context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE Dishes (DishID INT, Name VARCHAR(50), Category VARCHAR(50), WastePercentage DECIMAL(3,2)); INSERT INTO Dishes (DishID, Name, Category, WastePercentage) VALUES (1, 'Lamb Chops', 'Meat', 0.35), (2, 'Eggplant Parmesan', 'Vegetarian', 0.20), (3, 'Beef Stew', 'Meat', 0.40); | Identify dishes with a waste percentage above 30% and their respective categories. | SELECT d.Name, d.Category FROM Dishes d WHERE d.WastePercentage > 0.3; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_ratings (hotel_id INT, hotel_name TEXT, country TEXT, rating FLOAT); INSERT INTO hotel_ratings (hotel_id, hotel_name, country, rating) VALUES (1, 'Eco-Friendly Hotel 1', 'France', 4.2), (2, 'Eco-Friendly Hotel 2', 'France', 4.5), (3, 'Eco-Friendly Hotel 3', 'Italy', 3.8), (4, 'Eco-Friendly Hotel 4', ... | Find the difference in ratings between the first and last eco-friendly hotels in each country? | SELECT country, (MAX(rating) OVER (PARTITION BY country) - MIN(rating) OVER (PARTITION BY country)) AS rating_difference FROM hotel_ratings; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteer_Hours (volunteer_id INT, hours FLOAT, volunteer_date DATE, cause VARCHAR(255)); INSERT INTO Volunteer_Hours (volunteer_id, hours, volunteer_date, cause) VALUES (1, 5.00, '2021-01-01', 'Environment'), (2, 3.00, '2021-02-03', 'Health'), (3, 8.00, '2021-05-05', 'Environment'); | How many volunteer hours were recorded for 'Environment' cause in '2021'? | SELECT SUM(hours) FROM Volunteer_Hours WHERE volunteer_date >= '2021-01-01' AND volunteer_date < '2022-01-01' AND cause = 'Environment'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouse (id INT, name TEXT, region TEXT); INSERT INTO Warehouse (id, name, region) VALUES (1, 'London Warehouse', 'Europe'), (2, 'Berlin Warehouse', 'Europe'), (3, 'Madrid Warehouse', 'Europe'); CREATE TABLE Shipment (id INT, warehouse_id INT, delivery_fee DECIMAL); INSERT INTO Shipment (id, warehouse_id... | What is the total revenue generated from deliveries in the 'Europe' region? | SELECT Warehouse.region, SUM(Shipment.delivery_fee) as total_revenue FROM Warehouse INNER JOIN Shipment ON Warehouse.id = Shipment.warehouse_id WHERE Warehouse.region = 'Europe' GROUP BY Warehouse.region; | gretelai_synthetic_text_to_sql |
CREATE TABLE student_lifelong_learning (student_id INT, city VARCHAR(20), learning_score INT); INSERT INTO student_lifelong_learning (student_id, city, learning_score) VALUES (1, 'Toronto', 85), (2, 'Vancouver', 90), (3, 'New York', 80), (4, 'Montreal', 95), (5, 'Los Angeles', 75); | What is the average lifelong learning score for students in each city? | SELECT city, AVG(learning_score) as avg_score FROM student_lifelong_learning GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_projects (project VARCHAR(50), investment FLOAT); INSERT INTO rural_projects (project, investment) VALUES ('Irrigation System', 500000.00), ('Rural Roads', 700000.00), ('Electricity', 600000.00); | What is the total investment (in USD) for each rural infrastructure project? | SELECT project, investment FROM rural_projects; | gretelai_synthetic_text_to_sql |
CREATE TABLE Satellites (SatelliteID INT, Name VARCHAR(50), Manufacturer VARCHAR(50), LaunchDate DATE, Orbit VARCHAR(50), Status VARCHAR(50)); INSERT INTO Satellites (SatelliteID, Name, Manufacturer, LaunchDate, Orbit, Status) VALUES (1, 'GPS I', 'Lockheed Martin', '2010-01-14', 'GEO', 'Active'), (2, 'GPS II', 'Raytheo... | What is the average lifespan of satellites in GEO orbit? | SELECT AVG(DATEDIFF(day, LaunchDate, GETDATE())) AS AvgLifespan FROM Satellites WHERE Orbit = 'GEO' AND Status = 'Inactive'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Buildings (building_id INT, name VARCHAR(50), building_type VARCHAR(50));CREATE TABLE Units (unit_id INT, building_id INT, square_footage INT); | What is the total number of units and the average square footage of units in each building, partitioned by building type? | SELECT b.building_type, b.name, COUNT(u.unit_id) as num_units, AVG(u.square_footage) as avg_square_footage FROM Units u JOIN Buildings b ON u.building_id = b.building_id GROUP BY b.building_type, b.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE ABC_block (block_hash VARCHAR(255), block_number INT, timestamp TIMESTAMP, miner VARCHAR(255), transactions INT, transaction_value DECIMAL(18,2)); | What was the average transaction value for each block in the ABC blockchain that contained more than 10 transactions? | SELECT block_number, AVG(transaction_value) AS avg_transaction_value FROM ABC_block WHERE transactions > 10 GROUP BY block_number; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtDonations (artist_name VARCHAR(50), piece_count INT, donation_date DATE); INSERT INTO ArtDonations (artist_name, piece_count, donation_date) VALUES ('Monet', 3, '2017-03-12'), ('Renoir', 2, '2019-05-28'), ('Cezanne', 1, '2020-11-05'); | How many art pieces were donated by each artist in the last 5 years? | SELECT artist_name, SUM(piece_count) FROM ArtDonations WHERE donation_date >= DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR) GROUP BY artist_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (port_id INT, port_name TEXT, country TEXT);CREATE TABLE shipments (shipment_id INT, shipment_weight INT, ship_date DATE, port_id INT); INSERT INTO ports VALUES (1, 'Port of Kolkata', 'India'), (2, 'Port of Chennai', 'India'); INSERT INTO shipments VALUES (1, 2000, '2019-01-01', 1), (2, 1500, '2019-0... | What is the average weight of containers shipped from the Port of Kolkata to India in 2019? | SELECT AVG(shipment_weight) FROM shipments JOIN ports ON shipments.port_id = ports.port_id WHERE ports.country = 'India' AND ports.port_name IN ('Port of Kolkata', 'Port of Chennai') AND ship_date BETWEEN '2019-01-01' AND '2019-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (id INT, name VARCHAR, budget DECIMAL); CREATE TABLE volunteers (id INT, name VARCHAR, email VARCHAR, phone VARCHAR); CREATE TABLE volunteer_assignments (id INT, volunteer_id INT, program_id INT); | List the programs with the highest and lowest number of volunteers | SELECT programs.name, COUNT(DISTINCT volunteer_assignments.volunteer_id) as num_volunteers FROM programs JOIN volunteer_assignments ON programs.id = volunteer_assignments.program_id GROUP BY programs.id ORDER BY num_volunteers DESC, programs.name LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE sea_surface_temperature_2 (region TEXT, temperature NUMERIC); INSERT INTO sea_surface_temperature_2 (region, temperature) VALUES ('Arctic', '-1.8'); INSERT INTO sea_surface_temperature_2 (region, temperature) VALUES ('Antarctic', '-1.9'); | What is the average sea surface temperature for the Arctic and Antarctic Oceans? | SELECT AVG(temperature) FROM sea_surface_temperature_2 WHERE region IN ('Arctic', 'Antarctic'); | gretelai_synthetic_text_to_sql |
CREATE TABLE BrandUpdates (BrandID INT, UpdateDate DATE); | Which fashion brands have not updated their sustainable fabric usage data in the last 6 months? | SELECT FB.BrandName FROM FashionBrands FB LEFT JOIN BrandUpdates BU ON FB.BrandID = BU.BrandID WHERE BU.UpdateDate IS NULL OR BU.UpdateDate < DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE PlayerProgress (PlayerID INT, GameName VARCHAR(20), Level INT, Completion BOOLEAN, PlayerContinent VARCHAR(30)); INSERT INTO PlayerProgress (PlayerID, GameName, Level, Completion, PlayerContinent) VALUES (1, 'Galactic Conquest', 1, true, 'North America'), (2, 'Galactic Conquest', 1, true, 'Europe'), (3, 'G... | What is the percentage of users who have completed the first level in "Galactic Conquest" for each continent? | SELECT PlayerContinent, COUNT(*) FILTER (WHERE Completion) * 100.0 / COUNT(*) AS pct_completion FROM PlayerProgress WHERE GameName = 'Galactic Conquest' GROUP BY PlayerContinent; | gretelai_synthetic_text_to_sql |
CREATE TABLE Art_Exhibitions (id INT, country VARCHAR(255), year INT, number_of_pieces INT); | What is the average number of art pieces per exhibition in France in 2019? | SELECT AVG(number_of_pieces) FROM Art_Exhibitions WHERE country = 'France' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID int, DonorName varchar(50), Country varchar(50), Gender varchar(10)); INSERT INTO Donors (DonorID, DonorName, Country, Gender) VALUES (1, 'John Smith', 'USA', 'Male'); INSERT INTO Donors (DonorID, DonorName, Country, Gender) VALUES (2, 'Sara Ahmed', 'Canada', 'Female'); | What is the percentage of donations from male and female donors in the United Kingdom? | SELECT Gender, ROUND(100 * SUM(DonationAmount) / (SELECT SUM(DonationAmount) FROM Donations JOIN Donors ON Donations.DonorID = Donors.DonorID WHERE Country = 'United Kingdom') , 2) AS Percentage FROM Donations JOIN Donors ON Donations.DonorID = Donors.DonorID WHERE Country = 'United Kingdom' GROUP BY Gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE equipment_sales (id INT, equipment_name VARCHAR(255), sale_date DATE, revenue INT); INSERT INTO equipment_sales (id, equipment_name, sale_date, revenue) VALUES (1, 'Tank A', '2022-01-05', 500000), (2, 'Helicopter B', '2022-02-10', 600000), (3, 'Drone C', '2022-03-20', 400000), (4, 'Jeep D', '2022-04-01', 7... | Which military equipment has the highest sales revenue in the first half of 2022? | SELECT equipment_name, SUM(revenue) AS total_revenue FROM equipment_sales WHERE QUARTER(sale_date) = 1 AND YEAR(sale_date) = 2022 GROUP BY equipment_name ORDER BY total_revenue DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy.wind_power (country VARCHAR(20), capacity INT); | What is the maximum renewable energy capacity (in MW) for wind power projects in the 'renewable_energy' schema, for each country? | SELECT country, MAX(capacity) FROM renewable_energy.wind_power GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Manufacturing_Parts (id INT PRIMARY KEY, part_name VARCHAR(100), quantity INT, manufacturer VARCHAR(100)); INSERT INTO Manufacturing_Parts (id, part_name, quantity, manufacturer) VALUES (1, 'Wing', 3, 'Boeing'); INSERT INTO Manufacturing_Parts (id, part_name, quantity, manufacturer) VALUES (2, 'Engine', 2,... | What is the total quantity of engines manufactured by GE and Pratt & Whitney? | SELECT SUM(quantity) FROM Manufacturing_Parts WHERE manufacturer IN ('GE', 'Pratt & Whitney') AND part_name = 'Engine'; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), risk_level VARCHAR(50), impact_score INT); | What is the average impact score of projects in South Asia that have a risk level of 'Medium'? | SELECT AVG(impact_score) FROM projects WHERE location = 'South Asia' AND risk_level = 'Medium'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Labor_Rights (region VARCHAR(20), violation_reported BOOLEAN); INSERT INTO Labor_Rights (region, violation_reported) VALUES ('Northeast', true), ('Northeast', false), ('Midwest', true); | What is the total number of labor rights violations by region? | SELECT region, SUM(violation_reported) as total_violations FROM Labor_Rights GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity (landfill VARCHAR(50), year INT, capacity INT); INSERT INTO landfill_capacity (landfill, year, capacity) VALUES ('Central', 2018, 5000000), ('Central', 2019, 5500000), ('Northern', 2018, 6000000), ('Northern', 2019, 6500000); | Landfill capacity of the 'Central' landfill in 2018 and 2019. | SELECT landfill, (SUM(capacity) FILTER (WHERE year = 2018)) AS capacity_2018, (SUM(capacity) FILTER (WHERE year = 2019)) AS capacity_2019 FROM landfill_capacity WHERE landfill = 'Central' GROUP BY landfill; | gretelai_synthetic_text_to_sql |
CREATE TABLE Games (id INT, name VARCHAR(50), genre VARCHAR(50), revenue INT); INSERT INTO Games (id, name, genre, revenue) VALUES (1, 'GameA', 'Racing', 500000), (2, 'GameB', 'RPG', 700000), (3, 'GameC', 'Racing', 800000); | What is the total revenue generated by each game genre, and what is the maximum revenue generated by a single game? | SELECT genre, SUM(revenue) AS total_revenue, MAX(revenue) AS max_revenue FROM Games GROUP BY genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (city VARCHAR(20), year INT, recycling_rate FLOAT);INSERT INTO recycling_rates (city, year, recycling_rate) VALUES ('San Francisco', 2019, 0.65), ('San Francisco', 2020, 0.7), ('San Francisco', 2021, 0.75), ('New York', 2019, 0.45), ('New York', 2020, 0.5), ('New York', 2021, 0.55); | Find the recycling rate for the city of New York in 2019 | SELECT recycling_rate FROM recycling_rates WHERE city = 'New York' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id INT, name TEXT, nationality TEXT, points INT); INSERT INTO players (player_id, name, nationality, points) VALUES (1, 'John Doe', 'USA', 500), (2, 'Jane Smith', 'USA', 600); | What are the total points scored by players from the United States in the 2020 season? | SELECT SUM(points) FROM players WHERE nationality = 'USA' AND season = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (id INT, artist_name VARCHAR(100), period VARCHAR(50), artwork_name VARCHAR(100), price FLOAT); INSERT INTO Artworks (id, artist_name, period, artwork_name, price) VALUES (1, 'Francis Bacon', 'Abstract Expressionism', 'Three Studies of Lucian Freud', 140000000.0); INSERT INTO Artworks (id, artist_... | Find the total price of artworks by 'Francis Bacon' in the 'Abstract Expressionism' period. | SELECT SUM(price) as total_price FROM Artworks WHERE artist_name = 'Francis Bacon' AND period = 'Abstract Expressionism'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_innovation (id INT, name VARCHAR(50)); CREATE TABLE budget (innovation_id INT, rural_innovation_id INT, amount FLOAT); | What are the names of all agricultural innovation projects in the 'rural_innovation' table, along with their respective budgets from the 'budget' table? (Assuming 'rural_innovation.id' and 'budget.innovation_id' are related by foreign key) | SELECT r.name, b.amount FROM rural_innovation r JOIN budget b ON r.id = b.rural_innovation_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name TEXT, industry TEXT, funding_source TEXT, funding_amount INT); INSERT INTO startups (id, name, industry, funding_source, funding_amount) VALUES (1, 'BioLabs', 'Biotech', 'VC', 12000000); | What is the maximum funding received by biotech startups in the UK? | SELECT MAX(funding_amount) FROM startups WHERE industry = 'Biotech' AND country = 'UK'; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (id INT, name VARCHAR(255), category VARCHAR(255)); INSERT INTO organizations (id, name, category) VALUES (1, 'Freedom Alliance', 'human rights'), (2, 'Equal Rights Foundation', 'human rights'), (3, 'Shine Education', 'education'); CREATE TABLE donations (id INT, organization_id INT, amount D... | List all organizations in the 'human rights' category along with the number of donations they received. | SELECT organizations.name, COUNT(donations.id) AS num_donations FROM organizations INNER JOIN donations ON organizations.id = donations.organization_id WHERE organizations.category = 'human rights' GROUP BY organizations.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE district (name VARCHAR(20), income FLOAT); INSERT INTO district (name, income) VALUES ('North', 45000.0), ('East', 50000.0), ('West', 40000.0), ('South', 55000.0), ('South', 52000.0); | What is the minimum income in the "South" district? | SELECT MIN(income) FROM district WHERE name = 'South'; | gretelai_synthetic_text_to_sql |
CREATE TABLE policies (policy_id INT, last_reviewed DATE); INSERT INTO policies (policy_id, last_reviewed) VALUES (1, '2021-01-01'), (2, '2021-02-15'), (3, '2021-03-05'); | Which policies have been reviewed in the last 30 days? | SELECT policy_id FROM policies WHERE last_reviewed >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY); | gretelai_synthetic_text_to_sql |
CREATE TABLE deep_sea_hydrothermal_vents (id INT, location TEXT, temperature FLOAT, region TEXT); | What is the maximum temperature recorded at deep-sea hydrothermal vents in the Indian Ocean? | SELECT MAX(temperature) FROM deep_sea_hydrothermal_vents WHERE region = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (well_id INT, well_name VARCHAR(50), region VARCHAR(50), production_rate FLOAT); INSERT INTO wells (well_id, well_name, region, production_rate) VALUES (7, 'Well G', 'Caribbean Sea', 3000), (8, 'Well H', 'Caribbean Sea', 7000); | List the names of all wells in the 'Caribbean Sea' and their production rates, sorted by production rate in descending order. | SELECT well_name, production_rate FROM wells WHERE region = 'Caribbean Sea' ORDER BY production_rate DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE HumanResources (EmployeeID INT, FirstName VARCHAR(20), LastName VARCHAR(20), Position VARCHAR(20), Gender VARCHAR(10)); | Find the number of female faculty members in the HumanResources table. | SELECT COUNT(*) FROM HumanResources WHERE Position LIKE '%faculty%' AND Gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_personnel_middle_east (country VARCHAR(255), num_personnel INT); INSERT INTO military_personnel_middle_east (country, num_personnel) VALUES ('Israel', 170000), ('Saudi Arabia', 225000), ('Iran', 525000); | What is the average number of military personnel in the Middle East? | SELECT AVG(num_personnel) FROM military_personnel_middle_east; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_customers_tx (customer_id INT, data_usage FLOAT, state VARCHAR(50)); INSERT INTO mobile_customers_tx (customer_id, data_usage, state) VALUES (1, 5.5, 'TX'), (2, 4.2, 'NJ'), (3, 6.1, 'TX'), (4, 3.8, 'TX'), (5, 7.2, 'TX'); | Which mobile customers in Texas have a data usage greater than 5 GB? | SELECT customer_id FROM mobile_customers_tx WHERE data_usage > 5 AND state = 'TX'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (ProgramID INT, Category TEXT, Budget DECIMAL(10,2), StartYear INT); INSERT INTO Programs (ProgramID, Category, Budget, StartYear) VALUES (1, 'Environment', 15000.00, 2019), (2, 'Education', 12000.00, 2018); | What was the total budget spent on programs in the Environment category in 2019? | SELECT SUM(Budget) as 'Total Budget Spent' FROM Programs WHERE Category = 'Environment' AND StartYear = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE menus (menu_id INT, item VARCHAR(255), category VARCHAR(255), price DECIMAL(10, 2), is_organic BOOLEAN); INSERT INTO menus VALUES (1, 'Chicken Wings', 'Appetizers', 12.99, false); INSERT INTO menus VALUES (2, 'Veggie Burger', 'Entrees', 10.99, false); INSERT INTO menus VALUES (3, 'Organic Salad', 'Entrees'... | What is the average price of organic menu items in the European Union? | SELECT AVG(price) FROM menus WHERE is_organic = true AND region = 'European Union'; | gretelai_synthetic_text_to_sql |
CREATE TABLE organization_donations (donation_id INT, donation_amount FLOAT, donation_date DATE, organization VARCHAR(50)); INSERT INTO organization_donations (donation_id, donation_amount, donation_date, organization) VALUES (1, 500, '2021-10-01', 'Africa'), (2, 600, '2021-11-01', 'Africa'); | What is the total donation amount in 'organization_donations' table for 'Africa' in Q4 2021? | SELECT SUM(donation_amount) FROM organization_donations WHERE EXTRACT(QUARTER FROM donation_date) = 4 AND organization = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (VolunteerID int, Name varchar(50), ProgramID int); CREATE TABLE Programs (ProgramID int, ProgramName varchar(50)); INSERT INTO Volunteers (VolunteerID, Name, ProgramID) VALUES (1, 'Alice', 1); INSERT INTO Volunteers (VolunteerID, Name, ProgramID) VALUES (2, 'Bob', 2); INSERT INTO Programs (Prog... | How many volunteers engaged per program in Q1 2022? | SELECT ProgramName, COUNT(DISTINCT VolunteerID) as VolunteersEngaged FROM Volunteers JOIN Programs ON Volunteers.ProgramID = Programs.ProgramID WHERE QUARTER(VolunteerDate) = 1 AND YEAR(VolunteerDate) = 2022 GROUP BY ProgramName; | gretelai_synthetic_text_to_sql |
CREATE TABLE concert_ticket_sales (ticket_sale_id INT, artist_id INT, ticket_price DECIMAL(5,2), sale_date DATE); | What is the total revenue generated from concert ticket sales for each artist, for artists who have more than 10 million streams? | SELECT a.artist_id, SUM(t.ticket_price) as total_revenue FROM concert_ticket_sales t JOIN (SELECT artist_id FROM artist_streams WHERE streams > 10000000) a ON t.artist_id = a.artist_id GROUP BY a.artist_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (name TEXT, depth FLOAT, ocean TEXT); INSERT INTO marine_protected_areas (name, depth, ocean) VALUES ('Galapagos Marine Reserve', 2600.0, 'Pacific'), ('Great Barrier Reef', 3444.0, 'Pacific'), ('Sargasso Sea', 7000.0, 'Atlantic'), ('Bermuda Triangle', 4000.0, 'Atlantic'); | What is the average depth of marine protected areas in the Pacific and Atlantic oceans? | SELECT AVG(depth) FROM marine_protected_areas WHERE ocean IN ('Pacific', 'Atlantic'); | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (vessel_name TEXT, last_inspection_date DATE); CREATE TABLE safety_violations (vessel_name TEXT, violation_date DATE); INSERT INTO vessels (vessel_name, last_inspection_date) VALUES ('Ever Given', '2019-06-15'), ('Titanic Memorial Cruise', '2019-04-15'); INSERT INTO safety_violations (vessel_name, ... | List all vessels with maritime safety violations in the last 3 years. | SELECT vessels.vessel_name FROM vessels INNER JOIN safety_violations ON vessels.vessel_name = safety_violations.vessel_name WHERE safety_violations.violation_date >= vessels.last_inspection_date AND vessels.last_inspection_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE Infrastructure_Budget (quarter INT, year INT, amount INT); INSERT INTO Infrastructure_Budget (quarter, year, amount) VALUES (1, 2021, 500000), (2, 2021, 600000), (3, 2021, 700000), (4, 2021, 800000), (1, 2022, 550000), (2, 2022, 650000), (3, 2022, 750000), (4, 2022, 850000); | What was the total budget allocated for infrastructure development in Q1 2021? | SELECT SUM(amount) as Total_Budget FROM Infrastructure_Budget WHERE quarter = 1 AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE TopDefense.EquipmentSales (id INT, manufacturer VARCHAR(255), equipment_type VARCHAR(255), quantity INT, price DECIMAL(10,2), buyer_country VARCHAR(255), sale_date DATE); | What is the total value of military equipment sales to the Australian government by TopDefense from 2015 to 2020? | SELECT SUM(quantity * price) FROM TopDefense.EquipmentSales WHERE buyer_country = 'Australia' AND manufacturer = 'TopDefense' AND sale_date BETWEEN '2015-01-01' AND '2020-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (id INT PRIMARY KEY, name TEXT, hired_date DATE, language TEXT, cultural_competency_score INT); | What is the total number of community health workers who have been hired in the last year? | SELECT COUNT(*) FROM community_health_workers WHERE hired_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE Harvest (ID INT PRIMARY KEY, AquacultureFacilityID INT, HarvestDate DATE, Quantity INT, FOREIGN KEY (AquacultureFacilityID) REFERENCES AquacultureFacilities(ID)); INSERT INTO Harvest (ID, AquacultureFacilityID, HarvestDate, Quantity) VALUES (3, 3, '2022-04-01', 1500); | How many facilities are there for each species, and what is the total harvest quantity for each species, grouped by species and month? | SELECT af.SpeciesID, f.Name AS SpeciesName, COUNT(af.ID) AS NumFacilities, SUM(h.Quantity) AS TotalHarvestQuantity, DATE_FORMAT(h.HarvestDate, '%%Y-%%m') AS Month FROM AquacultureFacilities af JOIN Species f ON af.SpeciesID = f.ID JOIN Harvest h ON af.ID = h.AquacultureFacilityID GROUP BY af.SpeciesID, f.Name, MONTH(h.... | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_sites (site_id INT, site_name TEXT, location TEXT); INSERT INTO mining_sites (site_id, site_name, location) VALUES (1, 'Sila Copper', 'Nairobi, Kenya'), (2, 'Tumazoz Silver', 'Tangier, Morocco'), (3, 'Kavango Coal', 'Windhoek, Namibia'); CREATE TABLE employees (employee_id INT, name TEXT, gender TEX... | How many employees of underrepresented communities work in each mining site? | SELECT site_name, community, COUNT(*) AS employee_count FROM employees JOIN mining_sites ON employees.mining_site_id = mining_sites.site_id GROUP BY site_name, community; | gretelai_synthetic_text_to_sql |
CREATE TABLE ClientDemographics (ClientID INT, Age INT, Won BOOLEAN); INSERT INTO ClientDemographics (ClientID, Age, Won) VALUES (1, 35, FALSE), (2, 45, TRUE); | What is the maximum age of clients who lost their cases? | SELECT MAX(ClientDemographics.Age) FROM ClientDemographics WHERE ClientDemographics.Won = FALSE; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryTechnologies (id INT, tech_name TEXT, country TEXT, development_cost FLOAT); INSERT INTO MilitaryTechnologies (id, tech_name, country, development_cost) VALUES (1, 'T-14 Armata', 'Russia', 38000000); | List all military technologies used by Russia and their respective development costs. | SELECT MilitaryTechnologies.tech_name, MilitaryTechnologies.development_cost FROM MilitaryTechnologies WHERE MilitaryTechnologies.country = 'Russia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_behavior (user_id INT, post_date DATE, posts_per_day INT); | What is the average number of posts per day for users in 'user_behavior' table? | SELECT AVG(posts_per_day) FROM user_behavior; | gretelai_synthetic_text_to_sql |
CREATE TABLE states (id INT, name VARCHAR(255)); INSERT INTO states (id, name) VALUES (1, 'Florida'); CREATE TABLE water_conservation_initiatives (id INT, name VARCHAR(255)); INSERT INTO water_conservation_initiatives (id, name) VALUES (1, 'InitiativeA'), (2, 'InitiativeB'); CREATE TABLE water_consumption (initiative_i... | What is the total water consumption (in gallons) for each water conservation initiative in the state of Florida in 2020? | SELECT initiative_id, state_id, SUM(consumption) as total_consumption FROM water_consumption WHERE state_id = 1 AND date BETWEEN '2020-01-01' AND '2020-12-31' GROUP BY initiative_id, state_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE grants (grant_id INT, name VARCHAR(50), budget DECIMAL(10,2), project_type VARCHAR(50)); INSERT INTO grants (grant_id, name, budget, project_type) VALUES (1, 'Ethical AI Research', 400000, 'ethical AI'); INSERT INTO grants (grant_id, name, budget, project_type) VALUES (2, 'Accessibility Tech Development', ... | What is the total budget of ethical AI and accessibility tech projects, grouped by project type? | SELECT project_type, SUM(budget) FROM grants WHERE project_type IN ('ethical AI', 'accessibility tech') GROUP BY project_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_offset_projects (id INT PRIMARY KEY, project_name VARCHAR(255), location VARCHAR(255), offset_tons_co2 INT, start_date DATE, end_date DATE); | List all carbon offset projects in 'asia' with offset amount greater than 10000 tons CO2 | SELECT * FROM carbon_offset_projects WHERE location = 'asia' AND offset_tons_co2 > 10000; | gretelai_synthetic_text_to_sql |
CREATE TABLE manufacturing_countries (country VARCHAR(50), manufacturing_sector VARCHAR(50), total_emissions INT); INSERT INTO manufacturing_countries (country, manufacturing_sector, total_emissions) VALUES ('India', 'textile_recycling', 35000), ('China', 'textile_manufacturing', 120000), ('Vietnam', 'garment_productio... | Show the number of records in the 'manufacturing_countries' table | SELECT COUNT(*) FROM manufacturing_countries; | gretelai_synthetic_text_to_sql |
CREATE TABLE fan_demographics (fan_id INTEGER, fan_state TEXT); | How many fans are from CA in the fan_demographics table? | SELECT COUNT(*) FROM fan_demographics WHERE fan_state = 'CA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_providers (provider TEXT, subscribers INT); | Create a view to list top 3 mobile network providers by number of subscribers | CREATE VIEW top_providers AS SELECT provider, subscribers, ROW_NUMBER() OVER (ORDER BY subscribers DESC) as rank FROM mobile_providers; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID INT, DonorName VARCHAR(100), DonationAmount DECIMAL(10,2), DonationDate DATE, ProgramName VARCHAR(100)); INSERT INTO Donations (DonorName, DonationAmount, DonationDate, ProgramName) VALUES (1, 'John Smith', 7500, '2021-05-10', 'Education Fund'), (2, 'Alice Lee', 8500, '2022-01-01', 'D... | Insert a new record of a donation from 'Leila Zhang' of $12000 to the 'Women Empowerment' program on '2022-06-15'. | INSERT INTO Donations (DonorName, DonationAmount, DonationDate, ProgramName) VALUES ('Leila Zhang', 12000, '2022-06-15', 'Women Empowerment'); | gretelai_synthetic_text_to_sql |
CREATE TABLE weather_data (date DATE, location VARCHAR(255), temperature FLOAT, renewable_energy_production FLOAT); INSERT INTO weather_data (date, location, temperature, renewable_energy_production) VALUES ('2022-01-01', 'New York', 32, 50000); | Find the total renewable energy production in 2022 for each location | SELECT location, SUM(renewable_energy_production) FROM weather_data WHERE EXTRACT(YEAR FROM date) = 2022 GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE manufacturers (id INT, name TEXT); INSERT INTO manufacturers (id, name) VALUES (1, 'MNO'), (2, 'PQR'); CREATE TABLE local_suppliers (id INT, manufacturer_id INT, cost FLOAT); INSERT INTO local_suppliers (id, manufacturer_id, cost) VALUES (1, 1, 5000.00), (2, 1, 7000.00), (3, 2, 8000.00); CREATE TABLE mater... | What is the total cost of materials sourced from local suppliers by each manufacturer? | SELECT m.name, SUM(l.cost * m.quantity) FROM manufacturers m JOIN local_suppliers l ON m.id = l.manufacturer_id JOIN materials m ON l.id = m.local_supplier_id GROUP BY m.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE investment (id INT, company_id INT, investor TEXT, year INT, amount FLOAT); INSERT INTO investment (id, company_id, investor, year, amount) VALUES (1, 1, 'Microsoft', 2022, 8000000.0); CREATE TABLE company (id INT, name TEXT, industry TEXT, founder TEXT, PRIMARY KEY (id)); INSERT INTO company (id, name, in... | List the number of investments made in startups founded by persons with disabilities in the last 3 years. | SELECT COUNT(*) FROM investment i JOIN company c ON i.company_id = c.id WHERE c.founder = 'Person with Disability' AND i.year >= (SELECT YEAR(CURRENT_DATE()) - 3); | gretelai_synthetic_text_to_sql |
CREATE TABLE genetic_sequences (gene_id INT, sequence VARCHAR(100), PRIMARY KEY (gene_id)); | Insert a new genetic sequence 'CCGTTCGG' for 'gene_id' = 18 | INSERT INTO genetic_sequences (gene_id, sequence) VALUES (18, 'CCGTTCGG'); | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_hours (practice VARCHAR(255), hours INT); INSERT INTO labor_hours (practice, hours) VALUES ('Green Roofs', 1500), ('Solar Panels', 2000); | What are the total construction labor hours for green roof and solar panel installations? | SELECT SUM(hours) FROM labor_hours WHERE practice IN ('Green Roofs', 'Solar Panels'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_appointments (id INT, gender VARCHAR(50), age INT, appointment_date DATE); INSERT INTO mental_health_appointments (id, gender, age, appointment_date) VALUES (1, 'Female', 30, '2022-01-01'), (2, 'Male', 40, '2022-01-02'), (3, 'Female', 50, '2022-01-03'); | What is the total number of mental health appointments by gender and age group? | SELECT gender, FLOOR(age/10)*10 AS age_group, COUNT(*) FROM mental_health_appointments GROUP BY gender, age_group; | gretelai_synthetic_text_to_sql |
CREATE TABLE VRTechnology (TechID INT PRIMARY KEY, TechName VARCHAR(50), ReleaseDate DATE); INSERT INTO VRTechnology (TechID, TechName, ReleaseDate) VALUES (1, 'VR1', '2016-01-01'), (2, 'VR2', '2020-01-01'), (3, 'VR3', '2022-01-01'); CREATE TABLE PlayerVR (PlayerID INT, TechID INT); INSERT INTO PlayerVR (PlayerID, Tech... | How many VR technologies have been adopted by players from France? | SELECT COUNT(*) FROM PlayerVR JOIN Players ON PlayerVR.PlayerID = Players.PlayerID WHERE Players.Country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE crisis_intervention (donation_id INT, donor VARCHAR(50), amount DECIMAL(10,2), donation_date DATE); INSERT INTO crisis_intervention (donation_id, donor, amount, donation_date) VALUES (1, 'Quick Response (advocacy)', 175.00, '2021-01-15'), (2, 'Mountain Movers (humanitarian aid)', 225.00, '2021-02-05'); | Find the most recent donation date in the 'crisis_intervention' table. | SELECT MAX(donation_date) FROM crisis_intervention; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales_data (sale_id INT, product_id INT, country VARCHAR(50), category VARCHAR(50), revenue DECIMAL(10,2), sale_date DATE); | What are the top 3 beauty product categories with the highest sales in the Asian region? | SELECT category, SUM(revenue) as total_revenue FROM sales_data WHERE sale_date >= '2022-01-01' AND country LIKE 'Asia%' GROUP BY category ORDER BY total_revenue DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT PRIMARY KEY, species_name VARCHAR(255), conservation_status VARCHAR(255)); | Add a new marine species to the 'marine_species' table | INSERT INTO marine_species (id, species_name, conservation_status) VALUES (1005, 'Manta Ray', 'Vulnerable'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Projects (id INT, division VARCHAR(20), total_cost FLOAT); INSERT INTO Projects (id, division, total_cost) VALUES (1, 'water', 500000), (2, 'transportation', 300000), (3, 'water', 750000), (4, 'transportation', 800000), (5, 'transportation', 150000); | What is the average total cost of projects in the transportation division that have an id greater than 2? | SELECT AVG(total_cost) FROM Projects WHERE division = 'transportation' AND id > 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE customer_complaints (complaint_id INT, complaint_type VARCHAR(50), continent VARCHAR(50), complaint_date DATE); INSERT INTO customer_complaints (complaint_id, complaint_type, continent, complaint_date) VALUES (1, 'Billing', 'Asia', '2023-03-01'), (2, 'Network', 'Asia', '2023-03-05'), (3, 'Billing', 'Africa... | What is the distribution of customer complaints by continent in the past month? | SELECT continent, complaint_type, COUNT(*) as complaints, PERCENT_RANK() OVER (PARTITION BY continent ORDER BY complaints DESC) as complaint_percentile FROM customer_complaints WHERE complaint_date >= DATEADD(month, -1, CURRENT_DATE) GROUP BY continent, complaint_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE boroughs (bid INT, borough_name VARCHAR(255)); CREATE TABLE events (eid INT, bid INT, event_date DATE); | What is the total number of community policing events in each borough, sorted by event count? | SELECT b.borough_name, COUNT(e.eid) AS total_event_count FROM boroughs b INNER JOIN events e ON b.bid = e.bid GROUP BY b.borough_name ORDER BY total_event_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intelligence (id INT, country VARCHAR(50), alert_date DATE, alert_level INT); INSERT INTO threat_intelligence (id, country, alert_date, alert_level) VALUES (1, 'X', '2022-01-05', 3), (2, 'Y', '2022-01-07', 4), (3, 'X', '2022-01-10', 2); | What is the average threat level of alerts in country 'Y'? | SELECT AVG(alert_level) FROM threat_intelligence WHERE country = 'Y'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouse (id INT, name VARCHAR(50), total_quantity INT, date DATE); INSERT INTO Warehouse (id, name, total_quantity, date) VALUES (1, 'Warehouse A', 300, '2023-02-01'), (2, 'Warehouse B', 400, '2023-02-01'); | Calculate the total quantity of items in all warehouses for February 2023 | SELECT SUM(total_quantity) FROM Warehouse WHERE date = '2023-02-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Violations (id INT PRIMARY KEY, violation_type VARCHAR(255), offender_name VARCHAR(255), fine INT); | Display all the maritime law violations along with the offender names from the 'Violations' table | SELECT violation_type, offender_name FROM Violations; | gretelai_synthetic_text_to_sql |
CREATE TABLE industrial_water_usage_ca (state VARCHAR(20), year INT, sector VARCHAR(30), usage FLOAT); INSERT INTO industrial_water_usage_ca (state, year, sector, usage) VALUES ('California', 2020, 'Agriculture', 12345.6), ('California', 2020, 'Manufacturing', 23456.7), ('California', 2020, 'Mining', 34567.8); CREATE T... | Compare the average water usage by industrial sectors in California and Texas in 2020. | SELECT AVG(industrial_water_usage_ca.usage) FROM industrial_water_usage_ca WHERE state = 'California' AND year = 2020; SELECT AVG(industrial_water_usage_tx.usage) FROM industrial_water_usage_tx WHERE state = 'Texas' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE product_ingredients (product_id INT, product_category VARCHAR(50), ingredient VARCHAR(50)); INSERT INTO product_ingredients (product_id, product_category, ingredient) VALUES (1009, 'skincare', 'aloe vera'), (1010, 'skincare', 'lavender oil'), (1011, 'haircare', 'coconut oil'), (1012, 'skincare', 'jojoba oi... | Which natural ingredient is most commonly used in skincare products? | SELECT ingredient, COUNT(*) AS ingredient_count FROM product_ingredients WHERE product_category = 'skincare' GROUP BY ingredient ORDER BY ingredient_count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (project_id INT, project_name VARCHAR(100), year INT, location VARCHAR(100)); INSERT INTO projects (project_id, project_name, year, location) VALUES (1, 'Wind Farm', 2018, 'Europe'), (2, 'Solar Farm', 2019, 'Asia'), (3, 'Hydroelectric Dam', 2017, 'South America'), (4, 'Geothermal Plant', 2016, 'Af... | What is the number of climate-related projects financed by year and by continent? | SELECT EXTRACT(YEAR FROM projects.year) AS year, CONCAT(SUBSTRING(location, 1, 3), '...') AS continent, COUNT(*) AS projects_funded FROM projects GROUP BY year, continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_finance (region VARCHAR(50), amount FLOAT, sector VARCHAR(50)); INSERT INTO climate_finance (region, amount, sector) VALUES ('Asia', 6000000, 'Mitigation'), ('Africa', 4000000, 'Mitigation'), ('Europe', 7000000, 'Adaptation'); | Which climate adaptation projects in Europe have received the most climate finance? | SELECT sector, region, MAX(amount) FROM climate_finance WHERE sector = 'Adaptation' AND region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_facilities (id INT, name TEXT, location TEXT); INSERT INTO mental_health_facilities (id, name, location) VALUES (1, 'Facility A', 'City A'); INSERT INTO mental_health_facilities (id, name, location) VALUES (2, 'Facility B', 'City B'); CREATE TABLE populations (city TEXT, size INT); INSERT INT... | List the number of mental health facilities in each city with a population over 750,000 in the US? | SELECT mental_health_facilities.location, COUNT(mental_health_facilities.id) FROM mental_health_facilities INNER JOIN populations ON mental_health_facilities.location = populations.city WHERE populations.size > 750000 GROUP BY mental_health_facilities.location; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name VARCHAR(255), location VARCHAR(255), funding FLOAT); INSERT INTO startups (id, name, location, funding) VALUES (1, 'StartupA', 'California', 15000000); INSERT INTO startups (id, name, location, funding) VALUES (2, 'StartupB', 'Texas', 12000000); INSERT INTO startups (id, name, locati... | What is the total funding amount for biotech startups located in Asia? | SELECT SUM(funding) FROM startups WHERE location = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE property_types (property_type VARCHAR(255), PRIMARY KEY (property_type)); INSERT INTO property_types (property_type) VALUES ('Single Family'), ('Condo'); | Find the difference in the median listing price between single-family homes and condos in Seattle, Washington. | SELECT a.median_price - b.median_price as price_difference FROM (SELECT name, PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY listing_price) as median_price FROM real_estate_listings WHERE city = 'Seattle' AND property_type = 'Single Family' GROUP BY name) a JOIN (SELECT name, PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY li... | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_production (country VARCHAR(50), year INT, plastic_waste_kg_per_capita FLOAT); | Which countries have the highest plastic waste production in 2021? Update the waste_production table with the latest data. | UPDATE waste_production SET plastic_waste_kg_per_capita = 120.5 WHERE country = 'Brazil' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (city_id INT, city_name VARCHAR(50));CREATE TABLE ev_sales (sale_id INT, ev_type VARCHAR(50), sale_city INT);INSERT INTO cities (city_id, city_name) VALUES (1, 'Tokyo'), (2, 'New York');INSERT INTO ev_sales (sale_id, ev_type, sale_city) VALUES (1, 'Tesla Bus', 1), (2, 'Proterra Bus', 2); | Count the number of electric buses in Tokyo and New York | SELECT c.city_name, COUNT(es.ev_type) as num_ebuses FROM cities c JOIN ev_sales es ON c.city_id = es.sale_city WHERE es.ev_type LIKE '%Bus' GROUP BY c.city_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (event_id INT, name VARCHAR(50), movement VARCHAR(50), attendance INT); INSERT INTO events (event_id, name, movement, attendance) VALUES (1, 'Art Exhibit', 'Cubism', 1500); INSERT INTO events (event_id, name, movement, attendance) VALUES (2, 'Theater Performance', 'Surrealism', 850); INSERT INTO eve... | How many events in the 'events' table are associated with each art movement? | SELECT movement, COUNT(*) as num_events FROM events GROUP BY movement; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (artist_id INT, artist_name TEXT, platinum_albums INT, concert_ticket_revenue INT); INSERT INTO Artists (artist_id, artist_name, platinum_albums, concert_ticket_revenue) VALUES (1, 'Beyoncé', 6, 1000000), (2, 'Ed Sheeran', 3, 750000), (3, 'Justin Bieber', 4, 850000); | What is the total revenue from concert ticket sales for artists who have released at least one platinum album? | SELECT SUM(a.concert_ticket_revenue) FROM Artists a WHERE a.platinum_albums > 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE forests (forest_type VARCHAR(255), year INT, carbon_sequestration INT); INSERT INTO forests (forest_type, year, carbon_sequestration) VALUES ('Temperate', 2018, 500), ('Temperate', 2019, 550), ('Temperate', 2020, 600), ('Temperate', 2021, 650), ('Boreal', 2018, 700), ('Boreal', 2019, 750), ('Boreal', 2020,... | What is the carbon sequestration by forest type and year? | SELECT forest_type, year, carbon_sequestration FROM forests; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT PRIMARY KEY, name VARCHAR(255), vessel_type VARCHAR(255), year_built INT); INSERT INTO vessels (id, name, vessel_type, year_built) VALUES (1, 'ABC Tanker', 'Tanker', 2000), (2, 'DEF Bulker', 'Bulker', 2010), (3, 'GHI Container', 'Container', 2015), (4, 'JKL Trawler', 'Trawler', 2008), (5, '... | Update the vessels table to change the name to 'MAIDEN VOYAGE' for the record with an id of 6 | UPDATE vessels SET name = 'MAIDEN VOYAGE' WHERE id = 6; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (student_id INT, grade_level INT); INSERT INTO students (student_id, grade_level) VALUES (1, 6), (2, 7), (3, 8), (4, 9); CREATE TABLE initiatives (initiative_id INT, initiative_name VARCHAR(255), grade_level INT); INSERT INTO initiatives (initiative_id, initiative_name, grade_level) VALUES (1, 'Pr... | What is the number of students who have engaged in open pedagogy initiatives in each grade level? | SELECT s.grade_level, COUNT(DISTINCT e.student_id) as num_students FROM engagements e JOIN students s ON e.student_id = s.student_id JOIN initiatives i ON e.initiative_id = i.initiative_id GROUP BY s.grade_level; | gretelai_synthetic_text_to_sql |
CREATE TABLE LaborStatistics (workerID INT, laborDate DATE, trade VARCHAR(50), hourlyRate DECIMAL(10,2), gender VARCHAR(10)); | What is the average hourly wage for female construction workers in the 'LaborStatistics' table? | SELECT AVG(hourlyRate) AS AverageHourlyWage FROM LaborStatistics WHERE gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE AttorneyBilling (AttorneyID INT, Amount DECIMAL(10, 2)); INSERT INTO AttorneyBilling (AttorneyID, Amount) VALUES (1, 5000.00), (2, 7000.00); | Which attorneys have worked on cases with a high billing amount? | SELECT DISTINCT Attorneys.AttorneyID FROM Attorneys INNER JOIN AttorneyBilling ON Attorneys.AttorneyID = AttorneyBilling.AttorneyID WHERE AttorneyBilling.Amount > 5000; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (id INT, org_name VARCHAR(50), org_type VARCHAR(20)); CREATE TABLE programs (id INT, program_name VARCHAR(50), org_id INT, start_date DATE, end_date DATE); | Which organizations participated in refugee support programs in 2020? | SELECT DISTINCT org_name FROM organizations o JOIN programs p ON o.id = p.org_id WHERE YEAR(p.start_date) = 2020 AND YEAR(p.end_date) = 2020 AND org_type = 'Refugee Support'; | gretelai_synthetic_text_to_sql |
CREATE TABLE initiatives (initiative_id INT, initiative_name VARCHAR(50), country VARCHAR(20), open_pedagogy BOOLEAN); INSERT INTO initiatives (initiative_id, initiative_name, country, open_pedagogy) VALUES (1, 'Open Education Resources', 'USA', TRUE), (2, 'Massive Open Online Courses', 'Canada', TRUE), (3, 'Flipped Cl... | What is the distribution of open pedagogy initiatives by country, with a count of initiatives that use open pedagogy and those that do not? | SELECT country, SUM(CASE WHEN open_pedagogy THEN 1 ELSE 0 END) as num_open, SUM(CASE WHEN NOT open_pedagogy THEN 1 ELSE 0 END) as num_not_open FROM initiatives GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversification_projects (id INT, initiative_name VARCHAR(50), budget INT, location VARCHAR(50)); INSERT INTO diversification_projects VALUES (1, 'Handicraft Production', 30000, 'Asia'), (2, 'Eco-Tourism', 50000, 'Africa'), (3, 'Livestock Farming', 75000, 'Europe'); | List the unique economic diversification initiatives from the 'diversification_projects' table, excluding those that have a budget less than 25000 or are located in 'Asia'. | SELECT DISTINCT initiative_name FROM diversification_projects WHERE budget > 25000 AND location != 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE exoplanets (id INT, name TEXT, discovery_mission TEXT, mass FLOAT); INSERT INTO exoplanets (id, name, discovery_mission, mass) VALUES (1, 'Kepler-186f', 'Kepler', 1.3), (2, 'HD 219134 b', 'TESS', 4.5), (3, 'Pi Mensae c', 'TESS', 12.6), (4, 'Kepler-22b', 'Kepler', 3.9); | What is the maximum mass of any exoplanet discovered by the Kepler space telescope? | SELECT MAX(mass) FROM exoplanets WHERE discovery_mission = 'Kepler'; | gretelai_synthetic_text_to_sql |
CREATE TABLE student_accommodations (student_id INT, accommodation_year INT, accommodation_type VARCHAR(255)); | Delete all records with accommodation_type 'extended_time' | DELETE FROM student_accommodations WHERE accommodation_type = 'extended_time'; | gretelai_synthetic_text_to_sql |
CREATE TABLE midwest_water_usage(sector VARCHAR(20), usage INT, state VARCHAR(20)); INSERT INTO midwest_water_usage(sector, usage, state) VALUES ('Agricultural', 20000000, 'Iowa'), ('Agricultural', 15000000, 'Illinois'), ('Agricultural', 10000000, 'Indiana'); | What is the water usage in the agricultural sector in the Midwest region? | SELECT usage FROM midwest_water_usage WHERE sector = 'Agricultural' AND state IN ('Iowa', 'Illinois', 'Indiana'); | gretelai_synthetic_text_to_sql |
CREATE TABLE otas (ota_id INT, ota_name TEXT, region TEXT); CREATE TABLE virtual_tours (vt_id INT, ota_id INT, engagements INT); INSERT INTO otas (ota_id, ota_name, region) VALUES (1, 'OTA 1', 'Asia'), (2, 'OTA 2', 'Europe'), (3, 'OTA 3', 'Asia'); INSERT INTO virtual_tours (vt_id, ota_id, engagements) VALUES (1, 1, 500... | Which online travel agencies have the highest number of virtual tour engagements in Asia? | SELECT ota_name, SUM(engagements) as total_engagements FROM otas JOIN virtual_tours ON otas.ota_id = virtual_tours.ota_id WHERE region = 'Asia' GROUP BY ota_name ORDER BY total_engagements DESC; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biosensors;CREATE TABLE if not exists biosensors.technologies(id INT, name TEXT, sensitivity FLOAT);INSERT INTO biosensors.technologies(id, name, sensitivity) VALUES (1, 'TechnologyA', 95.2), (2, 'TechnologyB', 98.7), (3, 'TechnologyC', 99.4); | List the top 3 biosensor technologies with the highest sensitivity | SELECT name FROM biosensors.technologies ORDER BY sensitivity DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE books (title VARCHAR(255), author VARCHAR(100), rating DECIMAL(3,2), category VARCHAR(50)); CREATE VIEW children_books AS SELECT DISTINCT title FROM books WHERE category = 'children'; CREATE VIEW authors_from_asia AS SELECT DISTINCT author FROM authors WHERE country IN ('India', 'China', 'Japan', 'South Ko... | Find the average rating of children's books written by authors from Asia. | SELECT AVG(rating) FROM books JOIN children_books ON books.title = children_books.title JOIN authors_from_asia ON books.author = authors_from_asia.author WHERE category = 'children'; | gretelai_synthetic_text_to_sql |
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