context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE Production (chemical VARCHAR(255), production_date DATE, quantity INT); INSERT INTO Production (chemical, production_date, quantity) VALUES ('Ethanol', '2021-03-15', 500), ('Ethanol', '2022-01-02', 750), ('Methanol', '2020-12-31', 800); | List the production dates and quantities for batches of Ethanol produced after 2020-01-01? | SELECT chemical, production_date, quantity FROM Production WHERE chemical = 'Ethanol' AND production_date > '2020-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE conservation_initiatives (initiative_id INT, initiative_name VARCHAR(100), budget FLOAT); | Calculate the total budget for water conservation initiatives in the 'conservation_initiatives' table | SELECT SUM(budget) as total_budget FROM conservation_initiatives; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_company (name TEXT, satellites_deployed INTEGER); INSERT INTO space_company (name, satellites_deployed) VALUES ('SpaceX', 2000); CREATE TABLE spacex_satellites (id INTEGER, name TEXT, launch_year INTEGER); INSERT INTO spacex_satellites (id, name, launch_year) VALUES (1, 'Starlink 1', 2019), (2, 'Star... | What are the names of all satellites deployed by SpaceX? | SELECT name FROM spacex_satellites; | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_assessments (id INT, assessment_date DATE, facility TEXT); INSERT INTO environmental_assessments (id, assessment_date, facility) VALUES (1, '2022-01-01', 'Facility1'), (2, '2022-03-15', 'Facility2'), (3, '2022-02-01', 'Facility3'); | List all environmental impact assessments and their corresponding facilities for the past year. | SELECT * FROM environmental_assessments WHERE assessment_date >= DATEADD(year, -1, CURRENT_DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, donor_name TEXT, donation_date DATE); INSERT INTO donors (id, donor_name, donation_date) VALUES (1, 'Jim White', '2022-01-01'), (2, 'Jane Smith', '2022-04-15'), (3, 'Ahmed Doe', '2022-07-01'); | How many unique donors have there been each quarter in the last year? | SELECT EXTRACT(QUARTER FROM donation_date) as quarter, COUNT(DISTINCT donor_name) as unique_donors FROM donors WHERE donation_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY quarter ORDER BY quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name TEXT, rating FLOAT, manufacturer_country TEXT, product_category TEXT); INSERT INTO products (product_id, product_name, rating, manufacturer_country, product_category) VALUES (1, 'Product A', 4.5, 'USA', 'Category 1'), (2, 'Product B', 4.2, 'China', 'Category 2'), (3, ... | List the product names, manufacturers, and ratings for all products in 'Category 2'. | SELECT product_name, manufacturer_country, rating FROM products WHERE product_category = 'Category 2'; | gretelai_synthetic_text_to_sql |
CREATE TABLE City (id INT PRIMARY KEY, name VARCHAR(50), affordability_score INT); CREATE TABLE Neighborhood (id INT PRIMARY KEY, city_id INT, name VARCHAR(50)); CREATE TABLE Property (id INT PRIMARY KEY, neighborhood_id INT, type VARCHAR(50), price INT, square_footage INT, certification VARCHAR(50)); CREATE VIEW Green... | Which neighborhoods in cities with the lowest housing affordability scores have the highest number of green-certified properties, and their total square footage? | SELECT Neighborhood.name, SUM(Property.square_footage) as total_sq_ft FROM Neighborhood INNER JOIN Green_Certified_Properties ON Neighborhood.id = Green_Certified_Properties.neighborhood_id INNER JOIN City ON Neighborhood.city_id = City.id WHERE City.affordability_score = (SELECT MIN(affordability_score) FROM City) GRO... | gretelai_synthetic_text_to_sql |
CREATE TABLE country (id INT, name TEXT); CREATE TABLE resource (id INT, country_id INT, type TEXT, quantity INT); | What is the total amount of resources extracted from each country, categorized by type? | SELECT country.name, resource.type, SUM(resource.quantity) as total_quantity FROM country INNER JOIN resource ON country.id = resource.country_id GROUP BY country.name, resource.type; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_id INT, donation_amount DECIMAL, donation_date DATE, donor_program VARCHAR); INSERT INTO donations (id, donor_id, donation_amount, donation_date, donor_program) VALUES (1, 101, '500', '2021-01-01', 'Arts & Culture'), (2, 102, '300', '2021-02-01', 'Sports'), (3, 103, '800', '2021-03... | What is the average donation per volunteer for the 'Arts & Culture' program? | SELECT AVG(d.donation_amount) as avg_donation_amount FROM donations d JOIN volunteers v ON v.program = d.donor_program WHERE v.program = 'Arts & Culture'; | gretelai_synthetic_text_to_sql |
CREATE TABLE clean_water_access (country VARCHAR(20), percentage_access DECIMAL(5,2)); INSERT INTO clean_water_access (country, percentage_access) VALUES ('Brazil', 90.0), ('Colombia', 85.0); | What is the percentage of the population with access to clean water in Brazil and Colombia? | SELECT AVG(percentage_access) FROM clean_water_access WHERE country IN ('Brazil', 'Colombia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE founders (id INT, company_id INT, disability_status VARCHAR(255)); CREATE TABLE companies (id INT, industry VARCHAR(255), funding_amount INT); INSERT INTO founders SELECT 1, 1, 'With Disability'; INSERT INTO founders SELECT 2, 2, 'Without Disability'; INSERT INTO founders SELECT 3, 3, 'With Disability'; IN... | Determine the total funding received by startups founded by individuals with disabilities in the AI industry | SELECT SUM(companies.funding_amount) FROM founders JOIN companies ON founders.company_id = companies.id WHERE companies.industry = 'AI' AND founders.disability_status = 'With Disability'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Research_Vessels ( id INT PRIMARY KEY, name VARCHAR(50), type VARCHAR(50), home_port VARCHAR(50), last_maintenance DATETIME); INSERT INTO Research_Vessels (id, name, type, home_port, last_maintenance) VALUES (1, 'Thomas G. Thompson', 'Research', 'Seattle', '2020-03-25'), (2, 'Atlantis', 'Oceanographic', 'W... | Which marine research vessel was last maintained in the Southern Hemisphere? | SELECT name, type, home_port, last_maintenance FROM Research_Vessels WHERE last_maintenance = (SELECT MAX(last_maintenance) FROM Research_Vessels WHERE STRCMP(SUBSTRING_INDEX(home_port, ' ', 1), 'Southern', 1) = 1); | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (ProgramID INT, ProgramName TEXT, VolunteerCount INT, Category TEXT); INSERT INTO Programs (ProgramID, ProgramName, VolunteerCount, Category) VALUES (1, 'Clean Oceans', 50, 'Environment'); INSERT INTO Programs (ProgramID, ProgramName, VolunteerCount, Category) VALUES (2, 'Green Spaces', 25, 'Envir... | What is the average number of volunteers for programs in the environment and sustainability category? | SELECT AVG(VolunteerCount) FROM Programs WHERE Category = 'Environment'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donor_demographics (donor_id INT, donation_amount DECIMAL(10,2), donation_date DATE); INSERT INTO donor_demographics VALUES (1, 15000, '2020-01-01'), (2, 12000, '2020-02-01'), (3, 9000, '2020-03-01'), (4, 6000, '2020-04-01'), (5, 3000, '2020-05-01'); CREATE TABLE philanthropic_trends (donor_id INT, donatio... | Which donors have made donations only in the donor demographics sector? | SELECT donor_demographics.donor_id FROM donor_demographics LEFT JOIN philanthropic_trends ON donor_demographics.donor_id = philanthropic_trends.donor_id WHERE philanthropic_trends.donor_id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(100), main_actor VARCHAR(100)); INSERT INTO movies (id, title, main_actor) VALUES (1, 'Movie13', 'Actor1'), (2, 'Movie14', 'Actor2'), (3, 'Movie15', 'Actor1'), (4, 'Movie16', 'Actor3'), (5, 'Movie17', 'Actor1'); | Who are the top 3 actors by the number of movies? | SELECT main_actor, COUNT(*) as movie_count FROM movies GROUP BY main_actor ORDER BY movie_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE revenue (restaurant_id INT, date DATE, revenue INT, category VARCHAR(50)); INSERT INTO revenue (restaurant_id, date, revenue, category) VALUES (3, '2022-04-01', 5000, 'Salads'), (3, '2022-04-02', 6000, 'Sandwiches'), (3, '2022-04-01', 4000, 'Soups'), (3, '2022-04-02', 7000, 'Salads'); | What is the revenue for each menu category in the 'Green Garden' restaurant for the month of April 2022? | SELECT category, SUM(revenue) as total_revenue FROM revenue WHERE restaurant_id = 3 AND MONTH(date) = 4 GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE TrainBreakdowns (BreakdownID INT, BreakdownDate DATE, District VARCHAR(20)); INSERT INTO TrainBreakdowns (BreakdownID, BreakdownDate, District) VALUES (1, '2022-01-02', 'North'), (2, '2022-01-05', 'South'), (3, '2022-01-07', 'East'), (4, '2022-01-10', 'South'), (5, '2022-01-12', 'West'); CREATE TABLE Train... | What is the average time between train breakdowns for trains in the 'South' district? | SELECT AVG(DATEDIFF(day, EventDate, LEAD(EventDate) OVER (PARTITION BY TrainID ORDER BY EventDate))) FROM TrainEvents WHERE EventType = 'Breakdown' AND District = 'South'; | gretelai_synthetic_text_to_sql |
CREATE TABLE project (id INT, state VARCHAR(20), type VARCHAR(20), hours INT); INSERT INTO project (id, state, type, hours) VALUES (1, 'Texas', 'Sustainable', 400), (2, 'Texas', 'Traditional', 300), (3, 'Seattle', 'Sustainable', 500); | What is the maximum labor hours for any sustainable building project in the state of Texas? | SELECT MAX(hours) FROM project WHERE state = 'Texas' AND type = 'Sustainable'; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste (id INT, manufacturer_id INT, date DATE, weight FLOAT); INSERT INTO waste (id, manufacturer_id, date, weight) VALUES (1, 1, '2022-01-01', 500.00), (2, 1, '2022-04-01', 600.00), (3, 2, '2022-01-01', 700.00), (4, 2, '2022-04-01', 800.00); | What is the total waste produced by the manufacturing sector in the last quarter? | SELECT SUM(weight) FROM waste WHERE date >= '2022-01-01' AND date <= '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE facilitators (facilitator_id INT PRIMARY KEY, name VARCHAR(255), age INT, gender VARCHAR(50), race VARCHAR(50), ethnicity VARCHAR(50), date_of_birth DATE, cases_facilitated INT, organization_id INT); | Update a facilitator record in the 'facilitators' table | UPDATE facilitators SET cases_facilitated = 50, organization_id = 8002 WHERE facilitator_id = 7003; | gretelai_synthetic_text_to_sql |
CREATE TABLE circular_supply_chain (product_id INT, supplier_id INT, recycling_program BOOLEAN); CREATE TABLE product_transparency (product_id INT, supplier_id INT, material VARCHAR(50), country_of_origin VARCHAR(50), production_process VARCHAR(50)); CREATE TABLE supplier_ethics (supplier_id INT, country VARCHAR(50), l... | Show the average recycling rate and number of products for each country | SELECT r.country, AVG(recycling_program) as avg_recycling_rate, COUNT(pt.product_id) as product_count FROM recycling_rates_by_country r JOIN product_transparency pt ON r.country = pt.country_of_origin GROUP BY r.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE geological_surveys (survey_id INT, continent VARCHAR(20)); INSERT INTO geological_surveys (survey_id, continent) VALUES (101, 'Africa'), (102, 'Europe'), (103, 'Asia'), (104, 'South America'), (105, 'North America'); | Identify geological surveys with data from the African continent. | SELECT * FROM geological_surveys WHERE continent = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE City (id INT, name VARCHAR(255), population INT, region VARCHAR(255)); INSERT INTO City (id, name, population, region) VALUES (1, 'Chicago', 2700000, 'Midwest'); INSERT INTO City (id, name, population, region) VALUES (2, 'Detroit', 670000, 'Midwest'); | What is the average population of cities in the Midwest region? | SELECT region, AVG(population) FROM City WHERE region = 'Midwest' GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE FundingSources (SourceID INT, SourceName VARCHAR(50), TotalContribution DECIMAL(10,2)); CREATE TABLE PerformingArtsEvents (EventID INT, EventName VARCHAR(50), Date DATE); CREATE TABLE EventFunding (EventID INT, SourceID INT, FOREIGN KEY (EventID) REFERENCES PerformingArtsEvents(EventID), FOREIGN KEY (Sourc... | How many funding sources supported performing arts events in the last three years, and what are their respective contributions? | SELECT COUNT(DISTINCT EventFunding.SourceID), SUM(FundingSources.TotalContribution) FROM EventFunding INNER JOIN FundingSources ON EventFunding.SourceID = FundingSources.SourceID INNER JOIN PerformingArtsEvents ON EventFunding.EventID = PerformingArtsEvents.EventID WHERE PerformingArtsEvents.Date >= DATE_SUB(CURDATE(),... | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, dish_id INT, sale_price DECIMAL(5,2), country VARCHAR(255)); INSERT INTO sales (sale_id, dish_id, sale_price, country) VALUES (1, 1, 9.99, 'USA'), (2, 3, 7.99, 'Mexico'), (3, 2, 12.99, 'USA'), (4, 3, 11.99, 'Mexico'), (5, 1, 10.99, 'USA'); CREATE TABLE dishes (dish_id INT, dish_name VAR... | List dishes with a rating of 5 | SELECT d.dish_name FROM dishes d INNER JOIN feedback f ON d.dish_id = f.dish_id WHERE f.rating = 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Hurricanes (HurricaneID INT, Name TEXT, MaxWindSpeed INT, Ocean TEXT); INSERT INTO Hurricanes (HurricaneID, Name, MaxWindSpeed, Ocean) VALUES (1, 'Hurricane1', 120, 'Atlantic'); INSERT INTO Hurricanes (HurricaneID, Name, MaxWindSpeed, Ocean) VALUES (2, 'Hurricane2', 150, 'Atlantic'); INSERT INTO Hurricanes... | What is the maximum wind speed ever recorded for a hurricane in the Atlantic Ocean? | SELECT MAX(MaxWindSpeed) FROM Hurricanes WHERE Ocean = 'Atlantic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (id INT, name VARCHAR(255), country VARCHAR(255)); CREATE TABLE products (id INT, name VARCHAR(255), supplier_id INT); | List all suppliers and the number of products they supply from France. | SELECT s.name, COUNT(p.id) FROM suppliers s INNER JOIN products p ON s.id = p.supplier_id WHERE s.country = 'France' GROUP BY s.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE aircraft_manufacturing (id INT PRIMARY KEY, manufacturer VARCHAR(50), model VARCHAR(50), city VARCHAR(50), country VARCHAR(50), manufacturing_year INT); | Update the 'aircraft_manufacturing' table to reflect 'Boeing' manufacturing the '737' model in 'Seattle', 'USA' in 2020 | UPDATE aircraft_manufacturing SET manufacturer = 'Boeing', city = 'Seattle', country = 'USA', manufacturing_year = 2020 WHERE model = '737'; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (id INT, name VARCHAR(255), country VARCHAR(255), is_organic BOOLEAN); INSERT INTO suppliers (id, name, country, is_organic) VALUES (1, 'EcoFarm', 'USA', true), (2, 'GreenFields', 'Canada', true), (3, 'FreshHarvest', 'USA', false); | How many suppliers are based in the US and provide organic produce? | SELECT COUNT(*) FROM suppliers WHERE country = 'USA' AND is_organic = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpacecraftManufacturing (id INT, name VARCHAR(255), manufacturer VARCHAR(255), cost DECIMAL(10, 2)); INSERT INTO SpacecraftManufacturing (id, name, manufacturer, cost) VALUES (1, 'Voyager I', 'AeroSpace Inc.', 70000000.00), (2, 'Voyager II', 'AeroSpace Inc.', 75000000.00); | Which spacecraft had manufacturing costs above the average cost for 'AeroSpace Inc.'? | SELECT name FROM SpacecraftManufacturing WHERE manufacturer = 'AeroSpace Inc.' AND cost > (SELECT AVG(cost) FROM SpacecraftManufacturing WHERE manufacturer = 'AeroSpace Inc.'); | gretelai_synthetic_text_to_sql |
CREATE TABLE product_transparency (product_id INT, product_name VARCHAR(50), circular_supply_chain BOOLEAN, recycled_content DECIMAL(4,2), COUNTRY VARCHAR(50)); | Insert new records into 'product_transparency' table with details of products following circular supply chains. | INSERT INTO product_transparency (product_id, product_name, circular_supply_chain, recycled_content, country) VALUES (1001, 'Organic Cotton T-Shirt', TRUE, 0.85, 'India'); | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (asset TEXT, tx_date DATE); INSERT INTO transactions (asset, tx_date) VALUES ('Securitize', '2021-01-01'), ('Securitize', '2021-01-02'), ('Polymath', '2021-01-01'); | What is the average number of transactions per day for all digital assets? | SELECT AVG(transactions_per_day) FROM (SELECT asset, COUNT(*) / COUNT(DISTINCT tx_date) AS transactions_per_day FROM transactions GROUP BY asset) AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE PolicePresence (ID INT, City VARCHAR(50), Date TIMESTAMP, Presence INT); INSERT INTO PolicePresence (ID, City, Date, Presence) VALUES (13, 'CityC', '2015-01-01 00:00:00', 4), (14, 'CityC', '2015-01-01 01:00:00', 5), (15, 'CityC', '2015-01-01 02:00:00', 6), (16, 'CityD', '2015-01-01 00:00:00', 3), (17, 'Cit... | What is the change in police presence for each city, comparing the current record to the previous one, ordered by date? | SELECT City, Date, Presence, Presence - LAG(Presence, 1) OVER (PARTITION BY City ORDER BY Date) AS PresenceChange FROM PolicePresence; | gretelai_synthetic_text_to_sql |
CREATE TABLE EmployeeData (EmployeeID INT, Department VARCHAR(50), Salary DECIMAL(10, 2)); INSERT INTO EmployeeData VALUES (1, 'IT', 50000); INSERT INTO EmployeeData VALUES (2, 'HR', 55000); INSERT INTO EmployeeData VALUES (3, 'Finance', 60000); INSERT INTO EmployeeData VALUES (4, 'IT', 65000); | Get the number of employees in each department who earn more than their department's average salary. | SELECT Department, COUNT(*) AS NumEmployees FROM EmployeeData WHERE Salary > (SELECT AVG(Salary) FROM EmployeeData WHERE Department = EmployeeData.Department) GROUP BY Department; | gretelai_synthetic_text_to_sql |
CREATE TABLE Visitors (VisitorID INT, Age INT, Gender VARCHAR(10), City VARCHAR(50)); INSERT INTO Visitors (VisitorID, Age, Gender, City) VALUES (1, 25, 'Male', 'New York'); INSERT INTO Visitors (VisitorID, Age, Gender, City) VALUES (2, 32, 'Female', 'London'); INSERT INTO Visitors (VisitorID, Age, Gender, City) VALUES... | What is the number of visitors per exhibition in New York and London? | SELECT Exhibitions.Title, COUNT(Attendance.VisitorID) FROM Exhibitions INNER JOIN Attendance ON Exhibitions.ExhibitionID = Attendance.ExhibitionID WHERE Visitors.City IN ('New York', 'London') GROUP BY Exhibitions.Title; | gretelai_synthetic_text_to_sql |
CREATE TABLE economic_diversification (id INT, country VARCHAR(50), year INT, effort FLOAT); INSERT INTO economic_diversification (id, country, year, effort) VALUES (1, 'Brazil', 2018, 0.8), (2, 'Brazil', 2019, 0.9), (3, 'Brazil', 2020, 0.7); | What is the average economic diversification effort in Brazil between 2018 and 2020? | SELECT AVG(effort) FROM economic_diversification WHERE country = 'Brazil' AND year BETWEEN 2018 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE songs (song_id INT, title VARCHAR(255), artist VARCHAR(100), release_year INT, length FLOAT); INSERT INTO songs (song_id, title, artist, release_year, length) VALUES (1, 'Song1', 'Artist X', 2020, 155.5), (2, 'Song2', 'Artist Y', 2019, 205.3), (3, 'Song3', 'Artist X', 2020, 145.7); | What is the average duration (in seconds) of songs produced by "Artist X"? | SELECT AVG(length) FROM songs WHERE artist = 'Artist X'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (id INT PRIMARY KEY, name VARCHAR(255), price DECIMAL(5,2), manufacturer_id INT, is_sustainable BOOLEAN, FOREIGN KEY (manufacturer_id) REFERENCES manufacturers(id)); CREATE TABLE sales (id INT PRIMARY KEY, product_id INT, quantity INT, sale_date DATE, FOREIGN KEY (product_id) REFERENCES products(i... | Determine the monthly sales trend for sustainable products, along with the overall sales trend. | SELECT EXTRACT(MONTH FROM sale_date) as month, SUM(quantity) FILTER (WHERE is_sustainable) as sustainable_sales, SUM(quantity) as total_sales FROM sales JOIN products ON sales.product_id = products.id GROUP BY month ORDER BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE heritage_sites (site_id INT, site_name TEXT, country TEXT); INSERT INTO heritage_sites (site_id, site_name, country) VALUES (1, 'Borobudur Temple', 'Indonesia'), (2, 'Statue of Liberty', 'USA'), (3, 'Sydney Opera House', 'Australia'); | What is the total number of heritage sites in Indonesia? | SELECT COUNT(*) FROM heritage_sites WHERE country = 'Indonesia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping_operations (operation_id INT, operation_name TEXT, start_date DATE, end_date DATE, troops_involved INT, partner_organization TEXT); INSERT INTO peacekeeping_operations (operation_id, operation_name, start_date, end_date, troops_involved, partner_organization) VALUES (1, 'Operation Restore Hope... | What is the total number of peacekeeping operations in which the United Nations was involved as a partner organization? | SELECT COUNT(peacekeeping_operations.operation_id) FROM peacekeeping_operations WHERE peacekeeping_operations.partner_organization = 'United Nations'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Orders (order_id INT, order_date DATE, order_lead_time INT, order_country VARCHAR(50), order_shipped_from VARCHAR(50)); | What is the average lead time for orders placed in the US and shipped from China? | SELECT AVG(order_lead_time) AS avg_lead_time FROM Orders WHERE order_country = 'US' AND order_shipped_from = 'China'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainablePractices (id INT, country TEXT, practice_date DATE); | How many sustainable tourism practices have been implemented in African countries this year? | SELECT COUNT(*) FROM SustainablePractices WHERE country IN ('Africa', 'Northern Africa', 'Southern Africa', 'Eastern Africa', 'Western Africa') AND practice_date >= DATE_SUB(CURDATE(), INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE ResearchLocation (ID INT, Lab VARCHAR(255), Location VARCHAR(255), Year INT, NumPapers INT); INSERT INTO ResearchLocation (ID, Lab, Location, Year, NumPapers) VALUES (1, 'SmartLabs', 'Detroit', 2021, 10), (2, 'RoboLabs', 'Tokyo', 2021, 15), (3, 'SmartLabs', 'Paris', 2021, 20); | How many autonomous driving research papers were published in 'Tokyo' in 2021? | SELECT SUM(NumPapers) FROM ResearchLocation WHERE Location = 'Tokyo' AND Year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists transportation (transport_id INT, transport VARCHAR(20), emission_date DATE, co2_emission INT); INSERT INTO transportation (transport_id, transport, emission_date, co2_emission) VALUES (1, 'Airplane', '2022-01-01', 445), (2, 'Train', '2022-02-01', 14), (3, 'Car', '2022-03-01', 185), (4, 'Bus'... | What is the average CO2 emission for transportation methods by month? | SELECT EXTRACT(MONTH FROM emission_date) as month, AVG(co2_emission) as avg_emission FROM transportation GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE Brands (BrandID INT, BrandName VARCHAR(50), Material VARCHAR(50), Quantity INT);INSERT INTO Brands (BrandID, BrandName, Material, Quantity) VALUES (1, 'BrandA', 'Organic Cotton', 3000), (2, 'BrandB', 'Recycled Polyester', 2500), (1, 'BrandA', 'Organic Silk', 1000), (3, 'BrandC', 'Organic Cotton', 2000), (2... | Identify the top 2 materials with the highest total quantity used by brand 'BrandB'? | SELECT Material, SUM(Quantity) as TotalQuantity FROM Brands WHERE BrandName = 'BrandB' GROUP BY Material ORDER BY TotalQuantity DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE nile_river_basin (household_id INT, water_consumption FLOAT, timestamp TIMESTAMP); INSERT INTO nile_river_basin (household_id, water_consumption, timestamp) VALUES (1, 500, '2022-01-01 10:00:00'), (2, 550, '2022-02-01 10:00:00'); | What is the average water consumption per household in the Nile river basin in the last quarter? | SELECT AVG(water_consumption) FROM nile_river_basin WHERE timestamp BETWEEN DATE_SUB(CURRENT_TIMESTAMP, INTERVAL 3 MONTH) AND CURRENT_TIMESTAMP; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, Country TEXT); INSERT INTO Donors (DonorID, DonorName, Country) VALUES (1, 'John Doe', 'USA'), (2, 'Jane Smith', 'Canada'); CREATE TABLE Donations (DonationID INT, DonorID INT, Amount DECIMAL); INSERT INTO Donations (DonationID, DonorID, Amount) VALUES (1, 1, 500.00), (... | What is the total amount donated by individual donors from the United States? | SELECT SUM(Donations.Amount) FROM Donors INNER JOIN Donations ON Donors.DonorID = Donations.DonorID WHERE Donors.Country = 'USA' AND DonorID <> 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT, budget FLOAT, focus VARCHAR(255)); INSERT INTO projects (id, budget, focus) VALUES (1, 100000.00, 'digital divide'), (2, 150000.00, 'climate change'), (3, 120000.00, 'digital divide'), (4, 75000.00, 'healthcare'), (5, 200000.00, 'digital divide'); | What is the minimum budget of projects focused on digital divide in Africa? | SELECT MIN(budget) FROM projects WHERE focus = 'digital divide'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy (country VARCHAR(20), source VARCHAR(20), capacity INT); INSERT INTO renewable_energy (country, source, capacity) VALUES ('Japan', 'Solar', 70000), ('Japan', 'Wind', 35000), ('Australia', 'Solar', 90000), ('Australia', 'Wind', 50000); | Which renewable energy source has the highest installed capacity in Japan and Australia? | SELECT r1.source, MAX(r1.capacity) as max_capacity FROM renewable_energy r1 WHERE r1.country IN ('Japan', 'Australia') GROUP BY r1.source; | gretelai_synthetic_text_to_sql |
CREATE TABLE Grievances (id INT, CompanyType TEXT, Sector TEXT, FilingDate DATE, GrievanceType TEXT); | What is the total number of grievances filed by non-union workers in the 'Energy' sector in the last 2 years? | SELECT COUNT(*) FROM Grievances WHERE CompanyType != 'Union' AND Sector = 'Energy' AND FilingDate >= DATE(NOW()) - INTERVAL 2 YEAR; | gretelai_synthetic_text_to_sql |
CREATE TABLE greenhouse_sensors ( id INT, sensor_type VARCHAR(20), temperature DECIMAL(5,2), humidity DECIMAL(5,2), light_level INT, timestamp TIMESTAMP); INSERT INTO greenhouse_sensors (id, sensor_type, temperature, humidity, light_level, timestamp) VALUES (1, 'temperature', 22.5, 60, 500, '2022-01-01 10:00:00'), (2, ... | What is the lowest temperature recorded in the greenhouse_sensors table? | SELECT MIN(temperature) FROM greenhouse_sensors WHERE sensor_type = 'temperature'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT, discovered_date DATE, severity VARCHAR(10)); INSERT INTO vulnerabilities (id, discovered_date, severity) VALUES (1, '2022-01-01', 'High'), (2, '2022-01-15', 'Medium'); | How many vulnerabilities were found in the last 30 days, and what is the severity level of each? | SELECT discovered_date, severity, COUNT(*) as num_vulnerabilities FROM vulnerabilities WHERE discovered_date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY) GROUP BY discovered_date, severity; | gretelai_synthetic_text_to_sql |
CREATE TABLE project_timelines (project_id INT, state VARCHAR(2), building_type VARCHAR(20), project_timeline INT); INSERT INTO project_timelines (project_id, state, building_type, project_timeline) VALUES (1, 'OR', 'Residential', 180), (2, 'OR', 'Residential', 200), (3, 'OR', 'Commercial', 240); | What is the average project timeline for sustainable residential building projects in Oregon? | SELECT AVG(project_timeline) FROM project_timelines WHERE state = 'OR' AND building_type = 'Residential'; | gretelai_synthetic_text_to_sql |
CREATE TABLE crime_incidents (incident_id INT, did INT, incident_type VARCHAR(255), incident_date DATE); INSERT INTO crime_incidents (incident_id, did, incident_type, incident_date) VALUES (1, 1, 'Theft', '2022-01-01'), (2, 2, 'Vandalism', '2022-01-02'), (3, 3, 'Assault', '2022-01-03'); | Update records of crime incidents with an 'incident_id' of 2 and change the 'incident_type' to 'Graffiti' | UPDATE crime_incidents SET incident_type = 'Graffiti' WHERE incident_id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE animals (id INT PRIMARY KEY, name VARCHAR(100), species VARCHAR(50), population INT); INSERT INTO animals (id, name, species, population) VALUES (1, 'Giraffe', 'Mammal', 30000), (2, 'Elephant', 'Mammal', 5000); | Select all records where the species is 'Mammal' | SELECT * FROM animals WHERE species = 'Mammal'; | gretelai_synthetic_text_to_sql |
CREATE TABLE packages (id INT, weight FLOAT, shipped_date DATE); INSERT INTO packages (id, weight, shipped_date) VALUES (1, 15.3, '2022-01-01'), (2, 22.1, '2022-01-15'); | What is the maximum weight of packages shipped to Europe in the last month? | SELECT MAX(weight) FROM packages WHERE shipped_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) AND destination = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, name VARCHAR(50), age INT, gender VARCHAR(10), condition VARCHAR(50)); INSERT INTO patients (patient_id, name, age, gender, condition) VALUES (1, 'John Doe', 30, 'Male', 'Anxiety Disorder'); INSERT INTO patients (patient_id, name, age, gender, condition) VALUES (2, 'Jane Smith', 3... | Find the oldest male patient in the 'patients' table. | SELECT * FROM patients WHERE gender = 'Male' ORDER BY age DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE GreenBuildings (id INT PRIMARY KEY, name VARCHAR(255), address VARCHAR(255), certification_level VARCHAR(255), city VARCHAR(255), country VARCHAR(255), built_date DATE); INSERT INTO GreenBuildings (id, name, address, certification_level, city, country, built_date) VALUES (1, 'Green Tower', 'New York', 'LEE... | What is the average construction year for Green Buildings with LEED Platinum certification that were built after 2015? | SELECT certification_level, AVG(YEAR(built_date)) as avg_build_year FROM GreenBuildings WHERE certification_level = 'LEED Platinum' AND built_date >= '2016-01-01' GROUP BY certification_level; | gretelai_synthetic_text_to_sql |
CREATE TABLE login_attempts (id INT, ip_address VARCHAR(255), success BOOLEAN, date DATE); INSERT INTO login_attempts (id, ip_address, success, date) VALUES (1, '192.168.0.1', FALSE, '2022-01-01'), (2, '192.168.0.1', FALSE, '2022-01-02'), (3, '10.0.0.1', TRUE, '2022-01-03'), (4, '192.168.0.2', FALSE, '2022-01-04'), (5,... | How many unique IP addresses have attempted more than 5 failed login attempts in the last week? | SELECT COUNT(DISTINCT ip_address) FROM login_attempts WHERE success = FALSE AND date >= DATEADD(day, -7, GETDATE()) GROUP BY ip_address HAVING COUNT(*) > 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE circular_economy_initiatives (manufacturer_id INT, initiatives INT); INSERT INTO circular_economy_initiatives (manufacturer_id, initiatives) VALUES (1, 3), (2, 5), (3, 4), (4, 6), (5, 2); | How many circular economy initiatives have been implemented by each manufacturer in the ethical fashion industry? | SELECT manufacturer_id, initiatives FROM circular_economy_initiatives; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists infrastructure_projects (id INT, name VARCHAR(100), quarter INT, year INT, total_expenditure FLOAT); INSERT INTO infrastructure_projects (id, name, quarter, year, total_expenditure) VALUES (1, 'Infrastructure Development', 1, 2021, 2000000); | What was the total expenditure on infrastructure projects in 'Q1 2021'? | SELECT SUM(total_expenditure) FROM infrastructure_projects WHERE quarter = 1 AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholders (id INT, policyholder_name VARCHAR(50), state VARCHAR(20)); INSERT INTO policyholders (id, policyholder_name, state) VALUES (1, 'John Doe', 'Texas'), (2, 'Jane Smith', 'California'), (3, 'Alice Johnson', 'Texas'), (4, 'Bob Brown', 'New York'); | How many policyholders live in each state? | SELECT state, COUNT(*) as policyholder_count FROM policyholders GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE Bioprocess (ID INT, Name TEXT, Biosensors TEXT); INSERT INTO Bioprocess (ID, Name, Biosensors) VALUES (2, 'Process_2', 'BS2,BS3'); | Delete the biosensor 'BS3' from the bioprocess 'Process_2'? | DELETE FROM Bioprocess WHERE Name = 'Process_2' AND Biosensors = 'BS3'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fabric_inventory (id INT, fabric_name VARCHAR(50), quantity_sourced INT, country_of_origin VARCHAR(50), source_date DATE); INSERT INTO fabric_inventory (id, fabric_name, quantity_sourced, country_of_origin, source_date) VALUES (1, 'Organic Cotton', 5000, 'India', '2021-01-05'), (2, 'Recycled Polyester', 30... | What is the total quantity of organic cotton fabric sourced from India in Q1 2021? | SELECT SUM(quantity_sourced) FROM fabric_inventory WHERE fabric_name = 'Organic Cotton' AND country_of_origin = 'India' AND QUARTER(source_date) = 1 AND YEAR(source_date) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (id INT, platform VARCHAR(20));CREATE TABLE games (id INT, player_id INT, game_type VARCHAR(10));CREATE TABLE vr_games (id INT, player_id INT, last_played DATE); | What is the number of unique players who have played on each gaming platform, and the percentage of players who have played VR games? | SELECT p.platform, COUNT(DISTINCT p.id) AS players, 100.0 * COUNT(DISTINCT v.player_id) / COUNT(DISTINCT g.player_id) AS vr_players_percentage FROM players p LEFT JOIN games g ON p.id = g.player_id LEFT JOIN vr_games v ON p.id = v.player_id GROUP BY p.platform; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech; CREATE TABLE if not exists biotech.startups (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), funding FLOAT); INSERT INTO biotech.startups (id, name, location, funding) VALUES (1, 'StartupA', 'India', 4000000), (2, 'StartupB', 'India', 5000000), (3, 'StartupC', 'Canada'... | What is the total funding received by biotech startups based in India? | SELECT SUM(funding) FROM biotech.startups WHERE location = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE concert_ticket_prices (tier_num INT, concert_name VARCHAR(255), tier_price INT); | What is the maximum ticket price for each tier in the 'concert_ticket_prices' table? | SELECT tier_num, MAX(tier_price) as max_price FROM concert_ticket_prices GROUP BY tier_num; | gretelai_synthetic_text_to_sql |
CREATE TABLE Scores (ScoreID INT, ActID INT, ImpactScore INT); INSERT INTO Scores (ScoreID, ActID, ImpactScore) VALUES (1, 1, 8), (2, 1, 9), (3, 2, 7), (4, 2, 8), (5, 3, 9), (6, 3, 10); | What is the average social impact score for each type of activity? | SELECT Activity, AVG(ImpactScore) as AvgScore FROM (SELECT ActID, AVG(ImpactScore) as ImpactScore, Activity FROM Scores JOIN Activities ON Scores.ActID = Activities.ActID GROUP BY ActID, Activity) as A GROUP BY Activity; | gretelai_synthetic_text_to_sql |
CREATE TABLE plants (id INT, state VARCHAR(20), capacity INT); INSERT INTO plants (id, state, capacity) VALUES (1, 'California', 500), (2, 'Texas', 400), (3, 'California', 600), (4, 'New_York', 300); | List the top 3 states with the highest wastewater treatment capacity? | SELECT state, SUM(capacity) as total_capacity FROM plants GROUP BY state ORDER BY total_capacity DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT PRIMARY KEY, name VARCHAR(50), location VARCHAR(50), crops VARCHAR(50)); INSERT INTO farmers (id, name, location, crops) VALUES (1, 'Jane Doe', 'Kenya', 'Cassava, Maize'), (2, 'Alex Smith', 'Nigeria', 'Cassava'), (3, 'Olivia Brown', 'South Africa', 'Wheat'); CREATE TABLE sales (id INT PRIMA... | Who are the farmers in 'Africa' growing 'Cassava' and what is the total quantity sold? | SELECT f.name, SUM(s.quantity) as total_quantity FROM farmers f JOIN sales s ON f.id = s.farmer_id WHERE f.location = 'Africa' AND s.crop = 'Cassava' GROUP BY f.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE coal_production (site_id INT, site_name TEXT, region TEXT, month INT, year INT, coal_quantity INT); INSERT INTO coal_production (site_id, site_name, region, month, year, coal_quantity) VALUES (4, 'JKL Mine', 'South', 1, 2022, 5000), (5, 'MNO Mine', 'South', 2, 2022, 6000), (6, 'PQR Mine', 'South', 3, 2022,... | What is the total quantity of coal extracted at the 'South' region mines in Q1 2022? | SELECT region, SUM(coal_quantity) as total_q1_2022 FROM coal_production WHERE region = 'South' AND month BETWEEN 1 AND 3 AND year = 2022 GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE providers (id INT, name TEXT, service TEXT, location TEXT); INSERT INTO providers (id, name, service, location) VALUES (1, 'Healthcare One', 'Primary Care', 'Wisconsin'); INSERT INTO providers (id, name, service, location) VALUES (2, 'Care Central', 'Mental Health', 'Wisconsin'); INSERT INTO providers (id,... | Delete records of providers in Wisconsin that do not offer mental health services. | DELETE FROM providers WHERE location = 'Wisconsin' AND service != 'Mental Health' | gretelai_synthetic_text_to_sql |
CREATE TABLE ufp_offered (bank_name TEXT, product TEXT); INSERT INTO ufp_offered (bank_name, product) VALUES ('Al Ain Bank', 'Murabaha'), ('Dubai Islamic Bank', 'Ijara'), ('Emirates Islamic Bank', 'Takaful'), ('Noor Bank', 'Musharaka'); | What are the unique financial products offered by Shariah-compliant banks in the United Arab Emirates? | SELECT DISTINCT product FROM ufp_offered WHERE bank_name IN ('Al Ain Bank', 'Dubai Islamic Bank', 'Emirates Islamic Bank', 'Noor Bank') AND country = 'United Arab Emirates'; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_communication (initiative_id INT, initiative_name VARCHAR(100), year INT, region VARCHAR(50)); | How many climate communication initiatives were conducted in South Asia in 2020? | SELECT COUNT(initiative_id) FROM climate_communication WHERE year = 2020 AND region = 'South Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE GameSessions (GameID INT, SessionDuration TIME); CREATE TABLE GameDetails (GameID INT, GameName VARCHAR(100)); | List all games and their total duration in the 'GameSessions' and 'GameDetails' tables | SELECT gd.GameName, SUM(gs.SessionDuration) as TotalGameDuration FROM GameSessions gs INNER JOIN GameDetails gd ON gs.GameID = gd.GameID GROUP BY gd.GameName; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (id INT, name TEXT, num_volunteers INT); CREATE TABLE regions (id INT, region TEXT); INSERT INTO organizations (id, name, num_volunteers) VALUES (1, 'Habitat for Humanity', 500), (2, 'Red Cross', 300), (3, 'UNICEF', 200); INSERT INTO regions (id, region) VALUES (1, 'Midwest'), (2, 'Southeast'... | What is the average number of volunteers for organizations in the Midwest? | SELECT AVG(o.num_volunteers) AS avg_volunteers FROM organizations o JOIN regions r ON o.id = r.id WHERE r.region = 'Midwest'; | gretelai_synthetic_text_to_sql |
CREATE TABLE policies (id INT, name VARCHAR(255), details TEXT, last_modified DATE); INSERT INTO policies (id, name, details, last_modified) VALUES (1, 'Acceptable Use Policy', '...', '2022-01-01'); | What are the names and details of all policies that have been altered in the last week? | SELECT name, details FROM policies WHERE last_modified >= DATE(NOW()) - INTERVAL 7 DAY; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_mammals (name VARCHAR(255), location VARCHAR(255), population INT); INSERT INTO marine_mammals (name, location, population) VALUES ('Blue Whale', 'Pacific Ocean', 2000), ('Dolphin', 'Atlantic Ocean', 1500), ('Seal', 'Arctic Ocean', 1000); | What is the average population of marine mammals in the Atlantic and Arctic Oceans? | SELECT AVG(population) FROM marine_mammals WHERE location IN ('Atlantic Ocean', 'Arctic Ocean'); | gretelai_synthetic_text_to_sql |
CREATE TABLE InternationalConferences (ConferenceID INT, ConferenceName VARCHAR(50), Location VARCHAR(50)); | Determine the number of unique countries represented in the InternationalConferences table. | SELECT COUNT(DISTINCT Location) FROM InternationalConferences; | gretelai_synthetic_text_to_sql |
CREATE TABLE unions (id INT, name VARCHAR(255), industry VARCHAR(255), member_gender VARCHAR(10), member_count INT); INSERT INTO unions (id, name, industry, member_gender, member_count) VALUES (1, 'Union A', 'technology', 'male', 200), (2, 'Union B', 'technology', 'female', 150), (3, 'Union C', 'technology', 'male', 25... | What is the total number of male and female members in unions with a 'technology' industry classification? | SELECT SUM(CASE WHEN member_gender = 'male' THEN member_count ELSE 0 END) as total_male, SUM(CASE WHEN member_gender = 'female' THEN member_count ELSE 0 END) as total_female FROM unions WHERE industry = 'technology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE InfrastructureProjects (id INT, name VARCHAR(100), region VARCHAR(50), project_type VARCHAR(50), cost FLOAT, completion_date DATE); INSERT INTO InfrastructureProjects (id, name, region, project_type, cost, completion_date) VALUES (1, 'New York Bridge', 'Atlantic', 'bridge', 30000000, '2017-01-01'); | What is the average cost of bridge projects in the Atlantic region that were completed after 2015? | SELECT AVG(cost) FROM InfrastructureProjects WHERE region = 'Atlantic' AND project_type = 'bridge' AND completion_date > '2015-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE na_compounds (compound_id INT, compound_name TEXT, country TEXT, production_quantity INT); INSERT INTO na_compounds (compound_id, compound_name, country, production_quantity) VALUES (1, 'Compound H', 'USA', 8000), (2, 'Compound I', 'Canada', 9000), (3, 'Compound J', 'USA', 7000), (4, 'Compound K', 'Mexico'... | What are the maximum and minimum production quantities (in kg) for chemical compounds in the North America region, grouped by country? | SELECT country, MAX(production_quantity) as max_production, MIN(production_quantity) as min_production FROM na_compounds GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE IoTDevices (region VARCHAR(255), device_id INT, firmware_version VARCHAR(255)); INSERT INTO IoTDevices (region, device_id, firmware_version) VALUES ('South America', 1001, '3.4.5'), ('North America', 1002, '3.5.1'), ('South America', 1003, '3.4.8'), ('Asia', 1004, '3.6.0'); | Identify the number of IoT devices in the 'South America' region with a firmware version lower than 3.5.0. | SELECT COUNT(*) FROM IoTDevices WHERE region = 'South America' AND firmware_version < '3.5.0'; | gretelai_synthetic_text_to_sql |
CREATE TABLE large_loans (bank_id INT, amount DECIMAL(10,2)); INSERT INTO large_loans (bank_id, amount) VALUES (1, 12000.00), (1, 15000.00), (2, 10000.00), (2, 11000.00); | Identify the bank with the highest percentage of loans above $10,000? | SELECT bank_id, 100.0 * SUM(amount) / (SELECT SUM(amount) FROM large_loans) as large_loan_percentage FROM large_loans GROUP BY bank_id ORDER BY large_loan_percentage DESC FETCH FIRST 1 ROW ONLY; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_items (id INT, name TEXT, sales INT); CREATE TABLE ingredient_costs (menu_item_id INT, ingredient TEXT, cost INT); | What is the total amount spent on ingredients for each menu item, excluding items with no sales? | SELECT menu_items.name, SUM(ingredient_costs.cost) FROM ingredient_costs JOIN menu_items ON ingredient_costs.menu_item_id = menu_items.id WHERE menu_items.sales > 0 GROUP BY menu_items.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE network_devices (id INT, name VARCHAR(50), install_date DATE); INSERT INTO network_devices (id, name, install_date) VALUES (1, 'RouterA', '2022-01-01'), (2, 'SwitchB', '2021-01-01'); | Which network devices were installed in Q1 2022? | SELECT name FROM network_devices WHERE install_date BETWEEN '2022-01-01' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE facility (id INT, name VARCHAR(50), type VARCHAR(50), capacity INT); INSERT INTO facility (id, name, type, capacity) VALUES (1, 'Sunshine General', 'Hospital', 500); | Update the capacity of an existing healthcare facility in the facility table. | UPDATE facility SET capacity = 600 WHERE name = 'Sunshine General'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PollutionControl (id INT, initiative VARCHAR(50), region VARCHAR(20)); INSERT INTO PollutionControl (id, initiative, region) VALUES (1, 'Ocean Cleanup', 'Arctic'), (2, 'Plastic Reduction', 'Atlantic'), (3, 'Carbon Capture', 'Global'); | Which pollution control initiatives have been implemented in the Arctic region? | SELECT initiative FROM PollutionControl WHERE region = 'Arctic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellites (id INT, name VARCHAR(255), country VARCHAR(255), launch_date DATE); INSERT INTO satellites (id, name, country, launch_date) VALUES (1, 'Sputnik', 'Russia', '1957-10-04'); INSERT INTO satellites (id, name, country, launch_date) VALUES (2, 'Explorer 1', 'USA', '1958-01-31'); | Delete all satellites launched before 2010 from the satellites table | DELETE FROM satellites WHERE launch_date < '2010-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE RecyclingRates (material VARCHAR(50), date DATE, recycling_rate DECIMAL(5,2)); INSERT INTO RecyclingRates VALUES ('Plastic', '2021-01-01', 0.65), ('Plastic', '2021-01-02', 0.67), ('Paper', '2021-01-01', 0.70), ('Paper', '2021-01-02', 0.72), ('Glass', '2021-01-01', 0.55), ('Glass', '2021-01-02', 0.56), ('Me... | What is the minimum recycling rate for each material in the past year? | SELECT material, MIN(recycling_rate) FROM RecyclingRates WHERE date >= DATEADD(year, -1, GETDATE()) GROUP BY material; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (id INT, name VARCHAR(255), type VARCHAR(255), city VARCHAR(255), revenue FLOAT); INSERT INTO restaurants (id, name, type, city, revenue) VALUES (1, 'Restaurant A', 'Italian', 'New York', 5000.00), (2, 'Restaurant B', 'Asian', 'New York', 8000.00), (3, 'Restaurant C', 'Mexican', 'Los Angeles', ... | List the restaurants that have a revenue greater than the average revenue for restaurants in the same city. | SELECT name FROM restaurants r1 WHERE revenue > (SELECT AVG(revenue) FROM restaurants r2 WHERE r1.city = r2.city); | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, customer_name VARCHAR(255), plan_id INT, last_used_date DATE); INSERT INTO customers (customer_id, customer_name, plan_id, last_used_date) VALUES (1, 'John Doe', 2, '2022-04-15'), (2, 'Jane Smith', 1, '2022-05-01'), (3, 'Bob Johnson', 2, '2022-06-01'); | List all customers who have not used their mobile plans in the last 30 days. | SELECT customer_id, customer_name, plan_id FROM customers WHERE last_used_date < DATEADD(day, -30, CURRENT_TIMESTAMP); | gretelai_synthetic_text_to_sql |
CREATE TABLE Product (product_id INT PRIMARY KEY, product_name VARCHAR(50), price DECIMAL(5,2), is_circular_supply_chain BOOLEAN, material_recycled BOOLEAN); | Find the average price of products that are part of a circular supply chain and are made of recycled materials in the 'Product' table | SELECT AVG(price) FROM Product WHERE is_circular_supply_chain = TRUE AND material_recycled = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE subscribers (id INT, type VARCHAR(10), region VARCHAR(10)); INSERT INTO subscribers (id, type, region) VALUES (1, 'prepaid', 'island'), (2, 'postpaid', 'island'), (3, 'prepaid', 'island'), (4, 'postpaid', 'coastal'); | What is the total number of prepaid mobile customers in the 'island' region? | SELECT COUNT(*) FROM subscribers WHERE type = 'prepaid' AND region = 'island'; | gretelai_synthetic_text_to_sql |
CREATE TABLE bookings (booking_id INT, hotel_id INT, revenue INT); INSERT INTO bookings (booking_id, hotel_id, revenue) VALUES (1, 1, 5000); | Delete all records for a specific hotel in the 'bookings' table. | DELETE FROM bookings WHERE hotel_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE impact (id INT, country TEXT, tourism INT, economic INT); INSERT INTO impact (id, country, tourism, economic) VALUES (1, 'Indonesia', 50000, 1000000); | Get the local economic impact of tourism in Indonesia. | SELECT economic FROM impact WHERE country = 'Indonesia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Budget (Year INT, County VARCHAR(20), Department VARCHAR(20), Amount INT); INSERT INTO Budget (Year, County, Department, Amount) VALUES (2022, 'CountyE', 'Transportation', 1500000); | What was the total budget allocated for 'Transportation' in 'CountyE' in 2022? | SELECT SUM(Amount) FROM Budget WHERE Year = 2022 AND County = 'CountyE' AND Department = 'Transportation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, age INT, has_hypertension BOOLEAN, gender VARCHAR, state VARCHAR); INSERT INTO patients (patient_id, age, has_hypertension, gender, state) VALUES (1, 45, true, 'Female', 'California'); INSERT INTO patients (patient_id, age, has_hypertension, gender, state) VALUES (2, 50, true, 'Ma... | What is the prevalence of hypertension in rural areas, grouped by state and gender? | SELECT state, gender, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM patients JOIN rural_areas ON patients.state = rural_areas.state) AS prevalence FROM patients JOIN rural_areas ON patients.state = rural_areas.state WHERE has_hypertension = true GROUP BY state, gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE skincare_sales (sale_id INT, product_id INT, sale_quantity INT, is_eco_friendly BOOLEAN, sale_date DATE, country VARCHAR(20)); INSERT INTO skincare_sales VALUES (1, 35, 9, true, '2021-11-15', 'Japan'); INSERT INTO skincare_sales VALUES (2, 36, 4, false, '2021-11-15', 'Japan'); | What is the total quantity of eco-friendly skincare products sold in Japan in the last year? | SELECT SUM(sale_quantity) FROM skincare_sales WHERE is_eco_friendly = true AND revenue_date BETWEEN '2020-01-01' AND '2021-12-31' AND country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE victim_services (id INT, case_number INT, victim_name VARCHAR(255), service_type VARCHAR(255)); INSERT INTO victim_services (id, case_number, victim_name, service_type) VALUES (1, 1234, 'John Doe', 'Counseling'); CREATE TABLE defendant_services (id INT, case_number INT, defendant_name VARCHAR(255), service... | What is the total number of cases in both 'victim_services' and 'defendant_services' tables? | SELECT COUNT(DISTINCT v.case_number) FROM victim_services v JOIN defendant_services d ON v.case_number = d.case_number; | gretelai_synthetic_text_to_sql |
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