context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE vessels (vessel_id INT, vessel_name VARCHAR(100), last_inspection_date DATE, capacity INT); INSERT INTO vessels VALUES (1, 'MV Ever Given', '2022-02-28', 20000); INSERT INTO vessels VALUES (2, 'MV Maersk Mc-Kinney Moller', '2022-03-15', 15000); INSERT INTO vessels VALUES (3, 'MV CMA CGM Jacques Saade', NUL... | Which vessels have not been inspected for over a month, and what is their average capacity? | SELECT vessels.vessel_name, AVG(vessels.capacity) as avg_capacity FROM vessels WHERE vessels.last_inspection_date < DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY vessels.vessel_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE project_timeline (id INT, project VARCHAR(50), start_date DATE, end_date DATE); INSERT INTO project_timeline (id, project, start_date, end_date) VALUES (1, 'Office Building', '2019-12-20', '2021-04-30'), (2, 'Residential Apartments', '2021-03-01', '2022-08-01'), (3, 'School', '2020-06-15', '2021-10-15'); | List all building projects that started before 2020-06-01 and ended after 2020-12-31? | SELECT * FROM project_timeline WHERE start_date < '2020-06-01' AND end_date > '2020-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (user_id INT, country VARCHAR(50)); INSERT INTO users VALUES (1, 'USA'), (2, 'Canada'), (3, 'Mexico'); CREATE TABLE interactions (interaction_id INT, user_id INT, technology_type VARCHAR(20)); INSERT INTO interactions VALUES (1, 1, 'accessible'), (2, 2, 'non-accessible'), (3, 3, 'accessible'); | How many users have interacted with accessible technology in each country? | SELECT country, COUNT(DISTINCT user_id) FROM interactions INNER JOIN users ON interactions.user_id = users.user_id WHERE technology_type = 'accessible' GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE department (id INT, name TEXT, budget INT, created_at DATETIME); INSERT INTO department (id, name, budget, created_at) VALUES (1, 'education', 500000, '2021-01-01'), (2, 'healthcare', 1000000, '2022-01-01'); | What is the maximum budget allocated to a department in 2023? | SELECT name, MAX(budget) as max_budget FROM department WHERE created_at BETWEEN '2023-01-01' AND '2023-12-31' GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Tech_For_Good (project_id INT, project_name VARCHAR(100), region VARCHAR(50), budget FLOAT); INSERT INTO Tech_For_Good (project_id, project_name, region, budget) VALUES (1, 'Project A', 'Middle East', 45000.00), (2, 'Project B', 'Africa', 55000.00), (3, 'Project C', 'Asia', 65000.00); | What is the total budget for technology for social good projects in the Middle East? | SELECT SUM(budget) FROM Tech_For_Good WHERE region = 'Middle East'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Trams (tram_id INT, region VARCHAR(20), fare DECIMAL(5,2)); INSERT INTO Trams (tram_id, region, fare) VALUES (501, 'Riverside', 2.00), (502, 'Riverside', 2.50), (503, 'Riverside', 3.00); | What is the minimum fare for trams in the 'Riverside' region? | SELECT MIN(fare) FROM Trams WHERE region = 'Riverside'; | gretelai_synthetic_text_to_sql |
CREATE TABLE astronauts (astronaut_id INT, name VARCHAR(100), age INT, craft VARCHAR(50), mission VARCHAR(100)); INSERT INTO astronauts (astronaut_id, name, age, craft, mission) VALUES (1, 'John', 45, 'Dragon', 'Mars'), (2, 'Sarah', 36, 'Starship', 'ISS'), (3, 'Mike', 50, 'Falcon', 'Mars'), (4, 'Jane', 42, 'Apollo', 'M... | What are the names of astronauts who have flown on both SpaceX and NASA crafts and their respective missions? | SELECT DISTINCT a.name, a.mission FROM astronauts a INNER JOIN spacex_crafts c ON a.craft = c.craft INNER JOIN nasa_crafts n ON a.craft = n.craft; | gretelai_synthetic_text_to_sql |
CREATE TABLE age_groups (age_group_id INT, age_group_name VARCHAR(50), lower_bound INT, upper_bound INT); | How many tickets were sold by age group? | SELECT ag.age_group_name, SUM(t.quantity) as tickets_sold FROM age_groups ag JOIN tickets t ON t.age BETWEEN ag.lower_bound AND ag.upper_bound GROUP BY ag.age_group_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (VesselID INT, VesselType VARCHAR(50), AvgSpeed DECIMAL(5,2)); INSERT INTO Vessels VALUES (1, 'Container Ship', 21.5), (2, 'Tanker', 18.2), (3, 'Container Ship', 22.6); | What is the maximum speed of vessels in the container ship category? | SELECT MAX(AvgSpeed) FROM Vessels WHERE VesselType = 'Container Ship'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vaccinations (Disease VARCHAR(50), Continent VARCHAR(50), Percentage_Vaccinated FLOAT); INSERT INTO Vaccinations (Disease, Continent, Percentage_Vaccinated) VALUES ('Hepatitis B', 'South America', 90.0); | What is the percentage of children vaccinated for Hepatitis B in South America? | SELECT Percentage_Vaccinated FROM Vaccinations WHERE Disease = 'Hepatitis B' AND Continent = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE emergency_calls (id INT, city VARCHAR(20), call_date DATE, response_time INT); INSERT INTO emergency_calls (id, city, call_date, response_time) VALUES (1, 'Chicago', '2021-12-01', 120), (2, 'Chicago', '2022-01-15', 150), (3, 'Chicago', '2022-02-28', 90); | What is the average response time for emergency calls in the city of Chicago during the winter months (December, January, February)? | SELECT AVG(response_time) FROM emergency_calls WHERE city = 'Chicago' AND EXTRACT(MONTH FROM call_date) IN (12, 1, 2); | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, FirstName VARCHAR(50), LastName VARCHAR(50), Country VARCHAR(50), TechnicalTraining BOOLEAN); INSERT INTO Employees (EmployeeID, FirstName, LastName, Country, TechnicalTraining) VALUES (1, 'John', 'Doe', 'USA', true); INSERT INTO Employees (EmployeeID, FirstName, LastName, Countr... | Display the number of employees who have completed technical training, by country, and sort the results by the number of employees in descending order | SELECT Country, COUNT(*) as NumberOfEmployees FROM Employees WHERE TechnicalTraining = true GROUP BY Country ORDER BY NumberOfEmployees DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE exhibition_visits (id INT, visitor_id INT, exhibition_id INT, duration_mins INT, state TEXT); INSERT INTO exhibition_visits (id, visitor_id, exhibition_id, duration_mins, state) VALUES (1, 1, 1, 60, 'CA'), (2, 2, 1, 75, 'NY'); | Calculate the total duration spent on exhibitions by visitors from each US state. | SELECT state, SUM(duration_mins) FROM exhibition_visits WHERE state IS NOT NULL GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, state VARCHAR(20)); CREATE TABLE workout_data (id INT, user_id INT, hr INT, date DATE); | Calculate the minimum heart rate recorded for users living in Florida on weekends. | SELECT MIN(hr) FROM workout_data w JOIN users u ON w.user_id = u.id WHERE u.state = 'Florida' AND (DAYOFWEEK(w.date) = 1 OR DAYOFWEEK(w.date) = 7); | gretelai_synthetic_text_to_sql |
CREATE TABLE posts (id INT, category VARCHAR(255), likes INT); INSERT INTO posts (id, category, likes) VALUES (1, 'Vegan Food', 100), (2, 'Vegan Food', 200), (3, 'Fitness', 300), (4, 'Travel', 400), (5, 'Vegan Food', 500); | What is the minimum number of likes for posts related to vegan food? | SELECT MIN(posts.likes) AS min_likes FROM posts WHERE posts.category = 'Vegan Food'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (name VARCHAR(255), location VARCHAR(255), avg_depth FLOAT); | Delete any marine protected areas with an average depth below 100 meters. | DELETE FROM marine_protected_areas WHERE avg_depth < 100; | gretelai_synthetic_text_to_sql |
CREATE TABLE ROSCOSMOS_Missions (mission_id INT, name VARCHAR(50), type VARCHAR(50), expenses DECIMAL(10,2)); INSERT INTO ROSCOSMOS_Missions (mission_id, name, type, expenses) VALUES (1, 'MIR', 'Space Station', 3500000.00), (2, 'ISS Upgrades', 'Space Station', 2000000.00); | What are the total expenses for SpaceX satellite deployment projects, NASA space exploration research programs, and ROSCOSMOS space station missions? | SELECT SUM(expenses) FROM SpaceX_Projects WHERE type IN ('Satellite Deployment', 'Space Exploration') UNION ALL SELECT SUM(expenses) FROM NASA_Research WHERE type IN ('Space Exploration', 'Space Station') UNION ALL SELECT SUM(expenses) FROM ROSCOSMOS_Missions WHERE type = 'Space Station'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, name TEXT, country TEXT); INSERT INTO customers (customer_id, name, country) VALUES (1, 'John Doe', 'USA'); INSERT INTO customers (customer_id, name, country) VALUES (2, 'Jane Smith', 'Canada'); | Which customers have made investments in both the US and Canada? | SELECT customer_id, name FROM customers WHERE country = 'USA' INTERSECT SELECT customer_id, name FROM customers WHERE country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cultural_Events (name VARCHAR(255), city VARCHAR(255), visitors_per_month DECIMAL(5,2)); | What is the average number of visitors per month for cultural events in Tokyo? | SELECT AVG(visitors_per_month) FROM Cultural_Events WHERE city = 'Tokyo'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Regions (RegionName VARCHAR(20), HospitalName VARCHAR(20), HospitalCapacity INT); INSERT INTO Regions (RegionName, HospitalName, HospitalCapacity) VALUES ('Region3', 'HospitalX', 200), ('Region3', 'HospitalY', 250); | list all hospitals and their capacities in 'Region3' | SELECT HospitalName, HospitalCapacity FROM Regions WHERE RegionName = 'Region3'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (id INT, name VARCHAR(30)); CREATE TABLE properties (id INT, city VARCHAR(20), price INT, green_certified BOOLEAN); INSERT INTO cities (id, name) VALUES (1, 'Vancouver'), (2, 'Seattle'), (3, 'Portland'); INSERT INTO properties (id, city, price, green_certified) VALUES (101, 'Vancouver', 600000, true... | What is the average property price for buildings with a green certification in each city? | SELECT cities.name, AVG(properties.price) FROM cities INNER JOIN properties ON cities.name = properties.city WHERE properties.green_certified = true GROUP BY cities.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (id INT, name VARCHAR(255), date DATE, category VARCHAR(255), revenue INT); CREATE VIEW EventRevenue AS SELECT id, SUM(revenue) AS total_revenue FROM Events GROUP BY id; | What is the total revenue for events in the 'Art' category? | SELECT total_revenue FROM EventRevenue WHERE id IN (SELECT id FROM Events WHERE category = 'Art'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Transport_Emissions (id INT, mode VARCHAR(20), co2_emission FLOAT, year INT); INSERT INTO Transport_Emissions (id, mode, co2_emission, year) VALUES (1, 'Plane', 120.0, 2021), (2, 'Train', 15.0, 2021), (3, 'Bus', 40.0, 2021), (4, 'Car', 60.0, 2021), (5, 'Plane', 130.0, 2022), (6, 'Train', 16.0, 2022), (7, '... | What is the average CO2 emission for each mode of transport in 2021 and 2022? | SELECT mode, AVG(co2_emission) as avg_emission FROM Transport_Emissions WHERE year IN (2021, 2022) GROUP BY mode; | gretelai_synthetic_text_to_sql |
CREATE TABLE packages (id INT, warehouse_id INT, weight FLOAT); INSERT INTO packages (id, warehouse_id, weight) VALUES (1, 1, 50.5), (2, 1, 45.3), (3, 2, 60.1), (4, 2, 70.0), (5, 3, 30.2); | List the top 3 cities with the most packages shipped in March 2022 | SELECT warehouses.city, COUNT(*) as num_shipments FROM shipments JOIN packages ON shipments.id = packages.id JOIN warehouses ON shipments.warehouse_id = warehouses.id WHERE sent_date >= '2022-03-01' AND sent_date < '2022-04-01' GROUP BY warehouses.city ORDER BY num_shipments DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE funding_distribution (program_name VARCHAR(50), city VARCHAR(50), attendees INT, amount DECIMAL(10,2)); INSERT INTO funding_distribution (program_name, city, attendees, amount) VALUES ('Theater for All', 'New York', 100, 15000.00); | What was the average funding per attendee for the 'Theater for All' programs in New York? | SELECT AVG(amount / attendees) FROM funding_distribution WHERE program_name = 'Theater for All' AND city = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_programs (id INT, program VARCHAR(30), city VARCHAR(20), start_year INT); INSERT INTO community_programs (id, program, city, start_year) VALUES (1, 'Coffee with a Cop', 'Denver', 2015), (2, 'Block Watch', 'Denver', 2016), (3, 'Community Police Academy', 'Denver', 2017), (4, 'Junior Police Academy... | How many community policing programs were implemented in Denver in 2018? | SELECT COUNT(*) as total FROM community_programs WHERE city = 'Denver' AND start_year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE sensor_data_2021 (id INT, crop VARCHAR(20), sensor_id INT); INSERT INTO sensor_data_2021 (id, crop, sensor_id) VALUES (1, 'Corn', 101), (2, 'Soybean', 102), (3, 'Corn', 103); | Find the number of sensors for each crop type in the 'sensor_data_2021' table. | SELECT crop, COUNT(DISTINCT sensor_id) FROM sensor_data_2021 GROUP BY crop; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (Player_ID INT, Age INT, Gender VARCHAR(10), Country VARCHAR(20)); INSERT INTO Players (Player_ID, Age, Gender, Country) VALUES (1, 25, 'Male', 'Country_X'), (2, 30, 'Female', 'Country_Y'); | What is the total number of players in the Players table? | SELECT COUNT(*) FROM Players; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (incident_time TIMESTAMP, source_ip VARCHAR(255)); | Show the total number of security incidents that occurred in the last month, broken down by the day they occurred and the source IP address. | SELECT DATE(incident_time) AS incident_date, source_ip, COUNT(*) AS total FROM security_incidents WHERE incident_time >= NOW() - INTERVAL '1 month' GROUP BY incident_date, source_ip; | gretelai_synthetic_text_to_sql |
CREATE TABLE drug_revenues (drug_name VARCHAR(100), revenue FLOAT, year INT); INSERT INTO drug_revenues (drug_name, revenue, year) VALUES ('DrugA', 1500000, 2022), ('DrugB', 2000000, 2022), ('DrugC', 1200000, 2022), ('DrugD', 2200000, 2022); | What was the highest revenue drug in 2022? | SELECT drug_name, revenue FROM drug_revenues WHERE year = 2022 AND revenue = (SELECT MAX(revenue) FROM drug_revenues WHERE year = 2022); | gretelai_synthetic_text_to_sql |
CREATE TABLE players (id INT, name VARCHAR(100), game_id INT, high_score INT); CREATE TABLE games (id INT, name VARCHAR(100)); INSERT INTO players (id, name, game_id, high_score) VALUES (1, 'Jane Doe', 1, 1500); INSERT INTO games (id, name) VALUES (1, 'Call of Duty'); | Identify players who achieved a high score of over 1000 in game 'Call of Duty' | SELECT players.name FROM players JOIN games ON players.game_id = games.id WHERE games.name = 'Call of Duty' AND players.high_score > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Garments (garment_id INT, garment_name VARCHAR(50), retail_price DECIMAL(5,2), fabric VARCHAR(50)); INSERT INTO Garments (garment_id, garment_name, retail_price, fabric) VALUES (1, 'Sequin Evening Gown', 850.99, 'Sequin'), (2, 'Cashmere Sweater', 250.00, 'Cashmere'), (3, 'Silk Blouse', 150.00, 'Silk'); | Find the total retail price of garments for each fabric type. | SELECT fabric, SUM(retail_price) FROM Garments GROUP BY fabric; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainablePractices (PracticeID INT, PracticeName VARCHAR(50), Description VARCHAR(255), Department VARCHAR(50), Cost DECIMAL(10,2)); INSERT INTO SustainablePractices (PracticeID, PracticeName, Description, Department, Cost) VALUES (3, 'Geothermal Energy', 'Utilizing geothermal energy to power constructio... | What is the total cost of sustainable practices for the 'Mechanical Engineering' department? | SELECT SUM(SustainablePractices.Cost) FROM SustainablePractices WHERE SustainablePractices.Department = 'Mechanical Engineering'; | gretelai_synthetic_text_to_sql |
CREATE TABLE destinations (destination_id INT, destination_name VARCHAR(50), region VARCHAR(20), sustainable_practices_score DECIMAL(3,1), PRIMARY KEY (destination_id)); | Update the "region" field in the "destinations" table for all records with a "destination_name" of 'Rio de Janeiro' to be 'South America' | UPDATE destinations SET region = 'South America' WHERE destination_name = 'Rio de Janeiro'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, name VARCHAR(255), city VARCHAR(255)); INSERT INTO customers (customer_id, name, city) VALUES (1, 'John Doe', 'Seattle'), (2, 'Jane Smith', 'New York'); CREATE TABLE data_usage (customer_id INT, monthly_data_usage DECIMAL(10,2)); INSERT INTO data_usage (customer_id, monthly_data... | What is the average data usage in gigabytes per month for customers in the city of Seattle? | SELECT AVG(monthly_data_usage) FROM data_usage INNER JOIN customers ON data_usage.customer_id = customers.customer_id WHERE city = 'Seattle'; | gretelai_synthetic_text_to_sql |
CREATE TABLE TransportationTrips (Year INT, Mode VARCHAR(255), City VARCHAR(255), Count INT); INSERT INTO TransportationTrips (Year, Mode, City, Count) VALUES (2020, 'Bus', 'New York', 500000), (2020, 'Subway', 'New York', 700000), (2020, 'Bus', 'Los Angeles', 400000), (2020, 'Subway', 'Los Angeles', 600000), (2020, 'L... | How many public transportation trips were taken in 2020, by mode and city? | SELECT Mode, City, SUM(Count) AS TotalTrips FROM TransportationTrips WHERE Year = 2020 GROUP BY Mode, City; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, case_outcome VARCHAR(10), attorney_id INT); INSERT INTO cases (case_id, case_outcome, attorney_id) VALUES (1, 'Won', 101), (2, 'Lost', 102), (3, 'Won', 101); CREATE TABLE attorneys (attorney_id INT, attorney_name VARCHAR(20)); INSERT INTO attorneys (attorney_id, attorney_name) VALUES (1... | List the names of attorneys who have never lost a case. | SELECT a.attorney_name FROM attorneys a LEFT JOIN cases c ON a.attorney_id = c.attorney_id WHERE c.case_outcome IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE VRHeadsetsSales (SaleID INT, State VARCHAR(50), Country VARCHAR(50), Year INT, QuantitySold INT); INSERT INTO VRHeadsetsSales (SaleID, State, Country, Year, QuantitySold) VALUES (1, 'California', 'USA', 2017, 2000), (2, 'Texas', 'USA', 2018, 3000), (3, 'California', 'USA', 2018, 4000), (4, 'California', 'U... | What is the total number of VR headsets sold in California, USA between 2018 and 2020? | SELECT SUM(QuantitySold) FROM VRHeadsetsSales WHERE State = 'California' AND Year BETWEEN 2018 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE project_timeline (project_id INT, city VARCHAR(20), project_type VARCHAR(20), timeline_in_months INT); INSERT INTO project_timeline (project_id, city, project_type, timeline_in_months) VALUES (1, 'Chicago', 'Sustainable', 18), (2, 'Chicago', 'Conventional', 20), (3, 'New York', 'Sustainable', 22), (4, 'Los... | What is the average project timeline in months for sustainable building projects in the city of Los Angeles? | SELECT city, AVG(timeline_in_months) FROM project_timeline WHERE city = 'Los Angeles' AND project_type = 'Sustainable' GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE brands (brand_id INT, brand_name VARCHAR(255), is_cruelty_free BOOLEAN, customer_satisfaction_rating DECIMAL(3,2)); | Which cruelty-free makeup brands have the highest customer satisfaction ratings? | SELECT brand_name, MAX(customer_satisfaction_rating) FROM brands WHERE is_cruelty_free = TRUE GROUP BY brand_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE crimes (id INT, state VARCHAR(20), date DATE, crime VARCHAR(20)); INSERT INTO crimes (id, state, date, crime) VALUES (1, 'Florida', '2021-01-01', 'Theft'), (2, 'Florida', '2021-02-01', 'Burglary'), (3, 'Florida', '2021-03-01', 'Assault'); | What is the total number of reported crimes in the state of Florida? | SELECT COUNT(*) FROM crimes WHERE state = 'Florida'; | gretelai_synthetic_text_to_sql |
CREATE TABLE banks (id INT, name VARCHAR(255), region VARCHAR(255)); CREATE TABLE loans (id INT, bank_id INT, amount DECIMAL(10, 2), issue_date DATE); INSERT INTO banks (id, name, region) VALUES (1, 'Islamic Bank 1', 'Middle East'), (2, 'Islamic Bank 2', 'Asia'), (3, 'Ethical Bank 1', 'Europe'), (4, 'Socially Responsib... | What is the maximum loan amount issued by a bank in a specific region? | SELECT MAX(l.amount) as max_loan_amount FROM banks b JOIN loans l ON b.id = l.bank_id WHERE b.region = 'Middle East'; | gretelai_synthetic_text_to_sql |
CREATE TABLE UserStreamCountries (Country VARCHAR(20), UserCount INT); INSERT INTO UserStreamCountries (Country, UserCount) VALUES ('USA', '10000000'), ('UK', '6000000'), ('Canada', '4000000'), ('Australia', '3000000'), ('Germany', '5000000'); | List the top 5 countries with the highest number of unique users who have streamed music. | SELECT Country, UserCount FROM UserStreamCountries ORDER BY UserCount DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vulnerabilities (id INT, operating_system VARCHAR(255), severity INT); INSERT INTO Vulnerabilities (id, operating_system, severity) VALUES (1, 'Windows', 7), (2, 'Linux', 5), (3, 'Windows', 9); CREATE TABLE OperatingSystems (id INT, name VARCHAR(255)); INSERT INTO OperatingSystems (id, name) VALUES (1, 'Wi... | What is the average severity of vulnerabilities for each operating system? | SELECT OperatingSystems.name AS Operating_System, AVG(Vulnerabilities.severity) AS Average_Severity FROM Vulnerabilities INNER JOIN OperatingSystems ON Vulnerabilities.operating_system = OperatingSystems.name GROUP BY OperatingSystems.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_farms (id INT, name TEXT, location TEXT, biomass FLOAT); INSERT INTO fish_farms (id, name, location, biomass) VALUES (1, 'Farm A', 'Arctic Ocean', 100.5), (2, 'Farm B', 'Arctic Ocean', 120.0), (3, 'Farm C', 'Antarctic Ocean', 150.0); | What is the total biomass (kg) of fish in fish farms located in the Arctic Ocean? | SELECT SUM(biomass) FROM fish_farms WHERE location = 'Arctic Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (tour_id INT, name TEXT, provider TEXT, country TEXT); INSERT INTO virtual_tours (tour_id, name, provider, country) VALUES (1, 'Lisbon City Tour', 'Virtual Voyages', 'Portugal'), (2, 'Sintra Palace Tour', 'Virtually There', 'Portugal'); | List the names and providers of virtual tours offered in Portugal and their respective providers. | SELECT name, provider FROM virtual_tours WHERE country = 'Portugal'; | gretelai_synthetic_text_to_sql |
CREATE TABLE subway_stations (station_id INT, station_name VARCHAR(50), city VARCHAR(50), time_between_arrivals TIME); INSERT INTO subway_stations (station_id, station_name, city, time_between_arrivals) VALUES (1, 'Times Square', 'New York City', '5:00'), (2, 'Grand Central', 'New York City', '3:00'), (3, 'Penn Station... | What is the minimum time between subway train arrivals in New York City? | SELECT MIN(TIME_TO_SEC(time_between_arrivals))/60.0 FROM subway_stations WHERE city = 'New York City'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Spacecrafts (id INT, name VARCHAR(100), manufacturer VARCHAR(100), mission_to_mars BOOLEAN); CREATE TABLE Manufacturers (id INT, name VARCHAR(100)); INSERT INTO Spacecrafts VALUES (1, 'Mars Rover 1', 'SpaceCorp', TRUE); INSERT INTO Spacecrafts VALUES (2, 'Mars Rover 2', 'SpaceCorp', FALSE); INSERT INTO Man... | What is the total number of spacecraft built by each manufacturer and the number of those spacecraft that were part of missions to Mars? | SELECT Manufacturers.name, SUM(CASE WHEN Spacecrafts.mission_to_mars = TRUE THEN 1 ELSE 0 END) AS missions_to_mars, SUM(CASE WHEN Spacecrafts.mission_to_mars = TRUE THEN 1 ELSE 0 END) / COUNT(*) * 100 AS mars_mission_percentage FROM Spacecrafts INNER JOIN Manufacturers ON Spacecrafts.manufacturer = Manufacturers.name G... | gretelai_synthetic_text_to_sql |
CREATE TABLE ethical_ai_frameworks (id INT PRIMARY KEY, name VARCHAR(255), description TEXT, organization VARCHAR(255)); INSERT INTO ethical_ai_frameworks (id, name, description, organization) VALUES (1, 'Ethical AI 1.0', 'A framework for building ethical AI', 'AI for Good Foundation'); INSERT INTO ethical_ai_framework... | Which organizations are associated with ethical AI frameworks and have given more than one talk? | SELECT DISTINCT organization FROM talks WHERE organization IN (SELECT organization FROM ethical_ai_frameworks) GROUP BY organization HAVING COUNT(*) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE solar_plants (id INT, name VARCHAR(50), location VARCHAR(50), efficiency FLOAT, capacity INT); INSERT INTO solar_plants (id, name, location, efficiency, capacity) VALUES (1, 'SolarPlant1', 'Africa', 0.25, 100), (2, 'SolarPlant2', 'Africa', 0.28, 150); | What is the total installed capacity (in MW) of solar power plants in 'Africa' that have an efficiency rating above 22%? | SELECT SUM(capacity) FROM solar_plants WHERE location = 'Africa' AND efficiency > 0.22; | gretelai_synthetic_text_to_sql |
CREATE TABLE salesperson (salesperson_id INT, name VARCHAR(50), position VARCHAR(50)); CREATE TABLE tickets (ticket_id INT, salesperson_id INT, event_id INT, price DECIMAL(5,2), quantity INT); CREATE TABLE events (event_id INT, name VARCHAR(50), date DATE); INSERT INTO salesperson VALUES (1, 'John Doe', 'Senior Salespe... | Insert new records of ticket sales for a new event, identified by its event ID, including salesperson information. | INSERT INTO tickets (ticket_id, salesperson_id, event_id, price, quantity) VALUES (2, 1, 2, 75, 50); | gretelai_synthetic_text_to_sql |
CREATE TABLE Teachers (TeacherID INT, Name VARCHAR(100), Subject VARCHAR(50)); CREATE VIEW TopTeachers AS SELECT Name, Subject FROM Teachers WHERE Subject = 'Science'; | Drop the 'TopTeachers' view | DROP VIEW TopTeachers; | gretelai_synthetic_text_to_sql |
CREATE TABLE impact_investments (id INT, sector VARCHAR(20), investment_amount FLOAT); INSERT INTO impact_investments (id, sector, investment_amount) VALUES (1, 'microfinance', 10000), (2, 'renewable_energy', 50000), (3, 'microfinance', 15000); | What is the minimum impact investment amount for the 'microfinance' sector? | SELECT MIN(investment_amount) FROM impact_investments WHERE sector = 'microfinance'; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_name VARCHAR(50), jersey_number INT, country_name VARCHAR(50)); INSERT INTO players (player_name, jersey_number, country_name) VALUES ('John', 10, 'USA'), ('Alex', 12, 'USA'), ('James', 7, 'Australia'), ('Ben', 8, 'Australia'); | Delete all records for the 'Australia' team from the players table. | DELETE FROM players WHERE country_name = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Crops (name VARCHAR(50), farming_method VARCHAR(50)); INSERT INTO Crops (name, farming_method) VALUES ('Corn', 'Organic'), ('Soybean', 'Conventional'), ('Wheat', 'Organic'); | Identify crops that are present in both organic and conventional farming methods. | SELECT name FROM Crops WHERE farming_method IN ('Organic', 'Conventional') GROUP BY name HAVING COUNT(DISTINCT farming_method) = 2 | gretelai_synthetic_text_to_sql |
CREATE TABLE Missions (id INT, name VARCHAR(50), launch_year INT); INSERT INTO Missions (id, name, launch_year) VALUES (1, 'Mission1', 2000), (2, 'Mission2', 1999), (3, 'Mission3', 2001); | What is the total number of space missions launched before 1999? | SELECT COUNT(*) FROM Missions WHERE launch_year < 1999; | gretelai_synthetic_text_to_sql |
CREATE TABLE humanitarian_missions (id INT, mission VARCHAR(255), country VARCHAR(255), year INT); | Add a new record of a humanitarian mission. | INSERT INTO humanitarian_missions (id, mission, country, year) VALUES (1, 'Rebuilding Schools in Haiti', 'Haiti', 2022); | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_name VARCHAR(50), donation_amount DECIMAL(10,2), donation_date DATE, country_code CHAR(2)); | What's the total amount of donations received by each country? | SELECT country_code, SUM(donation_amount) FROM donations GROUP BY country_code; | gretelai_synthetic_text_to_sql |
CREATE TABLE funding (startup_id INT, amount INT, sector VARCHAR(20)); | Calculate the average funding amount for startups in the "technology" sector | SELECT AVG(funding.amount) FROM funding INNER JOIN startups ON funding.startup_id = startups.id WHERE startups.sector = 'technology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Users (id INT, state VARCHAR(255), genre VARCHAR(255), streams INT); | What is the average number of streams per user for users in Texas who have streamed songs by artists from the Country genre? | SELECT AVG(streams) FROM Users WHERE state = 'Texas' AND genre = 'Country'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fund_green_investments(fund_id INT, investment_id INT); | List of green investments by a specific Canadian fund | SELECT investment_id FROM fund_green_investments WHERE fund_id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT, ArtistName VARCHAR(100), Country VARCHAR(50)); INSERT INTO Artists (ArtistID, ArtistName, Country) VALUES (6, 'Burna Boy', 'Nigeria'); | Update the country of the artist with ID 6 to Ghana. | UPDATE Artists SET Country = 'Ghana' WHERE ArtistID = 6; | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies (Company_ID INT, Company_Name VARCHAR(100), Industry_4_0 BOOLEAN); | List companies that have implemented Industry 4.0 practices | SELECT DISTINCT Company_Name FROM Companies WHERE Industry_4_0 = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE if NOT EXISTS iot_sensors_3 (id int, location varchar(50), temperature float, timestamp datetime); INSERT INTO iot_sensors_3 (id, location, temperature, timestamp) VALUES (1, 'Kenya', 31.6, '2022-03-22 10:00:00'); | What is the maximum temperature recorded by IoT sensors in Kenya in the last 14 days? | SELECT MAX(temperature) FROM iot_sensors_3 WHERE location = 'Kenya' AND timestamp >= DATE_SUB(NOW(), INTERVAL 14 DAY); | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, therapist_id INT, age INT, gender TEXT); INSERT INTO patients (patient_id, therapist_id, age, gender) VALUES (1, 1, 30, 'Female'), (2, 1, 40, 'Male'), (3, 2, 50, 'Female'), (4, 2, 60, 'Non-binary'), (5, 3, 25, 'Male'), (6, 3, 35, 'Female'); CREATE TABLE therapists (therapist_id IN... | Identify the average age of patients who have been treated by therapists named "Sophia" or "Liam", and group the result by their gender. | SELECT therapists.first_name, patients.gender, AVG(patients.age) AS avg_age FROM patients JOIN therapists ON patients.therapist_id = therapists.therapist_id WHERE therapists.first_name IN ('Sophia', 'Liam') GROUP BY therapists.first_name, patients.gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_sites (site_id INT, site_name VARCHAR(50), country VARCHAR(20)); INSERT INTO mining_sites (site_id, site_name, country) VALUES (1, 'Mining Site A', 'Peru'), (2, 'Mining Site B', 'Peru'), (3, 'Mining Site C', 'Peru'); CREATE TABLE eia_schedule (site_id INT, eia_date DATE); INSERT INTO eia_schedule (s... | List mining sites in Peru with EIA due dates in the next 3 months. | SELECT site_name FROM mining_sites INNER JOIN eia_schedule ON mining_sites.site_id = eia_schedule.site_id WHERE eia_schedule.eia_date BETWEEN DATE_ADD(CURDATE(), INTERVAL 3 MONTH) AND DATE_ADD(CURDATE(), INTERVAL 4 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE bookings (booking_id INT, booking_date DATE); INSERT INTO bookings (booking_id, booking_date) VALUES (1, '2022-08-01'), (2, '2022-08-02'), (3, '2022-08-03'); | What is the number of bookings per day for the 'bookings' table in the month of August 2022? | SELECT DATE(booking_date) AS booking_day, COUNT(*) AS bookings_per_day FROM bookings WHERE EXTRACT(MONTH FROM booking_date) = 8 GROUP BY booking_day; | gretelai_synthetic_text_to_sql |
CREATE TABLE emissions (id INT PRIMARY KEY, country VARCHAR(50), emissions INT); INSERT INTO emissions (id, country, emissions) VALUES (1, 'China', 10000), (2, 'US', 8000), (3, 'India', 6000); | List the top 3 contributing countries to climate change based on emissions data | SELECT country, emissions FROM emissions ORDER BY emissions DESC LIMIT 3 | gretelai_synthetic_text_to_sql |
CREATE TABLE penguins (id INT, species VARCHAR(20), avg_weight FLOAT); | What is the average weight of all penguins in the 'penguins' table? | SELECT avg(avg_weight) FROM penguins; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, supplier_id INT, ethical_rating INT); CREATE TABLE suppliers (supplier_id INT, supplier_name VARCHAR(50), ethical_rating INT); INSERT INTO products (product_id, supplier_id, ethical_rating) VALUES (1, 101, 9), (2, 102, 5), (3, 103, 8); INSERT INTO suppliers (supplier_id, supplier_... | Remove products sourced from a supplier with a low ethical rating | DELETE FROM products WHERE supplier_id IN (SELECT supplier_id FROM suppliers WHERE ethical_rating < 7); | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (name VARCHAR(50), genre VARCHAR(50)); INSERT INTO artists (name, genre) VALUES ('Beyoncé', 'Pop'), ('Drake', 'Hip Hop'), ('Taylor Swift', 'Country Pop'), ('Kendrick Lamar', 'Hip Hop'); CREATE TABLE concerts (artist_name VARCHAR(50), venue VARCHAR(50), ticket_price DECIMAL(5,2)); INSERT INTO concer... | List the top 2 genres with the highest average concert ticket prices. | SELECT genre, AVG(ticket_price) AS avg_ticket_price, ROW_NUMBER() OVER(ORDER BY AVG(ticket_price) DESC) AS rank FROM artists JOIN concerts ON artists.name = concerts.artist_name GROUP BY genre ORDER BY rank ASC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Games (Id INT, Name VARCHAR(100), Genre VARCHAR(50), Platform VARCHAR(50), Sales INT, PlayTime FLOAT, Region VARCHAR(50)); INSERT INTO Games VALUES (1, 'GameG', 'Action', 'Console', 5000, 20.5, 'North America'), (2, 'GameH', 'Role-playing', 'Console', 7000, 35.2, 'Europe'), (3, 'GameI', 'Action', 'Console'... | What are the total sales and average play time for 'Action' games on Console by region? | SELECT Region, SUM(Sales) AS Total_Sales, AVG(PlayTime) AS Avg_PlayTime FROM Games WHERE Genre = 'Action' AND Platform = 'Console' GROUP BY Region; | gretelai_synthetic_text_to_sql |
CREATE TABLE mumbai_districts (district_id INT, district_name VARCHAR(50), city VARCHAR(20), year INT, meetings_held INT); INSERT INTO mumbai_districts (district_id, district_name, city, year, meetings_held) VALUES (1, 'Colaba', 'Mumbai', 2020, 10); | List the names and number of public meetings for each district in the city of Mumbai for the year 2020 | SELECT district_name, SUM(meetings_held) FROM mumbai_districts WHERE city = 'Mumbai' AND year = 2020 GROUP BY district_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE CarbonSequestration (ID INT, Location TEXT, Year INT, Sequestration INT); INSERT INTO CarbonSequestration (ID, Location, Year, Sequestration) VALUES (1, 'Greenland', 2010, 1000); INSERT INTO CarbonSequestration (ID, Location, Year, Sequestration) VALUES (2, 'Greenland', 2011, 1500); | What is the maximum carbon sequestration observed in a year in Greenland? | SELECT MAX(Year) as Max_Year, MAX(Sequestration) as Max_Sequestration FROM CarbonSequestration WHERE Location = 'Greenland'; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_data (id INT, season VARCHAR(10), rainfall DECIMAL(3,1)); | What is the minimum rainfall in the 'climate_data' table for each season? | SELECT season, MIN(rainfall) FROM climate_data GROUP BY season; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_building_certifications (id INT, certification_date DATE); | Count the number of green building certifications for each year | SELECT EXTRACT(YEAR FROM certification_date) AS year, COUNT(*) FROM green_building_certifications GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE grants (id INT, faculty_id INT, year INT, amount DECIMAL(10,2)); INSERT INTO grants (id, faculty_id, year, amount) VALUES (1, 1, 2020, 25000); INSERT INTO grants (id, faculty_id, year, amount) VALUES (2, 2, 2019, 30000); CREATE TABLE faculty (id INT, name VARCHAR(50), department VARCHAR(50)); INSERT INTO f... | What is the maximum amount of grant funding received by a single faculty member in the Physics department in a single year? | SELECT MAX(g.amount) FROM grants g JOIN faculty f ON g.faculty_id = f.id WHERE f.department = 'Physics'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rainfall_data (id INT, farm_id INT, rainfall FLOAT, record_date DATE); INSERT INTO rainfall_data (id, farm_id, rainfall, record_date) VALUES (1, 1, 25.5, '2022-01-01'), (2, 2, 30.0, '2022-01-01'), (3, 3, 18.2, '2022-01-01'), (4, 4, 22.8, '2022-01-01'), (5, 5, 35.1, '2022-01-01'), (6, 6, 20.5, '2022-01-01')... | What is the average rainfall for farms located in India? | SELECT AVG(rainfall) FROM rainfall_data WHERE farm_id IN (SELECT id FROM farmers WHERE location = 'India'); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA aerospace; CREATE TABLE aerospace.satellites (satellite_id INT, country VARCHAR(50), launch_date DATE); INSERT INTO aerospace.satellites VALUES (1, 'USA', '2000-01-01'); INSERT INTO aerospace.satellites VALUES (2, 'Russia', '2001-02-01'); INSERT INTO aerospace.satellites VALUES (3, 'China', '2002-03-01'); | What is the total number of satellites launched by country in descending order? | SELECT country, COUNT(satellite_id) OVER (ORDER BY COUNT(satellite_id) DESC) as total_launched FROM aerospace.satellites GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (year INT, region VARCHAR(10), element VARCHAR(10), quantity INT); INSERT INTO production (year, region, element, quantity) VALUES (2015, 'Asia', 'Lanthanum', 1200), (2016, 'Asia', 'Lanthanum', 1400), (2017, 'Asia', 'Lanthanum', 1500), (2018, 'Asia', 'Lanthanum', 1800), (2019, 'Asia', 'Lanthanum... | Which element had the highest production increase from 2017 to 2018 in Asia? | SELECT element, (MAX(quantity) - MIN(quantity)) AS production_increase FROM production WHERE region = 'Asia' AND year IN (2017, 2018) GROUP BY element ORDER BY production_increase DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_planets (name TEXT, distance_from_sun FLOAT); INSERT INTO space_planets (name, distance_from_sun) VALUES ('Mercury', 0.39), ('Venus', 0.72), ('Earth', 1.00), ('Mars', 1.52), ('Jupiter', 5.20), ('Saturn', 9.58), ('Uranus', 19.18), ('Neptune', 30.07); | What is the minimum distance between Earth and any other planet? | SELECT MIN(ABS(distance_from_sun - 1.00)) FROM space_planets; | gretelai_synthetic_text_to_sql |
CREATE TABLE habitat_preservation (id INT, species VARCHAR(255), area INT); | Find the species with the lowest total habitat area in 'habitat_preservation' table. | SELECT species, SUM(area) AS total_area FROM habitat_preservation GROUP BY species ORDER BY total_area LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE sargasso_sea (location TEXT, depth INTEGER); INSERT INTO sargasso_sea (location, depth) VALUES ('Sargasso Sea', 4000); | What is the minimum depth recorded in the Sargasso Sea? | SELECT MIN(depth) FROM sargasso_sea; | gretelai_synthetic_text_to_sql |
CREATE TABLE media_content (id INT, content_id INT, represents_group BOOLEAN, group_name VARCHAR); INSERT INTO media_content (id, content_id, represents_group, group_name) VALUES (1, 1, true, 'LGBTQ+'); INSERT INTO media_content (id, content_id, represents_group, group_name) VALUES (2, 2, false, 'Women'); | What are the top 5 most represented cultural groups in media content? | SELECT group_name, represents_group, COUNT(*) as num_representations FROM media_content WHERE represents_group = true GROUP BY group_name ORDER BY num_representations DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE factory_emissions (id INT, factory VARCHAR(100), location VARCHAR(100), co2_emissions DECIMAL(5,2)); INSERT INTO factory_emissions (id, factory, location, co2_emissions) VALUES (1, 'Germany Factory', 'Germany', 50), (2, 'France Factory', 'France', 70), (3, 'Italy Factory', 'Italy', 60); | What is the average CO2 emission of factories in Europe? | SELECT AVG(co2_emissions) FROM factory_emissions WHERE location = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_storage_sk (id INT, year INT, country VARCHAR(255), capacity FLOAT); INSERT INTO energy_storage_sk (id, year, country, capacity) VALUES (1, 2016, 'South Korea', 120.5), (2, 2017, 'South Korea', 135.2), (3, 2018, 'South Korea', 142.1), (4, 2019, 'South Korea', 150.9); | What is the change in energy storage capacity in South Korea between 2016 and 2019? | SELECT (capacity - LAG(capacity) OVER (PARTITION BY country ORDER BY year)) FROM energy_storage_sk WHERE country = 'South Korea' AND year IN (2017, 2018, 2019); | gretelai_synthetic_text_to_sql |
CREATE TABLE districts (district_name VARCHAR(50), num_citizens INT, num_satisfied_citizens INT); INSERT INTO districts VALUES ('District A', 10000, 8000); INSERT INTO districts VALUES ('District B', 12000, 9500); INSERT INTO districts VALUES ('District C', 15000, 11000); | What is the percentage of citizens who are satisfied with public transportation in each district? | SELECT district_name, (num_satisfied_citizens * 100.0 / num_citizens) as percentage_satisfied FROM districts; | gretelai_synthetic_text_to_sql |
CREATE TABLE Textiles (brand VARCHAR(20), fabric_type VARCHAR(20), quantity INT); INSERT INTO Textiles (brand, fabric_type, quantity) VALUES ('Eco-friendly Fashions', 'Organic Cotton', 1500), ('Eco-friendly Fashions', 'Recycled Polyester', 2000), ('Fab Fashions', 'Viscose', 1200); | Find the total quantity of sustainable fabric used by the 'Eco-friendly Fashions' brand in the 'Textiles' table. | SELECT SUM(quantity) FROM Textiles WHERE brand = 'Eco-friendly Fashions' AND fabric_type = 'Organic Cotton' OR fabric_type = 'Recycled Polyester'; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (id INT PRIMARY KEY, mental_health_score INT, hours_spent_on_ll INT); | What is the minimum number of hours spent on lifelong learning by students who have a mental health score above the average? | SELECT MIN(st.hours_spent_on_ll) FROM students st WHERE st.mental_health_score > (SELECT AVG(st2.mental_health_score) FROM students st2); | gretelai_synthetic_text_to_sql |
CREATE TABLE risk_assessments (assess_id INT, assess_description TEXT, region VARCHAR(50)); | Insert new geopolitical risk assessments for 'Europe' | INSERT INTO risk_assessments (assess_id, assess_description, region) VALUES (1, 'Rising political tensions', 'Europe'), (2, 'Economic instability', 'Europe'); | gretelai_synthetic_text_to_sql |
CREATE TABLE geology_company (id INT, name VARCHAR, position VARCHAR, department VARCHAR, salary DECIMAL); INSERT INTO geology_company (id, name, position, department, salary) VALUES (1, 'Amy Pond', 'Geologist', 'Geology', 80000.00), (2, 'Rory Williams', 'Assistant Geologist', 'Geology', 60000.00), (3, 'Melody Pond', '... | What is the average salary for geologists in the 'geology_company' table? | SELECT AVG(salary) FROM geology_company WHERE position LIKE '%Geologist%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_prices (id INT, country VARCHAR(50), price FLOAT, start_date DATE, end_date DATE); INSERT INTO carbon_prices (id, country, price, start_date, end_date) VALUES (1, 'Brazil', 12.0, '2023-04-01', '2023-12-31'); INSERT INTO carbon_prices (id, country, price, start_date, end_date) VALUES (2, 'South Afric... | What is the carbon price for Brazil and South Africa on April 1, 2023? | SELECT country, price FROM carbon_prices WHERE start_date <= '2023-04-01' AND end_date >= '2023-04-01' AND country IN ('Brazil', 'South Africa'); | gretelai_synthetic_text_to_sql |
CREATE TABLE game_designers (designer_id INT, gender VARCHAR(10), genre VARCHAR(10), players INT); | How many male players have designed a puzzle game and have more than 5,000 players? | SELECT COUNT(*) FROM game_designers WHERE gender = 'male' AND genre = 'puzzle' AND players > 5000; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurant_revenue(restaurant_id INT, cuisine VARCHAR(255), region VARCHAR(255), revenue DECIMAL(10,2), revenue_date DATE); | What is the total revenue for the 'Seafood' cuisine category in the 'North America' region for the month of April 2022? | SELECT SUM(revenue) FROM restaurant_revenue WHERE cuisine = 'Seafood' AND region = 'North America' AND revenue_date BETWEEN '2022-04-01' AND '2022-04-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE member_age (id INT, member_id INT, age INT); INSERT INTO member_age (id, member_id, age) VALUES (1, 501, 55), (2, 502, 45), (3, 503, 60), (4, 504, 35); | Which members have an age greater than 50? | SELECT DISTINCT member_id FROM member_age WHERE age > 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name TEXT, country TEXT, amount_donated DECIMAL); INSERT INTO donors (id, name, country, amount_donated) VALUES (1, 'John Doe', 'USA', 500.00), (2, 'Jane Smith', 'Canada', 300.00); | What is the average amount donated by donors from the United States? | SELECT AVG(amount_donated) FROM donors WHERE country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ticket_sales(artist_id INT, region VARCHAR(50), sales INT); | Update the ticket sales for the artist 'BTS' in 'Asia' by 10%. | UPDATE ticket_sales SET sales = sales * 1.1 WHERE artist_id = (SELECT artist_id FROM artists WHERE name = 'BTS') AND region = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists(id INT, name VARCHAR(255), category VARCHAR(255), num_works INT); INSERT INTO artists (id, name, category, num_works) VALUES (1, 'Picasso', 'Modern Art', 1000), (2, 'Matisse', 'Modern Art', 800), (3, 'Warhol', 'Contemporary Art', 700); | Who is the most prolific artist in the 'Modern Art' category? | SELECT name FROM artists WHERE category = 'Modern Art' ORDER BY num_works DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE states ( state_id INT, state_name TEXT ); INSERT INTO states (state_id, state_name) VALUES (1, 'California'), (2, 'Texas'), (3, 'New York'), (4, 'Florida'), (5, 'Illinois'); CREATE TABLE residential_water_usage ( id INT, state_id INT, year INT, water_consumption FLOAT ); INSERT INTO residential_water_usage... | List the top 3 states with the highest water consumption in the residential sector in 2019? | SELECT s.state_name, SUM(r.water_consumption) as total_water_consumption FROM states s JOIN residential_water_usage r ON s.state_id = r.state_id WHERE r.year = 2019 GROUP BY s.state_name ORDER BY total_water_consumption DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE electric_ferries (ferry_id INT, passenger_capacity INT, city VARCHAR(50)); | What is the total number of electric ferries in Oslo and their total passenger capacity? | SELECT COUNT(*), SUM(passenger_capacity) FROM electric_ferries WHERE city = 'Oslo'; | gretelai_synthetic_text_to_sql |
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