context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE inventory (ingredient_id INT, ingredient_name VARCHAR(50), packaging_type VARCHAR(50), quantity INT, order_date DATE); INSERT INTO inventory VALUES (1, 'Tomatoes', 'Plastic', 100, '2022-01-01'), (2, 'Chicken', 'Cardboard', 50, '2022-01-02'), (3, 'Lettuce', 'Biodegradable', 80, '2022-01-03'); CREATE TABLE p... | What is the total waste generated by packaging materials per week? | SELECT SUM(packaging.weekly_waste) FROM inventory INNER JOIN packaging ON inventory.packaging_type = packaging.packaging_type WHERE inventory.order_date >= '2022-01-01' AND inventory.order_date < '2022-01-08'; | gretelai_synthetic_text_to_sql |
CREATE TABLE salaries_dept (id INT, employee VARCHAR(50), department VARCHAR(50), salary DECIMAL(10,2)); INSERT INTO salaries_dept (id, employee, department, salary) VALUES (1, 'John Doe', 'manufacturing', 50000.00), (2, 'Jane Smith', 'engineering', 65000.00), (3, 'Alice Johnson', 'engineering', 60000.00); | Calculate the total salary paid to the 'engineering' department | SELECT SUM(salary) FROM salaries_dept WHERE department = 'engineering'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (well_id INT, field VARCHAR(50), region VARCHAR(50), production_oil FLOAT, production_gas FLOAT, production_date DATE); INSERT INTO wells (well_id, field, region, production_oil, production_gas, production_date) VALUES (1, 'Lula', 'Brazil', 15000.0, 5000.0, '2018-01-01'), (2, 'Buzios', 'Brazil', 8000... | What was the daily average production of oil in 'Brazil' in 2018? | SELECT AVG(production_oil) FROM wells WHERE region = 'Brazil' AND YEAR(production_date) = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE readers (id INT, name VARCHAR(50), age INT, preferred_category VARCHAR(20)); INSERT INTO readers (id, name, age, preferred_category) VALUES (1, 'John Doe', 25, 'Sports'); | What is the average age of readers who prefer 'Entertainment' news category and are from Canada? | SELECT AVG(age) FROM readers WHERE preferred_category = 'Entertainment' AND country = 'Canada' | gretelai_synthetic_text_to_sql |
CREATE TABLE Public_Works (project_id int, project_name varchar(255), state varchar(255), category varchar(255)); | Show the number of public works projects in each state | SELECT state, COUNT(*) FROM Public_Works GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_items (item_id INT, name VARCHAR(255), category VARCHAR(255)); INSERT INTO menu_items (item_id, name, category) VALUES (1, 'Burger', 'Main Course'), (2, 'Salad', 'Side Dish'), (3, 'Pizza', 'Main Course'); | Show the total number of menu items in each category. | SELECT category, COUNT(item_id) as total_items FROM menu_items GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sales (sale_id INT PRIMARY KEY, menu_item VARCHAR(50), sale_quantity INT, sale_price DECIMAL(5,2), sale_date DATE); CREATE TABLE Inventory (inventory_id INT PRIMARY KEY, menu_item VARCHAR(50), inventory_quantity INT, inventory_cost DECIMAL(5,2), inventory_date DATE); CREATE TABLE Menu (menu_item VARCHAR(... | Which menu items have a higher inventory cost than sales revenue in the past month? | SELECT i.menu_item FROM Inventory i JOIN Menu m ON i.menu_item = m.menu_item JOIN Sales s ON i.menu_item = s.menu_item WHERE i.inventory_cost > s.sale_price * s.sale_quantity AND i.inventory_date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE materials (material_id INT, name VARCHAR(255), is_sustainable BOOLEAN); INSERT INTO materials VALUES (1, 'Hemp Fiber', true); INSERT INTO materials VALUES (2, 'Bamboo Fabric', true); INSERT INTO materials VALUES (3, 'Nylon', false); CREATE TABLE inventory (inventory_id INT, material_id INT, factory_id INT,... | Which sustainable materials have the least and most inventory available across all factories? | SELECT material.name, MAX(inventory.quantity) AS max_quantity, MIN(inventory.quantity) AS min_quantity FROM material JOIN inventory ON material.material_id = inventory.material_id WHERE material.is_sustainable = true GROUP BY material.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (PolicyID INT, Age INT, Region VARCHAR(10)); INSERT INTO Policyholders (PolicyID, Age, Region) VALUES (1, 35, 'RegionA'), (2, 42, 'RegionB'); | Find the average age of policyholders in 'RegionA' and 'RegionB'. | SELECT AVG(Age) FROM Policyholders WHERE Region IN ('RegionA', 'RegionB'); | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_incidents (vessel_id INT, incident_date DATE, vessel_type VARCHAR(50)); | What is the number of vessels that had a safety incident in the past year, by vessel type? | SELECT vessel_type, COUNT(*) FROM safety_incidents WHERE incident_date >= DATEADD(year, -1, GETDATE()) GROUP BY vessel_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE CityData (city VARCHAR(50), age INT); INSERT INTO CityData (city, age) VALUES ('CityA', 35), ('CityA', 40), ('CityB', 28), ('CityB', 32); | What is the average age of residents in 'CityData' table, grouped by city? | SELECT city, AVG(age) FROM CityData GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE city (id INT, name VARCHAR(255), population INT, sustainable_projects INT); INSERT INTO city (id, name, population, sustainable_projects) VALUES (1, 'San Francisco', 884363, 450); INSERT INTO city (id, name, population, sustainable_projects) VALUES (2, 'Los Angeles', 4000000, 650); CREATE TABLE building (i... | What is the average size of green buildings in city 1? | SELECT AVG(size) as avg_size FROM building WHERE city_id = 1 AND is_green = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE regulatory_frameworks (framework_id INT, asset_id INT, country VARCHAR(255), name VARCHAR(255), description TEXT); | What are the regulatory frameworks for a specific digital asset? | SELECT rf.name, rf.description FROM regulatory_frameworks rf JOIN digital_assets da ON rf.asset_id = da.asset_id WHERE da.name = 'Ethereum'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_development (id INT PRIMARY KEY, name VARCHAR(255), description TEXT, start_date DATE, end_date DATE); | Delete records with no end_date in the community_development table | WITH cte AS (DELETE FROM community_development WHERE end_date IS NULL) SELECT * FROM cte; | gretelai_synthetic_text_to_sql |
CREATE TABLE RenewableEnergy (ProjectID INT, CO2EmissionReduction FLOAT); | What is the maximum CO2 emission reduction of renewable energy projects in the RenewableEnergy schema? | select max(CO2EmissionReduction) as max_reduction from RenewableEnergy; | gretelai_synthetic_text_to_sql |
CREATE TABLE Countries (id INT PRIMARY KEY, country VARCHAR(50), region VARCHAR(50)); INSERT INTO Countries (id, country, region) VALUES (1, 'USA', 'North America'); INSERT INTO Countries (id, country, region) VALUES (2, 'Canada', 'North America'); | What is the total transaction amount per country, excluding the Gaming category? | SELECT c.country, SUM(t.amount) FROM Transactions t INNER JOIN Users u ON t.user_id = u.id INNER JOIN Countries c ON u.country = c.country INNER JOIN Smart_Contracts sc ON t.smart_contract_id = sc.id WHERE sc.category != 'Gaming' GROUP BY c.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE RuralInfrastructure (id INT, project_id INT, type VARCHAR(255), sector VARCHAR(255), jobs_created INT); CREATE TABLE AgriculturalProjects (id INT, project_name VARCHAR(255), location VARCHAR(255), start_date DATE, end_date DATE, budget FLOAT); INSERT INTO AgriculturalProjects (id, project_name, location, s... | How many jobs have been created in rural infrastructure projects by sector? | SELECT AgriculturalProjects.location, RuralInfrastructure.sector, SUM(RuralInfrastructure.jobs_created) as total_jobs_created FROM AgriculturalProjects INNER JOIN RuralInfrastructure ON AgriculturalProjects.id = RuralInfrastructure.project_id WHERE AgriculturalProjects.location LIKE 'Village%' GROUP BY AgriculturalProj... | gretelai_synthetic_text_to_sql |
CREATE TABLE network_investments (quarter VARCHAR(10), region VARCHAR(10), investment FLOAT); INSERT INTO network_investments (quarter, region, investment) VALUES ('Q1', 'Asia', 500000.0), ('Q2', 'Asia', 600000.0); | What is the average network investment per quarter in the 'Asia' region? | SELECT quarter, AVG(investment) FROM network_investments WHERE region = 'Asia' GROUP BY quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (country VARCHAR(50), population INT); INSERT INTO countries (country, population) VALUES ('China', 1439323776), ('USA', 331002651), ('Russia', 145934462), ('India', 1380004385), ('Japan', 126476461); CREATE TABLE space_agencies (country VARCHAR(50), agency VARCHAR(50)); INSERT INTO space_agencie... | List all space agencies with their corresponding country, including joined data from the 'space_agencies' and 'countries' tables. | SELECT sa.country, sa.agency AS space_agency FROM space_agencies sa INNER JOIN countries c ON sa.country = c.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Advocates (Advocate VARCHAR(30), Program VARCHAR(20), Budget INT); INSERT INTO Advocates (Advocate, Program, Budget) VALUES ('Carlos Gonzalez', 'Low Vision Services', 50000); INSERT INTO Advocates (Advocate, Program, Budget) VALUES ('Fatima Patel', 'Braille Services', 65000); | Who are the advocates and their total budgets for visual support programs? | SELECT Advocate, SUM(Budget) FROM Advocates WHERE Program LIKE '%Visual%' GROUP BY Advocate; | gretelai_synthetic_text_to_sql |
CREATE TABLE AssetRegulatoryDurations (AssetID int, AssetType varchar(50), RegulatoryStatus varchar(50), Duration int); INSERT INTO AssetRegulatoryDurations (AssetID, AssetType, RegulatoryStatus, Duration) VALUES (1, 'Cryptocurrency', 'Regulated', 36), (2, 'Security Token', 'Partially Regulated', 12), (3, 'Utility Toke... | What is the average regulatory status duration for digital assets? | SELECT AssetType, AVG(Duration) as AvgRegulatoryDuration FROM AssetRegulatoryDurations GROUP BY AssetType; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Department VARCHAR(50), Gender VARCHAR(10), Salary FLOAT, HireDate DATE); INSERT INTO Employees (EmployeeID, Department, Gender, Salary, HireDate) VALUES (1, 'IT', 'Male', 85000, '2021-04-20'), (2, 'HR', 'Female', 75000, '2019-12-15'), (3, 'IT', 'Female', 80000, '2020-01-08'), (4... | What is the average salary of employees in the IT department hired after January 2020? | SELECT AVG(Salary) FROM Employees WHERE Department = 'IT' AND HireDate > '2020-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, age INT, diagnosis VARCHAR(20), location VARCHAR(20)); INSERT INTO patients (id, age, diagnosis, location) VALUES (1, 50, 'diabetes', 'rural'), (2, 45, 'diabetes', 'rural'), (3, 60, 'not diabetes', 'urban'); | What is the average age of patients diagnosed with diabetes in rural areas? | SELECT AVG(age) FROM patients WHERE diagnosis = 'diabetes' AND location = 'rural'; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (id INT, player TEXT, country TEXT, points_scored INT); INSERT INTO games (id, player, country, points_scored) VALUES (1, 'Raj Singh', 'IND', 12), (2, 'Priya Patel', 'IND', 16), (3, 'Amit Kumar', 'IND', 10); | What is the average points scored by players from India in a single game? | SELECT AVG(points_scored) FROM games WHERE country = 'IND'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_development_initiatives (id INT, country VARCHAR(255), size_ha FLOAT, completion_date DATE); INSERT INTO community_development_initiatives (id, country, size_ha, completion_date) VALUES (1, 'Kenya', 50.2, '2016-03-01'), (2, 'Kenya', 32.1, '2017-08-15'), (3, 'Tanzania', 45.6, '2018-09-22'); | What is the average size, in hectares, of community development initiatives in Kenya that were completed after 2015? | SELECT AVG(size_ha) FROM community_development_initiatives WHERE country = 'Kenya' AND completion_date >= '2015-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE bridges (id INT, name VARCHAR(50), division VARCHAR(50), maintenance_date DATE); INSERT INTO bridges (id, name, division, maintenance_date) VALUES (1, 'Bridge A', 'Transportation', '2024-02-01'), (2, 'Bridge B', 'Transportation', '2023-07-15'), (3, 'Bridge C', 'Transportation', '2025-03-20'); | Identify the bridges in the transportation division that require maintenance in the next 6 months and display their maintenance schedule. | SELECT name, maintenance_date FROM bridges WHERE division = 'Transportation' AND maintenance_date BETWEEN CURDATE() AND DATE_ADD(CURDATE(), INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE dapps (name VARCHAR(255), category VARCHAR(50), transaction_count INT); INSERT INTO dapps (name, category, transaction_count) VALUES ('App1', 'DeFi', 500), ('App2', 'Gaming', 200), ('App3', 'DeFi', 800); | What are the names and transaction counts of decentralized applications in the 'DeFi' category? | SELECT name, transaction_count FROM dapps WHERE category = 'DeFi'; | gretelai_synthetic_text_to_sql |
CREATE TABLE bsc_smart_contracts (contract_id INT, contract_address VARCHAR(40), network VARCHAR(20)); INSERT INTO bsc_smart_contracts (contract_id, contract_address, network) VALUES (1, '0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c', 'Binance Smart Chain'); CREATE TABLE bsc_smart_contract_transactions (transaction_id IN... | What is the maximum transaction value for 'Wrapped Ether' smart contract on the 'Binance Smart Chain'? | SELECT MAX(t.value) as max_value FROM bsc_smart_contracts c JOIN bsc_smart_contract_transactions t ON c.contract_id = t.contract_id WHERE c.contract_address = '0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c' AND c.network = 'Binance Smart Chain' AND c.contract_name = 'Wrapped Ether'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (Artist VARCHAR(50), Artwork VARCHAR(50), Year INT); INSERT INTO Artworks | Find the number of artworks by each artist in the 'Artworks' table | SELECT Artist, COUNT(Artwork) as ArtworkCount FROM Artworks GROUP BY Artist | gretelai_synthetic_text_to_sql |
CREATE TABLE Stations (StationID INT, StationName VARCHAR(50), RouteID INT, IsStart VARCHAR(50)); INSERT INTO Stations (StationID, StationName, RouteID, IsStart) VALUES (1, 'StationA', 1, 'true'), (2, 'StationB', 1, 'false'), (3, 'StationC', 1, 'false'), (4, 'StationD', 2, 'true'), (5, 'StationE', 2, 'false'), (6, 'Sta... | What is the most frequently used boarding station for each route? | SELECT RouteID, StationName FROM Stations S1 WHERE IsStart = 'true' AND NOT EXISTS (SELECT * FROM Stations S2 WHERE S2.RouteID = S1.RouteID AND S2.IsStart = 'true' AND S2.StationID > S1.StationID); | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_conditions (patient_id INT, condition VARCHAR(50), state VARCHAR(50)); INSERT INTO mental_health_conditions (patient_id, condition, state) VALUES (1, 'Anxiety', 'California'), (2, 'Depression', 'California'); CREATE TABLE treatment_approaches (patient_id INT, approach VARCHAR(50), duration IN... | What is the total number of patients treated with CBT and medication in California? | SELECT SUM(duration) FROM (SELECT duration FROM treatment_approaches WHERE approach IN ('CBT', 'Medication') AND patient_id IN (SELECT patient_id FROM mental_health_conditions WHERE state = 'California') GROUP BY patient_id) AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE multimodal_systems (id INT, city VARCHAR(20), num_systems INT); INSERT INTO multimodal_systems (id, city, num_systems) VALUES (1, 'New York', 3), (2, 'Chicago', 2); | How many public transportation systems support multimodal travel in New York? | SELECT num_systems FROM multimodal_systems WHERE city = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE shrimp_farms (id INT, name TEXT, country TEXT, water_depth FLOAT); INSERT INTO shrimp_farms (id, name, country, water_depth) VALUES (1, 'Farm R', 'Vietnam', 6.2); INSERT INTO shrimp_farms (id, name, country, water_depth) VALUES (2, 'Farm S', 'Vietnam', 7.5); INSERT INTO shrimp_farms (id, name, country, wat... | What is the maximum water depth for shrimp farms in Vietnam? | SELECT MAX(water_depth) FROM shrimp_farms WHERE country = 'Vietnam'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Attorneys (AttorneyID INT PRIMARY KEY, Gender VARCHAR(6), Name VARCHAR(255)); INSERT INTO Attorneys (AttorneyID, Gender, Name) VALUES (1, 'Female', 'Sarah Johnson'), (2, 'Male', 'Daniel Lee'), (3, 'Non-binary', 'Jamie Taylor'); CREATE TABLE CaseOutcomes (CaseID INT PRIMARY KEY, AttorneyID INT, Outcome VARC... | How many cases were won by attorneys who identify as female? | SELECT COUNT(*) FROM CaseOutcomes JOIN Attorneys ON CaseOutcomes.AttorneyID = Attorneys.AttorneyID WHERE Attorneys.Gender = 'Female' AND Outcome = 'Won'; | gretelai_synthetic_text_to_sql |
CREATE TABLE temperature (temp_id INT, location TEXT, temperature FLOAT); INSERT INTO temperature (temp_id, location, temperature) VALUES (1, 'Arctic', 25.7); | What is the maximum water temperature in the Arctic ocean? | SELECT MAX(temperature) FROM temperature WHERE location = 'Arctic' | gretelai_synthetic_text_to_sql |
CREATE TABLE forest (id INT, name TEXT, region TEXT, is_fsc_certified BOOLEAN); | What is the total area of forests in the temperate region that have been certified as sustainable by the Forest Stewardship Council (FSC)? | SELECT SUM(area_sqkm) FROM forest WHERE region = 'temperate' AND is_fsc_certified = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE broadband_subscribers (subscriber_id INT, last_usage DATE); INSERT INTO broadband_subscribers (subscriber_id, last_usage) VALUES (1, '2021-06-01'), (2, '2021-02-15'), (3, '2021-01-05'), (4, '2021-07-20'); | Delete inactive broadband subscribers who haven't used the service in the last 6 months? | DELETE FROM broadband_subscribers WHERE last_usage < DATE_SUB(CURDATE(), INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE ProjectTimeline (permit_id INT, project_type VARCHAR(255), duration INT, issue_year INT); INSERT INTO ProjectTimeline (permit_id, project_type, duration, issue_year) VALUES (1, 'residential', 120, 2021), (2, 'commercial', 180, 2022); | What is the average duration of residential permits issued in 2021? | SELECT AVG(duration) FROM ProjectTimeline WHERE project_type = 'residential' AND issue_year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE farm_asia (farm_id INT, country VARCHAR(255), density FLOAT); INSERT INTO farm_asia (farm_id, country, density) VALUES (1, 'Japan', 50), (2, 'Japan', 60), (3, 'South Korea', 70), (4, 'South Korea', 80); | Determine the average stocking density of fish farms in Japan and South Korea. | SELECT AVG(density) FROM farm_asia WHERE country IN ('Japan', 'South Korea'); | gretelai_synthetic_text_to_sql |
CREATE TABLE productivity (id INT PRIMARY KEY, company VARCHAR(100), value DECIMAL(5,2)); | Insert new labor productivity data | INSERT INTO productivity (company, value) VALUES ('Teck Resources', 320); | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (port_id INT, port_name VARCHAR(100), country VARCHAR(100)); INSERT INTO ports (port_id, port_name, country) VALUES (1, 'Port of Rotterdam', 'Netherlands'); CREATE TABLE cargo_ships (ship_id INT, ship_name VARCHAR(100), port_id INT, container_size INT); INSERT INTO cargo_ships (ship_id, ship_name, po... | What is the maximum container size of cargo ships from South American countries that docked at the Port of Rotterdam? | SELECT MAX(container_size) FROM cargo_ships WHERE country = 'South America' AND port_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE digital_assets (asset_id INT, name VARCHAR(255), market_cap DECIMAL(18,2)); INSERT INTO digital_assets (asset_id, name, market_cap) VALUES (1, 'Bitcoin', 1000000000000.00), (2, 'Ethereum', 300000000000.00); CREATE TABLE transactions (transaction_id INT, asset_id INT, value DECIMAL(18,2)); INSERT INTO trans... | What is the total number of transactions and their combined value for digital assets with a market cap greater than $1 billion? | SELECT SUM(value) AS total_value, COUNT(*) AS total_transactions FROM transactions JOIN digital_assets ON transactions.asset_id = digital_assets.asset_id WHERE digital_assets.market_cap > 1000000000; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtSales (id INT, painting_name VARCHAR(50), price FLOAT, sale_date DATE, painting_style VARCHAR(20), sale_location VARCHAR(30)); INSERT INTO ArtSales (id, painting_name, price, sale_date, painting_style, sale_location) VALUES (1, 'Painting1', 9000, '2011-01-01', 'Cubism', 'USA'); | Average revenue of Cubism paintings sold worldwide since 2010? | SELECT AVG(price) FROM ArtSales WHERE painting_style = 'Cubism' AND sale_date >= '2010-01-01'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA mental_health; USE mental_health; CREATE TABLE treatments (patient_id INT, treatment_type VARCHAR(50), treatment_date DATE, country VARCHAR(50)); INSERT INTO treatments VALUES (1, 'CBT', '2019-01-01', 'Canada'); | How many patients were treated with CBT in Canada in 2019? | SELECT COUNT(*) FROM treatments WHERE treatment_type = 'CBT' AND country = 'Canada' AND treatment_date LIKE '2019%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE FoodTrends (trend_name VARCHAR(50), year_of_introduction INT, popularity_score INT, country VARCHAR(50)); INSERT INTO FoodTrends (trend_name, year_of_introduction, popularity_score, country) VALUES ('Vertical Farming', 2016, 80, 'UK'), ('Plant-based Meat Substitutes', 2017, 85, 'UK'), ('Zero-waste Grocery ... | Which sustainable food trends have gained popularity in the UK in the last 5 years? | SELECT trend_name, year_of_introduction, popularity_score FROM FoodTrends WHERE country = 'UK' AND year_of_introduction >= 2016; | gretelai_synthetic_text_to_sql |
CREATE TABLE DefenseProjects (id INT, project_name VARCHAR(100), region VARCHAR(50), start_date DATE, end_date DATE, budget FLOAT); | Insert new defense project record for 'Project X' in the Middle East on 2023-02-15 with a budget of $25 million. | INSERT INTO DefenseProjects (project_name, region, start_date, end_date, budget) VALUES ('Project X', 'Middle East', '2023-02-15', '2023-12-31', 25000000); | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_offset_initiatives (initiative_id INT, location TEXT, carbon_offset_tons FLOAT); INSERT INTO carbon_offset_initiatives (initiative_id, location, carbon_offset_tons) VALUES (1, 'Toronto', 500), (2, 'Montreal', 700), (3, 'Vancouver', 300); | What is the average carbon offset for initiatives in the 'carbon_offset_initiatives' table? | SELECT AVG(carbon_offset_tons) FROM carbon_offset_initiatives; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (id INT, department VARCHAR(20), registered_date DATE); INSERT INTO Volunteers (id, department, registered_date) VALUES (1, 'Animals', '2021-01-01'), (2, 'Education', '2021-02-01'); | What is the total number of volunteers for the 'Education' department in the 'Volunteers' table? | SELECT COUNT(*) FROM Volunteers WHERE department = 'Education' | gretelai_synthetic_text_to_sql |
CREATE TABLE Games (GameID INT, Title VARCHAR(50), Genre VARCHAR(20), Platform VARCHAR(10)); | Insert a new record into the Games table with the title 'CyberSphere', genre 'Action', and platform 'PC'. | INSERT INTO Games (GameID, Title, Genre, Platform) VALUES (1, 'CyberSphere', 'Action', 'PC'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Cases (CaseID INT, CaseType VARCHAR(50)); INSERT INTO Cases (CaseID, CaseType) VALUES (1, 'Civil'); INSERT INTO Cases (CaseID, CaseType) VALUES (2, 'Criminal'); CREATE TABLE CaseBilling (CaseBillingID INT, CaseID INT, BillingID INT); INSERT INTO CaseBilling (CaseBillingID, CaseID, BillingID) VALUES (1, 1, ... | What is the average billing amount per case, by attorney? | SELECT AT.Name, AVG(B.Amount) AS AvgBillingPerCase FROM Attorneys AT JOIN Assignments A ON AT.AttorneyID = A.AttorneyID JOIN CaseBilling CB ON A.AssignmentID = CB.AssignmentID JOIN Billing B ON CB.BillingID = B.BillingID JOIN Cases C ON CB.CaseID = C.CaseID GROUP BY AT.Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE payments (payment_id INT, payment_amount DECIMAL(5,2), vehicle_id INT); INSERT INTO payments (payment_id, payment_amount, vehicle_id) VALUES (1, 2.75, 1000), (2, 3.50, 1001), (3, 2.50, 1000), (4, 4.25, 1003), (5, 1.75, 1002), (6, 3.00, 1001); CREATE TABLE vehicles (vehicle_id INT, vehicle_type VARCHAR(50))... | Show the total fare collected from the payments table, grouped by vehicle type from the vehicles table | SELECT v.vehicle_type, SUM(p.payment_amount) FROM payments p JOIN vehicles v ON p.vehicle_id = v.vehicle_id GROUP BY v.vehicle_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE City_Satisfaction (City VARCHAR(20), Satisfaction_Score INT); INSERT INTO City_Satisfaction (City, Satisfaction_Score) VALUES ('CityH', 7); INSERT INTO City_Satisfaction (City, Satisfaction_Score) VALUES ('CityH', 8); INSERT INTO City_Satisfaction (City, Satisfaction_Score) VALUES ('CityH', 6); | What is the average citizen satisfaction score for CityH? | SELECT City, AVG(Satisfaction_Score) AS 'Average Citizen Satisfaction Score' FROM City_Satisfaction WHERE City = 'CityH' GROUP BY City; | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (well_id INT, name VARCHAR(50), location VARCHAR(50), production FLOAT); INSERT INTO wells (well_id, name, location, production) VALUES (1, 'D1', 'South China Sea', 7000), (2, 'D2', 'South China Sea', 6000), (3, 'D3', 'South China Sea', 8000); | What is the average production of wells in the South China Sea? | SELECT AVG(production) FROM wells WHERE location = 'South China Sea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE provinces (province_name VARCHAR(255), budget INT); INSERT INTO provinces (province_name, budget) VALUES ('Ontario', 7000000), ('Quebec', 6000000), ('British Columbia', 5000000); CREATE TABLE services (service_name VARCHAR(255), province_name VARCHAR(255), budget INT); INSERT INTO services (service_name, p... | Identify the top 3 provinces with the highest budget allocation for education and infrastructure? | SELECT province_name, budget FROM (SELECT province_name, SUM(budget) AS budget FROM services WHERE service_name IN ('education', 'infrastructure') GROUP BY province_name ORDER BY budget DESC) AS subquery LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE FilmLength (genre VARCHAR(20), duration INT); INSERT INTO FilmLength (genre, duration) VALUES ('Drama', 120), ('Drama', 150), ('Action', 80), ('Action', 90); | What is the average duration of films in the drama and action genres? | SELECT AVG(duration) FROM FilmLength WHERE genre IN ('Drama', 'Action'); | gretelai_synthetic_text_to_sql |
CREATE TABLE animal_population (id INT, animal_name VARCHAR(50), population INT); CREATE TABLE endangered_animals (id INT, animal_name VARCHAR(50)); | What are the average population sizes of animals in the 'animal_population' table that are also present in the 'endangered_animals' table? | SELECT AVG(a.population) FROM animal_population a INNER JOIN endangered_animals e ON a.animal_name = e.animal_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_accidents (accident_id INT, accident_date DATE, accident_type VARCHAR(50), method_id INT); INSERT INTO mining_accidents (accident_id, accident_date, accident_type, method_id) VALUES (1, '2020-01-01', 'Equipment Failure', 1), (2, '2020-03-15', 'Gas Explosion', 2), (3, '2019-12-31', 'Fire', 3); | What is the total number of mining accidents by year? | SELECT YEAR(accident_date), COUNT(*) FROM mining_accidents GROUP BY YEAR(accident_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_impact_q2 (site_id INT, impact_score INT, impact_date DATE); INSERT INTO environmental_impact_q2 (site_id, impact_score, impact_date) VALUES (1, 65, '2022-04-10'), (2, 75, '2022-05-22'), (3, 80, '2022-06-30'); | What is the maximum environmental impact score for a mine site in Q2 2022? | SELECT MAX(impact_score) FROM environmental_impact_q2 WHERE impact_date BETWEEN '2022-04-01' AND '2022-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_finance (id INT, project_location VARCHAR(20), finance_type VARCHAR(20), amount INT, finance_year INT); INSERT INTO climate_finance (id, project_location, finance_type, amount, finance_year) VALUES (1, 'Africa', 'Government Grants', 500000, 2015); | Update the amount of climate finance for a specific record in the climate_finance table. | UPDATE climate_finance SET amount = 600000 WHERE id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE sour_streams (week INT, streams_in_week INT); INSERT INTO sour_streams (week, streams_in_week) VALUES (1, 250000), (2, 230000), (3, 220000); | How many streams did the 2021 album release 'Sour' by Olivia Rodrigo receive in its first week? | SELECT streams_in_week FROM sour_streams WHERE week = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping_operations_continents (id INT, operation VARCHAR(50), continent VARCHAR(50)); INSERT INTO peacekeeping_operations_continents (id, operation, continent) VALUES (1, 'Operation United Nations Mission in South Sudan', 'Africa'), (2, 'Operation United Nations Assistance Mission in Somalia', 'Africa... | What is the total number of peacekeeping operations in each continent, ordered by the number of operations in descending order? | SELECT continent, COUNT(operation) as total_operations FROM peacekeeping_operations_continents GROUP BY continent ORDER BY total_operations DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, category VARCHAR(255), date DATE, amount FLOAT); INSERT INTO investments (id, category, date, amount) VALUES (1, 'gender diversity', '2021-02-15', 10000), (2, 'renewable energy', '2020-12-21', 15000), (3, 'gender diversity', '2021-04-03', 13000); | What is the average investment amount in the gender diversity category for the past year? | SELECT AVG(amount) FROM investments WHERE category = 'gender diversity' AND date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE vessel_loading (vessel_type VARCHAR(50), loading_date DATE, total_containers INT); INSERT INTO vessel_loading VALUES ('VesselA', '2022-02-01', 500), ('VesselA', '2022-02-02', 600), ('VesselB', '2022-02-01', 700), ('VesselB', '2022-02-02', 800), ('VesselC', '2022-02-01', 800), ('VesselC', '2022-02-02', 900)... | What is the total number of containers loaded on vessels in February 2022? | SELECT vessel_type, SUM(total_containers) FROM vessel_loading WHERE EXTRACT(MONTH FROM loading_date) = 2 AND EXTRACT(YEAR FROM loading_date) = 2022 GROUP BY vessel_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (PolicyID INT, PolicyholderName TEXT, State TEXT); INSERT INTO Policyholders (PolicyID, PolicyholderName, State) VALUES (1, 'John Smith', 'GA'), (2, 'Jane Doe', 'NY'); CREATE TABLE Claims (ClaimID INT, PolicyID INT, ClaimAmount INT); INSERT INTO Claims (ClaimID, PolicyID, ClaimAmount) VALUES ... | Find policyholders in 'GA' who have not filed any claims. | SELECT Policyholders.* FROM Policyholders LEFT JOIN Claims ON Policyholders.PolicyID = Claims.PolicyID WHERE Claims.PolicyID IS NULL AND Policyholders.State = 'GA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tram_rides(ride_date DATE, revenue FLOAT); INSERT INTO tram_rides (ride_date, revenue) VALUES ('2022-01-01', 3000), ('2022-01-02', 3200); | What is the daily revenue for tram rides in Madrid? | SELECT ride_date, SUM(revenue) AS daily_revenue FROM tram_rides GROUP BY ride_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryExpenditure (id INT, country VARCHAR(255), military_expenditure DECIMAL(10,2), gdp DECIMAL(10,2)); INSERT INTO MilitaryExpenditure (id, country, military_expenditure, gdp) VALUES (1, 'Country1', 0.15, 50000000), (2, 'Country2', 0.20, 60000000), (3, 'Country3', 0.10, 40000000), (4, 'Country4', 0.12,... | What are the top 3 countries with the highest military expenditure as a percentage of GDP? | SELECT country FROM (SELECT country, ROW_NUMBER() OVER (ORDER BY (military_expenditure / gdp) DESC) AS rank FROM MilitaryExpenditure) AS ranked_military_expenditure WHERE rank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_efficiency (year INT, region VARCHAR(255), rating FLOAT); INSERT INTO energy_efficiency (year, region, rating) VALUES (2021, 'North America', 80), (2021, 'South America', 70), (2022, 'North America', 85); | What was the average energy efficiency rating in North America in 2021? | SELECT AVG(rating) FROM energy_efficiency WHERE year = 2021 AND region = 'North America' | gretelai_synthetic_text_to_sql |
CREATE TABLE WastewaterTreatmentPlants (Id INT, Name VARCHAR(100), Location VARCHAR(100), Capacity INT, AnnualTreatmentVolume INT); INSERT INTO WastewaterTreatmentPlants (Id, Name, Location, Capacity, AnnualTreatmentVolume) VALUES (1, 'Plant A', 'City1', 50000, 45000); INSERT INTO WastewaterTreatmentPlants (Id, Name, L... | How many wastewater treatment plants are there in Region1 with a capacity greater than 50000? | SELECT COUNT(*) FROM WastewaterTreatmentPlants WHERE Location = 'Region1' AND Capacity > 50000; | gretelai_synthetic_text_to_sql |
CREATE TABLE RenewableEnergy (factory VARCHAR(50), energy_source VARCHAR(50)); INSERT INTO RenewableEnergy VALUES ('Factory1', 'Renewable'), ('Factory2', 'Non-Renewable'), ('Factory3', 'Renewable'), ('Factory4', 'Non-Renewable'); | How many garment factories in Ethiopia use renewable energy? | SELECT COUNT(*) FROM RenewableEnergy WHERE energy_source = 'Renewable' AND factory LIKE '%Ethiopia%'; | gretelai_synthetic_text_to_sql |
indigenous_communities (community_id, community_name, location_id, population, language_family) | Add new indigenous community record | INSERT INTO indigenous_communities (community_id, community_name, location_id, population, language_family) | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies (id INT, name TEXT, country TEXT); INSERT INTO Companies (id, name, country) VALUES (1, 'Eh Inc', 'Canada'); INSERT INTO Companies (id, name, country) VALUES (2, 'Maple Co', 'Canada'); CREATE TABLE Funding (id INT, company_id INT, investor_type TEXT, amount INT); INSERT INTO Funding (id, company_... | Find the average funding amount for companies founded in Canada, excluding companies that have received funding from crowdfunding platforms. | SELECT AVG(Funding.amount) FROM Companies INNER JOIN Funding ON Companies.id = Funding.company_id WHERE Companies.country = 'Canada' AND Funding.investor_type != 'Crowdfunding' | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainableFabrics (fabric_id INT, fabric_name VARCHAR(50), source_country VARCHAR(50), price DECIMAL(5,2), popularity INT); INSERT INTO SustainableFabrics (fabric_id, fabric_name, source_country, price, popularity) VALUES (1, 'Organic Cotton', 'Brazil', 3.50, 100), (2, 'Recycled Polyester', 'Argentina', 4... | What are the top 3 most popular sustainable fabrics among customers in South America? | SELECT fabric_name, popularity FROM SustainableFabrics WHERE source_country = 'South America' ORDER BY popularity DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_transportation (transport_mode VARCHAR(50), trips INT); | What is the most popular public transportation mode in Berlin? | SELECT transport_mode, MAX(trips) FROM public_transportation WHERE transport_mode LIKE '%Berlin%' GROUP BY transport_mode; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT, name VARCHAR(255), category VARCHAR(255), budget FLOAT); INSERT INTO projects (id, name, category, budget) VALUES (1, 'Road Reconstruction', 'Transportation', 500000.00); | What is the total budget for projects in the transportation category? | SELECT SUM(budget) FROM projects WHERE category = 'Transportation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE DefenseDiplomacy (id INT PRIMARY KEY, event VARCHAR(100), country VARCHAR(50), year INT, participants INT); INSERT INTO DefenseDiplomacy (id, event, country, year, participants) VALUES (1, 'Joint Military Exercise', 'Colombia', 2017, 12); | How many defense diplomacy events occurred in South America in 2017? | SELECT COUNT(*) FROM DefenseDiplomacy WHERE country LIKE '%South America%' AND year = 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, customer_id INT, amount DECIMAL(10,2), transaction_date DATE, currency VARCHAR(50)); CREATE VIEW daily_transactions AS SELECT transaction_date, SUM(amount) as total_amount FROM transactions WHERE transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY transac... | What is the total transaction value by currency for each day in the past month? | SELECT dt.transaction_date, t.currency, SUM(t.amount) as currency_total FROM daily_transactions dt INNER JOIN transactions t ON dt.transaction_date = t.transaction_date GROUP BY dt.transaction_date, t.currency; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals_canada (id INT, name TEXT, budget INT, province TEXT); INSERT INTO hospitals_canada VALUES (1, 'Rural Hospital A', 1000000, 'Alberta'); INSERT INTO hospitals_canada VALUES (2, 'Rural Hospital B', 1500000, 'British Columbia'); CREATE TABLE clinics_canada (id INT, name TEXT, budget INT, province TE... | What is the total budget allocated to rural hospitals and clinics in Canada, grouped by province? | SELECT province, SUM(budget) FROM hospitals_canada GROUP BY province UNION SELECT province, SUM(budget) FROM clinics_canada GROUP BY province; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, age INT, gender TEXT, country TEXT); INSERT INTO patients (patient_id, age, gender, country) VALUES (1, 35, 'Male', 'Australia'); INSERT INTO patients (patient_id, age, gender, country) VALUES (2, 42, 'Female', 'Australia'); CREATE TABLE treatments (treatment_id INT, patient_id IN... | What is the success rate of support groups in Australia? | SELECT ROUND(100.0 * COUNT(CASE WHEN outcome = 'Success' THEN 1 END) / COUNT(*), 2) AS success_rate FROM treatments JOIN patients ON patients.patient_id = treatments.patient_id WHERE patients.country = 'Australia' AND treatments.treatment_type = 'Support Group'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies (id INT, name VARCHAR(50), industry VARCHAR(50), country VARCHAR(50), founding_year INT, founder_lgbtqia VARCHAR(10)); INSERT INTO Companies (id, name, industry, country, founding_year, founder_lgbtqia) VALUES (1, 'TechFair', 'Tech', 'USA', 2019, 'Yes'); INSERT INTO Companies (id, name, industry,... | How many companies were founded by individuals who identify as LGBTQIA+ each year? | SELECT founding_year, COUNT(*) as lgbtqia_count FROM Companies WHERE founder_lgbtqia = 'Yes' GROUP BY founding_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (sector VARCHAR(50), risk_score INT); INSERT INTO investments (sector, risk_score) VALUES ('Education', 3), ('Healthcare', 4), ('Housing', 2), ('Employment', 5), ('Criminal Justice', 3); | What is the average risk score for investments in the healthcare sector? | SELECT AVG(risk_score) as avg_risk_score FROM investments WHERE sector = 'Healthcare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, sector VARCHAR(20), amount DECIMAL(10,2)); INSERT INTO investments (id, sector, amount) VALUES (1, 'education', 15000.00), (2, 'poverty reduction', 18000.00), (3, 'education', 22000.00); | What is the average investment size in the poverty reduction sector? | SELECT AVG(amount) FROM investments WHERE sector = 'poverty reduction'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, program VARCHAR(255)); INSERT INTO volunteers (id, program) VALUES (1, 'Food Security'), (2, 'Education'), (3, 'Environment'); | How many unique volunteers worked on the 'Food Security' and 'Environment' programs? | SELECT COUNT(DISTINCT id) FROM volunteers WHERE program IN ('Food Security', 'Environment'); | gretelai_synthetic_text_to_sql |
CREATE TABLE circular_economy (city VARCHAR(255), year INT, initiative VARCHAR(255)); INSERT INTO circular_economy (city, year, initiative) VALUES ('Paris', 2017, 'Glass waste recycling program'); | Delete the record for circular economy initiative in Paris in 2017. | DELETE FROM circular_economy WHERE city = 'Paris' AND year = 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name TEXT, type TEXT);CREATE TABLE cargoes (id INT, vessel_id INT, tonnage INT); INSERT INTO vessels (id, name, type) VALUES (1, 'Cargo Master', 'Cargo Ship'); INSERT INTO cargoes (id, vessel_id, tonnage) VALUES (1, 1, 10000), (2, 1, 15000); | What is the total tonnage of cargo transported by the 'Cargo Master' vessel in the current year? | SELECT SUM(cargoes.tonnage) FROM cargoes JOIN vessels ON cargoes.vessel_id = vessels.id WHERE vessels.name = 'Cargo Master' AND YEAR(cargoes.id) = YEAR(CURRENT_DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE farm_locations (location VARCHAR, fish_id INT); CREATE TABLE fish_stock (fish_id INT, species VARCHAR, biomass FLOAT); INSERT INTO farm_locations (location, fish_id) VALUES ('Location A', 1), ('Location B', 2), ('Location A', 3), ('Location C', 4); INSERT INTO fish_stock (fish_id, species, biomass) VALUES ... | What is the average biomass of fish for each farming location? | SELECT f.location, AVG(fs.biomass) FROM farm_locations f JOIN fish_stock fs ON f.fish_id = fs.fish_id GROUP BY f.location; | gretelai_synthetic_text_to_sql |
CREATE TABLE organization (org_id INT, org_name TEXT); INSERT INTO organization (org_id, org_name) VALUES (1, 'Volunteers Inc'); INSERT INTO organization (org_id, org_name) VALUES (2, 'Helping Hands'); CREATE TABLE volunteer (vol_id INT, vol_name TEXT, org_id INT, vol_email TEXT); INSERT INTO volunteer (vol_id, vol_nam... | Delete an organization and all associated volunteers | DELETE FROM volunteer WHERE org_id = 1; DELETE FROM organization WHERE org_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu(dish VARCHAR(255), category VARCHAR(255), price DECIMAL(5,2)); INSERT INTO menu(dish, category, price) VALUES ('Tofu Stir Fry', 'Starter', 9.99), ('Lentil Soup', 'Starter', 7.99), ('Chickpea Curry', 'Main', 12.99), ('Tofu Curry', 'Main', 13.99), ('Quinoa Salad', 'Side', 6.99); | Identify dishes with an average price above the overall average price. | SELECT dish, category, price FROM menu WHERE price > (SELECT AVG(price) FROM menu); | gretelai_synthetic_text_to_sql |
CREATE TABLE VESSEL_OPERATION (id INT, vessel_name VARCHAR(50), propulsion VARCHAR(50), status VARCHAR(50), timestamp TIMESTAMP); | Determine the percentage of time vessels with diesel engines spend idling | SELECT 100.0 * COUNT(CASE WHEN propulsion = 'diesel' AND status = 'idle' THEN 1 END) / COUNT(*) FROM VESSEL_OPERATION WHERE propulsion = 'diesel'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainableTourismActivities (activity_id INT, activity_name TEXT, country TEXT, local_economic_impact FLOAT); INSERT INTO SustainableTourismActivities (activity_id, activity_name, country, local_economic_impact) VALUES (1, 'Biking Tour', 'Portugal', 12000.0), (2, 'Hiking Adventure', 'Portugal', 15000.0); | List all the sustainable tourism activities in Portugal and their local economic impact. | SELECT * FROM SustainableTourismActivities WHERE country = 'Portugal'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(100), sales INT, certification VARCHAR(20)); INSERT INTO products (product_id, product_name, sales, certification) VALUES (1, 'Lipstick A', 5000, 'cruelty-free'), (2, 'Mascara B', 7000, 'not_certified'), (3, 'Foundation C', 8000, 'cruelty-free'); CREATE TABLE ... | What are the sales figures for cruelty-free certified cosmetics in the UK market? | SELECT sales FROM products WHERE certification = 'cruelty-free' AND country_code = 'UK'; | gretelai_synthetic_text_to_sql |
CREATE TABLE traffic_accidents (id INT, accident_date DATE, city VARCHAR(50)); INSERT INTO traffic_accidents (id, accident_date, city) VALUES (1, '2021-03-15', 'New York'), (2, '2021-06-20', 'New York'); | How many traffic accidents occurred in New York in 2021? | SELECT COUNT(*) FROM traffic_accidents WHERE accident_date >= '2021-01-01' AND accident_date < '2022-01-01' AND city = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID INT, VisitorID INT, Amount DECIMAL(10,2)); | What's the maximum donation amount given by a visitor from 'Asia'? | SELECT MAX(d.Amount) FROM Donations d JOIN Visitors v ON d.VisitorID = v.VisitorID WHERE v.Country IN (SELECT CountryName FROM Countries WHERE Region = 'Asia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE GamePlay (PlayerID INT, GameName VARCHAR(255), Playtime INT); INSERT INTO GamePlay (PlayerID, GameName, Playtime) VALUES (1, 'Cosmic Racers', 120); INSERT INTO GamePlay (PlayerID, GameName, Playtime) VALUES (2, 'Cosmic Racers', 180); CREATE TABLE Players (PlayerID INT, PlayerAge INT, GameName VARCHAR(255))... | What is the average playtime of 'Cosmic Racers' for players aged 25 or older? | SELECT AVG(GamePlay.Playtime) FROM GamePlay JOIN Players ON GamePlay.PlayerID = Players.PlayerID WHERE Players.PlayerAge >= 25 AND GamePlay.GameName = 'Cosmic Racers'; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, investor_id INT, sector VARCHAR(20), value FLOAT); INSERT INTO investments (id, investor_id, sector, value) VALUES (1, 1, 'Real Estate', 50000.0), (2, 2, 'Real Estate', 75000.0), (3, 3, 'Technology', 60000.0); | What is the total value of investments in the real estate sector? | SELECT SUM(value) FROM investments WHERE sector = 'Real Estate'; | gretelai_synthetic_text_to_sql |
CREATE TABLE freight_forwarders (freight_forwarder_id INT, name VARCHAR(50));CREATE TABLE forwarder_shipments (shipment_id INT, freight_forwarder_id INT, ship_date DATE); INSERT INTO freight_forwarders (freight_forwarder_id, name) VALUES (1, 'ABC Logistics'), (2, 'XYZ Shipping'), (3, '123 Cargo'); INSERT INTO forwarder... | Which freight forwarders have not had any shipments in the last 60 days? | SELECT name FROM freight_forwarders LEFT JOIN forwarder_shipments ON freight_forwarders.freight_forwarder_id = forwarder_shipments.freight_forwarder_id WHERE forwarder_shipments.ship_date IS NULL OR forwarder_shipments.ship_date < DATE(NOW()) - INTERVAL 60 DAY; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists water_demand (id INT PRIMARY KEY, city VARCHAR(50), water_demand FLOAT); CREATE TABLE if not exists water_price (id INT PRIMARY KEY, city VARCHAR(50), price FLOAT); CREATE TABLE if not exists water_treatment_plants (id INT PRIMARY KEY, city VARCHAR(50), num_treatment_plants INT); CREATE VIEW ... | What is the water demand and water price by city, and how many water treatment plants serve each city? | SELECT wdp.city, AVG(wdp.water_demand) as avg_water_demand, AVG(wdp.price) as avg_price, wt.num_treatment_plants FROM water_demand_price wdp JOIN water_treatment_plants wt ON wdp.city = wt.city GROUP BY wt.city; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpacecraftVisits (spacecraft_id INT, planet VARCHAR(50), visit_date DATE); CREATE TABLE Spacecraft (id INT, name VARCHAR(50), manufacturer VARCHAR(50)); INSERT INTO Spacecraft (id, name, manufacturer) VALUES (1, 'Voyager 1', 'SpaceCorp'), (2, 'Cassini', 'NASA'), (3, 'InSight', 'JPL'), (4, 'Perseverance', '... | Identify the spacecraft that have not visited any planet? | SELECT Spacecraft.name FROM Spacecraft LEFT JOIN SpacecraftVisits ON Spacecraft.id = SpacecraftVisits.spacecraft_id WHERE SpacecraftVisits.planet IS NULL; | gretelai_synthetic_text_to_sql |
fan_stats; fan_demographics | Show the average amount spent by fans in each city | SELECT city, AVG(total_spent) as avg_spent FROM fan_stats INNER JOIN fan_demographics ON fan_stats.fan_id = fan_demographics.id GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_operations (id INT, mine_name TEXT, location TEXT, material TEXT, quantity INT, date DATE); INSERT INTO mining_operations (id, mine_name, location, material, quantity, date) VALUES (2, 'Silver Ridge', 'Peru', 'silver', 5000, '2019-01-01'); | List all mines in Peru that mined silver in 2019 | SELECT DISTINCT mine_name FROM mining_operations WHERE material = 'silver' AND location = 'Peru' AND date = '2019-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (vessel_id INT, vessel_name VARCHAR(50), registry VARCHAR(50), capacity INT); INSERT INTO vessels (vessel_id, vessel_name, registry, capacity) VALUES (1, 'CSCL Globe', 'China', 197500), (2, 'OOCL Hong Kong', 'Hong Kong', 210000), (3, 'MSC Maya', 'Panama', 192240); | What is the total cargo capacity for all vessels in the 'vessels' table that have an even ID? | SELECT SUM(capacity) FROM vessels WHERE MOD(vessel_id, 2) = 0; | gretelai_synthetic_text_to_sql |
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