context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE Programs (ProgramID INT, ProgramName VARCHAR(50), Location VARCHAR(50), Budget DECIMAL(10,2), StartDate DATE, EndDate DATE); INSERT INTO Programs (ProgramID, ProgramName, Location, Budget, StartDate, EndDate) VALUES (5, 'Technology', 'Toronto', 30000.00, '2021-01-01', '2021-12-31'), (6, 'Social Work', 'Mon... | What is the average budget and number of programs for each location? | SELECT Location, AVG(Budget), COUNT(*) FROM Programs GROUP BY Location; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_plants (id INT, name VARCHAR(255), lat FLOAT, long FLOAT); INSERT INTO water_plants (id, name, lat, long) VALUES (1, 'Plant C', 37.7749, -122.4194), (2, 'Plant D', 29.7604, -95.3698); CREATE TABLE drought_status (id INT, region VARCHAR(255), status VARCHAR(255)); INSERT INTO drought_status (id, regio... | Which water treatment plants are located in drought-prone areas with a drought status of 'extreme'? | SELECT w.name, ds.status FROM water_plants w JOIN drought_status ds ON ST_DWithin(ST_SetSRID(ST_MakePoint(w.long, w.lat), 4326), ST_SetSRID(ST_MakePoint(ds.long, ds.lat), 4326), 100000) WHERE ds.status = 'extreme'; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (id INT, name VARCHAR(30), program VARCHAR(30)); INSERT INTO students (id, name, program) VALUES (1, 'John Doe', 'Computer Science'), (2, 'Jane Smith', 'Physics'); | List the names and programs of all graduate students | SELECT name, program FROM students; | gretelai_synthetic_text_to_sql |
CREATE TABLE public.biosensors ( id SERIAL PRIMARY KEY, name VARCHAR(100), type VARCHAR(50), country VARCHAR(50), funding INTEGER ); CREATE TABLE public.startups ( id SERIAL PRIMARY KEY, name VARCHAR(100), industry VARCHAR(50), funding INTEGER ); CREATE TABLE public.investors ( id SERIAL PRIMARY KEY, name VARCHAR(100),... | What are the biosensors produced by startups that have received funding from government organizations, and are located in India or China? | SELECT biosensors.name FROM public.biosensors JOIN public.startups ON biosensors.name = startups.name JOIN public.investments ON startups.id = investments.startup_id JOIN public.investors ON investments.investor_id = investors.id WHERE (biosensors.country = 'India' OR biosensors.country = 'China') AND investors.type = ... | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (id INT, mission_name VARCHAR(50), launch_date DATE, country_of_origin VARCHAR(50)); INSERT INTO space_missions (id, mission_name, launch_date, country_of_origin) VALUES (1, 'Artemis I', '2022-08-29', 'USA'); INSERT INTO space_missions (id, mission_name, launch_date, country_of_origin) VALUE... | List all space missions that have involved international collaboration, along with the participating countries. | SELECT mission_name, country_of_origin FROM space_missions WHERE country_of_origin <> 'USA' AND country_of_origin <> (SELECT country_of_origin FROM space_missions WHERE mission_name = 'Artemis I'); | gretelai_synthetic_text_to_sql |
CREATE TABLE professor_advising (id INT, professor TEXT, num_students INT); INSERT INTO professor_advising (id, professor, num_students) VALUES (1, 'Alice', 5); INSERT INTO professor_advising (id, professor, num_students) VALUES (2, 'Bob', 3); | What are the research interests of professors who have advised the most graduate students in the past year? | SELECT professor, research_interest FROM professors p JOIN professor_advising pa ON p.name = pa.professor ORDER BY num_students DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(20), country VARCHAR(20), last_login TIMESTAMP); INSERT INTO users (id, name, country, last_login) VALUES (3, 'Bob', 'UK', '2021-01-04 10:00:00'); | How many users from each country are there in the users table? | SELECT country, COUNT(*) as users FROM users GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_events (id INT, city VARCHAR(50), event VARCHAR(50), month VARCHAR(50), attendance INT); INSERT INTO cultural_events (id, city, event, month, attendance) VALUES (1, 'New York', 'Art Exhibit', 'January', 2500), (2, 'Los Angeles', 'Theater Performance', 'February', 1800), (3, 'Chicago', 'Music Conce... | What is the average attendance for cultural events by month? | SELECT month, AVG(attendance) as avg_attendance FROM cultural_events GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (id INT, labor_practices VARCHAR(20)); INSERT INTO production (id, labor_practices) VALUES (1, 'fair labor'), (2, 'fair labor'), (3, 'unfair labor'); | How many items are produced using fair labor practices? | SELECT COUNT(*) FROM production WHERE labor_practices = 'fair labor'; | gretelai_synthetic_text_to_sql |
CREATE TABLE orders(order_id INT, dish VARCHAR(255), category VARCHAR(255), quantity INT); INSERT INTO orders(order_id, dish, category, quantity) VALUES (1, 'Tofu Stir Fry', 'Starter', 3), (2, 'Lentil Soup', 'Starter', 5), (3, 'Chickpea Curry', 'Main', 2), (4, 'Tofu Curry', 'Main', 4), (5, 'Quinoa Salad', 'Side', 6), (... | Show the bottom 2 least frequently ordered dishes in each category. | SELECT category, dish, quantity FROM (SELECT category, dish, quantity, ROW_NUMBER() OVER(PARTITION BY category ORDER BY quantity ASC) as row_num FROM orders) as ranked_orders WHERE row_num <= 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE dishes (dish_id INT, dish_name VARCHAR(255), last_sold DATE); CREATE TABLE orders (order_id INT, dish_id INT, quantity INT, order_date DATE); INSERT INTO dishes VALUES (1, 'Pizza Margherita', '2022-04-15'); INSERT INTO dishes VALUES (2, 'Chole Bhature', '2022-04-20'); INSERT INTO orders VALUES (1, 1, 5, '2... | How many times has each dish been ordered, excluding dishes sold more than 60 days ago? | SELECT d.dish_name, SUM(o.quantity) as total_orders FROM dishes d JOIN orders o ON d.dish_id = o.dish_id WHERE last_sold > DATE_SUB(CURRENT_DATE, INTERVAL 60 DAY) GROUP BY d.dish_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE algorithmic_fairness (algorithm_id INT, name TEXT, safety_rating FLOAT); INSERT INTO algorithmic_fairness (algorithm_id, name, safety_rating) VALUES (1, 'AlgorithmA', 4.3), (2, 'AlgorithmB', 4.7), (3, 'AlgorithmC', 4.5); | What is the average safety rating of all AI algorithms in the 'algorithmic_fairness' table? | SELECT AVG(safety_rating) FROM algorithmic_fairness; | gretelai_synthetic_text_to_sql |
CREATE TABLE production_figures (well_name VARCHAR(255), year INT, monthly_production INT); INSERT INTO production_figures (well_name, year, monthly_production) VALUES ('Well A', 2018, 90000); INSERT INTO production_figures (well_name, year, monthly_production) VALUES ('Well A', 2019, 110000); INSERT INTO production_fi... | What was the production difference between 2019 and 2018 for each well? | SELECT well_name, (SUM(monthly_production) FILTER (WHERE year = 2019) - SUM(monthly_production) FILTER (WHERE year = 2018)) as production_difference FROM production_figures GROUP BY well_name | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (VesselID INT, VesselName VARCHAR(255)); INSERT INTO Vessels (VesselID, VesselName) VALUES (1, 'VesselA'), (2, 'VesselB'), (3, 'VesselC'); CREATE TABLE Voyages (VoyageID INT, VesselID INT, StartPort VARCHAR(255), EndPort VARCHAR(255), VoyageDuration INT); INSERT INTO Voyages (VoyageID, VesselID, St... | What is the maximum duration of a voyage for vessels that have voyaged to the Port of Singapore? | SELECT MAX(VoyageDuration) FROM Voyages V WHERE V.EndPort = 'Singapore'; | gretelai_synthetic_text_to_sql |
CREATE TABLE biotech_startups (id INT, name VARCHAR(100), location VARCHAR(100), funding FLOAT); INSERT INTO biotech_startups (id, name, location, funding) VALUES (1, 'Startup A', 'India', 12000000); INSERT INTO biotech_startups (id, name, location, funding) VALUES (2, 'Startup B', 'India', 18000000); | Insert a new record for 'Startup C' with a funding amount of 25000000. | INSERT INTO biotech_startups (name, location, funding) VALUES ('Startup C', 'India', 25000000); | gretelai_synthetic_text_to_sql |
CREATE TABLE green_infrastructure_funding (funding_id INT, project_id INT, funding_source VARCHAR(50), amount FLOAT, start_date DATE, end_date DATE);CREATE TABLE renewable_energy_projects (project_id INT, green_building_id INT, energy_source VARCHAR(50), capacity FLOAT, start_date DATE, end_date DATE);CREATE VIEW funde... | Summarize the total funding and number of projects for each energy source and funding source combination, using a SQL query with a window function. | SELECT energy_source, funding_source, total_funding, project_count FROM funding_summary; | gretelai_synthetic_text_to_sql |
CREATE TABLE esg_scores_2 (investment_id INT, sector VARCHAR(20), esg_score FLOAT); INSERT INTO esg_scores_2 (investment_id, sector, esg_score) VALUES (1, 'Healthcare', 80.5), (2, 'Education', 87.3), (3, 'Healthcare', 84.2), (4, 'Finance', 82.1); | What is the minimum ESG score for investments in the 'Education' sector? | SELECT MIN(esg_score) FROM esg_scores_2 WHERE sector = 'Education'; | gretelai_synthetic_text_to_sql |
CREATE TABLE IoT_Sensors (farm_type VARCHAR(20), country VARCHAR(20), num_sensors INTEGER); INSERT INTO IoT_Sensors (farm_type, country, num_sensors) VALUES ('Vineyard', 'Australia', 450), ('Vineyard', 'Australia', 520), ('Orchard', 'Australia', 380), ('Orchard', 'Australia', 410), ('Orchard', 'Australia', 460), ('Vine... | List the number of IoT sensors in vineyards and orchards in Australia. | SELECT farm_type, SUM(num_sensors) FROM IoT_Sensors WHERE country = 'Australia' AND farm_type IN ('Vineyard', 'Orchard') GROUP BY farm_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellites (name TEXT, country TEXT, weight FLOAT); INSERT INTO satellites (name, country, weight) VALUES ('Hayabusa', 'Japan', 500.0); | What is the total weight of all satellites launched by Japan in the satellites table? | SELECT SUM(weight) FROM satellites WHERE country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE drilling_data (well_id INT, drilling_date DATE, well_depth INT, country TEXT); INSERT INTO drilling_data (well_id, drilling_date, well_depth, country) VALUES (1, '2015-01-01', 12000, 'Brazil'); INSERT INTO drilling_data (well_id, drilling_date, well_depth, country) VALUES (2, '2016-05-15', 15000, 'Nigeria'... | How many wells were drilled in Nigeria between 2016 and 2018? | SELECT COUNT(*) FROM drilling_data WHERE country = 'Nigeria' AND drilling_date BETWEEN '2016-01-01' AND '2018-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE media_ethics (reader_id INT, preference TEXT, age INT); INSERT INTO media_ethics (reader_id, preference, age) VALUES (1, 'digital', 35), (2, 'print', 42), (3, 'digital', 28); | What is the average age of readers who prefer digital news in 'media_ethics' table? | SELECT AVG(age) FROM media_ethics WHERE preference = 'digital'; | gretelai_synthetic_text_to_sql |
CREATE TABLE field1 (date DATE, temperature FLOAT); INSERT INTO field1 (date, temperature) VALUES ('2021-06-01', 25.5), ('2021-06-02', 24.3), ('2021-06-03', 26.1); | What is the average temperature in the 'field1' for the month of June? | SELECT AVG(temperature) FROM field1 WHERE EXTRACT(MONTH FROM date) = 6 AND field1.date::text LIKE '2021-06-%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE coal_mines (id INT, name TEXT, location TEXT, production INT); INSERT INTO coal_mines (id, name, location, production) VALUES (1, 'Coal Mine A', 'Country X', 1200); INSERT INTO coal_mines (id, name, location, production) VALUES (2, 'Coal Mine B', 'Country W', 1500); INSERT INTO coal_mines (id, name, locati... | How many coal mines in the 'coal_mines' table are located in 'Country W' and produce more than 1000 tons of coal? | SELECT COUNT(*) FROM coal_mines WHERE location = 'Country W' AND production > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE orders(id INT, date DATE, quantity INT); INSERT INTO orders(id, date, quantity) VALUES (1, '2022-01-01', 3), (2, '2022-02-01', 5), (3, '2022-03-01', 4); | What is the moving average of customer orders for the past 3 months? | SELECT date, AVG(quantity) OVER (ORDER BY date ROWS BETWEEN 89 PRECEDING AND CURRENT ROW) as moving_average FROM orders WHERE date >= CURRENT_DATE - INTERVAL '3 months'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vendors (id INT, name VARCHAR(50), type VARCHAR(50)); INSERT INTO vendors (id, name, type) VALUES (1, 'Sushi Bar', 'Restaurant'), (2, 'Bakery', 'Restaurant'), (3, 'Grocery', 'Market'), (4, 'Organic Farm', 'Farm'), (5, 'Tofu Producer', 'Manufacturer'); | Show the number of vendors for each type | SELECT type, COUNT(*) AS vendor_count FROM vendors GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists bioprocessing;CREATE TABLE if not exists bioprocessing.projects (id INT PRIMARY KEY, name VARCHAR(100), region VARCHAR(100)); INSERT INTO bioprocessing.projects (id, name, region) VALUES (1, 'ProjA', 'Dubai'), (2, 'ProjB', 'Riyadh'), (3, 'ProjC', 'Johannesburg'), (4, 'ProjD', 'Cape Town'), (... | How many bioprocess engineering projects are in the Middle East and Africa? | SELECT COUNT(*) FROM bioprocessing.projects WHERE region = 'Middle East' OR region = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(100), sales INT, certification VARCHAR(20)); INSERT INTO products (product_id, product_name, sales, certification) VALUES (1, 'Lipstick A', 5000, 'cruelty-free'), (2, 'Mascara B', 7000, 'not_certified'), (3, 'Foundation C', 8000, 'cruelty-free'); CREATE TABLE ... | What is the total sales volume of cosmetic products in the Brazilian market that are not certified cruelty-free and contain 'alcohol' as an ingredient? | SELECT SUM(products.sales) FROM products JOIN ingredients ON products.product_id = ingredients.product_id JOIN countries ON products.country_code = countries.country_code WHERE products.certification != 'cruelty-free' AND ingredients.ingredient_name = 'alcohol' AND countries.country_name = 'Brazil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artifacts (ArtifactID INT, ArtifactName TEXT, Period TEXT, AnalyzedBy TEXT); INSERT INTO Artifacts (ArtifactID, ArtifactName, Period, AnalyzedBy) VALUES (1, 'Pompeii Amphora', 'Roman', 'UK'); | List all artifacts from the Roman period, analyzed by researchers from the UK and USA. | SELECT ArtifactName FROM Artifacts WHERE Period = 'Roman' AND AnalyzedBy IN ('UK', 'USA') | gretelai_synthetic_text_to_sql |
CREATE TABLE Attorneys (AttorneyID int, Name varchar(50)); INSERT INTO Attorneys VALUES (1, 'John Smith'), (2, 'Jane Doe'); CREATE TABLE Cases (CaseID int, AttorneyID int, Outcome varchar(10)); INSERT INTO Cases VALUES (1, 1, 'Won'), (2, 1, 'Lost'), (3, 2, 'Won'), (4, 2, 'Won'); | How many cases were handled by each attorney by case outcome? | SELECT A.Name, C.Outcome, COUNT(C.CaseID) as NumCases FROM Attorneys A JOIN Cases C ON A.AttorneyID = C.AttorneyID GROUP BY A.Name, C.Outcome; | gretelai_synthetic_text_to_sql |
CREATE TABLE support_programs (program_name VARCHAR(50), department VARCHAR(50)); INSERT INTO support_programs VALUES ('Counseling', 'Psychology'), ('Group Therapy', 'Social Work'), ('Counseling', 'Psychology'), ('Accessibility Services', 'General'); | List the number of support programs offered by each department, excluding any duplicate program names, for the departments of social work and psychology. | SELECT department, COUNT(DISTINCT program_name) FROM support_programs WHERE department IN ('Social Work', 'Psychology') GROUP BY department; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech;CREATE TABLE if not exists biotech.startups (id INT, name VARCHAR(100), country VARCHAR(50), funding DECIMAL(10,2));INSERT INTO biotech.startups (id, name, country, funding) VALUES (1, 'StartupA', 'US', 5000000.00), (2, 'StartupB', 'CA', 7000000.00), (3, 'StartupC', 'MX', 3000000.00)... | What is the average funding received by biotech startups per country? | SELECT country, AVG(funding) as avg_funding FROM biotech.startups GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (product_type VARCHAR(255), water_consumption NUMERIC, production_date DATE); INSERT INTO production (product_type, water_consumption, production_date) VALUES ('denim_jeans', 2000, '2022-04-01'); INSERT INTO production (product_type, water_consumption, production_date) VALUES ('cotton_t-shirt', ... | What was the total water consumption for denim production in Q2 2022? | SELECT SUM(water_consumption) FROM production WHERE product_type LIKE 'denim%' AND production_date BETWEEN '2022-04-01' AND '2022-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE routes (route_name VARCHAR(50), total_fare DECIMAL(10,2)); INSERT INTO routes (route_name, total_fare) VALUES ('Red Line', 1200.00), ('Green Line', 1500.00), ('Blue Line', 1800.00); | What is the total fare collected from passengers on the 'Green Line'? | SELECT SUM(total_fare) FROM routes WHERE route_name = 'Green Line'; | gretelai_synthetic_text_to_sql |
CREATE TABLE streams (stream_id INT, track_id INT, genre VARCHAR(50), country VARCHAR(50), timestamp TIMESTAMP, revenue FLOAT); INSERT INTO streams (stream_id, track_id, genre, country, timestamp, revenue) VALUES (1, 3001, 'Pop', 'US', '2022-01-01 00:00:00', 0.05), (2, 3002, 'Pop', 'US', '2022-01-02 12:30:00', 0.07); | What is the average revenue per stream for the Pop genre in the US for the past month? | SELECT AVG(revenue) FROM streams WHERE genre = 'Pop' AND country = 'US' AND timestamp >= '2022-02-01' AND timestamp < '2022-03-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tours (id INT, name TEXT, location TEXT, type TEXT, date DATE); INSERT INTO tours (id, name, location, type, date) VALUES (1, 'Virtual Tour 1', 'Mount Fuji', 'Virtual', '2022-01-01'), (2, 'Virtual Tour 2', 'Todaiji Temple', 'Virtual', '2022-01-10'); | How many virtual tours have been taken in Japan's cultural heritage sites in the last month? | SELECT COUNT(*) FROM tours WHERE location IN (SELECT name FROM cultural_heritage WHERE country = 'Japan') AND type = 'Virtual' AND date >= DATEADD(day, -30, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE coaches (coach_id INT PRIMARY KEY, coach_name VARCHAR(50), team VARCHAR(30)); INSERT INTO coaches (coach_id, coach_name, team) VALUES (1, 'Nick Nurse', 'Toronto Raptors'); | What are the details of the coach for the Toronto Raptors? | SELECT * FROM coaches WHERE team = 'Toronto Raptors'; | gretelai_synthetic_text_to_sql |
CREATE TABLE social_enterprises_education (id INT, name TEXT, sector TEXT, investment FLOAT); INSERT INTO social_enterprises_education (id, name, sector, investment) VALUES (1, 'Education Equity Foundation', 'Education', 250000.0), (2, 'Literacy Improvement Program', 'Education', 175000.0); | What is the average investment in social enterprises in the Education sector? | SELECT AVG(investment) FROM social_enterprises_education WHERE sector = 'Education'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PolicyAdvocacy (PolicyAdvocacyID INT, Organization VARCHAR(255), AdvocacyDate DATE, AdvocacyType VARCHAR(255)); INSERT INTO PolicyAdvocacy (PolicyAdvocacyID, Organization, AdvocacyDate, AdvocacyType) VALUES (1, 'National Alliance on Mental Illness', '2020-01-01', 'Lobbying'), (2, 'Autistic Self Advocacy Ne... | What is the policy advocacy history for a specific organization? | SELECT Organization, AdvocacyType, AdvocacyDate FROM PolicyAdvocacy WHERE Organization = 'National Alliance on Mental Illness'; | gretelai_synthetic_text_to_sql |
CREATE TABLE project_year (id INT, year INT, status TEXT); INSERT INTO project_year (id, year, status) VALUES (1, 2021, 'completed'), (2, 2022, 'in_progress'); | How many renewable energy projects have been completed in 2021? | SELECT COUNT(*) FROM project_year WHERE year = 2021 AND status = 'completed'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (user_id INT, num_posts INT); INSERT INTO users (user_id, num_posts) VALUES (1, 15), (2, 8), (3, 22), (4, 3); | What is the average number of posts per user in the 'social_media' database, excluding users with less than 10 posts? | SELECT AVG(num_posts) FROM users WHERE num_posts >= 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryEquipment (EquipmentID INT, EquipmentName VARCHAR(100), QuantitySold INT, CustomerID INT);CREATE TABLE Customers (CustomerID INT, CustomerName VARCHAR(100), Country VARCHAR(50)); | List the military equipment that was sold to both the US and Canadian governments. | SELECT EquipmentName FROM MilitaryEquipment ME JOIN Customers C ON ME.CustomerID = C.CustomerID WHERE C.Country IN ('United States', 'Canada') GROUP BY EquipmentName HAVING COUNT(DISTINCT C.Country) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (hotel_id INT, name TEXT, city TEXT, country TEXT, rating FLOAT, eco_friendly BOOLEAN); | What is the average rating of 'eco-friendly' hotels worldwide? | SELECT AVG(rating) FROM hotels WHERE eco_friendly = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_equipment_sales (company VARCHAR(255), region VARCHAR(255), year INT, cost INT); INSERT INTO military_equipment_sales (company, region, year, cost) VALUES ('Lockheed Martin', 'Americas', 2019, 1500000); | What was the minimum cost of military equipment sold by Lockheed Martin to the Americas in 2019? | SELECT MIN(cost) FROM military_equipment_sales WHERE company = 'Lockheed Martin' AND region = 'Americas' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE albums (id INT, title VARCHAR(100), release_date DATE); CREATE TABLE streams (id INT, album_id INT, stream_date DATE, streams INT); CREATE VIEW pop_album_streams AS SELECT album_id FROM streams INNER JOIN albums ON streams.album_id = albums.id WHERE genre = 'Pop'; CREATE VIEW album_daily_streams AS SELECT ... | What is the average number of streams per day for each album in the Pop genre? | SELECT album_id, AVG(daily_streams) as avg_daily_streams FROM album_daily_streams INNER JOIN pop_album_streams ON album_daily_streams.album_id = pop_album_streams.album_id GROUP BY album_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (restaurant_id INT, name VARCHAR(255)); CREATE TABLE revenues (revenue_id INT, restaurant_id INT, revenue DECIMAL(5,2), date DATE, meal_time VARCHAR(255)); | What is the total revenue for Restaurant W's 'Lunch Menu'? | SELECT SUM(revenue) as lunch_revenue FROM revenues WHERE restaurant_id = (SELECT restaurant_id FROM restaurants WHERE name = 'Restaurant W') AND meal_time = 'Lunch'; | gretelai_synthetic_text_to_sql |
CREATE TABLE HeritageSites (SiteName VARCHAR(255), Country VARCHAR(255), YearAdded INT); INSERT INTO HeritageSites (SiteName, Country, YearAdded) VALUES ('City of Cuzco', 'Peru', 1983), ('Historic Quarter of the City of Colonia del Sacramento', 'Uruguay', 1995), ('Iguazu National Park', 'Argentina', 1984), ('Los Glacia... | What is the name of the heritage site added in 1985, and the name of the one added in 2001, in South America? | SELECT SiteName FROM HeritageSites WHERE Country = 'South America' AND YearAdded IN (1985, 2001); | gretelai_synthetic_text_to_sql |
CREATE TABLE Products (id INT, name VARCHAR(50), category VARCHAR(50), price DECIMAL(5,2), cruelty_free BOOLEAN); INSERT INTO Products (id, name, category, price, cruelty_free) VALUES (1, 'Hydrating Cleanser', 'Skin Care', 12.99, true), (2, 'Vitamin C Serum', 'Skin Care', 39.99, false), (3, 'Tinted Moisturizer', 'Makeu... | What is the total price of cruelty-free skin care products? | SELECT SUM(p.price) as total_price FROM Products p WHERE p.category = 'Skin Care' AND p.cruelty_free = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE healthcare_providers (provider_id INT, provider_name TEXT, state TEXT); | Insert new records for healthcare providers in Wyoming. | INSERT INTO healthcare_providers (provider_id, provider_name, state) VALUES (101, 'Dr. A. Martinez', 'Wyoming'), (102, 'Dr. L. Nguyen', 'Wyoming'), (103, 'Dr. M. Patel', 'Wyoming'); | gretelai_synthetic_text_to_sql |
CREATE TABLE forests (id INT, biome VARCHAR(50), area FLOAT, year INT); INSERT INTO forests (id, biome, area, year) VALUES (1, 'deciduous', 6000.0, 2022); | Find the total area of 'deciduous' forests in '2022'. | SELECT SUM(area) FROM forests WHERE biome = 'deciduous' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sales (Brand VARCHAR(50), Sales_Date DATE, Revenue DECIMAL(10,2)); INSERT INTO Sales (Brand, Sales_Date, Revenue) VALUES ('BrandA', '2022-01-01', 5000), ('BrandA', '2022-02-01', 6000), ('BrandA', '2022-03-01', 7000), ('BrandB', '2022-01-01', 4000), ('BrandB', '2022-02-01', 5000), ('BrandB', '2022-03-01', 6... | What is the total revenue for each brand in the last quarter? | SELECT Brand, SUM(Revenue) FROM Sales WHERE Sales_Date >= DATEADD(quarter, -1, GETDATE()) GROUP BY Brand; | gretelai_synthetic_text_to_sql |
CREATE TABLE DefenseProjectTimelines (id INT PRIMARY KEY, project_name VARCHAR(50), negotiation_start_date DATE, negotiation_end_date DATE, country VARCHAR(50)); INSERT INTO DefenseProjectTimelines (id, project_name, negotiation_start_date, negotiation_end_date, country) VALUES (1, 'S-400 Missile Defense System', '2016... | What is the average duration of defense project negotiations with Russia? | SELECT AVG(DATEDIFF(negotiation_end_date, negotiation_start_date)) FROM DefenseProjectTimelines WHERE country = 'Russia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE faculty (id INT, name VARCHAR(100), department VARCHAR(50), gender VARCHAR(50), race VARCHAR(50)); INSERT INTO faculty VALUES (1, 'Jane Smith', 'Computer Science', 'Female', 'African American'); CREATE TABLE grants (id INT, faculty_id INT, amount DECIMAL(10,2)); INSERT INTO grants VALUES (1, 1, 50000); | What percentage of research grants are awarded to underrepresented minority faculty members? | SELECT 100.0 * SUM(CASE WHEN faculty.race IN ('African American', 'Hispanic', 'Native American') THEN grants.amount ELSE 0 END) / SUM(grants.amount) AS percentage FROM grants JOIN faculty ON grants.faculty_id = faculty.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT); CREATE TABLE Donations (DonationID INT, DonorID INT, ProgramID INT); INSERT INTO Donors (DonorID, DonorName) VALUES (1, 'Greenpeace'), (2, 'World Food Program'); INSERT INTO Donations (DonationID, DonorID, ProgramID) VALUES (1, 1, 1), (2, 1, 2), (3, 2, 2), (4, 2, 3); C... | Find donors who have donated to both the Food Security and Climate Change programs? | SELECT DonorID FROM Donations d JOIN Programs p ON d.ProgramID = p.ProgramID WHERE p.ProgramName IN ('Food Security', 'Climate Change') GROUP BY DonorID HAVING COUNT(DISTINCT p.ProgramName) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE language_preservation (id INT, language VARCHAR(255), region VARCHAR(255), status VARCHAR(255)); INSERT INTO language_preservation (id, language, region, status) VALUES (1, 'Māori', 'Asia-Pacific', 'Vulnerable'), (2, 'Hawaiian', 'Asia-Pacific', 'Definitely endangered'); | What is the preservation status of indigenous languages in the 'language_preservation' schema in the Asia-Pacific region? | SELECT language, status FROM language_preservation.language_preservation WHERE region = 'Asia-Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name VARCHAR(50), founder_country VARCHAR(30)); | Count the number of startups founded by people from each country | SELECT founder_country, COUNT(*) FROM startups GROUP BY founder_country; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, supplier_name VARCHAR(255), country VARCHAR(255), sourcing VARCHAR(255)); CREATE TABLE product_suppliers (product_id INT, supplier_id INT, price DECIMAL(5,2)); | What is the minimum price of products sourced from 'Local' suppliers in the 'suppliers' table? | SELECT MIN(price) FROM product_suppliers INNER JOIN suppliers ON product_suppliers.supplier_id = suppliers.supplier_id WHERE suppliers.sourcing = 'Local'; | gretelai_synthetic_text_to_sql |
CREATE TABLE heart_rate (id INT, member_id INT, activity_type VARCHAR(50), heart_rate INT); INSERT INTO heart_rate (id, member_id, activity_type, heart_rate) VALUES (1, 1, 'cardio', 160), (2, 1, 'yoga', 140), (3, 2, 'cardio', 180), (4, 2, 'yoga', 150), (5, 3, 'cardio', 170), (6, 3, 'yoga', 130); | What is the maximum heart rate recorded for each member during 'cardio' workouts?' | SELECT member_id, MAX(heart_rate) AS max_heart_rate FROM heart_rate WHERE activity_type = 'cardio' GROUP BY member_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE org_sector_2 (id INT, org VARCHAR(100), sector VARCHAR(50), ESG_score FLOAT); INSERT INTO org_sector_2 (id, org, sector, ESG_score) VALUES (1, 'Walmart', 'Consumer Discretionary', 55.0), (2, 'Target', 'Consumer Discretionary', 57.5), (3, 'Ford', 'Consumer Discretionary', 58.5), (4, 'BASF', 'Industrials', 5... | Identify the number of organizations in each sector that have ESG scores below 60. | SELECT sector, COUNT(*) as num_orgs FROM org_sector_2 WHERE ESG_score < 60 GROUP BY sector; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, name VARCHAR(255)); CREATE TABLE transactions (transaction_id INT, customer_id INT, payment_method VARCHAR(50), transaction_date DATE, amount DECIMAL(10,2)); | List all customers who have made transactions exclusively with credit cards in the past month, along with their last transaction date and total transaction count? | SELECT c.customer_id, c.name, MAX(t.transaction_date) as last_transaction_date, COUNT(t.transaction_id) as total_transaction_count FROM customers c INNER JOIN transactions t ON c.customer_id = t.customer_id WHERE t.payment_method = 'credit card' AND t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP B... | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity (patient_id INT, race VARCHAR(25), parity_score INT); INSERT INTO mental_health_parity (patient_id, race, parity_score) VALUES (1, 'Hispanic', 80), (2, 'African American', 85), (3, 'Asian', 90), (4, 'Caucasian', 95), (5, 'Native American', 100); | What is the average mental health parity score for patients of different races? | SELECT race, AVG(parity_score) as avg_score FROM mental_health_parity GROUP BY race; | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies (id INT, name TEXT, industry TEXT, founders TEXT, diversity TEXT); INSERT INTO Companies (id, name, industry, founders, diversity) VALUES (1, 'ShopEasy', 'Retail', 'Diverse Team', 0.00); INSERT INTO Companies (id, name, industry, founders, diversity) VALUES (2, 'TechBoost', 'Technology', 'Non-Div... | How many companies were founded by people from underrepresented communities in the retail sector? | SELECT COUNT(*) FROM Companies WHERE industry = 'Retail' AND diversity = 'Diverse Team'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtSales (id INT, title VARCHAR(255), type VARCHAR(255), price DECIMAL(10,2), sale_year INT); INSERT INTO ArtSales (id, title, type, price, sale_year) VALUES (1, 'Sculpture1', 'Sculpture', 20000, 1982); | What is the maximum price of sculptures sold between 1980 and 1995? | SELECT MAX(price) FROM ArtSales WHERE type = 'Sculpture' AND sale_year BETWEEN 1980 AND 1995; | gretelai_synthetic_text_to_sql |
CREATE TABLE Brands (brand_id INT, brand_name TEXT, country TEXT); CREATE TABLE Items (item_id INT, brand_id INT, is_size_inclusive BOOLEAN); CREATE TABLE Sizes (size_id INT, size_name TEXT); | Find the intersection of size-inclusive items between brands in Canada and the UK. | SELECT i.item_id FROM Items i JOIN Brands b1 ON i.brand_id = b1.brand_id JOIN Brands b2 ON i.brand_id = b2.brand_id WHERE b1.country = 'Canada' AND b2.country = 'UK' AND i.is_size_inclusive = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Projects (id INT, division VARCHAR(10)); INSERT INTO Projects (id, division) VALUES (1, 'water'), (2, 'transport'), (3, 'energy'); CREATE TABLE TransportProjects (id INT, project_id INT, length DECIMAL(10,2)); INSERT INTO TransportProjects (id, project_id, length) VALUES (1, 2, 500), (2, 2, 550), (3, 3, 60... | What is the total length of bridges in the transport division? | SELECT SUM(t.length) FROM TransportProjects t JOIN Projects p ON t.project_id = p.id WHERE p.division = 'transport'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (RestaurantID int, Name varchar(50), Location varchar(50)); CREATE TABLE Inspections (InspectionID int, RestaurantID int, InspectionDate date, ViolationCount int); | How many food safety inspections were conducted for each restaurant in the state of Florida in the month of June 2021?' | SELECT R.Name, COUNT(I.InspectionID) as InspectionCount FROM Restaurants R JOIN Inspections I ON R.RestaurantID = I.RestaurantID WHERE R.Location LIKE '%Florida%' AND I.InspectionDate >= '2021-06-01' AND I.InspectionDate <= '2021-06-30' GROUP BY R.Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE crimes (crime_id INT, crime_type VARCHAR(255), crime_date DATE); INSERT INTO crimes VALUES (1, 'Theft', '2019-01-01'), (2, 'Vandalism', '2019-02-01'); | What is the total crime count for each type of crime in 2019? | SELECT crime_type, COUNT(*) as total_crimes FROM crimes WHERE EXTRACT(YEAR FROM crime_date) = 2019 GROUP BY crime_type | gretelai_synthetic_text_to_sql |
CREATE TABLE languages (id INT, name VARCHAR(255), region VARCHAR(255), endangered BOOLEAN); INSERT INTO languages (id, name, region, endangered) VALUES (1, 'Mandarin', 'Asia-Pacific', FALSE); INSERT INTO languages (id, name, region, endangered) VALUES (2, 'Maori', 'Asia-Pacific', TRUE); | What is the total number of endangered languages in the Asia-Pacific region? | SELECT COUNT(*) FROM languages WHERE region = 'Asia-Pacific' AND endangered = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT); CREATE TABLE Donations (DonationID INT, DonorID INT, DonationDate DATE, DonationAmount DECIMAL(10,2)); | What is the average donation amount for each donor, sorted by the average donation amount in descending order? | SELECT D.DonorName, AVG(D.DonationAmount) as AvgDonation FROM Donations D JOIN Donors DON ON D.DonorID = DON.DonorID GROUP BY D.DonorName ORDER BY AvgDonation DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, name VARCHAR(100), division VARCHAR(50), salary FLOAT); INSERT INTO employees (id, name, division, salary) VALUES (1, 'John Doe', 'manufacturing', 60000.00), (2, 'Jane Smith', 'marketing', 70000.00); | What is the 'salary' of the 'employee' with 'employee_id' 2? | SELECT salary FROM employees WHERE id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer_program (id INT, name VARCHAR(50), age INT, location VARCHAR(30)); INSERT INTO volunteer_program (id, name, age, location) VALUES (1, 'John Doe', 25, 'New York'), (2, 'Jane Smith', 32, 'California'), (3, 'Alice Johnson', 22, 'Texas'); | What is the maximum age of a volunteer in the 'volunteer_program' table? | SELECT MAX(age) FROM volunteer_program; | gretelai_synthetic_text_to_sql |
CREATE TABLE MediterraneanSea (depth_name TEXT, depth FLOAT); INSERT INTO MediterraneanSea (depth_name, depth) VALUES ('Max Depth', 5267.0), ('Average Depth', 1500.0); | What is the maximum depth of the Mediterranean Sea? | SELECT depth FROM MediterraneanSea WHERE depth_name = 'Max Depth'; | gretelai_synthetic_text_to_sql |
CREATE TABLE state (name VARCHAR(50), renewable_energy_consumption DECIMAL(5,2), country VARCHAR(50)); INSERT INTO state (name, renewable_energy_consumption, country) VALUES ('California', 34.2, 'United States'), ('Texas', 29.5, 'United States'), ('New York', 26.1, 'United States'); | Identify the top 3 states with the highest renewable energy consumption in the United States. | SELECT name, renewable_energy_consumption FROM (SELECT name, renewable_energy_consumption, RANK() OVER (ORDER BY renewable_energy_consumption DESC) AS rank FROM state WHERE country = 'United States') AS subquery WHERE rank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_adoption_history (hotel_id INT, hotel_name VARCHAR(255), adopted_date DATE, ai_adopted INT); | How many hotels in EMEA adopted AI in the last 3 years? | SELECT COUNT(DISTINCT hotel_id) FROM ai_adoption_history WHERE region = 'EMEA' AND adopted_date >= DATEADD(year, -3, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE patient (id INT PRIMARY KEY, name VARCHAR(100), age INT, gender VARCHAR(10), race VARCHAR(50)); INSERT INTO patient (id, name, age, gender, race) VALUES (1, 'John Doe', 45, 'Male', 'Caucasian'); INSERT INTO patient (id, name, age, gender, race) VALUES (2, 'Jane Smith', 34, 'Female', 'African American'); IN... | Show the list of patients who are of Asian or Pacific Islander race and diagnosed with Anxiety. | SELECT p.id, p.name FROM patient p JOIN mental_health_parity mhp ON p.id = mhp.patient_id WHERE p.race IN ('Asian', 'Pacific Islander') AND mhp.diagnosis = 'Anxiety'; | gretelai_synthetic_text_to_sql |
CREATE TABLE StateCapacity (state CHAR(2), capacity FLOAT);CREATE TABLE PowerPlants (id INT, state CHAR(2), capacity FLOAT, fuel VARCHAR(10)); | Identify the top 5 states with the highest renewable energy capacity from the StateCapacity and PowerPlants tables | SELECT s.state, SUM(p.capacity) as total_capacity FROM StateCapacity s INNER JOIN PowerPlants p ON s.state = p.state GROUP BY s.state ORDER BY total_capacity DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE MedicalExaminations (ExaminationID INT, AstronautID INT, ExaminationType VARCHAR(50), ExaminationDate DATE); CREATE TABLE Astronauts (AstronautID INT, Name VARCHAR(50), CountryOfOrigin VARCHAR(50)); INSERT INTO Astronauts (AstronautID, Name, CountryOfOrigin) VALUES (1, 'Rakesh Patel', 'India'); INSERT INTO... | How many medical examinations have been conducted for astronauts from India? | SELECT COUNT(*) FROM MedicalExaminations INNER JOIN Astronauts ON MedicalExaminations.AstronautID = Astronauts.AstronautID WHERE CountryOfOrigin = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE graduate_programs (id INT, program VARCHAR(255), field VARCHAR(255)); INSERT INTO graduate_programs (id, program, field) VALUES (1, 'Program A', 'medicine'), (2, 'Program B', 'engineering'), (3, 'Program C', 'medicine'); CREATE TABLE published_papers (id INT, program_id INT, title VARCHAR(255), year INT); ... | List the top 3 graduate programs with the most published papers in the field of "medicine" in descending order | SELECT gp.program, COUNT(pp.id) AS paper_count FROM graduate_programs gp INNER JOIN published_papers pp ON gp.id = pp.program_id WHERE gp.field = 'medicine' GROUP BY gp.program ORDER BY paper_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists companies (company_id INT, sector VARCHAR(50), esg_score DECIMAL(3,2), quarter INT, year INT); INSERT INTO companies (company_id, sector, esg_score, quarter, year) VALUES (1, 'Healthcare', 8.5, 1, 2021), (2, 'Healthcare', 7.9, 1, 2021), (3, 'Healthcare', 8.8, 1, 2021); | What is the average ESG score for companies in the healthcare sector in Q1 2021? | SELECT AVG(esg_score) FROM companies WHERE sector = 'Healthcare' AND quarter = 1 AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemical_production (id INT PRIMARY KEY, chemical_id VARCHAR(10), quantity INT, country VARCHAR(50)); INSERT INTO chemical_production (id, chemical_id, quantity, country) VALUES (1, 'C123', 500, 'Germany'), (2, 'C456', 300, 'Canada'), (3, 'C123', 100, 'Germany'); | List all the unique chemical_ids with a production quantity greater than 200 in Germany | SELECT DISTINCT chemical_id FROM chemical_production WHERE quantity > 200 AND country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_districts (cd_number INT, community_name VARCHAR(255)); INSERT INTO community_districts (cd_number, community_name) VALUES (1, 'Chinatown'), (2, 'Lower East Side'), (3, 'East Village'); CREATE TABLE emergency_calls (call_date DATE, cd_number INT, call_count INT); | What was the total number of emergency calls received in each community district in the past week? | SELECT cd.community_name, SUM(ec.call_count) as total_calls FROM community_districts cd JOIN emergency_calls ec ON cd.cd_number = ec.cd_number WHERE ec.call_date >= CURDATE() - INTERVAL 1 WEEK GROUP BY cd.community_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name TEXT, is_cruelty_free BOOLEAN, sales INT, country TEXT); INSERT INTO products (product_id, product_name, is_cruelty_free, sales, country) VALUES (1, 'Lipstick', true, 550, 'UK'), (2, 'Foundation', false, 600, 'UK'), (3, 'Mascara', true, 700, 'UK'); | Which cruelty-free cosmetic products have the highest sales in the UK? | SELECT product_name, SUM(sales) as total_sales FROM products WHERE is_cruelty_free = true AND country = 'UK' GROUP BY product_name ORDER BY total_sales DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Tickets (ticket_id INT, event_id INT, quantity INT); INSERT INTO Tickets (ticket_id, event_id, quantity) VALUES (1, 3, 200), (2, 4, 150); | How many more tickets were sold for 'Theater Performance' compared to 'Dance Recital'? | SELECT (SELECT quantity FROM Tickets WHERE event_id = 3) - (SELECT quantity FROM Tickets WHERE event_id = 4); | gretelai_synthetic_text_to_sql |
CREATE TABLE EcoFriendlyItems (id INT, item VARCHAR(255), country VARCHAR(255), price DECIMAL(5,2)); INSERT INTO EcoFriendlyItems (id, item, country, price) VALUES (1, 'Hemp T-Shirt', 'India', 25.00), (2, 'Recycled Plastic Bag', 'India', 10.00), (3, 'Sustainable Silk Saree', 'India', 75.00); | What is the average price of eco-friendly fashion items in India? | SELECT AVG(price) FROM EcoFriendlyItems WHERE country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (user_id INT, name VARCHAR(255), region VARCHAR(255), followers INT); INSERT INTO users (user_id, name, region, followers) VALUES (1, 'Jun', 'Asia', 1500); | How many users who live in 'Asia' have a follower count greater than 1000? | SELECT COUNT(*) FROM users WHERE region = 'Asia' AND followers > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE delivery (route VARCHAR(20), delivery_time INT); INSERT INTO delivery (route, delivery_time) VALUES ('Route1', 30), ('Route2', 40), ('Route3', 50); | What is the minimum delivery time for each route in the delivery database? | SELECT route, MIN(delivery_time) FROM delivery GROUP BY route; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtClasses (ID INT, ClassName VARCHAR(255), ClassType VARCHAR(255), StartDate DATE, EndDate DATE, AgeGroup VARCHAR(255)); | What is the total number of art classes and workshops held in the last 2 years, categorized by age group? | SELECT AgeGroup, COUNT(*) as TotalClasses FROM ArtClasses WHERE StartDate >= DATEADD(year, -2, GETDATE()) GROUP BY AgeGroup; | gretelai_synthetic_text_to_sql |
CREATE TABLE DispensarySalesData2 (DispensaryName VARCHAR(50), State VARCHAR(20), QuantitySold INT); INSERT INTO DispensarySalesData2 (DispensaryName, State, QuantitySold) VALUES ('Green Earth Dispensary', 'Colorado', 400), ('Buds and Beyond', 'Colorado', 500), ('The Healing Center', 'Colorado', 600), ('Elevated Roots'... | What is the total quantity of cannabis products sold by each dispensary in the state of Colorado? | SELECT DispensaryName, SUM(QuantitySold) FROM DispensarySalesData2 WHERE State = 'Colorado' GROUP BY DispensaryName; | gretelai_synthetic_text_to_sql |
CREATE TABLE borough (borough_id INT, name VARCHAR(255)); INSERT INTO borough (borough_id, name) VALUES (1, 'Manhattan'), (2, 'Brooklyn'), (3, 'Queens'), (4, 'Bronx'), (5, 'Staten Island'); CREATE TABLE property (property_id INT, price INT, borough_id INT); INSERT INTO property (property_id, price, borough_id) VALUES (... | What is the maximum and minimum property price in each borough? | SELECT b.name, MAX(p.price) as max_price, MIN(p.price) as min_price FROM property p INNER JOIN borough b ON p.borough_id = b.borough_id GROUP BY b.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cost (id INT, cost INT, issue_date DATE); | Show total construction cost for each quarter in 2021 | SELECT DATE_FORMAT(issue_date, '%Y-%m') AS quarter, SUM(cost) AS total_cost FROM Cost WHERE YEAR(issue_date) = 2021 GROUP BY quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE Job_Training (state_id INT, num_programs INT); INSERT INTO Job_Training (state_id, num_programs) VALUES (1, 15), (2, 20), (3, 12), (4, 18), (5, 10); CREATE TABLE States (id INT, name VARCHAR(50)); INSERT INTO States (id, name) VALUES (1, 'California'), (2, 'Texas'), (3, 'New York'), (4, 'Florida'), (5, 'Il... | What is the total number of job training programs offered in each state? | SELECT S.name, SUM(JT.num_programs) as Total_Programs FROM Job_Training JT JOIN States S ON JT.state_id = S.id GROUP BY S.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Stores (StoreID INT, StoreName VARCHAR(50), City VARCHAR(50), Country VARCHAR(50)); INSERT INTO Stores (StoreID, StoreName, City, Country) VALUES (1, 'Flagship Store', 'New York', 'USA'), (2, 'Downtown Store', 'Los Angeles', 'USA'), (3, 'Harajuku Store', 'Tokyo', 'Japan'); CREATE TABLE Sales (SaleID INT, S... | What is the total quantity of garments sold by each store, sorted by the greatest total quantity? | SELECT StoreID, SUM(QuantitySold) AS TotalQuantitySold FROM Sales GROUP BY StoreID ORDER BY TotalQuantitySold DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE species (id INT, name VARCHAR(255), habitat VARCHAR(255), depth FLOAT); INSERT INTO species (id, name, habitat, depth) VALUES (1, 'Clownfish', 'Coral Reef', 20.0); INSERT INTO species (id, name, habitat, depth) VALUES (2, 'Blue Whale', 'Open Ocean', 2000.0); INSERT INTO species (id, name, habitat, depth) V... | What is the minimum depth a marine species can live at? | SELECT MIN(depth) FROM species; | gretelai_synthetic_text_to_sql |
CREATE TABLE high_impact_journals (id INT, journal VARCHAR(50)); INSERT INTO high_impact_journals VALUES (1, 'Nature'); INSERT INTO high_impact_journals VALUES (2, 'Science'); CREATE TABLE faculty_publications (id INT, faculty_id INT, journal_id INT); INSERT INTO faculty_publications VALUES (1, 1, 1); INSERT INTO facul... | What is the total amount of research grants awarded to faculty members who have published in high-impact journals? | SELECT SUM(grants.amount) FROM grants JOIN faculty_publications ON grants.faculty_id = faculty_publications.faculty_id JOIN high_impact_journals ON faculty_publications.journal_id = high_impact_journals.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT PRIMARY KEY, name TEXT, location TEXT, age INT, crop TEXT); INSERT INTO farmers (id, name, location, age, crop) VALUES (1, 'Jane Doe', 'Rural', 45, 'Corn'); | Find the average age of farmers by crop type. | SELECT crop, AVG(age) FROM farmers GROUP BY crop; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, account_number INT); CREATE TABLE account_balances (balance_id INT, customer_id INT, balance_date DATE, balance DECIMAL(10,2)); INSERT INTO customers (customer_id, account_number) VALUES (1, 123456), (2, 234567), (3, 345678); INSERT INTO account_balances (balance_id, customer_id... | What is the moving average of a customer's account balance for the past 3 months? | SELECT customer_id, AVG(balance) OVER (PARTITION BY customer_id ORDER BY balance_date ROWS BETWEEN 89 PRECEDING AND CURRENT ROW) AS moving_avg FROM account_balances WHERE customer_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Humanitarian_Assistance (Country VARCHAR(100), Quarter INT, Year INT); | What are the names of countries that received humanitarian assistance in Q1 and Q3 of 2022? | SELECT Country FROM Humanitarian_Assistance WHERE Year = 2022 AND Quarter IN (1, 3) GROUP BY Country HAVING COUNT(DISTINCT Quarter) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, Region VARCHAR(50)); INSERT INTO Donors (DonorID, Region) VALUES (1, 'Africa'), (2, 'Asia'), (3, 'Europe'), (4, 'South America'), (5, 'North America'); | How can we delete donors from a specific region? | DELETE FROM Donors WHERE Region = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouse (id INT, location VARCHAR(255), capacity INT); INSERT INTO Warehouse (id, location, capacity) VALUES (1, 'New York', 500), (2, 'Toronto', 700), (3, 'Montreal', 600); CREATE TABLE Shipment (id INT, warehouse_id INT, delivery_time INT); INSERT INTO Shipment (id, warehouse_id, delivery_time) VALUES ... | Find the number of shipments and total delivery time for each warehouse, ordered by the average delivery time? | SELECT warehouse_id, COUNT(*) as num_shipments, AVG(delivery_time) as avg_delivery_time, RANK() OVER (ORDER BY AVG(delivery_time) DESC) as rank FROM Shipment GROUP BY warehouse_id HAVING rank <= 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE VESSEL_TRAVEL (id INT, vessel_name VARCHAR(50), destination VARCHAR(50)); CREATE VIEW mediterranean_sea AS SELECT 'Mediterranean Sea'; | Display vessels that have never traveled to the Mediterranean Sea | SELECT vessel_name FROM VESSEL_TRAVEL WHERE vessel_name NOT IN (SELECT vessel_name FROM VESSEL_TRAVEL WHERE destination IN (SELECT * FROM mediterranean_sea)) GROUP BY vessel_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE accessible_tech_africa(id INT, initiative VARCHAR(50), country VARCHAR(10)); INSERT INTO accessible_tech_africa VALUES (1, 'Tech for Africa', 'Kenya'); CREATE TABLE accessible_tech_asia(id INT, initiative VARCHAR(50), country VARCHAR(10)); INSERT INTO accessible_tech_asia VALUES (1, 'Tech for India', 'Indi... | List the top 3 countries with the most accessible technology initiatives, by continent. | SELECT country, COUNT(initiative) AS num_initiatives FROM accessible_tech_africa GROUP BY country UNION ALL SELECT country, COUNT(initiative) AS num_initiatives FROM accessible_tech_asia GROUP BY country UNION ALL SELECT country, COUNT(initiative) AS num_initiatives FROM accessible_tech_europe GROUP BY country ORDER BY... | gretelai_synthetic_text_to_sql |
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