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store_product
Find all the distinct district names ordered by city area in descending.
SELECT DISTINCT District_name FROM district ORDER BY city_area DESC
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "Find", "all", "the", "distinct", "district", "names", "ordered", "by", "city", "area", "in", "descending", "." ]
store_product
What are the different district names in order of descending city area?
SELECT DISTINCT District_name FROM district ORDER BY city_area DESC
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "are", "the", "different", "district", "names", "in", "order", "of", "descending", "city", "area", "?" ]
store_product
Find the list of page size which have more than 3 product listed
SELECT max_page_size FROM product GROUP BY max_page_size HAVING count(*) > 3
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "Find", "the", "list", "of", "page", "size", "which", "have", "more", "than", "3", "product", "listed" ]
store_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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "is", "the", "maximum", "page", "size", "for", "everything", "that", "has", "more", "than", "3", "products", "listed", "?" ]
store_product
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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "Find", "the", "name", "and", "population", "of", "district", "with", "population", "between", "200000", "and", "2000000" ]
store_product
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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "are", "the", "district", "names", "and", "city", "populations", "for", "all", "districts", "that", "between", "200,000", "and", "2,000,000", "residents", "?" ]
store_product
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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
Which district has the largest population?
SELECT district_name FROM district ORDER BY city_population DESC LIMIT 1
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "Which", "district", "has", "the", "largest", "population", "?" ]
store_product
What is the name of the district with the most residents?
SELECT district_name FROM district ORDER BY city_population DESC LIMIT 1
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "is", "the", "name", "of", "the", "district", "with", "the", "most", "residents", "?" ]
store_product
Which district has the least area?
SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "Which", "district", "has", "the", "least", "area", "?" ]
store_product
What is the name of the district with the smallest area?
SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "is", "the", "total", "number", "of", "residents", "for", "the", "districts", "with", "the", "3", "largest", "areas", "?" ]
store_product
Find all types of store and number of them.
SELECT TYPE , count(*) FROM store GROUP BY TYPE
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
For each type of store, how many of them are there?
SELECT TYPE , count(*) FROM store GROUP BY TYPE
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "For", "each", "type", "of", "store", ",", "how", "many", "of", "them", "are", "there", "?" ]
store_product
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"
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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"
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "are", "the", "names", "of", "all", "the", "stores", "located", "in", "Khanewal", "District", "?" ]
store_product
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)
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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)
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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"
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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"
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "How", "many", "stores", "are", "headquarted", "in", "each", "city", "?" ]
store_product
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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "is", "the", "city", "with", "the", "most", "number", "of", "flagship", "stores", "?" ]
store_product
What is the average pages per minute color?
SELECT avg(pages_per_minute_color) FROM product
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "is", "the", "average", "pages", "per", "minute", "color", "?" ]
store_product
What is the average number of pages per minute color?
SELECT avg(pages_per_minute_color) FROM product
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "is", "the", "average", "number", "of", "pages", "per", "minute", "color", "?" ]
store_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"
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_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"
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
Find all the product whose name contains the word "Scanner".
SELECT product FROM product WHERE product LIKE "%Scanner%"
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
What are all of the products whose name includes the substring "Scanner"?
SELECT product FROM product WHERE product LIKE "%Scanner%"
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_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
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "is", "the", "most", "common", "maximum", "page", "size", "?" ]
store_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)
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_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)
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
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store_product
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)
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "Find", "the", "total", "population", "of", "the", "districts", "where", "the", "area", "is", "bigger", "than", "the", "average", "city", "area", "." ]
store_product
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)
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "is", "the", "total", "population", "for", "all", "the", "districts", "that", "have", "an", "area", "larger", "tahn", "the", "average", "city", "area", "?" ]
store_product
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.d...
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "Find", "the", "names", "of", "districts", "where", "have", "both", "city", "mall", "and", "village", "store", "type", "stores", "." ]
store_product
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.d...
product: product_id (number), product (text), dimensions (text), dpi (number), pages_per_minute_color (number), max_page_size (text), interface (text) | store: Store_ID (number), Store_Name (text), Type (text), Area_size (number), Number_of_product_category (number), Ranking (number) | district: District_ID (number), D...
[ "What", "are", "the", "names", "of", "the", "districts", "that", "have", "both", "mall", "and", "village", "store", "style", "shops", "?" ]
soccer_2
What is the total enrollment number of all colleges?
SELECT sum(enr) FROM College
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "the", "total", "enrollment", "number", "of", "all", "colleges", "?" ]
soccer_2
How many students are enrolled in college?
SELECT sum(enr) FROM College
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "students", "are", "enrolled", "in", "college", "?" ]
soccer_2
What is the average enrollment number?
SELECT avg(enr) FROM College
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "the", "average", "enrollment", "number", "?" ]
soccer_2
How many students, on average, does each college have enrolled?
SELECT avg(enr) FROM College
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "students", ",", "on", "average", ",", "does", "each", "college", "have", "enrolled", "?" ]
soccer_2
How many colleges in total?
SELECT count(*) FROM College
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "colleges", "in", "total", "?" ]
soccer_2
How many different colleges are there?
SELECT count(*) FROM College
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "different", "colleges", "are", "there", "?" ]
soccer_2
How many players have more than 1000 hours of training?
SELECT count(*) FROM Player WHERE HS > 1000
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "players", "have", "more", "than", "1000", "hours", "of", "training", "?" ]
soccer_2
How many different players trained for more than 1000 hours?
SELECT count(*) FROM Player WHERE HS > 1000
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "different", "players", "trained", "for", "more", "than", "1000", "hours", "?" ]
soccer_2
How many colleges has more than 15000 students?
SELECT count(*) FROM College WHERE enr > 15000
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "colleges", "has", "more", "than", "15000", "students", "?" ]
soccer_2
What is the number of colleges with a student population greater than 15000?
SELECT count(*) FROM College WHERE enr > 15000
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "the", "number", "of", "colleges", "with", "a", "student", "population", "greater", "than", "15000", "?" ]
soccer_2
What is the average training hours of all players?
SELECT avg(HS) FROM Player
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "the", "average", "training", "hours", "of", "all", "players", "?" ]
soccer_2
How many hours do the players train on average?
SELECT avg(HS) FROM Player
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "hours", "do", "the", "players", "train", "on", "average", "?" ]
soccer_2
Find the name and training hours of players whose hours are below 1500.
SELECT pName , HS FROM Player WHERE HS < 1500
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Find", "the", "name", "and", "training", "hours", "of", "players", "whose", "hours", "are", "below", "1500", "." ]
soccer_2
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
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "names", "and", "number", "of", "hours", "spent", "training", "for", "each", "player", "who", "trains", "for", "less", "than", "1500", "hours", "?" ]
soccer_2
How many different colleges do attend the tryout test?
SELECT count(DISTINCT cName) FROM tryout
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "different", "colleges", "do", "attend", "the", "tryout", "test", "?" ]
soccer_2
How many different colleges were represented at tryouts?
SELECT count(DISTINCT cName) FROM tryout
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "different", "colleges", "were", "represented", "at", "tryouts", "?" ]
soccer_2
What are the unique types of player positions in the tryout?
SELECT count(DISTINCT pPos) FROM tryout
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "unique", "types", "of", "player", "positions", "in", "the", "tryout", "?" ]
soccer_2
What are the different types of player positions?
SELECT count(DISTINCT pPos) FROM tryout
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "different", "types", "of", "player", "positions", "?" ]
soccer_2
How many students got accepted after the tryout?
SELECT count(*) FROM tryout WHERE decision = 'yes'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "students", "got", "accepted", "after", "the", "tryout", "?" ]
soccer_2
How many students received a yes from tryouts?
SELECT count(*) FROM tryout WHERE decision = 'yes'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "students", "received", "a", "yes", "from", "tryouts", "?" ]
soccer_2
How many students whose are playing the role of goalie?
SELECT count(*) FROM tryout WHERE pPos = 'goalie'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "students", "whose", "are", "playing", "the", "role", "of", "goalie", "?" ]
soccer_2
What is the number of students playing as a goalie?
SELECT count(*) FROM tryout WHERE pPos = 'goalie'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "the", "number", "of", "students", "playing", "as", "a", "goalie", "?" ]
soccer_2
Find the max, average and min training hours of all players.
SELECT avg(HS) , max(HS) , min(HS) FROM Player
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Find", "the", "max", ",", "average", "and", "min", "training", "hours", "of", "all", "players", "." ]
soccer_2
What is the average, maximum, and minimum for the number of hours spent training?
SELECT avg(HS) , max(HS) , min(HS) FROM Player
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "the", "average", ",", "maximum", ",", "and", "minimum", "for", "the", "number", "of", "hours", "spent", "training", "?" ]
soccer_2
What is average enrollment of colleges in the state FL?
SELECT avg(enr) FROM College WHERE state = 'FL'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "average", "enrollment", "of", "colleges", "in", "the", "state", "FL", "?" ]
soccer_2
What is average number of students enrolled in Florida colleges?
SELECT avg(enr) FROM College WHERE state = 'FL'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "average", "number", "of", "students", "enrolled", "in", "Florida", "colleges", "?" ]
soccer_2
What are the names of players whose training hours is between 500 and 1500?
SELECT pName FROM Player WHERE HS BETWEEN 500 AND 1500
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "names", "of", "players", "whose", "training", "hours", "is", "between", "500", "and", "1500", "?" ]
soccer_2
What are the names of players who train between 500 and 1500 hours?
SELECT pName FROM Player WHERE HS BETWEEN 500 AND 1500
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "names", "of", "players", "who", "train", "between", "500", "and", "1500", "hours", "?" ]
soccer_2
Find the players whose names contain letter 'a'.
SELECT DISTINCT pName FROM Player WHERE pName LIKE '%a%'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Find", "the", "players", "whose", "names", "contain", "letter", "'a", "'", "." ]
soccer_2
Who are the players that have names containing the letter a?
SELECT DISTINCT pName FROM Player WHERE pName LIKE '%a%'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Who", "are", "the", "players", "that", "have", "names", "containing", "the", "letter", "a", "?" ]
soccer_2
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"
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Find", "the", "name", ",", "enrollment", "of", "the", "colleges", "whose", "size", "is", "bigger", "than", "10000", "and", "location", "is", "in", "state", "LA", "." ]
soccer_2
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"
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "names", "and", "enrollment", "numbers", "for", "colleges", "that", "have", "more", "than", "10000", "enrolled", "and", "are", "located", "in", "Louisiana", "?" ]
soccer_2
List all information about college sorted by enrollment number in the ascending order.
SELECT * FROM College ORDER BY enr
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "List", "all", "information", "about", "college", "sorted", "by", "enrollment", "number", "in", "the", "ascending", "order", "." ]
soccer_2
What information do you have on colleges sorted by increasing enrollment numbers?
SELECT * FROM College ORDER BY enr
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "information", "do", "you", "have", "on", "colleges", "sorted", "by", "increasing", "enrollment", "numbers", "?" ]
soccer_2
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
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "List", "the", "name", "of", "the", "colleges", "whose", "enrollment", "is", "greater", "18000", "sorted", "by", "the", "college", "'s", "name", "." ]
soccer_2
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
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "the", "name", "of", "every", "college", "in", "alphabetical", "order", "that", "has", "more", "than", "18000", "students", "enrolled", "?" ]
soccer_2
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
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Find", "the", "name", "of", "players", "whose", "card", "is", "yes", "in", "the", "descending", "order", "of", "training", "hours", "." ]
soccer_2
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
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "name", "of", "the", "players", "who", "received", "a", "card", "in", "descending", "order", "of", "the", "hours", "of", "training", "?" ]
soccer_2
Find the name of different colleges involved in the tryout in alphabetical order.
SELECT DISTINCT cName FROM tryout ORDER BY cName
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Find", "the", "name", "of", "different", "colleges", "involved", "in", "the", "tryout", "in", "alphabetical", "order", "." ]
soccer_2
What are the different names of the colleges involved in the tryout in alphabetical order?
SELECT DISTINCT cName FROM tryout ORDER BY cName
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "different", "names", "of", "the", "colleges", "involved", "in", "the", "tryout", "in", "alphabetical", "order", "?" ]
soccer_2
Which position is most popular among players in the tryout?
SELECT pPos FROM tryout GROUP BY pPos ORDER BY count(*) DESC LIMIT 1
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Which", "position", "is", "most", "popular", "among", "players", "in", "the", "tryout", "?" ]
soccer_2
What was the most popular position at tryouts?
SELECT pPos FROM tryout GROUP BY pPos ORDER BY count(*) DESC LIMIT 1
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "was", "the", "most", "popular", "position", "at", "tryouts", "?" ]
soccer_2
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
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Find", "the", "number", "of", "students", "who", "participate", "in", "the", "tryout", "for", "each", "college", "ordered", "by", "descending", "count", "." ]
soccer_2
How many students participated in tryouts for each college by descennding count?
SELECT count(*) , cName FROM tryout GROUP BY cName ORDER BY count(*) DESC
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "How", "many", "students", "participated", "in", "tryouts", "for", "each", "college", "by", "descennding", "count", "?" ]
soccer_2
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
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "minimum", "hours", "of", "the", "students", "playing", "in", "different", "position", "?" ]
soccer_2
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
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "For", "each", "position", ",", "what", "is", "the", "minimum", "time", "students", "spent", "practicing", "?" ]
soccer_2
What are the names of schools with the top 3 largest size?
SELECT cName FROM college ORDER BY enr DESC LIMIT 3
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "names", "of", "schools", "with", "the", "top", "3", "largest", "size", "?" ]
soccer_2
What are the names of the schools with the top 3 largest class sizes?
SELECT cName FROM college ORDER BY enr DESC LIMIT 3
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "names", "of", "the", "schools", "with", "the", "top", "3", "largest", "class", "sizes", "?" ]
soccer_2
What is the name of school that has the smallest enrollment in each state?
SELECT cName , state , min(enr) FROM college GROUP BY state
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "the", "name", "of", "school", "that", "has", "the", "smallest", "enrollment", "in", "each", "state", "?" ]
soccer_2
What is the name of the school with smallest enrollment size per state?
SELECT cName , state , min(enr) FROM college GROUP BY state
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "is", "the", "name", "of", "the", "school", "with", "smallest", "enrollment", "size", "per", "state", "?" ]
soccer_2
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
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Find", "the", "states", "where", "have", "some", "college", "students", "in", "tryout", "." ]
soccer_2
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
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "different", "states", "that", "have", "students", "trying", "out", "?" ]
soccer_2
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'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Find", "the", "states", "where", "have", "some", "college", "students", "in", "tryout", "and", "their", "decisions", "are", "yes", "." ]
soccer_2
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'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "different", "states", "that", "had", "students", "successfully", "try", "out", "?" ]
soccer_2
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'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "Find", "the", "name", "and", "college", "of", "students", "whose", "decisions", "are", "yes", "in", "the", "tryout", "." ]
soccer_2
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'
College: cName (text), state (text), enr (number) | Player: pID (number), pName (text), yCard (text), HS (number) | Tryout: pID (number), cName (text), pPos (text), decision (text)
[ "What", "are", "the", "names", "of", "all", "the", "players", "who", "received", "a", "yes", "during", "tryouts", ",", "and", "also", "what", "are", "the", "names", "of", "their", "colleges", "?" ]