db_id stringclasses 140
values | question stringlengths 16 224 | query stringlengths 18 577 | db_schema stringclasses 140
values | question_toks listlengths 4 44 |
|---|---|---|---|---|
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... | [
"Find",
"the",
"name",
"all",
"districts",
"with",
"city",
"area",
"greater",
"than",
"10",
"or",
"population",
"larger",
"than",
"100000"
] |
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... | [
"What",
"are",
"the",
"names",
"of",
"all",
"districts",
"with",
"a",
"city",
"area",
"greater",
"than",
"10",
"or",
"have",
"more",
"than",
"100000",
"people",
"living",
"there",
"?"
] |
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... | [
"What",
"is",
"the",
"name",
"of",
"the",
"district",
"with",
"the",
"smallest",
"area",
"?"
] |
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... | [
"Find",
"the",
"total",
"population",
"of",
"the",
"top",
"3",
"districts",
"with",
"the",
"largest",
"area",
"."
] |
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... | [
"Find",
"all",
"types",
"of",
"store",
"and",
"number",
"of",
"them",
"."
] |
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... | [
"Find",
"the",
"names",
"of",
"all",
"stores",
"in",
"Khanewal",
"District",
"."
] |
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... | [
"Find",
"all",
"the",
"stores",
"in",
"the",
"district",
"with",
"the",
"most",
"population",
"."
] |
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... | [
"What",
"are",
"the",
"names",
"of",
"all",
"the",
"stores",
"in",
"the",
"largest",
"district",
"by",
"population",
"?"
] |
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... | [
"Which",
"city",
"is",
"the",
"headquarter",
"of",
"the",
"store",
"named",
"``",
"Blackville",
"''",
"in",
"?"
] |
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... | [
"What",
"city",
"is",
"the",
"headquarter",
"of",
"the",
"store",
"Blackville",
"?"
] |
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... | [
"Find",
"the",
"number",
"of",
"stores",
"in",
"each",
"city",
"."
] |
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... | [
"Find",
"the",
"city",
"with",
"the",
"most",
"number",
"of",
"stores",
"."
] |
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... | [
"What",
"products",
"are",
"available",
"at",
"store",
"named",
"``",
"Miramichi",
"''",
"?"
] |
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... | [
"What",
"products",
"are",
"sold",
"at",
"the",
"store",
"named",
"Miramichi",
"?"
] |
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... | [
"Find",
"products",
"with",
"max",
"page",
"size",
"as",
"``",
"A4",
"''",
"and",
"pages",
"per",
"minute",
"color",
"smaller",
"than",
"5",
"."
] |
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... | [
"What",
"are",
"the",
"products",
"with",
"the",
"maximum",
"page",
"size",
"A4",
"that",
"also",
"have",
"a",
"pages",
"per",
"minute",
"color",
"smaller",
"than",
"5",
"?"
] |
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... | [
"Find",
"products",
"with",
"max",
"page",
"size",
"as",
"``",
"A4",
"''",
"or",
"pages",
"per",
"minute",
"color",
"smaller",
"than",
"5",
"."
] |
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... | [
"What",
"are",
"the",
"products",
"with",
"the",
"maximum",
"page",
"size",
"eqal",
"to",
"A4",
"or",
"a",
"pages",
"per",
"minute",
"color",
"less",
"than",
"5",
"?"
] |
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... | [
"Find",
"all",
"the",
"product",
"whose",
"name",
"contains",
"the",
"word",
"``",
"Scanner",
"''",
"."
] |
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... | [
"What",
"are",
"all",
"of",
"the",
"products",
"whose",
"name",
"includes",
"the",
"substring",
"``",
"Scanner",
"''",
"?"
] |
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... | [
"Find",
"the",
"most",
"prominent",
"max",
"page",
"size",
"among",
"all",
"the",
"products",
"."
] |
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... | [
"Find",
"the",
"name",
"of",
"the",
"products",
"that",
"are",
"not",
"using",
"the",
"most",
"frequently-used",
"max",
"page",
"size",
"."
] |
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... | [
"What",
"are",
"the",
"names",
"of",
"all",
"products",
"that",
"are",
"not",
"the",
"most",
"frequently-used",
"maximum",
"page",
"size",
"?"
] |
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",
"?"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.