target-benchmark/spider-queries · Datasets at Hugging Face

query_id int64 0 7k	database_id stringclasses 140 values	table_id listlengths 1 5	query stringlengths 16 224	answer stringlengths 18 577	difficulty stringclasses 4 values
4,900	store_product	[ "product" ]	What is the maximum page size for everything that has more than 3 products listed?	SELECT max_page_size FROM product GROUP BY max_page_size HAVING count(*) > 3	easy
4,901	store_product	[ "district" ]	Find the name and population of district with population between 200000 and 2000000	SELECT District_name , City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000	medium
4,902	store_product	[ "district" ]	What are the district names and city populations for all districts that between 200,000 and 2,000,000 residents?	SELECT District_name , City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000	medium
4,903	store_product	[ "district" ]	Find the name all districts with city area greater than 10 or population larger than 100000	SELECT district_name FROM district WHERE city_area > 10 OR City_Population > 100000	medium
4,904	store_product	[ "district" ]	What are the names of all districts with a city area greater than 10 or have more than 100000 people living there?	SELECT district_name FROM district WHERE city_area > 10 OR City_Population > 100000	medium
4,905	store_product	[ "district" ]	Which district has the largest population?	SELECT district_name FROM district ORDER BY city_population DESC LIMIT 1	medium
4,906	store_product	[ "district" ]	What is the name of the district with the most residents?	SELECT district_name FROM district ORDER BY city_population DESC LIMIT 1	medium
4,907	store_product	[ "district" ]	Which district has the least area?	SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1	medium
4,908	store_product	[ "district" ]	What is the name of the district with the smallest area?	SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1	medium
4,909	store_product	[ "district" ]	Find the total population of the top 3 districts with the largest area.	SELECT sum(city_population) FROM district ORDER BY city_area DESC LIMIT 3	medium
4,910	store_product	[ "district" ]	What is the total number of residents for the districts with the 3 largest areas?	SELECT sum(city_population) FROM district ORDER BY city_area DESC LIMIT 3	medium
4,911	store_product	[ "store" ]	Find all types of store and number of them.	SELECT TYPE , count(*) FROM store GROUP BY TYPE	medium
4,912	store_product	[ "store" ]	For each type of store, how many of them are there?	SELECT TYPE , count(*) FROM store GROUP BY TYPE	medium
4,913	store_product	[ "store", "district", "store_district" ]	Find the names of all stores in Khanewal District.	SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t3.district_name = "Khanewal District"	hard
4,914	store_product	[ "store", "district", "store_district" ]	What are the names of all the stores located in Khanewal District?	SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t3.district_name = "Khanewal District"	hard
4,915	store_product	[ "store", "district", "store_district" ]	Find all the stores in the district with the most population.	SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id WHERE district_id = (SELECT district_id FROM district ORDER BY city_population DESC LIMIT 1)	extra
4,916	store_product	[ "store", "district", "store_district" ]	What are the names of all the stores in the largest district by population?	SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id WHERE district_id = (SELECT district_id FROM district ORDER BY city_population DESC LIMIT 1)	extra
4,917	store_product	[ "store", "district", "store_district" ]	Which city is the headquarter of the store named "Blackville" in?	SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.store_name = "Blackville"	hard
4,918	store_product	[ "store", "district", "store_district" ]	What city is the headquarter of the store Blackville?	SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.store_name = "Blackville"	hard
4,919	store_product	[ "store", "district", "store_district" ]	Find the number of stores in each city.	SELECT t3.headquartered_city , count(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city	hard
4,920	store_product	[ "store", "district", "store_district" ]	How many stores are headquarted in each city?	SELECT t3.headquartered_city , count(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city	hard
4,921	store_product	[ "store", "district", "store_district" ]	Find the city with the most number of stores.	SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city ORDER BY count(*) DESC LIMIT 1	extra
4,922	store_product	[ "store", "district", "store_district" ]	What is the city with the most number of flagship stores?	SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city ORDER BY count(*) DESC LIMIT 1	extra
4,923	store_product	[ "product" ]	What is the average pages per minute color?	SELECT avg(pages_per_minute_color) FROM product	easy
4,924	store_product	[ "product" ]	What is the average number of pages per minute color?	SELECT avg(pages_per_minute_color) FROM product	easy
4,925	store_product	[ "store", "store_product", "product" ]	What products are available at store named "Miramichi"?	SELECT t1.product FROM product AS t1 JOIN store_product AS t2 ON t1.product_id = t2.product_id JOIN store AS t3 ON t2.store_id = t3.store_id WHERE t3.store_name = "Miramichi"	hard
4,926	store_product	[ "store", "store_product", "product" ]	What products are sold at the store named Miramichi?	SELECT t1.product FROM product AS t1 JOIN store_product AS t2 ON t1.product_id = t2.product_id JOIN store AS t3 ON t2.store_id = t3.store_id WHERE t3.store_name = "Miramichi"	hard
4,927	store_product	[ "product" ]	Find products with max page size as "A4" and pages per minute color smaller than 5.	SELECT product FROM product WHERE max_page_size = "A4" AND pages_per_minute_color < 5	medium
4,928	store_product	[ "product" ]	What are the products with the maximum page size A4 that also have a pages per minute color smaller than 5?	SELECT product FROM product WHERE max_page_size = "A4" AND pages_per_minute_color < 5	medium
4,929	store_product	[ "product" ]	Find products with max page size as "A4" or pages per minute color smaller than 5.	SELECT product FROM product WHERE max_page_size = "A4" OR pages_per_minute_color < 5	medium
4,930	store_product	[ "product" ]	What are the products with the maximum page size eqal to A4 or a pages per minute color less than 5?	SELECT product FROM product WHERE max_page_size = "A4" OR pages_per_minute_color < 5	medium
4,931	store_product	[ "product" ]	Find all the product whose name contains the word "Scanner".	SELECT product FROM product WHERE product LIKE "%Scanner%"	medium
4,932	store_product	[ "product" ]	What are all of the products whose name includes the substring "Scanner"?	SELECT product FROM product WHERE product LIKE "%Scanner%"	medium
4,933	store_product	[ "product" ]	Find the most prominent max page size among all the products.	SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1	hard
4,934	store_product	[ "product" ]	What is the most common maximum page size?	SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1	hard
4,935	store_product	[ "product" ]	Find the name of the products that are not using the most frequently-used max page size.	SELECT product FROM product WHERE product != (SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1)	hard
4,936	store_product	[ "product" ]	What are the names of all products that are not the most frequently-used maximum page size?	SELECT product FROM product WHERE product != (SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1)	hard
4,937	store_product	[ "district" ]	Find the total population of the districts where the area is bigger than the average city area.	SELECT sum(city_population) FROM district WHERE city_area > (SELECT avg(city_area) FROM district)	hard
4,938	store_product	[ "district" ]	What is the total population for all the districts that have an area larger tahn the average city area?	SELECT sum(city_population) FROM district WHERE city_area > (SELECT avg(city_area) FROM district)	hard
4,939	store_product	[ "store", "district", "store_district" ]	Find the names of districts where have both city mall and village store type stores.	SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "City Mall" INTERSECT SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "Village Store"	extra
4,940	store_product	[ "store", "district", "store_district" ]	What are the names of the districts that have both mall and village store style shops?	SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "City Mall" INTERSECT SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "Village Store"	extra
4,941	soccer_2	[ "college" ]	What is the total enrollment number of all colleges?	SELECT sum(enr) FROM College	easy
4,942	soccer_2	[ "college" ]	How many students are enrolled in college?	SELECT sum(enr) FROM College	easy
4,943	soccer_2	[ "college" ]	What is the average enrollment number?	SELECT avg(enr) FROM College	easy
4,944	soccer_2	[ "college" ]	How many students, on average, does each college have enrolled?	SELECT avg(enr) FROM College	easy
4,945	soccer_2	[ "college" ]	How many colleges in total?	SELECT count(*) FROM College	easy
4,946	soccer_2	[ "college" ]	How many different colleges are there?	SELECT count(*) FROM College	easy
4,947	soccer_2	[ "player" ]	How many players have more than 1000 hours of training?	SELECT count(*) FROM Player WHERE HS > 1000	easy
4,948	soccer_2	[ "player" ]	How many different players trained for more than 1000 hours?	SELECT count(*) FROM Player WHERE HS > 1000	easy
4,949	soccer_2	[ "college" ]	How many colleges has more than 15000 students?	SELECT count(*) FROM College WHERE enr > 15000	easy
4,950	soccer_2	[ "college" ]	What is the number of colleges with a student population greater than 15000?	SELECT count(*) FROM College WHERE enr > 15000	easy
4,951	soccer_2	[ "player" ]	What is the average training hours of all players?	SELECT avg(HS) FROM Player	easy
4,952	soccer_2	[ "player" ]	How many hours do the players train on average?	SELECT avg(HS) FROM Player	easy
4,953	soccer_2	[ "player" ]	Find the name and training hours of players whose hours are below 1500.	SELECT pName , HS FROM Player WHERE HS < 1500	medium
4,954	soccer_2	[ "player" ]	What are the names and number of hours spent training for each player who trains for less than 1500 hours?	SELECT pName , HS FROM Player WHERE HS < 1500	medium
4,955	soccer_2	[ "tryout" ]	How many different colleges do attend the tryout test?	SELECT count(DISTINCT cName) FROM tryout	easy
4,956	soccer_2	[ "tryout" ]	How many different colleges were represented at tryouts?	SELECT count(DISTINCT cName) FROM tryout	easy
4,957	soccer_2	[ "tryout" ]	What are the unique types of player positions in the tryout?	SELECT count(DISTINCT pPos) FROM tryout	easy
4,958	soccer_2	[ "tryout" ]	What are the different types of player positions?	SELECT count(DISTINCT pPos) FROM tryout	easy
4,959	soccer_2	[ "tryout" ]	How many students got accepted after the tryout?	SELECT count(*) FROM tryout WHERE decision = 'yes'	easy
4,960	soccer_2	[ "tryout" ]	How many students received a yes from tryouts?	SELECT count(*) FROM tryout WHERE decision = 'yes'	easy
4,961	soccer_2	[ "tryout" ]	How many students whose are playing the role of goalie?	SELECT count(*) FROM tryout WHERE pPos = 'goalie'	easy
4,962	soccer_2	[ "tryout" ]	What is the number of students playing as a goalie?	SELECT count(*) FROM tryout WHERE pPos = 'goalie'	easy
4,963	soccer_2	[ "player" ]	Find the max, average and min training hours of all players.	SELECT avg(HS) , max(HS) , min(HS) FROM Player	medium
4,964	soccer_2	[ "player" ]	What is the average, maximum, and minimum for the number of hours spent training?	SELECT avg(HS) , max(HS) , min(HS) FROM Player	medium
4,965	soccer_2	[ "college" ]	What is average enrollment of colleges in the state FL?	SELECT avg(enr) FROM College WHERE state = 'FL'	easy
4,966	soccer_2	[ "college" ]	What is average number of students enrolled in Florida colleges?	SELECT avg(enr) FROM College WHERE state = 'FL'	easy
4,967	soccer_2	[ "player" ]	What are the names of players whose training hours is between 500 and 1500?	SELECT pName FROM Player WHERE HS BETWEEN 500 AND 1500	easy
4,968	soccer_2	[ "player" ]	What are the names of players who train between 500 and 1500 hours?	SELECT pName FROM Player WHERE HS BETWEEN 500 AND 1500	easy
4,969	soccer_2	[ "player" ]	Find the players whose names contain letter 'a'.	SELECT DISTINCT pName FROM Player WHERE pName LIKE '%a%'	medium
4,970	soccer_2	[ "player" ]	Who are the players that have names containing the letter a?	SELECT DISTINCT pName FROM Player WHERE pName LIKE '%a%'	medium
4,971	soccer_2	[ "college" ]	Find the name, enrollment of the colleges whose size is bigger than 10000 and location is in state LA.	SELECT cName , enr FROM College WHERE enr > 10000 AND state = "LA"	medium
4,972	soccer_2	[ "college" ]	What are the names and enrollment numbers for colleges that have more than 10000 enrolled and are located in Louisiana?	SELECT cName , enr FROM College WHERE enr > 10000 AND state = "LA"	medium
4,973	soccer_2	[ "college" ]	List all information about college sorted by enrollment number in the ascending order.	SELECT * FROM College ORDER BY enr	easy
4,974	soccer_2	[ "college" ]	What information do you have on colleges sorted by increasing enrollment numbers?	SELECT * FROM College ORDER BY enr	easy
4,975	soccer_2	[ "college" ]	List the name of the colleges whose enrollment is greater 18000 sorted by the college's name.	SELECT cName FROM College WHERE enr > 18000 ORDER BY cName	medium
4,976	soccer_2	[ "college" ]	What is the name of every college in alphabetical order that has more than 18000 students enrolled?	SELECT cName FROM College WHERE enr > 18000 ORDER BY cName	medium
4,977	soccer_2	[ "player" ]	Find the name of players whose card is yes in the descending order of training hours.	SELECT pName FROM Player WHERE yCard = 'yes' ORDER BY HS DESC	medium
4,978	soccer_2	[ "player" ]	What are the name of the players who received a card in descending order of the hours of training?	SELECT pName FROM Player WHERE yCard = 'yes' ORDER BY HS DESC	medium
4,979	soccer_2	[ "tryout" ]	Find the name of different colleges involved in the tryout in alphabetical order.	SELECT DISTINCT cName FROM tryout ORDER BY cName	easy
4,980	soccer_2	[ "tryout" ]	What are the different names of the colleges involved in the tryout in alphabetical order?	SELECT DISTINCT cName FROM tryout ORDER BY cName	easy
4,981	soccer_2	[ "tryout" ]	Which position is most popular among players in the tryout?	SELECT pPos FROM tryout GROUP BY pPos ORDER BY count(*) DESC LIMIT 1	hard
4,982	soccer_2	[ "tryout" ]	What was the most popular position at tryouts?	SELECT pPos FROM tryout GROUP BY pPos ORDER BY count(*) DESC LIMIT 1	hard
4,983	soccer_2	[ "tryout" ]	Find the number of students who participate in the tryout for each college ordered by descending count.	SELECT count() , cName FROM tryout GROUP BY cName ORDER BY count() DESC	extra
4,984	soccer_2	[ "tryout" ]	How many students participated in tryouts for each college by descennding count?	SELECT count() , cName FROM tryout GROUP BY cName ORDER BY count() DESC	extra
4,985	soccer_2	[ "tryout", "player" ]	What is minimum hours of the students playing in different position?	SELECT min(T2.HS) , T1.pPos FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID GROUP BY T1.pPos	medium
4,986	soccer_2	[ "tryout", "player" ]	For each position, what is the minimum time students spent practicing?	SELECT min(T2.HS) , T1.pPos FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID GROUP BY T1.pPos	medium
4,987	soccer_2	[ "college" ]	What are the names of schools with the top 3 largest size?	SELECT cName FROM college ORDER BY enr DESC LIMIT 3	medium
4,988	soccer_2	[ "college" ]	What are the names of the schools with the top 3 largest class sizes?	SELECT cName FROM college ORDER BY enr DESC LIMIT 3	medium
4,989	soccer_2	[ "college" ]	What is the name of school that has the smallest enrollment in each state?	SELECT cName , state , min(enr) FROM college GROUP BY state	medium
4,990	soccer_2	[ "college" ]	What is the name of the school with smallest enrollment size per state?	SELECT cName , state , min(enr) FROM college GROUP BY state	medium
4,991	soccer_2	[ "tryout", "college" ]	Find the states where have some college students in tryout.	SELECT DISTINCT state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName	easy
4,992	soccer_2	[ "tryout", "college" ]	What are the different states that have students trying out?	SELECT DISTINCT state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName	easy
4,993	soccer_2	[ "tryout", "college" ]	Find the states where have some college students in tryout and their decisions are yes.	SELECT DISTINCT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes'	medium
4,994	soccer_2	[ "tryout", "college" ]	What are the different states that had students successfully try out?	SELECT DISTINCT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes'	medium
4,995	soccer_2	[ "tryout", "player" ]	Find the name and college of students whose decisions are yes in the tryout.	SELECT T1.pName , T2.cName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes'	medium
4,996	soccer_2	[ "tryout", "player" ]	What are the names of all the players who received a yes during tryouts, and also what are the names of their colleges?	SELECT T1.pName , T2.cName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes'	medium
4,997	soccer_2	[ "tryout", "player" ]	Find the name of all students who were in the tryout sorted in alphabetic order.	SELECT T1.pName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID ORDER BY T1.pName	medium
4,998	soccer_2	[ "tryout", "player" ]	What are the names of all students who tried out in alphabetical order?	SELECT T1.pName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID ORDER BY T1.pName	medium
4,999	soccer_2	[ "tryout", "player" ]	Find the name and hours of the students whose tryout decision is yes.	SELECT T1.pName , T1.HS FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes'	medium

4,900

store_product

[ "product" ]

What is the maximum page size for everything that has more than 3 products listed?

SELECT max_page_size FROM product GROUP BY max_page_size HAVING count(*) > 3

easy

4,901

store_product

[ "district" ]

Find the name and population of district with population between 200000 and 2000000

SELECT District_name , City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000

medium

4,902

store_product

[ "district" ]

What are the district names and city populations for all districts that between 200,000 and 2,000,000 residents?

SELECT District_name , City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000

medium

4,903

store_product

[ "district" ]

Find the name all districts with city area greater than 10 or population larger than 100000

SELECT district_name FROM district WHERE city_area > 10 OR City_Population > 100000

medium

4,904

store_product

[ "district" ]

What are the names of all districts with a city area greater than 10 or have more than 100000 people living there?

SELECT district_name FROM district WHERE city_area > 10 OR City_Population > 100000

medium

4,905

store_product

[ "district" ]

Which district has the largest population?

SELECT district_name FROM district ORDER BY city_population DESC LIMIT 1

medium

4,906

store_product

[ "district" ]

What is the name of the district with the most residents?

SELECT district_name FROM district ORDER BY city_population DESC LIMIT 1

medium

4,907

store_product

[ "district" ]

Which district has the least area?

SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1

medium

4,908

store_product

[ "district" ]

What is the name of the district with the smallest area?

SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1

medium

4,909

store_product

[ "district" ]

Find the total population of the top 3 districts with the largest area.

SELECT sum(city_population) FROM district ORDER BY city_area DESC LIMIT 3

medium

4,910

store_product

[ "district" ]

What is the total number of residents for the districts with the 3 largest areas?

SELECT sum(city_population) FROM district ORDER BY city_area DESC LIMIT 3

medium

4,911

store_product

[ "store" ]

Find all types of store and number of them.

SELECT TYPE , count(*) FROM store GROUP BY TYPE

medium

4,912

store_product

[ "store" ]

For each type of store, how many of them are there?

SELECT TYPE , count(*) FROM store GROUP BY TYPE

medium

4,913

store_product

[ "store", "district", "store_district" ]

Find the names of all stores in Khanewal District.

SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t3.district_name = "Khanewal District"

hard

4,914

store_product

[ "store", "district", "store_district" ]

What are the names of all the stores located in Khanewal District?

SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t3.district_name = "Khanewal District"

hard

4,915

store_product

[ "store", "district", "store_district" ]

Find all the stores in the district with the most population.

SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id WHERE district_id = (SELECT district_id FROM district ORDER BY city_population DESC LIMIT 1)

extra

4,916

store_product

[ "store", "district", "store_district" ]

What are the names of all the stores in the largest district by population?

SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id WHERE district_id = (SELECT district_id FROM district ORDER BY city_population DESC LIMIT 1)

extra

4,917

store_product

[ "store", "district", "store_district" ]

Which city is the headquarter of the store named "Blackville" in?

SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.store_name = "Blackville"

hard

4,918

store_product

[ "store", "district", "store_district" ]

What city is the headquarter of the store Blackville?

SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.store_name = "Blackville"

hard

4,919

store_product

[ "store", "district", "store_district" ]

Find the number of stores in each city.

SELECT t3.headquartered_city , count(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city

hard

4,920

store_product

[ "store", "district", "store_district" ]

How many stores are headquarted in each city?

SELECT t3.headquartered_city , count(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city

hard

4,921

store_product

[ "store", "district", "store_district" ]

Find the city with the most number of stores.

SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city ORDER BY count(*) DESC LIMIT 1

extra

4,922

store_product

[ "store", "district", "store_district" ]

What is the city with the most number of flagship stores?

SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city ORDER BY count(*) DESC LIMIT 1

extra

4,923

store_product

[ "product" ]

What is the average pages per minute color?

SELECT avg(pages_per_minute_color) FROM product

easy

4,924

store_product

[ "product" ]

What is the average number of pages per minute color?

SELECT avg(pages_per_minute_color) FROM product

easy

4,925

store_product

[ "store", "store_product", "product" ]

What products are available at store named "Miramichi"?

SELECT t1.product FROM product AS t1 JOIN store_product AS t2 ON t1.product_id = t2.product_id JOIN store AS t3 ON t2.store_id = t3.store_id WHERE t3.store_name = "Miramichi"

hard

4,926

store_product

[ "store", "store_product", "product" ]

What products are sold at the store named Miramichi?

SELECT t1.product FROM product AS t1 JOIN store_product AS t2 ON t1.product_id = t2.product_id JOIN store AS t3 ON t2.store_id = t3.store_id WHERE t3.store_name = "Miramichi"

hard

4,927

store_product

[ "product" ]

Find products with max page size as "A4" and pages per minute color smaller than 5.

SELECT product FROM product WHERE max_page_size = "A4" AND pages_per_minute_color < 5

medium

4,928

store_product

[ "product" ]

What are the products with the maximum page size A4 that also have a pages per minute color smaller than 5?

SELECT product FROM product WHERE max_page_size = "A4" AND pages_per_minute_color < 5

medium

4,929

store_product

[ "product" ]

Find products with max page size as "A4" or pages per minute color smaller than 5.

SELECT product FROM product WHERE max_page_size = "A4" OR pages_per_minute_color < 5

medium

4,930

store_product

[ "product" ]

What are the products with the maximum page size eqal to A4 or a pages per minute color less than 5?

SELECT product FROM product WHERE max_page_size = "A4" OR pages_per_minute_color < 5

medium

4,931

store_product

[ "product" ]

Find all the product whose name contains the word "Scanner".

SELECT product FROM product WHERE product LIKE "%Scanner%"

medium

4,932

store_product

[ "product" ]

What are all of the products whose name includes the substring "Scanner"?

SELECT product FROM product WHERE product LIKE "%Scanner%"

medium

4,933

store_product

[ "product" ]

Find the most prominent max page size among all the products.

SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1

hard

4,934

store_product

[ "product" ]

What is the most common maximum page size?

SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1

hard

4,935

store_product

[ "product" ]

Find the name of the products that are not using the most frequently-used max page size.

SELECT product FROM product WHERE product != (SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1)

hard

4,936

store_product

[ "product" ]

What are the names of all products that are not the most frequently-used maximum page size?

SELECT product FROM product WHERE product != (SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1)

hard

4,937

store_product

[ "district" ]

Find the total population of the districts where the area is bigger than the average city area.

SELECT sum(city_population) FROM district WHERE city_area > (SELECT avg(city_area) FROM district)

hard

4,938

store_product

[ "district" ]

What is the total population for all the districts that have an area larger tahn the average city area?

SELECT sum(city_population) FROM district WHERE city_area > (SELECT avg(city_area) FROM district)

hard

4,939

store_product

[ "store", "district", "store_district" ]

Find the names of districts where have both city mall and village store type stores.

SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "City Mall" INTERSECT SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "Village Store"

extra

4,940

store_product

[ "store", "district", "store_district" ]

What are the names of the districts that have both mall and village store style shops?

SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "City Mall" INTERSECT SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "Village Store"

extra

4,941

soccer_2

[ "college" ]

What is the total enrollment number of all colleges?

SELECT sum(enr) FROM College

easy

4,942

soccer_2

[ "college" ]

How many students are enrolled in college?

SELECT sum(enr) FROM College

easy

4,943

soccer_2

[ "college" ]

What is the average enrollment number?

SELECT avg(enr) FROM College

easy

4,944

soccer_2

[ "college" ]

How many students, on average, does each college have enrolled?

SELECT avg(enr) FROM College

easy

4,945

soccer_2

[ "college" ]

How many colleges in total?

SELECT count(*) FROM College

easy

4,946

soccer_2

[ "college" ]

How many different colleges are there?

SELECT count(*) FROM College

easy

4,947

soccer_2

[ "player" ]

How many players have more than 1000 hours of training?

SELECT count(*) FROM Player WHERE HS > 1000

easy

4,948

soccer_2

[ "player" ]

How many different players trained for more than 1000 hours?

SELECT count(*) FROM Player WHERE HS > 1000

easy

4,949

soccer_2

[ "college" ]

How many colleges has more than 15000 students?

SELECT count(*) FROM College WHERE enr > 15000

easy

4,950

soccer_2

[ "college" ]

What is the number of colleges with a student population greater than 15000?

SELECT count(*) FROM College WHERE enr > 15000

easy

4,951

soccer_2

[ "player" ]

What is the average training hours of all players?

SELECT avg(HS) FROM Player

easy

4,952

soccer_2

[ "player" ]

How many hours do the players train on average?

SELECT avg(HS) FROM Player

easy

4,953

soccer_2

[ "player" ]

Find the name and training hours of players whose hours are below 1500.

SELECT pName , HS FROM Player WHERE HS < 1500

medium

4,954

soccer_2

[ "player" ]

What are the names and number of hours spent training for each player who trains for less than 1500 hours?

SELECT pName , HS FROM Player WHERE HS < 1500

medium

4,955

soccer_2

[ "tryout" ]

How many different colleges do attend the tryout test?

SELECT count(DISTINCT cName) FROM tryout

easy

4,956

soccer_2

[ "tryout" ]

How many different colleges were represented at tryouts?

SELECT count(DISTINCT cName) FROM tryout

easy

4,957

soccer_2

[ "tryout" ]

What are the unique types of player positions in the tryout?

SELECT count(DISTINCT pPos) FROM tryout

easy

4,958

soccer_2

[ "tryout" ]

What are the different types of player positions?

SELECT count(DISTINCT pPos) FROM tryout

easy

4,959

soccer_2

[ "tryout" ]

How many students got accepted after the tryout?

SELECT count(*) FROM tryout WHERE decision = 'yes'

easy

4,960

soccer_2

[ "tryout" ]

How many students received a yes from tryouts?

SELECT count(*) FROM tryout WHERE decision = 'yes'

easy

4,961

soccer_2

[ "tryout" ]

How many students whose are playing the role of goalie?

SELECT count(*) FROM tryout WHERE pPos = 'goalie'

easy

4,962

soccer_2

[ "tryout" ]

What is the number of students playing as a goalie?

SELECT count(*) FROM tryout WHERE pPos = 'goalie'

easy

4,963

soccer_2

[ "player" ]

Find the max, average and min training hours of all players.

SELECT avg(HS) , max(HS) , min(HS) FROM Player

medium

4,964

soccer_2

[ "player" ]

What is the average, maximum, and minimum for the number of hours spent training?

SELECT avg(HS) , max(HS) , min(HS) FROM Player

medium

4,965

soccer_2

[ "college" ]

What is average enrollment of colleges in the state FL?

SELECT avg(enr) FROM College WHERE state = 'FL'

easy

4,966

soccer_2

[ "college" ]

What is average number of students enrolled in Florida colleges?

SELECT avg(enr) FROM College WHERE state = 'FL'

easy

4,967

soccer_2

[ "player" ]

What are the names of players whose training hours is between 500 and 1500?

SELECT pName FROM Player WHERE HS BETWEEN 500 AND 1500

easy

4,968

soccer_2

[ "player" ]

What are the names of players who train between 500 and 1500 hours?

SELECT pName FROM Player WHERE HS BETWEEN 500 AND 1500

easy

4,969

soccer_2

[ "player" ]

Find the players whose names contain letter 'a'.

SELECT DISTINCT pName FROM Player WHERE pName LIKE '%a%'

medium

4,970

soccer_2

[ "player" ]

Who are the players that have names containing the letter a?

SELECT DISTINCT pName FROM Player WHERE pName LIKE '%a%'

medium

4,971

soccer_2

[ "college" ]

Find the name, enrollment of the colleges whose size is bigger than 10000 and location is in state LA.

SELECT cName , enr FROM College WHERE enr > 10000 AND state = "LA"

medium

4,972

soccer_2

[ "college" ]

What are the names and enrollment numbers for colleges that have more than 10000 enrolled and are located in Louisiana?

SELECT cName , enr FROM College WHERE enr > 10000 AND state = "LA"

medium

4,973

soccer_2

[ "college" ]

List all information about college sorted by enrollment number in the ascending order.

SELECT * FROM College ORDER BY enr

easy

4,974

soccer_2

[ "college" ]

What information do you have on colleges sorted by increasing enrollment numbers?

SELECT * FROM College ORDER BY enr

easy

4,975

soccer_2

[ "college" ]

List the name of the colleges whose enrollment is greater 18000 sorted by the college's name.

SELECT cName FROM College WHERE enr > 18000 ORDER BY cName

medium

4,976

soccer_2

[ "college" ]

What is the name of every college in alphabetical order that has more than 18000 students enrolled?

SELECT cName FROM College WHERE enr > 18000 ORDER BY cName

medium

4,977

soccer_2

[ "player" ]

Find the name of players whose card is yes in the descending order of training hours.

SELECT pName FROM Player WHERE yCard = 'yes' ORDER BY HS DESC

medium

4,978

soccer_2

[ "player" ]

What are the name of the players who received a card in descending order of the hours of training?

SELECT pName FROM Player WHERE yCard = 'yes' ORDER BY HS DESC

medium

4,979

soccer_2

[ "tryout" ]

Find the name of different colleges involved in the tryout in alphabetical order.

SELECT DISTINCT cName FROM tryout ORDER BY cName

easy

4,980

soccer_2

[ "tryout" ]

What are the different names of the colleges involved in the tryout in alphabetical order?

SELECT DISTINCT cName FROM tryout ORDER BY cName

easy

4,981

soccer_2

[ "tryout" ]

Which position is most popular among players in the tryout?

SELECT pPos FROM tryout GROUP BY pPos ORDER BY count(*) DESC LIMIT 1

hard

4,982

soccer_2

[ "tryout" ]

What was the most popular position at tryouts?

SELECT pPos FROM tryout GROUP BY pPos ORDER BY count(*) DESC LIMIT 1

hard

4,983

soccer_2

[ "tryout" ]

Find the number of students who participate in the tryout for each college ordered by descending count.

SELECT count(*) , cName FROM tryout GROUP BY cName ORDER BY count(*) DESC

extra

4,984

soccer_2

[ "tryout" ]

How many students participated in tryouts for each college by descennding count?

SELECT count(*) , cName FROM tryout GROUP BY cName ORDER BY count(*) DESC

extra

4,985

soccer_2

[ "tryout", "player" ]

What is minimum hours of the students playing in different position?

SELECT min(T2.HS) , T1.pPos FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID GROUP BY T1.pPos

medium

4,986

soccer_2

[ "tryout", "player" ]

For each position, what is the minimum time students spent practicing?

SELECT min(T2.HS) , T1.pPos FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID GROUP BY T1.pPos

medium

4,987

soccer_2

[ "college" ]

What are the names of schools with the top 3 largest size?

SELECT cName FROM college ORDER BY enr DESC LIMIT 3

medium

4,988

soccer_2

[ "college" ]

What are the names of the schools with the top 3 largest class sizes?

SELECT cName FROM college ORDER BY enr DESC LIMIT 3

medium

4,989

soccer_2

[ "college" ]

What is the name of school that has the smallest enrollment in each state?

SELECT cName , state , min(enr) FROM college GROUP BY state

medium

4,990

soccer_2

[ "college" ]

What is the name of the school with smallest enrollment size per state?

SELECT cName , state , min(enr) FROM college GROUP BY state

medium

4,991

soccer_2

[ "tryout", "college" ]

Find the states where have some college students in tryout.

SELECT DISTINCT state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName

easy

4,992

soccer_2

[ "tryout", "college" ]

What are the different states that have students trying out?

SELECT DISTINCT state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName

easy

4,993

soccer_2

[ "tryout", "college" ]

Find the states where have some college students in tryout and their decisions are yes.

SELECT DISTINCT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes'

medium

4,994

soccer_2

[ "tryout", "college" ]

What are the different states that had students successfully try out?

SELECT DISTINCT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes'

medium

4,995

soccer_2

[ "tryout", "player" ]

Find the name and college of students whose decisions are yes in the tryout.

SELECT T1.pName , T2.cName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes'

medium

4,996

soccer_2

[ "tryout", "player" ]

What are the names of all the players who received a yes during tryouts, and also what are the names of their colleges?

SELECT T1.pName , T2.cName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes'

medium

4,997

soccer_2

[ "tryout", "player" ]

Find the name of all students who were in the tryout sorted in alphabetic order.

SELECT T1.pName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID ORDER BY T1.pName

medium

4,998

soccer_2

[ "tryout", "player" ]

What are the names of all students who tried out in alphabetical order?

SELECT T1.pName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID ORDER BY T1.pName

medium

4,999

soccer_2

[ "tryout", "player" ]

Find the name and hours of the students whose tryout decision is yes.

SELECT T1.pName , T1.HS FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes'

medium