context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
values |
|---|---|---|---|
CREATE TABLE mapping_projects (project_id INT, name VARCHAR(255), area_km FLOAT); | Get the total area of each ocean floor mapping project in square kilometers. | SELECT name, SUM(area_km) AS total_area FROM mapping_projects GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_vehicles (vehicle_id INT, manufacturer VARCHAR(20), has_autonomous_features BOOLEAN); CREATE TABLE accidents (accident_id INT, vehicle_id INT, date DATE); | What is the total number of accidents for vehicles with autonomous driving features? | SELECT COUNT(*) FROM accidents a JOIN autonomous_vehicles av ON a.vehicle_id = av.vehicle_id WHERE av.has_autonomous_features = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE mlb_games (team TEXT, wins INT, year INT); CREATE TABLE nba_games (team TEXT, wins INT, year INT); CREATE TABLE nfl_games (team TEXT, wins INT, year INT); | Which teams have the most wins in the MLB, NBA, and NFL in the last 5 years? | SELECT team, SUM(wins) FROM (SELECT team, wins FROM mlb_games WHERE year BETWEEN 2017 AND 2021 UNION ALL SELECT team, wins FROM nba_games WHERE year BETWEEN 2017 AND 2021 UNION ALL SELECT team, wins FROM nfl_games WHERE year BETWEEN 2017 AND 2021) combined_games GROUP BY team ORDER BY SUM(wins) DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_models (model_name TEXT, explainable_ai_technique TEXT, usage_count INT); INSERT INTO ai_models (model_name, explainable_ai_technique, usage_count) VALUES ('ModelA', 'Feature Importance', 20), ('ModelA', 'SHAP', 15), ('ModelB', 'Partial Dependence Plot', 18), ('ModelB', 'Feature Importance', 25); | Which explainable AI techniques were used in each AI model and how many times were they used? | SELECT model_name, explainable_ai_technique, usage_count FROM ai_models; | gretelai_synthetic_text_to_sql |
CREATE TABLE artifact_categories (category_id INT, category_name TEXT); INSERT INTO artifact_categories (category_id, category_name) VALUES (1, 'Pottery'), (2, 'Stone Tools'), (3, 'Jewelry'); CREATE TABLE artifacts (artifact_id INT, site_id INT, category_id INT, weight FLOAT); INSERT INTO artifacts (artifact_id, site_i... | What is the total weight of all artifacts in the 'Stone' category from the 'Peru' excavation sites? | SELECT SUM(weight) as total_weight FROM artifacts a JOIN excavation_sites s ON a.site_id = s.site_id WHERE s.country = 'Peru' AND a.category_id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE wearable_owners (member_id INT, has_wearable BOOLEAN); | List all members who have attended a workout and own a wearable device | SELECT DISTINCT m.member_id FROM member_profiles m INNER JOIN wearable_owners wo ON m.member_id = wo.member_id INNER JOIN workout_records wr ON m.member_id = wr.member_id WHERE wo.has_wearable = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_building_projects (project_id INT, project_name VARCHAR(100), state VARCHAR(50), completion_year INT); INSERT INTO sustainable_building_projects (project_id, project_name, state, completion_year) VALUES (1, 'GreenTowers', 'California', 2021), (2, 'EcoHQ', 'Texas', 2020), (3, 'SolarVilla', 'Wash... | What is the count of sustainable building projects with a completion year after 2019? | SELECT COUNT(*) FROM sustainable_building_projects WHERE completion_year > 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE AutonomousDrivingGrants (Id INT, Country VARCHAR(255), Amount FLOAT, Year INT); INSERT INTO AutonomousDrivingGrants (Id, Country, Amount, Year) VALUES (1, 'USA', 1000000, 2021), (2, 'Canada', 800000, 2021), (3, 'Germany', 1200000, 2021), (4, 'Japan', 900000, 2021); | What are the total autonomous driving research grants awarded by country in 2021? | SELECT Country, SUM(Amount) AS TotalGrants FROM AutonomousDrivingGrants WHERE Year = 2021 GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Chemicals (Id INT, Name VARCHAR(255), Manufacturing_Country VARCHAR(255)); CREATE TABLE Safety_Protocols (Id INT, Chemical_Id INT, Safety_Measure VARCHAR(255)); INSERT INTO Chemicals (Id, Name, Manufacturing_Country) VALUES (1, 'Potassium Chloride', 'Germany'); INSERT INTO Safety_Protocols (Id, Chemical_Id... | What safety measures are required for handling chemicals manufactured in Germany? | SELECT Chemicals.Name, Safety_Protocols.Safety_Measure FROM Chemicals INNER JOIN Safety_Protocols ON Chemicals.Id = Safety_Protocols.Chemical_Id WHERE Chemicals.Manufacturing_Country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Suppliers (id INT, name TEXT, community TEXT); INSERT INTO Suppliers VALUES (1, 'Supplier1', 'Indigenous'), (2, 'Supplier2', 'Black-owned'), (3, 'Supplier3', 'Women-owned'), (4, 'Supplier4', 'LGBTQ+'), (5, 'Supplier5', 'Refugee-owned'); CREATE TABLE SustainableMaterials (id INT, supplier_id INT, material T... | List the names of suppliers from historically underrepresented communities that provide sustainable materials. | SELECT s.name FROM Suppliers s INNER JOIN SustainableMaterials sm ON s.id = sm.supplier_id WHERE s.community IN ('Indigenous', 'Black-owned', 'Women-owned', 'LGBTQ+', 'Refugee-owned'); | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_forest(country VARCHAR(255), area INT); INSERT INTO sustainable_forest(country, area) VALUES ('Canada', 120000), ('USA', 90000), ('Brazil', 70000), ('Indonesia', 60000); | How many hectares of forest are managed sustainably in the entire dataset? | SELECT SUM(area) FROM sustainable_forest; | gretelai_synthetic_text_to_sql |
CREATE TABLE cybersecurity_strategies (year INT, strategy_name TEXT); INSERT INTO cybersecurity_strategies (year, strategy_name) VALUES (2018, 'Firewall Implementation'), (2019, 'Intrusion Detection'), (2020, 'Penetration Testing'), (2021, 'Security Information and Event Management'); | Which cybersecurity strategies were implemented in 'year_2020' from the 'cybersecurity_strategies' table? | SELECT strategy_name FROM cybersecurity_strategies WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_impact (city TEXT, economic_impact INT); INSERT INTO tourism_impact (city, economic_impact) VALUES ('Venice', 1500000), ('Rome', 2000000); | What is the local economic impact of tourism in Venice? | SELECT economic_impact FROM tourism_impact WHERE city = 'Venice'; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (hotel_id INT, views INT, clicks INT); CREATE TABLE hotels_geo (id INT PRIMARY KEY, hotel_id INT, country VARCHAR(255)); | What is the total number of virtual tour views for hotels in 'Canada'? | SELECT SUM(views) FROM virtual_tours v JOIN hotels_geo hg ON v.hotel_id = hg.hotel_id WHERE hg.country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_treatment_methods (id INT, name VARCHAR(255), state VARCHAR(255)); INSERT INTO waste_treatment_methods (id, name, state) VALUES (1, 'Landfill', 'California'), (2, 'Incineration', 'California'), (3, 'Recycling', 'California'), (4, 'Composting', 'California'); CREATE TABLE co2_emissions (treatment_meth... | What is the total CO2 emissions for each waste treatment method in the state of California? | SELECT wtm.name as treatment_method, SUM(ce.emissions) as total_emissions FROM waste_treatment_methods wtm JOIN co2_emissions ce ON wtm.id = ce.treatment_method_id WHERE wtm.state = 'California' GROUP BY wtm.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE staff (id INT PRIMARY KEY, name VARCHAR(255), role VARCHAR(255), department VARCHAR(255)); INSERT INTO staff (id, name, role, department) VALUES (1, 'Eve', 'Data Manager', 'climate_adaptation'), (2, 'Frank', 'Project Manager', 'climate_mitigation'), (3, 'Grace', 'Finance Analyst', 'climate_finance'), (4, '... | Who is responsible for climate adaptation data? | SELECT name FROM staff WHERE role = 'Data Manager' AND department = 'climate_adaptation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE lifelong_learning (id INT, program_name VARCHAR(50), start_date DATE, gender VARCHAR(10)); INSERT INTO lifelong_learning (id, program_name, start_date, gender) VALUES (1, 'Explore 101', '2022-01-01', 'Female'), (2, 'Discover 202', '2021-10-15', 'Male'); | How many lifelong learning programs started by gender? | SELECT gender, COUNT(*) FROM lifelong_learning GROUP BY gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, network_type VARCHAR(10), state VARCHAR(20)); INSERT INTO mobile_subscribers (subscriber_id, network_type, state) VALUES (1, '4G', 'WA'), (2, '3G', 'NY'), (3, '4G', 'WA'), (4, '5G', 'CA'), (5, '3G', 'NY'); | What is the percentage of mobile subscribers who are using 4G or higher network in each state? | SELECT state, 100.0 * SUM(CASE WHEN network_type IN ('4G', '5G') THEN 1 ELSE 0 END) / COUNT(*) as pct_4g_or_higher FROM mobile_subscribers GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_hours (project_id INT, state VARCHAR(2), building_type VARCHAR(20), labor_hours INT); INSERT INTO labor_hours (project_id, state, building_type, labor_hours) VALUES (1, 'TX', 'Residential', 1500), (2, 'TX', 'Residential', 1600), (3, 'TX', 'Commercial', 2000); | How many hours of labor are required on average to complete a sustainable residential building project in Texas? | SELECT AVG(labor_hours) FROM labor_hours WHERE state = 'TX' AND building_type = 'Residential'; | gretelai_synthetic_text_to_sql |
CREATE TABLE UnionMembership (id INT, sector VARCHAR(255), members INT); INSERT INTO UnionMembership (id, sector, members) VALUES (1, 'Transportation', 7000); | What is the total number of Union members in the Transportation sector? | SELECT SUM(members) FROM UnionMembership WHERE sector = 'Transportation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Concerts (year INT, revenue FLOAT); INSERT INTO Concerts (year, revenue) VALUES (2018, 1000000), (2019, 1500000), (2020, 800000), (2021, 1200000); | What was the total revenue for concert ticket sales in 2020? | SELECT SUM(revenue) FROM Concerts WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, open_date DATE, close_date DATE); INSERT INTO cases (case_id, open_date, close_date) VALUES (1, '2022-04-01', '2022-04-15'), (2, '2022-05-01', NULL), (3, '2022-02-01', '2022-02-28'); | How many cases have been opened and closed in the last 3 months? | SELECT COUNT(*) FROM cases WHERE open_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) AND (close_date IS NULL OR close_date < DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH)); | gretelai_synthetic_text_to_sql |
CREATE TABLE Hospitals (HospitalID INT, CulturalCompetencyScore DECIMAL(5,2), HospitalSystem VARCHAR(255), ReportDate DATE); INSERT INTO Hospitals (HospitalID, CulturalCompetencyScore, HospitalSystem, ReportDate) VALUES (1, 85.6, 'Mount Sinai Health System', '2022-01-01'); INSERT INTO Hospitals (HospitalID, CulturalCom... | What is the cultural competency score for each hospital system in the last quarter? | SELECT ReportDate, CulturalCompetencyScore, HospitalSystem FROM Hospitals WHERE ReportDate >= DATEADD(quarter, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_cities (city_name TEXT, adoption_date DATE, budget INT, location TEXT); INSERT INTO smart_cities (city_name, adoption_date, budget, location) VALUES ('Nairobi', '2020-01-01', 8000000, 'Africa'), ('Accra', '2019-06-15', 12000000, 'Africa'), ('Cairo', '2018-09-20', 3000000, 'Africa'); | What are the adoption dates for smart city technologies in cities with budgets less than $5 million in Africa? | SELECT city_name, adoption_date FROM smart_cities WHERE budget < 5000000 AND location = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id INT, name VARCHAR(50), last_name VARCHAR(50), career_home_runs INT); INSERT INTO players (player_id, name, last_name, career_home_runs) VALUES (1, 'Hank', 'Aaron', 755), (2, 'Babe', 'Ruth', 714); | Which players have the most home runs in their career? | SELECT last_name, career_home_runs FROM players ORDER BY career_home_runs DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_patents (country VARCHAR(50), patent_number INTEGER); INSERT INTO military_patents (country, patent_number) VALUES ('USA', 12345), ('USA', 67890), ('UK', 34567), ('Canada', 90123), ('Australia', 45678); | Find the total number of military innovation patents filed by the USA and its allies? | SELECT SUM(patent_number) FROM military_patents WHERE country IN ('USA', 'UK', 'Canada', 'Australia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE DispensaryStrainPrices (DispensaryName TEXT, StrainName TEXT, PricePerPound FLOAT); INSERT INTO DispensaryStrainPrices (DispensaryName, StrainName, PricePerPound) VALUES ('Euphoria', 'Gelato', 2000.00), ('Elevate', 'Gelato', 2100.00), ('Essence', 'Gelato', 1900.00); | How can I update the price of a specific strain in all dispensaries? | UPDATE DispensaryStrainPrices SET PricePerPound = 2200.00 WHERE StrainName = 'Gelato'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name TEXT, region TEXT); INSERT INTO donors (id, name, region) VALUES (1, 'John Doe', 'Asia'), (2, 'Jane Smith', 'Europe'), (3, 'Pedro Alvarez', 'Americas'), (4, 'Sophia Lee', 'Asia'), (5, 'Ali Mohammed', 'Africa'); | What's the total number of donors from each region? | SELECT region, COUNT(*) FROM donors GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE pakistan_projects (org_id INT, org_name VARCHAR(50), project_type VARCHAR(30), project_value INT); INSERT INTO pakistan_projects (org_id, org_name, project_type, project_value) VALUES (1, 'World Bank', 'infrastructure', 2000000), (2, 'ADB', 'infrastructure', 1500000), (3, 'EU', 'education', 1000000); CREAT... | What is the total value of infrastructure projects in Pakistan and Nepal funded by international organizations? | SELECT SUM(p.project_value + n.project_value) FROM pakistan_projects p INNER JOIN nepal_projects n ON p.org_name = n.org_name AND p.project_type = n.project_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE nasa_missions (id INT, mission_cost FLOAT); | What is the total cost of all NASA missions? | SELECT SUM(mission_cost) FROM nasa_missions; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, supplier_name TEXT, country TEXT); INSERT INTO suppliers (supplier_id, supplier_name, country) VALUES (1, 'Supplier 4', 'Brazil'), (2, 'Supplier 5', 'India'), (3, 'Supplier 6', 'Germany'), (4, 'Supplier 7', 'Japan'); CREATE TABLE certifications (certification_id INT, supplier_id... | Display the number of distinct certifications held by each supplier, arranged in descending order by the count? | SELECT suppliers.supplier_name, COUNT(DISTINCT certifications.certification_type) AS certification_count FROM suppliers JOIN certifications ON suppliers.supplier_id = certifications.supplier_id GROUP BY suppliers.supplier_name ORDER BY certification_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE national_security_budget (id INT, country TEXT, budget INT, region TEXT); INSERT INTO national_security_budget (id, country, budget, region) VALUES (1, 'USA', 10000000, 'North America'), (2, 'Canada', 8000000, 'North America'); | What is the total budget for national security in the North American region and the budget for each country? | SELECT ns.region, ns.country, AVG(ns.budget) as avg_budget FROM national_security_budget ns GROUP BY ns.region, ns.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE UpcycledClothing (id INT, revenue DECIMAL); | What is the total revenue generated by upcycled clothing sales? | select sum(revenue) from UpcycledClothing; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, price DECIMAL(5,2), is_cruelty_free BOOLEAN); INSERT INTO products (product_id, price, is_cruelty_free) VALUES (1, 25.99, true), (2, 30.99, false), (3, 15.99, true), (4, 35.99, true), (5, 12.99, false); | Get the number of cruelty-free products with a price above $30. | SELECT COUNT(*) FROM products WHERE is_cruelty_free = true AND price > 30; | gretelai_synthetic_text_to_sql |
CREATE TABLE visit_summary (destination_code CHAR(5), year INT, visitor_count INT); INSERT INTO visit_summary VALUES ('PARIS', 2020, 600), ('PARIS', 2021, 700), ('LOND', 2020, 550), ('LOND', 2021, 650); | What is the percentage change in visitor count for each destination between 2020 and 2021? | SELECT destination_code, ((visitor_count_2021 - visitor_count_2020) * 100.0 / NULLIF(visitor_count_2020, 0)) AS percentage_change FROM (SELECT destination_code, SUM(CASE WHEN year = 2021 THEN visitor_count ELSE 0 END) AS visitor_count_2021, SUM(CASE WHEN year = 2020 THEN visitor_count ELSE 0 END) AS visitor_count_2020 ... | gretelai_synthetic_text_to_sql |
CREATE TABLE event_dates (event_date DATE, event_id INT); | What is the total number of tickets sold by date for a specific event? | SELECT e.event_name, COUNT(t.ticket_id) FROM event_dates ed JOIN tickets t ON ed.event_date = t.event_date JOIN events e ON t.event_id = e.event_id WHERE e.event_id = 1 GROUP BY ed.event_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE SportsCars (VIN VARCHAR(20), Model VARCHAR(20), Horsepower INT, ProductionYear INT); INSERT INTO SportsCars (VIN, Model, Horsepower, ProductionYear) VALUES ('AA11BB2233', 'ModelX', 500, 2022), ('CC22DD3344', 'ModelY', 600, 2022); | What is the maximum horsepower of sports cars released in 2022? | SELECT MAX(Horsepower) FROM SportsCars WHERE ProductionYear = 2022 AND Model LIKE '%Sports Car%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (Employee_ID INT, Department VARCHAR(50), Salary DECIMAL(5,2)); INSERT INTO Employees (Employee_ID, Department, Salary) VALUES (1, 'Engineering', 80000.00), (2, 'Marketing', 65000.00), (3, 'Engineering', 85000.00), (4, 'Marketing', 70000.00); | What are the average salaries for employees in the 'Engineering' department, compared to those in the 'Marketing' department? | SELECT AVG(Salary) FROM Employees WHERE Department = 'Engineering' UNION ALL SELECT AVG(Salary) FROM Employees WHERE Department = 'Marketing' | gretelai_synthetic_text_to_sql |
CREATE TABLE unions (id INT, name VARCHAR(255), industry VARCHAR(255), member_age INT); INSERT INTO unions (id, name, industry, member_age) VALUES (1, 'Union A', 'healthcare', 40), (2, 'Union B', 'healthcare', 45), (3, 'Union C', 'healthcare', 35); | What is the average age of all members in unions with a 'healthcare' industry classification? | SELECT AVG(member_age) FROM unions WHERE industry = 'healthcare'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA IF NOT EXISTS arctic_db; CREATE TABLE IF NOT EXISTS arctic_animals (id INT PRIMARY KEY, species TEXT, population INT); | Add a new species to the arctic_animals table | INSERT INTO arctic_animals (id, species, population) VALUES (1, 'polar bear cub', 500); | gretelai_synthetic_text_to_sql |
CREATE TABLE user_posts (user_id INT, age INT, country VARCHAR(255), brand VARCHAR(255)); | What are the top 5 most mentioned brands in user posts from users aged 18-24 in the USA? | SELECT brand, COUNT(*) AS mentions FROM user_posts WHERE age BETWEEN 18 AND 24 AND country = 'USA' GROUP BY brand LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE sites (id INT, name TEXT, country TEXT, admission_fee FLOAT); INSERT INTO sites (id, name, country, admission_fee) VALUES (1, 'Alhambra', 'Spain', 15), (2, 'Sagrada Familia', 'Spain', 20); | Update the admission fee for the 'Alhambra' in Spain to 18 Euros. | UPDATE sites SET admission_fee = 18 WHERE name = 'Alhambra' AND country = 'Spain'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Equipment (id INT, equipment_type VARCHAR(255), manufacturer VARCHAR(255), production_year INT, unit_cost DECIMAL(10,2)); CREATE TABLE Shipments (id INT, equipment_type VARCHAR(255), quantity INT, destination VARCHAR(255), delivery_date DATE, equipment_id INT); INSERT INTO Equipment (id, equipment_type, ma... | What is the total cost of all shipments to the UK? | SELECT Equipment.equipment_type, (Equipment.unit_cost * Shipments.quantity) AS total_cost FROM Equipment INNER JOIN Shipments ON Equipment.id = Shipments.equipment_id WHERE Shipments.destination = 'UK'; | gretelai_synthetic_text_to_sql |
CREATE TABLE news_articles (article_id INT PRIMARY KEY, title TEXT, topic TEXT, author TEXT, publication_date DATE); | What is the earliest publication date for each topic? | SELECT topic, MIN(publication_date) FROM news_articles GROUP BY topic; | gretelai_synthetic_text_to_sql |
CREATE TABLE european_conservation_areas (id INT, name VARCHAR(255), country VARCHAR(255)); CREATE TABLE community_education_programs (id INT, conservation_area_id INT, program_type VARCHAR(255), date DATE, attendees INT); | How many community education programs were conducted in the European conservation areas, broken down by country and program type? | SELECT eca.country, pe.program_type, COUNT(pe.id) as program_count FROM european_conservation_areas eca JOIN community_education_programs pe ON eca.id = pe.conservation_area_id GROUP BY eca.country, pe.program_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE ProgramBudget (ProgramID int, ProgramName varchar(50), BudgetAmount numeric, BudgetYear int); | What was the total budget for each program in the year 2020? | SELECT ProgramName, SUM(BudgetAmount) as TotalBudget FROM ProgramBudget WHERE BudgetYear = 2020 GROUP BY ProgramName; | gretelai_synthetic_text_to_sql |
CREATE TABLE Accidents (Id INT, VesselId INT, Date DATE, Injuries INT); INSERT INTO Accidents (Id, VesselId, Date, Injuries) VALUES (2, 2, '2021-02-01', 2); | List all accidents for vessels from Indonesia, if any. | SELECT V.Name, A.Date, A.Injuries FROM Vessels V INNER JOIN Accidents A ON V.Id = A.VesselId WHERE V.Flag = 'Indonesia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fishing_vessels (id INT, name VARCHAR(255), location VARCHAR(255), length FLOAT); INSERT INTO fishing_vessels (id, name, location, length) VALUES (1, 'Indian Ocean Tuna Fleet', 'Indian Ocean', 500); INSERT INTO fishing_vessels (id, name, location, length) VALUES (2, 'South Pacific Squid Fleet', 'South Paci... | What is the total number of fishing vessels in the Indian Ocean and South Pacific regions? | SELECT SUM(length) FROM fishing_vessels WHERE location IN ('Indian Ocean', 'South Pacific'); | gretelai_synthetic_text_to_sql |
CREATE TABLE DonorHistory (donor_id INT, donation_date DATE, donation_amount DECIMAL(10,2)); INSERT INTO DonorHistory (donor_id, donation_date, donation_amount) VALUES (1, '2021-01-01', 50.00), (1, '2021-02-01', 100.00), (2, '2021-03-01', 25.00); | What was the total number of donations made by each donor in '2021'? | SELECT donor_id, COUNT(*) AS total_donations FROM DonorHistory WHERE YEAR(donation_date) = 2021 GROUP BY donor_id; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA asia; CREATE TABLE asia.hotels (hotel_id INT, hotel_name VARCHAR(50), city VARCHAR(50), country VARCHAR(50)); | What is the number of hotels in each city for the asia schema? | SELECT city, COUNT(*) FROM asia.hotels GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE africa_tourism (country VARCHAR(50), year INT, ecotourism_visitors INT); INSERT INTO africa_tourism (country, year, ecotourism_visitors) VALUES ('Kenya', 2025, 500000), ('Tanzania', 2025, 400000), ('South Africa', 2025, 600000), ('Namibia', 2025, 300000), ('Botswana', 2025, 350000); | Find the top 3 most visited African countries for ecotourism in 2025. | SELECT country, ecotourism_visitors FROM africa_tourism WHERE year = 2025 ORDER BY ecotourism_visitors DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE project_types (project_id INT, name VARCHAR(50), location VARCHAR(50), project_type VARCHAR(50)); INSERT INTO project_types (project_id, name, location, project_type) VALUES (1, 'India Project 1', 'India', 'Solar'); | List all the projects in India with their types | SELECT * FROM project_types WHERE location = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Budget(Year INT, Service VARCHAR(20), Budget FLOAT); INSERT INTO Budget VALUES(2020, 'Education', 15000000), (2020, 'Healthcare', 20000000); | What is the total budget allocated for education and healthcare services in 2020? | SELECT SUM(Budget) FROM Budget WHERE Year = 2020 AND Service IN ('Education', 'Healthcare'); | gretelai_synthetic_text_to_sql |
CREATE TABLE MentalHealthParity (LawID INT PRIMARY KEY, LawName TEXT, LawDescription TEXT, PassedDate DATE); INSERT INTO MentalHealthParity (LawID, LawName, LawDescription, PassedDate) VALUES (1, 'Parity Act 2020', 'Requires insurers to cover mental health at the same level as physical health', '2020-01-01'); | Update mental health parity laws description | UPDATE MentalHealthParity SET LawDescription = 'Requires insurers to cover mental and behavioral health equally with physical health' WHERE LawName = 'Parity Act 2020'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy (country VARCHAR(50), year INT, solar_generation FLOAT, wind_generation FLOAT, hydro_generation FLOAT); | Insert new records for renewable energy generation in 2021 for Australia, India, and Brazil | INSERT INTO renewable_energy (country, year, solar_generation, wind_generation, hydro_generation) VALUES ('Australia', 2021, 25.6, 12.8, 38.9), ('India', 2021, 45.3, 32.1, 118.4), ('Brazil', 2021, 18.7, 14.6, 321.5); | gretelai_synthetic_text_to_sql |
CREATE TABLE wind_farms (id INT, country VARCHAR(255), name VARCHAR(255), capacity FLOAT, start_date DATE, end_date DATE); INSERT INTO wind_farms (id, country, name, capacity, start_date, end_date) VALUES (4, 'France', 'Windfarm C', 60.5, '2021-01-01', '2026-12-31'), (5, 'France', 'Windfarm D', 45.3, '2022-01-01', '202... | Delete all wind farms in France from the 'wind_farms' table that have an installed capacity of more than 55.0 | DELETE FROM wind_farms WHERE country = 'France' AND capacity > 55.0; | gretelai_synthetic_text_to_sql |
CREATE TABLE broadband_subscribers (subscriber_id INT PRIMARY KEY, country_code CHAR(3), data_usage FLOAT); INSERT INTO broadband_subscribers (subscriber_id, country_code, data_usage) VALUES (1, 'USA', 50.0), (2, 'USA', 60.0), (3, 'CAN', 80.0), (4, 'CAN', 90.0); | What is the average monthly data usage per customer in each country? | SELECT s.country_code, AVG(s.data_usage) as avg_data_usage FROM broadband_subscribers s GROUP BY s.country_code; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtCollection (id INT, artist VARCHAR(50), title VARCHAR(100), year INT, type VARCHAR(50), PRIMARY KEY (id)); | Delete all records with 'Unknown' artists from the 'ArtCollection' table. | DELETE FROM ArtCollection WHERE artist = 'Unknown'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Spacecraft_Missions_Count (id INT, spacecraft_id INT, astronaut_id INT, mission_name VARCHAR(100), mission_date DATE); INSERT INTO Spacecraft_Missions_Count (id, spacecraft_id, astronaut_id, mission_name, mission_date) VALUES (1, 1, 1, 'Apollo 11', '1969-07-16'); | List astronauts who have flown spacecraft with the most missions, along with the number of missions. | SELECT astronaut_id, COUNT(*) as mission_count FROM Spacecraft_Missions_Count GROUP BY astronaut_id ORDER BY mission_count DESC LIMIT 1 | gretelai_synthetic_text_to_sql |
CREATE TABLE SafetyIncidents (id INT, vessel_id INT, incident_type VARCHAR(20), incident_time TIMESTAMP); INSERT INTO SafetyIncidents (id, vessel_id, incident_type, incident_time) VALUES (1, 101, 'Equipment Failure', '2021-03-11 09:30:00'); | Count the number of safety incidents for each vessel in the SafetyIncidents table, for the first half of 2021. | SELECT vessel_id, COUNT(*) as num_incidents FROM SafetyIncidents WHERE incident_time > '2021-01-01 00:00:00' AND incident_time < '2021-07-01 00:00:00' GROUP BY vessel_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, case_number VARCHAR(50), client_name VARCHAR(50), attorney_id INT); CREATE TABLE billing (billing_id INT, attorney_id INT, client_id INT, hours_billed INT, billing_rate DECIMAL(5,2)); | List the names and case numbers of cases in 'cases' table that have billing records in 'billing' table | SELECT cases.case_number, cases.client_name FROM cases INNER JOIN billing ON cases.attorney_id = billing.attorney_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE flights (id INT, flight_type VARCHAR(50), flight_hours DECIMAL(10,2), flight_date DATE); | Delete all test flight records that occurred before 2010 | DELETE FROM flights WHERE flight_type = 'Test Flight' AND flight_date < '2010-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, name VARCHAR(255), department VARCHAR(255), country VARCHAR(255)); CREATE TABLE training (id INT, employee_id INT, course VARCHAR(255)); INSERT INTO employees (id, name, department, country) VALUES (1, 'John Doe', 'IT', 'USA'); INSERT INTO employees (id, name, department, country) VALUES... | How many employees from each department have completed the 'Cybersecurity' course in the 'training' table? | SELECT e.department, COUNT(t.id) FROM employees e JOIN training t ON e.id = t.employee_id WHERE t.course = 'Cybersecurity' GROUP BY e.department; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists bioprocess; USE bioprocess; CREATE TABLE if not exists engineering_projects (id INT PRIMARY KEY, project_name VARCHAR(255), budget FLOAT); INSERT INTO engineering_projects (id, project_name, budget) VALUES (1, 'Bio-Manufacturing Plant', 15000000.00), (2, 'Wastewater Treatment', 8000000.00), ... | What is the minimum budget for bioprocess engineering projects in Europe? | SELECT MIN(budget) FROM bioprocess.engineering_projects WHERE region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE media_content (id INT, title VARCHAR(255), release_year INT, runtime INT, genre VARCHAR(255), format VARCHAR(50), country VARCHAR(255), director VARCHAR(255)); | What is the total runtime of movies and TV shows produced in Africa, and how many unique directors are there? | SELECT country, SUM(runtime) AS total_runtime, COUNT(DISTINCT director) AS unique_directors FROM media_content WHERE country LIKE '%Africa%' GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_manufacturing (garment_id INT, garment_type VARCHAR(50), production_date DATE, units_manufactured INT); CREATE TABLE garments (garment_id INT, garment_name VARCHAR(50)); | What is the number of units manufactured for each garment type by month in 2022? | SELECT garment_type, EXTRACT(MONTH FROM production_date) AS month, SUM(units_manufactured) FROM garment_manufacturing JOIN garments ON garment_manufacturing.garment_id = garments.garment_id WHERE EXTRACT(YEAR FROM production_date) = 2022 GROUP BY garment_type, month; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT, species_name VARCHAR(255), location VARCHAR(255)); INSERT INTO marine_species (id, species_name, location) VALUES (1, 'Crabeater Seal', 'Southern Ocean'); | How many marine species have been identified in the Southern Ocean? | SELECT COUNT(*) FROM marine_species WHERE marine_species.location = 'Southern Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity_reports (report_id INT, state VARCHAR(255), year INT, total_complaints INT); | Insert a new mental health parity report for the state of Illinois in 2022 | INSERT INTO mental_health_parity_reports (report_id, state, year, total_complaints) VALUES (4, 'Illinois', 2022, 225); | gretelai_synthetic_text_to_sql |
CREATE TABLE workforce_diversity (id INT, state VARCHAR(50), position VARCHAR(50), gender VARCHAR(50)); INSERT INTO workforce_diversity (id, state, position, gender) VALUES (1, 'Nevada', 'Miner', 'Female'); INSERT INTO workforce_diversity (id, state, position, gender) VALUES (2, 'Nevada', 'Miner', 'Male'); INSERT INTO ... | What is the percentage of female workers in mining operations in the state of Nevada? | SELECT (COUNT(*) FILTER (WHERE gender = 'Female')) * 100.0 / COUNT(*) FROM workforce_diversity WHERE state = 'Nevada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Meals (MealID INT, MealName VARCHAR(50), Region VARCHAR(50), Calories INT); INSERT INTO Meals (MealID, MealName, Region, Calories) VALUES (1, 'Spaghetti Bolognese', 'Europe', 650), (2, 'Chicken Tikka Masala', 'Asia', 850); | Which region has the highest total calorie count? | SELECT Region, SUM(Calories) as TotalCalories FROM Meals GROUP BY Region ORDER BY TotalCalories DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE solar_power (country VARCHAR(20), capacity INT); INSERT INTO solar_power (country, capacity) VALUES ('Spain', 12000), ('Spain', 15000), ('Italy', 8000), ('Italy', 11000), ('Italy', 14000); | Count the number of solar power plants in Spain and Italy with a capacity greater than 10 MW? | SELECT COUNT(*) FROM solar_power WHERE country IN ('Spain', 'Italy') AND capacity > 10000; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(50), category VARCHAR(20), author_id INT); INSERT INTO articles (id, title, category, author_id) VALUES (1, 'Oil Prices Rising', 'politics', 1), (2, 'Government Corruption', 'politics', 2), (3, 'Baseball Game', 'sports', 3), (4, 'Football Match', 'sports', 1); CREATE TABLE a... | What is the total number of articles about politics and sports, and which reporters wrote them? | SELECT COUNT(articles.id), authors.name FROM articles INNER JOIN authors ON articles.author_id = authors.id WHERE articles.category IN ('politics', 'sports') GROUP BY authors.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE neighborhoods (id INT, name TEXT);CREATE TABLE crimes (id INT, neighborhood_id INT, date DATE); | How many crimes were committed in each neighborhood in the last month? | SELECT n.name, COUNT(c.id) FROM neighborhoods n JOIN crimes c ON n.id = c.neighborhood_id WHERE c.date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY n.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE artist_revenue (artist VARCHAR(255), revenue FLOAT); INSERT INTO artist_revenue (artist, revenue) VALUES ('Taylor Swift', 6000000), ('BTS', 3000000), ('Billie Eilish', 6000000), ('Ariana Grande', 4000000), ('The Weeknd', 2000000), ('Dua Lipa', 2500000); | Who is the top selling artist by total revenue? | SELECT artist, revenue FROM artist_revenue ORDER BY revenue DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouse (id INT, city VARCHAR(20), capacity INT); INSERT INTO warehouse (id, city, capacity) VALUES (1, 'Chicago', 1000), (2, 'Houston', 1500), (3, 'Miami', 800); | Delete records from the "warehouse" table where the "city" is "Chicago" | DELETE FROM warehouse WHERE city = 'Chicago'; | gretelai_synthetic_text_to_sql |
CREATE TABLE regulatory_compliance (compliance_id INT, vessel_name VARCHAR(50), compliance_status VARCHAR(50)); INSERT INTO regulatory_compliance (compliance_id, vessel_name, compliance_status) VALUES (1, 'VesselA', 'Non-compliant'), (2, 'VesselB', 'Compliant'), (3, 'VesselC', 'Non-compliant'); | Which vessels have regulatory compliance issues in the 'regulatory_compliance' table? | SELECT vessel_name FROM regulatory_compliance WHERE compliance_status = 'Non-compliant'; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_generation_trend (country VARCHAR(50), year INT, waste_quantity INT); INSERT INTO waste_generation_trend (country, year, waste_quantity) VALUES ('India', 2018, 12000), ('India', 2019, 13000), ('India', 2020, 14000), ('India', 2021, 15000); | What is the waste generation trend in India from 2018 to 2021? | SELECT year, waste_quantity, (LAG(waste_quantity) OVER (ORDER BY year)) AS previous_year_waste FROM waste_generation_trend WHERE country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (id INT, program_name VARCHAR(50), budget_category VARCHAR(50)); CREATE TABLE Budget (id INT, budget_category VARCHAR(50), budget_amount DECIMAL(10,2), budget_date DATE); | List all unique program names and their associated budget categories. | SELECT DISTINCT Programs.program_name, Programs.budget_category FROM Programs; | gretelai_synthetic_text_to_sql |
CREATE TABLE audience_demographics (article_id INT, category VARCHAR(30), word_count INT, age INT, gender VARCHAR(10)); INSERT INTO audience_demographics (article_id, category, word_count, age, gender) VALUES (1, 'Politics', 500, 30, 'Male'), (2, 'Sports', 700, 25, 'Female'), (3, 'Politics', 800, 35, 'Non-binary'); | Which categories have the most and least average word count in the 'audience_demographics' table? | SELECT category, AVG(word_count) AS avg_word_count FROM audience_demographics GROUP BY category ORDER BY avg_word_count DESC, category; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_sites (site_id INT, name TEXT, country TEXT, url TEXT); INSERT INTO cultural_sites (site_id, name, country, url) VALUES (1, 'Mount Fuji', 'Japan', 'www.virtualtourjapan1.com'), (2, 'Hiroshima Peace Memorial Park', 'Japan', 'www.virtualtourjapan2.com'), (3, 'Fushimi Inari Shrine', 'Japan', 'www.vir... | List all cultural heritage sites in Japan with their respective virtual tour URLs. | SELECT name, url FROM cultural_sites WHERE country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE BudgetAllocation (CityId INT, Category VARCHAR(50), Amount DECIMAL(10,2)); INSERT INTO BudgetAllocation (CityId, Category, Amount) VALUES (1, 'Transportation', 5000000), (1, 'Infrastructure', 3000000), (1, 'Education', 4000000), (2, 'Transportation', 6000000), (2, 'Infrastructure', 5000000), (2, 'Education... | What is the ranking of cities based on their total budget allocation for all categories, and what is the total budget allocated for each category in the top 3 cities? | SELECT CityId, ROW_NUMBER() OVER (ORDER BY SUM(Amount) DESC) AS CityRank, SUM(Amount) AS TotalBudget FROM BudgetAllocation GROUP BY CityId HAVING CityRank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales(id INT PRIMARY KEY, garment_type VARCHAR(50), quantity INT, sale_date DATE); INSERT INTO sales(id, garment_type, quantity, sale_date) VALUES (1, 't-shirt', 10, '2022-01-01'), (2, 'jeans', 8, '2022-02-01'), (3, 'eco-friendly t-shirt', 15, '2022-03-01'); | What is the total quantity of eco-friendly garments sold in the last quarter? | SELECT SUM(quantity) FROM sales WHERE garment_type LIKE '%eco-friendly%' AND sale_date >= DATE_SUB(CURDATE(), INTERVAL 3 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_finance (initiative_name TEXT, year INTEGER, amount FLOAT, country TEXT); INSERT INTO climate_finance (initiative_name, year, amount, country) VALUES ('Green Grants', 2019, 50000.0, 'Brazil'), ('Climate Innovation Fund', 2020, 100000.0, 'India'), ('Renewable Energy Loans', 2018, 75000.0, 'China'); | Which countries have received climate finance in the 'climate_finance' table? | SELECT DISTINCT country FROM climate_finance; | gretelai_synthetic_text_to_sql |
CREATE TABLE NigerianRegions (Region VARCHAR(50), Population INT, LifeExpectancy INT); INSERT INTO NigerianRegions (Region, Population, LifeExpectancy) VALUES ('North', 20000000, 55), ('South', 25000000, 60), ('East', 22000000, 58), ('West', 18000000, 57); | What is the average life expectancy in each region of Nigeria? | SELECT Region, AVG(LifeExpectancy) AS AverageLifeExpectancy FROM NigerianRegions GROUP BY Region; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (id INT, sector TEXT, location TEXT); INSERT INTO factories (id, sector, location) VALUES (1, 'chemicals', 'Asia'), (2, 'chemicals', 'Europe'), (3, 'textiles', 'South America'), (4, 'electronics', 'Asia'), (5, 'textiles', 'North America'); | Find the number of factories in the 'textiles' sector that are located in South America. | SELECT COUNT(*) FROM factories WHERE sector = 'textiles' AND location = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, supplier_name TEXT, supplier_region TEXT); INSERT INTO suppliers (supplier_id, supplier_name, supplier_region) VALUES (1, 'Supplier X', 'Asia-Pacific'), (2, 'Supplier Y', 'Europe'), (3, 'Supplier Z', 'Asia-Pacific'); CREATE TABLE raw_material_purchases (supplier_id INT, purchase... | What is the total amount of raw materials purchased from suppliers in the Asia-Pacific region in H1 2022? | SELECT SUM(purchase_amount) as total_purchase_amount FROM raw_material_purchases JOIN suppliers ON raw_material_purchases.supplier_id = suppliers.supplier_id WHERE suppliers.supplier_region = 'Asia-Pacific' AND purchase_date >= '2022-01-01' AND purchase_date < '2022-07-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Ocean (OceanID INT, OceanName TEXT); CREATE TABLE Farm (FarmID INT, FarmName TEXT, OceanID INT, EstablishedDate DATE); INSERT INTO Ocean VALUES (1, 'Atlantic'); INSERT INTO Ocean VALUES (2, 'Pacific'); INSERT INTO Farm VALUES (1, 'Farm E', 1, '2018-01-01'); INSERT INTO Farm VALUES (2, 'Farm F', 2, '2019-01... | How many fish were farmed in each ocean for the past 3 years? | SELECT OceanName, EXTRACT(YEAR FROM DATE_ADD(EstablishedDate, INTERVAL (YEAR(CURRENT_DATE) - YEAR(EstablishedDate)) YEAR)) AS Year, COUNT(*) AS FarmCount FROM Ocean INNER JOIN Farm ON Ocean.OceanID = Farm.OceanID GROUP BY OceanName, Year; | gretelai_synthetic_text_to_sql |
CREATE TABLE policy_violations (id INT, policy VARCHAR(50), violations INT, year INT); | Which policies have been violated the most in the past year from the 'policy_violations' table? | SELECT policy, violations FROM policy_violations WHERE year = YEAR(CURRENT_DATE) - 1 GROUP BY policy ORDER BY violations DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Chemical_Plant (plant_name VARCHAR(255), location VARCHAR(255), chemical VARCHAR(255), quantity INT);INSERT INTO Chemical_Plant (plant_name, location, chemical, quantity) VALUES ('Chemical Plant H', 'California', 'Hydrogen Peroxide', 700), ('Chemical Plant I', 'California', 'Hydrogen Peroxide', 900); | Which plants in 'California' produce 'Hydrogen Peroxide' and what are their quantities? | SELECT plant_name, quantity FROM Chemical_Plant WHERE location = 'California' AND chemical = 'Hydrogen Peroxide'; | gretelai_synthetic_text_to_sql |
CREATE TABLE destinations (destination_id INT, name VARCHAR(50), country_id INT, is_eco_certified BOOLEAN); INSERT INTO destinations (destination_id, name, country_id, is_eco_certified) VALUES (5, 'Galápagos National Park', 10, true); INSERT INTO destinations (destination_id, name, country_id, is_eco_certified) VALUES ... | What is the total number of eco-certified destinations in South America? | SELECT COUNT(*) FROM destinations d WHERE d.is_eco_certified = true AND d.country_id IN (SELECT country_id FROM countries WHERE continent = 'South America'); | gretelai_synthetic_text_to_sql |
CREATE TABLE inventory (inventory_id INT, ingredient_id INT, quantity FLOAT, reorder_threshold FLOAT); | What is the total quantity of each ingredient used in the last month? | SELECT i.ingredient_id, i.ingredient_name, SUM(quantity) as total_quantity FROM inventory i JOIN (SELECT ingredient_id, ingredient_name FROM ingredients WHERE date(created_at) >= DATE_SUB(CURRENT_DATE(), INTERVAL 1 MONTH)) i2 ON i.ingredient_id = i2.ingredient_id GROUP BY i.ingredient_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE excavation_sites (site_id INT, site_name TEXT); CREATE TABLE artifacts (artifact_id INT, site_id INT, artifact_type TEXT); INSERT INTO excavation_sites (site_id, site_name) VALUES (1, 'Site A'), (2, 'Site B'), (3, 'Site C'), (4, 'Site D'), (5, 'Site E'), (6, 'Site F'), (7, 'Site G'), (8, 'Site H'); INSERT ... | How many metal and ceramic artifacts are in 'Site H'? | SELECT SUM(artifact_type IN ('metal', 'ceramic')) FROM artifacts a JOIN excavation_sites e ON a.site_id = e.site_id WHERE e.site_name = 'Site H'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy_finance (country VARCHAR(50), year INT, amount FLOAT); INSERT INTO renewable_energy_finance (country, year, amount) VALUES ('Germany', 2017, 500000), ('Spain', 2018, 600000), ('France', 2019, 700000), ('Italy', 2020, 800000), ('UK', 2021, 900000); | Which countries have received climate finance for renewable energy projects in the last 5 years? | SELECT DISTINCT country FROM renewable_energy_finance WHERE year BETWEEN 2017 AND 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE wastewater_plants (id INT, name VARCHAR(50), location VARCHAR(50), capacity INT); | Insert a new record into the wastewater_plants table | INSERT INTO wastewater_plants (id, name, location, capacity) VALUES (1, 'Treatment Plant 1', 'City A', 500000); | gretelai_synthetic_text_to_sql |
CREATE TABLE users (user_id INT, username VARCHAR(20), email VARCHAR(50)); CREATE TABLE posts (post_id INT, user_id INT, content TEXT, post_time TIMESTAMP); CREATE TABLE comments (comment_id INT, post_id INT, user_id INT, comment TEXT, comment_time TIMESTAMP); CREATE TABLE reactions (reaction_id INT, post_id INT, user_... | What is the total number of posts, comments, and reactions for each user in the social_media database? | SELECT u.username, COUNT(p.post_id) AS posts, COUNT(c.comment_id) AS comments, COUNT(r.reaction_id) AS reactions FROM users u LEFT JOIN posts p ON u.user_id = p.user_id LEFT JOIN comments c ON p.post_id = c.post_id LEFT JOIN reactions r ON p.post_id = r.post_id GROUP BY u.username; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(255), director_name VARCHAR(255), release_year INT, watch_time FLOAT); INSERT INTO movies (id, title, director_name, release_year, watch_time) VALUES (1, 'Movie1', 'DirectorA', 2000, 120.5), (2, 'Movie2', 'DirectorB', 2010, 180.7); | What is the total watch time for movies produced by women directors? | SELECT SUM(watch_time) FROM movies WHERE director_name IN (SELECT director_name FROM directors WHERE gender = 'female'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Clients (ClientID INT, ClientName VARCHAR(100), Region VARCHAR(50), FinanciallyCapable BOOLEAN, LastDepositDate DATE); INSERT INTO Clients (ClientID, ClientName, Region, FinanciallyCapable, LastDepositDate) VALUES (1, 'AB Johnson', 'North America', FALSE, '2020-02-01'), (2, 'CD Smith', 'North America', TRU... | Delete records of financially incapable clients from the North American region who have not made any deposits in the past 12 months. | DELETE FROM Clients WHERE FinanciallyCapable = FALSE AND Region = 'North America' AND LastDepositDate < DATE_SUB(CURDATE(), INTERVAL 12 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE funding (id INT, startup_name VARCHAR(50), funding_amount INT, date DATE, country VARCHAR(50)); INSERT INTO funding (id, startup_name, funding_amount, date, country) VALUES (1, 'Startup A', 1000000, '2022-01-01', 'USA'); INSERT INTO funding (id, startup_name, funding_amount, date, country) VALUES (2, 'Star... | Determine the total funding received by startups in the USA from the funding table | SELECT SUM(funding_amount) FROM funding WHERE country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Timber_Production (id INT, year INT, volume INT, forest_id INT); INSERT INTO Timber_Production (id, year, volume, forest_id) VALUES (1, 2020, 10000, 1), (2, 2021, 12000, 1), (3, 2020, 15000, 2), (4, 2021, 18000, 2); | What was the total volume of timber produced in each forest in Canada in 2021? | SELECT Forests.name, SUM(Timber_Production.volume) as total_volume FROM Forests INNER JOIN Timber_Production ON Forests.id = Timber_Production.forest_id WHERE Forests.country = 'Canada' AND Timber_Production.year = 2021 GROUP BY Forests.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE dishes (dish_id INT, name VARCHAR(255), calories INT, cuisine_type VARCHAR(255)); INSERT INTO dishes (dish_id, name, calories, cuisine_type) VALUES (1, 'Pizza', 300, 'Italian'), (2, 'Pasta', 400, 'Italian'), (3, 'Salad', 200, 'Salad'), (4, 'Burger', 500, 'American'), (5, 'Sushi', 250, 'Japanese'), (6, 'Cur... | Find the top 3 cuisine types with the highest average calories per dish? | SELECT cuisine_type, AVG(calories) AS avg_calories FROM dishes GROUP BY cuisine_type ORDER BY avg_calories DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.