context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE Maintenance_Requests (id INT, region VARCHAR(50), status VARCHAR(50), maintenance_count INT); | How many military equipment maintenance requests are pending in the Asia-Pacific region? | SELECT region, SUM(maintenance_count) FROM Maintenance_Requests WHERE region = 'Asia-Pacific' AND status = 'pending' GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE transportation (id INT, project_name VARCHAR(50), location VARCHAR(50), cost FLOAT); INSERT INTO transportation (id, project_name, location, cost) VALUES (1, 'Bridge', 'Los Angeles', 3000000); INSERT INTO transportation (id, project_name, location, cost) VALUES (2, 'Highway', 'Chicago', 12000000); | What is the average cost of projects in the 'transportation' table? | SELECT AVG(cost) FROM transportation; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft (id INT, name VARCHAR(255), launch_date DATE, mass FLOAT); | What is the total mass (in kilograms) of all spacecraft that have been launched since 2010? | SELECT SUM(mass) FROM spacecraft WHERE launch_date >= '2010-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, name VARCHAR(255), email VARCHAR(255), phone VARCHAR(20));CREATE TABLE materials (material_id INT, name VARCHAR(255), supplier_id INT, quantity_supplied INT);CREATE TABLE dates (date DATE);INSERT INTO suppliers (supplier_id, name, email, phone) VALUES (1, 'Green Supplies', 'info... | Provide a list of all suppliers that have not provided any materials in the last 12 months. | SELECT suppliers.name, suppliers.email, suppliers.phone FROM suppliers LEFT JOIN materials ON suppliers.supplier_id = materials.supplier_id JOIN dates ON dates.date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH) GROUP BY suppliers.name, suppliers.email, suppliers.phone HAVING COUNT(materials.material_id) = 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_initiatives (id INT, country VARCHAR(50), initiative VARCHAR(50), expenditure DECIMAL(10,2)); INSERT INTO community_initiatives (id, country, initiative, expenditure) VALUES (1, 'India', 'Healthcare Center', 150000.00), (2, 'India', 'Education Building', 200000.00), (3, 'India', 'Community Hall',... | List the top 3 community development initiatives in India by expenditure. | SELECT initiative, SUM(expenditure) AS total_expenditure FROM community_initiatives WHERE country = 'India' GROUP BY initiative ORDER BY total_expenditure DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE employee_demographics (id INT, employee_id INT, department_id INT, gender VARCHAR(10)); INSERT INTO employee_demographics (id, employee_id, department_id, gender) VALUES (1, 1, 1, 'Female'), (2, 2, 1, 'Male'), (3, 3, 2, 'Female'), (4, 4, 2, 'Non-binary'), (5, 5, 3, 'Male'); | What is the percentage of female and male employees by department? | SELECT department_id, gender, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM employee_demographics WHERE department_id = departments.id) as percentage FROM employee_demographics JOIN departments ON employee_demographics.department_id = departments.id GROUP BY department_id, gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultivators (cultivator_id INT, name TEXT, state TEXT); INSERT INTO cultivators (cultivator_id, name, state) VALUES (1, 'Cultivator A', 'Nevada'), (2, 'Cultivator B', 'Nevada'), (3, 'Cultivator C', 'California'); CREATE TABLE harvests (harvest_id INT, cultivator_id INT, flower_weight INT); INSERT INTO harv... | What is the total weight of cannabis flowers produced by each cultivator in Nevada, ordered by weight from highest to lowest? | SELECT c.name, SUM(h.flower_weight) AS total_weight FROM cultivators c JOIN harvests h ON c.cultivator_id = h.cultivator_id WHERE c.state = 'Nevada' GROUP BY c.name ORDER BY total_weight DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sales (SaleID INT, VendorID INT, QuantitySold INT, IsEcoFriendly INT, SaleDate DATE); INSERT INTO Sales VALUES (1, 1, 50, 1, '2020-01-01'), (2, 1, 75, 1, '2020-01-02'), (3, 2, 100, 0, '2020-01-01'); CREATE TABLE Vendor (VendorID INT, VendorName VARCHAR(50), Location VARCHAR(50)); INSERT INTO Vendor VALUES ... | Find the average quantity of eco-friendly products sold, partitioned by quarter and vendor location, ordered by vendor name? | SELECT VendorName, TO_CHAR(SaleDate, 'YYYY-Q') AS Quarter, AVG(QuantitySold) OVER (PARTITION BY VendorID, Location, Quarter ORDER BY VendorName) AS AvgQuantity FROM Sales JOIN Vendor ON Sales.VendorID = Vendor.VendorID WHERE IsEcoFriendly = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (donor_id INT, donor_name TEXT, country TEXT, total_donation_amount FLOAT); INSERT INTO donors (donor_id, donor_name, country, total_donation_amount) VALUES (1, 'Juan Rodriguez', 'Mexico', 4000.00), (2, 'Natalia Ivanova', 'Russia', 5000.00), (3, 'Pedro Garcia', 'Brazil', 2500.00); | Delete all records of donors from Russia. | DELETE FROM donors WHERE country = 'Russia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy (id INT, country VARCHAR(255), source VARCHAR(255)); INSERT INTO renewable_energy (id, country, source) VALUES (1, 'Germany', 'wind'), (2, 'France', 'solar'), (3, 'Germany', 'solar'), (4, 'France', 'wind'), (5, 'Germany', 'hydro'), (6, 'France', 'hydro'); | How many renewable energy sources are installed in each country? | SELECT country, COUNT(DISTINCT source) as num_sources FROM renewable_energy GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE CulturalCompetency (WorkerID INT, TrainingHours INT); INSERT INTO CulturalCompetency (WorkerID, TrainingHours) VALUES (1, 20), (2, 25), (3, 30), (4, 35), (5, 40); | What is the total number of cultural competency training hours by community health worker? | SELECT WorkerID, SUM(TrainingHours) as TotalTrainingHours FROM CulturalCompetency GROUP BY WorkerID; | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_stock (id INT, species VARCHAR(255), stocking_density FLOAT, biomass FLOAT); INSERT INTO fish_stock (id, species, stocking_density, biomass) VALUES (1, 'Salmon', 50.0, 60000.0), (2, 'Salmon', 45.0, 45000.0), (3, 'Tilapia', 30.0, 30000.0), (4, 'Tilapia', 35.0, 55000.0); | What is the minimum stocking density of fish for each species in the 'fish_stock' table, where the total biomass exceeds 50000? | SELECT species, MIN(stocking_density) FROM fish_stock GROUP BY species HAVING SUM(biomass) > 50000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Workers (ID INT, Age INT, Gender VARCHAR(10), Industry VARCHAR(20)); INSERT INTO Workers (ID, Age, Gender, Industry) VALUES (1, 42, 'Female', 'Textile'), (2, 35, 'Male', 'Textile'), (3, 45, 'Female', 'Textile'), (4, 52, 'Male', 'Food Processing'), (5, 60, 'Male', 'Food Processing'); | Update the records of all workers in the 'Food Processing' industry who are male and over 40 years old, changing their industry to 'Agriculture'. | UPDATE Workers SET Industry = 'Agriculture' WHERE Industry = 'Food Processing' AND Gender = 'Male' AND Age > 40; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (donor_id INT, donor_name VARCHAR(50), total_donation_amount DECIMAL(10,2), last_donation_date DATE); CREATE TABLE Donations (donation_id INT, donor_id INT, donation_amount DECIMAL(10,2), donation_date DATE, program_id INT); | Who were the top 3 donors in terms of total donation amount to education programs in 2021? | SELECT donor_name, SUM(donation_amount) as total_donation_amount FROM Donors d JOIN Donations don ON d.donor_id = don.donor_id WHERE program_id IN (SELECT program_id FROM Programs WHERE category = 'education') AND YEAR(donation_date) = 2021 GROUP BY donor_name ORDER BY total_donation_amount DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE worker_patient_data (worker_id INT, patients_served INT); INSERT INTO worker_patient_data (worker_id, patients_served) VALUES (1, 50); INSERT INTO worker_patient_data (worker_id, patients_served) VALUES (2, 75); | What is the maximum number of patients served by a community health worker? | SELECT MAX(patients_served) FROM worker_patient_data; | gretelai_synthetic_text_to_sql |
CREATE TABLE workforce (workforce_id INT, mine_id INT, employee_name VARCHAR(50), gender VARCHAR(10)); INSERT INTO workforce (workforce_id, mine_id, employee_name, gender) VALUES (1, 1, 'John Doe', 'Male'), (2, 1, 'Jane Smith', 'Female'), (3, 2, 'Bob Johnson', 'Male'), (4, 3, 'Alice Williams', 'Female'), (5, 3, 'Charli... | How many employees of each gender work in mining operations, for operations with more than 100 employees? | SELECT mine_id, gender, COUNT(*) as employee_count FROM workforce WHERE (SELECT COUNT(*) FROM workforce w WHERE w.mine_id = workforce.mine_id) > 100 GROUP BY mine_id, gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_farms (id INT, name TEXT, country TEXT, biomass FLOAT); CREATE TABLE country_oceans (country TEXT, ocean TEXT); INSERT INTO fish_farms (id, name, country, biomass) VALUES (1, 'Farm I', 'Pacific Ocean Country', 150), (2, 'Farm J', 'Pacific Ocean Country', 180), (3, 'Farm K', 'Atlantic Ocean Country', 1... | Find the total biomass of fish in farms located in the Pacific Ocean. | SELECT SUM(biomass) FROM fish_farms FF JOIN country_oceans CO ON FF.country = CO.country WHERE CO.ocean = 'Pacific Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE infrastructure_dept_budget (city VARCHAR(50), budget INT); INSERT INTO infrastructure_dept_budget (city, budget) VALUES ('CityA', 600000), ('CityB', 400000), ('CityC', 700000); | Which cities in the 'infrastructure' department budget table have a budget over 500000? | SELECT city FROM infrastructure_dept_budget WHERE budget > 500000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cultivars (id INT, name TEXT, type TEXT);CREATE TABLE Inventory (id INT, cultivar_id INT, quantity INT, dispensary_id INT);CREATE TABLE Sales (id INT, inventory_id INT, quantity INT, sale_date DATE); INSERT INTO Cultivars (id, name, type) VALUES (1, 'Cultivar A', 'Indica'); INSERT INTO Inventory (id, culti... | What is the total quantity of each indica cultivar sold in Massachusetts in Q4 2022? | SELECT c.name, SUM(sales.quantity) as total_quantity_sold FROM Cultivars c JOIN Inventory i ON c.id = i.cultivar_id JOIN Sales sales ON i.id = sales.inventory_id WHERE c.type = 'Indica' AND i.dispensary_id IN (SELECT id FROM Dispensaries WHERE state = 'Massachusetts') AND sales.sale_date BETWEEN '2022-10-01' AND '2022-... | gretelai_synthetic_text_to_sql |
CREATE TABLE biosensor_patents (id INT, filed_date DATE); INSERT INTO biosensor_patents (id, filed_date) VALUES (1, '2021-07-01'), (2, '2021-08-15'), (3, '2021-09-30'); | Which biosensor technology patents were filed after June 30, 2021? | SELECT * FROM biosensor_patents WHERE filed_date > '2021-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (vessel_name VARCHAR(255), flag_state VARCHAR(255), registration_year INT); INSERT INTO vessels (vessel_name, flag_state, registration_year) VALUES ('FV Tropic', 'Panama', 2010), ('FV Atlantic Queen', 'Ecuador', 2012), ('FV Ocean Warrior', 'Spain', 2011); | Which countries have registered the most vessels for illegal, unreported, and unregulated fishing? | SELECT flag_state, COUNT(*) as num_vessels FROM vessels WHERE registration_year BETWEEN 2010 AND 2022 GROUP BY flag_state ORDER BY num_vessels DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE PropertySizes (PropertyID INT, Size INT, Neighborhood VARCHAR(20), Policy INT); INSERT INTO PropertySizes (PropertyID, Size, Neighborhood, Policy) VALUES (1, 1200, 'GreenTowers', 0), (2, 1500, 'SustainableVillage', 1), (3, 900, 'GreenTowers', 1); | Determine the change in average property size in 'GreenTowers' and 'SustainableVillage' neighborhoods before and after inclusive housing policies. | SELECT Neighborhood, AVG(Size) - LAG(AVG(Size)) OVER (PARTITION BY Neighborhood ORDER BY Policy) AS AvgSizeChange FROM PropertySizes GROUP BY Neighborhood, Policy ORDER BY Neighborhood, Policy; | gretelai_synthetic_text_to_sql |
CREATE TABLE AircraftMaintenance (company TEXT, maintenance_date DATE, maintenance_cost FLOAT); INSERT INTO AircraftMaintenance (company, maintenance_date, maintenance_cost) VALUES ('AeroTech Inc.', '2022-01-10', 200000), ('AeroTech Inc.', '2022-03-15', 300000), ('AeroTech Inc.', '2022-03-30', 150000); | What is the total spent on aircraft maintenance by AeroTech Inc. in Q1 2022? | SELECT SUM(maintenance_cost) FROM AircraftMaintenance WHERE company = 'AeroTech Inc.' AND maintenance_date BETWEEN '2022-01-01' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_inspections (id INT, vessel_name VARCHAR(50), type VARCHAR(50), region VARCHAR(50), date DATE); INSERT INTO safety_inspections (id, vessel_name, type, region, date) VALUES (1, 'Fishing Vessel A', 'Fishing Vessel', 'Southern Ocean', '2019-01-01'), (2, 'Fishing Vessel B', 'Fishing Vessel', 'Southern O... | How many safety inspections were conducted for fishing vessels in the Southern Ocean in the last 3 years? | SELECT type, COUNT(*) FROM safety_inspections WHERE region = 'Southern Ocean' AND date >= DATE_SUB(CURDATE(), INTERVAL 3 YEAR) AND type = 'Fishing Vessel' GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_manufacturers (manufacturer VARCHAR(50), quantity INT, sales DECIMAL(10,2), date DATE); | What is the number of garments produced by each manufacturer and their total sales in Q4 2022? | SELECT manufacturer, SUM(quantity) AS total_quantity, SUM(sales) AS total_sales FROM garment_manufacturers WHERE date >= '2022-10-01' AND date < '2023-01-01' GROUP BY manufacturer; | gretelai_synthetic_text_to_sql |
CREATE TABLE posts (id INT, user_id INT, content TEXT); | Insert a new post with content 'Hello, world!' for user with ID 789 | INSERT INTO posts (user_id, content) VALUES (789, 'Hello, world!'); | gretelai_synthetic_text_to_sql |
CREATE TABLE criminal_justice_reform (initiative_id INT, initiative_type VARCHAR(20), funding_source VARCHAR(20)); INSERT INTO criminal_justice_reform (initiative_id, initiative_type, funding_source) VALUES (1, 'Prison Reform', 'Government'), (2, 'Bail Reform', 'Non-profit'); | What is the total number of criminal justice reform initiatives by type and funding source? | SELECT initiative_type, funding_source, COUNT(*) as total_initiatives FROM criminal_justice_reform GROUP BY initiative_type, funding_source; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name TEXT, age INT); INSERT INTO donors (id, name, age) VALUES (1, 'John Doe', 35), (2, 'Jane Smith', 28); CREATE TABLE contributions (donor_id INT, initiative_type TEXT); INSERT INTO contributions (donor_id, initiative_type) VALUES (1, 'education'), (1, 'healthcare'), (2, 'education'); | What's the list of donors who have contributed to both education and healthcare initiatives? | SELECT donors.name FROM donors INNER JOIN contributions c1 ON donors.id = c1.donor_id INNER JOIN contributions c2 ON donors.id = c2.donor_id WHERE c1.initiative_type = 'education' AND c2.initiative_type = 'healthcare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE highways (id INT, name TEXT, length_km FLOAT, location TEXT, built YEAR); INSERT INTO highways (id, name, length_km, location, built) VALUES (1, 'Autobahn A9', 530.5, 'Germany', 1936); INSERT INTO highways (id, name, length_km, location, built) VALUES (2, 'I-90', 498.7, 'USA', 1956); | Update the length of Autobahn A9 to 550 km. | UPDATE highways SET length_km = 550 WHERE name = 'Autobahn A9'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID int, PlayerName varchar(50), CharacterID int, WinRate decimal(5,2)); INSERT INTO Players (PlayerID, PlayerName, CharacterID, WinRate) VALUES (1, 'John', 1, 0.55), (2, 'Emma', 1, 0.62), (3, 'Liam', 2, 0.71), (4, 'Olivia', 2, 0.68), (5, 'Noah', 3, 0.64); CREATE TABLE Characters (CharacterID... | Which players have the highest win rate in the game "AwesomeLeague" for each character? | SELECT c.CharacterName, MAX(p.WinRate) as HighestWinRate FROM Players p JOIN Characters c ON p.CharacterID = c.CharacterID GROUP BY c.CharacterName; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (product_id INT, country_name VARCHAR(20), sale_date DATE); INSERT INTO sales (product_id, country_name, sale_date) VALUES (1, 'USA', '2021-01-01'), (2, 'Canada', '2021-01-02'), (3, 'Mexico', '2021-02-01'), (4, 'Brazil', '2021-03-01'); | How many products were sold in each country in 2021? | SELECT country_name, EXTRACT(MONTH FROM sale_date) AS month, COUNT(*) FROM sales GROUP BY country_name, month; | gretelai_synthetic_text_to_sql |
CREATE TABLE EconomicImpact (id INT, name TEXT, country TEXT, initiative TEXT); INSERT INTO EconomicImpact (id, name, country, initiative) VALUES (1, 'Tokyo Green Spaces Expansion', 'Tokyo', 'Community Engagement'), (2, 'Tokyo Sustainable Business Program', 'Tokyo', 'Local Sourcing'); | Which local economic impact initiatives were implemented in Tokyo? | SELECT DISTINCT initiative FROM EconomicImpact WHERE country = 'Tokyo'; | gretelai_synthetic_text_to_sql |
CREATE TABLE City (Id INT PRIMARY KEY, Name VARCHAR(50), Population INT, Country VARCHAR(50)); INSERT INTO City (Id, Name, Population, Country) VALUES (1, 'Jakarta', 10000000, 'Indonesia'); INSERT INTO City (Id, Name, Population, Country) VALUES (2, 'Surabaya', 2800000, 'Indonesia'); INSERT INTO City (Id, Name, Populat... | What is the difference in population between the most and least populous cities in 'Indonesia' and 'Brazil'? | SELECT Country, MAX(Population) - MIN(Population) as PopulationDifference FROM City WHERE Country IN ('Indonesia', 'Brazil') GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE online_learning (id INT, user_id INT, online_date DATE, online_time INT); INSERT INTO online_learning (id, user_id, online_date, online_time) VALUES (1, 1001, '2022-01-01', 60); INSERT INTO online_learning (id, user_id, online_date, online_time) VALUES (2, 1001, '2022-01-03', 90); INSERT INTO online_learni... | What is the running total of 'online_time' for each user, for the 'online_learning' database, ordered by user_id and date? | SELECT user_id, online_date, online_time, SUM(online_time) OVER (PARTITION BY user_id ORDER BY online_date) as running_total FROM online_learning; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurant (restaurant_id INT, revenue INT); INSERT INTO restaurant (restaurant_id, revenue) VALUES (1, 5000), (2, 6000), (3, 7000), (4, 4000); | List all restaurants that have a revenue above the average revenue. | SELECT restaurant_id, revenue FROM restaurant WHERE revenue > (SELECT AVG(revenue) FROM restaurant); | gretelai_synthetic_text_to_sql |
CREATE TABLE well_production (well_id INT, measurement_date DATE, production_rate FLOAT); INSERT INTO well_production (well_id, measurement_date, production_rate) VALUES (1, '2022-01-01', 500), (1, '2022-02-01', 550), (1, '2022-03-01', 600), (2, '2022-01-01', 700), (2, '2022-02-01', 650), (2, '2022-03-01', 750), (3, '2... | What are the top 3 wells with the highest production rate in the last 3 months? | SELECT well_id, MAX(production_rate) FROM well_production WHERE measurement_date >= DATEADD(month, -3, GETDATE()) GROUP BY well_id ORDER BY MAX(production_rate) DESC LIMIT 3 | gretelai_synthetic_text_to_sql |
CREATE TABLE electric_trains (train_id INT, journey_start_time TIMESTAMP, journey_end_time TIMESTAMP, journey_distance_km DECIMAL(5,2), journey_duration_minutes INT); INSERT INTO electric_trains (train_id, journey_start_time, journey_end_time, journey_distance_km, journey_duration_minutes) VALUES (1, '2022-06-01 10:00:... | What is the average speed in km/h for electric trains in Madrid, during trips with a duration greater than 60 minutes? | SELECT AVG(journey_distance_km/journey_duration_minutes*60) FROM electric_trains WHERE journey_duration_minutes > 60; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA gov_service;CREATE TABLE gov_service.citizen_feedback (quarter INT, satisfaction_score FLOAT); INSERT INTO gov_service.citizen_feedback (quarter, satisfaction_score) VALUES (1, 8.2), (2, 8.5), (3, 8.3), (4, 8.4); | What is the average citizen satisfaction score for public service delivery in Q1 and Q2 2022? | SELECT AVG(satisfaction_score) FROM gov_service.citizen_feedback WHERE quarter IN (1, 2); | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(255), recycled_materials DECIMAL(10,2)); | What percentage of our products are made with recycled materials? | SELECT ROUND(AVG(recycled_materials) * 100, 2) as percentage FROM products; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (id INT, name VARCHAR(255), size FLOAT, region VARCHAR(255)); INSERT INTO marine_protected_areas (id, name, size, region) VALUES (1, 'Great Barrier Reef', 344400.0, 'Pacific'); INSERT INTO marine_protected_areas (id, name, size, region) VALUES (2, 'Galapagos Marine Reserve', 133000.0... | How many marine protected areas are there in the Pacific Ocean region with a size greater than 50,000 square kilometers? | SELECT COUNT(*) FROM marine_protected_areas WHERE region = 'Pacific' AND size > 50000; | gretelai_synthetic_text_to_sql |
CREATE TABLE forests_mx (id INT, name VARCHAR(50), state VARCHAR(50), public BOOLEAN); INSERT INTO forests_mx (id, name, state, public) VALUES (1, 'Bosque de Chapultepec', 'Ciudad de México', false); CREATE TABLE harvests_mx (id INT, forest_id INT, year INT, volume FLOAT); INSERT INTO harvests_mx (id, forest_id, year, ... | What is the total volume of timber harvested in the year 2021 in Mexico, categorized by state? | SELECT f.state, SUM(h.volume) FROM harvests_mx h JOIN forests_mx f ON h.forest_id = f.id WHERE h.year = 2021 GROUP BY f.state; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (id INT, name VARCHAR(255)); INSERT INTO organizations (id, name) VALUES (1, 'Amnesty International'), (2, 'Greenpeace'), (3, 'Oxfam'); CREATE TABLE personnel (id INT, organization_id INT, personnel_type VARCHAR(255), quantity INT, join_date DATE, location VARCHAR(255)); INSERT INTO personnel... | What's the total number of volunteers and staff by each organization in 'South America' in 2022? | SELECT organization_id, SUM(quantity) as total_personnel FROM personnel WHERE YEAR(join_date) = 2022 AND location = 'South America' GROUP BY organization_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_facilities (facility_id INT, name VARCHAR(50), county VARCHAR(25)); INSERT INTO mental_health_facilities (facility_id, name, county) VALUES (1, 'Example MHF', 'Los Angeles County'); INSERT INTO mental_health_facilities (facility_id, name, county) VALUES (2, 'Another MHF', 'New York County'); ... | What is the total number of mental health facilities in each county? | SELECT county, COUNT(*) FROM mental_health_facilities GROUP BY county; | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_tourism_certifications (id INT, continent VARCHAR(255), certification_count INT); INSERT INTO sustainable_tourism_certifications (id, continent, certification_count) VALUES (1, 'Asia', 100), (2, 'Europe', 150), (3, 'Africa', 75), (4, 'North America', 200), (5, 'South America', 125), (6, 'Austra... | What is the total number of sustainable tourism certifications in Africa? | SELECT certification_count as total_certifications FROM sustainable_tourism_certifications WHERE continent = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Meals (meal_name VARCHAR(50), calories INT, price INT, vegan BOOLEAN); INSERT INTO Meals (meal_name, calories, price, vegan) VALUES ('Lentil Soup', 300, 12, true), ('Veggie Burger', 500, 15, true), ('Chickpea Salad', 400, 13, true), ('Pizza', 800, 20, false); | What is the maximum price of vegan dishes served in 'VeganVille'? | SELECT MAX(price) FROM Meals WHERE meal_name LIKE 'VeganVille%' AND vegan = true | gretelai_synthetic_text_to_sql |
CREATE TABLE Farmers (id INT, name VARCHAR(255), location VARCHAR(255)); CREATE TABLE Farmer_Crops (farmer_id INT, crop_type VARCHAR(255), area FLOAT); INSERT INTO Farmers (id, name, location) VALUES (1, 'Farmer A', 'India'), (2, 'Farmer B', 'India'), (3, 'Farmer C', 'India'); INSERT INTO Farmer_Crops (farmer_id, crop_... | Who are the top 3 farmers in India by total area of crops? | SELECT f.name, SUM(fc.area) as total_area FROM Farmers f INNER JOIN Farmer_Crops fc ON f.id = fc.farmer_id GROUP BY f.name ORDER BY total_area DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_papers(id INT PRIMARY KEY, title VARCHAR(50), researcher_id INT); INSERT INTO ai_papers (id, title, researcher_id) VALUES (1, 'Explainable AI', 2), (2, 'AI Safety', 3), (3, 'AI Ethics', 1), (4, 'Explainable AI for AI Safety', 3); | What papers have been published on Explainable AI? | SELECT * FROM ai_papers WHERE title LIKE '%Explainable AI%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_info_2022 AS SELECT * FROM garment_info WHERE garment_info.info_date BETWEEN '2022-01-01' AND '2022-12-31'; ALTER TABLE garment_info_2022 ADD COLUMN garment_category VARCHAR(50); UPDATE garment_info_2022 SET garment_category = CASE WHEN garment_type = 'Shirt' THEN 'Tops' WHEN garment_type = 'Pants'... | What was the average sustainability score for each garment category by country in 2022, excluding accessories? | SELECT country, garment_category, AVG(sustainability_score) FROM garment_info_2022 WHERE garment_category != 'Accessories' GROUP BY country, garment_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE digital_divide_projects (id INT, project_name VARCHAR(50), location VARCHAR(50), budget INT); INSERT INTO digital_divide_projects (id, project_name, location, budget) VALUES (1, 'Internet Access Expansion', 'Brazil', 100000), (2, 'Broadband Connectivity', 'Argentina', 150000), (3, 'Digital Literacy Program... | Find the average budget for digital divide projects in South America. | SELECT AVG(budget) FROM digital_divide_projects WHERE location LIKE 'South%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_types (type_id INT, type_name TEXT); CREATE TABLE fleet (vehicle_id INT, vehicle_type_id INT, license_plate TEXT); CREATE TABLE failures (failure_id INT, vehicle_id INT, failure_time TIMESTAMP); INSERT INTO vehicle_types VALUES (1, 'Bus'), (2, 'Tram'), (3, 'Train'); INSERT INTO fleet VALUES (1, 1, ... | What is the average time between failures for all vehicles? | SELECT AVG(TIMESTAMPDIFF(MINUTE, failures.failure_time, LEAD(failures.failure_time) OVER (ORDER BY failures.failure_time))) AS avg_time_between_failures FROM failures; | gretelai_synthetic_text_to_sql |
CREATE TABLE FishBiomass (Region TEXT, Species TEXT, Biomass FLOAT); INSERT INTO FishBiomass (Region, Species, Biomass) VALUES ('North Atlantic', 'Herring', 2500000), ('North Atlantic', 'Mackerel', 3000000), ('North Atlantic', 'Cod', 1500000), ('North Atlantic', 'Haddock', 1000000), ('North Atlantic', 'Pollock', 200000... | what is the total biomass of fish in the North Atlantic? | SELECT SUM(Biomass) FROM FishBiomass WHERE Region = 'North Atlantic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_vehicles (vehicle_id INT, make VARCHAR(50), model VARCHAR(50), safety_tests INT); INSERT INTO autonomous_vehicles (vehicle_id, make, model, safety_tests) VALUES (1, 'Waymo', 'Pacifica', 0), (2, 'Tesla', 'Model 3', 1), (3, 'Nissan', 'Leaf', 2); | Find the number of safety test failures for 'autonomous_vehicles' table | SELECT COUNT(*) FROM autonomous_vehicles WHERE safety_tests < 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy (project_name VARCHAR(255), region VARCHAR(255), year INT, investment FLOAT); INSERT INTO renewable_energy (project_name, region, year, investment) VALUES ('Solar Project X', 'Peru', 2010, 5000000), ('Wind Farm Y', 'Brazil', 2011, 8000000), ('Geothermal Plant Z', 'Chile', 2012, 12000000), ... | What is the total investment in renewable energy projects in Latin America between 2010 and 2015? | SELECT SUM(investment) FROM renewable_energy WHERE region LIKE 'Latin%' AND year BETWEEN 2010 AND 2015; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (country VARCHAR(255), region VARCHAR(255), life_expectancy DECIMAL(5,2), year INT); INSERT INTO countries (country, region, life_expectancy, year) VALUES ('Afghanistan', 'Asia', 64.8, 2020), ('Bangladesh', 'Asia', 72.6, 2020); | What is the average life expectancy in Asian countries in 2020? | SELECT AVG(life_expectancy) FROM countries WHERE region = 'Asia' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE drug_sales (drug_category VARCHAR(255), sale_date DATE, sales DECIMAL(10, 2)); INSERT INTO drug_sales (drug_category, sale_date, sales) VALUES ('Drug Category X', '2022-04-01', 12000), ('Drug Category Y', '2022-05-03', 15000), ('Drug Category Z', '2022-10-15', 14000), ('Drug Category W', '2022-11-22', 1400... | List the top 3 drug categories with the highest sales in the last 9 months, including ties. | SELECT drug_category, DENSE_RANK() OVER (ORDER BY SUM(sales) DESC) as rank FROM drug_sales WHERE sale_date >= DATEADD(month, -9, GETDATE()) GROUP BY drug_category HAVING COUNT(*) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE package_middle_east (id INT, package_weight FLOAT, shipped_from VARCHAR(20), shipped_to VARCHAR(20), shipped_date DATE); INSERT INTO package_middle_east (id, package_weight, shipped_from, shipped_to, shipped_date) VALUES (1, 4.5, 'Saudi Arabia', 'UAE', '2022-02-03'); | What is the maximum weight of packages shipped between countries in the Middle East in the last week? | SELECT MAX(package_weight) FROM package_middle_east WHERE shipped_from LIKE 'Middle East%' AND shipped_to LIKE 'Middle East%' AND shipped_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 WEEK); | gretelai_synthetic_text_to_sql |
CREATE VIEW asia_hotels AS SELECT * FROM hotels WHERE continent = 'Asia'; CREATE VIEW ai_adopters AS SELECT hotel_id FROM ai_tech WHERE adoption_date IS NOT NULL; | What is the percentage of hotels in the 'asia_hotels' view that have adopted AI technology? | SELECT COUNT(*) * 100.0 / (SELECT COUNT(*) FROM asia_hotels) as percentage FROM ai_adopters; | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT, date DATE, severity VARCHAR(10), ip VARCHAR(15), country VARCHAR(30)); INSERT INTO vulnerabilities (id, date, severity, ip, country) VALUES (1, '2021-01-01', 'high', '192.168.1.100', 'United States'); | What is the total number of critical vulnerabilities by country, ordered by the number of vulnerabilities? | SELECT country, severity, COUNT(*) as vulnerability_count FROM vulnerabilities WHERE severity = 'critical' GROUP BY country ORDER BY vulnerability_count DESC; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech;CREATE TABLE if not exists biotech.startups(id INT, name STRING, location STRING, funding FLOAT);INSERT INTO biotech.startups(id, name, location, funding) VALUES (1, 'StartupA', 'Australia', 7000000.00), (2, 'StartupB', 'Australia', 8000000.00), (3, 'StartupC', 'US', 20000000.00); | What is the minimum funding received by a biotech startup in Australia? | SELECT MIN(funding) FROM biotech.startups WHERE location = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE StudentPublications (id INT, name VARCHAR(255), department VARCHAR(255), publications INT, graduation_year INT); | List the top 5 graduate students with the highest number of research publications in the School of Engineering, ordered by total publications in descending order. Include their names, total publications, and graduation year. | SELECT name, SUM(publications) as total_publications, graduation_year FROM StudentPublications WHERE department LIKE 'Engineering%' GROUP BY name, graduation_year ORDER BY total_publications DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE glacier_data (glacier VARCHAR(50), year INT, area FLOAT); | What is the total area of Arctic glaciers that have retreated since 2010? | SELECT SUM(area) FROM glacier_data WHERE year >= 2010 AND area IS NOT NULL AND glacier IS NOT NULL AND area < 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE gas_reserves (well_name VARCHAR(255), reserve_volume INT, reserve_type VARCHAR(255), location VARCHAR(255)); INSERT INTO gas_reserves (well_name, reserve_volume, reserve_type, location) VALUES ('Well A', 1000000, 'Shale Gas', 'USA'); INSERT INTO gas_reserves (well_name, reserve_volume, reserve_type, locati... | List the gas reserves, ranked by volume, for each reserve type in the USA. | SELECT well_name, reserve_volume, reserve_type, location, ROW_NUMBER() OVER (PARTITION BY reserve_type ORDER BY reserve_volume DESC) as rank FROM gas_reserves WHERE location = 'USA' | gretelai_synthetic_text_to_sql |
CREATE TABLE investment_data (customer_id INT, sector VARCHAR(20), investment FLOAT); INSERT INTO investment_data (customer_id, sector, investment) VALUES (1, 'technology', 5000), (2, 'financial services', 8000), (3, 'financial services', 3000); CREATE TABLE customer_data (customer_id INT, name VARCHAR(20), region VARC... | What is the average investment in the financial services sector for customers in the eastern region? | SELECT AVG(investment) FROM investment_data INNER JOIN customer_data ON investment_data.customer_id = customer_data.customer_id WHERE sector = 'financial services' AND customer_data.region = 'east'; | gretelai_synthetic_text_to_sql |
CREATE TABLE irrigation_system (id INT PRIMARY KEY, farm_id INT, system_type VARCHAR(50), install_date DATE); INSERT INTO irrigation_system (id, farm_id, system_type, install_date) VALUES (4, 3, 'Drip', '2019-03-25'); INSERT INTO irrigation_system (id, farm_id, system_type, install_date) VALUES (5, 4, 'Sprinkler', '202... | Which farms have a drip irrigation system installed? | SELECT farm_id FROM irrigation_system WHERE system_type = 'Drip'; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (id INT, square_footage FLOAT, energy_rating INT); | Insert a new property into the 'green_buildings' table with a square footage of 1500 and energy rating of 70. | INSERT INTO green_buildings (id, square_footage, energy_rating) VALUES (1, 1500, 70); | gretelai_synthetic_text_to_sql |
CREATE TABLE Games (GameID INT, GameName VARCHAR(20), Category VARCHAR(10), TotalHoursPlayed INT); INSERT INTO Games (GameID, GameName, Category, TotalHoursPlayed) VALUES (1, 'Game1', 'Action', 12); INSERT INTO Games (GameID, GameName, Category, TotalHoursPlayed) VALUES (2, 'Game2', 'Mobile', 5); INSERT INTO Games (Gam... | List the names of Mobile games that have been played for less than 10 hours in total. | SELECT GameName FROM Games WHERE Category = 'Mobile' AND TotalHoursPlayed < 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (artist_id INT, genre VARCHAR(10), followers INT); INSERT INTO artists (artist_id, genre, followers) VALUES (1, 'Latin', 100000), (2, 'Pop', 200000), (3, 'Latin', 150000); | What is the maximum number of followers for Latin music artists on Spotify? | SELECT MAX(followers) FROM artists WHERE genre = 'Latin'; | gretelai_synthetic_text_to_sql |
CREATE TABLE machines (id INT PRIMARY KEY, name VARCHAR(255), manufacturer VARCHAR(255), type VARCHAR(255), year INT); INSERT INTO machines (id, name, manufacturer, type, year) VALUES (1, 'Machine A', 'Manufacturer X', 'CNC', 2017), (2, 'Machine B', 'Manufacturer Y', '3D Printing', 2021), (3, 'Machine C', 'Manufacturer... | What is the total number of machines for each manufacturer, and the latest model year for each manufacturer? | SELECT manufacturer, COUNT(*) as total_machines, MAX(year) as latest_model FROM machines GROUP BY manufacturer; | gretelai_synthetic_text_to_sql |
CREATE TABLE rescue_center (id INT, animal_name VARCHAR(50), date_admitted DATE, region VARCHAR(20)); INSERT INTO rescue_center (id, animal_name, date_admitted, region) VALUES (1, 'Fox', '2021-01-05', 'Mountain'); INSERT INTO rescue_center (id, animal_name, date_admitted, region) VALUES (2, 'Eagle', '2021-06-10', 'Fore... | How many animals were admitted to the rescue center in the 'Forest' region?; | SELECT COUNT(animal_name) FROM rescue_center WHERE region = 'Forest'; | gretelai_synthetic_text_to_sql |
CREATE TABLE country_products (country VARCHAR(255), product_id INT, quantity INT, ethical_labor BOOLEAN, FOREIGN KEY (product_id) REFERENCES products(id)); | How many products are manufactured in each country with ethical labor practices? | SELECT country, SUM(quantity) FROM country_products WHERE ethical_labor = TRUE GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT, name VARCHAR(255), industry VARCHAR(255), salary DECIMAL(10,2)); CREATE TABLE unions (id INT, worker_id INT, union VARCHAR(255)); INSERT INTO workers (id, name, industry, salary) VALUES (1, 'David Williams', 'transportation', 70000.00); | What is the average salary of workers in the 'transportation' industry who are part of a union? | SELECT AVG(workers.salary) FROM workers INNER JOIN unions ON workers.id = unions.worker_id WHERE workers.industry = 'transportation' AND unions.union = 'yes'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists rural_dev; use rural_dev; CREATE TABLE if not exists rural_infrastructure_projects (id INT, project_name VARCHAR(255), country VARCHAR(255), budget FLOAT, PRIMARY KEY (id)); | List all rural infrastructure projects in Oceania with a budget greater than $1 million. | SELECT project_name, country, budget FROM rural_dev.rural_infrastructure_projects WHERE country LIKE 'Oceania%' AND budget > 1000000; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_competency_training (id INT PRIMARY KEY, organization_name VARCHAR(50), training_title TEXT, training_date DATE); | Show organizations that provided training in 2023 | SELECT DISTINCT organization_name FROM cultural_competency_training WHERE training_date >= '2023-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (id INT, event_name VARCHAR(100), event_type VARCHAR(100), visitor_rural BOOLEAN, attendance INT, event_date DATE); | Find the top 3 events with the highest number of attendees from rural areas in the last 2 years, including their total attendee count. | SELECT event_name, SUM(attendance) AS total_attendance FROM events WHERE visitor_rural = TRUE AND event_date >= DATE_SUB(CURDATE(), INTERVAL 2 YEAR) GROUP BY event_name ORDER BY total_attendance DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (id INT, name VARCHAR(255));CREATE TABLE factory_machines (factory_id INT, machine_id INT); | Show the number of machines in each factory, including factories with no machines. | SELECT factories.name, COUNT(factory_machines.machine_id) AS machine_count FROM factories LEFT JOIN factory_machines ON factories.id = factory_machines.factory_id GROUP BY factories.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE budgets (id INT, region TEXT, program TEXT, amount FLOAT); INSERT INTO budgets (id, region, program, amount) VALUES (1, 'African', 'Healthcare', 1000000.00), (2, 'Asian', 'Education', 1500000.00), (3, 'African', 'Transportation', 800000.00), (4, 'European', 'Energy', 1200000.00); | What is the total budget allocated for healthcare programs in the African region? | SELECT SUM(amount) FROM budgets WHERE region = 'African' AND program = 'Healthcare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE month (month_id INT, month_name TEXT); CREATE TABLE professional_development (professional_development_id INT, month_id INT, num_hours INT); INSERT INTO month (month_id, month_name) VALUES (1, 'January'), (2, 'February'), (3, 'March'), (4, 'April'), (5, 'May'), (6, 'June'), (7, 'July'), (8, 'August'), (9, ... | What is the average number of hours of professional development workshops held per month? | SELECT month_name, AVG(num_hours) FROM professional_development INNER JOIN month ON professional_development.month_id = month.month_id GROUP BY month_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Genre (GenreID INT, Genre VARCHAR(50)); INSERT INTO Genre VALUES (1, 'Pop'), (2, 'Rock'), (3, 'Jazz'); | What is the total number of streams for artists in the 'Pop' genre? | SELECT COUNT(*) FROM Streams JOIN Artists ON Streams.ArtistID = Artists.ArtistID WHERE Artists.Genre = 'Pop'; | gretelai_synthetic_text_to_sql |
CREATE TABLE procedures (procedure_id INT, procedure_name TEXT, hospital_id INT); INSERT INTO procedures (procedure_id, procedure_name, hospital_id) VALUES (1, 'Procedure A', 1); CREATE TABLE hospitals (hospital_id INT, hospital_name TEXT, beds INT, rural BOOLEAN, state_id INT); INSERT INTO hospitals (hospital_id, hosp... | List the top 10 most common procedures performed in rural hospitals, ordered by the number of occurrences in descending order. | SELECT procedures.procedure_name, COUNT(procedures.procedure_id) procedure_count FROM procedures JOIN hospitals ON procedures.hospital_id = hospitals.hospital_id AND hospitals.rural = true GROUP BY procedures.procedure_name ORDER BY procedure_count DESC LIMIT 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE technology_accessibility_impact (person_id INT, region VARCHAR(20)); INSERT INTO technology_accessibility_impact (person_id, region) VALUES (1, 'South America'), (2, 'Africa'), (3, 'Asia'), (4, 'South America'); | What is the total number of people who have benefited from technology accessibility initiatives in South America? | SELECT COUNT(*) FROM technology_accessibility_impact WHERE region = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE city_waste_generation(city VARCHAR(50), year INT, population INT, amount FLOAT); INSERT INTO city_waste_generation(city, year, population, amount) VALUES('CityC', 2022, 200000, 250000), ('CityC', 2021, 195000, 245000), ('CityD', 2022, 220000, 280000), ('CityD', 2021, 215000, 275000); | What is the average waste generation in kg per capita for 'CityC' and 'CityD' in 2022? | SELECT w.city, AVG(w.amount/c.population) FROM city_waste_generation w JOIN (SELECT city, SUM(population) AS population FROM city_waste_generation WHERE year = 2022 GROUP BY city) c ON w.city = c.city WHERE w.year = 2022 GROUP BY w.city; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinics (id INT, name VARCHAR(50), location VARCHAR(50)); CREATE TABLE patient_satisfaction (clinic_id INT, score INT); INSERT INTO clinics (id, name, location) VALUES (1, 'Clinic A', 'California'), (2, 'Clinic B', 'California'); INSERT INTO patient_satisfaction (clinic_id, score) VALUES (1, 90), (2, 95); | What is the name and location of the rural clinic with the highest patient satisfaction score in California? | SELECT clinics.name, clinics.location FROM clinics JOIN (SELECT clinic_id, MAX(score) as max_score FROM patient_satisfaction GROUP BY clinic_id) AS subquery ON clinics.id = subquery.clinic_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE PermitsByDay (PermitID int, Date date, State varchar(25)); INSERT INTO PermitsByDay (PermitID, Date, State) VALUES (4, '2021-01-01', 'CA'), (5, '2021-02-01', 'CA'), (6, '2021-03-01', 'CA'); | How many building permits were issued per day in CA in 2021? | SELECT DATEPART(YEAR, Date) AS Year, DATEPART(MONTH, Date) AS Month, DATEPART(DAY, Date) AS Day, COUNT(*) AS PermitsIssued FROM PermitsByDay WHERE State = 'CA' AND YEAR(Date) = 2021 GROUP BY DATEPART(YEAR, Date), DATEPART(MONTH, Date), DATEPART(DAY, Date); | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (ArtworkID INT, Name VARCHAR(100), Artist VARCHAR(100), YearCreated INT, TotalSales DECIMAL(10,2)); INSERT INTO Artworks (ArtworkID, Name, Artist, YearCreated, TotalSales) VALUES (1, 'The Persistence of Memory', 'Salvador Dalí', 1931, 500000); | What was the most popular artwork in the 18th century by total sales? | SELECT Name, TotalSales FROM (SELECT Name, TotalSales, ROW_NUMBER() OVER (ORDER BY TotalSales DESC) as rn FROM Artworks WHERE YearCreated BETWEEN 1701 AND 1800) tmp WHERE rn = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE algorand_network (network_name VARCHAR(20), node_count INT); INSERT INTO algorand_network (network_name, node_count) VALUES ('Algorand', 1000); | How many nodes are present on the Algorand network? | SELECT node_count FROM algorand_network WHERE network_name = 'Algorand'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibition (id INT, title VARCHAR(255), art_count INT); | List all exhibitions with more than 50 artworks. | SELECT title FROM Exhibition WHERE art_count > 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE traditional_music_south_america (id INT, genre VARCHAR(30), performer VARCHAR(30), country VARCHAR(15)); INSERT INTO traditional_music_south_america (id, genre, performer, country) VALUES (1, 'Samba', 'Beth Carvalho', 'Brazil'), (2, 'Cumbia', 'Totó la Momposina', 'Colombia'), (3, 'Andean', 'Los Kjarkas', '... | List the traditional music genres and their performers in South America. | SELECT genre, performer FROM traditional_music_south_america; | gretelai_synthetic_text_to_sql |
CREATE TABLE household_water_consumption (id INT, state VARCHAR(20), water_consumption FLOAT); INSERT INTO household_water_consumption (id, state, water_consumption) VALUES (1, 'New_York', 150), (2, 'New_York', 200), (3, 'Texas', 120); | What is the minimum water consumption per household in the state of New York? | SELECT state, MIN(water_consumption) FROM household_water_consumption WHERE state = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Hires (HireDate DATE); INSERT INTO Hires (HireDate) VALUES ('2021-01-01'), ('2021-02-01'), ('2021-03-01'), ('2022-01-01'), ('2022-02-01'); | What is the number of new hires by month for the last two years, including months with no new hires? | SELECT DATE_FORMAT(HireDate, '%Y-%m') as Month, COUNT(*) as New_Hires FROM Hires WHERE HireDate >= DATE_SUB(CURRENT_DATE, INTERVAL 24 MONTH) GROUP BY Month ORDER BY Month; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_infrastructure (id INT, state VARCHAR(50), project_type VARCHAR(50), status VARCHAR(50)); INSERT INTO rural_infrastructure (id, state, project_type, status) VALUES (1, 'New South Wales', 'Roads', 'Completed'), (2, 'Victoria', 'Irrigation', 'In Progress'), (3, 'Queensland', 'Rural Electrification', 'C... | How many rural infrastructure projects have been completed in each state of Australia? | SELECT state, COUNT(*) as completed_projects FROM rural_infrastructure WHERE status = 'Completed' GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE Infrastructure_Projects (id INT, name VARCHAR(100), state VARCHAR(50), cost FLOAT); INSERT INTO Infrastructure_Projects (id, name, state, cost) VALUES (1, 'Seawall Upgrade', 'California', 5000000); INSERT INTO Infrastructure_Projects (id, name, state, cost) VALUES (2, 'Road Repaving', 'California', 2000000... | What is the maximum and minimum cost of projects in 'California'? | SELECT MIN(cost), MAX(cost) FROM Infrastructure_Projects WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE operator_production (operator_id INT, production_quantity INT, date DATE); INSERT INTO operator_production (operator_id, production_quantity, date) VALUES (1, 500, '2022-01-01'); INSERT INTO operator_production (operator_id, production_quantity, date) VALUES (2, 600, '2022-01-02'); | Who are the top five operators with the highest production quantity? | SELECT operator_id, SUM(production_quantity) as total_production FROM operator_production GROUP BY operator_id ORDER BY total_production DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryTech (id INT, name VARCHAR(50), type VARCHAR(50), country VARCHAR(50), cost FLOAT); INSERT INTO MilitaryTech (id, name, type, country, cost) VALUES (1, 'F-35 Lightning II', 'Fighter', 'USA', 1010000000); | What is the average cost of military technologies with more than 2 instances? | SELECT type, AVG(cost) FROM MilitaryTech GROUP BY type HAVING COUNT(*) > 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryTechnology (Id INT PRIMARY KEY, Country VARCHAR(50), Name VARCHAR(50), Year INT); | Find countries where all military technologies are newer than 2010 | SELECT Country FROM MilitaryTechnology GROUP BY Country HAVING MIN(Year) > 2010; | gretelai_synthetic_text_to_sql |
CREATE TABLE subway (line_id INT, city VARCHAR(50), daily_ridership INT); INSERT INTO subway (line_id, city, daily_ridership) VALUES (1, 'Tokyo', 300000), (2, 'Tokyo', 450000), (3, 'Tokyo', 400000), (4, 'Tokyo', 500000); | What is the average daily ridership for each subway line in Tokyo? | SELECT line_id, city, AVG(daily_ridership) FROM subway GROUP BY line_id, city; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (event_id INT, event_name VARCHAR(255)); INSERT INTO Events (event_id, event_name) VALUES (1, 'Annual Festival'), (2, 'Community Fair'); CREATE TABLE Audience (audience_id INT, event_id INT, community_representation VARCHAR(50), total_attendees INT); INSERT INTO Audience (audience_id, event_id, comm... | What percentage of attendees at the 'Community Fair' event identify as part of the LGBTQ+ community? | SELECT e.event_name, a.community_representation, (COUNT(a.audience_id) * 100.0 / SUM(a.total_attendees)) AS percentage FROM Events e JOIN Audience a ON e.event_id = a.event_id WHERE e.event_name = 'Community Fair' AND a.community_representation = 'LGBTQ+' GROUP BY e.event_name, a.community_representation; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_sustainability (id INT PRIMARY KEY, menu_item VARCHAR(255), sustainability_rating DECIMAL(3,2)); CREATE TABLE menu_items (id INT PRIMARY KEY, menu_item VARCHAR(255), is_sustainable BOOLEAN, price DECIMAL(5,2)); | Find the total revenue generated from sustainable menu items | SELECT SUM(price) FROM menu_items mi JOIN menu_sustainability ms ON mi.menu_item = ms.menu_item WHERE ms.sustainability_rating >= 0.75 AND mi.is_sustainable = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (game_id INT, game_type VARCHAR(10)); INSERT INTO games (game_id, game_type) VALUES (1, 'Hockey'); CREATE TABLE sales (sale_id INT, game_id INT, revenue DECIMAL(5,2), quantity INT); INSERT INTO sales (sale_id, game_id, revenue, quantity) VALUES (1, 1, 100.00, 2), (2, 1, 125.00, 3), (3, 1, 150.00, 1); | What is the average ticket price for hockey games? | SELECT AVG(sales.revenue/sales.quantity) FROM sales JOIN games ON sales.game_id = games.game_id WHERE games.game_type = 'Hockey'; | gretelai_synthetic_text_to_sql |
CREATE TABLE gas_production (country text, year integer, daily_gas_production real); INSERT INTO gas_production (country, year, daily_gas_production) VALUES ('USA', 2020, 2739.73), ('Russia', 2020, 2191.78), ('Iran', 2020, 1369.86), ('China', 2020, 821.92), ('Qatar', 2020, 607.14); | What is the average daily gas production for the top 3 gas producing countries? | SELECT AVG(daily_gas_production) FROM (SELECT daily_gas_production FROM gas_production WHERE country IN ('USA', 'Russia', 'Iran') ORDER BY daily_gas_production DESC LIMIT 3) subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cases (ID INT, CaseNumber INT, DateOpened DATE, DateClosed DATE, Resolution VARCHAR(255)); INSERT INTO Cases (ID, CaseNumber, DateOpened, DateClosed, Resolution) VALUES (1, 12345, '2022-01-01', '2022-03-15', 'Mediation'), (2, 67890, '2022-02-15', '2022-04-30', 'Fine'), (3, 111213, '2022-03-28', NULL, 'Prob... | What is the percentage of cases that were resolved through mediation, out of all cases closed in the past year? | SELECT (SUM(CASE WHEN Resolution = 'Mediation' THEN 1 ELSE 0 END) * 100.0 / COUNT(*)) as PercentageResolvedThroughMediation FROM Cases WHERE DateClosed IS NOT NULL AND DateClosed >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
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