context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE SatelliteDeployments (id INT, country VARCHAR(255), year INT, success BOOLEAN); INSERT INTO SatelliteDeployments VALUES (1, 'China', 2010, true), (2, 'USA', 2012, false), (3, 'China', 2015, true), (4, 'India', 2017, true); | How many successful satellite deployments were there in China since 2010? | SELECT COUNT(*) FROM SatelliteDeployments WHERE country = 'China' AND success = true AND year >= 2010; | gretelai_synthetic_text_to_sql |
CREATE TABLE healthcare_facilities (facility_id INT, state VARCHAR(2), serves_aapi BOOLEAN, violations INT); INSERT INTO healthcare_facilities (facility_id, state, serves_aapi, violations) VALUES (1, 'CA', TRUE, 10), (2, 'NY', TRUE, 15), (3, 'CA', FALSE, 5), (4, 'NY', FALSE, 20); | What is the average mental health parity violation score for healthcare facilities serving predominantly Asian American and Pacific Islander communities in California and New York? | SELECT AVG(h.violations) FROM healthcare_facilities h WHERE h.state IN ('CA', 'NY') AND h.serves_aapi = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tourism_japan (vendor_id INT, vendor_name VARCHAR(255), country VARCHAR(255), participation INT); INSERT INTO virtual_tourism_japan (vendor_id, vendor_name, country, participation) VALUES (1, 'Vendor A', 'Japan', 1); INSERT INTO virtual_tourism_japan (vendor_id, vendor_name, country, participation)... | How many local vendors are part of the virtual tourism initiative in Japan? | SELECT COUNT(*) FROM virtual_tourism_japan WHERE country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (id INT, museum VARCHAR(30), price DECIMAL(5,2)); INSERT INTO Events (id, museum, price) VALUES (1, 'Museum of Modern Art', 25.00), (2, 'Metropolitan Museum of Art', 30.00), (3, 'Museum of Modern Art', 20.00); | What is the average ticket price for events at the Museum of Modern Art? | SELECT AVG(price) FROM Events WHERE museum = 'Museum of Modern Art'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Chemicals (Id INT, Name VARCHAR(50), Type VARCHAR(50), ManufacturingDate DATE); INSERT INTO Chemicals (Id, Name, Type, ManufacturingDate) VALUES (1, 'Acetone', 'Solvent', '2021-01-01'), (2, 'Ammonia', 'Gas', '2022-02-01'); | Find chemicals with 'Solvent' type. | SELECT * FROM Chemicals WHERE Type = 'Solvent'; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id INT, name VARCHAR(50)); INSERT INTO players VALUES (1, 'John'); INSERT INTO players VALUES (2, 'Jane'); CREATE TABLE game_sessions (session_id INT, player_id INT, game VARCHAR(50), duration INT); INSERT INTO game_sessions VALUES (1, 1, 'RPG', 12); INSERT INTO game_sessions VALUES (2, 1, ... | Which players have played more than 10 hours of 'RPG' games since 2017? | SELECT p.name, COUNT(*) as rpg_sessions FROM players p JOIN game_sessions s ON p.player_id = s.player_id WHERE s.game = 'RPG' AND s.duration > 0 AND s.duration < 61 GROUP BY p.player_id HAVING COUNT(*) > 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE ContractorBuildings (ContractorID int, Region varchar(20), Year int, GreenCertified bit, SquareFootage decimal(10,2)); INSERT INTO ContractorBuildings (ContractorID, Region, Year, GreenCertified, SquareFootage) VALUES (1, 'Midwest', 2021, 1, 75000.00), (2, 'Midwest', 2021, 1, 60000.00), (3, 'Midwest', 2021... | Identify the top 3 contractors with the highest average square footage of green-certified buildings in the Midwest, for the year 2021. | SELECT ContractorID, AVG(SquareFootage) as Avg_SqFt FROM ContractorBuildings WHERE Region = 'Midwest' AND Year = 2021 AND GreenCertified = 1 GROUP BY ContractorID ORDER BY Avg_SqFt DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (tour_id INT, location VARCHAR(255), country VARCHAR(255), tour_date DATE); INSERT INTO virtual_tours (tour_id, location, country, tour_date) VALUES (1, 'Statue of Liberty', 'USA', '2022-01-01'), (2, 'Golden Gate Bridge', 'USA', '2022-02-15'); | How many virtual tours were conducted in the USA in Q1 2022? | SELECT COUNT(*) FROM virtual_tours WHERE country = 'USA' AND tour_date BETWEEN '2022-01-01' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_pricing (scheme VARCHAR(255), year INT, carbon_price FLOAT); INSERT INTO carbon_pricing (scheme, year, carbon_price) VALUES ('ETS', 2021, 30.56); | List the carbon pricing schemes and their corresponding carbon prices for the year 2021, sorted by carbon price in descending order. | SELECT * FROM carbon_pricing WHERE year = 2021 ORDER BY carbon_price DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE workforce (id INT, name VARCHAR(50), position VARCHAR(50), department VARCHAR(50), operation_type VARCHAR(50)); INSERT INTO workforce (id, name, position, department, operation_type) VALUES (1, 'John Doe', 'Engineer', 'Mining', 'Coal'), (2, 'Jane Smith', 'Technician', 'Environment', 'Gold'), (3, 'Alice Joh... | What is the number of employees working in each mining operation type? | SELECT operation_type, COUNT(*) as num_employees FROM workforce GROUP BY operation_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_database (id INT, name VARCHAR(50), type VARCHAR(50), orbit_type VARCHAR(50), country VARCHAR(50), launch_date DATE); | Show the number of satellites in the satellite_database table, grouped by their country, and order by the count in descending order, only showing the top 5 countries | SELECT country, COUNT(*) as satellite_count FROM satellite_database GROUP BY country ORDER BY satellite_count DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE women_businesses (country VARCHAR(50), business_count INT); INSERT INTO women_businesses (country, business_count) VALUES ('Bangladesh', 500), ('Kenya', 300), ('Guatemala', 250); | What is the number of women-led businesses in the agricultural sector in each country? | SELECT country, business_count FROM women_businesses; | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (vulnerability_id INT, organization VARCHAR(255), country VARCHAR(255), severity_score INT, vulnerability_date DATE); INSERT INTO vulnerabilities (vulnerability_id, organization, country, severity_score, vulnerability_date) VALUES (1, 'Org1', 'USA', 7, '2022-06-01'), (2, 'Org2', 'Canada', 5... | What is the total number of vulnerabilities and the average severity score for each organization, ordered by the highest average severity score, for the last 90 days? | SELECT organization, COUNT(vulnerability_id) as total_vulnerabilities, AVG(severity_score) as avg_severity_score FROM vulnerabilities WHERE vulnerability_date >= DATEADD(day, -90, GETDATE()) GROUP BY organization ORDER BY avg_severity_score DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Visitors (id INT, exhibition_id INT, age INT, prefers_digital BOOLEAN); INSERT INTO Visitors (id, exhibition_id, age, prefers_digital) VALUES (1, 1, 30, TRUE), (2, 1, 35, FALSE), (3, 2, 40, TRUE); | What percentage of visitors identified as preferring digital experiences? | SELECT 100.0 * COUNT(v.id) / (SELECT COUNT(id) FROM Visitors) AS percentage FROM Visitors v WHERE v.prefers_digital = TRUE | gretelai_synthetic_text_to_sql |
CREATE TABLE cargo_inspections (inspection_id INT, inspection_date DATE); | Show the number of cargo inspections per month, including months with no inspections. | SELECT EXTRACT(MONTH FROM inspection_date) as month, COUNT(*) as num_inspections FROM cargo_inspections GROUP BY month ORDER BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE platform (platform_id INT, platform_name TEXT, oil_production_q2_2021 FLOAT); INSERT INTO platform (platform_id, platform_name, oil_production_q2_2021) VALUES (1, 'X', 1400), (2, 'Y', 1600), (3, 'Z', 1900); | What was the average oil production per platform in Q2 2021? | SELECT AVG(oil_production_q2_2021) as avg_oil_production FROM platform; | gretelai_synthetic_text_to_sql |
CREATE TABLE explainable_ai_algorithms (algorithm_id INT, algorithm_name TEXT, application_domain TEXT, complexity_score INT); INSERT INTO explainable_ai_algorithms (algorithm_id, algorithm_name, application_domain, complexity_score) VALUES (1, 'AI Transparency', 'Healthcare', 7), (2, 'Explainable Deep Learning', 'Fina... | What is the distribution of explainable AI algorithms by application domain and complexity score? | SELECT application_domain, complexity_score, COUNT(*) as num_algorithms FROM explainable_ai_algorithms GROUP BY application_domain, complexity_score; | gretelai_synthetic_text_to_sql |
CREATE TABLE socially_responsible_loans (loan_id INT, loan_type VARCHAR(20), transaction_value DECIMAL(10,2), transaction_date DATE); INSERT INTO socially_responsible_loans (loan_id, loan_type, transaction_value, transaction_date) VALUES (1, 'Microfinance', 500, '2022-01-05'), (2, 'Green Energy', 1500, '2022-01-10'), (... | What is the total transaction value for socially responsible loans in Q1 2022? | SELECT SUM(transaction_value) FROM socially_responsible_loans WHERE transaction_date BETWEEN '2022-01-01' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer_hours (volunteer_id INT, program_id INT, hours DECIMAL(10, 2), hour_date DATE); INSERT INTO volunteer_hours VALUES (23, 101, 3.00, '2023-01-01'), (24, 101, 2.50, '2023-02-01'), (25, 102, 4.00, '2023-01-10'); | What was the average volunteer hours per volunteer in 2023? | SELECT AVG(hours) FROM volunteer_hours GROUP BY volunteer_id HAVING COUNT(*) > 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (id INT, category VARCHAR(10), funding_received DECIMAL(10,2)); INSERT INTO programs (id, category, funding_received) VALUES (1, 'Exhibitions', 10000.00), (2, 'Education', 25000.00), (3, 'Performances', 12000.00); | What was the total amount of funding received for programs in the 'Performances' category? | SELECT SUM(funding_received) FROM programs WHERE category = 'Performances'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT, species_name VARCHAR(255), population INT, habitat VARCHAR(255), ocean VARCHAR(255)); INSERT INTO marine_species (id, species_name, population, habitat, ocean) VALUES (1, 'Atlantic Salmon', 1000000, 'Freshwater', 'Atlantic'); | How many marine species are there in each ocean, ranked by population size? | SELECT ocean, COUNT(*) AS num_species, SUM(population) AS total_population FROM marine_species GROUP BY ocean ORDER BY total_population DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (org_id INT, org_name TEXT, sector TEXT, annual_revenue FLOAT); INSERT INTO organizations (org_id, org_name, sector, annual_revenue) VALUES (1, 'Greenpeace', 'environment', 200000.00), (2, 'World Wildlife Fund', 'environment', 300000.00); | How many non-profit organizations are there in the 'environment' sector with an annual revenue less than $250,000? | SELECT COUNT(*) FROM organizations WHERE sector = 'environment' AND annual_revenue < 250000.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE drilling_rigs(region VARCHAR(255), status VARCHAR(255), count INT);INSERT INTO drilling_rigs(region, status, count) VALUES('North Sea', 'Active', 30), ('North Sea', 'Inactive', 10), ('Gulf of Mexico', 'Active', 50), ('Gulf of Mexico', 'Inactive', 20), ('Barents Sea', 'Active', 15), ('Barents Sea', 'Inactiv... | Find the number of active drilling rigs in the North Sea and the Gulf of Mexico. | SELECT region, COUNT(*) AS active_rigs_count FROM drilling_rigs WHERE status = 'Active' AND region IN ('North Sea', 'Gulf of Mexico') GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemical_containers (container_id INT, container_name TEXT, last_inspection_date DATE, in_use BOOLEAN); INSERT INTO chemical_containers (container_id, container_name, last_inspection_date, in_use) VALUES (1, 'Container A', '2021-01-01', TRUE), (2, 'Container B', '2021-04-15', FALSE), (3, 'Container C', '20... | Insert a new record of a chemical container that has a container name of 'Container F', has not been inspected yet, and is currently in use. | INSERT INTO chemical_containers (container_name, last_inspection_date, in_use) VALUES ('Container F', NULL, TRUE); | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_initiatives (initiative_id INT, region VARCHAR(50), sustainability_level VARCHAR(50)); INSERT INTO tourism_initiatives (initiative_id, region, sustainability_level) VALUES (1, 'Africa', 'Sustainable'), (2, 'Asia', 'Standard'), (3, 'Africa', 'Sustainable'), (4, 'Europe', 'Luxury'), (5, 'Africa', 'Su... | What is the total number of sustainable tourism initiatives in Africa? | SELECT COUNT(*) FROM tourism_initiatives WHERE region = 'Africa' AND sustainability_level = 'Sustainable'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_customers (customer_id INT, data_usage FLOAT, state VARCHAR(20), last_update DATE); INSERT INTO mobile_customers (customer_id, data_usage, state, last_update) VALUES (1, 6.0, 'NY', '2022-01-10'), (2, 3.5, 'CA', '2022-01-15'), (3, 8.2, 'TX', '2022-01-28'); | What is the average data usage for mobile customers in each state? | SELECT state, AVG(data_usage) FROM mobile_customers GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE Teacher (TeacherID INT, Gender VARCHAR(10)); CREATE TABLE Course (CourseID INT, TeacherID INT); INSERT INTO Teacher (TeacherID, Gender) VALUES (1, 'Female'), (2, 'Male'); INSERT INTO Course (CourseID, TeacherID) VALUES (101, 1), (102, 2), (103, 1); | List all the unique courses taught by female teachers | SELECT CourseID FROM Course c JOIN Teacher t ON c.TeacherID = t.TeacherID WHERE t.Gender = 'Female' GROUP BY CourseID; | gretelai_synthetic_text_to_sql |
CREATE TABLE ContractNegotiations (contract_id INT, contractor VARCHAR(50), contract_duration INT); INSERT INTO ContractNegotiations (contract_id, contractor, contract_duration) VALUES (1, 'Acme Corp', 12); INSERT INTO ContractNegotiations (contract_id, contractor, contract_duration) VALUES (2, 'Global Defense', 18); | What is the total number of contracts negotiated by each contractor and their total duration? | SELECT contractor, COUNT(*) as total_contracts, SUM(contract_duration) as total_duration FROM ContractNegotiations GROUP BY contractor; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies_funding (id INT, company_id INT, funding_amount INT); CREATE TABLE companies (id INT, name TEXT); | Which companies have not yet received any investment? | SELECT companies.name FROM companies LEFT JOIN companies_funding ON companies.id = companies_funding.company_id WHERE funding_amount IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE excavation_sites (site_id INT, site_name VARCHAR(255)); CREATE TABLE artifacts (artifact_id INT, site_id INT, artifact_type VARCHAR(255), historical_period VARCHAR(255)); INSERT INTO excavation_sites (site_id, site_name) VALUES (1, 'site_a'), (2, 'site_b'), (3, 'site_c'); INSERT INTO artifacts (artifact_id... | Find the number of distinct artifact types per site and their historical periods. | SELECT site_name, historical_period, COUNT(DISTINCT artifact_type) as artifact_count FROM excavation_sites s JOIN artifacts a ON s.site_id = a.site_id GROUP BY site_name, historical_period; | gretelai_synthetic_text_to_sql |
CREATE TABLE subscribers (id INT, region VARCHAR(10), monthly_data_usage DECIMAL(5,2)); INSERT INTO subscribers (id, region, monthly_data_usage) VALUES (1, 'urban', 3.5), (2, 'rural', 2.2), (3, 'urban', 4.1), (4, 'rural', 1.9), (5, 'urban', 3.9); | What is the monthly data usage distribution for customers in the 'rural' region? | SELECT monthly_data_usage, COUNT(*) FROM subscribers WHERE region = 'rural' GROUP BY monthly_data_usage; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments(id INT, sector VARCHAR(20), esg_score INT); INSERT INTO investments VALUES(1, 'Tech', 85), (2, 'Healthcare', 75), (3, 'Tech', 82); | What is the sum of ESG scores for investments in the Healthcare sector? | SELECT SUM(esg_score) as total_esg_score FROM investments WHERE sector = 'Healthcare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_adaptation (region VARCHAR(255), funding FLOAT); INSERT INTO climate_adaptation (region, funding) VALUES ('Climate Adaptation Asia', 1500000), ('Climate Adaptation Africa', 1200000); | Update the funding amount for 'Climate Adaptation Asia' project to '1800000' | UPDATE climate_adaptation SET funding = 1800000 WHERE region = 'Climate Adaptation Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellites_by_orbit (satellite_id INT, country VARCHAR(50), orbit_type VARCHAR(50)); INSERT INTO satellites_by_orbit (satellite_id, country, orbit_type) VALUES (1, 'USA', 'Geostationary'); INSERT INTO satellites_by_orbit (satellite_id, country, orbit_type) VALUES (2, 'Russia', 'Low Earth Orbit'); INSERT IN... | Show the number of satellites in geostationary orbit by each country | SELECT country, COUNT(*) as num_satellites FROM satellites_by_orbit WHERE orbit_type = 'Geostationary' GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_temperature (id INT, farm_id INT, region TEXT, temperature FLOAT); INSERT INTO water_temperature (id, farm_id, region, temperature) VALUES (1, 1, 'Indian Ocean', 29.2), (2, 1, 'Indian Ocean', 29.3), (3, 2, 'Atlantic Ocean', 28.1); | What is the maximum water temperature in the 'Indian Ocean' region? | SELECT MAX(water_temperature.temperature) FROM water_temperature WHERE water_temperature.region = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Customers (CustomerID INT, Name VARCHAR(50));CREATE TABLE Investments (CustomerID INT, InvestmentType VARCHAR(10), Sector VARCHAR(10));INSERT INTO Customers VALUES (1,'John Doe'),(2,'Jane Smith'),(3,'Bob Johnson');INSERT INTO Investments VALUES (1,'Stocks','Healthcare'),(2,'Stocks','Technology'),(2,'Stocks... | What are the names of customers who have invested in the healthcare sector but not in the technology sector? | SELECT DISTINCT c.Name FROM Customers c INNER JOIN Investments i ON c.CustomerID = i.CustomerID WHERE i.Sector = 'Healthcare' AND c.CustomerID NOT IN (SELECT CustomerID FROM Investments WHERE Sector = 'Technology'); | gretelai_synthetic_text_to_sql |
CREATE TABLE healthcare_centers_india (name TEXT, location TEXT, patients_served INT); INSERT INTO healthcare_centers_india (name, location, patients_served) VALUES ('HC A', 'Rural Tamil Nadu', 100), ('HC B', 'Rural Karnataka', 200), ('HC C', 'Rural Andhra Pradesh', 150); | What is the total number of patients served by rural healthcare centers in India, excluding those served in the state of Tamil Nadu? | SELECT SUM(patients_served) as total_patients FROM healthcare_centers_india WHERE location NOT LIKE 'Rural Tamil Nadu%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE support_programs (program_id INT, program_name VARCHAR(50), budget INT, disability_type VARCHAR(50)); INSERT INTO support_programs (program_id, program_name, budget, disability_type) VALUES (1, 'Assistive Technology', 50000, 'Physical'); | What is the average budget for support programs by disability type? | SELECT disability_type, AVG(budget) as avg_budget FROM support_programs GROUP BY disability_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE southeast_asian_countries (country TEXT); INSERT INTO southeast_asian_countries VALUES ('Indonesia'), ('Malaysia'), ('Philippines'), ('Thailand'), ('Vietnam'); CREATE TABLE ai_safety_projects (project_name TEXT, funding INTEGER, country TEXT); | Find the total number of AI safety projects in Southeast Asia. | SELECT COUNT(*) FROM ai_safety_projects WHERE country IN (SELECT * FROM southeast_asian_countries); | gretelai_synthetic_text_to_sql |
CREATE TABLE Festivals (id INT, name VARCHAR(50), country VARCHAR(50), year INT, revenue INT, genre VARCHAR(50)); INSERT INTO Festivals (id, name, country, year, revenue, genre) VALUES (1, 'Rock in Rio', 'Brazil', 2024, 8000000, 'Latin'), (2, 'Lollapalooza', 'Argentina', 2024, 7000000, 'Latin'), (3, 'Vive Latino', 'Mex... | What is the total revenue generated by Latin music festivals in South America in 2024? | SELECT SUM(revenue) FROM Festivals WHERE country IN ('Brazil', 'Argentina', 'Mexico') AND genre = 'Latin' AND year = 2024; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkers (CHW_ID INT, Region VARCHAR(50)); INSERT INTO CommunityHealthWorkers (CHW_ID, Region) VALUES (1, 'North'), (2, 'South'), (3, 'East'), (4, 'West'); CREATE TABLE MentalHealthScores (Patient_ID INT, CHW_ID INT, Parity_Score INT); INSERT INTO MentalHealthScores (Patient_ID, CHW_ID, Parit... | What is the average mental health parity score for patients in each community health worker's region? | SELECT c.Region, AVG(m.Parity_Score) as Avg_Parity_Score FROM MentalHealthScores m JOIN CommunityHealthWorkers c ON m.CHW_ID = c.CHW_ID GROUP BY c.Region; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Age INT, GameGenre VARCHAR(20));INSERT INTO Players (PlayerID, Age, GameGenre) VALUES (1, 25, 'RPG'), (2, 24, 'RPG'), (3, 30, 'FPS'); | What is the most common age range of players who play 'RPG' games? | SELECT Age, COUNT(PlayerID) FROM Players WHERE GameGenre = 'RPG' GROUP BY Age ORDER BY COUNT(PlayerID) DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Habitats (id INT, animal_id INT, size FLOAT, region VARCHAR(255)); INSERT INTO Habitats (id, animal_id, size, region) VALUES (1, 1, 5.6, 'Africa'), (2, 2, 3.2, 'Asia'), (3, 3, 7.8, 'Africa'); | What is the maximum and minimum size of protected habitats in square kilometers for each region? | SELECT region, MIN(size) AS min_size, MAX(size) AS max_size FROM Habitats WHERE size IS NOT NULL GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellites (id INT, country VARCHAR(50), launch_date DATETIME); INSERT INTO satellites (id, country, launch_date) VALUES (1, 'USA', '2000-01-01'), (2, 'Russia', '2001-01-01'), (3, 'China', '2002-01-01'), (4, 'Japan', '2003-01-01'), (5, 'India', '2004-01-01'), (6, 'Germany', '2005-01-01'), (7, 'France', '20... | Who are the top 5 countries with the most satellites in orbit? | SELECT country, COUNT(s.id) as total_satellites FROM satellites s JOIN launches l ON s.id = l.satellite_id GROUP BY country ORDER BY total_satellites DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE department (id INT, name VARCHAR(255)); INSERT INTO department (id, name) VALUES (1, 'Justice'); INSERT INTO department (id, name) VALUES (2, 'Interior'); CREATE TABLE foia (id INT, department_id INT, date DATE); INSERT INTO foia (id, department_id, date) VALUES (1, 1, '2020-01-01'); INSERT INTO foia (id, ... | How many FOIA requests were submitted in each department for the year 2020? | SELECT department.name, COUNT(foia.id) as num_foia_requests FROM department JOIN foia ON department.id = foia.department_id WHERE YEAR(foia.date) = 2020 GROUP BY department.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE funding(startup VARCHAR(50), country VARCHAR(20), founder_gender VARCHAR(10));INSERT INTO funding(startup, country, founder_gender) VALUES('StartupA', 'Canada', 'Female'), ('StartupB', 'US', 'Male'), ('StartupC', 'Canada', 'Female'); | Which biotech startups received funding in Canada and have a female founder? | SELECT startup FROM funding WHERE country = 'Canada' AND founder_gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID INT, DonationDate DATE, DonationAmount DECIMAL, CauseID INT); | Which causes received the most funding in Q1 2022? | SELECT C.CauseName, SUM(D.DonationAmount) as Q1Funding FROM Donations D JOIN Causes C ON D.CauseID = C.CauseID WHERE D.DonationDate BETWEEN '2022-01-01' AND '2022-03-31' GROUP BY C.CauseName ORDER BY Q1Funding DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT PRIMARY KEY, drug_id INT, country VARCHAR(255), year INT, revenue DECIMAL(10,2)); CREATE TABLE drugs (id INT PRIMARY KEY, name VARCHAR(255), manufacturer VARCHAR(255), approval_date DATE); | Which countries had the highest sales revenue for a specific drug in 2020? | SELECT country, SUM(revenue) as total_sales FROM sales JOIN drugs ON sales.drug_id = drugs.id WHERE drugs.name = 'Specific Drug' AND year = 2020 GROUP BY country ORDER BY total_sales DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE shipments(id INT, product VARCHAR(20), weight FLOAT, country VARCHAR(20), date DATE); INSERT INTO shipments(id, product, weight, country, date) VALUES (1, 'apples', 500, 'Costa Rica', '2022-01-05'); INSERT INTO shipments(id, product, weight, country, date) VALUES (2, 'bananas', 800, 'Costa Rica', '2022-01-... | What is the total weight of organic apples and bananas shipped from Costa Rica to New York in the first quarter of 2022? | SELECT SUM(weight) FROM shipments WHERE product IN ('apples', 'bananas') AND country = 'Costa Rica' AND date BETWEEN '2022-01-01' AND '2022-03-31' AND product LIKE 'organic%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE manufacturing_processes (process_id INT, process_name VARCHAR(255), energy_consumption INT); INSERT INTO manufacturing_processes (process_id, process_name, energy_consumption) VALUES (1, 'Process A', 1000), (2, 'Process B', 1500), (3, 'Process C', 2000), (4, 'Process D', 2500); | Calculate the average energy consumption for each manufacturing process | SELECT process_name, AVG(energy_consumption) as avg_energy_consumption FROM manufacturing_processes GROUP BY process_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE gym_checkins (id INT, user_id INT, checkin_date DATE); INSERT INTO gym_checkins (id, user_id, checkin_date) VALUES (1, 33, '2022-09-12'), (2, 33, '2022-09-10'), (3, 55, '2022-08-15'); | Who has the highest number of gym check-ins in the past week? | SELECT user_id, COUNT(*) as checkin_count FROM gym_checkins WHERE checkin_date >= CURDATE() - INTERVAL 7 DAY GROUP BY user_id ORDER BY checkin_count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE eras (era_id INT, era_name TEXT); INSERT INTO eras (era_id, era_name) VALUES (1, 'pre-Columbian'); CREATE TABLE excavation_sites (site_id INT, site_name TEXT, country TEXT, era_id INT); INSERT INTO excavation_sites (site_id, site_name, country, era_id) VALUES (1, 'Mayan Ruins', 'Mexico', 1), (2, 'Inca Trai... | Which countries have the most excavation sites in the 'pre-Columbian' era? | SELECT country, COUNT(site_id) as site_count FROM excavation_sites WHERE era_id = 1 GROUP BY country ORDER BY site_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_diplomacy (id INT, country VARCHAR, military_spending FLOAT); | What is the average military spending for countries involved in defense diplomacy? | SELECT country, AVG(military_spending) FROM defense_diplomacy GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE seating_sections (seating_section_id INT, seating_section_name VARCHAR(50), avg_price DECIMAL(10,2)); | What is the average ticket price by seating section? | SELECT s.seating_section_name, AVG(t.revenue/t.quantity) as avg_price FROM tickets t JOIN seating_sections s ON t.seating_section_id = s.seating_section_id GROUP BY s.seating_section_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemical_substance_info (substance_id INT, substance_name TEXT); INSERT INTO chemical_substance_info (substance_id, substance_name) VALUES (101, 'CompoundX'), (102, 'SolutionY'), (103, 'MixtureZ'); | What are the unique chemical substance IDs and their corresponding substance names from the chemical_substance_info table, ordered by the substance ID in ascending order? | SELECT substance_id, substance_name FROM chemical_substance_info ORDER BY substance_id ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (id INT, well_name VARCHAR(100), location VARCHAR(50), status VARCHAR(20)); INSERT INTO wells VALUES (1, 'Well A', 'North Sea', 'Producing'); INSERT INTO wells VALUES (2, 'Well B', 'Gulf of Mexico', 'Abandoned'); INSERT INTO wells VALUES (3, 'Well C', 'Gulf of Mexico', 'Producing'); INSERT INTO wells... | Identify the idle wells in the Gulf of Mexico | SELECT well_name FROM wells WHERE location = 'Gulf of Mexico' AND status = 'Idle'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(50), posts_count INT); CREATE TABLE posts (id INT, user_id INT, post_text VARCHAR(255), post_date DATE); | What is the maximum number of posts in a single day for users in the social_media schema? | SELECT MAX(post_count) FROM (SELECT user_id, COUNT(*) AS post_count FROM posts GROUP BY user_id, post_date) AS post_counts; | gretelai_synthetic_text_to_sql |
CREATE TABLE Supplier (id INT PRIMARY KEY, name VARCHAR(50), country VARCHAR(50), sustainability_score INT); | Insert a new textile supplier 'Sustainable Textiles Inc.' from 'Bangladesh' into the 'Supplier' table | INSERT INTO Supplier (id, name, country, sustainability_score) VALUES (15, 'Sustainable Textiles Inc.', 'Bangladesh', 80); | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (id INT, name VARCHAR(255)); CREATE TABLE supplies (id INT, region_id INT, sent_date DATE, quantity INT); | How many supplies were sent to each region in 2021? | SELECT regions.name, COUNT(supplies.id) FROM supplies JOIN regions ON supplies.region_id = regions.id WHERE supplies.sent_date BETWEEN '2021-01-01' AND '2021-12-31' GROUP BY supplies.region_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name TEXT, donation DECIMAL); INSERT INTO donors (id, name, donation) VALUES (1, 'John Doe', 500.00), (2, 'Jane Smith', 1000.00), (3, 'Mike Johnson', 750.00); | List all unique donors who have donated more than $500.00. | SELECT DISTINCT name FROM donors WHERE donation > 500.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE campaigns (campaign_id INT, name TEXT, condition TEXT, start_date DATE, end_date DATE); INSERT INTO campaigns (campaign_id, name, condition, start_date, end_date) VALUES (1, 'Break the Stigma', 'Depression', '2018-01-01', '2018-12-31'); INSERT INTO campaigns (campaign_id, name, condition, start_date, end_d... | List the names and total number of campaigns for public awareness campaigns related to depression in the last 5 years, ordered by the number of campaigns in descending order. | SELECT name, COUNT(*) as total FROM campaigns WHERE condition = 'Depression' AND start_date >= DATEADD(year, -5, GETDATE()) GROUP BY name ORDER BY total DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (id INT, mission_name VARCHAR(255), astronaut_name VARCHAR(255), duration INT); INSERT INTO space_missions (id, mission_name, astronaut_name, duration) VALUES (1, 'Apollo 11', 'Neil Armstrong', 195), (2, 'Apollo 12', 'Jane Foster', 244), (3, 'Ares 3', 'Mark Watney', 568); CREATE TABLE missio... | What is the maximum duration of a space mission led by 'Space Riders Inc.'? | SELECT MAX(space_missions.duration) FROM space_missions JOIN mission_contractors ON space_missions.mission_name = mission_contractors.mission_name WHERE mission_contractors.contractor = 'Space Riders Inc.'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Forwarders (id INT, name VARCHAR(255)); CREATE TABLE Shipments (id INT, forwarder_id INT, shipped_date DATE, delivered_date DATE, delay INT); | List the freight forwarders with more than 10% of their shipments delayed by more than 5 days in the last 6 months? | SELECT f.name, COUNT(s.id) AS total_shipments, SUM(CASE WHEN s.delay > 5 THEN 1 ELSE 0 END) AS delayed_shipments, 100.0 * SUM(CASE WHEN s.delay > 5 THEN 1 ELSE 0 END) / COUNT(s.id) AS pct_delayed_shipments FROM Forwarders f JOIN Shipments s ON f.id = s.forwarder_id WHERE shipped_date >= DATEADD(month, -6, GETDATE()) GR... | gretelai_synthetic_text_to_sql |
CREATE TABLE FarmTemperature (farm_id INT, date DATE, temperature DECIMAL(5,2)); INSERT INTO FarmTemperature (farm_id, date, temperature) VALUES (1, '2021-01-01', 25.2), (1, '2021-01-02', 25.4); | What is the average water temperature for each month in 2021 for the Tilapia farm? | SELECT AVG(temperature) avg_temp, EXTRACT(MONTH FROM date) month FROM FarmTemperature WHERE farm_id = 1 AND YEAR(date) = 2021 GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (id INT PRIMARY KEY, event_name VARCHAR(100), event_city VARCHAR(50), num_attendees INT); | How many events had more than 50 attendees from each city in the 'events' table? | SELECT event_city, COUNT(id) AS num_events_with_50_plus_attendees FROM events WHERE num_attendees > 50 GROUP BY event_city; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (name VARCHAR(255), depth FLOAT, location VARCHAR(255)); INSERT INTO marine_protected_areas (name, depth, location) VALUES ('Galapagos Islands', 2000.0, 'Pacific Ocean'), ('Great Barrier Reef', 500.0, 'Pacific Ocean'); | Insert a new record into the marine_protected_areas table with the name 'Coral Sea', depth 1000.0, and location 'Pacific Ocean' | INSERT INTO marine_protected_areas (name, depth, location) VALUES ('Coral Sea', 1000.0, 'Pacific Ocean'); | gretelai_synthetic_text_to_sql |
CREATE TABLE cosmetics_ingredients (product VARCHAR(255), ingredient VARCHAR(255), safety_rating INTEGER); CREATE TABLE cosmetics (product VARCHAR(255), product_category VARCHAR(255)); CREATE TABLE ingredients (ingredient VARCHAR(255), chemical_class VARCHAR(255)); CREATE VIEW sulfate_shampoo AS SELECT * FROM cosmetics... | Update the safety rating of all records related to shampoo products with the word 'sulfate' in their ingredient list to 3. | UPDATE cosmetics_ingredients SET safety_rating = 3 WHERE product IN (SELECT product FROM sulfate_shampoo); | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicles (vehicle_id INT, vehicle_type TEXT); INSERT INTO vehicles (vehicle_id, vehicle_type) VALUES (1, 'Tram'), (2, 'Bus'), (3, 'Train'); CREATE TABLE maintenance (maintenance_id INT, vehicle_id INT, maintenance_date DATE); INSERT INTO maintenance (maintenance_id, vehicle_id, maintenance_date) VALUES (1,... | Delete all records for tram vehicle maintenance older than 3 years. | DELETE FROM maintenance WHERE vehicle_id IN (SELECT vehicle_id FROM vehicles WHERE vehicle_type = 'Tram') AND maintenance_date < DATE_SUB(CURRENT_DATE, INTERVAL 3 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE aid_distribution_asia (family_id INT, region VARCHAR(20), disaster_type VARCHAR(20), amount_aid FLOAT); INSERT INTO aid_distribution_asia (family_id, region, disaster_type, amount_aid) VALUES (1, 'Asia', 'Flood', 5000), (2, 'Asia', 'Earthquake', 7000), (3, 'Asia', 'Flood', 6000), (4, 'Asia', 'Tsunami', 800... | What is the total amount of humanitarian aid distributed in Asia by type of disaster, ordered from the highest to the lowest? | SELECT disaster_type, SUM(amount_aid) as total_aid FROM aid_distribution_asia JOIN disaster_type ON aid_distribution_asia.disaster_type = disaster_type.disaster_type GROUP BY disaster_type ORDER BY total_aid DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE construction_projects_2 (project_id INT, city VARCHAR(20), state VARCHAR(20), value DECIMAL(10,2)); INSERT INTO construction_projects_2 (project_id, city, state, value) VALUES (1, 'San Francisco', 'CA', 1000000.00), (2, 'Los Angeles', 'CA', 2000000.00), (3, 'San Diego', 'CA', 1500000.00); | Get the total value of construction projects in each city in California, grouped by city | SELECT city, SUM(value) FROM construction_projects_2 WHERE state = 'CA' GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID int, DonorID int, DonationDate date, DonationAmount decimal(10,2)); INSERT INTO Donations (DonationID, DonorID, DonationDate, DonationAmount) VALUES (1, 1, '2020-01-01', 1000.00), (2, 1, '2020-02-01', 1500.00), (3, 2, '2020-01-01', 2000.00), (4, 2, '2020-02-01', 1000.00), (5, 3, '2020... | Find the top 3 donors who have made the largest cumulative donations, and show their donation amounts and rank. | SELECT DonorID, DonationAmount, ROW_NUMBER() OVER (ORDER BY SUM(DonationAmount) DESC) as DonorRank FROM Donations GROUP BY DonorID ORDER BY DonorRank ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE SalesData (SaleID INT, ProductID INT, SaleDate DATE, QuantitySold INT, Gender TEXT, Size INT); INSERT INTO SalesData (SaleID, ProductID, SaleDate, QuantitySold, Gender, Size) VALUES (1, 1001, '2022-01-01', 25, 'Women', 14), (2, 1002, '2022-02-10', 30, 'Men', 32), (3, 1003, '2022-03-20', 20, 'Men', 30), (4,... | How many size 36 garments for women's wear were sold in the last month? | SELECT COUNT(*) FROM SalesData WHERE Gender = 'Women' AND Size = 36 AND SaleDate >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech;CREATE TABLE if not exists biotech.startups (id INT, name VARCHAR(255), country VARCHAR(255)); INSERT INTO biotech.startups (id, name, country) VALUES (1, 'Genetix', 'USA'), (2, 'BioSense', 'Canada'), (3, 'BioEngine', 'USA'); | How many biotech startups are located in each country? | SELECT country, COUNT(*) num_startups FROM biotech.startups GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_generation (sector VARCHAR(20), waste_quantity INT); INSERT INTO waste_generation (sector, waste_quantity) VALUES ('residential', 1500), ('commercial', 2000), ('industrial', 3000); | What is the total waste generated in the residential sector? | SELECT waste_quantity FROM waste_generation WHERE sector = 'residential'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_sites (site_id INT, site_name TEXT, location TEXT); | List all the unique mining sites located in the African continent. | SELECT DISTINCT site_name FROM mining_sites WHERE location LIKE 'Africa%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE incident_duration (id INT, incident_type VARCHAR(255), incident_time TIMESTAMP, duration INT); | What is the total duration of security incidents related to 'unpatched systems' in the last month? | SELECT SUM(duration) as total_duration FROM incident_duration WHERE incident_type = 'unpatched systems' AND incident_time >= DATE_SUB(CURRENT_TIMESTAMP, INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE fabric_source (source_id INT, country VARCHAR(255), fabric_type VARCHAR(255), quantity INT, is_sustainable BOOLEAN); INSERT INTO fabric_source (source_id, country, fabric_type, quantity, is_sustainable) VALUES (1, 'USA', 'Organic Cotton', 500, true), (2, 'China', 'Recycled Polyester', 800, true), (3, 'Indi... | What is the total quantity of sustainable fabric sourced from each country? | SELECT country, SUM(quantity) FROM fabric_source WHERE is_sustainable = true GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE general_atomics_contracts (contract_id INT, project_id INT, contract_value DECIMAL(10,2)); CREATE TABLE aerojet_rocketry_contracts (contract_id INT, project_id INT, contract_value DECIMAL(10,2)); | What is the difference between the total contract values for the defense projects with General Atomics and Aerojet Rocketdyne? | SELECT (SELECT SUM(contract_value) FROM general_atomics_contracts) - (SELECT SUM(contract_value) FROM aerojet_rocketry_contracts) as difference; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), capacity FLOAT, renewable_energy_source VARCHAR(255)); CREATE TABLE sustainability_reports (id INT PRIMARY KEY, project_id INT, report_date DATE, co2_emissions INT, energy_efficiency_score INT); | What are the average CO2 emissions and energy efficiency scores for projects that use wind energy? | SELECT s.project_id, AVG(s.co2_emissions) as avg_co2, AVG(s.energy_efficiency_score) as avg_efficiency FROM sustainability_reports s JOIN projects p ON s.project_id = p.id WHERE p.renewable_energy_source = 'Wind' GROUP BY s.project_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Gender VARCHAR(10), HireDate DATE, Department VARCHAR(50), Training VARCHAR(50)); INSERT INTO Employees (EmployeeID, Gender, HireDate, Department, Training) VALUES (1, 'Male', '2020-01-01', 'HR', 'Diversity and Inclusion'); INSERT INTO Employees (EmployeeID, Gender, HireDate, Dep... | How many employees have been trained in diversity and inclusion in each department? | SELECT Department, COUNT(*) as Num_Trained_Employees FROM Employees WHERE Training = 'Diversity and Inclusion' GROUP BY Department; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (year INT, element VARCHAR(10), quantity INT); INSERT INTO production (year, element, quantity) VALUES (2015, 'Gadolinium', 5000), (2016, 'Gadolinium', 5500); | What is the minimum production quantity of Gadolinium since 2015? | SELECT MIN(quantity) FROM production WHERE element = 'Gadolinium' AND year >= 2015 | gretelai_synthetic_text_to_sql |
CREATE TABLE hospital_data (hospital_id INT, hospital_name TEXT, type TEXT, city TEXT); INSERT INTO hospital_data (hospital_id, hospital_name, type, city) VALUES (1, 'Hospital A', 'Public', 'San Francisco'), (2, 'Hospital B', 'Private', 'San Francisco'), (3, 'Hospital C', 'Public', 'Los Angeles'), (4, 'Hospital D', 'Pr... | How many public hospitals are there in the city of San Francisco? | SELECT COUNT(*) FROM hospital_data WHERE type = 'Public' AND city = 'San Francisco'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainableFactories (id INT, factory_name TEXT, num_garments INT); INSERT INTO SustainableFactories (id, factory_name, num_garments) VALUES (1, 'Eco-Friendly Factory 1', 500), (2, 'Sustainable Factory 2', 700), (3, 'Green Factory 3', 800), (4, 'Sustainable Factory 4', 600); | Which factories have produced the most garments using sustainable practices? | SELECT factory_name, SUM(num_garments) FROM SustainableFactories GROUP BY factory_name ORDER BY SUM(num_garments) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE TV_VIEWERS (id INT, title VARCHAR(100), genre VARCHAR(50), viewers INT, view_date DATE); INSERT INTO TV_VIEWERS (id, title, genre, viewers, view_date) VALUES (1, 'The Mandalorian', 'Sci-fi', 5000, '2022-01-01'), (2, 'Breaking Bad', 'Drama', 6000, '2021-12-31'), (3, 'Friends', 'Comedy', 4000, '2021-12-31'); | What's the viewership trend for TV shows by genre in Q1 and Q4? | SELECT genre, EXTRACT(QUARTER FROM view_date) as quarter, AVG(viewers) as avg_viewers FROM TV_VIEWERS GROUP BY genre, quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (artist_id INT, artist VARCHAR(255)); CREATE TABLE Streams (stream_id INT, artist_id INT, stream_date DATE, streams INT); INSERT INTO Artists (artist_id, artist) VALUES (1, 'Taylor Swift'), (2, 'BTS'), (3, 'Drake'); INSERT INTO Streams (stream_id, artist_id, stream_date, streams) VALUES (1, 1, '202... | How many streams does each artist have on average per day? | SELECT artist, AVG(streams / NULLIF(DATEDIFF(day, stream_date, LEAD(stream_date) OVER (PARTITION BY artist_id ORDER BY stream_date)), 0)) as avg_daily_streams FROM Streams JOIN Artists ON Streams.artist_id = Artists.artist_id GROUP BY artist; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID int, Name varchar(50), Nationality varchar(50)); INSERT INTO Artists VALUES (1, 'Pablo Picasso', 'Spanish'); INSERT INTO Artists VALUES (2, 'Andy Warhol', 'American'); INSERT INTO Artists VALUES (3, 'Mohammed Ali', 'Egyptian'); INSERT INTO Artists VALUES (4, 'Anju Jain', 'Indian'); INSERT... | What are the total sales of artwork created by artists from Europe? | SELECT SUM(Artworks.Sales) FROM Artworks JOIN Artists ON Artworks.ArtistID = Artists.ArtistID WHERE Artists.Nationality = 'French'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists rural_development; use rural_development; CREATE TABLE IF NOT EXISTS agricultural_innovation (id INT, name VARCHAR(255), cost FLOAT, success BOOLEAN, PRIMARY KEY (id)); INSERT INTO agricultural_innovation (id, name, cost, success) VALUES (1, 'Precision Agriculture', 300000.00, true), (2, 'Dr... | Delete all records with a success status of false from the 'agricultural_innovation' table. | DELETE FROM agricultural_innovation WHERE success = false; | gretelai_synthetic_text_to_sql |
CREATE TABLE Dishes (dish_id INT, dish_name VARCHAR(50), is_vegetarian BOOLEAN, price DECIMAL(5,2), region VARCHAR(50)); INSERT INTO Dishes (dish_id, dish_name, is_vegetarian, price, region) VALUES (1, 'Quinoa Salad', true, 12.99, 'Chicago'), (2, 'Cheeseburger', false, 9.99, 'NY'), (3, 'Veggie Burger', true, 10.99, 'LA... | What is the total price of vegetarian dishes served in the Chicago region? | SELECT SUM(price) FROM Dishes WHERE is_vegetarian = true AND region = 'Chicago'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, category VARCHAR(20), price DECIMAL(5,2)); INSERT INTO products (product_id, category, price) VALUES (1, 'Natural', 25.99), (2, 'Organic', 30.49), (3, 'Natural', 19.99), (4, 'Conventional', 15.99); | What is the difference in price between the most expensive and least expensive product in each category? | SELECT category, MAX(price) - MIN(price) as price_difference FROM products GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE berlin_buses (bus_id INT, speed FLOAT, location VARCHAR(20)); | What is the average speed of public buses in Berlin? | SELECT AVG(speed) FROM berlin_buses; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (tour_id INT, tour_name TEXT, city TEXT, has_3D_VR BOOLEAN); INSERT INTO virtual_tours (tour_id, tour_name, city, has_3D_VR) VALUES (1, 'Museum Tour', 'New York', true), (2, 'Historical Site Tour', 'Paris', false); | What is the percentage of virtual tours with 3D or VR capabilities? | SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM virtual_tours)) AS percentage FROM virtual_tours WHERE has_3D_VR = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorAge INT, DonationAmount DECIMAL); INSERT INTO Donors (DonorID, DonorAge, DonationAmount) VALUES (1, 35, 500.00), (2, 42, 350.00), (3, 28, 700.00); | What is the average donation amount by age group? | SELECT AVG(DonationAmount) as AverageDonation, FLOOR(DonorAge / 10) * 10 as AgeGroup FROM Donors GROUP BY AgeGroup; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sustainable_Tourism (Destination VARCHAR(50), CO2_Emissions INT, Water_Usage INT); INSERT INTO Sustainable_Tourism (Destination, CO2_Emissions, Water_Usage) VALUES ('Bali', 120, 3500), ('Kyoto', 80, 2000), ('Rio de Janeiro', 150, 4000), ('Cairo', 200, 5000); | Find all destinations in the Sustainable_Tourism table with CO2 emissions higher than the average. | SELECT Destination FROM Sustainable_Tourism WHERE CO2_Emissions > (SELECT AVG(CO2_Emissions) FROM Sustainable_Tourism); | gretelai_synthetic_text_to_sql |
CREATE TABLE RugbyMatches (MatchID INT, HomeTeam VARCHAR(50), AwayTeam VARCHAR(50), HomeScore INT, AwayScore INT); | What is the total number of matches played in the RugbyMatches table, for matches where the home team won by more than 10 points? | SELECT COUNT(*) FROM RugbyMatches WHERE HomeScore > AwayScore + 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE Water_Usage (Id INT, Mine_Site VARCHAR(50), Usage INT, Date DATE); INSERT INTO Water_Usage (Id, Mine_Site, Usage, Date) VALUES (1, 'SiteA', 5200, '2020-01-01'); INSERT INTO Water_Usage (Id, Mine_Site, Usage, Date) VALUES (2, 'SiteB', 5600, '2020-01-02'); | What is the average water usage per day at each mine site in January 2020, only showing sites with usage over 5000 liters per day? | SELECT Mine_Site, AVG(Usage) as Average_Water_Usage FROM Water_Usage WHERE Date >= '2020-01-01' AND Date < '2020-02-01' GROUP BY Mine_Site HAVING Average_Water_Usage > 5000; | gretelai_synthetic_text_to_sql |
CREATE TABLE contractors(id INT, company VARCHAR(50), num_contracts INT, contract_date DATE); | Find the defense contractors with the lowest number of awarded contracts in the last 5 years. | SELECT company, num_contracts FROM (SELECT company, COUNT(*) AS num_contracts FROM contractors WHERE contract_date >= DATE(NOW()) - INTERVAL 5 YEAR GROUP BY company ORDER BY num_contracts ASC) AS bottom_contractors; | gretelai_synthetic_text_to_sql |
CREATE TABLE program_data (program_id INT, sector TEXT, donation DECIMAL(10,2), volunteer_hours INT); INSERT INTO program_data (program_id, sector, donation, volunteer_hours) VALUES (1, 'education', 1500.00, 500), (2, 'health', 2000.00, 300), (3, 'education', 1000.00, 700); | What are the total donations and volunteer hours for programs in the education sector? | SELECT SUM(donation) as total_donations, SUM(volunteer_hours) as total_volunteer_hours FROM program_data WHERE sector = 'education'; | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_violations_us (id INT, report_date DATE, state TEXT, incident_count INT); INSERT INTO labor_violations_us (id, report_date, state, incident_count) VALUES (1, '2022-01-01', 'California', 25); INSERT INTO labor_violations_us (id, report_date, state, incident_count) VALUES (2, '2022-02-01', 'Texas', 30)... | What is the average number of labor rights violation incidents per month in the past year for each state in the US? | SELECT state, AVG(incident_count) as avg_incidents FROM labor_violations_us WHERE report_date >= DATE_TRUNC('year', NOW() - INTERVAL '1 year') GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE orders (id INT, order_type TEXT, order_date DATE); | Calculate the percentage of orders that were takeout in the month of February 2022. | SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM orders WHERE order_date BETWEEN '2022-02-01' AND '2022-02-28')) as pct_takeout FROM orders WHERE order_type = 'takeout' AND order_date BETWEEN '2022-02-01' AND '2022-02-28'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT PRIMARY KEY, Name TEXT); CREATE TABLE Artworks (ArtworkID INT PRIMARY KEY, Title TEXT, ArtistID INT, Category TEXT, Quantity INT); | Which artists have created more than 10 works in the 'Surrealism' category? | SELECT Artists.Name FROM Artists INNER JOIN Artworks ON Artists.ArtistID = Artworks.ArtistID WHERE Artworks.Category = 'Surrealism' GROUP BY Artists.Name HAVING SUM(Artworks.Quantity) > 10; | gretelai_synthetic_text_to_sql |
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