context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE farm_regions (farm_id INT, biomass FLOAT, region VARCHAR(50)); INSERT INTO farm_regions (farm_id, biomass, region) VALUES (1, 250.3, 'Latin America'), (2, 320.5, 'Latin America'), (3, 180.7, 'Latin America'), (4, 450.9, 'Latin America'), (5, 220.1, 'Latin America'), (6, 370.2, 'Latin America'); CREATE TABL... | What is the total biomass of fish in farms in the Latin America region for each species? | SELECT species, SUM(biomass) FROM farm_regions JOIN species_farms ON farm_regions.farm_id = species_farms.farm_id WHERE region = 'Latin America' GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE claims (claim_id INT, policyholder_id INT, claim_amount DECIMAL(10, 2), claim_date DATE); INSERT INTO claims (claim_id, policyholder_id, claim_amount, claim_date) VALUES (1, 3, 500.00, '2022-01-01'); INSERT INTO claims (claim_id, policyholder_id, claim_amount, claim_date) VALUES (2, 3, 750.00, '2022-02-01'... | Identify the policyholder with the most claims in California. | SELECT policyholder_id, COUNT(*) as total_claims FROM claims WHERE state = 'California' GROUP BY policyholder_id ORDER BY total_claims DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Transparency (transparency_id INT, product_id INT, is_cruelty_free BOOLEAN); INSERT INTO Transparency (transparency_id, product_id, is_cruelty_free) VALUES (1, 1, TRUE); CREATE TABLE Sales (sales_id INT, product_id INT, quantity INT, sales_date DATE); INSERT INTO Sales (sales_id, product_id, quantity, sale... | Which cruelty-free skincare products have the highest sales quantity? | SELECT Product.product_name, SUM(Sales.quantity) as total_quantity FROM Product INNER JOIN Transparency ON Product.product_id = Transparency.product_id INNER JOIN Sales ON Product.product_id = Sales.product_id WHERE Transparency.is_cruelty_free = TRUE AND Product.category = 'Skincare' GROUP BY Product.product_name ORDE... | gretelai_synthetic_text_to_sql |
CREATE TABLE charging_stations (id INT, city VARCHAR(20), operator VARCHAR(20), num_chargers INT, open_date DATE); | Update the 'operator' column to 'BC Hydro' for all records in the 'charging_stations' table where 'city' is 'Vancouver' | UPDATE charging_stations SET operator = 'BC Hydro' WHERE city = 'Vancouver'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA MarineLife; CREATE TABLE OceanFloorMapping (site_id INT, depth FLOAT); INSERT INTO OceanFloorMapping (site_id, depth) VALUES (1, 3456.2), (2, 1234.5), (3, 5678.9); | What is the average depth of ocean floor mapping project sites in the 'MarineLife' schema? | SELECT AVG(depth) FROM MarineLife.OceanFloorMapping; | gretelai_synthetic_text_to_sql |
CREATE TABLE Library(Year INT, Location VARCHAR(10), Number INT); INSERT INTO Library VALUES (2018, 'Urban', 15), (2018, 'Rural', 5), (2019, 'Urban', 18), (2019, 'Rural', 4), (2020, 'Urban', 20), (2020, 'Rural', 3); | How many public libraries were there in urban areas in 2019? | SELECT SUM(Number) FROM Library WHERE Year = 2019 AND Location = 'Urban'; | gretelai_synthetic_text_to_sql |
CREATE TABLE product_reviews (product_id INT, is_halal BOOLEAN, market VARCHAR(10), rating INT); INSERT INTO product_reviews (product_id, is_halal, market, rating) VALUES (1, true, 'AU', 4), (2, false, 'CA', 3), (3, true, 'AU', 5); | What is the average rating for halal cosmetics in the Australian market? | SELECT AVG(rating) FROM product_reviews pr WHERE pr.is_halal = true AND pr.market = 'AU'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PlayerDemographics (PlayerID INT, GamePlatform VARCHAR(10)); INSERT INTO PlayerDemographics (PlayerID, GamePlatform) VALUES (1, 'Mobile'), (2, 'PC'), (3, 'Mobile'), (4, 'Console'); | What is the percentage of players who prefer mobile games? | SELECT (COUNT(*) FILTER(WHERE GamePlatform = 'Mobile') * 100.0 / COUNT(*)) AS Percentage FROM PlayerDemographics; | gretelai_synthetic_text_to_sql |
CREATE TABLE Factories (FactoryID INT, Company VARCHAR(50), Location VARCHAR(50)); CREATE TABLE Production (ProductionID INT, FactoryID INT, Material VARCHAR(50), Quantity INT, Price DECIMAL(5,2)); INSERT INTO Factories VALUES (1,'Green Enterprises','Country A'),(2,'Green Enterprises','Country B'),(3,'Another Company',... | Find the total quantity of sustainable materials used by factories owned by a specific company. | SELECT SUM(Quantity) FROM Production p JOIN Factories f ON p.FactoryID = f.FactoryID WHERE f.Company = 'Green Enterprises' AND Material IN ('Eco-Friendly Material', 'Sustainable Material'); | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT PRIMARY KEY, name VARCHAR(255), age INT, gender VARCHAR(50), country VARCHAR(255), skill_level VARCHAR(50)); INSERT INTO workers (id, name, age, gender, country, skill_level) VALUES (1, 'John Doe', 30, 'Male', 'USA', 'Expert'), (2, 'Jane Doe', 25, 'Female', 'Mexico', 'Intermediate'), (3, 'A... | What is the total number of workers in each country, and the average age of those workers? | SELECT country, COUNT(*) as total_workers, AVG(age) as avg_age FROM workers GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE stations (station_id INT, name VARCHAR(255), latitude DECIMAL(9,6), longitude DECIMAL(9,6)); CREATE TABLE entries (station_id INT, entry_time TIMESTAMP); | Create a view named 'high_traffic_stations' containing stations with more than 1000 entries in the 'entries' table | CREATE VIEW high_traffic_stations AS SELECT s.station_id, s.name FROM stations s JOIN entries e ON s.station_id = e.station_id GROUP BY s.station_id, s.name HAVING COUNT(e.entry_time) > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_equipment_requests (id INT, country VARCHAR(50), year INT, request_count INT); INSERT INTO military_equipment_requests (id, country, year, request_count) VALUES (1, 'Germany', 2020, 150); INSERT INTO military_equipment_requests (id, country, year, request_count) VALUES (2, 'Germany', 2020, 160); I... | What is the number of military equipment maintenance requests in Germany in 2020? | SELECT SUM(request_count) FROM military_equipment_requests WHERE country = 'Germany' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE public.hospitals (id SERIAL PRIMARY KEY, name TEXT, location TEXT); INSERT INTO public.hospitals (name, location) VALUES ('General Hospital', 'California'), ('Children''s Hospital', 'California'), ('Mountain View Hospital', 'California'); CREATE TABLE public.admissions (id SERIAL PRIMARY KEY, hospital TEXT... | List the top three hospitals with the highest number of COVID-19 admissions in California in 2021. | SELECT a.hospital, COUNT(*) FROM public.admissions a JOIN public.hospitals h ON a.hospital = h.name WHERE a.diagnosis = 'COVID-19' AND h.location = 'California' GROUP BY a.hospital ORDER BY COUNT(*) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (id INT, name TEXT);CREATE TABLE policing_events (id INT, city_id INT, year INT, type TEXT); | How many community policing events were held in each city in 2021? | SELECT c.name, COUNT(pe.id) FROM cities c JOIN policing_events pe ON c.id = pe.city_id WHERE pe.year = 2021 GROUP BY c.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE EducationPrograms (program_id INT, city VARCHAR(20), funding_source VARCHAR(20), year INT); INSERT INTO EducationPrograms (program_id, city, funding_source, year) VALUES (1, 'New York', 'Cultural Trust', 2021), (2, 'Miami', 'Cultural Trust', 2021), (3, 'Chicago', 'Cultural Trust', 2021), (4, 'New York', 'A... | Identify the top 2 cities with the highest number of arts education programs funded by 'Arts Foundation' in 2021 and 2022. | SELECT city, COUNT(*) as program_count FROM EducationPrograms WHERE funding_source = 'Arts Foundation' AND year IN (2021, 2022) GROUP BY city ORDER BY program_count DESC LIMIT 2 | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (tour_id INT, location VARCHAR(50), description TEXT, price DECIMAL(5,2)); | Insert a new virtual tour into the "virtual_tours" table for 'Tokyo' with an ID of 23, a description of 'A virtual tour of the Tokyo Skytree', and a price of 20.50 | INSERT INTO virtual_tours (tour_id, location, description, price) VALUES (23, 'Tokyo', 'A virtual tour of the Tokyo Skytree', 20.50); | gretelai_synthetic_text_to_sql |
CREATE TABLE CustomerPreferences (customer_id INT, product_id INT, preference_rating INT, is_halal BOOLEAN, country VARCHAR(50)); INSERT INTO CustomerPreferences (customer_id, product_id, preference_rating, is_halal, country) VALUES (3, 3, 5, true, 'United Kingdom'); | How many unique customers prefer halal products with a rating of 3 or higher in the United Kingdom? | SELECT COUNT(DISTINCT customer_id) as unique_customers FROM CustomerPreferences WHERE preference_rating >= 3 AND is_halal = true AND country = 'United Kingdom'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpacecraftManufacturing (id INT, company VARCHAR(255), cost INT, country VARCHAR(255)); | What was the average cost of spacecraft manufactured by companies in Europe? | SELECT AVG(cost) FROM SpacecraftManufacturing WHERE country IN ('Germany', 'France', 'UK', 'Italy', 'Spain'); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists defense; CREATE TABLE if not exists peacekeeping_operations (id INT PRIMARY KEY, country VARCHAR(50), military_personnel INT); INSERT INTO peacekeeping_operations (id, country, military_personnel) VALUES (1, 'Brazil', 1200), (2, 'USA', 2500), (3, 'Egypt', 1800), (4, 'India', 3000); | What is the average number of military personnel for each country involved in peacekeeping operations? | SELECT AVG(military_personnel) FROM defense.peacekeeping_operations GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_policing (id INT, officer_id INT, event_type VARCHAR(255), attendance INT, timestamp TIMESTAMP); INSERT INTO community_policing (id, officer_id, event_type, attendance, timestamp) VALUES (1, 30, 'Neighborhood Watch', 20, '2021-01-03 14:00:00'); INSERT INTO community_policing (id, officer_id, even... | Find the community policing officers with the highest and lowest attendance? | SELECT officer_id, MIN(attendance) as lowest, MAX(attendance) as highest FROM community_policing GROUP BY officer_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity(year INT, landfill VARCHAR(255), capacity INT); INSERT INTO landfill_capacity VALUES (2018, 'Landfill A', 100000), (2018, 'Landfill B', 150000), (2018, 'Landfill C', 200000), (2019, 'Landfill A', 110000), (2019, 'Landfill B', 155000), (2019, 'Landfill C', 210000), (2020, 'Landfill A', 120... | What is the average landfill capacity in 2019 and 2020? | SELECT AVG(capacity) FROM landfill_capacity WHERE year IN (2019, 2020); | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, investor_id INT, company_id INT, invested_amount FLOAT); CREATE TABLE companies (id INT, socially_responsible BOOLEAN); INSERT INTO investments (id, investor_id, company_id, invested_amount) VALUES (1, 1, 2, 5000), (2, 1, 3, 8000), (3, 2, 1, 7000), (4, 3, 3, 6000); INSERT INTO companie... | What's the average investment in socially responsible companies for each investor? | SELECT i.investor_id, AVG(i.invested_amount) as avg_investment FROM investments i JOIN companies c ON i.company_id = c.id WHERE c.socially_responsible = true GROUP BY i.investor_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE DroughtAssessments (assessment_id INT, region VARCHAR(20), drought_severity VARCHAR(20)); INSERT INTO DroughtAssessments (assessment_id, region, drought_severity) VALUES (1, 'RegionA', 'Moderate'), (2, 'RegionB', 'Severe'), (3, 'RegionC', 'Critical'); | How many drought assessments were conducted in 'DroughtAssessments' table? | SELECT COUNT(assessment_id) FROM DroughtAssessments; | gretelai_synthetic_text_to_sql |
CREATE TABLE police_stations (id INT, name TEXT, city TEXT, avg_fines FLOAT); INSERT INTO police_stations (id, name, city, avg_fines) VALUES (1, 'West End Police', 'London', 500.0), (2, 'Croydon Police', 'London', 400.0); | What is the average amount of fines given by each police station in London? | SELECT name, AVG(avg_fines) as avg_fines FROM police_stations GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE health_metrics (id INT, species VARCHAR(50), metric FLOAT); INSERT INTO health_metrics (id, species, metric) VALUES (1, 'Tilapia', 75.0), (2, 'Catfish', 80.0), (3, 'Salmon', 60.0); | Which aquatic species have health metrics above the average? | SELECT species FROM health_metrics WHERE metric > (SELECT AVG(metric) FROM health_metrics); | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (volunteer_id INT, state VARCHAR(20), total_hours INT, volunteer_year INT); INSERT INTO Volunteers (volunteer_id, state, total_hours, volunteer_year) VALUES (1, 'New Mexico', 15, 2022), (2, 'New Mexico', 20, 2022); | What was the minimum number of hours served by a volunteer in 'New Mexico' in the year 2022? | SELECT MIN(total_hours) FROM Volunteers WHERE state = 'New Mexico' AND volunteer_year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE route (route_id INT, route_name VARCHAR(50)); INSERT INTO route (route_id, route_name) VALUES (1, 'Red Line'); CREATE TABLE fare (fare_id INT, route_id INT, fare_amount DECIMAL(5,2), collection_date DATE); INSERT INTO fare (fare_id, route_id, fare_amount, collection_date) VALUES (1, 1, 3.50, '2022-06-01'),... | What is the total fare collected from the 'Red Line' on June 1st, 2022? | SELECT SUM(fare_amount) FROM fare WHERE route_id = 1 AND collection_date = '2022-06-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID int, Department varchar(20), Degree varchar(50), GraduationYear int); INSERT INTO Employees (EmployeeID, Department, Degree, GraduationYear) VALUES (1, 'IT', 'BS in Computer Science', 2021), (2, 'IT', 'MS in Computer Science', 2019), (3, 'Sales', 'BA in Marketing', 2018), (4, 'Sales',... | Calculate the percentage of employees in each department who are recent college graduates. | SELECT e.Department, ROUND(COUNT(CASE WHEN e.GraduationYear >= YEAR(CURRENT_DATE) - 2 THEN 1 END) * 100.0 / COUNT(*), 1) AS Percent_Recent_Grads FROM Employees e GROUP BY e.Department; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy (country VARCHAR(20), energy_source VARCHAR(20), capacity INT); INSERT INTO renewable_energy (country, energy_source, capacity) VALUES ('Spain', 'Solar', 8000), ('Spain', 'Wind', 25000), ('Spain', 'Hydro', 18000); | Which renewable energy sources are available in Spain and their corresponding capacities? | SELECT energy_source, capacity FROM renewable_energy WHERE country = 'Spain'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_communities (id INT, community_name VARCHAR(255), location VARCHAR(255), country VARCHAR(255), initiative_type VARCHAR(255), start_date DATE, end_date DATE); INSERT INTO rural_communities (id, community_name, location, country, initiative_type, start_date, end_date) VALUES (1, 'Community A', 'Village... | What is the total number of community development initiatives in Country V? | SELECT COUNT(*) FROM rural_communities WHERE country = 'Country V' AND initiative_type = 'Community Development'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Joint_Military_Exercises (id INT, country VARCHAR(50), year INT, allies VARCHAR(50)); | What is the number of joint military exercises conducted by each country with its allies in the last 3 years? | SELECT country, COUNT(country) as joint_exercises FROM Joint_Military_Exercises WHERE year BETWEEN (YEAR(CURRENT_DATE) - 3) AND YEAR(CURRENT_DATE) GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE FiscalYear (fiscal_year INT, year INT); INSERT INTO FiscalYear (fiscal_year, year) VALUES (2021, 2021), (2022, 2022), (2023, 2023); CREATE TABLE IncidentTypes (id INT, type VARCHAR(30)); INSERT INTO IncidentTypes (id, type) VALUES (1, 'Malware'), (2, 'Phishing'), (3, 'Ransomware'), (4, 'Data Breach'); CREA... | What is the total number of cybersecurity incidents reported for each type of incident in FY2021? | SELECT i.type, COUNT(*) FROM Incidents i INNER JOIN FiscalYear fy ON i.fiscal_year_id = fy.id WHERE fy.year = 2021 GROUP BY i.type; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles_by_day (title text, topic text, publish_date date); INSERT INTO articles_by_day (title, topic, publish_date) VALUES ('Article 9', 'investigative journalism', '2022-03-01'); INSERT INTO articles_by_day (title, topic, publish_date) VALUES ('Article 10', 'investigative journalism', '2022-03-02'); | What is the number of articles published per day on 'investigative journalism'? | SELECT EXTRACT(DAY FROM publish_date) as day, COUNT(*) as count FROM articles_by_day WHERE topic = 'investigative journalism' GROUP BY day; | gretelai_synthetic_text_to_sql |
CREATE TABLE AIModels (id INT, model_name VARCHAR(50), organization VARCHAR(50), application_type VARCHAR(50), safety_rating INT), AIOrganizations (id INT, organization VARCHAR(50), region VARCHAR(50)); INSERT INTO AIModels (id, model_name, organization, application_type, safety_rating) VALUES (1, 'AI4Education', 'Micr... | What is the average safety rating of AI models developed for education applications, and how many of these models have been developed by organizations based in Asia? | SELECT AVG(safety_rating) as avg_safety_rating FROM AIModels WHERE application_type = 'Education'; SELECT COUNT(*) as asian_org_count FROM AIOrganizations WHERE region = 'Asia' AND organization IN (SELECT organization FROM AIModels WHERE application_type = 'Education'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Dates (date DATE); CREATE TABLE Sales (sale_id INT, date DATE, product_id INT, quantity INT, cost INT); CREATE TABLE Products (product_id INT, product_name VARCHAR(255), is_fair_trade BOOLEAN); | What is the total cost of fair trade coffee products in the last 6 months? | SELECT SUM(s.cost) as total_cost FROM Sales s JOIN Dates d ON s.date = d.date JOIN Products p ON s.product_id = p.product_id WHERE d.date >= DATE(NOW()) - INTERVAL 6 MONTH AND p.is_fair_trade = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name TEXT, industry TEXT, founding_date DATE, founder_gender TEXT); INSERT INTO company (id, name, industry, founding_date, founder_gender) VALUES (1, 'Omega Inc', 'Renewable Energy', '2017-01-01', 'Non-binary'); INSERT INTO company (id, name, industry, founding_date, founder_gender) VALUE... | Which industries had the highest number of non-binary founded startups in 2017? | SELECT industry, COUNT(*) as num_non_binary_startups FROM company WHERE founding_date >= '2017-01-01' AND founder_gender = 'Non-binary' GROUP BY industry ORDER BY num_non_binary_startups DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE EsportsEvents (EventID INT, EventName VARCHAR(20)); INSERT INTO EsportsEvents (EventID, EventName) VALUES (1, 'ESWC'), (2, 'EVO'), (3, 'BlizzCon'), (4, 'The International'), (5, 'MLG'); CREATE TABLE EventParticipants (EventID INT, PlayerID INT); INSERT INTO EventParticipants (EventID, PlayerID) VALUES (1, ... | List the names of esports events and their respective number of participants, ordered by the number of participants in descending order. | SELECT EsportsEvents.EventName, COUNT(EventParticipants.PlayerID) AS Participants FROM EsportsEvents INNER JOIN EventParticipants ON EsportsEvents.EventID = EventParticipants.EventID GROUP BY EsportsEvents.EventName ORDER BY Participants DESC; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists aerospace;CREATE TABLE if not exists aerospace.flight_safety (id INT, incident VARCHAR(255), incident_date DATE);INSERT INTO aerospace.flight_safety (id, incident, incident_date) VALUES (1, 'Inc1', '2017-01-01'), (2, 'Inc2', '2018-01-01'); | Delete flight safety records from 2017 | DELETE FROM aerospace.flight_safety WHERE incident_date >= '2017-01-01' AND incident_date < '2018-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EnvironmentalImpact (id INT, mine_id INT, region TEXT, year INT, assessment_count INT); INSERT INTO EnvironmentalImpact (id, mine_id, region, year, assessment_count) VALUES (1, 1, 'Region Z', 2015, 3), (2, 1, 'Region Z', 2016, 4), (3, 2, 'Region Y', 2015, 2); | How many environmental impact assessments were conducted in Region Z? | SELECT SUM(assessment_count) FROM EnvironmentalImpact WHERE region = 'Region Z'; | gretelai_synthetic_text_to_sql |
CREATE TABLE humidity_data (humidity DECIMAL(3,1), reading_date DATE, location TEXT); INSERT INTO humidity_data (humidity, reading_date, location) VALUES (82.5, '2021-07-01', 'Sri Lanka'), (85.3, '2021-07-02', 'Sri Lanka'), (79.2, '2021-01-01', 'Sri Lanka'); | What is the average humidity (%) in tea plantations in Sri Lanka during the last month? | SELECT AVG(humidity) FROM humidity_data WHERE location = 'Sri Lanka' AND reading_date > DATE_SUB(CURDATE(), INTERVAL 1 MONTH) AND location LIKE '%tea%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE regulatory_frameworks (framework_id INT, country VARCHAR(100), framework VARCHAR(100)); INSERT INTO regulatory_frameworks (framework_id, country, framework) VALUES (1, 'South Korea', 'FrameworkA'), (2, 'Germany', 'FrameworkB'), (3, 'Australia', 'FrameworkC'); | Show all regulatory frameworks for digital assets in South Korea and Germany? | SELECT framework_id, country, framework FROM regulatory_frameworks WHERE country IN ('South Korea', 'Germany'); | gretelai_synthetic_text_to_sql |
CREATE TABLE esports_events (id INT, player_id INT, event_date DATE, game_type VARCHAR(255)); INSERT INTO esports_events (id, player_id, event_date, game_type) VALUES (1, 1, '2022-01-01', 'FPS'), (2, 1, '2022-02-01', 'RPG'), (3, 2, '2021-12-01', 'FPS'), (4, 2, '2022-01-01', 'FPS'); | What is the number of esports events for each game type? | SELECT game_type, COUNT(DISTINCT id) AS events_count FROM esports_events GROUP BY game_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE oil_rig_years (rig_id INT, region VARCHAR(20), year INT, active INT); INSERT INTO oil_rig_years (rig_id, region, year, active) VALUES (1, 'Brazil', 2018, 1), (2, 'Brazil', 2019, 1), (3, 'Brazil', 2020, 1), (4, 'Nigeria', 2018, 2), (5, 'Nigeria', 2019, 2); | What is the average number of oil rigs active per year in the 'Brazil' region over the last 5 years? | SELECT AVG(active) FROM oil_rig_years WHERE region = 'Brazil' AND year >= 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE innovations (id INT PRIMARY KEY, innovation_name VARCHAR(100), description TEXT, category VARCHAR(50), funding FLOAT); | Insert a new record for a military innovation in the 'innovations' table | INSERT INTO innovations (innovation_name, description, category, funding) VALUES ('Stealth Drone', 'Unmanned aerial vehicle with low radar cross-section', 'Air', 5000000.00); | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, Name TEXT); INSERT INTO Donors VALUES (1, 'John Doe'), (2, 'Jane Smith'), (3, 'Mike Johnson'); CREATE TABLE Donations (DonationID INT, DonorID INT, Amount DECIMAL); INSERT INTO Donations VALUES (1, 1, 50.00), (2, 1, 100.00), (3, 2, 75.00); | Show the number of donations for each donor. | SELECT Donors.Name, COUNT(Donations.DonationID) as NumberOfDonations FROM Donors INNER JOIN Donations ON Donors.DonorID = Donations.DonorID GROUP BY Donors.Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE fairness_evaluations (model_name VARCHAR(255), year INT, fairness_score DECIMAL(5,4)); INSERT INTO fairness_evaluations (model_name, year, fairness_score) VALUES ('ModelA', 2024, 0.85), ('ModelB', 2024, 0.92), ('ModelC', 2024, 0.78), ('ModelD', 2024, 0.88), ('ModelE', 2024, 0.90); | Update fairness evaluations for model 'ModelC' in 2024 | UPDATE fairness_evaluations SET fairness_score = 0.82 WHERE model_name = 'ModelC' AND year = 2024; | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (id INT, name VARCHAR(50)); INSERT INTO programs (id, name) VALUES (1, 'Education Support'), (2, 'Food Assistance'), (3, 'Health Services'); | Insert a new record into the programs table with the following information: id = 4, name = 'Clothing Drive'. | INSERT INTO programs (id, name) VALUES (4, 'Clothing Drive'); | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_management (waste_id INT PRIMARY KEY, waste_type VARCHAR(20)); INSERT INTO waste_management (waste_id, waste_type) VALUES (1, 'Non-Toxic'), (2, 'Toxic'), (3, 'Non-Toxic'), (4, 'Non-Toxic'); | Delete all records in the "waste_management" table where the "waste_type" is 'Non-Toxic' | DELETE FROM waste_management WHERE waste_type = 'Non-Toxic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EnergyStorageProjects ( ProjectID INT, Name VARCHAR(255), Country VARCHAR(255), Type VARCHAR(255) ); | Find the total number of Energy Storage projects in each country? | SELECT Country, COUNT(*) FROM EnergyStorageProjects GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Attorneys (AttorneyID INT, Name VARCHAR(50), PracticeArea VARCHAR(50)); INSERT INTO Attorneys (AttorneyID, Name, PracticeArea) VALUES (1, 'Smith', 'Civil Rights'); INSERT INTO Attorneys (AttorneyID, Name, PracticeArea) VALUES (2, 'Johnson', 'Criminal Law'); CREATE TABLE Billing (BillingID INT, AttorneyID I... | What is the total billing amount for each attorney, by practice area? | SELECT A.PracticeArea, SUM(B.Amount) AS TotalBillingAmount FROM Attorneys A JOIN Billing B ON A.AttorneyID = B.AttorneyID GROUP BY A.PracticeArea; | gretelai_synthetic_text_to_sql |
CREATE TABLE coal_mines (id INT, name VARCHAR(50), location VARCHAR(50), size INT, num_employees INT, co2_emissions INT); INSERT INTO coal_mines VALUES (1, 'Coal Mine 1', 'West Virginia', 450, 350, 25000); INSERT INTO coal_mines VALUES (2, 'Coal Mine 2', 'Wyoming', 600, 400, 30000); INSERT INTO coal_mines VALUES (3, 'C... | What is the total CO2 emission for coal mines that have more than 300 employees? | SELECT SUM(co2_emissions) FROM coal_mines WHERE num_employees > 300; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (ID VARCHAR(20), Name VARCHAR(20), Type VARCHAR(20), AverageSpeed FLOAT); INSERT INTO Vessels VALUES ('V009', 'Vessel I', 'Passenger', 22.5), ('V010', 'Vessel J', 'Passenger', 25.0), ('V011', 'Vessel K', 'Cargo', 15.5); | What is the average speed of all passenger vessels? | SELECT AVG(AverageSpeed) FROM Vessels WHERE Type = 'Passenger'; | gretelai_synthetic_text_to_sql |
CREATE TABLE element_market_value (element VARCHAR(50), market_value DECIMAL(10, 2)); INSERT INTO element_market_value (element, market_value) VALUES ('Neodymium', 110.54), ('Praseodymium', 72.34), ('Dysprosium', 143.87), ('Samarium', 51.76), ('Gadolinium', 42.58); | What is the average market value of rare earth elements? | SELECT AVG(market_value) FROM element_market_value; | gretelai_synthetic_text_to_sql |
CREATE TABLE monorails (id INT, name TEXT, location TEXT, length INT, type TEXT, year INT); INSERT INTO monorails (id, name, location, length, type, year) VALUES (1, 'Las Vegas Monorail', 'Nevada, USA', 6, 'Monorail', 2004); INSERT INTO monorails (id, name, location, length, type, year) VALUES (2, 'Sydney Monorail', 'A... | What are the names, locations, and lengths of monorails constructed after 1995, excluding those in Japan? | SELECT name, location, length FROM monorails WHERE year > 1995 AND location NOT LIKE '%Japan%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, name TEXT, factories TEXT); CREATE TABLE factories (factory_id INT, name TEXT, location TEXT, diversity_score FLOAT); | List the names and locations of all suppliers who have not supplied to any factories with a diversity score above 90. | SELECT suppliers.name, suppliers.location FROM suppliers LEFT JOIN factories ON factories.factory_id = ANY(string_to_array(suppliers.factories, ',')) WHERE factories.factory_id IS NULL OR factories.diversity_score <= 90; | gretelai_synthetic_text_to_sql |
CREATE TABLE Regions (RegionID INT, RegionName VARCHAR(50)); CREATE TABLE SupportServices (ServiceID INT, ServiceName VARCHAR(50), ServiceType VARCHAR(50), Budget DECIMAL(10,2)); INSERT INTO Regions (RegionID, RegionName) VALUES (1, 'Northeast'), (2, 'Southeast'), (3, 'Midwest'), (4, 'South'), (5, 'West'); INSERT INTO ... | Update the budget for the 'ASL Interpreter' service in the 'SupportServices' table. | UPDATE SupportServices SET Budget = 16000 WHERE ServiceName = 'ASL Interpreter'; | gretelai_synthetic_text_to_sql |
CREATE TABLE infectious_disease_tracking_3 (id INT, location TEXT, cases_per_month INT, month TEXT); INSERT INTO infectious_disease_tracking_3 (id, location, cases_per_month, month) VALUES (1, 'Rural A', 10, 'January'), (2, 'Rural B', 15, 'February'), (3, 'Urban A', 20, 'March'), (4, 'Urban A', 5, 'April'); | What is the minimum number of infectious disease tracking cases per month in urban areas, grouped by month? | SELECT month, MIN(cases_per_month) FROM infectious_disease_tracking_3 WHERE location = 'urban' GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE Contracts (Contract_ID INT, Business_Owner VARCHAR(50), Contract_Value DECIMAL(10,2), Award_Date DATE, State VARCHAR(50)); | What is the total value of construction contracts awarded to minority-owned businesses in California during 2018? | SELECT SUM(Contract_Value) FROM Contracts WHERE Business_Owner LIKE '%Minority%' AND State = 'California' AND Award_Date BETWEEN '2018-01-01' AND '2018-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_projects (project_name VARCHAR(50), budget DECIMAL(10,2), year INT); INSERT INTO autonomous_projects (project_name, budget, year) VALUES ('Project Apollo', 7000000, 2018), ('Wayve', 6000000, 2020), ('Project Baidu', 5500000, 2017), ('Project Zoox', 9000000, 2019); | List all autonomous driving research projects with a budget over $5 million. | SELECT * FROM autonomous_projects WHERE budget > 5000000; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (country VARCHAR(50), year INT, recycling_rate FLOAT); INSERT INTO recycling_rates (country, year, recycling_rate) VALUES ('India', 2017, 0.18), ('India', 2018, 0.20); | What is the recycling rate for India in 2017 and 2018? | SELECT year, recycling_rate FROM recycling_rates WHERE country = 'India' ORDER BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE DesignStandard (id INT, standard VARCHAR(50), description TEXT); INSERT INTO DesignStandard (id, standard, description) VALUES (1, 'TAA', 'Transportation Agency of Asia'); | What bridges were built using design standards from the Transportation Agency of Asia (TAA)? | INSERT INTO Infrastructure (id, name, location, type) SELECT 2, 'Bridge 2', 'Country D', 'Steel' FROM DesignStandard WHERE DesignStandard.standard = 'TAA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE team_ticket_sales (team_name VARCHAR(50), sport VARCHAR(20), tickets_sold INT, revenue DECIMAL(10,2)); INSERT INTO team_ticket_sales (team_name, sport, tickets_sold, revenue) VALUES ('Team A', 'Basketball', 1000, 25000.00), ('Team B', 'Soccer', 800, 20000.00), ('Team C', 'Basketball', 1200, 32000.00), ('Te... | What is the total number of tickets sold and the total revenue for teams in the 'Basketball' sport? | SELECT SUM(tickets_sold) AS total_tickets_sold, SUM(revenue) AS total_revenue FROM team_ticket_sales WHERE sport = 'Basketball'; | gretelai_synthetic_text_to_sql |
CREATE TABLE shariah_compliant_finance (id INT, value DECIMAL(10, 2), client_id INT, client_community VARCHAR(50), date DATE); | List all Shariah-compliant financing transactions over $10,000 for clients in the LGBTQ+ community in Q3 2021. | SELECT shariah_compliant_finance.* FROM shariah_compliant_finance WHERE client_community = 'LGBTQ+' AND value > 10000 AND date BETWEEN '2021-07-01' AND '2021-09-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Dishes (id INT, dish VARCHAR(255), vegetarian BOOLEAN, gluten_free BOOLEAN); INSERT INTO Dishes (id, dish, vegetarian, gluten_free) VALUES (1, 'Quinoa Salad', TRUE, TRUE), (2, 'Beef Stew', FALSE, FALSE), (3, 'Vegetable Curry', TRUE, TRUE), (4, 'Chicken Fried Rice', FALSE, FALSE), (5, 'Lentil Soup', TRUE, T... | What is the total count of dishes that are both vegetarian and gluten-free? | SELECT COUNT(*) FROM Dishes WHERE vegetarian = TRUE AND gluten_free = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE job_categories (id INT, name VARCHAR(255)); INSERT INTO job_categories (id, name) VALUES (1, 'Manager'), (2, 'Engineer'), (3, 'Sales'); CREATE TABLE employees (id INT, name VARCHAR(255), job_category_id INT); CREATE TABLE training_programs (id INT, employee_id INT, duration INT); INSERT INTO training_progr... | What is the average training program duration by employee's job category? | SELECT job_categories.name, AVG(training_programs.duration) as avg_duration FROM job_categories JOIN employees ON job_categories.id = employees.job_category_id JOIN training_programs ON employees.id = training_programs.employee_id GROUP BY job_categories.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE accessibility_audits (id INT PRIMARY KEY, university VARCHAR(255), score INT, audit_date DATE); | Insert a new record of an accessibility audit for a university with a score of 90, conducted on January 1, 2022. | INSERT INTO accessibility_audits (university, score, audit_date) VALUES ('University of California, Berkeley', 90, '2022-01-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Sustainable_Practices ( id INT PRIMARY KEY, country_id INT, certification_date DATE, FOREIGN KEY (country_id) REFERENCES Countries(id) ); INSERT INTO Sustainable_Practices (id, country_id, certification_date) VALUES (1, 5, '2019-06-01'); INSERT INTO Sustainable_Practices (id, country_id, certification_date... | Which countries in Africa were certified for sustainable practices in 2019 or earlier? | SELECT c.name FROM Countries c INNER JOIN Sustainable_Practices sp ON c.id = sp.country_id WHERE c.continent = 'Africa' AND sp.certification_date <= '2019-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE unhcr_funding (funding_agency VARCHAR(255), project_type VARCHAR(255), country VARCHAR(255), amount DECIMAL(10,2), year INT); | What was the total amount of funding given by UNHCR to shelter projects in Syria in 2017? | SELECT SUM(amount) FROM unhcr_funding WHERE funding_agency = 'UNHCR' AND project_type = 'shelter' AND country = 'Syria' AND year = 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_facilities (facility_id INT, state TEXT, languages TEXT); INSERT INTO mental_health_facilities (facility_id, state, languages) VALUES (1, 'California', 'English, Spanish'), (2, 'Texas', 'Spanish, French'), (3, 'New York', 'English, Mandarin'); | How many mental health facilities exist in each state that offer services in Spanish? | SELECT state, COUNT(*) FROM mental_health_facilities WHERE languages LIKE '%Spanish%' GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_ownership (id INT, vehicle_type TEXT, owner_type TEXT); | What is the ratio of shared to private electric vehicles in New York City? | SELECT (COUNT(*) FILTER (WHERE owner_type = 'shared')) * 100.0 / COUNT(*) AS shared_ratio FROM vehicle_ownership WHERE vehicle_type = 'electric vehicle' AND owner_type IS NOT NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, City TEXT, AmountDonated DECIMAL); INSERT INTO Donors (DonorID, DonorName, City, AmountDonated) VALUES (1, 'John Doe', 'Seattle', 500.00), (2, 'Jane Smith', 'New York', 300.00); | What was the average donation amount by donors from the city of "Seattle"? | SELECT AVG(AmountDonated) FROM Donors WHERE City = 'Seattle'; | gretelai_synthetic_text_to_sql |
CREATE TABLE furniture_inventory (id INT, item_name VARCHAR(50), price DECIMAL(10, 2), country_of_sale VARCHAR(50), sale_date DATE); INSERT INTO furniture_inventory (id, item_name, price, country_of_sale, sale_date) VALUES (1, 'Wooden Table', 500.00, 'Canada', '2021-09-25'), (2, 'Vintage Chair', 250.00, 'Canada', '2021... | What is the average price of upcycled furniture items sold in Canada? | SELECT AVG(price) FROM furniture_inventory WHERE country_of_sale = 'Canada' AND item_name LIKE '%upcycled%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE african_facilities (facility_id INT, facility_name TEXT, region TEXT); INSERT INTO african_facilities (facility_id, facility_name, region) VALUES (1, 'Facility X', 'West'), (2, 'Facility Y', 'North'), (3, 'Facility Z', 'Central'), (4, 'Facility W', 'East'), (5, 'Facility V', 'South'); | How many chemical manufacturing facilities are there in each region (North, South, Central, East, West) in Africa? | SELECT region, COUNT(*) as facility_count FROM african_facilities GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE journalists (journalist_id INT, journalist_type VARCHAR(20), country VARCHAR(50)); CREATE TABLE articles (article_id INT, journalist_id INT, content_type VARCHAR(20)); INSERT INTO journalists VALUES (1, 'independent', 'France'); INSERT INTO articles VALUES (1, 1, 'opinion'); | What is the number of articles written by independent journalists in Europe? | SELECT COUNT(*) FROM journalists INNER JOIN articles ON journalists.journalist_id = articles.journalist_id WHERE journalists.journalist_type = 'independent' AND country IN ('France', 'Germany', 'Italy'); | gretelai_synthetic_text_to_sql |
CREATE TABLE underwriting (policy_type VARCHAR(10), policy_number INT, state VARCHAR(2)); INSERT INTO underwriting (policy_type, policy_number, state) VALUES ('auto', 12345, 'NY'), ('home', 67890, 'CA'), ('life', 111, 'NY'); | Show the unique states for each policy type in the underwriting database | SELECT DISTINCT policy_type, state FROM underwriting; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_missions (id INT, mission_name VARCHAR(255), country VARCHAR(255), duration FLOAT); INSERT INTO satellite_missions (id, mission_name, country, duration) VALUES (1, 'Sentinel-1A', 'Europe', 780), (2, 'Sentinel-1B', 'Europe', 780), (3, 'Landsat 8', 'USA', 1639), (4, 'ResourceSat-2', 'India', 1500),... | What is the maximum duration of satellite missions for each country? | SELECT country, MAX(duration) as max_duration FROM satellite_missions GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE broadband_subscribers (subscriber_id INT, subscription_type VARCHAR(50), revenue DECIMAL(10, 2)); INSERT INTO broadband_subscribers (subscriber_id, subscription_type, revenue) VALUES (1, 'Residential', 100.00), (2, 'Business', 150.00); | What is the name and subscription type of the broadband subscriber with the highest revenue? | SELECT name, subscription_type FROM broadband_subscribers WHERE revenue = (SELECT MAX(revenue) FROM broadband_subscribers); | gretelai_synthetic_text_to_sql |
CREATE TABLE Branches (branch_id INT, branch_name VARCHAR(255));CREATE TABLE Menu (dish_name VARCHAR(255), branch_id INT);CREATE TABLE Sales (sale_date DATE, dish_name VARCHAR(255), quantity INT); | What is the total quantity of dish A served in all branches last month? | SELECT SUM(quantity) FROM Sales JOIN Menu ON Sales.dish_name = Menu.dish_name WHERE dish_name = 'Dish A' AND sale_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 2 MONTH) AND DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE contracts (id INT, project_id INT, contractor_id INT); | Delete all contracts in the contracts table associated with the contractor with ID 2 | WITH cte AS (DELETE FROM contracts WHERE contractor_id = 2) SELECT * FROM cte; | gretelai_synthetic_text_to_sql |
CREATE TABLE mine (id INT, name VARCHAR(50), location VARCHAR(50)); CREATE TABLE employee (id INT, mine_id INT, gender VARCHAR(10), role VARCHAR(20), salary INT); | What is the number of employees by mine, gender, and role? | SELECT mine.name, employee.gender, employee.role, COUNT(employee.id) FROM employee JOIN mine ON employee.mine_id = mine.id GROUP BY mine.name, employee.gender, employee.role; | gretelai_synthetic_text_to_sql |
CREATE TABLE investment_strategies (strategy_id INT, strategy_name TEXT, investment_date DATE, sector TEXT, amount FLOAT); CREATE TABLE returns (return_id INT, strategy_id INT, return_date DATE, return_amount FLOAT); | Identify top 3 investment strategies by ROI for Q3 2022 in the technology sector. | SELECT strategy_name, 100.0 * SUM(return_amount) / SUM(amount) AS roi FROM investment_strategies s JOIN returns r ON s.strategy_id = r.strategy_id WHERE investment_date BETWEEN '2022-07-01' AND '2022-09-30' AND sector = 'technology' GROUP BY strategy_id, strategy_name ORDER BY roi DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE member_data (member_id INT, join_date DATE); CREATE TABLE member_workouts (member_id INT, workout_date DATE); | Show members who joined in Q1 2022 and have not attended a workout | SELECT mdata.member_id FROM member_data mdata LEFT JOIN member_workouts mworkouts ON mdata.member_id = mworkouts.member_id WHERE mdata.join_date BETWEEN '2022-01-01' AND '2022-03-31' AND mworkouts.member_id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE VIEW popular_hotels AS SELECT * FROM hotels WHERE region IN ('New York', 'Los Angeles'); CREATE TABLE bookings (id INT, hotel_id INT, bookings INT); | What is the total number of bookings for each hotel in the popular_hotels view? | SELECT h.hotel_name, SUM(b.bookings) FROM popular_hotels h JOIN bookings b ON h.id = b.hotel_id GROUP BY h.hotel_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Species_6 (id INT, name VARCHAR(255), region VARCHAR(255), year INT); INSERT INTO Species_6 (id, name, region, year) VALUES (1, 'Kangaroo', 'Australia', 2021); INSERT INTO Species_6 (id, name, region, year) VALUES (2, 'Platypus', 'Australia', 2022); INSERT INTO Species_6 (id, name, region, year) VALUES (3,... | Insert new marine species records for 'Australia' in 2022. | INSERT INTO Species_6 (id, name, region, year) VALUES (4, 'Echidna', 'Australia', 2022); | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityEngagement (EngagementID INT, Country VARCHAR(255), EngagementScore INT, PRIMARY KEY (EngagementID)); | What is the percentage of total community engagement in cultural preservation in Oceania, grouped by country? | SELECT Country, 100.0 * COUNT(*) OVER (PARTITION BY Country) * 1.0 / SUM(COUNT(*)) OVER () AS PercentageOfTotal FROM CommunityEngagement WHERE Country = 'Oceania' GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_infrastructure_projects (id INT, name TEXT, expenditure DECIMAL(10,2)); INSERT INTO rural_infrastructure_projects (id, name, expenditure) VALUES (1, 'RoadA', 5000.00), (2, 'SchoolB', 6000.00), (3, 'HospitalC', 7000.00), (4, 'BridgeD', 8000.00), (5, 'ParkE', 9000.00); | Display the name of the rural infrastructure project and the expenditure, sorted by the expenditure in descending order | SELECT name, expenditure FROM rural_infrastructure_projects ORDER BY expenditure DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Satellite (Id INT, Name VARCHAR(100), LaunchDate DATETIME, Country VARCHAR(50), Function VARCHAR(50), OrbitType VARCHAR(50), Altitude INT); INSERT INTO Satellite (Id, Name, LaunchDate, Country, Function, OrbitType, Altitude) VALUES (4, 'GRACE-FO', '2018-05-22', 'United States', 'Scientific Research', 'LEO'... | What is the average altitude of satellites in Low Earth Orbit (LEO)? | SELECT AVG(Altitude) FROM Satellite WHERE OrbitType = 'LEO'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mines (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), year_opened INT, total_employees INT); INSERT INTO mines (id, name, location, year_opened, total_employees) VALUES (1, 'Golden Ridge Mine', 'California', 1992, 250); INSERT INTO mines (id, name, location, year_opened, total_employees) VAL... | What is the maximum labor productivity score for mines in Colorado? | SELECT MAX(labor_productivity.productivity_score) as max_productivity FROM labor_productivity JOIN mines ON labor_productivity.mine_id = mines.id WHERE mines.location = 'Colorado'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Community_Health_Workers (Worker_ID INT, Gender VARCHAR(10), Region VARCHAR(255)); INSERT INTO Community_Health_Workers (Worker_ID, Gender, Region) VALUES (1, 'Male', 'Northeast'), (2, 'Female', 'Northeast'), (3, 'Male', 'South'), (4, 'Female', 'South'); | What is the total number of community health workers in each region and the percentage of female community health workers in each region? | SELECT Region, COUNT(*) AS Total_Workers, COUNT(*) FILTER (WHERE Gender = 'Female') * 100.0 / COUNT(*) AS Percentage_Female_Workers FROM Community_Health_Workers GROUP BY Region; | gretelai_synthetic_text_to_sql |
CREATE TABLE routes (route_id INT, route_name TEXT);CREATE TABLE fares (fare_id INT, route_id INT, fare DECIMAL); INSERT INTO routes VALUES (123, 'Route 123'); INSERT INTO routes VALUES (456, 'Route 456'); INSERT INTO fares VALUES (1, 123, 2.5); INSERT INTO fares VALUES (2, 123, 2.5); INSERT INTO fares VALUES (3, 456, ... | What is the total fare collected on each route? | SELECT routes.route_name, SUM(fares.fare) FROM routes INNER JOIN fares ON routes.route_id = fares.route_id GROUP BY routes.route_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE faculty (id INT, name TEXT);CREATE TABLE research_grant (id INT, faculty_id INT, amount INT); | What is the maximum number of research grants awarded to a single faculty member? | SELECT MAX(rg.count) FROM (SELECT faculty_id, COUNT(*) AS count FROM research_grant rg GROUP BY faculty_id) rg; | gretelai_synthetic_text_to_sql |
CREATE TABLE marineshrimp (country VARCHAR(20), temperature DECIMAL(5,2)); INSERT INTO marineshrimp (country, temperature) VALUES ('Thailand', 29.2), ('Thailand', 28.9), ('Thailand', 29.0), ('Thailand', 28.8); | What is the minimum water temperature recorded for marine shrimp farms in Thailand? | SELECT MIN(temperature) FROM marineshrimp WHERE country = 'Thailand'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CountryPopulation (CountryID INT PRIMARY KEY, CountryName VARCHAR(100), Population INT); INSERT INTO CountryPopulation (CountryID, CountryName, Population) VALUES (1, 'USA', 331002651), (2, 'Canada', 37410003), (3, 'Mexico', 128932753); | What is the average ethical AI certifications per capita by country? | SELECT CountryName, AVG(CertificationCount/Population) as AvgCertificationsPerCapita FROM (SELECT CountryName, COUNT(CertificationID) as CertificationCount FROM EthicalAICertifications GROUP BY CountryName) AS CertificationsPerCountry JOIN CountryPopulation ON CertificationsPerCountry.CountryName = CountryPopulation.Co... | gretelai_synthetic_text_to_sql |
CREATE TABLE country_deliveries (delivery_id INT, item_count INT, delivery_date DATE, country VARCHAR(50)); INSERT INTO country_deliveries (delivery_id, item_count, delivery_date, country) VALUES (1, 10, '2022-01-01', 'Brazil'), (2, 20, '2022-01-02', 'Argentina'); | What is the total number of items delivered to 'country_deliveries' table for 'South America' in the year 2022? | SELECT SUM(item_count) FROM country_deliveries WHERE EXTRACT(YEAR FROM delivery_date) = 2022 AND country = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE underwater_volcanoes (id INT, name TEXT, lat FLOAT, lon FLOAT, depth INT); INSERT INTO underwater_volcanoes (id, name, lat, lon, depth) VALUES (1, 'NW Rota-1', 14.05, 145.75, 5367), (2, 'Ferdinand De Lesseps', 11.87, 142.33, 4000); CREATE TABLE mariana_trench (id INT, point TEXT, lat FLOAT, lon FLOAT); INS... | List all underwater volcanoes near the Mariana Trench. | SELECT uv.name FROM underwater_volcanoes uv INNER JOIN mariana_trench mt ON uv.lat BETWEEN mt.lat - 1 AND mt.lat + 1 AND uv.lon BETWEEN mt.lon - 1 AND mt.lon + 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_depths (ocean TEXT, depth FLOAT); INSERT INTO ocean_depths (ocean, depth) VALUES ('Atlantic Ocean', 8605.0); | What is the maximum depth in the Atlantic Ocean? | SELECT MAX(depth) FROM ocean_depths WHERE ocean = 'Atlantic Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (id INT, name TEXT, category TEXT, assets FLOAT); INSERT INTO clients (id, name, category, assets) VALUES (1, 'John Doe', 'Medium-Risk', 50000.00), (2, 'Jane Smith', 'Low-Risk', 75000.00), (3, 'Alice Johnson', 'High-Risk', 100000.00), (4, 'Bob Brown', 'Low-Risk', 120000.00); | What is the average assets value for clients in the 'Low-Risk' category? | SELECT AVG(assets) FROM clients WHERE category = 'Low-Risk'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fans (fan_id INT, age INT, gender VARCHAR(10), city VARCHAR(20)); INSERT INTO fans VALUES (1, 25, 'Male', 'New York'); INSERT INTO fans VALUES (2, 35, 'Female', 'Los Angeles'); CREATE TABLE games (game_id INT, team VARCHAR(20), location VARCHAR(20)); INSERT INTO games VALUES (1, 'Knicks', 'New York'); INSE... | What is the average age of fans who attended home games for the basketball team in New York? | SELECT AVG(fans.age) FROM fans INNER JOIN games ON fans.city = games.location WHERE games.team = 'Knicks'; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouse (id INT, city VARCHAR(20), capacity INT); INSERT INTO warehouse (id, city, capacity) VALUES (1, 'Chicago', 1000), (2, 'Houston', 1500), (3, 'Miami', 800); | Update the capacity of the warehouse in Miami to 1200 | UPDATE warehouse SET capacity = 1200 WHERE city = 'Miami'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_conditions (id INT PRIMARY KEY, location VARCHAR(50), condition VARCHAR(50), prevalence FLOAT); | What are the most common mental health conditions in rural areas of the US? | SELECT condition FROM mental_health_conditions WHERE location = 'rural areas' GROUP BY condition ORDER BY SUM(prevalence) DESC; | gretelai_synthetic_text_to_sql |
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