episode Lost Verizon have? | "Lost Verizon" is the title of episode; stars on average = Divide( Sum (Multiply (votes, stars)), Sum(votes)) | SELECT CAST(SUM(T2.votes * T2.stars) AS REAL) / SUM(T2.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lost Verizon'; |
simpson_episodes | What is the percentage of Primetime Emmy nominated episodes with a rating over 7 to all the episodes that have a rating over 7? | "Primetime Emmy' is the award_category; rating over 7 refers to rating > 7; nominated refers to result = 'Nominee'; percentage = Divide(Count(episode_id(award_category = 'Primetime Emmy')), Count (episode_id)) * 100 | SELECT CAST(SUM(CASE WHEN T1.award_category = 'Primetime Emmy' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.rating > 7 AND T1.result = 'Nominee'; |
simpson_episodes | Name the title of the episode where Pamela Hayden voiced the character 'Ruthie.' | "Pamela Hayden" is the person; voice the character 'Ruthie' refers to role = 'Ruthie' | SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Pamela Hayden' AND T2.role = 'Ruthie'; |
simpson_episodes | List down all the roles of Matt Groening on the episode titled 'In the Name of the Grandfather' along with the episode number and series number. | "Matt Groening" is the person; 'In the Name of the Grandfather' is the title of episode; episode number refers to episode; series number refers to number_in_series | SELECT T2.role, T1.episode, T1.number_in_series FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Matt Groening' AND T1.title = 'In the Name of the Grandfather'; |
simpson_episodes | Write down the title and summary of the episode with the keyword 'eviction.' | SELECT T1.title, T1.summary FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword = 'eviction'; | |
simpson_episodes | What is the average number of stars received by the episode titled 'Wedding for Disaster.' | "Wedding for Disaster" is the title of episode; average number of stars = Divide(Sum(stars), Count(stars)) | SELECT AVG(T2.stars) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Wedding for Disaster'; |
simpson_episodes | Write the title and all the keywords of the episode that was aired on 3/22/2009. | aired on 3/22/2009 refers to air_date = '2009-03-22' | SELECT T1.title, T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.air_date = '2009-03-22'; |
simpson_episodes | What is the birth name of the person who voiced 'Helen Lovejoy?' | voiced refers to role; role = 'Helen Lovejoy" | SELECT DISTINCT T1.birth_name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.role = 'Helen Lovejoy'; |
simpson_episodes | How many episodes have more than 1000 votes? | more than 1000 votes refers to votes > 1000 | SELECT COUNT(episode_id) FROM Episode WHERE votes > 1000; |
simpson_episodes | How many persons were born in New York, USA? | "New York" is the birth_place; 'USA' is the birth_region | SELECT COUNT(name) FROM Person WHERE birth_place = 'New York City' AND birth_country = 'USA'; |
simpson_episodes | List the name of all awards along with the award category, nominated by Marc Wilmore. | "Marc Wilmore" is the name of person | SELECT award_id, award_category FROM Award WHERE person = 'Marc Wilmore'; |
simpson_episodes | How many crew have their own nickname? List their full name along with the nickname. | crew refers to Person; full name refers to name; have nickname refers to nickname IS NOT NULL | SELECT COUNT(name) FROM Person WHERE nickname IS NOT NULL; |
simpson_episodes | Find the average height for each person. | average high = Divide(Sum(height_meters), Count(name)) | SELECT AVG(height_meters) FROM Person; |
simpson_episodes | Calculate the difference between the highest votes for episode and the lowest votes for episode. | highest vote refers to Max(votes); lowest vote refers to Min(votes); difference = Subtract(Max(votes), Min(votes)) | SELECT MAX(votes) - MIN(votes) FROM Vote; |
simpson_episodes | List the name character awarded for the Outstanding Voice-Over Performance award in 2009. | in 2009 refers to year = 2009 | SELECT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.year = 2009 AND T1.award = 'Outstanding Voice-Over Performance'; |
simpson_episodes | Among the person nominated for the Comedy Series Award in 2009, how many of them were born in California? | nominated refers to result = 'Nominee'; born in California refers to birth_place = 'California'; in 2009 refers to year = 2009 | SELECT COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.year = 2009 AND T2.award = 'Comedy Series' AND T1.birth_region = 'California'; |
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