context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE VolunteerHours (VolunteerID INT, Hours INT, VolunteerDate DATE); INSERT INTO VolunteerHours VALUES (1, 4, '2021-01-01'), (1, 6, '2021-02-01'), (2, 8, '2021-03-01'); | What is the average number of hours volunteered per volunteer in 2021? | SELECT AVG(Hours) FROM VolunteerHours WHERE YEAR(VolunteerDate) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (id INT, state TEXT, mental_health_score INT); | What is the minimum mental health score of students in each state? | SELECT state, MIN(mental_health_score) FROM students GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_items (id INT, name VARCHAR(255)); INSERT INTO menu_items (id, name) VALUES (1, 'Burger'), (2, 'Pizza'), (3, 'Pasta'), (4, 'Salad'), (5, 'Tofu Scramble'); CREATE TABLE food_safety_inspections (id INT, menu_item_id INT, score INT, inspection_date DATE); INSERT INTO food_safety_inspections (id, menu_ite... | Determine the average food safety score for each menu item | SELECT mi.name, AVG(fsi.score) as avg_score FROM menu_items mi INNER JOIN food_safety_inspections fsi ON mi.id = fsi.menu_item_id GROUP BY mi.id, mi.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE financial_wellbeing (id INT, individual_id INT, financial_wellbeing_score INT, country VARCHAR(50)); | What is the maximum financial wellbeing score in Central America? | SELECT MAX(financial_wellbeing_score) FROM financial_wellbeing WHERE country LIKE 'Central America%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_temperatures (year INTEGER, ocean VARCHAR(255), temperature FLOAT); | What is the average temperature of the Indian Ocean by year? | SELECT year, AVG(temperature) FROM ocean_temperatures WHERE ocean = 'Indian Ocean' GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE element_2017 (element VARCHAR(10), quantity INT, price DECIMAL(5,2)); INSERT INTO element_2017 (element, quantity, price) VALUES ('Dy', 1200, 250.50), ('Tm', 800, 180.25), ('Y', 1500, 150.00); | Which elements were produced in 2017 and their corresponding prices? | SELECT e.element, e.quantity, p.price FROM element_2017 e LEFT JOIN prices p ON e.element = p.element; | gretelai_synthetic_text_to_sql |
CREATE TABLE LanguageCountry (LanguageID int, CountryID int); INSERT INTO LanguageCountry (LanguageID, CountryID) VALUES (1, 1), (2, 2), (3, 3); CREATE TABLE Countries (CountryID int, CountryName text, HeritageSite BOOLEAN, TraditionalArt BOOLEAN); INSERT INTO Countries (CountryID, CountryName, HeritageSite, Traditiona... | Which endangered languages are spoken in countries with heritage sites and traditional arts? | SELECT L.LanguageName FROM Languages L JOIN LanguageCountry LC ON L.LanguageID = LC.LanguageID JOIN Countries C ON LC.CountryID = C.CountryID WHERE C.HeritageSite = TRUE AND C.TraditionalArt = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_acidification_data (location VARCHAR(255), acidification_level FLOAT, measurement_date DATE); | Update the ocean acidification level for the most recent measurement in the Atlantic Ocean. | UPDATE ocean_acidification_data SET acidification_level = 3.5 WHERE measurement_date = (SELECT MAX(measurement_date) FROM ocean_acidification_data WHERE location = 'Atlantic Ocean'); | gretelai_synthetic_text_to_sql |
CREATE TABLE policy (policy_id INT, policy_holder VARCHAR(50), coverage_amount INT); INSERT INTO policy (policy_id, policy_holder, coverage_amount) VALUES (1, 'John Doe', 400000), (2, 'Jane Smith', 600000); | Delete policy records with a coverage amount over $500,000 | DELETE FROM policy WHERE coverage_amount > 500000; | gretelai_synthetic_text_to_sql |
CREATE TABLE cargoes (id INT, name VARCHAR(50), at_sea INT); INSERT INTO cargoes (id, name, at_sea) VALUES (1, 'Electronic Goods', 35), (2, 'Machinery Parts', 42), (3, 'Clothing Items', 20); | Which cargoes have been at sea for more than 45 days but less than 60 days? | SELECT * FROM cargoes WHERE at_sea > 45 AND at_sea < 60; | gretelai_synthetic_text_to_sql |
CREATE TABLE RouteFares (RouteID int, FareType varchar(50)); INSERT INTO RouteFares VALUES (1, 'Standard'); INSERT INTO RouteFares VALUES (1, 'Discounted'); INSERT INTO RouteFares VALUES (2, 'Standard'); INSERT INTO RouteFares VALUES (3, 'Standard'); INSERT INTO RouteFares VALUES (3, 'Discounted'); | List all routes with their respective fare types. | SELECT Routes.RouteName, RouteFares.FareType FROM Routes INNER JOIN RouteFares ON Routes.RouteID = RouteFares.RouteID; | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_stock (id INT, species VARCHAR, biomass FLOAT); INSERT INTO fish_stock (id, species, biomass) VALUES (1, 'Tilapia', 500.0), (2, 'Salmon', 800.0), (3, 'Trout', 300.0), (4, 'Bass', 700.0), (5, 'Tilapia', 600.0); | What is the average biomass of fish for each species? | SELECT species, AVG(biomass) FROM fish_stock GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, supplier_name VARCHAR(255), city VARCHAR(255), country VARCHAR(255)); | Add a new record to the 'suppliers' table for a supplier from 'Nairobi, Kenya' | INSERT INTO suppliers (supplier_id, supplier_name, city, country) VALUES (1, 'Mary Muthoni', 'Nairobi', 'Kenya'); | gretelai_synthetic_text_to_sql |
CREATE TABLE flight_safety (id INT PRIMARY KEY, incident VARCHAR(50), year INT); INSERT INTO flight_safety (id, incident, year) VALUES (1, 'Collision with birds', 1999), (2, 'Loss of cabin pressure', 2000), (3, 'Engine failure', 2002), (4, 'Landing gear failure', 2005), (5, 'Hydraulic leak', 2008); | Delete all flight safety records before 2000 | DELETE FROM flight_safety WHERE year < 2000; | gretelai_synthetic_text_to_sql |
CREATE TABLE RuralClinics (ClinicID int, ClinicName varchar(50), State varchar(2)); CREATE TABLE HealthcareProfessionals (ProfessionalID int, ProfessionalName varchar(50), ClinicID int); INSERT INTO RuralClinics (ClinicID, ClinicName, State) VALUES (1, 'Rural Clinic A', 'CA'), (2, 'Rural Clinic B', 'CA'), (3, 'Rural Cl... | Which rural clinics in California have no healthcare professionals? | SELECT RuralClinics.ClinicName FROM RuralClinics LEFT JOIN HealthcareProfessionals ON RuralClinics.ClinicID = HealthcareProfessionals.ClinicID WHERE HealthcareProfessionals.ProfessionalID IS NULL AND RuralClinics.State = 'CA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryEquipmentSales (id INT, equipment_name VARCHAR(50), sale_amount INT, sale_date DATE); INSERT INTO MilitaryEquipmentSales (id, equipment_name, sale_amount, sale_date) VALUES (1, 'Fighter Jet', 45000, '2021-01-01'), (2, 'Tank', 75000, '2021-02-01'); | Update records in the MilitaryEquipmentSales table | UPDATE MilitaryEquipmentSales SET sale_amount = 60000 WHERE id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE InventoryExtreme (inventory_id INT, warehouse_id INT, item_name VARCHAR(50), quantity INT, delivery_date DATE); INSERT INTO InventoryExtreme (inventory_id, warehouse_id, item_name, quantity, delivery_date) VALUES (1, 1, 'Box', 10, '2022-01-01'), (2, 2, 'Palette', 20, '2022-02-01'), (3, 3, 'Package', 30, '2... | What is the minimum quantity of items in the inventory for any warehouse? | SELECT MIN(quantity) as min_quantity FROM InventoryExtreme; | gretelai_synthetic_text_to_sql |
CREATE TABLE biodiversity_monitoring_programs (id INT, name TEXT, region TEXT); INSERT INTO biodiversity_monitoring_programs (id, name, region) VALUES (1, 'Arctic Biodiversity Assessment', 'Arctic'); INSERT INTO biodiversity_monitoring_programs (id, name, region) VALUES (2, 'Circumpolar Biodiversity Monitoring Program'... | Which biodiversity monitoring programs have collected data at more than 2 arctic research stations? | SELECT program_id, name, COUNT(DISTINCT station_id) as stations_visited FROM biodiversity_data GROUP BY program_id, name HAVING stations_visited > 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE transportation (id INT, name VARCHAR(255), location VARCHAR(255), budget FLOAT, project_type VARCHAR(255)); INSERT INTO transportation (id, name, location, budget, project_type) VALUES (1, 'Railway', 'California', 10000000, 'Rail'), (2, 'Airport', 'Texas', 15000000, 'Air'); | What is the maximum budget for each type of transportation project? | SELECT t.project_type, MAX(t.budget) as max_budget FROM transportation t GROUP BY t.project_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryPersonnel (Id INT, Country VARCHAR(50), Service VARCHAR(50), Quantity INT);INSERT INTO MilitaryPersonnel (Id, Country, Service, Quantity) VALUES (1, 'Brazil', 'Army', 250000), (2, 'Argentina', 'Navy', 50000), (3, 'Colombia', 'Air Force', 40000), (4, 'Peru', 'Navy', 30000); | What is the total number of military personnel per country in the South American region with service 'Navy'? | SELECT Country, SUM(Quantity) AS TotalPersonnel FROM MilitaryPersonnel WHERE Country IN ('Brazil', 'Argentina', 'Colombia', 'Peru') AND Service = 'Navy' GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (restaurant_id INT, cuisine VARCHAR(50), location VARCHAR(50), revenue INT); INSERT INTO Restaurants (restaurant_id, cuisine, location, revenue) VALUES (1, 'Italian', 'New York', 5000), (2, 'Mexican', 'Los Angeles', 7000), (3, 'Italian', 'Chicago', 6000); | What is the total revenue for each cuisine type in New York? | SELECT cuisine, SUM(revenue) AS total_revenue FROM Restaurants WHERE location = 'New York' GROUP BY cuisine; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainableFabrics (fabric_id INT, fabric_name VARCHAR(50), source_country VARCHAR(50), price DECIMAL(5,2), quantity INT); INSERT INTO SustainableFabrics (fabric_id, fabric_name, source_country, price, quantity) VALUES (1, 'Organic Cotton', 'Guatemala', 3.50, 200), (2, 'Recycled Polyester', 'Belize', 4.25,... | What is the total quantity of sustainable fabrics sourced from Central America? | SELECT SUM(quantity) FROM SustainableFabrics WHERE source_country = 'Central America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE AutomationEquipment (EquipmentID INT, LastUpdate DATETIME); | How many machines in the 'AutomationEquipment' table have been updated in the past month? | SELECT COUNT(*) FROM AutomationEquipment WHERE LastUpdate >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT, name VARCHAR(50), age INT, gender VARCHAR(10), country VARCHAR(50)); INSERT INTO farmers (id, name, age, gender, country) VALUES (1, 'Adaeze Okonkwo', 30, 'Female', 'Nigeria'); INSERT INTO farmers (id, name, age, gender, country) VALUES (2, 'Chidinma Eze', 35, 'Female', 'Nigeria'); CREATE ... | What is the number of women farmers in Nigeria who have participated in agricultural training programs since 2015? | SELECT COUNT(*) FROM farmers f JOIN trainings t ON f.id = t.farmer_id WHERE f.gender = 'Female' AND f.country = 'Nigeria' AND t.completion_date >= '2015-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE europium_production (year INT, production FLOAT); INSERT INTO europium_production (year, production) VALUES (2015, 5000), (2016, 6000), (2017, 7000), (2018, 8000), (2019, 9000), (2020, 10000); | Delete the record of Europium production in 2017 | DELETE FROM europium_production WHERE year = 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE natural_materials (material_id INT PRIMARY KEY, material_name VARCHAR(50), country_of_origin VARCHAR(50)); INSERT INTO natural_materials (material_id, material_name, country_of_origin) VALUES (1, 'Organic Cotton', 'India'), (2, 'Hemp', 'China'), (3, 'Bamboo', 'China'); | Which natural materials are used by textile manufacturers and their origin? | SELECT * FROM natural_materials; | gretelai_synthetic_text_to_sql |
CREATE TABLE budget_allocation (state VARCHAR(20), service VARCHAR(20), allocation FLOAT); INSERT INTO budget_allocation (state, service, allocation) VALUES ('New York', 'Education', 15000000), ('New York', 'Healthcare', 20000000); | What is the average budget allocation for education and healthcare services in the state of New York? | SELECT AVG(allocation) FROM budget_allocation WHERE state = 'New York' AND service IN ('Education', 'Healthcare'); | gretelai_synthetic_text_to_sql |
CREATE TABLE events (id INT, city VARCHAR(20), price DECIMAL(5,2)); INSERT INTO events (id, city, price) VALUES (1, 'Paris', 20.99), (2, 'London', 18.50); | What is the average ticket price for events in Paris and London? | SELECT AVG(price) FROM events WHERE city IN ('Paris', 'London'); | gretelai_synthetic_text_to_sql |
CREATE TABLE transportation_projects (project VARCHAR(50), budget INT); INSERT INTO transportation_projects (project, budget) VALUES ('Railway Project', 2000000), ('Highway Project', 3000000), ('Bridge Project', 1000000); | What is the maximum budget allocated for a single transportation project? | SELECT MAX(budget) FROM transportation_projects; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (building_id INT, building_name VARCHAR(255), certification_date DATE); | Delete all records of green building certifications that were issued before the year 2000. | DELETE FROM green_buildings WHERE certification_date < '2000-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE popular_articles (id INT, title TEXT, author TEXT, views INT); | Delete all records from the "popular_articles" table where the "author" is "John Doe" | DELETE FROM popular_articles WHERE author = 'John Doe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Practices (id INT, name VARCHAR(255), type VARCHAR(255), implementation_location VARCHAR(255), industry VARCHAR(255)); INSERT INTO Practices (id, name, type, implementation_location, industry) VALUES (1, 'Living Wage', 'Fair Labor Practice', 'Bangladesh', 'Denim'); INSERT INTO Practices (id, name, type, im... | Which fair labor practices are implemented in the denim production in Bangladesh? | SELECT DISTINCT name FROM Practices WHERE implementation_location = 'Bangladesh' AND industry = 'Denim' AND type = 'Fair Labor Practice' | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(255), release_year INT, director VARCHAR(255)); INSERT INTO movies (id, title, release_year, director) VALUES (1, 'The Shawshank Redemption', 1994, 'Frank Darabont'); | What's the name of the director who directed 'The Shawshank Redemption'? | SELECT director FROM movies WHERE title = 'The Shawshank Redemption'; | gretelai_synthetic_text_to_sql |
CREATE TABLE campaigns (campaign_id INT, campaign_name VARCHAR(255), start_date DATE, end_date DATE, ad_spend DECIMAL(10,2)); CREATE TABLE ad_interactions (interaction_id INT, user_id INT, campaign_id INT, interaction_date DATE); | Find the number of unique users who engaged with ads related to 'sustainable fashion' in the past year, and the total ad spend for those campaigns. | SELECT c.campaign_name, COUNT(DISTINCT ai.user_id) as unique_users, SUM(c.ad_spend) as total_ad_spend FROM campaigns c INNER JOIN ad_interactions ai ON c.campaign_id = ai.campaign_id WHERE ai.interaction_date >= DATE_SUB(CURDATE(), INTERVAL 1 YEAR) AND c.campaign_name LIKE '%sustainable fashion%' GROUP BY c.campaign_na... | gretelai_synthetic_text_to_sql |
CREATE TABLE ceo (company_id INT, CEO TEXT, employees INT); INSERT INTO ceo (company_id, CEO, employees) VALUES (1, 'male', 20), (2, 'non-binary', 5), (3, 'female', 12), (4, 'male', 30), (5, 'female', 40), (6, 'transgender', 25), (7, 'non-binary', 8), (8, 'queer', 35); | How many companies in the "healthcare" sector have a CEO from the LGBTQ+ community and have more than 10 employees? | SELECT COUNT(*) FROM company JOIN ceo ON company.id = ceo.company_id WHERE company.industry = 'healthcare' AND ceo.CEO IN ('transgender', 'non-binary', 'queer') AND ceo.employees > 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE bridges (bridge_id INT, bridge_name VARCHAR(50), state VARCHAR(50), construction_year INT); | What are the number of bridges and their average age in Texas that are older than 60 years? | SELECT COUNT(bridges.bridge_id) as number_of_bridges, AVG(bridges.construction_year) as average_age FROM bridges WHERE bridges.state = 'Texas' AND bridges.construction_year < 1962; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists worker_region (worker_id INT, industry TEXT, region TEXT);INSERT INTO worker_region (worker_id, industry, region) VALUES (1, 'construction', 'east'), (2, 'retail', 'west'), (3, 'manufacturing', 'west'); | What is the total number of workers in the 'retail' industry and 'west' region? | SELECT COUNT(*) FROM worker_region WHERE industry = 'retail' AND region = 'west'; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours_ca_au (id INT, country VARCHAR(50), engagement_time INT); INSERT INTO virtual_tours_ca_au (id, country, engagement_time) VALUES (1, 'Canada', 500), (2, 'Canada', 600), (3, 'Australia', 700), (4, 'Australia', 800); | What is the average engagement time for virtual tours in Canada and Australia? | SELECT country, AVG(engagement_time) FROM virtual_tours_ca_au WHERE country IN ('Canada', 'Australia') GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_practices (project_id INT, practice VARCHAR(50)); INSERT INTO sustainable_practices VALUES (1001, 'Solar panels'), (1001, 'Green roof'), (1002, 'Rainwater harvesting'), (1003, 'Insulation'); | Which sustainable building practices were implemented in New York projects? | SELECT practice FROM sustainable_practices WHERE project_id IN (SELECT project_id FROM building_projects WHERE state = 'New York'); | gretelai_synthetic_text_to_sql |
CREATE TABLE astronauts (id INT, name VARCHAR(255), spacecraft_id INT, role VARCHAR(255), country VARCHAR(255)); INSERT INTO astronauts VALUES (4, 'Rakesh Sharma', 1, 'Commander', 'India'); | How many astronauts from India have participated in space missions? | SELECT COUNT(id) as indian_astronauts_count FROM astronauts WHERE country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies (id INT, name VARCHAR(50), industry VARCHAR(50), country VARCHAR(50), founding_year INT, founder_minority VARCHAR(10)); INSERT INTO Companies (id, name, industry, country, founding_year, founder_minority) VALUES (1, 'GreenTech', 'Renewable Energy', 'USA', 2019, 'Yes'); INSERT INTO Companies (id, ... | What is the percentage of companies founded by underrepresented minorities in each industry? | SELECT industry, ROUND(100.0 * SUM(CASE WHEN founder_minority = 'Yes' THEN 1 ELSE 0 END) / COUNT(*), 2) as minority_percentage FROM Companies GROUP BY industry; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (ID INT, Name VARCHAR(255), Type VARCHAR(255)); INSERT INTO Exhibitions (ID, Name, Type) VALUES (1, 'Modern Art 1', 'Modern'), (2, 'Modern Art 2', 'Modern'); CREATE TABLE Visitors (ID INT, ExhibitionID INT, Age INT, Gender VARCHAR(50)); | What is the distribution of visitors by age group for the modern art exhibitions? | SELECT e.Type, v.AgeGroup, COUNT(v.ID) as VisitorCount FROM Visitors v JOIN (SELECT ExhibitionID, CASE WHEN Age < 18 THEN 'Under 18' WHEN Age BETWEEN 18 AND 35 THEN '18-35' WHEN Age BETWEEN 36 AND 60 THEN '36-60' ELSE 'Above 60' END AS AgeGroup FROM Visitors WHERE ExhibitionID IN (1, 2)) v2 ON v.ID = v2.ID GROUP BY e.T... | gretelai_synthetic_text_to_sql |
CREATE SCHEMA suburban; CREATE TABLE suburban.trains (id INT, maintenance_cost INT); INSERT INTO suburban.trains (id, maintenance_cost) VALUES (1, 6000), (2, 3000), (3, 4000); | How many trains in the 'suburban' schema have maintenance costs less than $4000? | SELECT COUNT(*) FROM suburban.trains WHERE maintenance_cost < 4000; | gretelai_synthetic_text_to_sql |
CREATE TABLE TimeOnPlatform (PlayerID INT, Platform VARCHAR(10), AvgTime FLOAT); INSERT INTO TimeOnPlatform (PlayerID, Platform, AvgTime) VALUES (1, 'PC', 150.5); | What is the difference in the average time spent on the platform, per player, between PC and console users? | SELECT a.Platform, AVG(a.AvgTime - b.AvgTime) as AvgTimeDifference FROM TimeOnPlatform a, TimeOnPlatform b WHERE a.Platform = 'PC' AND b.Platform = 'Console' GROUP BY a.Platform; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkers (Id INT, Age INT, Gender VARCHAR(10), Ethnicity VARCHAR(20)); INSERT INTO CommunityHealthWorkers (Id, Age, Gender, Ethnicity) VALUES (1, 45, 'Female', 'Hispanic'), (2, 35, 'Male', 'LGBTQ+'), (3, 50, 'Non-binary', 'African American'), (4, 40, 'Transgender', 'LGBTQ+'), (5, 60, 'Male', ... | What is the total number of community health workers who identify as Native American and are aged 50 or above? | SELECT COUNT(*) as CountOfWorkers FROM CommunityHealthWorkers WHERE Ethnicity = 'Native American' AND Age >= 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE mature_forest (tree_id INT, species VARCHAR(50), age INT); | What is the average age of trees in the mature_forest table, grouped by their species? | SELECT species, AVG(age) FROM mature_forest GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT, ArtistName VARCHAR(50)); CREATE TABLE ArtPieces (ArtPieceID INT, ArtistID INT, ArtType VARCHAR(50), ArtYear INT); INSERT INTO Artists VALUES (1, 'Sita Das'), (2, 'Hiroshi Tanaka'); INSERT INTO ArtPieces VALUES (1, 1, 'Kantha', 2010), (2, 1, 'Batik', 2015), (3, 2, 'Kasuri', 2005), (4,... | What is the total number of traditional textile art pieces per artist? | SELECT Artists.ArtistName, COUNT(ArtPieces.ArtPieceID) AS TotalArtPieces FROM Artists INNER JOIN ArtPieces ON Artists.ArtistID = ArtPieces.ArtistID WHERE ArtPieces.ArtType LIKE '%textile%' GROUP BY Artists.ArtistName; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name VARCHAR(255), type VARCHAR(255), speed DECIMAL(5,2), latitude DECIMAL(9,6), longitude DECIMAL(9,6)); INSERT INTO vessels (id, name, type, speed, latitude, longitude) VALUES (1, 'VesselA', 'Passenger', 18.5, 59.424744, 24.879444); | What is the average speed of vessels with the 'Passenger' type in the Baltic Sea? | SELECT AVG(speed) as avg_speed FROM vessels WHERE type = 'Passenger' AND latitude BETWEEN 55.0 AND 65.0 AND longitude BETWEEN 10.0 AND 30.0; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpaceMissions (id INT, name VARCHAR(255), launch_date DATE); INSERT INTO SpaceMissions (id, name, launch_date) VALUES (1, 'Jupiter Orbiter', '2025-01-01'), (2, 'Jupiter Habitat', '2027-04-01'), (3, 'Mars Rover', '2020-07-30'), (4, 'Saturn Probe', '2023-12-15'); | What is the earliest launch date for a mission to Jupiter? | SELECT MIN(launch_date) FROM SpaceMissions WHERE name LIKE '%Jupiter%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Satellite (id INT, name VARCHAR(50), type VARCHAR(50), manufacturer VARCHAR(50), launch_date DATE); INSERT INTO Satellite (id, name, type, manufacturer, launch_date) VALUES (1, 'Landsat 1', 'Earth Observation', 'Boeing', '1972-07-23'); INSERT INTO Satellite (id, name, type, manufacturer, launch_date) VALUE... | How many satellites were launched by American companies in the 1990s? | SELECT COUNT(s.id) as satellite_count FROM Satellite s INNER JOIN Manufacturer m ON s.manufacturer = m.name WHERE m.country = 'United States' AND s.launch_date BETWEEN '1990-01-01' AND '1999-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Accommodations (id INT, name TEXT, location TEXT, budget DECIMAL(10,2)); INSERT INTO Accommodations (id, name, location, budget) VALUES (1, 'Ramp', 'Texas', 10000.00), (2, 'Elevator', 'Texas', 20000.00), (3, 'Handrail', 'California', 5000.00), (4, 'Ramp', 'California', 12000.00); | What is the number of disability accommodations in each location, and what is the average budget spent on accommodations in each location? | SELECT location, COUNT(*) as num_accommodations, AVG(budget) as avg_budget_per_accommodation FROM Accommodations GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE FinanceAdaptation (Country TEXT, Investment_Amount NUMERIC); INSERT INTO FinanceAdaptation (Country, Investment_Amount) VALUES ('Indonesia', 2500000), ('Thailand', 3000000), ('Malaysia', 2000000); | What is the total climate finance invested in Southeast Asia for climate adaptation? | SELECT SUM(Investment_Amount) FROM FinanceAdaptation WHERE Country IN ('Indonesia', 'Thailand', 'Malaysia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE MusicSales (SaleID INT, ArtistIndependent BOOLEAN, Genre VARCHAR(10), SalesAmount DECIMAL(10,2)); INSERT INTO MusicSales (SaleID, ArtistIndependent, Genre, SalesAmount) VALUES (1, true, 'Jazz', 12.99), (2, false, 'Rock', 15.00), (3, true, 'Pop', 19.45); | What is the total revenue generated from digital music sales by independent artists? | SELECT SUM(SalesAmount) FROM MusicSales WHERE ArtistIndependent = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE circular_supply_chain (product_id INT, source VARCHAR(255), quantity INT);CREATE TABLE ethical_suppliers (supplier_id INT, name VARCHAR(255), country VARCHAR(255), fair_trade BOOLEAN);CREATE TABLE sales (sale_id INT, product_id INT, price DECIMAL(10,2), quantity INT); | What is the total quantity of products in the 'circular_supply_chain' table that are sourced from fair trade suppliers in the 'ethical_suppliers' table and sold in the 'sales' table? | SELECT SUM(s.quantity) FROM sales s JOIN circular_supply_chain c ON s.product_id = c.product_id JOIN ethical_suppliers e ON c.source = e.name WHERE e.fair_trade = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE properties (id INT, city VARCHAR(20), square_footage INT, co_owned BOOLEAN); INSERT INTO properties (id, city, square_footage, co_owned) VALUES (1, 'Seattle', 1800, true); INSERT INTO properties (id, city, square_footage, co_owned) VALUES (2, 'Seattle', 1500, false); | What is the average square footage of co-owned properties in Seattle? | SELECT AVG(square_footage) FROM properties WHERE city = 'Seattle' AND co_owned = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(100), source VARCHAR(50), date DATE); INSERT INTO articles (id, title, source, date) VALUES (1, 'Article 1', 'Source A', '2021-02-01'); INSERT INTO articles (id, title, source, date) VALUES (2, 'Article 2', 'Source B', '2021-02-02'); INSERT INTO articles (id, title, source, ... | What is the total number of articles published in February 2021? | SELECT COUNT(*) as total_articles FROM articles WHERE date BETWEEN '2021-02-01' AND '2021-02-28'; | gretelai_synthetic_text_to_sql |
CREATE TABLE research_paper_dates (id INT, paper_name VARCHAR(255), date DATE); | How many explainable AI research papers have been published in the past 3 years? | SELECT COUNT(*) FROM research_paper_dates WHERE date >= DATEADD(year, -3, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE bookings (booking_id INT, team_id INT, number_of_tickets INT, group_booking BOOLEAN); INSERT INTO bookings (booking_id, team_id, number_of_tickets, group_booking) VALUES (1, 1, 10, true); INSERT INTO bookings (booking_id, team_id, number_of_tickets, group_booking) VALUES (2, 2, 5, false); | Which teams have the highest percentage of ticket sales from group bookings? | SELECT teams.team_name, 100.0 * AVG(CASE WHEN bookings.group_booking THEN bookings.number_of_tickets ELSE 0 END) / SUM(bookings.number_of_tickets) as percentage_group_bookings FROM bookings JOIN teams ON bookings.team_id = teams.team_id GROUP BY teams.team_name ORDER BY percentage_group_bookings DESC; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists genetic;CREATE TABLE if not exists genetic.projects (id INT PRIMARY KEY, name VARCHAR(100), start_date DATE);INSERT INTO genetic.projects (id, name, start_date) VALUES (1, 'ProjectX', '2018-01-01'), (2, 'ProjectY', '2020-05-15'), (3, 'ProjectZ', '2017-08-08'); | What is the number of genetic research projects per year? | SELECT YEAR(start_date) AS year, COUNT(*) AS projects_count FROM genetic.projects GROUP BY year ORDER BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArcticMammals(species VARCHAR(255), population_size FLOAT); | What is the average population size of each Arctic mammal species? | SELECT species, AVG(population_size) FROM ArcticMammals GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE ISRO_Spacecraft (SpacecraftID INT, Name VARCHAR(50), Manufacturer VARCHAR(30), LaunchDate DATETIME, Altitude INT); INSERT INTO ISRO_Spacecraft (SpacecraftID, Name, Manufacturer, LaunchDate, Altitude) VALUES (1, 'Chandrayaan-1', 'ISRO', '2008-10-22', 100000), (2, 'Mangalyaan', 'ISRO', '2013-11-05', 434000),... | What is the maximum altitude reached by a spacecraft built by ISRO? | SELECT MAX(Altitude) FROM ISRO_Spacecraft; | gretelai_synthetic_text_to_sql |
CREATE TABLE IndianRuralHospitals (State VARCHAR(20), HospitalName VARCHAR(50), NumberOfBeds INT); INSERT INTO IndianRuralHospitals (State, HospitalName, NumberOfBeds) VALUES ('State A', 'Hospital A', 50), ('State A', 'Hospital B', 75), ('State B', 'Hospital C', 100), ('State B', 'Hospital D', 125); | What is the maximum number of hospital beds in a rural hospital in India? | SELECT MAX(NumberOfBeds) FROM IndianRuralHospitals WHERE State IN ('State A', 'State B') AND HospitalName IN ('Hospital A', 'Hospital B', 'Hospital C', 'Hospital D'); | gretelai_synthetic_text_to_sql |
CREATE TABLE accessibility_initiatives (initiative_id INT, initiative_name VARCHAR(50), region VARCHAR(50), launch_year INT); INSERT INTO accessibility_initiatives (initiative_id, initiative_name, region, launch_year) VALUES (1, 'AccessInit1', 'APAC', 2017), (2, 'AccessInit2', 'EMEA', 2016), (3, 'AccessInit3', 'APAC', ... | What is the total number of accessible technology initiatives in each region? | SELECT region, COUNT(*) as count FROM accessibility_initiatives GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE game_sessions (session_id INT, player_id INT, game_mode VARCHAR(20), map_id INT); CREATE TABLE maps (map_id INT, map_name VARCHAR(20)); | Update the game_mode column in the game_sessions table to 'Battle Royale' for all sessions on the maps table with the name 'Tropic Island' | UPDATE game_sessions SET game_mode = 'Battle Royale' WHERE map_id IN (SELECT map_id FROM maps WHERE map_name = 'Tropic Island'); | gretelai_synthetic_text_to_sql |
CREATE TABLE alert_rules (id INT, rule_name VARCHAR(255)); INSERT INTO alert_rules (id, rule_name) VALUES (1, 'Unusual outbound traffic'), (2, 'Suspicious login'), (3, 'Malware detection'); CREATE TABLE alerts (id INT, rule_id INT, timestamp DATETIME); INSERT INTO alerts (id, rule_id, timestamp) VALUES (1, 1, '2022-01-... | How many times has the rule "Unusual outbound traffic" been triggered in the last quarter? | SELECT COUNT(*) FROM alerts WHERE rule_id IN (SELECT id FROM alert_rules WHERE rule_name = 'Unusual outbound traffic') AND timestamp >= DATE_SUB(NOW(), INTERVAL 3 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE campaigns_2021 (campaign_id INT, name VARCHAR(50), budget INT, region VARCHAR(50)); INSERT INTO campaigns_2021 (campaign_id, name, budget, region) VALUES (1, 'Mental Health Matters', 15000, 'Northeast'), (2, 'Break the Stigma', 20000, 'Southwest'), (3, 'Healing Hearts', 12000, 'Midwest'); | How many mental health campaigns were launched in 'Southwest' region in 2021? | SELECT COUNT(*) FROM campaigns_2021 WHERE region = 'Southwest'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibits (exhibit_id INT, city VARCHAR(50), tickets_sold INT, price DECIMAL(5,2)); INSERT INTO Exhibits (exhibit_id, city, tickets_sold, price) VALUES (1, 'New York', 500, 25.99), (2, 'Los Angeles', 700, 22.49), (3, 'Chicago', 350, 30.00); | Find the top 3 cities with the highest art exhibit revenue. | SELECT city, SUM(tickets_sold * price) as revenue FROM Exhibits GROUP BY city ORDER BY revenue DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Art_Exhibition (exhibition_id INT, gallery_name VARCHAR(255), year INT, attendance INT); | Find the top 3 most attended exhibitions in the 'Art Gallery' in 2019. | SELECT exhibition_id, gallery_name, attendance FROM Art_Exhibition WHERE gallery_name = 'Art Gallery' AND year = 2019 ORDER BY attendance DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (VolunteerID INT, VolunteerName VARCHAR(50), Age INT, Gender VARCHAR(10), ProgramID INT); INSERT INTO Volunteers (VolunteerID, VolunteerName, Age, Gender, ProgramID) VALUES (10, 'Fatima', 27, 'Female', 5), (11, 'Kevin', 36, 'Male', 6), (12, 'Sofia', 24, 'Female', 7), (13, 'Raul', 42, 'Male', 8),... | Which volunteers have participated in more than one program? | SELECT VolunteerName, COUNT(*) FROM Volunteers GROUP BY VolunteerName HAVING COUNT(*) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Members (MemberID INT, Age INT, FavoriteExercise VARCHAR(20)); CREATE TABLE Wearables (DeviceID INT, MemberID INT, Type VARCHAR(20)); INSERT INTO Members (MemberID, Age, FavoriteExercise) VALUES (1, 35, 'Yoga'); INSERT INTO Members (MemberID, Age, FavoriteExercise) VALUES (2, 28, 'Running'); INSERT INTO We... | How many members have a heart rate monitor as their wearable device? | SELECT COUNT(*) FROM Members JOIN Wearables ON Members.MemberID = Wearables.MemberID WHERE Type = 'Heart Rate Monitor'; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intelligence (id INT, country VARCHAR(50), year INT, threat_level FLOAT); INSERT INTO threat_intelligence (id, country, year, threat_level) VALUES (1, 'USA', 2022, 4.5); INSERT INTO threat_intelligence (id, country, year, threat_level) VALUES (2, 'XYZ', 2022, 3.2); | What is the average threat level for country XYZ in 2022? | SELECT AVG(threat_level) FROM threat_intelligence WHERE country = 'XYZ' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE attractions (id INT PRIMARY KEY, name TEXT, type TEXT); | Insert a new record into the "attractions" table for 'Taj Mahal' with type 'monument' | INSERT INTO attractions (id, name, type) VALUES (3, 'Taj Mahal', 'monument'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Space_Missions (mission_date DATE, continent VARCHAR(255), success BOOLEAN); INSERT INTO Space_Missions (mission_date, continent, success) VALUES ('2020-01-01', 'North America', TRUE), ('2020-02-01', 'Asia', FALSE), ('2020-03-01', 'Europe', TRUE), ('2020-04-01', 'North America', TRUE), ('2020-05-01', 'Afri... | What is the percentage of successful space missions by continent in 2020? | SELECT continent, (COUNT(success) FILTER (WHERE success = TRUE) * 100.0 / COUNT(*)) AS success_percentage FROM Space_Missions WHERE YEAR(mission_date) = 2020 GROUP BY continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE revenue_by_date (date DATE, restaurant VARCHAR(50), revenue INT); INSERT INTO revenue_by_date (date, restaurant, revenue) VALUES ('2022-01-01', 'Restaurant A', 3000), ('2022-01-01', 'Restaurant B', 4000), ('2022-01-01', 'Restaurant C', 5000), ('2022-01-02', 'Restaurant A', 4000), ('2022-01-02', 'Restaurant... | What is the total revenue for each restaurant on a specific date? | SELECT restaurant, SUM(revenue) FROM revenue_by_date WHERE date = '2022-01-01' GROUP BY restaurant; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name VARCHAR(255)); INSERT INTO vessels (id, name) VALUES (1, 'VesselA'), (2, 'VesselB'), (3, 'VesselC'), (4, 'VesselD'), (5, 'VesselE'); CREATE TABLE safety_records (id INT, vessel_id INT, inspection_date DATE, result ENUM('PASS', 'FAIL')); | Add new safety record for VesselE with ID 5 | INSERT INTO safety_records (id, vessel_id, inspection_date, result) VALUES (1, 5, '2022-03-14', 'PASS'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Garments (GarmentID INT, GarmentName VARCHAR(50));CREATE TABLE Manufacturers (ManufacturerID INT, ManufacturerName VARCHAR(50));CREATE TABLE DiscontinuedGarments (GarmentID INT, ManufacturerID INT, DiscontinuedDate DATE); | List the garments that were discontinued and the manufacturers responsible. | SELECT G.GarmentName, M.ManufacturerName FROM Garments G JOIN DiscontinuedGarments DG ON G.GarmentID = DG.GarmentID JOIN Manufacturers M ON DG.ManufacturerID = M.ManufacturerID; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (id INT, building_name VARCHAR(100), country VARCHAR(50)); INSERT INTO green_buildings (id, building_name, country) VALUES (1, 'Green Building 1', 'Canada'), (2, 'Green Building 2', 'Mexico'); | How many green buildings are there in each country in the green_buildings table? | SELECT country, COUNT(*) FROM green_buildings GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Countries (id INT, name VARCHAR(50)); INSERT INTO Countries (id, name) VALUES (1, 'CountryA'), (2, 'CountryB'); CREATE TABLE CarbonOffsetProjects (id INT, country_id INT, name VARCHAR(50), co2_offset FLOAT); INSERT INTO CarbonOffsetProjects (id, country_id, name, co2_offset) VALUES (1, 1, 'ProjectA', 100),... | What is the average CO2 offset for carbon offset projects in a given country? | SELECT Countries.name, AVG(CarbonOffsetProjects.co2_offset) FROM Countries INNER JOIN CarbonOffsetProjects ON Countries.id = CarbonOffsetProjects.country_id GROUP BY Countries.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_projects (id INT PRIMARY KEY, project_name VARCHAR(255), project_location VARCHAR(255), project_type VARCHAR(255), capacity_mw FLOAT, carbon_offsets INT); CREATE TABLE states (state_code CHAR(2), state_name VARCHAR(255)); | Show the top 3 states with the highest average carbon offsets for renewable energy projects. | SELECT project_location, AVG(carbon_offsets) AS avg_carbon_offsets FROM renewable_projects GROUP BY project_location ORDER BY avg_carbon_offsets DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (id INT, square_footage FLOAT, energy_rating INT); | What is the average square footage of properties in the 'green_buildings' table? | SELECT AVG(square_footage) FROM green_buildings; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryEquipmentSales (id INT PRIMARY KEY, year INT, country VARCHAR(50), equipment VARCHAR(50), value FLOAT); INSERT INTO MilitaryEquipmentSales (id, year, country, equipment, value) VALUES (1, 2023, 'Indonesia', 'Helicopters', 8000000); | What is the total value of military equipment sales to Southeast Asian countries in 2023? | SELECT SUM(value) FROM MilitaryEquipmentSales WHERE year = 2023 AND country LIKE 'Southeast%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_data (id INT PRIMARY KEY, name VARCHAR(255), population INT, region VARCHAR(255)); INSERT INTO community_data (id, name, population, region) VALUES (1, 'Community A', 500, 'Arctic'); INSERT INTO community_data (id, name, population, region) VALUES (2, 'Community B', 800, 'Non-Arctic'); INSERT INT... | What is the average population size of indigenous communities in the Arctic region? | SELECT region, AVG(population) AS avg_population FROM community_data WHERE region = 'Arctic' GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE production_2020 (id INT, mine VARCHAR(50), year INT, resource VARCHAR(50), quantity INT); INSERT INTO production_2020 (id, mine, year, resource, quantity) VALUES (1, 'Mine A', 2020, 'Coal', 1000), (2, 'Mine B', 2020, 'Iron Ore', 2000), (3, 'Mine A', 2020, 'Iron Ore', 1500); | What is the total amount of coal produced by each mine in 2020? | SELECT mine, SUM(CASE WHEN resource = 'Coal' THEN quantity ELSE 0 END) AS coal_production FROM production_2020 WHERE year = 2020 GROUP BY mine; | gretelai_synthetic_text_to_sql |
CREATE TABLE ships (name VARCHAR(255), year_decommissioned INT, type VARCHAR(255)); | Delete all records of ships that were decommissioned before 2000 from the Ships table. | DELETE FROM ships WHERE year_decommissioned < 2000; | gretelai_synthetic_text_to_sql |
CREATE TABLE nonprofits (id INT, organization_name VARCHAR(50), country VARCHAR(50), mission_statement TEXT); INSERT INTO nonprofits (id, organization_name, country, mission_statement) VALUES (1, 'Doctors Without Borders', 'Switzerland', 'Provide medical assistance to people in crisis.'); | List the locations with more than 5 nonprofits and the average governance factor for those locations. | SELECT i.location, AVG(e.governance_factor) as avg_gov_factor FROM impact_investments i LEFT JOIN esg_factors e ON i.id = e.investment_id LEFT JOIN nonprofits n ON i.location = n.country GROUP BY i.location HAVING COUNT(DISTINCT n.id) > 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_facilities (id INT, state VARCHAR(20), type VARCHAR(20)); INSERT INTO recycling_facilities (id, state, type) VALUES (1, 'California', 'recycling'), (2, 'New York', 'recycling'), (3, 'California', 'landfill'), (4, 'Texas', 'recycling'); | What is the percentage of recycling facilities that are in the state of California? | SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM recycling_facilities)) AS percentage_of_recycling_facilities FROM recycling_facilities WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_cities.building_energy_consumption (city VARCHAR(50), consumption FLOAT); INSERT INTO smart_cities.building_energy_consumption (city, consumption) VALUES ('Toronto', 4000.0), ('Mumbai', 5000.0), ('Barcelona', 6000.0), ('Rio de Janeiro', 7000.0), ('Melbourne', 8000.0), ('Dublin', 9000.0); | What is the sum of energy consumption for buildings in the 'smart_cities' schema, grouped by city, and only for buildings with consumption > 1500? | SELECT city, SUM(consumption) AS total_consumption FROM smart_cities.building_energy_consumption WHERE consumption > 1500 GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, FirstName VARCHAR(50), LastName VARCHAR(50), UnderrepresentedCommunity VARCHAR(50), HireDate DATE, TerminationDate DATE); INSERT INTO Employees (EmployeeID, FirstName, LastName, UnderrepresentedCommunity, HireDate, TerminationDate) VALUES (1, 'John', 'Doe', 'Yes', '2018-01-01', '... | What is the retention rate of employees from underrepresented communities in the company? | SELECT COUNT(CASE WHEN TerminationDate IS NULL THEN 1 END) / COUNT(*) AS RetentionRate FROM Employees WHERE UnderrepresentedCommunity = 'Yes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, investor VARCHAR(255), amount FLOAT, date DATE); INSERT INTO investments (id, investor, amount, date) VALUES (13, 'Green Endeavors', 110000, '2022-01-15'); INSERT INTO investments (id, investor, amount, date) VALUES (14, 'Green Endeavors', 130000, '2022-03-30'); | What was the total investment amount by 'Green Endeavors' in Q1 2022? | SELECT SUM(amount) FROM investments WHERE investor = 'Green Endeavors' AND date BETWEEN '2022-01-01' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE graduate_students (id INT, student_name VARCHAR(255), department VARCHAR(255)); CREATE TABLE published_papers (id INT, paper_title VARCHAR(255), student_id INT, PRIMARY KEY (id, student_id), FOREIGN KEY (student_id) REFERENCES graduate_students(id)); INSERT INTO graduate_students (id, student_name, departm... | Who are the top 5 graduate students with the most published papers? | SELECT gs.student_name, COUNT(pp.id) as paper_count FROM graduate_students gs JOIN published_papers pp ON gs.id = pp.student_id GROUP BY gs.student_name ORDER BY paper_count DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE FashionTrends (TrendID INT, Name VARCHAR(255), Popularity INT, Category VARCHAR(255)); INSERT INTO FashionTrends (TrendID, Name, Popularity, Category) VALUES (1, 'Floral Prints', 80, 'Top'), (2, 'Stripes', 70, 'Bottom'), (3, 'Sustainable Fabrics', 90, 'General'); | What is the average popularity of sustainable fashion products for each trend category? | SELECT Category, AVG(Popularity) AS AvgPopularity FROM FashionTrends WHERE Category != 'General' GROUP BY Category; | gretelai_synthetic_text_to_sql |
CREATE TABLE geopolitical_risk (id INT, region VARCHAR(30), half INT, year INT, assessment TEXT); INSERT INTO geopolitical_risk (id, region, half, year, assessment) VALUES (1, 'Middle East', 2, 2023, 'High Risk'); INSERT INTO geopolitical_risk (id, region, half, year, assessment) VALUES (2, 'Africa', 2, 2023, 'Medium R... | List all geopolitical risk assessments for the Middle East and Africa region in H2 2023. | SELECT region, assessment FROM geopolitical_risk WHERE region IN ('Middle East', 'Africa') AND half = 2 AND year = 2023; | gretelai_synthetic_text_to_sql |
CREATE TABLE SalesData (VIN VARCHAR(20), Model VARCHAR(20), SalesRegion VARCHAR(20), SalesYear INT); INSERT INTO SalesData (VIN, Model, SalesRegion, SalesYear) VALUES ('AA11BB2233', 'ModelX', 'Asia', 2021), ('CC22DD3344', 'ModelY', 'Europe', 2021); | How many electric vehicles were sold in Asia in 2021? | SELECT COUNT(*) FROM SalesData WHERE SalesYear = 2021 AND SalesRegion = 'Asia' AND Model LIKE '%Electric%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE support_programs (program_id INT, program_name VARCHAR(50), budget INT, region VARCHAR(50)); INSERT INTO support_programs (program_id, program_name, budget, region) VALUES (1, 'Assistive Technology', 50000, 'Northeast'); | What is the maximum, minimum, and average budget for support programs by region? | SELECT region, MAX(budget) as max_budget, MIN(budget) as min_budget, AVG(budget) as avg_budget FROM support_programs GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE SupportPrograms (Id INT, Name VARCHAR(100), Description TEXT, Region VARCHAR(50)); INSERT INTO SupportPrograms (Id, Name, Description, Region) VALUES (1, 'Asia-Pacific Bridge Program', 'Assists students with disabilities transition to college in Asia-Pacific', 'Asia-Pacific'); | What support programs were offered in the Asia-Pacific region? | SELECT * FROM SupportPrograms WHERE Region = 'Asia-Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_stats (state VARCHAR(20), year INT, avg_cost FLOAT); INSERT INTO labor_stats (state, year, avg_cost) VALUES ('California', 2022, 35.4); | What is the average construction labor cost per hour in California in 2022? | SELECT avg_cost FROM labor_stats WHERE state = 'California' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE media.reporters (reporter_id INT, name VARCHAR(100), gender VARCHAR(10), age INT); INSERT INTO media.reporters (reporter_id, name, gender, age) VALUES (1, 'Anne Smith', 'Female', 35), (2, 'Bruce Lee', 'Male', 40), (3, 'Grace Lee', 'Female', 45); | What is the total number of female and male reporters in the 'media' schema? | SELECT gender, COUNT(*) FROM media.reporters GROUP BY gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE explainable_ai_researchers (researcher_name TEXT, num_papers INTEGER); INSERT INTO explainable_ai_researchers (researcher_name, num_papers) VALUES ('Alice', 15), ('Bob', 18), ('Carol', 10); | Who is the researcher with the second-highest number of explainable AI papers? | SELECT researcher_name FROM explainable_ai_researchers ORDER BY num_papers DESC LIMIT 1 OFFSET 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_data (id INT, country VARCHAR(50), destination VARCHAR(50), arrival_date DATE, age INT); INSERT INTO tourism_data (id, country, destination, arrival_date, age) VALUES (19, 'India', 'Japan', '2023-04-02', 31), (20, 'India', 'Japan', '2023-08-17', 29); | Increase the age of tourists visiting Japan from India in 2023 by 1. | UPDATE tourism_data SET age = age + 1 WHERE country = 'India' AND destination = 'Japan' AND YEAR(arrival_date) = 2023; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(100), country VARCHAR(100), last_login DATE); INSERT INTO users (id, name, country, last_login) VALUES (1, 'John Doe', 'USA', '2022-02-15'), (2, 'Jane Smith', 'USA', '2022-03-15'), (3, 'Alex Brown', 'Canada', '2022-03-16'); | Update all the users' last login date to the current date? | UPDATE users SET last_login = CURRENT_DATE; | gretelai_synthetic_text_to_sql |
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