query_id
int64
0
7k
database_id
stringclasses
140 values
table_id
sequencelengths
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