context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE EmployeeTraining (TrainingID INT, EmployeeID INT, TrainingName VARCHAR(50), TrainingCost DECIMAL(10,2), TrainingDate DATE); CREATE TABLE Employees (EmployeeID INT, FirstName VARCHAR(50), LastName VARCHAR(50), Department VARCHAR(50), HireDate DATE); | What is the average training cost per employee in the Sales department? | SELECT AVG(TrainingCost) as AvgTrainingCost FROM EmployeeTraining INNER JOIN Employees ON EmployeeTraining.EmployeeID = Employees.EmployeeID WHERE Department = 'Sales'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_id INT, donation_amount DECIMAL(10,2), donation_date DATE); INSERT INTO donations (id, donor_id, donation_amount, donation_date) VALUES (1, 1, 800.00, '2022-10-01'); INSERT INTO donations (id, donor_id, donation_amount, donation_date) VALUES (2, 2, 900.00, '2022-07-30'); INSERT INT... | Which donor made the largest donation in Q3 2022? | SELECT donor_id, MAX(donation_amount) FROM donations WHERE QUARTER(donation_date) = 3 AND YEAR(donation_date) = 2022 GROUP BY donor_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Carbon_Offset_Programs (Program_ID INT, CO2_Emission_Reduction FLOAT, Program_Start_Date DATE); INSERT INTO Carbon_Offset_Programs (Program_ID, CO2_Emission_Reduction, Program_Start_Date) VALUES (1, 5000.0, '2020-01-01'), (2, 7000.0, '2020-01-15'), (3, 3000.0, '2019-12-01'); | What is the total CO2 emission reduction for each carbon offset program in the past year? | SELECT Program_ID, CO2_Emission_Reduction FROM Carbon_Offset_Programs WHERE Program_Start_Date >= DATEADD(YEAR, -1, CURRENT_TIMESTAMP); | gretelai_synthetic_text_to_sql |
CREATE TABLE VendorIngredients (id INT, vendor_id INT, name VARCHAR(255), carbon_footprint INT); | Which vendors have the highest and lowest average carbon footprint for their ingredients? | SELECT vendor_id, MAX(carbon_footprint) AS max_carbon_footprint, MIN(carbon_footprint) AS min_carbon_footprint FROM VendorIngredients GROUP BY vendor_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Suppliers (SupplierID int, SupplierName varchar(50), Region varchar(50)); INSERT INTO Suppliers VALUES (1, 'SupplierA', 'Northeast'), (2, 'SupplierB', 'Southeast'); CREATE TABLE Sales (SaleID int, SupplierID int, TimberVolume float, SaleYear int); INSERT INTO Sales VALUES (1, 1, 500, 2020), (2, 1, 700, 201... | What is the total volume of timber sold by each supplier in a specific year, grouped by region? | SELECT Suppliers.Region, Sales.SaleYear, SUM(Sales.TimberVolume) as TotalTimberVolume FROM Suppliers INNER JOIN Sales ON Suppliers.SupplierID = Sales.SupplierID GROUP BY Suppliers.Region, Sales.SaleYear; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name TEXT, type TEXT);CREATE TABLE inspections (id INT, vessel_id INT, date DATE);CREATE TABLE cargos (id INT, vessel_id INT, material TEXT, destination TEXT, date DATE); INSERT INTO vessels (id, name, type) VALUES (1, 'VesselE', 'Livestock'); INSERT INTO inspections (id, vessel_id, date) ... | What is the average time between inspections for vessels that transported livestock in the Indian Ocean in 2020? | SELECT AVG(DATEDIFF(i2.date, i1.date)) FROM inspections i1 JOIN inspections i2 ON i1.vessel_id = i2.vessel_id AND i1.date < i2.date JOIN cargos c ON i1.vessel_id = c.vessel_id WHERE c.material = 'Livestock' AND c.destination = 'Indian' AND i1.date BETWEEN '2020-01-01' AND '2020-12-31' GROUP BY i1.vessel_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemical_table (chemical_id INT, chemical_name VARCHAR(50), safety_rating INT); CREATE TABLE environmental_impact_table (record_id INT, chemical_id INT, environmental_impact_float); | Show the names and environmental impact of all chemicals in the chemical_table and environmental_impact_table | SELECT t1.chemical_name, t2.environmental_impact_float FROM chemical_table t1 INNER JOIN environmental_impact_table t2 ON t1.chemical_id = t2.chemical_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE court_cases (case_id INT, victim_name TEXT, case_state TEXT, case_status TEXT); INSERT INTO court_cases (case_id, victim_name, case_state, case_status) VALUES (88888, 'Jamie Lee', 'New York', 'Resolved'); | Who are the victims of all cases that have been resolved in the state of New York? | SELECT victim_name FROM court_cases WHERE case_state = 'New York' AND case_status = 'Resolved'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (RestaurantID INT, RestaurantName VARCHAR(255), City VARCHAR(255), State VARCHAR(255), DailyRevenue DECIMAL(10,2), Date DATE); | What is the average daily revenue for restaurants in California, ordered by daily revenue? | SELECT State, AVG(DailyRevenue) OVER (PARTITION BY State ORDER BY State) as AvgDailyRevenue, Date FROM Restaurants WHERE State = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (student_id INT, name VARCHAR(50), race VARCHAR(50), graduation_date DATE); CREATE TABLE papers (paper_id INT, student_id INT, publication_date DATE); | How many research papers have been published by graduate students from underrepresented racial and ethnic groups in the past 5 years? | SELECT COUNT(p.paper_id) FROM students s INNER JOIN papers p ON s.student_id = p.student_id WHERE s.graduation_date >= DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR) AND s.race IN ('Black', 'Hispanic', 'Native American'); | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intelligence_sources (source VARCHAR(50), ioc_count INT); INSERT INTO threat_intelligence_sources (source, ioc_count) VALUES ('Source A', 250), ('Source B', 220), ('Source C', 190), ('Source D', 160), ('Source E', 140), ('Source F', 120); | Identify the top 5 threat intelligence sources with the most number of unique indicators of compromise (IOCs) in the last 6 months. | SELECT source, ioc_count FROM threat_intelligence_sources WHERE ioc_date >= DATEADD(month, -6, GETDATE()) GROUP BY source ORDER BY SUM(ioc_count) DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (id INT, user_id INT, program VARCHAR(50), hours DECIMAL(10, 2), volunteer_date DATE); INSERT INTO Volunteers (id, user_id, program, hours, volunteer_date) VALUES (1, 201, 'program A', 3.00, '2021-02-01'); INSERT INTO Volunteers (id, user_id, program, hours, volunteer_date) VALUES (2, 202, 'prog... | Who volunteered the most hours in program B in 2022? | SELECT user_id, SUM(hours) FROM Volunteers WHERE program = 'program B' AND volunteer_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY user_id ORDER BY SUM(hours) DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name VARCHAR(255)); INSERT INTO teams VALUES (1, 'TeamA'), (2, 'TeamB'); CREATE TABLE games (game_id INT, team_id INT, home_attendance INT, season INT); INSERT INTO games VALUES (1, 1, 45000, 2022), (2, 1, 50000, 2022), (3, 2, 38000, 2022), (4, 2, 42000, 2022); | What is the average home game attendance for each team in the 2022 season? | SELECT t.team_name, AVG(g.home_attendance) AS avg_attendance FROM teams t JOIN games g ON t.team_id = g.team_id WHERE g.season = 2022 GROUP BY t.team_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE vendor_vulnerabilities (id INT, vendor TEXT, domain TEXT, vulnerability_id INT, date_discovered DATE); INSERT INTO vendor_vulnerabilities (id, vendor, domain, vulnerability_id, date_discovered) VALUES (1, 'Tech Co', 'Network Security', 1, '2022-07-27'); INSERT INTO vendor_vulnerabilities (id, vendor, domai... | What is the total number of vulnerabilities found in the last month for vendors located in Southeast Asia? | SELECT COUNT(*) as count FROM vendor_vulnerabilities WHERE date_discovered >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) AND vendor IN ('Tech Co', 'Data Inc', 'SecureNet', 'AppSecure', 'AccessGuard') AND vendor LIKE '% Southeast Asia%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE VesselData (VesselID INT, VesselName VARCHAR(50), Type VARCHAR(50), Length INT, EnginePower INT); INSERT INTO VesselData (VesselID, VesselName, Type, Length, EnginePower) VALUES (1, 'SeaQueen', 'Cargo', 150, 5000); CREATE TABLE IncidentData (IncidentID INT, IncidentType VARCHAR(50), IncidentDate DATE, Vess... | What is the maximum engine power of sailboats that were involved in an incident in the Mediterranean Sea? | SELECT MAX(v.EnginePower) FROM VesselData v INNER JOIN IncidentData i ON v.VesselID = i.VesselID WHERE v.Type = 'Sailboat' AND i.Location = 'Mediterranean Sea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (organization_id INT, organization_name TEXT, region TEXT); INSERT INTO organizations (organization_id, organization_name, region) VALUES (1, 'Access Ability Africa', 'Africa'), (2, 'Equality Empowerment', 'Asia'); CREATE TABLE policy_advocacy_campaigns (campaign_id INT, organization_id INT, ... | List all policy advocacy campaigns led by organizations in the African region that have served more than 500 people. | SELECT organization_name FROM organizations o JOIN policy_advocacy_campaigns pc ON o.organization_id = pc.organization_id WHERE region = 'Africa' AND number_of_people_served > 500; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (name VARCHAR(50), region VARCHAR(20), avg_depth FLOAT, has_coral_reef BOOLEAN); INSERT INTO marine_protected_areas (name, region, avg_depth, has_coral_reef) VALUES ('Area A', 'Pacific', 1200.5, true), ('Area B', 'Pacific', 1500.2, false), ('Area C', 'Atlantic', 1800.9, true); | What is the minimum depth of all marine protected areas in the 'Pacific' region with a coral reef?' | SELECT MIN(avg_depth) FROM marine_protected_areas WHERE region = 'Pacific' AND has_coral_reef = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_diplomacy (id INT, country VARCHAR(255), year INT, event_name VARCHAR(255)); INSERT INTO military_diplomacy (id, country, year, event_name) VALUES (1, 'Egypt', 2019, 'Russian-Egyptian Military Cooperation Commission'); | What is the number of military diplomacy events held by Russia with African countries in 2019? | SELECT COUNT(*) FROM military_diplomacy WHERE country LIKE 'Africa%' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT, ArtistName VARCHAR(255)); INSERT INTO Artists (ArtistID, ArtistName) VALUES (1, 'Artist1'), (2, 'Artist2'), (3, 'Artist3'), (4, 'Artist4'), (5, 'Artist5'); CREATE TABLE Concerts (ConcertID INT, ArtistID INT, Venue VARCHAR(255)); INSERT INTO Concerts (ConcertID, ArtistID, Venue) VALUE... | List all artists who have never had a concert in the United States. | SELECT DISTINCT A.ArtistName FROM Artists A LEFT JOIN Concerts C ON A.ArtistID = C.ArtistID WHERE C.Venue NOT LIKE '%United States%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE operational_satellites_mass (id INT, name VARCHAR(255), mass FLOAT); INSERT INTO operational_satellites_mass (id, name, mass) VALUES (1, 'Operational Satellite 1', 1500.0), (2, 'Operational Satellite 2', 500.0), (3, 'Operational Satellite 3', 2000.0); | What is the minimum and maximum mass of operational satellites? | SELECT MIN(mass) AS minimum_mass, MAX(mass) AS maximum_mass FROM operational_satellites_mass WHERE status = 'Operational'; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_health_policies (id INT, name TEXT, description TEXT, created_at TIMESTAMP); | Insert a new public health policy record for 'Tobacco Control Act' created at '2000-01-01 00:00:00'. | INSERT INTO public_health_policies (name, created_at) VALUES ('Tobacco Control Act', '2000-01-01 00:00:00'); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biosensor_development;CREATE TABLE if not exists biosensor_development.sensors (id INT, name VARCHAR(100), continent VARCHAR(50));INSERT INTO biosensor_development.sensors (id, name, continent) VALUES (1, 'TypeA', 'Europe'), (2, 'TypeB', 'South America'), (3, 'TypeA', 'Africa'), (4, 'TypeC',... | How many biosensor types are being developed in each continent? | SELECT continent, COUNT(*) FROM biosensor_development.sensors GROUP BY continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE schools (id INT, name VARCHAR(255), mental_health_program BOOLEAN); INSERT INTO schools (id, name, mental_health_program) VALUES (1, 'School A', true), (2, 'School B', false), (3, 'School C', true); | Which schools have a mental health program? | SELECT name FROM schools WHERE mental_health_program = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, user_id INT, amount DECIMAL(10,2), transaction_time TIMESTAMP); | What is the transaction count per day for the last week? | SELECT DATE(transaction_time) as transaction_date, COUNT(*) as transaction_count FROM transactions WHERE transaction_time > DATEADD(week, -1, GETDATE()) GROUP BY transaction_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (id INT, attorney_id INT, outcome TEXT, billing_amount INT); INSERT INTO cases (id, attorney_id, outcome, billing_amount) VALUES (1, 1, 'Favorable', 10000); CREATE TABLE attorneys (id INT, name TEXT, region TEXT, title TEXT); INSERT INTO attorneys (id, name, region, title) VALUES (1, 'Jim Smith', 'Ca... | What is the total billing amount for cases with a favorable outcome in the 'California' region? | SELECT SUM(billing_amount) FROM cases JOIN attorneys ON cases.attorney_id = attorneys.id WHERE attorneys.region = 'California' AND cases.outcome = 'Favorable'; | gretelai_synthetic_text_to_sql |
CREATE TABLE archaeological_sites (site_id INT, name VARCHAR(50), ocean VARCHAR(20)); | Which underwater archaeological sites are located in the Mediterranean? | SELECT name FROM archaeological_sites WHERE ocean = 'Mediterranean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping_operations (id INT, country VARCHAR(255), year INT); | Delete records of peacekeeping operations led by a specific country. | DELETE FROM peacekeeping_operations WHERE country = 'France' AND year BETWEEN 2015 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE researchers (id INT, name VARCHAR(50), project VARCHAR(50)); INSERT INTO researchers (id, name, project) VALUES (1, 'Alice', 'gene sequencing'), (2, 'Bob', 'biosensor development'), (3, 'Charlie', 'gene sequencing'); | Update the 'project' of the researcher with id '2' to 'synthetic biology' in the 'researchers' table. | UPDATE researchers SET project = 'synthetic biology' WHERE id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_customers (customer_id INT, data_usage FLOAT, state VARCHAR(20)); INSERT INTO mobile_customers (customer_id, data_usage, state) VALUES (1, 3.5, 'New York'), (2, 6.2, 'New York'); | What is the maximum data usage by a mobile customer in the state of New York? | SELECT MAX(data_usage) FROM mobile_customers WHERE state = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE GraduatePrograms(ProgramID INT, ProgramName VARCHAR(50), Enrollment INT); INSERT INTO GraduatePrograms (ProgramID, ProgramName, Enrollment) VALUES (1, 'Physics', 25), (2, 'Mathematics', 30); | How many students are enrolled in each graduate program, ranked by the number of students? | SELECT ProgramName, ROW_NUMBER() OVER(ORDER BY Enrollment DESC) AS Rank, Enrollment FROM GraduatePrograms; | gretelai_synthetic_text_to_sql |
CREATE TABLE if NOT EXISTS community_education (program_id INT, program_name VARCHAR(50), donation_count INT); INSERT INTO community_education (program_id, program_name, donation_count) VALUES (1, 'Wildlife Conservation 101', 500); INSERT INTO community_education (program_id, program_name, donation_count) VALUES (2, 'E... | List the community education programs that have not received any donations. | SELECT program_name FROM community_education WHERE donation_count = 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE social_impact_bonds (id INT, investment DECIMAL(10,2), country VARCHAR(50)); INSERT INTO social_impact_bonds (id, investment, country) VALUES (1, 15000, 'Africa'), (2, 20000, 'North America'), (3, 10000, 'Africa'); | What is the maximum investment in social impact bonds in Africa? | SELECT MAX(investment) FROM social_impact_bonds WHERE country = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE treatments (treatment_id INT, year INT, cost DECIMAL(10,2), condition VARCHAR(30)); INSERT INTO treatments (treatment_id, year, cost, condition) VALUES (1, 2021, 500.00, 'Anxiety'), (2, 2022, 600.00, 'Depression'), (3, 2021, 700.00, 'Anxiety'); | What is the total cost of all mental health conditions treated in 2021? | SELECT SUM(cost) FROM treatments WHERE year = 2021 GROUP BY condition; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tour_pricing (id INT PRIMARY KEY, attraction_id INT, price FLOAT); | Insert new virtual tour pricing into 'virtual_tour_pricing' table | INSERT INTO virtual_tour_pricing (id, attraction_id, price) VALUES (1, 1, 19.99); | gretelai_synthetic_text_to_sql |
CREATE TABLE advocacy (campaign_id INT, campaign_name VARCHAR(255), country VARCHAR(255), campaign_start_date DATE, campaign_end_date DATE); INSERT INTO advocacy (campaign_id, campaign_name, country, campaign_start_date, campaign_end_date) VALUES (1, 'Campaign1', 'Mexico', '2019-01-01', '2019-04-30'), (2, 'Campaign2', ... | How many advocacy campaigns were conducted in Mexico in 2019? | SELECT COUNT(*) FROM advocacy WHERE country = 'Mexico' AND YEAR(campaign_start_date) = 2019 AND YEAR(campaign_end_date) = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE Suppliers (SupplierID INT, SupplierName VARCHAR(50), Location VARCHAR(50)); INSERT INTO Suppliers (SupplierID, SupplierName, Location) VALUES (1, 'Supplier A', 'Northeast'), (2, 'Supplier B', 'Southeast'); CREATE TABLE Products (ProductID INT, ProductName VARCHAR(50), SupplierID INT, IsMeat BOOLEAN); INSER... | What is the total quantity of meat products sold in the Southeast region? | SELECT SUM(Quantity) FROM Sales JOIN Products ON Sales.ProductID = Products.ProductID JOIN Suppliers ON Products.SupplierID = Suppliers.SupplierID WHERE IsMeat = true AND Suppliers.Location = 'Southeast'; | gretelai_synthetic_text_to_sql |
CREATE TABLE routes (id INT, name VARCHAR(50), start_stop_id INT, end_stop_id INT); INSERT INTO routes (id, name, start_stop_id, end_stop_id) VALUES (1, 'Broadway Line', 1, 20); CREATE TABLE trips (id INT, start_time TIMESTAMP, end_time TIMESTAMP, passenger_count INT, stop_id INT); INSERT INTO trips (id, start_time, en... | How many passengers used the 'Broadway Line' during rush hour on January 10, 2022? | SELECT SUM(t.passenger_count) FROM trips t INNER JOIN routes r ON t.stop_id = r.start_stop_id WHERE r.name = 'Broadway Line' AND TIME(t.start_time) BETWEEN '07:00:00' AND '07:59:59'; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (id INT, industry VARCHAR(50), region VARCHAR(50), fair_trade BOOLEAN); | How many factories in the electronics industry are compliant with fair trade practices in Asia? | SELECT COUNT(*) FROM factories WHERE industry = 'electronics' AND region = 'Asia' AND fair_trade = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (id INT, name VARCHAR(20)); INSERT INTO ports (id, name) VALUES (1, 'Toronto'), (2, 'Montreal'); CREATE TABLE containers (id INT, weight INT, port_id INT); INSERT INTO containers (id, weight, port_id) VALUES (1, 500, 1), (2, 1000, 1), (3, 2000, 2), (4, 2500, 2); | What is the minimum weight of a container handled by port 'Toronto'? | SELECT MIN(weight) FROM containers WHERE port_id = (SELECT id FROM ports WHERE name = 'Toronto'); | gretelai_synthetic_text_to_sql |
CREATE TABLE ForestPlots (PlotID int, PlotName varchar(50)); INSERT INTO ForestPlots VALUES (1, 'Plot1'), (2, 'Plot2'); CREATE TABLE Trees (TreeID int, TreeSpecies varchar(50), PlotID int); INSERT INTO Trees VALUES (1, 'Oak', 1), (2, 'Maple', 1), (3, 'Pine', 2); CREATE TABLE CarbonSequestration (PlotID int, Sequestrati... | Which tree species are present in each forest plot, including the carbon sequestration for each plot? | SELECT ForestPlots.PlotName, Trees.TreeSpecies, CarbonSequestration.Sequestration FROM ForestPlots INNER JOIN Trees ON ForestPlots.PlotID = Trees.PlotID INNER JOIN CarbonSequestration ON ForestPlots.PlotID = CarbonSequestration.PlotID; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, name VARCHAR(20), total_spent DECIMAL(5,2)); INSERT INTO customers (customer_id, name, total_spent) VALUES (1, 'Amina', 150.00), (2, 'Babatunde', 200.00), (3, 'Chen', 300.00), (4, 'Dalia', 50.00), (5, 'Elias', 400.00); CREATE TABLE sales (sale_id INT, customer_id INT, product_id... | Who are the top 5 customers by spending on sustainable materials? | SELECT customers.name, SUM(sales.sale_amount) AS total_spent FROM customers JOIN sales ON customers.customer_id = sales.customer_id JOIN products ON sales.product_id = products.product_id WHERE products.is_sustainable = TRUE GROUP BY customers.name ORDER BY total_spent DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE FarmMetrics (farm_type VARCHAR(10), temperature FLOAT, humidity FLOAT); INSERT INTO FarmMetrics (farm_type, temperature, humidity) VALUES ('Organic', 22.6, 68.3), ('Organic', 21.4, 70.1), ('Organic', 23.9, 65.7), ('Conventional', 24.5, 63.2), ('Conventional', 25.6, 61.8), ('Conventional', 23.1, 64.9); | Find the difference in average temperature and humidity between organic and conventional farms. | SELECT AVG(temperature) - (SELECT AVG(temperature) FROM FarmMetrics WHERE farm_type = 'Conventional') as temp_diff, AVG(humidity) - (SELECT AVG(humidity) FROM FarmMetrics WHERE farm_type = 'Conventional') as humidity_diff FROM FarmMetrics WHERE farm_type = 'Organic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production_data (id INT PRIMARY KEY, mine_id INT, year INT, monthly_production INT);CREATE TABLE reclamation_data (id INT PRIMARY KEY, mine_id INT, year INT, reclamation_cost INT);CREATE TABLE mine_employees (id INT PRIMARY KEY, mine_id INT, employee_id INT, employment_start_date DATE, employment_end_date ... | Identify the number of employees, average tenure, and mines with more than 10 years of operation for mines in the African continent. | SELECT e.mine_id, e.employee_count, e.avg_tenure, o.operation_years FROM employee_stats e JOIN operation_duration o ON e.mine_id = o.mine_id WHERE o.operation_years > 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE StdPlayerScores (player_id INT, game_id INT, player_score INT); INSERT INTO StdPlayerScores (player_id, game_id, player_score) VALUES (1, 1, 1500), (2, 1, 1800), (3, 2, 2000), (4, 2, 1900), (5, 3, 1200), (6, 3, 1600); | What is the standard deviation of player scores for each game? | SELECT G.game_name, STDDEV(SPS.player_score) as std_deviation FROM StdPlayerScores SPS JOIN Games G ON SPS.game_id = G.game_id GROUP BY G.game_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE ticket_sales(ticket_id INT, game_id INT, sport VARCHAR(20), tickets_sold INT); | Determine the percentage of ticket sales from each sport in the total ticket sales. | SELECT sport, 100.0 * SUM(tickets_sold) / (SELECT SUM(tickets_sold) FROM ticket_sales) AS percentage FROM ticket_sales GROUP BY sport; | gretelai_synthetic_text_to_sql |
CREATE TABLE inventory (menu_id INT, inventory_quantity INT); CREATE TABLE orders_summary (order_id INT, menu_id INT, quantity INT); INSERT INTO inventory (menu_id, inventory_quantity) VALUES (1, 10), (2, 0), (3, 5); INSERT INTO orders_summary (order_id, menu_id, quantity) VALUES (1, 1, 2), (2, 3, 1); | List menu items with zero orders but available inventory. | SELECT m.menu_name FROM inventory i JOIN menus m ON i.menu_id = m.menu_id LEFT JOIN orders_summary os ON m.menu_id = os.menu_id WHERE i.inventory_quantity > 0 AND os.menu_id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (drug_name TEXT, revenue FLOAT, quarter INT, year INT); INSERT INTO sales (drug_name, revenue, quarter, year) VALUES ('JKL-012', 45000.00, 4, 2022), ('MNO-345', 55000.00, 4, 2022), ('GHI-999', 40000.00, 4, 2022); | What was the total sales revenue of drug 'MNO-345' in Q4 2022? | SELECT SUM(revenue) FROM sales WHERE drug_name = 'MNO-345' AND quarter = 4 AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE skincare_products (product_id INT, name VARCHAR(255), rating FLOAT, is_vegan BOOLEAN, is_cruelty_free BOOLEAN); | What is the average rating of natural skincare products that are vegan and cruelty-free? | SELECT AVG(rating) FROM skincare_products WHERE is_vegan = TRUE AND is_cruelty_free = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE capacity_building_data (id INT, country VARCHAR(50), investment DECIMAL(10,2)); INSERT INTO capacity_building_data (id, country, investment) VALUES (1, 'USA', 100000.00), (2, 'Canada', 80000.00), (3, 'Mexico', 90000.00), (4, 'Brazil', 110000.00); | What is the total capacity building investment by country? | SELECT country, SUM(investment) as total_investment FROM capacity_building_data GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_pricing_ny (id INT, year INT, revenue FLOAT); INSERT INTO carbon_pricing_ny (id, year, revenue) VALUES (1, 2018, 100.0), (2, 2019, 120.0), (3, 2020, 150.0); | What is the average carbon pricing revenue in New York state between 2018 and 2020? | SELECT AVG(revenue) FROM carbon_pricing_ny WHERE year BETWEEN 2018 AND 2020 AND state = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ethical_ai_research (org_id INT, region VARCHAR(20), budget DECIMAL(10,2)); INSERT INTO ethical_ai_research (org_id, region, budget) VALUES (1, 'Europe', 50000.00), (2, 'Europe', 75000.00), (3, 'Asia', 60000.00); | What is the average budget allocated for ethical AI research by organizations in Europe? | SELECT AVG(budget) FROM ethical_ai_research WHERE region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE causes (cause_id INT, cause_name VARCHAR(50)); INSERT INTO causes (cause_id, cause_name) VALUES (1, 'Education'), (2, 'Health'), (3, 'Environment'); CREATE TABLE donations (donation_id INT, cause_id INT, donation_amount DECIMAL(10,2), donation_date DATE); INSERT INTO donations (donation_id, cause_id, donat... | Which causes received donations in the last month? | SELECT cause_name, MAX(donation_date) as latest_donation_date FROM donations JOIN causes ON donations.cause_id = causes.cause_id WHERE donation_date >= DATEADD(month, -1, GETDATE()) GROUP BY cause_name HAVING latest_donation_date IS NOT NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE LanguagePreservation (ID INT, Contributor TEXT, Contribution TEXT, Region TEXT); INSERT INTO LanguagePreservation (ID, Contributor, Contribution, Region) VALUES (1, 'Goethe-Institut', 'German language support', 'Europe'), (2, 'Institut Français', 'French language support', 'Europe'); | Who are the top 3 contributors to language preservation efforts in 'Europe'? | SELECT Contributor, Contribution FROM LanguagePreservation WHERE Region = 'Europe' LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (country VARCHAR(255), num_tours INT); INSERT INTO virtual_tours (country, num_tours) VALUES ('USA', 3000), ('Canada', 2000), ('Mexico', 1500); | Which countries had the highest number of virtual tours in Q2 2022? | SELECT country, SUM(num_tours) as total_tours FROM virtual_tours WHERE quarter = 'Q2' AND year = 2022 GROUP BY country ORDER BY total_tours DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE ExcavationSites (SiteID int, Name varchar(50), Country varchar(50), StartDate date); INSERT INTO ExcavationSites (SiteID, Name, Country, StartDate) VALUES (5, 'Site E', 'Egypt', '2013-11-11'); CREATE TABLE Artifacts (ArtifactID int, SiteID int, Name varchar(50), Description text, DateFound date); INSERT IN... | Delete all artifacts related to a specific excavation site | DELETE FROM Artifacts WHERE SiteID = 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_contracts (id INT, company VARCHAR(255), year INT, amount INT); INSERT INTO defense_contracts (id, company, year, amount) VALUES (1, 'Lockheed Martin', 2020, 10000000), (2, 'Boeing', 2020, 12000000), (3, 'Northrop Grumman', 2019, 8000000), (4, 'Raytheon', 2020, 9000000); | Show the total defense contracts awarded to each company in 2020 | SELECT company, SUM(amount) as total_contracts FROM defense_contracts WHERE year = 2020 GROUP BY company; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_types (type TEXT, id INTEGER, recycling_rate FLOAT); INSERT INTO waste_types (type, id, recycling_rate) VALUES ('Plastic', 1, 0.3), ('Paper', 2, 0.5), ('Glass', 3, 0.7); | Insert new waste type 'Ceramics' into waste_types table. | INSERT INTO waste_types (type, id, recycling_rate) VALUES ('Ceramics', 4, NULL); | gretelai_synthetic_text_to_sql |
CREATE TABLE HealthcareFacilities (ID INT, Name TEXT, ZipCode TEXT, City TEXT, State TEXT, Capacity INT); INSERT INTO HealthcareFacilities (ID, Name, ZipCode, City, State, Capacity) VALUES (1, 'General Hospital', '12345', 'Anytown', 'NY', 500), (2, 'Community Clinic', '67890', 'Othertown', 'NY', 100); | find the total number of healthcare facilities and the number of unique ZIP codes in the HealthcareFacilities table, using a UNION operator | SELECT COUNT(*) FROM HealthcareFacilities UNION SELECT COUNT(DISTINCT ZipCode) FROM HealthcareFacilities; | gretelai_synthetic_text_to_sql |
CREATE TABLE GH_Well (Well_ID VARCHAR(10), Production_Rate INT); INSERT INTO GH_Well (Well_ID, Production_Rate) VALUES ('W001', 200), ('W002', 300); | What is the number of wells in the 'GH_Well' table that have a production rate greater than 500? | SELECT COUNT(*) FROM GH_Well WHERE Production_Rate > 500; | gretelai_synthetic_text_to_sql |
CREATE TABLE subscribers (id INT, type TEXT, city TEXT); INSERT INTO subscribers (id, type, city) VALUES (1, 'mobile', 'New York'); INSERT INTO subscribers (id, type, city) VALUES (2, 'mobile', 'Los Angeles'); INSERT INTO subscribers (id, type, city) VALUES (3, 'mobile', 'Chicago'); INSERT INTO subscribers (id, type, c... | List the top 3 cities with the highest mobile subscriber count. | SELECT city, COUNT(*) as subscriber_count FROM subscribers WHERE type = 'mobile' GROUP BY city ORDER BY subscriber_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE OrganicCottonTshirts(brand VARCHAR(255), production_cost DECIMAL(5,2)); | What is the average production cost of organic cotton t-shirts across all brands? | SELECT AVG(production_cost) FROM OrganicCottonTshirts; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (country VARCHAR(255), year INT, amount INT); INSERT INTO production (country, year, amount) VALUES ('China', 2020, 140000), ('USA', 2020, 38000), ('Australia', 2020, 20000), ('India', 2020, 5000); | Which country had the highest rare earth element production in 2020? | SELECT country, MAX(amount) AS max_amount FROM production WHERE year = 2020 GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies (CompanyID INT, CompanyName VARCHAR(50), Country VARCHAR(50), LaborProductivity DECIMAL(5,2)); INSERT INTO Companies (CompanyID, CompanyName, Country, LaborProductivity) VALUES (1, 'ACME Mining', 'Canada', 15.5), (2, 'BIG Excavations', 'South Africa', 12.3), (3, 'Giga Drilling', 'Australia', 18.7... | Which countries have mining companies with the highest labor productivity? | SELECT Country FROM Companies WHERE LaborProductivity IN (SELECT MAX(LaborProductivity) FROM Companies); | gretelai_synthetic_text_to_sql |
CREATE TABLE subscribers(id INT, technology VARCHAR(20), type VARCHAR(10)); INSERT INTO subscribers(id, technology, type) VALUES (1, '4G', 'mobile'), (2, '5G', 'mobile'), (3, '3G', 'mobile'); | Delete all records of mobile subscribers with the technology '3G'. | DELETE FROM subscribers WHERE technology = '3G' AND type = 'mobile'; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_contracts (contract_id INT, name VARCHAR(100), network VARCHAR(100)); INSERT INTO smart_contracts (contract_id, name, network) VALUES (1, 'Contract1', 'Binance Smart Chain'), (2, 'Contract2', 'Binance Smart Chain'), (3, 'Contract3', 'Binance Smart Chain'), (4, 'Contract4', 'Binance Smart Chain'), (5,... | What are the smart contracts that have been executed on the Binance Smart Chain network? | SELECT name FROM smart_contracts WHERE network = 'Binance Smart Chain'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Astronauts (AstronautID INT, FirstName VARCHAR(20), LastName VARCHAR(20), Nationality VARCHAR(20), SpaceMissions INT, TrainingHours INT); INSERT INTO Astronauts (AstronautID, FirstName, LastName, Nationality, SpaceMissions, TrainingHours) VALUES (1, 'Yang', 'Liwei', 'Chinese', 2, 1500); INSERT INTO Astrona... | What is the average training duration for Chinese astronauts? | SELECT Nationality, AVG(TrainingHours) FROM Astronauts WHERE Nationality = 'Chinese' GROUP BY Nationality; | gretelai_synthetic_text_to_sql |
CREATE TABLE program_implementation (id INT, program VARCHAR(30), county VARCHAR(30), start_year INT); INSERT INTO program_implementation (id, program, county, start_year) VALUES (1, 'Coffee with a Cop', 'Los Angeles County', 2015), (2, 'Block Watch', 'Los Angeles County', 2016), (3, 'Community Police Academy', 'Los An... | What is the total number of community policing programs implemented in Los Angeles County by year? | SELECT start_year, COUNT(*) as total FROM program_implementation WHERE county = 'Los Angeles County' GROUP BY start_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_safety_incidents (id INT, incident_name VARCHAR(255), country VARCHAR(255), incident_category VARCHAR(255)); INSERT INTO ai_safety_incidents (id, incident_name, country, incident_category) VALUES (1, 'IncidentX', 'UAE', 'Malfunction'), (2, 'IncidentY', 'Saudi Arabia', 'Unintended Behavior'), (3, 'Incide... | List all AI safety incidents in the Middle East with their respective categories. | SELECT * FROM ai_safety_incidents WHERE country IN ('UAE', 'Saudi Arabia', 'Israel'); | gretelai_synthetic_text_to_sql |
CREATE TABLE workforce_diversity (id INT, name VARCHAR(100), role VARCHAR(50), gender VARCHAR(10)); INSERT INTO workforce_diversity (id, name, role, gender) VALUES (1, 'John Doe', 'Mining Engineer', 'Male'); INSERT INTO workforce_diversity (id, name, role, gender) VALUES (2, 'Jane Smith', 'Geologist', 'Female'); | How many female and male employees are there in the 'workforce_diversity' table? | SELECT gender, COUNT(*) FROM workforce_diversity GROUP BY gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE argentina_participants (country TEXT, year INT, initiative_type TEXT, participants INT); INSERT INTO argentina_participants (country, year, initiative_type, participants) VALUES ('Argentina', 2018, 'Community Development', 250), ('Argentina', 2018, 'Community Development', 300), ('Argentina', 2019, 'Commun... | Which community development initiatives in Argentina had the highest participant growth rate, in the past 3 years? | SELECT year, initiative_type, MAX(participants) - MIN(participants) OVER (PARTITION BY initiative_type ORDER BY year ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS growth_rate FROM argentina_participants WHERE country = 'Argentina' AND initiative_type = 'Community Development' AND year BETWEEN 2018 AND 2021 ORDER BY grow... | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (country_id INT, name VARCHAR(50), ocean_border VARCHAR(50));INSERT INTO countries (country_id, name, ocean_border) VALUES (1, 'India', 'Indian'), (2, 'Madagascar', 'Indian'), (3, 'Tanzania', 'Indian'), (4, 'Indonesia', 'Pacific'), (5, 'Malaysia', 'Pacific');CREATE TABLE initiatives (initiative_i... | List all the pollution control initiatives in countries that border the Indian Ocean. | SELECT i.name FROM initiatives i JOIN countries c ON i.country_id = c.country_id WHERE c.ocean_border = 'Indian'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sustainable_Buildings (id INT, project_name TEXT, state TEXT, timeline INT);CREATE TABLE Construction_Projects (id INT, project_name TEXT, timeline INT); | What is the average project timeline for sustainable buildings in California? | SELECT AVG(timeline) FROM Sustainable_Buildings WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (article_id INT, title VARCHAR(50), language VARCHAR(50), publish_date DATE); INSERT INTO articles (article_id, title, language, publish_date) VALUES (1, 'Article1', 'Spanish', '2023-01-01'), (2, 'Article2', 'French', '2023-02-14'), (3, 'Article3', 'German', '2023-03-05'); | Count the number of articles in each language published on the media platform, for articles published in 2023. | SELECT language, COUNT(*) as article_count FROM articles WHERE YEAR(publish_date) = 2023 GROUP BY language; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (id INT, ip_address VARCHAR(50), department VARCHAR(50), description TEXT, date DATE); | Which IP addresses are associated with the most security incidents in the 'security_incidents' table? | SELECT ip_address, COUNT(*) as incident_count FROM security_incidents GROUP BY ip_address ORDER BY incident_count DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE bookings(booking_id INT, booking_date DATE, num_tours INT); | How many local tours were booked per month in 2021? | SELECT EXTRACT(MONTH FROM booking_date) AS month, AVG(num_tours) FROM bookings WHERE EXTRACT(YEAR FROM booking_date) = 2021 GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE agricultural_innovation (id INT, project_name VARCHAR(255), budget INT); | Delete all records in the 'agricultural_innovation' table where the budget is less than 75000. | DELETE FROM agricultural_innovation WHERE budget < 75000; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, condition VARCHAR(50), country VARCHAR(50)); INSERT INTO patients (id, condition, country) VALUES (1, 'Depression', 'Africa'), (2, 'Anxiety', 'Africa'), (3, 'Depression', 'Africa'), (4, 'Bipolar Disorder', 'Africa'); CREATE TABLE treatments (id INT, patient_id INT, treatment VARCHAR(50));... | What is the most common treatment approach for patients with depression in Africa? | SELECT treatments.treatment, COUNT(*) AS count FROM patients INNER JOIN treatments ON patients.id = treatments.patient_id WHERE patients.condition = 'Depression' AND patients.country = 'Africa' GROUP BY treatments.treatment ORDER BY count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA oceans;CREATE TABLE oceans.mapping_projects (id INT PRIMARY KEY, country VARCHAR(50), avg_depth DECIMAL(5,2)); INSERT INTO oceans.mapping_projects (id, country, avg_depth) VALUES (1, 'Canada', 4500.00), (2, 'Mexico', 3500.00); | What is the average depth of ocean floor mapping projects by country? | SELECT context.country, AVG(context.avg_depth) FROM oceans.mapping_projects AS context GROUP BY context.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE education_programs (id INT, name VARCHAR(50));CREATE TABLE animals (id INT, species VARCHAR(50), program_id INT);INSERT INTO education_programs (id, name) VALUES (1, 'Adopt an Animal'), (2, 'Wildlife Warriors'), (3, 'Endangered Species');INSERT INTO animals (id, species, program_id) VALUES (1, 'Lion', 1), ... | Show community education programs without any species | SELECT e.name FROM education_programs e LEFT JOIN animals a ON e.id = a.program_id WHERE a.id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (region_id INT, region VARCHAR(255)); INSERT INTO regions (region_id, region) VALUES (1, 'North America'), (2, 'South America'), (3, 'Europe'), (4, 'Asia'), (5, 'Africa'); | What is the distribution of security incidents by region for the last month? | SELECT region, COUNT(*) as incident_count FROM incidents WHERE incident_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (id INT, region TEXT, num_rooms INT); CREATE TABLE virtual_tours (id INT, hotel_id INT, views INT); | How many virtual tours were engaged with in the APAC region for hotels with over 200 rooms? | SELECT COUNT(*) FROM hotels JOIN virtual_tours ON hotels.id = virtual_tours.hotel_id WHERE hotels.region = 'APAC' AND hotels.num_rooms > 200; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT, species_name TEXT, ocean_acidification_data BOOLEAN); INSERT INTO marine_species (id, species_name, ocean_acidification_data) VALUES (1, 'Coral', true); INSERT INTO marine_species (id, species_name, ocean_acidification_data) VALUES (2, 'Humpback Whale', false); | What is the number of marine species with data on ocean acidification? | SELECT COUNT(*) FROM marine_species WHERE ocean_acidification_data = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE textiles (id INT, type VARCHAR(20), price DECIMAL(5,2)); INSERT INTO textiles (id, type, price) VALUES (1, 'cotton', 5.50), (2, 'silk', 15.00); | What is the average price of cotton textiles in the 'textiles' table? | SELECT AVG(price) FROM textiles WHERE type = 'cotton'; | gretelai_synthetic_text_to_sql |
CREATE TABLE us_tourists (id INT, country VARCHAR(20), tourists INT); INSERT INTO us_tourists (id, country, tourists) VALUES (1, 'United States', 75000000); CREATE TABLE canada_tourists (id INT, country VARCHAR(20), tourists INT); INSERT INTO canada_tourists (id, country, tourists) VALUES (1, 'Canada', 22000000); | What is the difference in the number of tourists visiting the United States and Canada? | SELECT (us_tourists.tourists - canada_tourists.tourists) AS diff FROM us_tourists, canada_tourists; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists interactions (interaction_id INT, user_id INT, country VARCHAR(50), interactions_count INT, quarter INT, year INT); INSERT INTO interactions (interaction_id, user_id, country, interactions_count, quarter, year) VALUES (1, 1, 'South Korea', 25, 1, 2022), (2, 2, 'South Korea', 30, 1, 2022); | Show the number of content interactions per user in South Korea for Q1 2022. | SELECT user_id, AVG(interactions_count) FROM interactions WHERE country = 'South Korea' AND quarter = 1 AND year = 2022 GROUP BY user_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE incidents (incident_id INT, incident_type VARCHAR(50), date_time DATETIME); | Find the latest incident date and time in the 'incidents' table | SELECT MAX(date_time) FROM incidents; | gretelai_synthetic_text_to_sql |
CREATE TABLE Shipments (shipment_id INT, origin VARCHAR(50), destination VARCHAR(50)); INSERT INTO Shipments (shipment_id, origin, destination) VALUES (1, 'China', 'United States'); INSERT INTO Shipments (shipment_id, origin, destination) VALUES (2, 'China', 'United States'); | What is the total number of shipments from China to the United States? | SELECT COUNT(*) FROM Shipments WHERE origin = 'China' AND destination = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cities (id INT PRIMARY KEY, name VARCHAR(255)); INSERT INTO Cities (id, name) VALUES (1, 'New York'), (2, 'Chicago'), (3, 'Los Angeles'); CREATE TABLE Events (id INT PRIMARY KEY, city_id INT, price DECIMAL(10,2)); INSERT INTO Events (id, city_id, price) VALUES (1, 1, 50.00), (2, 1, 100.00), (3, 2, 75.00), ... | What are the top 3 cities with the highest total revenue? | SELECT Cities.name, SUM(Events.price) as Total_Revenue FROM Cities INNER JOIN Events ON Cities.id = Events.city_id GROUP BY Cities.name ORDER BY Total_Revenue DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE urban_agriculture_africa (project_name TEXT, area_ha FLOAT); INSERT INTO urban_agriculture_africa (project_name, area_ha) VALUES ('Project C', 34.5); INSERT INTO urban_agriculture_africa (project_name, area_ha) VALUES ('Project D', 56.7); | What is the total area (in hectares) of all urban agriculture projects in the 'Africa' region? | SELECT SUM(area_ha) FROM urban_agriculture_africa; | gretelai_synthetic_text_to_sql |
CREATE TABLE Building_Permits (permit_id INT, building_type VARCHAR(50), location VARCHAR(50), year_issued INT); INSERT INTO Building_Permits (permit_id, building_type, location, year_issued) VALUES (1, 'High-rise residential', 'New York City', 2018); INSERT INTO Building_Permits (permit_id, building_type, location, ye... | Identify the number of building permits issued in New York City for high-rise residential buildings between 2018 and 2020, including those with zero permits issued. | SELECT COUNT(*) FROM (SELECT 1 FROM Building_Permits WHERE building_type = 'High-rise residential' AND location = 'New York City' AND year_issued BETWEEN 2018 AND 2020 GROUP BY year_issued) AS Subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_programs (id INT PRIMARY KEY, name VARCHAR(100), type VARCHAR(50), location VARCHAR(100), capacity INT); | Create a table 'community_programs' | CREATE TABLE community_programs (id INT PRIMARY KEY, name VARCHAR(100), type VARCHAR(50), location VARCHAR(100), capacity INT); | gretelai_synthetic_text_to_sql |
CREATE TABLE Country (id INT PRIMARY KEY, name VARCHAR(50), continent VARCHAR(50));CREATE TABLE Destination (id INT PRIMARY KEY, country VARCHAR(50), name VARCHAR(50), description TEXT, sustainability_rating INT);CREATE VIEW Top_Sustainable_Destinations AS SELECT Destination.country, COUNT(Destination.id) AS destinatio... | What are the top 5 countries with the most sustainable tourism destinations? | SELECT * FROM Top_Sustainable_Destinations LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE industry (company_id INT, industry TEXT); INSERT INTO industry (company_id, industry) VALUES (1, 'Tech'); INSERT INTO industry (company_id, industry) VALUES (2, 'Finance'); | Calculate the total funding for startups with at least one female founder in the tech industry | SELECT SUM(funding_amount) FROM investment_rounds ir INNER JOIN company c ON ir.company_id = c.id INNER JOIN diversity d ON c.id = d.company_id INNER JOIN industry i ON c.id = i.company_id WHERE i.industry = 'Tech' AND d.founder_gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE funding_sources (funding_source_name VARCHAR(50), program_name VARCHAR(50), funding_amount DECIMAL(10,2), funding_year INT); INSERT INTO funding_sources (funding_source_name, program_name, funding_amount, funding_year) VALUES ('Government Grant', 'Theatre', 25000, 2022), ('Private Donation', 'Theatre', 500... | Insert a new record for a 'Literature' program funded by 'Foundation Grant' in 2023 with an amount of 20000. | INSERT INTO funding_sources (funding_source_name, program_name, funding_amount, funding_year) VALUES ('Foundation Grant', 'Literature', 20000, 2023); | gretelai_synthetic_text_to_sql |
CREATE TABLE ExcavationRecords (RecordID INT, SiteID INT, Date DATE); INSERT INTO ExcavationRecords (RecordID, SiteID, Date) VALUES (1, 1, '2005-01-01'), (2, 2, '2009-06-12'), (3, 3, '2011-09-28'); | Delete any excavation records older than 2010? | DELETE FROM ExcavationRecords WHERE Date < '2010-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE orders (customer_id INT, order_date DATE, size VARCHAR(10), quantity INT); INSERT INTO orders (customer_id, order_date, size, quantity) VALUES (1, '2022-01-01', 'large', 100), (2, '2022-01-02', 'large', 200), (3, '2022-01-03', 'medium', 150), (4, '2022-01-04', 'large', 120), (4, '2022-01-05', 'medium', 130... | What is the percentage of orders placed by each customer in the 'medium' size category? | SELECT c.customer_id, c.name, 100.0 * COUNT(o.order_id) / (SELECT COUNT(*) FROM orders) as pct_orders FROM orders o RIGHT JOIN customers c ON o.customer_id = c.customer_id WHERE size = 'medium' GROUP BY c.customer_id, c.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE circular_economy_paris (city VARCHAR(50), initiative_count INT, year INT); INSERT INTO circular_economy_paris (city, initiative_count, year) VALUES ('Paris', 200, 2019), ('Paris', 250, 2020), ('Paris', 300, 2021); | What is the total circular economy initiatives in Paris over the last 2 years? | SELECT SUM(initiative_count) FROM circular_economy_paris WHERE city = 'Paris' AND year >= 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE tickets (id INT, game_id INT, team VARCHAR(50), tickets_sold INT); | Count the number of tickets sold for the "Home Team" in the "tickets" table. | SELECT COUNT(*) FROM tickets WHERE team = 'Home Team'; | gretelai_synthetic_text_to_sql |
CREATE TABLE posts (id INT, user VARCHAR(255), hashtags TEXT, timestamp TIMESTAMP); | List users who have used the hashtag "#fitness" more than 5 times in the past week. | SELECT user FROM posts WHERE hashtags LIKE '%#fitness%' GROUP BY user HAVING COUNT(*) > 5 AND timestamp BETWEEN DATE_SUB(NOW(), INTERVAL 1 WEEK) AND NOW(); | gretelai_synthetic_text_to_sql |
CREATE TABLE artworks (id INT, name VARCHAR(255), year INT, category VARCHAR(255)); INSERT INTO artworks (id, name, year, category) VALUES (1, 'Painting', 1920, 'painting'), (2, 'Sculpture', 1930, 'sculpture'), (3, 'Print', 1940, 'print'); | What is the minimum year of creation for artworks in the 'painting' category? | SELECT MIN(year) FROM artworks WHERE category = 'painting'; | gretelai_synthetic_text_to_sql |
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