Datasets:
AayushShah
/
Univeral_SQL_Three_Datasets_Combined_WithText_IDs

Dataset card Data Studio Files Community
1
NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
sequence
attention_mask
sequence
labels
sequence
Find the number of products with category "Spices" and typically sold above 1000.
SELECT COUNT(*) FROM products WHERE product_category_code = "Spices" AND typical_buying_price > 1000
CREATE TABLE products (product_category_code VARCHAR, typical_buying_price VARCHAR)
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What is the category and typical buying price of the product with name "cumin"?
SELECT product_category_code, typical_buying_price FROM products WHERE product_name = "cumin"
CREATE TABLE products (product_category_code VARCHAR, typical_buying_price VARCHAR, product_name VARCHAR)
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Which category does the product named "flax" belong to?
SELECT product_category_code FROM products WHERE product_name = "flax"
CREATE TABLE products (product_category_code VARCHAR, product_name VARCHAR)
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What is the name of the product with the color description 'yellow'?
SELECT T1.product_name FROM products AS T1 JOIN ref_colors AS T2 ON T1.color_code = T2.color_code WHERE T2.color_description = 'yellow'
CREATE TABLE ref_colors (color_code VARCHAR, color_description VARCHAR); CREATE TABLE products (product_name VARCHAR, color_code VARCHAR)
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Find the category descriptions of the products whose descriptions include letter 't'.
SELECT T1.product_category_description FROM ref_product_categories AS T1 JOIN products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%'
CREATE TABLE ref_product_categories (product_category_description VARCHAR, product_category_code VARCHAR); CREATE TABLE products (product_category_code VARCHAR, product_description VARCHAR)
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What is the color description of the product with name "catnip"?
SELECT t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t1.product_name = "catnip"
CREATE TABLE products (color_code VARCHAR, product_name VARCHAR); CREATE TABLE ref_colors (color_description VARCHAR, color_code VARCHAR)
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What is the color code and description of the product named "chervil"?
SELECT t1.color_code, t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t1.product_name = "chervil"
CREATE TABLE products (color_code VARCHAR, product_name VARCHAR); CREATE TABLE ref_colors (color_description VARCHAR, color_code VARCHAR)
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Find the id and color description of the products with at least 2 characteristics.
SELECT t1.product_id, t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code JOIN product_characteristics AS t3 ON t1.product_id = t3.product_id GROUP BY t1.product_id HAVING COUNT(*) >= 2
CREATE TABLE product_characteristics (product_id VARCHAR); CREATE TABLE ref_colors (color_description VARCHAR, color_code VARCHAR); CREATE TABLE products (product_id VARCHAR, color_code VARCHAR)
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List all the product names with the color description "white".
SELECT t1.product_name FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t2.color_description = "white"
CREATE TABLE ref_colors (color_code VARCHAR, color_description VARCHAR); CREATE TABLE products (product_name VARCHAR, color_code VARCHAR)
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What are the name and typical buying and selling prices of the products that have color described as "yellow"?
SELECT t1.product_name, t1.typical_buying_price, t1.typical_selling_price FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t2.color_description = "yellow"
CREATE TABLE ref_colors (color_code VARCHAR, color_description VARCHAR); CREATE TABLE products (product_name VARCHAR, typical_buying_price VARCHAR, typical_selling_price VARCHAR, color_code VARCHAR)
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How many characteristics does the product named "sesame" have?
SELECT COUNT(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id WHERE t1.product_name = "sesame"
CREATE TABLE product_characteristics (product_id VARCHAR); CREATE TABLE products (product_id VARCHAR, product_name VARCHAR)
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How many distinct characteristic names does the product "cumin" have?
SELECT COUNT(DISTINCT t3.characteristic_name) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame"
CREATE TABLE CHARACTERISTICS (characteristic_name VARCHAR, characteristic_id VARCHAR); CREATE TABLE products (product_id VARCHAR, product_name VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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What are all the characteristic names of product "sesame"?
SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame"
CREATE TABLE CHARACTERISTICS (characteristic_name VARCHAR, characteristic_id VARCHAR); CREATE TABLE products (product_id VARCHAR, product_name VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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List all the characteristic names and data types of product "cumin".
SELECT t3.characteristic_name, t3.characteristic_data_type FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "cumin"
CREATE TABLE CHARACTERISTICS (characteristic_name VARCHAR, characteristic_data_type VARCHAR, characteristic_id VARCHAR); CREATE TABLE products (product_id VARCHAR, product_name VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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List all characteristics of product named "sesame" with type code "Grade".
SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame" AND t3.characteristic_type_code = "Grade"
CREATE TABLE CHARACTERISTICS (characteristic_name VARCHAR, characteristic_id VARCHAR, characteristic_type_code VARCHAR); CREATE TABLE products (product_id VARCHAR, product_name VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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How many characteristics does the product named "laurel" have?
SELECT COUNT(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "laurel"
CREATE TABLE CHARACTERISTICS (characteristic_id VARCHAR); CREATE TABLE products (product_id VARCHAR, product_name VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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Find the number of characteristics that the product "flax" has.
SELECT COUNT(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "flax"
CREATE TABLE CHARACTERISTICS (characteristic_id VARCHAR); CREATE TABLE products (product_id VARCHAR, product_name VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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Find the name of the products that have the color description "red" and have the characteristic name "fast".
SELECT product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "red" AND t3.characteristic_name = "fast"
CREATE TABLE CHARACTERISTICS (characteristic_id VARCHAR, characteristic_name VARCHAR); CREATE TABLE ref_colors (color_code VARCHAR, color_description VARCHAR); CREATE TABLE products (product_id VARCHAR, color_code VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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How many products have the characteristic named "hot"?
SELECT COUNT(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t3.characteristic_name = "hot"
CREATE TABLE products (product_id VARCHAR); CREATE TABLE CHARACTERISTICS (characteristic_id VARCHAR, characteristic_name VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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List the all the distinct names of the products with the characteristic name 'warm'.
SELECT DISTINCT t1.product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t3.characteristic_name = "warm"
CREATE TABLE CHARACTERISTICS (characteristic_id VARCHAR, characteristic_name VARCHAR); CREATE TABLE products (product_name VARCHAR, product_id VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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Find the number of the products that have their color described as "red" and have a characteristic named "slow".
SELECT COUNT(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "red" AND t3.characteristic_name = "slow"
CREATE TABLE CHARACTERISTICS (characteristic_id VARCHAR, characteristic_name VARCHAR); CREATE TABLE ref_colors (color_code VARCHAR, color_description VARCHAR); CREATE TABLE products (product_id VARCHAR, color_code VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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Count the products that have the color description "white" or have the characteristic name "hot".
SELECT COUNT(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "white" OR t3.characteristic_name = "hot"
CREATE TABLE CHARACTERISTICS (characteristic_id VARCHAR, characteristic_name VARCHAR); CREATE TABLE ref_colors (color_code VARCHAR, color_description VARCHAR); CREATE TABLE products (product_id VARCHAR, color_code VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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What is the unit of measuerment of the product category code "Herbs"?
SELECT unit_of_measure FROM ref_product_categories WHERE product_category_code = "Herbs"
CREATE TABLE ref_product_categories (unit_of_measure VARCHAR, product_category_code VARCHAR)
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Find the product category description of the product category with code "Spices".
SELECT product_category_description FROM ref_product_categories WHERE product_category_code = "Spices"
CREATE TABLE ref_product_categories (product_category_description VARCHAR, product_category_code VARCHAR)
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What is the product category description and unit of measurement of category "Herbs"?
SELECT product_category_description, unit_of_measure FROM ref_product_categories WHERE product_category_code = "Herbs"
CREATE TABLE ref_product_categories (product_category_description VARCHAR, unit_of_measure VARCHAR, product_category_code VARCHAR)
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What is the unit of measurement of product named "cumin"?
SELECT t2.unit_of_measure FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code WHERE t1.product_name = "cumin"
CREATE TABLE ref_product_categories (unit_of_measure VARCHAR, product_category_code VARCHAR); CREATE TABLE products (product_category_code VARCHAR, product_name VARCHAR)
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Find the unit of measurement and product category code of product named "chervil".
SELECT t2.unit_of_measure, t2.product_category_code FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code WHERE t1.product_name = "chervil"
CREATE TABLE ref_product_categories (unit_of_measure VARCHAR, product_category_code VARCHAR); CREATE TABLE products (product_category_code VARCHAR, product_name VARCHAR)
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Find the product names that are colored 'white' but do not have unit of measurement "Handful".
SELECT t1.product_name FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code JOIN ref_colors AS t3 ON t1.color_code = t3.color_code WHERE t3.color_description = "white" AND t2.unit_of_measure <> "Handful"
CREATE TABLE products (product_name VARCHAR, product_category_code VARCHAR, color_code VARCHAR); CREATE TABLE ref_colors (color_code VARCHAR, color_description VARCHAR); CREATE TABLE ref_product_categories (product_category_code VARCHAR, unit_of_measure VARCHAR)
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What is the description of the color for most products?
SELECT t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code GROUP BY t2.color_description ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE ref_colors (color_description VARCHAR, color_code VARCHAR); CREATE TABLE products (color_code VARCHAR)
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What is the description of the color used by least products?
SELECT t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code GROUP BY t2.color_description ORDER BY COUNT(*) LIMIT 1
CREATE TABLE ref_colors (color_description VARCHAR, color_code VARCHAR); CREATE TABLE products (color_code VARCHAR)
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What is the characteristic name used by most number of the products?
SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id GROUP BY t3.characteristic_name ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE products (product_id VARCHAR); CREATE TABLE CHARACTERISTICS (characteristic_name VARCHAR, characteristic_id VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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What are the names, details and data types of the characteristics which are never used by any product?
SELECT characteristic_name, other_characteristic_details, characteristic_data_type FROM CHARACTERISTICS EXCEPT SELECT t1.characteristic_name, t1.other_characteristic_details, t1.characteristic_data_type FROM CHARACTERISTICS AS t1 JOIN product_characteristics AS t2 ON t1.characteristic_id = t2.characteristic_id
CREATE TABLE CHARACTERISTICS (characteristic_name VARCHAR, other_characteristic_details VARCHAR, characteristic_data_type VARCHAR, characteristic_id VARCHAR); CREATE TABLE product_characteristics (characteristic_id VARCHAR); CREATE TABLE CHARACTERISTICS (characteristic_name VARCHAR, other_characteristic_details VARCHAR, characteristic_data_type VARCHAR)
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What are characteristic names used at least twice across all products?
SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id GROUP BY t3.characteristic_name HAVING COUNT(*) >= 2
CREATE TABLE products (product_id VARCHAR); CREATE TABLE CHARACTERISTICS (characteristic_name VARCHAR, characteristic_id VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
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How many colors are never used by any product?
SELECT COUNT(*) FROM Ref_colors WHERE NOT color_code IN (SELECT color_code FROM products)
CREATE TABLE products (color_code VARCHAR); CREATE TABLE Ref_colors (color_code VARCHAR)
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How many events are there?
SELECT COUNT(*) FROM event
CREATE TABLE event (Id VARCHAR)
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List all the event names by year from the most recent to the oldest.
SELECT name FROM event ORDER BY YEAR DESC
CREATE TABLE event (name VARCHAR, YEAR VARCHAR)
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What is the name of the event that happened in the most recent year?
SELECT name FROM event ORDER BY YEAR DESC LIMIT 1
CREATE TABLE event (name VARCHAR, YEAR VARCHAR)
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How many stadiums are there?
SELECT COUNT(*) FROM stadium
CREATE TABLE stadium (Id VARCHAR)
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Find the name of the stadium that has the maximum capacity.
SELECT name FROM stadium ORDER BY capacity DESC LIMIT 1
CREATE TABLE stadium (name VARCHAR, capacity VARCHAR)
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Find the names of stadiums whose capacity is smaller than the average capacity.
SELECT name FROM stadium WHERE capacity < (SELECT AVG(capacity) FROM stadium)
CREATE TABLE stadium (name VARCHAR, capacity INTEGER)
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Find the country that has the most stadiums.
SELECT country FROM stadium GROUP BY country ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE stadium (country VARCHAR)
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Which country has at most 3 stadiums listed?
SELECT country FROM stadium GROUP BY country HAVING COUNT(*) <= 3
CREATE TABLE stadium (country VARCHAR)
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Which country has both stadiums with capacity greater than 60000 and stadiums with capacity less than 50000?
SELECT country FROM stadium WHERE capacity > 60000 INTERSECT SELECT country FROM stadium WHERE capacity < 50000
CREATE TABLE stadium (country VARCHAR, capacity INTEGER)
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How many cities have a stadium that was opened before the year of 2006?
SELECT COUNT(DISTINCT city) FROM stadium WHERE opening_year < 2006
CREATE TABLE stadium (city VARCHAR, opening_year INTEGER)
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How many stadiums does each country have?
SELECT country, COUNT(*) FROM stadium GROUP BY country
CREATE TABLE stadium (country VARCHAR)
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Which countries do not have a stadium that was opened after 2006?
SELECT country FROM stadium EXCEPT SELECT country FROM stadium WHERE opening_year > 2006
CREATE TABLE stadium (country VARCHAR, opening_year INTEGER)
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How many stadiums are not in country "Russia"?
SELECT COUNT(*) FROM stadium WHERE country <> 'Russia'
CREATE TABLE stadium (country VARCHAR)
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Find the names of all swimmers, sorted by their 100 meter scores in ascending order.
SELECT name FROM swimmer ORDER BY meter_100
CREATE TABLE swimmer (name VARCHAR, meter_100 VARCHAR)
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How many different countries are all the swimmers from?
SELECT COUNT(DISTINCT nationality) FROM swimmer
CREATE TABLE swimmer (nationality VARCHAR)
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List countries that have more than one swimmer.
SELECT nationality, COUNT(*) FROM swimmer GROUP BY nationality HAVING COUNT(*) > 1
CREATE TABLE swimmer (nationality VARCHAR)
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Find all 200 meter and 300 meter results of swimmers with nationality "Australia".
SELECT meter_200, meter_300 FROM swimmer WHERE nationality = 'Australia'
CREATE TABLE swimmer (meter_200 VARCHAR, meter_300 VARCHAR, nationality VARCHAR)
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Find the names of swimmers who has a result of "win".
SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Win'
CREATE TABLE record (swimmer_id VARCHAR); CREATE TABLE swimmer (name VARCHAR, id VARCHAR)
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What is the name of the stadium which held the most events?
SELECT t1.name FROM stadium AS t1 JOIN event AS t2 ON t1.id = t2.stadium_id GROUP BY t2.stadium_id ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE stadium (name VARCHAR, id VARCHAR); CREATE TABLE event (stadium_id VARCHAR)
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Find the name and capacity of the stadium where the event named "World Junior" happened.
SELECT t1.name, t1.capacity FROM stadium AS t1 JOIN event AS t2 ON t1.id = t2.stadium_id WHERE t2.name = 'World Junior'
CREATE TABLE event (stadium_id VARCHAR, name VARCHAR); CREATE TABLE stadium (name VARCHAR, capacity VARCHAR, id VARCHAR)
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Find the names of stadiums which have never had any event.
SELECT name FROM stadium WHERE NOT id IN (SELECT stadium_id FROM event)
CREATE TABLE stadium (name VARCHAR, id VARCHAR, stadium_id VARCHAR); CREATE TABLE event (name VARCHAR, id VARCHAR, stadium_id VARCHAR)
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Find the name of the swimmer who has the most records.
SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id GROUP BY t2.swimmer_id ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE record (swimmer_id VARCHAR); CREATE TABLE swimmer (name VARCHAR, id VARCHAR)
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Find the name of the swimmer who has at least 2 records.
SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id GROUP BY t2.swimmer_id HAVING COUNT(*) >= 2
CREATE TABLE record (swimmer_id VARCHAR); CREATE TABLE swimmer (name VARCHAR, id VARCHAR)
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Find the name and nationality of the swimmer who has won (i.e., has a result of "win") more than 1 time.
SELECT t1.name, t1.nationality FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Win' GROUP BY t2.swimmer_id HAVING COUNT(*) > 1
CREATE TABLE record (swimmer_id VARCHAR); CREATE TABLE swimmer (name VARCHAR, nationality VARCHAR, id VARCHAR)
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Find the names of the swimmers who have no record.
SELECT name FROM swimmer WHERE NOT id IN (SELECT swimmer_id FROM record)
CREATE TABLE swimmer (name VARCHAR, id VARCHAR, swimmer_id VARCHAR); CREATE TABLE record (name VARCHAR, id VARCHAR, swimmer_id VARCHAR)
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Find the names of the swimmers who have both "win" and "loss" results in the record.
SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Win' INTERSECT SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Loss'
CREATE TABLE record (swimmer_id VARCHAR); CREATE TABLE swimmer (name VARCHAR, id VARCHAR)
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Find the names of stadiums that some Australian swimmers have been to.
SELECT t4.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id JOIN event AS t3 ON t2.event_id = t3.id JOIN stadium AS t4 ON t4.id = t3.stadium_id WHERE t1.nationality = 'Australia'
CREATE TABLE swimmer (id VARCHAR, nationality VARCHAR); CREATE TABLE record (swimmer_id VARCHAR, event_id VARCHAR); CREATE TABLE stadium (name VARCHAR, id VARCHAR); CREATE TABLE event (id VARCHAR, stadium_id VARCHAR)
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Find the names of stadiums that the most swimmers have been to.
SELECT t3.name FROM record AS t1 JOIN event AS t2 ON t1.event_id = t2.id JOIN stadium AS t3 ON t3.id = t2.stadium_id GROUP BY t2.stadium_id ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE record (event_id VARCHAR); CREATE TABLE stadium (name VARCHAR, id VARCHAR); CREATE TABLE event (stadium_id VARCHAR, id VARCHAR)
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Find all details for each swimmer.
SELECT * FROM swimmer
CREATE TABLE swimmer (Id VARCHAR)
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What is the average capacity of the stadiums that were opened in year 2005?
SELECT AVG(capacity) FROM stadium WHERE opening_year = 2005
CREATE TABLE stadium (capacity INTEGER, opening_year VARCHAR)
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How many railways are there?
SELECT COUNT(*) FROM railway
CREATE TABLE railway (Id VARCHAR)
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List the builders of railways in ascending alphabetical order.
SELECT Builder FROM railway ORDER BY Builder
CREATE TABLE railway (Builder VARCHAR)
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List the wheels and locations of the railways.
SELECT Wheels, LOCATION FROM railway
CREATE TABLE railway (Wheels VARCHAR, LOCATION VARCHAR)
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What is the maximum level of managers in countries that are not "Australia"?
SELECT MAX(LEVEL) FROM manager WHERE Country <> "Australia "
CREATE TABLE manager (LEVEL INTEGER, Country VARCHAR)
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What is the average age for all managers?
SELECT AVG(Age) FROM manager
CREATE TABLE manager (Age INTEGER)
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What are the names of managers in ascending order of level?
SELECT Name FROM manager ORDER BY LEVEL
CREATE TABLE manager (Name VARCHAR, LEVEL VARCHAR)
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What are the names and arrival times of trains?
SELECT Name, Arrival FROM train
CREATE TABLE train (Name VARCHAR, Arrival VARCHAR)
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What is the name of the oldest manager?
SELECT Name FROM manager ORDER BY Age DESC LIMIT 1
CREATE TABLE manager (Name VARCHAR, Age VARCHAR)
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Show the names of trains and locations of railways they are in.
SELECT T2.Name, T1.Location FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID
CREATE TABLE railway (Location VARCHAR, Railway_ID VARCHAR); CREATE TABLE train (Name VARCHAR, Railway_ID VARCHAR)
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Show the builder of railways associated with the trains named "Andaman Exp".
SELECT T1.Builder FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID WHERE T2.Name = "Andaman Exp"
CREATE TABLE railway (Builder VARCHAR, Railway_ID VARCHAR); CREATE TABLE train (Railway_ID VARCHAR, Name VARCHAR)
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Show id and location of railways that are associated with more than one train.
SELECT T2.Railway_ID, T1.Location FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID GROUP BY T2.Railway_ID HAVING COUNT(*) > 1
CREATE TABLE railway (Location VARCHAR, Railway_ID VARCHAR); CREATE TABLE train (Railway_ID VARCHAR)
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Show the id and builder of the railway that are associated with the most trains.
SELECT T2.Railway_ID, T1.Builder FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID GROUP BY T2.Railway_ID ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE train (Railway_ID VARCHAR); CREATE TABLE railway (Builder VARCHAR, Railway_ID VARCHAR)
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Show different builders of railways, along with the corresponding number of railways using each builder.
SELECT Builder, COUNT(*) FROM railway GROUP BY Builder
CREATE TABLE railway (Builder VARCHAR)
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Show the most common builder of railways.
SELECT Builder FROM railway GROUP BY Builder ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE railway (Builder VARCHAR)
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Show different locations of railways along with the corresponding number of railways at each location.
SELECT LOCATION, COUNT(*) FROM railway GROUP BY LOCATION
CREATE TABLE railway (LOCATION VARCHAR)
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Show the locations that have more than one railways.
SELECT LOCATION FROM railway GROUP BY LOCATION HAVING COUNT(*) > 1
CREATE TABLE railway (LOCATION VARCHAR)
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List the object number of railways that do not have any trains.
SELECT ObjectNumber FROM railway WHERE NOT Railway_ID IN (SELECT Railway_ID FROM train)
CREATE TABLE train (ObjectNumber VARCHAR, Railway_ID VARCHAR); CREATE TABLE railway (ObjectNumber VARCHAR, Railway_ID VARCHAR)
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Show the countries that have both managers of age above 50 and managers of age below 46.
SELECT Country FROM manager WHERE Age > 50 INTERSECT SELECT Country FROM manager WHERE Age < 46
CREATE TABLE manager (Country VARCHAR, Age INTEGER)
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Show the distinct countries of managers.
SELECT DISTINCT Country FROM manager
CREATE TABLE manager (Country VARCHAR)
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Show the working years of managers in descending order of their level.
SELECT Working_year_starts FROM manager ORDER BY LEVEL DESC
CREATE TABLE manager (Working_year_starts VARCHAR, LEVEL VARCHAR)
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Show the countries that have managers of age above 50 or below 46.
SELECT Country FROM manager WHERE Age > 50 OR Age < 46
CREATE TABLE manager (Country VARCHAR, Age VARCHAR)
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How many addresses are there in country USA?
SELECT COUNT(*) FROM addresses WHERE country = 'USA'
CREATE TABLE addresses (country VARCHAR)
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Show all distinct cities in the address record.
SELECT DISTINCT city FROM addresses
CREATE TABLE addresses (city VARCHAR)
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Show each state and the number of addresses in each state.
SELECT state_province_county, COUNT(*) FROM addresses GROUP BY state_province_county
CREATE TABLE addresses (state_province_county VARCHAR)
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Show names and phones of customers who do not have address information.
SELECT customer_name, customer_phone FROM customers WHERE NOT customer_id IN (SELECT customer_id FROM customer_address_history)
CREATE TABLE customer_address_history (customer_name VARCHAR, customer_phone VARCHAR, customer_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_phone VARCHAR, customer_id VARCHAR)
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Show the name of the customer who has the most orders.
SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR)
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Show the product type codes which have at least two products.
SELECT product_type_code FROM products GROUP BY product_type_code HAVING COUNT(*) >= 2
CREATE TABLE products (product_type_code VARCHAR)
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Show the names of customers who have both an order in completed status and an order in part status.
SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = 'Completed' INTERSECT SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = 'Part'
CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_status_code VARCHAR)
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Show the name, phone, and payment method code for all customers in descending order of customer number.
SELECT customer_name, customer_phone, payment_method_code FROM customers ORDER BY customer_number DESC
CREATE TABLE customers (customer_name VARCHAR, customer_phone VARCHAR, payment_method_code VARCHAR, customer_number VARCHAR)
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Show the product name and total order quantity for each product.
SELECT T1.product_name, SUM(T2.order_quantity) FROM products AS T1 JOIN order_items AS T2 ON T1.product_id = T2.product_id GROUP BY T1.product_id
CREATE TABLE products (product_name VARCHAR, product_id VARCHAR); CREATE TABLE order_items (order_quantity INTEGER, product_id VARCHAR)
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Show the minimum, maximum, average price for all products.
SELECT MIN(product_price), MAX(product_price), AVG(product_price) FROM products
CREATE TABLE products (product_price INTEGER)
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How many products have a price higher than the average?
SELECT COUNT(*) FROM products WHERE product_price > (SELECT AVG(product_price) FROM products)
CREATE TABLE products (product_price INTEGER)
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Show the customer name, customer address city, date from, and date to for each customer address history.
SELECT T2.customer_name, T3.city, T1.date_from, T1.date_to FROM customer_address_history AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id JOIN addresses AS T3 ON T1.address_id = T3.address_id
CREATE TABLE addresses (city VARCHAR, address_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customer_address_history (date_from VARCHAR, date_to VARCHAR, customer_id VARCHAR, address_id VARCHAR)
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Show the names of customers who use Credit Card payment method and have more than 2 orders.
SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.payment_method_code = 'Credit Card' GROUP BY T1.customer_id HAVING COUNT(*) > 2
CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR, payment_method_code VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR)
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What are the name and phone of the customer with the most ordered product quantity?
SELECT T1.customer_name, T1.customer_phone FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T3.order_id = T2.order_id GROUP BY T1.customer_id ORDER BY SUM(T3.order_quantity) DESC LIMIT 1
CREATE TABLE order_items (order_id VARCHAR, order_quantity INTEGER); CREATE TABLE customers (customer_name VARCHAR, customer_phone VARCHAR, customer_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR)
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Show the product type and name for the products with price higher than 1000 or lower than 500.
SELECT product_type_code, product_name FROM products WHERE product_price > 1000 OR product_price < 500
CREATE TABLE products (product_type_code VARCHAR, product_name VARCHAR, product_price VARCHAR)
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