context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE Artworks (id INT, artist VARCHAR(20), title VARCHAR(50), year INT, type VARCHAR(20)); INSERT INTO Artworks (id, artist, title, year, type) VALUES (1, 'Asian Artist 1', 'Artwork 1', 2000, 'Painting'); INSERT INTO Artworks (id, artist, title, year, type) VALUES (2, 'Asian Artist 2', 'Artwork 2', 2005, 'Sculp... | How many artworks were created each year by Asian artists? | SELECT year, COUNT(*) AS artworks_per_year FROM Artworks WHERE artist LIKE 'Asian Artist%' GROUP BY year ORDER BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE residential (customer_id INT, water_usage FLOAT, usage_date DATE); INSERT INTO residential (customer_id, water_usage, usage_date) VALUES (1, 150.5, '2022-03-01'), (2, 250.7, '2022-03-02'), (3, 350.8, '2022-03-03'); | Find the maximum water usage by residential customers in the month of March 2022. | SELECT MAX(water_usage) FROM residential WHERE usage_date BETWEEN '2022-03-01' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE workplaces (id INT, country VARCHAR(50), num_employees INT, has_cba BOOLEAN); INSERT INTO workplaces (id, country, num_employees, has_cba) VALUES (1, 'Canada', 200, true), (2, 'USA', 300, false); | What is the total number of workplaces with successful collective bargaining agreements in Canada in 2020? | SELECT COUNT(*) FROM workplaces WHERE country = 'Canada' AND has_cba = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_sites (id INT, site_name VARCHAR(50), location VARCHAR(50), environmental_score FLOAT); INSERT INTO mining_sites (id, site_name, location, environmental_score) VALUES (1, 'Site A', 'Australia', 82.50); | List the mining sites in the 'Africa' region with environmental impact scores above 80. | SELECT site_name, environmental_score FROM mining_sites WHERE location LIKE 'Africa' AND environmental_score > 80.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtWorks (ID INT PRIMARY KEY, Title TEXT, Artist TEXT, Year INT); | Update the year of artwork with ID 7 to 1889 | UPDATE ArtWorks SET Year = 1889 WHERE ID = 7; | gretelai_synthetic_text_to_sql |
CREATE TABLE conservation (id INT PRIMARY KEY, artifact_id INT, date DATE, notes TEXT); | Delete all records from the 'conservation' table that are older than 2005 | DELETE FROM conservation WHERE date < '2005-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE deliveries (id INT, shipment_id INT, delivery_date DATE, delivery_time_days INT); INSERT INTO deliveries (id, shipment_id, delivery_date, delivery_time_days) VALUES (1, 1, '2021-04-01', 5); INSERT INTO deliveries (id, shipment_id, delivery_date, delivery_time_days) VALUES (2, 2, '2021-04-03', 7); | What is the minimum delivery time in days for shipments from India to the United Kingdom in April 2021? | SELECT MIN(delivery_time_days) FROM deliveries D INNER JOIN (SELECT id AS shipment_id FROM shipments WHERE origin_country = 'India' AND destination_country = 'United Kingdom' AND EXTRACT(MONTH FROM ship_date) = 4 AND EXTRACT(YEAR FROM ship_date) = 2021) AS S ON D.shipment_id = S.shipment_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE VehicleSales (id INT, vehicle_type VARCHAR(255), sale_date DATE, units_sold INT); INSERT INTO VehicleSales (id, vehicle_type, sale_date, units_sold) VALUES (1, 'Gasoline', '2017-01-01', 500); INSERT INTO VehicleSales (id, vehicle_type, sale_date, units_sold) VALUES (2, 'Electric', '2020-01-01', 800); | How many electric vehicles have been sold in California since 2018? | SELECT SUM(units_sold) FROM VehicleSales WHERE vehicle_type = 'Electric' AND sale_date >= '2018-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Digital_Engagement (id INT, city VARCHAR(20), num_visitors INT); INSERT INTO Digital_Engagement (id, city, num_visitors) VALUES (1, 'Tokyo', 1500), (2, 'Tokyo', 2000), (3, 'New York', 3000); | How many visitors engaged with digital installations in Tokyo and New York?' | SELECT SUM(num_visitors) FROM Digital_Engagement WHERE city IN ('Tokyo', 'New York'); | gretelai_synthetic_text_to_sql |
CREATE TABLE charging_stations (id INT, state TEXT, station_type TEXT, total_stations INT); INSERT INTO charging_stations (id, state, station_type, total_stations) VALUES (1, 'California', 'Fast', 50), (2, 'Texas', 'Standard', 40), (3, 'California', 'Standard', 60); | How many charging stations are there in 'California' and 'Texas' in the charging_stations table? | SELECT state, COUNT(*) as total_charging_stations FROM charging_stations WHERE state IN ('California', 'Texas') GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE Strains (strain_id INT, strain_name TEXT, state TEXT, sales_quantity INT); INSERT INTO Strains (strain_id, strain_name, state, sales_quantity) VALUES (1, 'Blue Dream', 'California', 500), (2, 'Girl Scout Cookies', 'California', 400), (3, 'Durban Poison', 'California', 300), (4, 'OG Kush', 'California', 250... | What are the top 5 strains sold in dispensaries in California, ordered by sales quantity? | SELECT strain_name, SUM(sales_quantity) as total_sales FROM Strains WHERE state = 'California' GROUP BY strain_name ORDER BY total_sales DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Protected_Habitats (id INT, animal_type VARCHAR(50), size INT); | What is the maximum size of a protected habitat for each animal type? | SELECT animal_type, MAX(size) FROM Protected_Habitats GROUP BY animal_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE material_costs (id INT, material_type VARCHAR(255), project_type VARCHAR(255), cost FLOAT); INSERT INTO material_costs (id, material_type, project_type, cost) VALUES (1, 'Steel', 'Bridge', 150000.00), (2, 'Asphalt', 'Road', 50000.00), (3, 'Concrete', 'Building', 200000.00), (4, 'Steel', 'Building', 300000.... | What is the total cost of concrete and steel materials used in public works projects? | SELECT SUM(cost) as total_cost FROM material_costs WHERE material_type IN ('Concrete', 'Steel'); | gretelai_synthetic_text_to_sql |
CREATE TABLE patients_no_improvement (patient_id INT, age INT, improvement CHAR(1)); INSERT INTO patients_no_improvement (patient_id, age, improvement) VALUES (1, 30, 'N'), (2, 25, 'N'), (3, 45, 'N'); | What is the average age of patients who did not improve after therapy sessions? | SELECT AVG(age) as avg_age_no_improvement FROM patients_no_improvement WHERE improvement = 'N'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Parks (Year INT, Action TEXT); INSERT INTO Parks (Year, Action) VALUES (2018, 'Renovated'), (2019, 'Renovated'), (2020, 'Renovated'), (2021, 'Renovated'); | How many public parks were renovated each year from 2018 to 2021? | SELECT Year, COUNT(*) FROM Parks WHERE Action = 'Renovated' GROUP BY Year; | gretelai_synthetic_text_to_sql |
CREATE TABLE shark_species (species_name TEXT, population INTEGER, ocean TEXT); | What is the average population of all shark species in the Atlantic Ocean? | SELECT AVG(population) FROM shark_species WHERE ocean = 'Atlantic Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE srl_institutions (id INT PRIMARY KEY, institution_name VARCHAR(100), country VARCHAR(50)); INSERT INTO srl_institutions (id, institution_name, country) VALUES (1, 'Institution A', 'Country X'), (2, 'Institution B', 'Country Y'), (3, 'Institution C', 'Country Z'); | Identify the number of socially responsible lending institutions in Country Y | SELECT COUNT(*) FROM srl_institutions WHERE country = 'Country Y'; | gretelai_synthetic_text_to_sql |
CREATE TABLE refugees (id INT, organization VARCHAR(255), location VARCHAR(255), assist_date DATE, gender VARCHAR(10), age INT); INSERT INTO refugees (id, organization, location, assist_date, gender, age) VALUES (1, 'UNHCR', 'Asia', '2019-02-12', 'Female', 34), (2, 'Red Cross', 'Asia', '2019-04-01', 'Male', 27), (3, 'S... | What is the total number of refugees assisted by each organization in Asia in 2019? | SELECT organization, COUNT(*) as total_refugees FROM refugees WHERE location = 'Asia' AND YEAR(assist_date) = 2019 GROUP BY organization; | gretelai_synthetic_text_to_sql |
CREATE TABLE news_articles (id INT, title VARCHAR(100), publication_date DATE, author VARCHAR(50), word_count INT, gender VARCHAR(10), region VARCHAR(50)); INSERT INTO news_articles (id, title, publication_date, author, word_count, gender, region) VALUES (1, 'Article 1', '2022-01-01', 'John Doe', 500, 'Male', 'North Am... | What is the average word count of articles by gender and region in 'news_articles' table? | SELECT gender, region, AVG(word_count) as avg_word_count FROM news_articles GROUP BY gender, region; | gretelai_synthetic_text_to_sql |
CREATE TABLE excavation_sites (site_id INT, site_name VARCHAR(50), country VARCHAR(50)); INSERT INTO excavation_sites (site_id, site_name, country) VALUES (1, 'Site A', 'Egypt'); CREATE TABLE artifacts (artifact_id INT, site_id INT, category VARCHAR(50)); | Which artifact categories were most frequently excavated in Egypt? | SELECT a.category, COUNT(*) as frequency FROM excavation_sites e JOIN artifacts a ON e.site_id = a.site_id WHERE e.country = 'Egypt' GROUP BY a.category ORDER BY frequency DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity_metrics (id INT PRIMARY KEY, startup_id INT, gender VARCHAR(10), underrepresented_group BOOLEAN); | Calculate the number of diversity metrics recorded | SELECT COUNT(*) FROM diversity_metrics; | gretelai_synthetic_text_to_sql |
CREATE TABLE Satellites (satellite_id INT, name VARCHAR(50), launch_date DATE, manufacturer VARCHAR(50)); INSERT INTO Satellites (satellite_id, name, launch_date, manufacturer) VALUES (1, 'Sat1', '2020-01-01', 'SpaceTech Inc.'), (2, 'Sat2', '2019-05-15', 'Orbital Inc.'), (3, 'Sat3', '2021-03-27', 'SpaceTech Inc.'), (4,... | Which satellites were deployed by both SpaceTech Inc. and Orbital Inc.? | SELECT name FROM Satellites WHERE manufacturer IN ('SpaceTech Inc.', 'Orbital Inc.') GROUP BY name HAVING COUNT(DISTINCT manufacturer) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), sustainable_practices BOOLEAN); CREATE TABLE products (id INT PRIMARY KEY, name VARCHAR(255), supplier_id INT, FOREIGN KEY (supplier_id) REFERENCES suppliers(id)); CREATE TABLE sales (id INT PRIMARY KEY, product_id INT, quantity INT, ... | List all suppliers, products, and sales quantities for suppliers based in 'India' that use sustainable practices. | SELECT s.name AS supplier_name, p.name AS product_name, sales.quantity FROM sales JOIN products ON sales.product_id = products.id JOIN suppliers ON products.supplier_id = suppliers.id WHERE suppliers.location = 'India' AND suppliers.sustainable_practices = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Budget (Id INT, Category VARCHAR(50), Amount DECIMAL(10, 2), Year INT); INSERT INTO Budget (Id, Category, Amount, Year) VALUES (1, 'Policy Advocacy', 50000, 2022); | What is the total budget allocated to policy advocacy efforts in 2022? | SELECT SUM(Amount) FROM Budget WHERE Category = 'Policy Advocacy' AND Year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vulnerabilities (id INT, report_date DATE, severity INT); INSERT INTO Vulnerabilities (id, report_date, severity) VALUES (1, '2022-04-01', 3), (2, '2022-04-15', 5), (3, '2022-05-01', 7); | What is the total number of high severity vulnerabilities found in the last month? | SELECT COUNT(*) FROM Vulnerabilities WHERE severity >= 5 AND report_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE Beneficiaries (id INT, name VARCHAR(50), gender VARCHAR(50), age INT, country VARCHAR(50), registration_date DATE); INSERT INTO Beneficiaries (id, name, gender, age, country, registration_date) VALUES (1, 'Ahmed', 'Male', 25, 'Egypt', '2020-12-12'), (2, 'Bella', 'Female', 35, 'Nigeria', '2021-01-01'), (3, ... | How many male and female beneficiaries are there in each country? | SELECT country, gender, COUNT(*) as count FROM Beneficiaries GROUP BY country, gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE network_towers (tower_id INT, city VARCHAR(50), connected_devices INT); INSERT INTO network_towers VALUES (1, 'CityA', 50), (2, 'CityB', 60), (3, 'CityC', 70); | Find the top 3 cities with the highest number of connected devices and the total number of connected devices in each city. | SELECT city, SUM(connected_devices) as total_connected_devices FROM (SELECT city, connected_devices, RANK() OVER(PARTITION BY city ORDER BY connected_devices DESC) as rank FROM network_towers) ranked_towers WHERE rank <= 3 GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE art_categories (id INT, category TEXT); INSERT INTO art_categories (id, category) VALUES (1, 'Sculpture'), (2, 'Painting'); CREATE TABLE art_market (id INT, title TEXT, category_id INT, price INT); INSERT INTO art_market (id, title, category_id, price) VALUES (1, 'The Persistence of Memory', 2, 20000000), ... | What are the average prices for sculptures and paintings in the modern art market? | SELECT AVG(price) as avg_price, category FROM art_market am INNER JOIN art_categories ac ON am.category_id = ac.id WHERE ac.category IN ('Sculpture', 'Painting') GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Factories (FactoryID int, FactoryName varchar(50), Address varchar(100), Country varchar(50)); INSERT INTO Factories VALUES (1, 'Factory1', '123 Main St, China', 'China'); INSERT INTO Factories VALUES (2, 'Factory2', '456 Oak St, Germany', 'Germany'); INSERT INTO Factories VALUES (3, 'Factory3', '789 Elm S... | What is the average price of items manufactured by factories in 'Asia' and 'Europe'? | SELECT AVG(Products.Price) FROM Products INNER JOIN Factories ON Products.FactoryID = Factories.FactoryID WHERE Factories.Country = 'China' OR Factories.Country = 'Germany' OR Factories.Country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, product_id INT, sale_date DATE, revenue INT); INSERT INTO sales (sale_id, product_id, sale_date, revenue) VALUES (1, 1, '2022-01-01', 1000), (2, 2, '2022-01-02', 500), (3, 1, '2022-01-03', 1500); | What is the total revenue for each product category in the current year? | SELECT p.category, SUM(s.revenue) FROM sales s INNER JOIN products p ON s.product_id = p.product_id WHERE YEAR(s.sale_date) = YEAR(GETDATE()) GROUP BY p.category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Water_Conservation_Initiatives (State VARCHAR(20), Year INT, Score INT); INSERT INTO Water_Conservation_Initiatives (State, Year, Score) VALUES ('California', 2020, 85), ('Texas', 2020, 78), ('Florida', 2020, 82); | What are the top 3 states with the highest water conservation initiative scores in 2020? | SELECT State, MAX(Score) FROM Water_Conservation_Initiatives WHERE Year = 2020 GROUP BY State ORDER BY Score DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouse (id INT, name VARCHAR(20), city VARCHAR(20)); INSERT INTO Warehouse (id, name, city) VALUES (1, 'Seattle Warehouse', 'Seattle'), (2, 'NYC Warehouse', 'NYC'), (3, 'Chicago Warehouse', 'Chicago'); CREATE TABLE Packages (id INT, warehouse_id INT, status VARCHAR(20)); INSERT INTO Packages (id, wareho... | What is the count of packages in 'received' status at each warehouse? | SELECT warehouse_id, COUNT(*) FROM Packages WHERE status = 'received' GROUP BY warehouse_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE equipment_sales (eq_id INT, eq_type VARCHAR(50), sale_amount INT); INSERT INTO equipment_sales (eq_id, eq_type, sale_amount) VALUES (1, 'M1 Abrams', 5000000); | Get unique equipment types sold in 'Africa' with sales data | SELECT DISTINCT eq_type, SUM(sale_amount) AS total_sales_amount FROM equipment_sales es JOIN equipment e ON es.eq_id = e.eq_id WHERE e.region = 'Africa' GROUP BY eq_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID int, DonorID int, DonationDate date, DonationAmount numeric); INSERT INTO Donations (DonationID, DonorID, DonationDate, DonationAmount) VALUES (1, 1, '2022-01-01', 500), (2, 1, '2022-02-01', 300), (3, 2, '2022-03-01', 800), (4, 2, '2022-04-01', 900), (5, 3, '2022-05-01', 700); | How many donations have been made by each donor, in descending order? | SELECT DonorID, COUNT(DonationID) NumDonations, RANK() OVER (ORDER BY COUNT(DonationID) DESC) DonorRank FROM Donations GROUP BY DonorID; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, DonationAmount DECIMAL(10,2), Country TEXT); | What is the maximum donation amount from donors in Mexico? | SELECT MAX(DonationAmount) FROM Donors WHERE Country = 'Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity_metrics3 (metric_id INT, company_id INT, diverse_founder BOOLEAN); INSERT INTO diversity_metrics3 (metric_id, company_id, diverse_founder) VALUES (1, 1, TRUE), (2, 2, FALSE), (3, 3, TRUE), (4, 4, FALSE); CREATE TABLE company_founding2 (company_id INT, founding_year INT); INSERT INTO company_found... | Show startups with no diversity metrics records. | SELECT company_id FROM company_founding2 WHERE company_id NOT IN (SELECT company_id FROM diversity_metrics3); | gretelai_synthetic_text_to_sql |
CREATE TABLE water_quality (farm_id INT, water_type VARCHAR(10), dissolved_oxygen FLOAT); INSERT INTO water_quality VALUES (1, 'Marine', 6.5), (2, 'Marine', 7.0), (3, 'Brackish', 5.5), (4, 'Freshwater', 8.0); | What is the minimum and maximum dissolved oxygen level in marine water farms? | SELECT MIN(dissolved_oxygen) AS 'Minimum Dissolved Oxygen', MAX(dissolved_oxygen) AS 'Maximum Dissolved Oxygen' FROM water_quality WHERE water_type = 'Marine'; | gretelai_synthetic_text_to_sql |
CREATE TABLE flight_safety (id INT, country VARCHAR(255), accident_date DATE, accident_type VARCHAR(255)); | Which countries have the highest and lowest number of flight accidents in the last 5 years? | SELECT country, COUNT(*) as num_accidents FROM flight_safety WHERE accident_date >= DATE_SUB(CURRENT_DATE(), INTERVAL 5 YEAR) GROUP BY country ORDER BY num_accidents DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies (id INT, name VARCHAR(50), industry VARCHAR(50), country VARCHAR(50), founding_year INT, founder_veteran VARCHAR(10)); CREATE TABLE Funding (id INT, company_name VARCHAR(50), funding_amount INT); INSERT INTO Companies (id, name, industry, country, founding_year, founder_veteran) VALUES (1, 'PayVe... | What is the total funding amount for companies founded by veterans in the Fintech industry? | SELECT SUM(funding_amount) as total_funding FROM Funding INNER JOIN Companies ON Funding.company_name = Companies.name WHERE Companies.industry = 'Fintech' AND Companies.founder_veteran = 'Yes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mines (id INT, name TEXT, location TEXT, annual_production INT); INSERT INTO mines (id, name, location, annual_production) VALUES (1, 'Mine A', 'Country X', 1500), (2, 'Mine B', 'Country Y', 2000), (3, 'Mine C', 'Country Z', 1750); | What was the average REE production per mine in 2018? | SELECT AVG(annual_production) as avg_production FROM mines WHERE YEAR(timestamp) = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE AgentClaims (ClaimID INT, PolicyID INT, ClaimAmount DECIMAL(10, 2), ClaimDate DATE, AgentID INT); INSERT INTO AgentClaims VALUES (1, 1, 500, '2021-01-05', 1), (2, 2, 1000, '2022-02-10', 2), (3, 3, 750, '2021-03-15', 1), (4, 4, 1200, '2022-01-25', 2), (5, 5, 300, '2021-02-01', 3), (6, 6, 1500, '2022-03-01',... | What is the number of policies and total claim amount by agent and month? | SELECT a.AgentID, EXTRACT(MONTH FROM ac.ClaimDate) AS Month, COUNT(DISTINCT ac.PolicyID) AS Policies, SUM(ac.ClaimAmount) AS TotalClaimAmount FROM AgentClaims AS ac JOIN AgentSales AS asa ON ac.PolicyID = asa.PolicyID JOIN Agents AS a ON asa.AgentID = a.AgentID GROUP BY a.AgentID, Month; | gretelai_synthetic_text_to_sql |
CREATE TABLE co2_emissions_reduction (initiative_id INT, initiative_name VARCHAR(50), region VARCHAR(50), year_started INT, co2_emissions_reduction DECIMAL(5, 2)); INSERT INTO co2_emissions_reduction (initiative_id, initiative_name, region, year_started, co2_emissions_reduction) VALUES (1, 'Green Energy Transition', 'S... | What is the average annual CO2 emissions reduction achieved by climate mitigation initiatives in Southeast Asia? | SELECT AVG(co2_emissions_reduction) FROM co2_emissions_reduction WHERE region = 'Southeast Asia'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech; CREATE TABLE if not exists biotech.startups (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), funding FLOAT); | Add a new biotech startup in the USA | INSERT INTO biotech.startups (id, name, location, funding) VALUES (4, 'StartupD', 'USA', 8000000); | gretelai_synthetic_text_to_sql |
CREATE TABLE customer_transactions (transaction_id INT, customer_id INT, transaction_value DECIMAL(10, 2), transaction_date DATE, customer_region VARCHAR(20)); INSERT INTO customer_transactions (transaction_id, customer_id, transaction_value, transaction_date, customer_region) VALUES (1, 1, 20000, '2021-08-01', 'Latin ... | List all transactions with a value greater than $15,000, along with the customer ID and the transaction date, in descending order of transaction date for customers in Latin America? | SELECT * FROM customer_transactions WHERE transaction_value > 15000 AND customer_region = 'Latin America' ORDER BY transaction_date DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE CYBER_STRATEGIES (id INT PRIMARY KEY, country VARCHAR(255), strategy VARCHAR(255), year INT); | Which cybersecurity strategies were implemented in 'Country2' in the CYBER_STRATEGIES table? | SELECT strategy FROM CYBER_STRATEGIES WHERE country = 'Country2' AND year = (SELECT MAX(year) FROM CYBER_STRATEGIES WHERE country = 'Country2'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_facilities (facility_id INT, name VARCHAR(50), type VARCHAR(50), state VARCHAR(50)); INSERT INTO mental_health_facilities (facility_id, name, type, state) VALUES (1, 'Example Facility 1', 'Inpatient', 'California'); INSERT INTO mental_health_facilities (facility_id, name, type, state) VALUES ... | How many mental health facilities of each type are there in the mental_health_facilities table? | SELECT type, COUNT(*) FROM mental_health_facilities GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, state VARCHAR(50), month VARCHAR(50), revenue FLOAT); INSERT INTO sales (id, state, month, revenue) VALUES (1, 'New York', 'July', 50000.0), (2, 'New York', 'August', 60000.0), (3, 'New York', 'September', 70000.0); | What was the total revenue for the state of New York in the third quarter of 2022? | SELECT SUM(revenue) FROM sales WHERE state = 'New York' AND (month = 'July' OR month = 'August' OR month = 'September'); | gretelai_synthetic_text_to_sql |
CREATE TABLE emergency_responses (id INT, incident_id INT, response_time INT); CREATE TABLE emergency_incidents (id INT, incident_type VARCHAR(255), report_date DATE); INSERT INTO emergency_incidents (id, incident_type, report_date) VALUES (1, 'Medical Emergency', '2022-01-01'), (2, 'Fire', '2022-01-02'); INSERT INTO e... | What is the average response time for emergency incidents in the city of Los Angeles, categorized by incident type? | SELECT incident_type, AVG(response_time) FROM emergency_responses JOIN emergency_incidents ON emergency_responses.incident_id = emergency_incidents.id GROUP BY incident_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE cosmetics_sales (product_id INT, product_name VARCHAR(255), units_sold INT, revenue DECIMAL(10,2), sale_date DATE); | Delete records from the 'cosmetics_sales' table where the 'units_sold' is less than 10 | DELETE FROM cosmetics_sales WHERE units_sold < 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE Tech_Projects (ID INT, Project_Name VARCHAR(100), Location VARCHAR(50), Budget DECIMAL(10,2)); INSERT INTO Tech_Projects (ID, Project_Name, Location, Budget) VALUES (1, 'Tech4All', 'Europe', 150000.00), (2, 'AI4Good', 'Asia', 200000.00), (3, 'EqualWeb', 'Europe', 180000.00); | What is the maximum budget for technology projects in Europe? | SELECT MAX(Budget) FROM Tech_Projects WHERE Location = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_farms (farm_id INT, temperature FLOAT, year INT, region VARCHAR(255), PRIMARY KEY (farm_id, temperature, year)); INSERT INTO fish_farms (farm_id, temperature, year, region) VALUES (1, 2.5, 2018, 'Arctic Ocean'), (2, 3.0, 2019, 'Arctic Ocean'), (3, 3.5, 2020, 'Arctic Ocean'); | What is the number of fish farms in the Arctic Ocean that have been impacted by climate change since 2018? | SELECT COUNT(*) FROM fish_farms WHERE temperature > (SELECT AVG(temperature) FROM fish_farms WHERE year < 2018 AND region = 'Arctic Ocean') AND region = 'Arctic Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (mission_id INT, mission_name VARCHAR(255), launch_country VARCHAR(50), launch_date DATE); INSERT INTO space_missions (mission_id, mission_name, launch_country, launch_date) VALUES (1, 'Apollo 11', 'USA', '1969-07-16'), (2, 'Sputnik 1', 'Russia', '1957-10-04'); | What is the earliest launch date for each country that has launched a space mission? | SELECT launch_country, MIN(launch_date) FROM space_missions GROUP BY launch_country; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtistConcertCount (ArtistID INT, AppearanceCount INT); | Which artist has the highest number of concert appearances in 2021? | SELECT A.Name, ACC.AppearanceCount FROM ArtistConcertCount ACC INNER JOIN Artists A ON ACC.ArtistID = A.ArtistID WHERE YEAR(C.Date) = 2021 GROUP BY A.Name ORDER BY ACC.AppearanceCount DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_transportation_routes (route_id INT, route_name TEXT, stop_sequence INT, stop_id INT, city TEXT, country TEXT); | Update the public transportation route with ID 402 to include a new stop | UPDATE public_transportation_routes SET stop_id = 803 WHERE route_id = 402 AND stop_sequence = 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity_metrics (id INT, gender VARCHAR(10), race VARCHAR(30), department VARCHAR(50), total_count INT, hiring_rate DECIMAL(5,2)); | Add a new diversity metric record into the "diversity_metrics" table | INSERT INTO diversity_metrics (id, gender, race, department, total_count, hiring_rate) VALUES (2001, 'Female', 'Hispanic', 'Marketing', 3, 0.75); | gretelai_synthetic_text_to_sql |
CREATE TABLE threats (threat_type VARCHAR(255), organization VARCHAR(255), date DATE); INSERT INTO threats (threat_type, organization, date) VALUES ('Phishing', 'Org123', '2022-01-01'), ('Malware', 'Org123', '2022-01-05'), ('Ransomware', 'Org123', '2022-01-10'), ('Phishing', 'Org123', '2022-02-01'), ('Phishing', 'Org12... | Identify the top 3 most common types of threats and their frequency in the last 3 months, for a specific organization 'Org123'? | SELECT threat_type, COUNT(threat_type) as frequency FROM threats WHERE organization = 'Org123' AND date >= DATEADD(month, -3, GETDATE()) GROUP BY threat_type ORDER BY frequency DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Advocacy (AdvocacyID INT, InitiativeName VARCHAR(50), LaunchDate DATE); INSERT INTO Advocacy (AdvocacyID, InitiativeName, LaunchDate) VALUES (1, 'Inclusive Education', '2018-05-05'), (2, 'Employment Equity', '2019-08-28'), (3, 'Accessible Transportation', '2018-12-12'), (4, 'Digital Accessibility', '2020-0... | How many policy advocacy initiatives were launched per year? | SELECT EXTRACT(YEAR FROM LaunchDate) as Year, COUNT(*) as InitiativeCount FROM Advocacy GROUP BY Year; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sustainable_Projects (project_id INT, project_name VARCHAR(50), state VARCHAR(2), cost FLOAT); INSERT INTO Sustainable_Projects VALUES (1, 'Greenville Library', 'TX', 5000000); | What is the total cost of sustainable building projects in Texas? | SELECT SUM(cost) FROM Sustainable_Projects WHERE state = 'TX'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (id INT, name TEXT); INSERT INTO Artists (id, name) VALUES (1, 'Pablo Picasso'); CREATE TABLE Artwork (id INT, title TEXT, artist_id INT); INSERT INTO Artwork (id, title, artist_id) VALUES (1, 'Guernica', 1), (2, 'Three Musicians', 1); | Delete paintings from artist 'Pablo Picasso' in 'Artwork' table. | DELETE FROM Artwork WHERE artist_id = (SELECT id FROM Artists WHERE name = 'Pablo Picasso'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, Region TEXT, DonationAmount DECIMAL(10,2)); INSERT INTO Donors VALUES (1, 'John Smith', 'Asia-Pacific', 500.00), (2, 'Jane Doe', 'Americas', 300.00), (3, 'Mary Major', 'Asia-Pacific', 750.00); | What is the average donation amount per donor in the Asia-Pacific region, excluding the top 10 donors? | SELECT AVG(DonationAmount) FROM (SELECT DonationAmount, ROW_NUMBER() OVER (PARTITION BY Region ORDER BY DonationAmount DESC) as rn FROM Donors WHERE Region = 'Asia-Pacific') tmp WHERE rn > 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE regulatory_frameworks (framework_id INT PRIMARY KEY, framework_name VARCHAR(50), country VARCHAR(50)); INSERT INTO regulatory_frameworks (framework_id, framework_name, country) VALUES (1, 'Framework1', 'USA'); INSERT INTO regulatory_frameworks (framework_id, framework_name, country) VALUES (2, 'Framework2'... | What are the regulatory frameworks in place for decentralized applications in India? | SELECT framework_name FROM regulatory_frameworks WHERE country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE AircraftManufacturing (aircraft_id INT, model VARCHAR(255), manufacturer VARCHAR(255), manufacturing_date DATE, country VARCHAR(255)); | List all aircraft models manufactured by AeroTech in South America with a manufacturing date on or after 2015-01-01. | SELECT model FROM AircraftManufacturing WHERE manufacturer = 'AeroTech' AND manufacturing_date >= '2015-01-01' AND country = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales_representatives (id INT, name TEXT, region TEXT, sales FLOAT); INSERT INTO sales_representatives (id, name, region, sales) VALUES (1, 'John Doe', 'North', 5000), (2, 'Jane Smith', 'South', 6000), (3, 'Alice Johnson', 'East', 7000), (4, 'Bob Williams', 'West', 8000); | What is the total sales amount for each sales representative, ordered by total sales in descending order? | SELECT name, SUM(sales) as total_sales FROM sales_representatives GROUP BY name ORDER BY total_sales DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Startups (ID INT, Name VARCHAR(50), Funding FLOAT, Year INT, Industry VARCHAR(50)); INSERT INTO Startups (ID, Name, Funding, Year, Industry) VALUES (1, 'GreenGenes', 5000000, 2020, 'Genetic Research'); INSERT INTO Startups (ID, Name, Funding, Year, Industry) VALUES (2, 'BioSense', 3000000, 2019, 'Biosensor... | What is the total funding received by bioprocess engineering startups? | SELECT Industry, SUM(Funding) FROM Startups WHERE Industry = 'Bioprocess Engineering' GROUP BY Industry; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_policing (id INT, event_date DATE, event_type VARCHAR(255)); INSERT INTO community_policing (id, event_date, event_type) VALUES (1, '2020-01-01', 'Meeting'), (2, '2021-01-01', 'Training'); | Delete community_policing records older than 2 years | DELETE FROM community_policing WHERE event_date < (CURRENT_DATE - INTERVAL '2 years'); | gretelai_synthetic_text_to_sql |
CREATE TABLE neighborhoods (neighborhood VARCHAR(255), city VARCHAR(255), housing_affordability_index FLOAT); | Identify the top 5 neighborhoods with the highest average housing affordability index and their corresponding city. | SELECT neighborhood, city, AVG(housing_affordability_index) as avg_affordability_index FROM neighborhoods GROUP BY neighborhood, city ORDER BY avg_affordability_index DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE HeritageSites (id INT PRIMARY KEY, name VARCHAR(255), visitors INT, complaints INT); INSERT INTO HeritageSites (id, name, visitors, complaints) VALUES (1, 'Site A', 1000, 5), (2, 'Site B', 1500, 3); | Update the number of complaints for 'Site A' to 6 in the HeritageSites table. | UPDATE HeritageSites SET complaints = 6 WHERE name = 'Site A'; | gretelai_synthetic_text_to_sql |
CREATE TABLE states (id INT, name VARCHAR(255)); INSERT INTO states (id, name) VALUES (1, 'California'); CREATE TABLE wastewater_treatment (id INT, state_id INT, volume FLOAT, treatment_date DATE); INSERT INTO wastewater_treatment (id, state_id, volume, treatment_date) VALUES (1, 1, 1000, '2022-01-01'); | Calculate the total volume of wastewater treated in the state of California, USA in the last quarter | SELECT SUM(wastewater_treatment.volume) as total_volume FROM wastewater_treatment WHERE wastewater_treatment.treatment_date >= (CURRENT_DATE - INTERVAL '3 months')::date AND wastewater_treatment.state_id IN (SELECT id FROM states WHERE name = 'California'); | gretelai_synthetic_text_to_sql |
CREATE TABLE forests (id INT, region VARCHAR(50)); INSERT INTO forests (id, region) VALUES (1, 'Asian'); CREATE TABLE species (id INT, name VARCHAR(50), is_protected BOOLEAN); INSERT INTO species (id, name, is_protected) VALUES (1, 'Tiger', true); | List all protected species in 'Asian' forests. | SELECT species.name FROM species JOIN forests ON FALSE WHERE forests.region = 'Asian' AND species.is_protected = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT, severity VARCHAR(10), open_date DATE, close_date DATE); | What is the trend of open vulnerabilities by severity over the last year? | SELECT severity, COUNT(*) as vulnerability_count, DATEADD(month, DATEDIFF(month, 0, open_date), 0) as month FROM vulnerabilities WHERE close_date IS NULL GROUP BY severity, DATEADD(month, DATEDIFF(month, 0, open_date), 0) ORDER BY month, severity; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_mix (id INT, date DATE, country VARCHAR(20), renewable_percentage DECIMAL(5,2)); INSERT INTO renewable_mix (id, date, country, renewable_percentage) VALUES (3, '2021-01-03', 'Australia', 35.00); INSERT INTO renewable_mix (id, date, country, renewable_percentage) VALUES (4, '2021-01-04', 'Argentin... | What is the renewable energy percentage for Australia on 2021-01-03? | SELECT renewable_percentage FROM renewable_mix WHERE date = '2021-01-03' AND country = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (id INT, game_date DATE, team VARCHAR(20)); CREATE TABLE goals (id INT, game_id INT, player VARCHAR(20), goals INT); | What is the average number of goals scored per game by each soccer player in the last season, broken down by team? | SELECT team, player, AVG(goals) FROM goals JOIN games ON goals.game_id = games.id WHERE games.game_date >= DATE_SUB(CURDATE(), INTERVAL 1 YEAR) GROUP BY team, player; | gretelai_synthetic_text_to_sql |
CREATE TABLE CyberThreats (id INT, country VARCHAR(50), threat_type VARCHAR(50), threat_date DATE); INSERT INTO CyberThreats (id, country, threat_type, threat_date) VALUES (1, 'South Korea', 'Phishing', '2021-01-12'), (2, 'South Korea', 'Ransomware', '2021-03-25'), (3, 'South Korea', 'Malware', '2021-05-08'); | What is the minimum number of cyber threats detected by the military in South Korea in the last 6 months? | SELECT MIN(frequency) FROM (SELECT COUNT(*) AS frequency FROM CyberThreats WHERE country = 'South Korea' AND threat_date >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH) GROUP BY threat_type) AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, date DATE, item VARCHAR(255), revenue DECIMAL(10,2)); INSERT INTO sales (id, date, item, revenue) VALUES (1, '2021-01-01', 'Postcard', 1.50), (2, '2021-02-01', 'Mug', 10.00), (3, '2021-03-01', 'T-shirt', 20.00); | What is the total revenue for museum shop sales by month? | SELECT DATE_FORMAT(date, '%Y-%m') as month, SUM(revenue) as total_revenue FROM sales GROUP BY month ORDER BY STR_TO_DATE(month, '%Y-%m'); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (id INT, name VARCHAR(50), size FLOAT, ocean VARCHAR(20)); INSERT INTO marine_protected_areas (id, name, size, ocean) VALUES (1, 'Northwest Passage', 123000, 'Arctic'); INSERT INTO marine_protected_areas (id, name, size, ocean) VALUES (2, 'Arctic National Wildlife Refuge', 780000, 'A... | Display the number of marine protected areas and their total size in the Arctic region. | SELECT COUNT(*), SUM(size) FROM marine_protected_areas WHERE ocean = 'Arctic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE road_materials (material_id INT, road_id INT, material VARCHAR(50)); CREATE TABLE materials (material_id INT, material_name VARCHAR(50), quantity INT); CREATE TABLE roads (road_id INT, state VARCHAR(50), length INT); | What are the top 3 materials used in road construction in Texas? | SELECT materials.material_name, SUM(materials.quantity) as total_quantity FROM road_materials JOIN materials ON road_materials.material_id = materials.material_id JOIN roads ON road_materials.road_id = roads.road_id WHERE roads.state = 'Texas' GROUP BY materials.material_name ORDER BY total_quantity DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy.solar_power (project_name VARCHAR(30), capacity INT); | What is the minimum and maximum renewable energy capacity (in MW) for solar power projects in the 'renewable_energy' schema? | SELECT MIN(capacity) AS min_capacity, MAX(capacity) AS max_capacity FROM renewable_energy.solar_power; | gretelai_synthetic_text_to_sql |
CREATE TABLE members (id INT, gender VARCHAR(10)); CREATE TABLE workouts (id INT, member_id INT, workout_type VARCHAR(20), workout_date DATE); | Show the top 5 most popular workout types by total number of workouts for female members. | SELECT w.workout_type, COUNT(*) as total_workouts FROM members m INNER JOIN workouts w ON m.id = w.member_id WHERE m.gender = 'female' GROUP BY w.workout_type ORDER BY total_workouts DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE telescopes (id INT, name VARCHAR(255), type VARCHAR(255), agency VARCHAR(255), PRIMARY KEY(id)); INSERT INTO telescopes (id, name, type, agency) VALUES (1, 'Telescope1', 'Optical', 'Agency1'), (2, 'Telescope2', 'Radio', 'Agency2'), (3, 'Telescope3', 'Infrared', 'Agency1'); | What is the total number of telescopes operated by space agencies and their types? | SELECT telescopes.agency, COUNT(telescopes.id), telescopes.type FROM telescopes GROUP BY telescopes.agency, telescopes.type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Properties (id INT, price INT, state TEXT); INSERT INTO Properties (id, price, state) VALUES (1, 500000, 'California'), (2, 400000, 'California'), (3, 700000, 'Colorado'), (4, 600000, 'Texas'); | What is the total number of properties and the average price in the state of California? | SELECT COUNT(*) AS total_properties, AVG(price) AS avg_price FROM Properties WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cannabis_growers (license_number VARCHAR(10), grower_name VARCHAR(50)); | Insert new record into 'cannabis_growers' table with data: license_number: 789B, grower_name: 'EcoCann' | INSERT INTO cannabis_growers (license_number, grower_name) VALUES ('789B', 'EcoCann'); | gretelai_synthetic_text_to_sql |
CREATE TABLE months (month_id INT, month_name VARCHAR(255)); CREATE TABLE products (product_id INT, product_name VARCHAR(255), is_refillable BOOLEAN, sales INT, month_id INT); | What is the total sales of refillable cosmetic products by month? | SELECT m.month_name, SUM(p.sales) as total_sales FROM months m INNER JOIN products p ON m.month_id = p.month_id WHERE p.is_refillable = TRUE GROUP BY m.month_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE WastewaterTreatmentFacilities (FacilityID INT, FacilityName VARCHAR(255), Address VARCHAR(255), City VARCHAR(255), State VARCHAR(255), ZipCode VARCHAR(10)); INSERT INTO WastewaterTreatmentFacilities (FacilityID, FacilityName, Address, City, State, ZipCode) VALUES (1, 'Clear Water Plant', '1234 5th St', 'Ho... | What are the water conservation initiatives implemented in the Greenville Wastewater Treatment Plant in 2022? | SELECT InitiativeName FROM WaterConservationInitiatives WHERE FacilityID = 2 AND StartDate <= '2022-12-31' AND EndDate >= '2022-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Attorneys (AttorneyID int, HourlyRate decimal(5,2), Losses int); INSERT INTO Attorneys (AttorneyID, HourlyRate, Losses) VALUES (1, 300.00, 0), (2, 250.00, 1), (3, 350.00, 0); | What is the maximum hourly rate for attorneys who have never lost a case? | SELECT MAX(HourlyRate) AS MaxHourlyRate FROM Attorneys WHERE Losses = 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farming_Sites (Site_ID INT, Site_Name TEXT, Water_Temperature INT); INSERT INTO Farming_Sites (Site_ID, Site_Name, Water_Temperature) VALUES (1, 'Site A', 20), (2, 'Site B', 30), (3, 'Site C', 25); CREATE TABLE Fish_Stock (Site_ID INT, Fish_Type TEXT, Biomass FLOAT); INSERT INTO Fish_Stock (Site_ID, Fish_T... | What is the list of fish types farmed in sites with water temperature above 25 degrees Celsius? | SELECT Fish_Type FROM Fish_Stock INNER JOIN Farming_Sites ON Fish_Stock.Site_ID = Farming_Sites.Site_ID WHERE Water_Temperature > 25; | gretelai_synthetic_text_to_sql |
CREATE TABLE drugs (drug_id INT, drug_name VARCHAR(255), manufacturer VARCHAR(255)); INSERT INTO drugs (drug_id, drug_name, manufacturer) VALUES (1, 'DrugA', 'Manufacturer1'); CREATE TABLE sales (sale_id INT, drug_id INT, sale_amount DECIMAL(10,2), sale_tax DECIMAL(10,2), country VARCHAR(255)); INSERT INTO sales (sale_... | What are the total sales for each drug, including sales tax, in the Canadian market? | SELECT d.drug_name, SUM(s.sale_amount + s.sale_tax) as total_sales_with_tax FROM drugs d JOIN sales s ON d.drug_id = s.drug_id WHERE s.country = 'Canada' GROUP BY d.drug_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (mission_id INT, mission_country VARCHAR(100), mission_year INT); | How many space missions were attempted by each country? | SELECT mission_country, COUNT(*) FROM space_missions GROUP BY mission_country; | gretelai_synthetic_text_to_sql |
CREATE TABLE PlayerPreferences (PlayerID INT, AgeGroup VARCHAR(10), VRPreference INT); INSERT INTO PlayerPreferences (PlayerID, AgeGroup, VRPreference) VALUES (1, '18-24', 1), (2, '25-34', 0), (3, '18-24', 1), (4, '35-44', 0); | What is the total number of players who prefer VR technology, grouped by age? | SELECT AgeGroup, SUM(VRPreference) FROM PlayerPreferences GROUP BY AgeGroup; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT, sector VARCHAR(20), investment_amount FLOAT) | What is the total investment in 'sustainable_infrastructure' projects? | SELECT SUM(investment_amount) FROM projects WHERE sector = 'sustainable_infrastructure' | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT PRIMARY KEY, title TEXT NOT NULL, author_id INT, published_at DATE); CREATE TABLE authors (id INT PRIMARY KEY, name TEXT NOT NULL); CREATE TABLE views (article_id INT, visitor_id INT); | Show the number of unique visitors for a specific article, including the article's title and author | SELECT articles.title, authors.name, COUNT(DISTINCT views.visitor_id) as unique_visitors FROM articles INNER JOIN authors ON articles.author_id = authors.id INNER JOIN views ON articles.id = views.article_id WHERE articles.id = 'specific_article_id' GROUP BY articles.title, authors.name; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA carbon_pricing; CREATE TABLE carbon_pricing_policies (name TEXT, description TEXT); INSERT INTO carbon_pricing_policies (name, description) VALUES ('Policy A', 'Text A'), ('Policy B', 'Text B'); | How many carbon pricing policies are there in the 'carbon_pricing' schema? | SELECT COUNT(*) FROM carbon_pricing.carbon_pricing_policies; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID INT, EventName TEXT, EventDate DATE, AttendeeAge INT); INSERT INTO Events (EventID, EventName, EventDate, AttendeeAge) VALUES (1, 'Art Exhibition', '2021-06-01', 28), (2, 'Theater Performance', '2021-07-15', 32), (3, 'Music Concert', '2020-12-31', 26); | How many events were attended by people aged 25-34 in the last 6 months? | SELECT COUNT(*) FROM Events WHERE AttendeeAge BETWEEN 25 AND 34 AND EventDate >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE health_equity_metrics (id INT, community_health_worker_id INT, score INT); INSERT INTO health_equity_metrics (id, community_health_worker_id, score) VALUES (1, 1, 80), (2, 2, 90), (3, 3, 95), (4, 4, 70), (5, 6, 65); CREATE TABLE community_health_workers (id INT, name VARCHAR(100), state VARCHAR(50)); INSER... | What is the minimum health equity metric score for community health workers in Florida? | SELECT MIN(score) FROM health_equity_metrics JOIN community_health_workers ON health_equity_metrics.community_health_worker_id = community_health_workers.id WHERE community_health_workers.state = 'Florida'; | gretelai_synthetic_text_to_sql |
CREATE TABLE plants (plant_id INT, plant_name VARCHAR(50), region VARCHAR(50), production_capacity INT); INSERT INTO plants (plant_id, plant_name, region, production_capacity) VALUES (1, 'Plant A', 'Northeast', 500), (2, 'Plant B', 'Midwest', 600); | What is the maximum production capacity for the chemical plants in a specific region? | SELECT plant_name, MAX(production_capacity) FROM plants WHERE region = 'Northeast'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Shipments (id INT, source VARCHAR(50), destination VARCHAR(50), weight FLOAT, ship_date DATE); INSERT INTO Shipments (id, source, destination, weight, ship_date) VALUES (12, 'Nigeria', 'China', 500, '2022-06-01'); INSERT INTO Shipments (id, source, destination, weight, ship_date) VALUES (13, 'Egypt', 'Japa... | What was the total weight of shipments from Africa to Asia in June 2022? | SELECT SUM(weight) FROM Shipments WHERE (source = 'Nigeria' OR source = 'Egypt' OR source = 'South Africa') AND (destination = 'China' OR destination = 'Japan' OR destination = 'India') AND ship_date = '2022-06-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE oceania_visitors (id INT, name TEXT, country TEXT, visit_date DATE); | Show the total number of international visitors to all countries in Oceania in the last year. | SELECT country, COUNT(*) AS visitor_count FROM oceania_visitors WHERE visit_date > DATEADD(year, -1, GETDATE()) GROUP BY country; SELECT SUM(visitor_count) AS total_visitor_count FROM ( SELECT country, COUNT(*) AS visitor_count FROM oceania_visitors WHERE visit_date > DATEADD(year, -1, GETDATE()) GROUP BY country ) AS ... | gretelai_synthetic_text_to_sql |
CREATE TABLE CountryFoodIntake (CountryName VARCHAR(50), Continent VARCHAR(50), Year INT, CaloriesPerPerson INT); INSERT INTO CountryFoodIntake (CountryName, Continent, Year, CaloriesPerPerson) VALUES ('United States', 'North America', 2021, 3800), ('Mexico', 'North America', 2021, 3400), ('Italy', 'Europe', 2021, 3200... | What is the total calorie intake for each continent in 2021? | SELECT Continent, SUM(CaloriesPerPerson) FROM CountryFoodIntake WHERE Year = 2021 GROUP BY Continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE Investors (InvestorID INT, InvestorName VARCHAR(50)); CREATE TABLE Founders (FounderID INT, FounderName VARCHAR(50), Ethnicity VARCHAR(20)); CREATE TABLE Investments (InvestmentID INT, InvestorID INT, FounderID INT, InvestmentAmount DECIMAL(10, 2)); | What is the total investment amount by each investor for diverse founders? | SELECT I.InvestorName, SUM(I.InvestmentAmount) AS TotalInvestment FROM Investments I JOIN Founders F ON I.FounderID = Founders.FounderID WHERE F.Ethnicity IN ('African', 'Hispanic', 'Asian', 'Indigenous') GROUP BY I.InvestorID; | gretelai_synthetic_text_to_sql |
CREATE TABLE timber_production_volume_2(year INT, region VARCHAR(255), species VARCHAR(255), volume FLOAT); INSERT INTO timber_production_volume_2(year, region, species, volume) VALUES (2016, 'Asia', 'Pine', 1100.0), (2016, 'Asia', 'Oak', 1400.0), (2017, 'Africa', 'Pine', 1200.0), (2017, 'Africa', 'Oak', 1500.0), (2018... | What is the total volume of timber production for each species in the African region in 2017 and 2018? | SELECT species, SUM(volume) as total_volume FROM timber_production_volume_2 WHERE region = 'Africa' AND year IN (2017, 2018) GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE Song (Title VARCHAR(30), Genre VARCHAR(10), Duration FLOAT); INSERT INTO Song (Title, Genre, Duration) VALUES ('Song1', 'Jazz', 3.45), ('Song2', 'Jazz', 4.23), ('Song3', 'Jazz', 2.87), ('Song4', 'Pop', 3.12), ('Song5', 'Rock', 2.98), ('Song6', 'Jazz', 3.66); | What is the average duration of songs in the jazz genre? | SELECT AVG(Duration) FROM Song WHERE Genre = 'Jazz'; | gretelai_synthetic_text_to_sql |
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