context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE Employees (EmployeeID INT, Department VARCHAR(20), Position VARCHAR(20), Salary INT, Ethnicity VARCHAR(20), IsFullTime BOOLEAN); | What is the number of employees by ethnicity and their average salary in the Mining department? | SELECT Ethnicity, AVG(Salary) FROM Employees WHERE Department = 'Mining' AND IsFullTime = TRUE GROUP BY Ethnicity; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_infrastructure (id INT, project_name VARCHAR(50), location VARCHAR(50), cost FLOAT); INSERT INTO water_infrastructure (id, project_name, location, cost) VALUES (1, 'Water Treatment Plant', 'San Francisco', 5000000); INSERT INTO water_infrastructure (id, project_name, location, cost) VALUES (2, 'Dam',... | How many projects are there in the 'water_infrastructure' table? | SELECT COUNT(*) FROM water_infrastructure; | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (id INT PRIMARY KEY, city_name VARCHAR(255), state VARCHAR(255), country VARCHAR(255)); | Find the average number of charging stations per city in the ev_charging_stations table | SELECT city, AVG(num_chargers) FROM (SELECT city, COUNT(*) as num_chargers FROM ev_charging_stations JOIN cities ON ev_charging_stations.location LIKE CONCAT('%', cities.city_name, '%') GROUP BY city) AS charging_stations; | gretelai_synthetic_text_to_sql |
CREATE TABLE union_members (member_id INT, gender VARCHAR(6), state VARCHAR(2)); INSERT INTO union_members (member_id, gender, state) VALUES (1, 'Female', 'NY'), (2, 'Male', 'CA'), (3, 'Female', 'IL'); | Which states have the most female union members? | SELECT state, COUNT(*) as num_female_members FROM union_members WHERE gender = 'Female' GROUP BY state ORDER BY num_female_members DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE museums (id INT, city VARCHAR(20), art_pieces INT); INSERT INTO museums (id, city, art_pieces) VALUES (1, 'Tokyo', 5000), (2, 'Tokyo', 7000), (3, 'Paris', 8000); | Which museums in 'Tokyo' have the highest and lowest number of art pieces? | SELECT city, MAX(art_pieces) AS max_art_pieces, MIN(art_pieces) AS min_art_pieces FROM museums WHERE city = 'Tokyo'; | gretelai_synthetic_text_to_sql |
CREATE TABLE nutrition_data (product_id INT, product_name VARCHAR(50), calorie_count INT); INSERT INTO nutrition_data (product_id, product_name, calorie_count) VALUES (1, 'Apple', 95), (2, 'Carrot', 50), (3, 'Celery', 18); | List the top 5 products with the lowest calorie count in the nutrition_data table. | SELECT product_id, product_name, calorie_count FROM (SELECT product_id, product_name, calorie_count, ROW_NUMBER() OVER (ORDER BY calorie_count ASC) AS rank FROM nutrition_data) WHERE rank <= 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (year INT, element TEXT, quantity INT); INSERT INTO production (year, element, quantity) VALUES (2015, 'Dysprosium', 100), (2016, 'Dysprosium', 150), (2017, 'Dysprosium', 200), (2018, 'Dysprosium', 250), (2019, 'Dysprosium', 300), (2020, 'Dysprosium', 350), (2015, 'Neodymium', 500), (2016, 'Neod... | Which REEs were produced in 2017? | SELECT DISTINCT element FROM production WHERE year = 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemicals_manufactured (id INT, chemical_name VARCHAR(255), region VARCHAR(255), production_rate FLOAT); INSERT INTO chemicals_manufactured (id, chemical_name, region, production_rate) VALUES (1, 'Acetone', 'North America', 500.0), (2, 'Methanol', 'North America', 700.0); | What is the average production rate of chemicals in the North America region? | SELECT AVG(production_rate) FROM chemicals_manufactured WHERE region = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE pets (policyholder_id INT, pet_type VARCHAR(10)); INSERT INTO pets (policyholder_id, pet_type) VALUES (1, 'Dog'), (2, 'Cat'), (3, 'Bird'); CREATE TABLE claims (claim_id INT, policyholder_id INT, amount DECIMAL(10, 2)); INSERT INTO claims (claim_id, policyholder_id, amount) VALUES (1, 1, 500), (2, 3, 100), ... | What is the average claim amount for policyholders with dogs? | SELECT AVG(c.amount) as avg_claim_amount FROM claims c JOIN pets p ON c.policyholder_id = p.policyholder_id WHERE p.pet_type = 'Dog'; | gretelai_synthetic_text_to_sql |
CREATE TABLE temperature_data (id INT, farm_id INT, temperature FLOAT, measurement_date DATE); | Delete all temperature data for farm_id 678 | DELETE FROM temperature_data WHERE farm_id = 678; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (RestaurantID int, Name varchar(50)); INSERT INTO Restaurants (RestaurantID, Name) VALUES (1, 'Asian Fusion'), (2, 'Bistro Bella Vita'), (3, 'Cocina del Sol'); CREATE TABLE MenuItems (MenuItemID int, RestaurantID int, Name varchar(50), Revenue decimal(5,2)); INSERT INTO MenuItems (MenuItemID, R... | Identify the top 3 menu items with the highest revenue for each restaurant, and calculate the total revenue for those items. | SELECT R.Name, MI.Name, SUM(MI.Revenue) AS TotalRevenue FROM Restaurants R JOIN (SELECT RestaurantID, Name, Revenue, ROW_NUMBER() OVER (PARTITION BY RestaurantID ORDER BY Revenue DESC) AS Ranking FROM MenuItems) MI ON R.RestaurantID = MI.RestaurantID WHERE MI.Ranking <= 3 GROUP BY R.Name, MI.Name ORDER BY TotalRevenue ... | gretelai_synthetic_text_to_sql |
CREATE TABLE heritage_sites (id INT, name VARCHAR); INSERT INTO heritage_sites (id, name) VALUES (1, 'Heritage Site A'), (2, 'Heritage Site B'); CREATE TABLE traditional_arts (id INT, site_id INT, art_type VARCHAR); INSERT INTO traditional_arts (id, site_id) VALUES (1, 1), (2, 2); | List all heritage sites and their associated traditional arts. | SELECT heritage_sites.name, traditional_arts.art_type FROM heritage_sites INNER JOIN traditional_arts ON heritage_sites.id = traditional_arts.site_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE q2_program_category (id INT, program_category VARCHAR(50), program VARCHAR(50), volunteer_hours INT); INSERT INTO q2_program_category (id, program_category, program, volunteer_hours) VALUES (1, 'Education', 'Mentorship', 10), (2, 'Health', 'Tutoring', 15), (3, 'Education', 'Mentorship', 12); | What is the total number of volunteer hours per program category in Q2 2022? | SELECT program_category, SUM(volunteer_hours) as total_volunteer_hours FROM q2_program_category WHERE volunteer_date BETWEEN '2022-04-01' AND '2022-06-30' GROUP BY program_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE species_count (id INT, species_name VARCHAR, biome VARCHAR, animal_count INT); | List the species with the highest and lowest sighting counts in the Arctic. | SELECT species_name, animal_count FROM (SELECT species_name, biome, animal_count, RANK() OVER (PARTITION BY biome ORDER BY animal_count DESC, species_name ASC) as rank FROM species_count WHERE biome = 'Arctic') as subquery WHERE rank IN (1, (SELECT COUNT(DISTINCT species_name) FROM species_count WHERE biome = 'Arctic')... | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (id INT, name TEXT, country TEXT, continent TEXT, reviews INT); INSERT INTO hotels (id, name, country, continent, reviews) VALUES (1, 'Eco-Hotel', 'Germany', 'Europe', 180), (2, 'Green-Lodge', 'Germany', 'Europe', 120), (3, 'Nature-Resort', 'Italy', 'Europe', 200), (4, 'Bio-Hotel', 'Brazil', 'South ... | List the number of sustainable hotels with more than 100 reviews in each continent. | SELECT continent, COUNT(*) as hotel_count FROM hotels WHERE reviews > 100 GROUP BY continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE sites (site_id INT, site_name TEXT, country TEXT); CREATE TABLE bookings (booking_id INT, site_id INT, revenue INT); INSERT INTO sites (site_id, site_name, country) VALUES (1, 'Angkor Wat', 'Cambodia'); INSERT INTO bookings (booking_id, site_id, revenue) VALUES (1, 1, 5000); | Which cultural heritage sites have the most bookings? | SELECT sites.site_name, SUM(bookings.revenue) FROM sites JOIN bookings ON sites.site_id = bookings.site_id GROUP BY sites.site_id ORDER BY SUM(bookings.revenue) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (port_id INT, port_name TEXT, country TEXT); INSERT INTO ports (port_id, port_name, country) VALUES (1, 'Port A', 'USA'), (2, 'Port B', 'Canada'), (3, 'Port C', 'USA'); CREATE TABLE visits (visit_id INT, vessel_id INT, port_id INT); INSERT INTO visits (visit_id, vessel_id, port_id) VALUES (1, 1, 1), ... | How many unique vessels visited each country? | SELECT countries, COUNT(DISTINCT vessels.vessel_id) FROM ports JOIN visits ON ports.port_id = visits.port_id JOIN (SELECT DISTINCT vessel_id, port_id FROM visits) AS vessels ON visits.vessel_id = vessels.vessel_id GROUP BY countries; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cultural_Heritage_Sites (id INT, name VARCHAR(255), location VARCHAR(255), year_established INT, PRIMARY KEY(id)); INSERT INTO Cultural_Heritage_Sites (id, name, location, year_established) VALUES (1, 'Todai-ji Temple', 'Nara, Japan', 745); | What are the names and annual revenues of all cultural heritage sites located in Tokyo, Japan? | SELECT c.name, c.annual_revenue FROM Cultural_Heritage_Sites c WHERE c.location = 'Tokyo, Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE exit (id INT, company_id INT, exit_year INT, exit_quarter TEXT, exit_type TEXT); | Show exits in Q1 2020 | SELECT * FROM exit WHERE exit_year = 2020 AND exit_quarter = 'Q1'; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu (menu_id INT, name VARCHAR(50), category VARCHAR(50), price DECIMAL(5,2)); INSERT INTO menu (menu_id, name, category, price) VALUES (1, 'Chicken Alfredo', 'Pasta', 12.99), (2, 'Chicken Parmesan', 'Entree', 16.99); CREATE TABLE orders (order_id INT, order_date DATE, menu_id INT, quantity INT); INSERT I... | What is the total quantity of chicken dishes sold in the month of January 2022? | SELECT SUM(quantity) FROM orders JOIN menu ON orders.menu_id = menu.menu_id WHERE menu.category = 'Pasta' AND orders.order_date BETWEEN '2022-01-01' AND '2022-01-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(50), country VARCHAR(50), accessibility_rating FLOAT); INSERT INTO products (product_id, product_name, country, accessibility_rating) VALUES (1, 'Screen Reader Software', 'Canada', 4.5), (2, 'Adaptive Mouse', 'United States', 4.7); | What is the total number of accessible technology products for people with disabilities in Canada and the United States? | SELECT SUM(accessibility_rating) FROM products WHERE country IN ('Canada', 'United States') AND accessibility_rating IS NOT NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE dams (id INT, name VARCHAR(255), location VARCHAR(255), elevation INT, height INT, reservoir VARCHAR(255)); INSERT INTO dams (id, name, location, elevation, height, reservoir) VALUES (1, 'Hoover Dam', 'Nevada, Arizona', 530, 221, 'Lake Mead'); | Which dams in Texas have a higher elevation than the Hoover Dam? | SELECT name, elevation FROM dams WHERE elevation > (SELECT elevation FROM dams WHERE name = 'Hoover Dam') AND location LIKE '%TX%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE socially_responsible_lending_data (lending_id INT, amount DECIMAL(15, 2), country VARCHAR(50)); INSERT INTO socially_responsible_lending_data (lending_id, amount, country) VALUES (1, 5000000, 'Brazil'), (2, 7000000, 'India'), (3, 6000000, 'South Africa'), (4, 8000000, 'Indonesia'), (5, 9000000, 'China'); C... | What is the total socially responsible lending for each country? | SELECT country, total_lending FROM socially_responsible_lending_view; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, country VARCHAR(255)); CREATE TABLE posts (id INT, user_id INT, content TEXT); INSERT INTO users (id, country) VALUES (1, 'India'), (2, 'India'), (3, 'India'), (4, 'USA'), (5, 'Canada'); INSERT INTO posts (id, user_id, content) VALUES (1, 1, 'Hello'), (2, 1, 'World'), (3, 2, 'AI'), (4, 2, 'D... | Who are the top 5 users in India by number of posts? | SELECT users.id, users.country, COUNT(posts.id) AS post_count FROM users JOIN posts ON users.id = posts.user_id WHERE users.country = 'India' GROUP BY users.id ORDER BY post_count DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Visitors (VisitorID INT, Age INT, Country VARCHAR(50)); INSERT INTO Visitors (VisitorID, Age, Country) VALUES (1, 35, 'Brazil'), (2, 45, 'Argentina'); | What is the average arrival age of visitors from 'Brazil' and 'Argentina' in the first half of '2022'? | SELECT AVG(Age) FROM Visitors WHERE Country IN ('Brazil', 'Argentina') AND ArrivalDate BETWEEN '2022-01-01' AND '2022-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE violations (platform VARCHAR(255), violation_count INT); INSERT INTO violations (platform, violation_count) VALUES ('Binance', 50); INSERT INTO violations (platform, violation_count) VALUES ('Kraken', 25); | Delete all regulatory violations related to the Binance platform. | DELETE FROM violations WHERE platform = 'Binance'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vehicles (VehicleID int, VehicleType varchar(50), LastMaintenanceDate date); INSERT INTO Vehicles VALUES (1, 'Bus', '2022-03-20'); INSERT INTO Vehicles VALUES (2, 'Tram', '2022-03-15'); INSERT INTO Vehicles VALUES (3, 'Train', '2022-04-01'); | Which vehicles are due for maintenance this week? | SELECT * FROM Vehicles WHERE LastMaintenanceDate <= DATE_SUB(CURDATE(), INTERVAL 7 DAY); | gretelai_synthetic_text_to_sql |
CREATE TABLE Consumption(id INT, consumer_id INT, material VARCHAR(50), quantity INT); INSERT INTO Consumption(id, consumer_id, material, quantity) VALUES (1, 1, 'Bamboo Fabric', 50), (2, 2, 'Organic Silk', 75), (3, 3, 'Tencel', 60); | What is the total quantity of sustainable material consumed by consumers? | SELECT SUM(quantity) FROM Consumption; | gretelai_synthetic_text_to_sql |
CREATE TABLE poolhotels (id INT, name VARCHAR(255), region VARCHAR(255), revenue FLOAT, has_pool BOOLEAN); INSERT INTO poolhotels (id, name, region, revenue, has_pool) VALUES (1, 'Pool Hotel', 'North America', 35000, 1); INSERT INTO poolhotels (id, name, region, revenue, has_pool) VALUES (2, 'No-Pool Hotel', 'North Ame... | Calculate the total revenue for hotels with a 'pool' in the 'North America' region. | SELECT SUM(revenue) FROM poolhotels WHERE region = 'North America' AND has_pool = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE emergencies (id INT, emergency_type VARCHAR(20), neighborhood VARCHAR(20), response_time FLOAT); INSERT INTO emergencies (id, emergency_type, neighborhood, response_time) VALUES (1, 'medical', 'Little Italy', 10.5), (2, 'fire', 'Little Italy', 7.3), (3, 'fire', 'Downtown', 9.1), (4, 'fire', 'Little Italy',... | What is the average response time for fire emergencies in 'Little Italy'? | SELECT AVG(response_time) FROM emergencies WHERE emergency_type = 'fire' AND neighborhood = 'Little Italy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ticket_sales_by_month (sale_id INT, sale_date DATE, price DECIMAL(5,2)); INSERT INTO ticket_sales_by_month (sale_id, sale_date, price) VALUES (1, '2022-01-01', 75), (2, '2022-02-01', 80), (3, '2022-03-01', 85), (4, '2022-04-01', 90); | What are the total ticket sales for each month in 2022? | SELECT EXTRACT(MONTH FROM sale_date) as month, SUM(price) as total_sales FROM ticket_sales_by_month GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (id INT, category VARCHAR(50), circular_supply_chain BOOLEAN, co2_emission_reduction INT); | What is the average CO2 emission reduction, in kg, for products with a circular supply chain, by category, in the past year? | SELECT category, AVG(co2_emission_reduction) as avg_co2_reduction FROM products WHERE circular_supply_chain = TRUE AND date >= DATEADD(year, -1, GETDATE()) GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE PoliciesBroker (PolicyID INT, IssueDate DATE, Broker VARCHAR(20)); INSERT INTO PoliciesBroker (PolicyID, IssueDate, Broker) VALUES (1, '2022-01-01', 'BrokerSmith'), (2, '2022-02-01', 'BrokerJones'); | Display the earliest issue date for policies handled by 'BrokerSmith'. | SELECT MIN(IssueDate) FROM PoliciesBroker WHERE Broker = 'BrokerSmith'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Customers (CustomerID INT, TransactionDate DATE, TransactionAmount DECIMAL(10,2)); | Calculate the average transaction amount for each customer in the "Customers" table. | SELECT CustomerID, AVG(TransactionAmount) as AvgTransactionAmount FROM Customers GROUP BY CustomerID; | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping (country VARCHAR(50), year INT, operation VARCHAR(50)); INSERT INTO peacekeeping (country, year, operation) VALUES ('Egypt', 2021, 'MINUSCA'); INSERT INTO peacekeeping (country, year, operation) VALUES ('Mexico', 2021, 'MONUSCO'); INSERT INTO peacekeeping (country, year, operation) VALUES ('Ne... | Which countries participated in peacekeeping operations in 2021? | SELECT DISTINCT country FROM peacekeeping WHERE year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_infrastructure (id INT, project_name VARCHAR(50), location VARCHAR(50), budget DECIMAL(10,2)); INSERT INTO rural_infrastructure (id, project_name, location, budget) VALUES (1, 'Water Supply', 'Village A', 25000.00), (2, 'Road Construction', 'Village B', 50000.00), (3, 'Electricity Supply', 'Village A... | What is the average budget for rural infrastructure projects in each location in the 'rural_infrastructure' table? | SELECT location, AVG(budget) as avg_budget FROM rural_infrastructure GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft (id INT, name VARCHAR(255), destination VARCHAR(255), launch_date DATE); INSERT INTO spacecraft (id, name, destination, launch_date) VALUES (1, 'Cassini', 'Jupiter', '1997-10-15'); INSERT INTO spacecraft (id, name, destination, launch_date) VALUES (2, 'Juno', 'Jupiter', '2011-08-05'); | What is the earliest launch date for a spacecraft to Jupiter? | SELECT launch_date FROM spacecraft WHERE destination = 'Jupiter' ORDER BY launch_date ASC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE CulturalHeritage (venue_id INT PRIMARY KEY, cultural_significance VARCHAR(255), last_audit DATETIME, FOREIGN KEY (venue_id) REFERENCES Venues(id)); INSERT INTO CulturalHeritage (venue_id, cultural_significance, last_audit) VALUES (1, 'UNESCO World Heritage Site', '2022-01-01'); CREATE TABLE Revenue (venue_... | Create a view that displays the venue name, cultural significance, and revenue generated for venues in India. | CREATE VIEW VenueInfo AS SELECT v.name, c.cultural_significance, r.revenue_generated FROM Venues v INNER JOIN CulturalHeritage c ON v.id = c.venue_id INNER JOIN Revenue r ON v.id = r.venue_id WHERE v.country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, name TEXT, category TEXT, price FLOAT); INSERT INTO products (product_id, name, category, price) VALUES (1, 'Dress', 'Fair Trade', 80.0); INSERT INTO products (product_id, name, category, price) VALUES (2, 'Shirt', 'Fair Trade', 60.0); | What is the most expensive product in the 'Fair Trade' category? | SELECT name, price FROM products WHERE category = 'Fair Trade' ORDER BY price DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_schools (id INT, name VARCHAR(100), type VARCHAR(20), location VARCHAR(50)); INSERT INTO public_schools VALUES (1, 'School A', 'Public', 'California'); INSERT INTO public_schools VALUES (2, 'School B', 'Public', 'California'); CREATE TABLE private_schools (id INT, name VARCHAR(100), type VARCHAR(20)... | What is the total number of public schools and private schools in the state of California, grouped by school type? | SELECT COUNT(ps.id) AS public_school_count, COUNT(pr.id) AS private_school_count FROM public_schools ps JOIN private_schools pr ON ps.location = pr.location WHERE ps.location = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Products (ProductID int, ProductName varchar(50), Category varchar(50), Rating float, Country varchar(50)); INSERT INTO Products (ProductID, ProductName, Category, Rating, Country) VALUES (1, 'Lipstick A', 'Lipstick', 4.2, 'USA'), (2, 'Lipstick B', 'Lipstick', 4.5, 'Canada'), (3, 'Lipstick C', 'Lipstick', ... | Which country has the highest average rating for lipsticks? | SELECT Country, AVG(Rating) as AvgRating FROM Products WHERE Category = 'Lipstick' GROUP BY Country ORDER BY AvgRating DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE legal_aid_practices (provider_id INT, practice_id INT); CREATE TABLE restorative_practices (practice_id INT, practice VARCHAR(255)); | Which restorative practices are available across all legal aid providers in the 'legal_aid_practices' table? | SELECT practice FROM restorative_practices WHERE practice_id IN (SELECT practice_id FROM legal_aid_practices GROUP BY practice_id HAVING COUNT(DISTINCT provider_id) = (SELECT COUNT(DISTINCT provider_id) FROM legal_aid_practices)); | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (id INT, region VARCHAR(50), year INT, recycling_rate DECIMAL(5,2)); INSERT INTO recycling_rates (id, region, year, recycling_rate) VALUES (1, 'North', 2020, 0.63), (2, 'South', 2020, 0.59), (3, 'East', 2020, 0.46), (4, 'West', 2020, 0.71), (5, 'North', 2019, 0.60), (6, 'South', 2019, 0.57)... | Update recycling rates for the North region to 65% for 2022. | UPDATE recycling_rates SET recycling_rate = 0.65 WHERE region = 'North' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists wells (well_id int, region varchar(50), production_year int, oil_production int, gas_production int);INSERT INTO wells (well_id, region, production_year, oil_production, gas_production) VALUES (1, 'Niobrara', 2020, 100000, 450000), (2, 'Niobrara', 2019, 90000, 400000), (3, 'Niobrara', 2018, 8... | List all the wells in the Niobrara region with their respective production figures for 2020 | SELECT * FROM wells WHERE region = 'Niobrara' AND production_year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_operations (id INT, name VARCHAR(50), region VARCHAR(50)); CREATE TABLE environmental_impact (operation_id INT, score INT); INSERT INTO mining_operations (id, name, region) VALUES (1, 'Mine A', 'Southern'), (2, 'Mine B', 'Northern'); INSERT INTO environmental_impact (operation_id, score) VALUES (1, ... | List all mining operations in the Northern region with their associated environmental impact scores, if any. | SELECT mo.name, ei.score FROM mining_operations mo LEFT JOIN environmental_impact ei ON mo.id = ei.operation_id WHERE mo.region = 'Northern'; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_storage (country VARCHAR(20), installed_capacity INT); INSERT INTO energy_storage (country, installed_capacity) VALUES ('China', 120000), ('India', 35000), ('Japan', 28000); | What is the total installed capacity of energy storage in China, India, and Japan? | SELECT SUM(installed_capacity) FROM energy_storage WHERE country IN ('China', 'India', 'Japan'); | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (id INT, name VARCHAR(50), region VARCHAR(20), assets DECIMAL(10,2)); INSERT INTO customers (id, name, region, assets) VALUES (1, 'John Doe', 'Southwest', 50000.00), (2, 'Jane Smith', 'Northeast', 75000.00), (3, 'Kofi Anan', 'Africa', 80000.00), (4, 'Ngozi Okonjo-Iweala', 'Africa', 90000.00); | What is the total assets value for customers in 'Africa'? | SELECT SUM(assets) FROM customers WHERE region = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (id INT, name VARCHAR(50), mental_health_score INT, grade INT); INSERT INTO students (id, name, mental_health_score, grade) VALUES (1, 'John Doe', 65, 6); | Students with average mental health and low grades | SELECT name FROM students WHERE mental_health_score BETWEEN 60 AND 79 INTERSECT SELECT name FROM students WHERE grade < 7; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (region_id INT PRIMARY KEY, region_name VARCHAR(50)); CREATE TABLE frauds (fraud_id INT PRIMARY KEY, region_id INT, amount DECIMAL(10, 2)); | Identify top 3 regions with highest credit card fraud amounts | SELECT r.region_name, SUM(f.amount) AS total_fraud_amount FROM regions r JOIN frauds f ON r.region_id = f.region_id GROUP BY r.region_id ORDER BY total_fraud_amount DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Claims (PolicyID INT, ClaimAmount DECIMAL(10, 2), City VARCHAR(20)); INSERT INTO Claims (PolicyID, ClaimAmount, City) VALUES (1, 500.00, 'CityX'), (2, 1000.00, 'CityY'); | Show all claims for policyholders living in 'CityX' and 'CityY'. | SELECT * FROM Claims WHERE City IN ('CityX', 'CityY'); | gretelai_synthetic_text_to_sql |
CREATE TABLE TalentAcquisition (ApplicantID INT PRIMARY KEY, JobTitle VARCHAR(30), Department VARCHAR(20), ApplicationDate DATE); | Insert records into the TalentAcquisition table | INSERT INTO TalentAcquisition (ApplicantID, JobTitle, Department, ApplicationDate) VALUES (1, 'Software Engineer', 'Engineering', '2022-01-01'), (2, 'Data Analyst', 'Marketing', '2022-02-15'), (3, 'Project Manager', 'Operations', '2022-03-05'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Infections (InfectionID INT, Age INT, Gender VARCHAR(10), City VARCHAR(20), Disease VARCHAR(20)); INSERT INTO Infections (InfectionID, Age, Gender, City, Disease) VALUES (1, 30, 'Male', 'Los Angeles', 'Tuberculosis'); | List the top 5 cities with the highest Tuberculosis infection rate. | SELECT City, COUNT(*) as InfectionCount, (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Infections)) as Rate FROM Infections WHERE Disease = 'Tuberculosis' GROUP BY City ORDER BY Rate DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(100), release_year INT, production_budget INT, country VARCHAR(50)); INSERT INTO movies (id, title, release_year, production_budget, country) VALUES (1, 'MovieA', 2010, 20000000, 'France'); INSERT INTO movies (id, title, release_year, production_budget, country) VALUES (2, 'Mo... | What's the average production budget for movies released in France and Germany between 2010 and 2015? | SELECT AVG(production_budget) FROM movies WHERE release_year BETWEEN 2010 AND 2015 AND country IN ('France', 'Germany'); | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tour_emissions (id INT, name TEXT, continent TEXT, co2_emissions INT, tour_date DATE); INSERT INTO virtual_tour_emissions (id, name, continent, co2_emissions, tour_date) VALUES (1, 'European Capitals', 'Europe', 120, '2021-04-12'), (2, 'Asian Wonders', 'Asia', 150, '2021-09-23'), (3, 'American Land... | Calculate the total CO2 emissions by virtual tours for each continent in 2021. | SELECT continent, SUM(co2_emissions) as total_emissions FROM virtual_tour_emissions WHERE YEAR(tour_date) = 2021 GROUP BY continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE Music_Artists (id INT, name VARCHAR(100), genre VARCHAR(50), country VARCHAR(50)); INSERT INTO Music_Artists (id, name, genre, country) VALUES (1, 'Talyor Swift', 'Country', 'United States'); INSERT INTO Music_Artists (id, name, genre, country) VALUES (2, 'BTS', 'K-Pop', 'South Korea'); | Delete all records from the 'Music_Artists' table with a country of 'United States'. | DELETE FROM Music_Artists WHERE country = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE songs (id INT, title TEXT, duration FLOAT, genre TEXT); INSERT INTO songs (id, title, duration, genre) VALUES (1, 'Song 1', 3.5, 'Pop'), (2, 'Song 2', 4.2, 'Rock'), (3, 'Song 3', 2.9, 'Pop'); | What is the average duration of pop songs? | SELECT AVG(duration) FROM songs WHERE genre = 'Pop'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, category VARCHAR(50), billing_amount INT); INSERT INTO cases (case_id, category, billing_amount) VALUES (1, 'Personal Injury', 5000), (2, 'Civil Litigation', 7000), (3, 'Personal Injury', 6000), (4, 'Civil Litigation', 8000); | Count the number of cases in the 'Personal Injury' and 'Civil Litigation' categories | SELECT COUNT(*), category FROM cases WHERE category IN ('Personal Injury', 'Civil Litigation') GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE regulatory_compliance (compliance_id INT, regulation_name VARCHAR(50), compliance_status VARCHAR(50), compliance_date DATE); | Remove a record from the regulatory_compliance table | DELETE FROM regulatory_compliance WHERE compliance_id = 22222; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_incidents (id INT, plant_location VARCHAR(50), incident_date DATE); CREATE TABLE plant_locations (id INT, name VARCHAR(50), country VARCHAR(50)); | How many safety incidents were recorded in the chemical manufacturing plant located in Texas in the past year? | SELECT COUNT(*) FROM safety_incidents JOIN plant_locations ON safety_incidents.plant_location = plant_locations.name WHERE plant_locations.country = 'Texas' AND incident_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE broadband_speeds (speed_test_id INT, city VARCHAR(20), median_speed INT); | Which cities have the slowest median broadband speeds? | SELECT city, AVG(median_speed) AS avg_median_speed FROM broadband_speeds GROUP BY city ORDER BY avg_median_speed ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, attorney_name TEXT); INSERT INTO cases (case_id, attorney_name) VALUES (1, 'Alice Smith'), (2, 'Bob Johnson'), (3, 'Bob Johnson'), (4, 'Charlie Brown'); | What is the total number of cases handled by attorney 'Bob Johnson'? | SELECT COUNT(*) FROM cases WHERE attorney_name = 'Bob Johnson'; | gretelai_synthetic_text_to_sql |
CREATE TABLE shipments (id INT, shipment_type VARCHAR(10), revenue DECIMAL(10,2)); INSERT INTO shipments (id, shipment_type, revenue) VALUES (1, 'domestic', 500.00), (2, 'international', 800.00); | What is the total revenue generated from domestic shipments? | SELECT SUM(revenue) FROM shipments WHERE shipment_type = 'domestic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (project_id INT, project_name VARCHAR(255), completion_year INT, region VARCHAR(255)); INSERT INTO projects (project_id, project_name, completion_year, region) VALUES (1, 'Solar Farm', 2021, 'Asia'), (2, 'Water Purification Plant', 2021, 'Africa'), (3, 'Education Center', 2021, 'South America'); | How many projects were successfully completed per region in 2021? | SELECT region, COUNT(project_id) as completed_projects FROM projects WHERE completion_year = 2021 AND completion_status = 'Successful' GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE inclusive_housing_policies (policy_id INT); INSERT INTO inclusive_housing_policies (policy_id) VALUES (1), (2), (3), (4); | How many inclusive housing policies are there in total? | SELECT COUNT(*) FROM inclusive_housing_policies; | gretelai_synthetic_text_to_sql |
CREATE TABLE dance_performances (id INT, event_name VARCHAR(255), attendee_age INT); CREATE TABLE age_groups (id INT, age_range VARCHAR(255), lower_limit INT, upper_limit INT); | What is the total number of attendees for dance performances by age group? | SELECT age_groups.age_range, COUNT(dance_performances.attendee_age) as total_attendees FROM dance_performances INNER JOIN age_groups ON dance_performances.attendee_age BETWEEN age_groups.lower_limit AND age_groups.upper_limit GROUP BY age_groups.age_range; | gretelai_synthetic_text_to_sql |
CREATE TABLE emergency_incidents (id INT, incident_type VARCHAR(255), latitude FLOAT, longitude FLOAT, report_date DATE, location VARCHAR(255)); INSERT INTO emergency_incidents (id, incident_type, latitude, longitude, report_date, location) VALUES (1, 'Medical Emergency', 37.7749, -122.4194, '2020-01-01', 'Downtown San... | What is the total number of emergency incidents reported in the downtown area of San Francisco in the year 2020? | SELECT COUNT(*) FROM emergency_incidents JOIN location_data ON emergency_incidents.location = location_data.id WHERE location_data.name = 'Downtown San Francisco' AND YEAR(report_date) = 2020 AND incident_type = 'Emergency'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_centers (country VARCHAR(20), num_centers INT); INSERT INTO community_health_centers (country, num_centers) VALUES ('Nigeria', 500), ('South Africa', 400); | What is the total number of community health centers in Nigeria and South Africa? | SELECT SUM(num_centers) FROM community_health_centers WHERE country IN ('Nigeria', 'South Africa'); | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_practices (employee_id INT, first_name VARCHAR(50), last_name VARCHAR(50), gender VARCHAR(10), position VARCHAR(50), hours_worked INT); INSERT INTO sustainable_practices (employee_id, first_name, last_name, gender, position, hours_worked) VALUES (3, 'Alice', 'Johnson', 'Female', 'Analyst', 30);... | How many female employees work in the 'sustainable_practices' table? | SELECT COUNT(*) FROM sustainable_practices WHERE gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists conservation_efforts (id INT, name TEXT, location TEXT); | How many conservation efforts exist in 'Mediterranean Sea'? | SELECT COUNT(*) FROM conservation_efforts WHERE location = 'Mediterranean Sea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_impact (id INT PRIMARY KEY, location VARCHAR(255), water_usage INT, air_pollution INT, land_degradation INT); | Get the total water usage for mining in 'Baotou' | SELECT SUM(water_usage) FROM mining_impact WHERE location = 'Baotou'; | gretelai_synthetic_text_to_sql |
CREATE TABLE businesses(business_id INT, business_name VARCHAR(50), country VARCHAR(50), has_virtual_tours BOOLEAN); CREATE VIEW local_businesses AS SELECT business_id, business_name, country FROM businesses WHERE business_name LIKE '%local%'; | What is the percentage of local businesses in Brazil that have implemented virtual tourism? | SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM local_businesses)) AS percentage FROM local_businesses WHERE has_virtual_tours = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE biodiversity (id INT, species VARCHAR(255), population INT); INSERT INTO biodiversity (id, species, population) VALUES (1, 'Polar Bear', 5000), (2, 'Arctic Fox', 10000), (3, 'Caribou', 20000); | What is the maximum population of species in the 'biodiversity' table for those with a population greater than 10000? | SELECT MAX(population) FROM biodiversity WHERE population > 10000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Mines (MineID INT, MineName TEXT, Location TEXT, Employees INT); CREATE TABLE ExtractionData (ExtractionDataID INT, MineID INT, Date DATE, Mineral TEXT, Quantity INT); | What is the average labor productivity (measured in units of mineral extracted per employee) for each mine? | SELECT Mines.MineName, AVG(Quantity/Employees) FROM Mines INNER JOIN ExtractionData ON Mines.MineID = ExtractionData.MineID GROUP BY Mines.MineName; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (donation_id INT, donation_amount DECIMAL, donation_date DATE, donor_country TEXT); INSERT INTO donations VALUES (1, 500, '2020-01-05', 'USA'); INSERT INTO donations VALUES (2, 600, '2020-02-10', 'Canada'); INSERT INTO donations VALUES (3, 700, '2020-03-15', 'USA'); INSERT INTO donations VALUES (... | What is the total donation amount per country in 2020? | SELECT donor_country, SUM(donation_amount) as total_donation FROM donations WHERE donation_date >= '2020-01-01' AND donation_date < '2021-01-01' GROUP BY donor_country; | gretelai_synthetic_text_to_sql |
CREATE TABLE CybersecurityIncidents (IncidentID INT, IncidentName VARCHAR(255), IncidentDate DATE);CREATE TABLE AgencyIncidents (AgencyID INT, IncidentID INT, AgencyName VARCHAR(255));CREATE TABLE Agencies (AgencyID INT, AgencyName VARCHAR(255), Country VARCHAR(255)); | What is the total number of cybersecurity incidents and the corresponding number of countries involved for each year in the past 5 years? | SELECT EXTRACT(YEAR FROM IncidentDate) as Year, COUNT(DISTINCT IncidentID) as IncidentCount, COUNT(DISTINCT A.Country) as CountryCount FROM CybersecurityIncidents CI INNER JOIN AgencyIncidents AI ON CI.IncidentID = AI.IncidentID INNER JOIN Agencies A ON AI.AgencyID = A.AgencyID WHERE IncidentDate BETWEEN DATE_SUB(CURRE... | gretelai_synthetic_text_to_sql |
CREATE TABLE crypto_transactions (transaction_id INT, digital_asset VARCHAR(20), transaction_amount DECIMAL(10,2), transaction_time DATETIME); | What is the total transaction amount for each digital asset in the 'crypto_transactions' table, ordered by the total transaction amount in descending order? | SELECT digital_asset, SUM(transaction_amount) as total_transaction_amount FROM crypto_transactions GROUP BY digital_asset ORDER BY total_transaction_amount DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_finance (id INT PRIMARY KEY, source VARCHAR(255), recipient VARCHAR(255), amount FLOAT, date DATE); | Insert a new climate finance record for the African Development Bank providing 8 million dollars to South Africa in 2022. | INSERT INTO climate_finance (id, source, recipient, amount, date) VALUES (1, 'African Development Bank', 'South Africa', 8000000, '2022-01-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE departments (id INT, name VARCHAR(255), head_count INT); INSERT INTO departments (id, name, head_count) VALUES (1, 'Engineering', 250), (2, 'Marketing', 180), (3, 'Sales', 120); CREATE TABLE employees (id INT, name VARCHAR(255), gender VARCHAR(10), department_id INT); INSERT INTO employees (id, name, gende... | Find the number of male and female employees in each department | SELECT department_id AS id, gender, COUNT(*) as head_count FROM employees GROUP BY department_id, gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE RecyclingRates (country VARCHAR(50), year INT, paper_recycling_rate FLOAT); | What is the minimum recycling rate for paper waste in Brazil and Argentina? | SELECT MIN(paper_recycling_rate) FROM RecyclingRates WHERE country IN ('Brazil', 'Argentina'); | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft (craft_name VARCHAR(50), manufacturer VARCHAR(50), first_flight DATE, mass_kg FLOAT, manufacturer_location VARCHAR(50)); | What is the average mass of spacecraft manufactured by companies based in Asia? | SELECT AVG(mass_kg) AS avg_mass FROM spacecraft WHERE manufacturer_location LIKE '%Asia%'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists funding; USE funding; CREATE TABLE if not exists research_funding (id INT, project_id INT, year INT, funding DECIMAL(10, 2)); INSERT INTO research_funding (id, project_id, year, funding) VALUES (1, 1, 2021, 5000000.00), (2, 2, 2020, 3000000.00), (3, 3, 2021, 6000000.00), (4, 4, 2020, 4000000... | What is the total funding for genetic research projects in 2021? | SELECT SUM(funding) FROM funding.research_funding WHERE year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE monitoring_stations (station_id INT, station_name VARCHAR(50), country VARCHAR(50), operational_cost FLOAT); INSERT INTO monitoring_stations (station_id, station_name, country, operational_cost) VALUES (1, 'Station A', 'Australia', 50000.0), (2, 'Station B', 'New Zealand', 60000.0), (3, 'Station C', 'Austr... | What is the average operational cost of monitoring stations in the 'monitoring_stations' table, grouped by country? | SELECT country, AVG(operational_cost) FROM monitoring_stations GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT PRIMARY KEY, name VARCHAR(50), location VARCHAR(50), budget FLOAT); INSERT INTO projects (id, name, location, budget) VALUES (1, 'Solar Farm Construction', 'Brazil', 900000.00); INSERT INTO projects (id, name, location, budget) VALUES (2, 'Wind Turbine Installation', 'Canada', 750000.00); | What are the names and locations of projects with a budget greater than 800000.00 and less than 1000000.00? | SELECT projects.name, projects.location, projects.budget FROM projects WHERE projects.budget > 800000.00 AND projects.budget < 1000000.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (id INT, name VARCHAR(255), location VARCHAR(255), production_quantity INT); INSERT INTO wells (id, name, location, production_quantity) VALUES (1, 'Well A', 'North Sea', 1000), (2, 'Well B', 'Gulf of Mexico', 2000), (3, 'Well C', 'North Sea', 1500); | What is the minimum production quantity for wells located in the 'Gulf of Mexico'? | SELECT MIN(production_quantity) FROM wells WHERE location = 'Gulf of Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE daily_security_incidents (id INT, sector VARCHAR(255), incident_date DATE); INSERT INTO daily_security_incidents (id, sector, incident_date) VALUES (1, 'technology', '2021-01-01'); | What is the maximum number of security incidents that occurred in a single day in the technology sector in the last quarter? | SELECT MAX(counts) FROM (SELECT COUNT(*) AS counts FROM daily_security_incidents WHERE sector = 'technology' AND incident_date >= DATE_SUB(CURDATE(), INTERVAL 3 MONTH) GROUP BY incident_date) AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE health_centers (id INT, name TEXT, location TEXT, capacity INT); INSERT INTO health_centers (id, name, location, capacity) VALUES (1, 'Health Center A', 'Rural Palau', 50); INSERT INTO health_centers (id, name, location, capacity) VALUES (7, 'Health Center H', 'Rural Palau', 60); | What is the capacity of rural health centers in Palau? | SELECT capacity FROM health_centers WHERE location = 'Rural Palau'; | gretelai_synthetic_text_to_sql |
CREATE TABLE graduate_students (id INT, name VARCHAR(50), department VARCHAR(50)); INSERT INTO graduate_students (id, name, department) VALUES (1, 'Charlie', 'Computer Science'); INSERT INTO graduate_students (id, name, department) VALUES (2, 'Dana', 'Electrical Engineering'); CREATE TABLE publications (id INT, graduat... | Count the number of publications by graduate students in the Computer Science department with more than 1000 citations. | SELECT COUNT(*) FROM publications p JOIN graduate_students gs ON p.graduate_student_id = gs.id WHERE gs.department = 'Computer Science' AND p.citations > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE deliveries (delivery_id INT, delivery_date DATE, warehouse_id INT); INSERT INTO deliveries (delivery_id, delivery_date, warehouse_id) VALUES (1, '2021-11-01', 3), (2, '2021-11-03', 3), (3, '2021-11-05', 1); | What is the earliest delivery date for shipments from warehouse 3? | SELECT MIN(delivery_date) FROM deliveries WHERE warehouse_id = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE daily_sales (menu_item VARCHAR(255), sales DECIMAL(10,2), date DATE); INSERT INTO daily_sales (menu_item, sales, date) VALUES ('Bruschetta', 200.00, '2022-01-01'), ('Spaghetti Bolognese', 350.00, '2022-01-01'), ('Cheesecake', 150.00, '2022-01-01'); | What is the average daily sales for each menu item? | SELECT menu_item, AVG(sales) FROM daily_sales GROUP BY menu_item; | gretelai_synthetic_text_to_sql |
CREATE TABLE excavation_sites (id INT, site_name VARCHAR(50), num_artifacts INT, total_funding DECIMAL(10,2)); | How many artifacts were excavated in total, per site? | SELECT site_name, SUM(num_artifacts) as total_artifacts FROM excavation_sites GROUP BY site_name | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryTech (id INT PRIMARY KEY, name VARCHAR(255), description TEXT, year_developed INT, developer_country VARCHAR(255)); INSERT INTO MilitaryTech (id, name, description, year_developed, developer_country) VALUES (1, 'F-15', '...', 1976, 'USA'); | Identify military technologies developed before 1990 and their developers | SELECT m.name, m.year_developed, m.developer_country, c.country_name FROM MilitaryTech m INNER JOIN Country c ON m.developer_country = c.country_code WHERE m.year_developed < 1990; | gretelai_synthetic_text_to_sql |
CREATE TABLE organization (org_id INT PRIMARY KEY, org_name VARCHAR(255), country VARCHAR(50)); CREATE TABLE model (model_id INT PRIMARY KEY, org_id INT, safety_score INT); INSERT INTO organization (org_id, org_name, country) VALUES (1, 'OrgA', 'USA'), (2, 'OrgB', 'Canada'), (3, 'OrgC', 'Mexico'), (4, 'OrgD', 'Brazil')... | Find the number of models developed and average safety score for each country? | SELECT o.country, COUNT(m.model_id) as num_models, AVG(m.safety_score) as avg_safety_score FROM organization o JOIN model m ON o.org_id = m.org_id GROUP BY o.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE movie_budgets (title VARCHAR(255), genre VARCHAR(50), budget DECIMAL(10,2)); INSERT INTO movie_budgets (title, genre, budget) VALUES ('Movie7', 'Horror', 2000000.00), ('Movie8', 'Sci-Fi', 3000000.00), ('Movie9', 'Horror', 2500000.00); | What is the total production budget for horror and sci-fi movies? | SELECT SUM(budget) as total_budget FROM movie_budgets WHERE genre IN ('Horror', 'Sci-Fi'); | gretelai_synthetic_text_to_sql |
CREATE TABLE auto_show_information (show_id INT, show_name VARCHAR(50), show_date DATE, show_location VARCHAR(50)); | Update the date of an existing auto show record in the auto_show_information table. | UPDATE auto_show_information SET show_date = '2023-04-15' WHERE show_id = 456; | gretelai_synthetic_text_to_sql |
CREATE TABLE teacher_certifications (teacher_id INT, certification_name VARCHAR(50)); | Update the 'teacher_certifications' table to add a new certification for a teacher with 'teacher_id' 123. | UPDATE teacher_certifications SET certification_name = 'New Certification' WHERE teacher_id = 123; | gretelai_synthetic_text_to_sql |
CREATE TABLE initiatives (id INT, name VARCHAR(255), launch_date DATE, type VARCHAR(255)); INSERT INTO initiatives (id, name, launch_date, type) VALUES (1, 'Project A', '2020-01-01', 'Social Good'), (2, 'Project B', '2019-12-01', 'Social Good'), (3, 'Project C', '2021-03-15', 'Social Good'), (4, 'Project D', '2020-06-2... | How many technology initiatives were launched in the year 2020 that are related to social good? | SELECT COUNT(*) FROM initiatives WHERE EXTRACT(YEAR FROM launch_date) = 2020 AND type = 'Social Good'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Garments(id INT, store VARCHAR(20), retail_price DECIMAL(5,2)); INSERT INTO Garments(id, store, retail_price) VALUES (1, 'Sustainable_Outlet', 120.00), (2, 'Sustainable_Outlet', 75.00), (3, 'Eco_Friendly', 50.00); | Update the retail price of garments in the 'Sustainable_Outlet' store to 10% lower than the current price. | UPDATE Garments SET retail_price = retail_price * 0.9 WHERE store = 'Sustainable_Outlet'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ethics_violations (id INT, violation VARCHAR(50), continent VARCHAR(50), date DATE); INSERT INTO ethics_violations (id, violation, continent, date) VALUES (1, 'Plagiarism', 'Africa', '2022-01-01'); INSERT INTO ethics_violations (id, violation, continent, date) VALUES (2, 'Libel', 'Asia', '2022-01-02'); | What is the total number of media ethics violations in Africa and Asia? | SELECT continent, COUNT(*) FROM ethics_violations WHERE continent IN ('Africa', 'Asia') GROUP BY continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (element VARCHAR(10), country VARCHAR(20), quantity INT, year INT); INSERT INTO production (element, country, quantity, year) VALUES ('Gadolinium', 'Canada', 2500, 2016), ('Gadolinium', 'Canada', 2700, 2017), ('Gadolinium', 'Canada', 2900, 2018), ('Gadolinium', 'Canada', 3100, 2019), ('Gadoliniu... | What is the average quantity of 'Gadolinium' produced annually by 'Canada' and 'India'? | SELECT AVG(quantity) FROM production WHERE (element = 'Gadolinium' AND country = 'Canada') OR (element = 'Gadolinium' AND country = 'India') GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_interactions (user_id INT, interaction_type VARCHAR(50), user_age INT, user_gender VARCHAR(50), user_location VARCHAR(50)); INSERT INTO user_interactions (user_id, interaction_type, user_age, user_gender, user_location) VALUES (1, 'engaged_content', 30, 'female', 'London'), (2, 'clicked_ad', 25, 'male... | Determine the age, gender, and location of users who have engaged with content about climate change but have not clicked on any ads about fast fashion. | SELECT user_age, user_gender, user_location FROM user_interactions WHERE interaction_type = 'engaged_content' AND user_id NOT IN (SELECT user_id FROM user_interactions WHERE interaction_type = 'clicked_ad' AND clicked_ads = 'fast fashion'); | gretelai_synthetic_text_to_sql |
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