context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE farms (id INT, name TEXT, location TEXT, is_indigenous BOOLEAN); INSERT INTO farms (id, name, location, is_indigenous) VALUES (1, 'Farm A', 'North America', TRUE); INSERT INTO farms (id, name, location, is_indigenous) VALUES (2, 'Farm B', 'North America', FALSE); CREATE TABLE crops (id INT, name TEXT, type... | What are the 'Crop Types' and their respective total production for 'Indigenous Farms' in 'North America' in 2022? | SELECT c.type, SUM(c.production) as total_production FROM crops c INNER JOIN farms f ON c.farm_id = f.id WHERE f.location = 'North America' AND f.is_indigenous = TRUE AND c.production > 0 AND c.year = 2022 GROUP BY c.type; | gretelai_synthetic_text_to_sql |
CREATE TABLE game_W_sales (sale_id INT, sale_date DATE, revenue INT); | What is the total revenue of game W in year 2021? | SELECT SUM(revenue) FROM game_W_sales WHERE YEAR(sale_date) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE ticket_sales (id INT PRIMARY KEY, game_id INT, number_of_tickets INT, date DATE); | get the total number of tickets sold for a specific game | SELECT SUM(number_of_tickets) FROM ticket_sales WHERE game_id = 123 AND date = '2022-05-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE seafood_sales (id INT, supplier_id INT, species_id INT, quantity INT, date DATE); CREATE TABLE seafood_species (id INT, name VARCHAR(255), is_sustainable BOOLEAN); INSERT INTO seafood_sales (id, supplier_id, species_id, quantity, date) VALUES (1, 1, 1, 50, '2022-01-01'), (2, 1, 2, 80, '2022-01-01'), (3, 2,... | What is the percentage of sustainable seafood sold by each supplier, for each month, for the past year? | SELECT s.name as supplier, DATE_TRUNC('month', ss.date) as month, 100.0 * SUM(CASE WHEN ss.species_id = ss.species_id AND s.is_sustainable THEN ss.quantity ELSE 0 END) / (SELECT SUM(quantity) FROM seafood_sales WHERE supplier_id = ss.supplier_id AND DATE_TRUNC('month', date) = DATE_TRUNC('month', ss.date)) as pct_susta... | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_incidents (incident_id INT, incident_type VARCHAR(50), department VARCHAR(50), country VARCHAR(50)); INSERT INTO safety_incidents (incident_id, incident_type, department, country) VALUES (1, 'Incident A', 'Manufacturing', 'Nigeria'), (2, 'Incident B', 'Research', 'Nigeria'), (3, 'Incident C', 'Manuf... | Determine the percentage of safety incidents in Nigeria that occurred in the manufacturing department. | SELECT COUNT(*) * 100.0 / (SELECT COUNT(*) FROM safety_incidents WHERE country = 'Nigeria' AND department = 'Manufacturing') FROM safety_incidents WHERE country = 'Nigeria'; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (id INT, department VARCHAR(50), incident_date DATE, incident_category VARCHAR(50), is_false_positive BOOLEAN); | What is the distribution of security incidents by category for each department in the last month, excluding false positives? | SELECT department, incident_category, COUNT(*) as incident_count FROM security_incidents WHERE incident_date >= DATEADD(month, -1, GETDATE()) AND is_false_positive = FALSE GROUP BY department, incident_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE eco_tourists (id INT, country VARCHAR(20), days INT); INSERT INTO eco_tourists (id, country, days) VALUES (1, 'Costa Rica', 7), (2, 'Costa Rica', 10), (3, 'Costa Rica', 5); | What is the average length of stay for eco-tourists in Costa Rica? | SELECT AVG(days) FROM eco_tourists WHERE country = 'Costa Rica'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Garments(id INT, category VARCHAR(20), retail_price DECIMAL(5,2)); INSERT INTO Garments(id, category, retail_price) VALUES (1, 'Sustainable_Materials', 50.00), (2, 'Conventional_Materials', 30.00); | What is the average retail price of garments in the 'Sustainable_Materials' category? | SELECT AVG(retail_price) FROM Garments WHERE category = 'Sustainable_Materials'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (id INT, name VARCHAR(255), location VARCHAR(255), size_km FLOAT); INSERT INTO marine_protected_areas (id, name, location, size_km) VALUES (1, 'Bouillante Underwater Nature Reserve', 'Guadeloupe, Caribbean', 18.0), (2, 'Medes Islands', 'Mediterranean Sea', 80.0); | List all marine protected areas in the Mediterranean. | SELECT name FROM marine_protected_areas WHERE location = 'Mediterranean Sea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE asia_sustainable_tourism (id INT, country VARCHAR(20), certifications INT); INSERT INTO asia_sustainable_tourism (id, country, certifications) VALUES (1, 'India', 25), (2, 'Indonesia', 30), (3, 'Thailand', 35), (4, 'Vietnam', 40), (5, 'Malaysia', 45); | What is the average number of sustainable tourism certifications for countries in Asia? | SELECT AVG(certifications) FROM asia_sustainable_tourism; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity (id INT PRIMARY KEY, incident_date DATE, incident_description TEXT, location TEXT, resolved BOOLEAN); CREATE VIEW regions AS SELECT location AS region FROM mental_health_parity GROUP BY location; | What is the total number of mental health parity violations that have been reported in each region in the last year? | SELECT region, COUNT(*) FROM mental_health_parity WHERE incident_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessel (id INT, type VARCHAR(50), name VARCHAR(50));CREATE TABLE speed_data (vessel_id INT, speed DECIMAL(10,2), speed_date DATE); | What is the average speed of container vessels in the past year? | SELECT AVG(sd.speed) as avg_speed FROM vessel v INNER JOIN speed_data sd ON v.id = sd.vessel_id WHERE v.type = 'container' AND sd.speed_date >= DATE(NOW(), INTERVAL -1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE athletes (name TEXT, sport TEXT); INSERT INTO athletes (name, sport) VALUES ('John Doe', 'Baseball'), ('Jane Doe', 'Soccer'), ('Jim Smith', 'Baseball'), ('Jill Smith', 'Soccer'); | Find the names of athletes who have participated in both baseball and soccer. | SELECT name FROM athletes WHERE sport IN ('Baseball', 'Soccer') GROUP BY name HAVING COUNT(DISTINCT sport) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE traditional_arts (id INT PRIMARY KEY, name VARCHAR(255), type VARCHAR(255), region VARCHAR(255)); | Insert a new traditional art in Asia into the 'traditional_arts' table | INSERT INTO traditional_arts (id, name, type, region) VALUES (2, 'Kasuri Textiles', 'Textile', 'East Asia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE VolunteerPrograms (ProgramID INT, ProgramName VARCHAR(50), VolunteerID INT); | List all volunteers who have volunteered for more than one program in the 'VolunteerPrograms' table. | SELECT V.FirstName, V.LastName, COUNT(DISTINCT ProgramID) AS ProgramCount FROM VolunteerPrograms VP INNER JOIN Volunteers V ON VP.VolunteerID = V.VolunteerID GROUP BY V.VolunteerID HAVING COUNT(DISTINCT ProgramID) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE sessions (session_id INT, type VARCHAR(20), therapist_id INT, patient_id INT, sessions INT); INSERT INTO sessions (session_id, type, therapist_id, patient_id, sessions) VALUES (1, 'Group Therapy', 1, 1, 2); INSERT INTO sessions (session_id, type, therapist_id, patient_id, sessions) VALUES (2, 'Individual T... | What is the total number of patients who have attended group therapy sessions? | SELECT COUNT(DISTINCT patient_id) FROM sessions WHERE type = 'Group Therapy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Machines (MachineID INT, ManufacturingCountry VARCHAR(50)); INSERT INTO Machines (MachineID, ManufacturingCountry) VALUES (1, 'Germany'); INSERT INTO Machines (MachineID, ManufacturingCountry) VALUES (2, 'France'); | Which machines were manufactured in Germany? | SELECT MachineID FROM Machines WHERE ManufacturingCountry = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE crime_categories (category_id INT, category_name TEXT); INSERT INTO crime_categories (category_id, category_name) VALUES (1, 'Theft'), (2, 'Vandalism'), (3, 'Assault'), (4, 'Drug Offense'); CREATE TABLE crimes (crime_id INT, category_id INT, date DATE, neighborhood TEXT); INSERT INTO crimes (crime_id, cate... | How many crimes were committed in each category during the last month in the park neighborhood? | SELECT category_name, COUNT(*) FROM crimes WHERE neighborhood = 'Park' AND date >= '2022-03-01' AND date < '2022-04-01' GROUP BY category_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (id INT, mission_name VARCHAR(50), launch_date DATE, launch_company VARCHAR(50), destination VARCHAR(50)); INSERT INTO space_missions (id, mission_name, launch_date, launch_company, destination) VALUES (1, 'Apollo 11', '1969-07-16', 'NASA', 'Moon'); INSERT INTO space_missions (id, mission_na... | Which private companies have launched space missions that reached the Moon? | SELECT launch_company FROM space_missions WHERE destination = 'Moon' AND launch_company NOT IN ('NASA', 'ESA', 'Roscosmos', 'ISRO'); | gretelai_synthetic_text_to_sql |
CREATE TABLE cosmetics_production (company_id INT, country VARCHAR(255), co2_emissions INT); CREATE TABLE companies (company_id INT, company_name VARCHAR(255)); INSERT INTO cosmetics_production (company_id, country, co2_emissions) VALUES (1, 'China', 5000), (2, 'USA', 4000), (3, 'Germany', 3000); INSERT INTO companies ... | What are the top 3 countries with the highest CO2 emissions in cosmetics production? | SELECT country, SUM(co2_emissions) AS total_emissions FROM cosmetics_production INNER JOIN companies ON cosmetics_production.company_id = companies.company_id GROUP BY country ORDER BY total_emissions DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE matter_composition (date DATE, region VARCHAR(50), organic_matter FLOAT, inorganic_matter FLOAT); INSERT INTO matter_composition (date, region, organic_matter, inorganic_matter) VALUES ('2021-10-01', 'Africa', 1200, 800); | What is the total organic matter and inorganic matter for each region in Q4 2021? | SELECT EXTRACT(QUARTER FROM date) as quarter, region, SUM(organic_matter) as total_organic_matter, SUM(inorganic_matter) as total_inorganic_matter FROM matter_composition WHERE date >= '2021-10-01' AND date <= '2021-12-31' GROUP BY quarter, region; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name VARCHAR(50), type VARCHAR(50), max_cargo_weight INT); INSERT INTO vessels (id, name, type, max_cargo_weight) VALUES (1, 'VesselA', 'Cargo', 10000), (2, 'VesselB', 'Tanker', 8000), (3, 'VesselC', 'Passenger', 0); CREATE TABLE voyages (id INT, vessel_id INT, region VARCHAR(50), distance... | What is the total cargo weight carried by vessels to the Indian Ocean? | SELECT SUM(cargo_weight) FROM voyages WHERE region = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Project_Timeline (project_id INT, project_type VARCHAR(50), location VARCHAR(50), start_date DATE, completion_date DATE); INSERT INTO Project_Timeline (project_id, project_type, location, start_date, completion_date) VALUES (1, 'Commercial', 'Florida', '2020-01-01', '2021-01-01'); INSERT INTO Project_Timel... | Identify the average duration of construction projects in Florida that were initiated in 2020 and completed in 2021. | SELECT AVG(DATEDIFF(completion_date, start_date)) FROM Project_Timeline WHERE location = 'Florida' AND start_date BETWEEN '2020-01-01' AND '2020-12-31' AND completion_date BETWEEN '2021-01-01' AND '2021-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE faculty (id INT, name VARCHAR(50), tenure VARCHAR(50), community VARCHAR(50), department VARCHAR(50)); | Identify the top 5 departments with the highest percentage of tenured faculty members from underrepresented communities. | SELECT department, ROUND(COUNT(*) * 100.0 / NULLIF(SUM(CASE WHEN tenure = 'Tenured' THEN 1 ELSE 0 END), 0), 2) AS tenured_percentage FROM faculty WHERE community IN ('underrepresented_1', 'underrepresented_2') AND tenure = 'Tenured' GROUP BY department ORDER BY tenured_percentage DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE network_investments (investment_id INT, investment_type VARCHAR(50), location VARCHAR(50), investment_amount DECIMAL(10,2)); | Insert a new record in the network_investments table for a new fiber optic investment in Dallas, TX in the amount of 2,000,000.00 | INSERT INTO network_investments (investment_id, investment_type, location, investment_amount) VALUES ((SELECT MAX(investment_id) FROM network_investments) + 1, 'fiber optic', 'Dallas, TX', 2000000.00); | gretelai_synthetic_text_to_sql |
CREATE TABLE ethereum_smart_contracts (id INT, gas_fees DECIMAL(10, 2), deFi_involvement BOOLEAN); INSERT INTO ethereum_smart_contracts (id, gas_fees, deFi_involvement) VALUES (1, 100, TRUE); | What is the maximum gas fee for Ethereum smart contracts involved in DeFi? | SELECT MAX(gas_fees) FROM ethereum_smart_contracts WHERE deFi_involvement = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE policies (id INT, policy_type VARCHAR(20), coverage_level INT, price FLOAT); INSERT INTO policies (id, policy_type, coverage_level, price) VALUES (1, 'Comprehensive', 3, 1200.00), (2, 'Third-Party', 2, 800.00), (3, 'Third-Party', 3, 1000.00); CREATE TABLE policyholders (id INT, age INT, gender VARCHAR(10),... | List all policies with their total claim amounts for policyholders from Texas, grouped by policy type and coverage level. | SELECT policy_type, coverage_level, SUM(claim_amount) FROM claims JOIN policyholders ON claims.policyholder_id = policyholders.id JOIN policies ON policyholders.policy_type = policies.policy_type WHERE policyholders.state = 'Texas' GROUP BY policy_type, coverage_level; | gretelai_synthetic_text_to_sql |
CREATE TABLE product (product_id INT, product_name TEXT, price FLOAT, rating INT); INSERT INTO product VALUES (1, 'Lipstick', 10.0, 4), (2, 'Moisturizer', 20.0, 5), (3, 'Foundation', 30.0, 3); | What is the average rating of products in a certain price range? | SELECT AVG(rating) FROM product WHERE price >= 10.0 AND price <= 30.0; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholders (policy_number INT, policyholder_name VARCHAR(50), car_make VARCHAR(20), policyholder_state VARCHAR(20)); | Retrieve the policy numbers and policyholder names for policyholders who have a car make of 'Honda' or 'Hyundai' and live in 'California' | SELECT policy_number, policyholder_name FROM policyholders WHERE (car_make = 'Honda' OR car_make = 'Hyundai') AND policyholder_state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donor_data (id INT, donation DECIMAL(10,2), sector TEXT); INSERT INTO donor_data (id, donation, sector) VALUES (1, 250.00, 'education'), (2, 300.00, 'health'), (3, 150.00, 'education'), (1, 100.00, 'health'); CREATE TABLE volunteer_data (id INT, sector TEXT, volunteer_hours INT); INSERT INTO volunteer_data... | What is the total number of unique donors and volunteers who have contributed to programs in the health sector? | SELECT COUNT(DISTINCT donor_data.id) as total_donors, COUNT(DISTINCT volunteer_data.id) as total_volunteers FROM donor_data INNER JOIN volunteer_data ON donor_data.sector = volunteer_data.sector WHERE donor_data.sector = 'health'; | gretelai_synthetic_text_to_sql |
CREATE TABLE media_ethics (article_id INT, author VARCHAR(50), title VARCHAR(100), published_date DATE, category VARCHAR(30), author_region VARCHAR(30)); INSERT INTO media_ethics (article_id, author, title, published_date, category, author_region) VALUES (3, 'Ali Khan', 'Article 7', '2021-01-07', 'Ethics', 'Asia'); | What is the total number of articles published by authors from Asia in the 'media_ethics' table? | SELECT author_region, COUNT(article_id) AS total_articles FROM media_ethics WHERE author_region = 'Asia' GROUP BY author_region; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, username VARCHAR(255), network VARCHAR(255), profile_picture VARCHAR(255)); INSERT INTO users (id, username, network, profile_picture) VALUES (1, 'user1', 'social', 'old_url'), (2, 'user2', 'professional', 'new_url'); | Update the profile picture URL for user 'user1' in the 'social' network. | UPDATE users SET profile_picture = 'new_url' WHERE username = 'user1' AND network = 'social'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Gadolinium_Production (Year INT, Quantity INT); INSERT INTO Gadolinium_Production (Year, Quantity) VALUES (2015, 600), (2016, 650), (2017, 700), (2018, 750); CREATE TABLE Samarium_Production (Year INT, Quantity INT); INSERT INTO Samarium_Production (Year, Quantity) VALUES (2015, 550), (2016, 600), (2017, 6... | What is the difference in total production between Gadolinium and Samarium for all years? | SELECT (SELECT SUM(Quantity) FROM Gadolinium_Production) - (SELECT SUM(Quantity) FROM Samarium_Production); | gretelai_synthetic_text_to_sql |
CREATE TABLE attractions (id INT PRIMARY KEY, name VARCHAR(255), description TEXT, category VARCHAR(255), city VARCHAR(255), country VARCHAR(255)); | Update the description field in the attractions table for the attraction with id 3 | UPDATE attractions SET description = 'A stunning temple in Kyoto, Japan' WHERE id = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_efficiency (id INT, country TEXT, year INT, improvement FLOAT); | What is the total energy efficiency improvement in India from 2017 to 2020? | SELECT SUM(improvement) FROM energy_efficiency WHERE country = 'India' AND year BETWEEN 2017 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (client_id INT, name VARCHAR(50)); CREATE TABLE transactions (transaction_id INT, client_id INT, amount DECIMAL(10, 2)); INSERT INTO clients (client_id, name) VALUES (1, 'John Doe'), (2, 'Jane Smith'); INSERT INTO transactions (transaction_id, client_id, amount) VALUES (1, 1, 1000.00), (2, 1, 2000.... | What is the total value of transactions for each client? | SELECT c.client_id, c.name, SUM(t.amount) FROM clients c INNER JOIN transactions t ON c.client_id = t.client_id GROUP BY c.client_id, c.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_life (life_id INT, life_name VARCHAR(50), region VARCHAR(50)); INSERT INTO marine_life (life_id, life_name, region) VALUES (1, 'Polar Bear', 'Arctic'), (2, 'Walrus', 'Arctic'); | What is the total number of marine species in the Arctic region? | SELECT COUNT(*) FROM marine_life WHERE region = 'Arctic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EV_Price (id INT, vehicle_model VARCHAR(255), price FLOAT); INSERT INTO EV_Price (id, vehicle_model, price) VALUES (1, 'Polestar 2', 59900.0); INSERT INTO EV_Price (id, vehicle_model, price) VALUES (2, 'Volvo XC40', 53900.0); INSERT INTO EV_Price (id, vehicle_model, price) VALUES (3, 'Volvo XC60', 58400.0)... | What is the average price of electric vehicles manufactured in Sweden? | SELECT AVG(price) FROM EV_Price WHERE vehicle_model IN (SELECT vehicle_model FROM EV_Manufacturers WHERE manufacturing_country = 'Sweden'); | gretelai_synthetic_text_to_sql |
CREATE TABLE sales_by_manufacturer (manufacturer VARCHAR(255), revenue FLOAT); INSERT INTO sales_by_manufacturer (manufacturer, revenue) VALUES ('Manufacturer A', 6000), ('Manufacturer B', 5000), ('Manufacturer C', 4000); | Get the total sales for each garment manufacturer in the month of March 2022? | SELECT manufacturer, SUM(revenue) FROM sales_by_manufacturer WHERE revenue IS NOT NULL AND manufacturer IS NOT NULL AND STR_TO_DATE(CONCAT('03-', MONTH(NOW())), '%d-%m-%Y') = STR_TO_DATE('03-2022', '%d-%m-%Y') GROUP BY manufacturer; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID int, Gender varchar(10), Department varchar(20), Salary numeric(10,2)); INSERT INTO Employees (EmployeeID, Gender, Department, Salary) VALUES (1, 'Male', 'IT', 75000.00), (2, 'Female', 'IT', 70000.00), (3, 'Non-binary', 'HR', 60000.00), (4, 'Female', 'HR', 65000.00); | What is the average salary of female employees in the HR department? | SELECT AVG(Salary) FROM Employees WHERE Gender = 'Female' AND Department = 'HR'; | gretelai_synthetic_text_to_sql |
CREATE TABLE media_content (id INT, genre VARCHAR(50), frequency INT); INSERT INTO media_content (id, genre, frequency) VALUES (1, 'Movie', 100), (2, 'TV Show', 30), (3, 'Documentary', 40); | What is the minimum frequency of content for each genre in the media_content table? | SELECT genre, MIN(frequency) FROM media_content GROUP BY genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tourism (country TEXT, revenue FLOAT, date DATE); INSERT INTO virtual_tourism (country, revenue, date) VALUES ('Spain', 25000.0, '2022-03-01'), ('Spain', 28000.0, '2022-04-01'), ('Italy', 18000.0, '2022-03-01'), ('Italy', 20000.0, '2022-04-01'); | Virtual tourism revenue generated in Spain and Italy in the last 3 months? | SELECT country, SUM(revenue) FROM virtual_tourism WHERE date >= '2022-01-01' AND date <= '2022-04-01' AND country IN ('Spain', 'Italy') GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE foia_requests (request_id INT, requester_name VARCHAR(100), request_date DATE, request_type VARCHAR(50), status VARCHAR(50)); | Insert a new FOIA request with the following details: ID '65432', Requester Name 'Jane Smith', Request Date '2022-01-02', Request Type 'Legal Documents', Status 'Pending'. | INSERT INTO foia_requests (request_id, requester_name, request_date, request_type, status) VALUES (65432, 'Jane Smith', '2022-01-02', 'Legal Documents', 'Pending'); | gretelai_synthetic_text_to_sql |
CREATE TABLE incidents (incident_id INT, incident_type VARCHAR(255), incident_date DATE, incident_source VARCHAR(255)); INSERT INTO incidents (incident_id, incident_type, incident_date, incident_source) VALUES (1, 'Phishing', '2022-01-01', 'External'), (2, 'Malware', '2022-01-05', 'External'), (3, 'SQL Injection', '202... | What is the percentage of security incidents caused by insiders in the last year? | SELECT PERCENTAGE(SUM(CASE WHEN incident_source = 'Internal' THEN 1 ELSE 0 END) OVER (), SUM(CASE WHEN incident_source IS NOT NULL THEN 1 ELSE 0 END) OVER ()) as insider_percentage FROM incidents WHERE incident_date >= DATEADD(year, -1, CURRENT_TIMESTAMP); | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_temperatures (ocean TEXT, temperature FLOAT); INSERT INTO ocean_temperatures (ocean, temperature) VALUES ('Indian Ocean', 27.0), ('Indian Ocean', 28.0); | What is the average temperature in the Indian Ocean? | SELECT AVG(temperature) FROM ocean_temperatures WHERE ocean = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE unions (id INT, industry VARCHAR(20), num_employees INT); INSERT INTO unions (id, industry, num_employees) VALUES (1, 'manufacturing', 1000), (2, 'technology', 200), (3, 'healthcare', 3000), (4, 'retail', 500), (5, 'education', 800); | What is the number of employees who are members of unions in each industry? | SELECT industry, num_employees FROM unions; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (region VARCHAR(50), recycling_rate INT); INSERT INTO recycling_rates (region, recycling_rate) VALUES ('Asia', 45), ('EU', 50), ('NA', 55), ('Africa', 30), ('South America', 40); | Update recycling_rates table, setting the recycling_rate to 60 where the region is 'NA' | UPDATE recycling_rates SET recycling_rate = 60 WHERE region = 'NA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE museum_visitors (id INT, exhibition_date DATE, is_bipoc BOOLEAN); INSERT INTO museum_visitors (id, exhibition_date, is_bipoc) VALUES (1, '2022-05-01', TRUE), (2, '2022-05-01', FALSE), (3, '2022-05-02', TRUE); | How many visitors identified as BIPOC attended the last three exhibitions at the local museum? | SELECT COUNT(*) FROM (SELECT * FROM museum_visitors WHERE exhibition_date IN ('2022-04-30', '2022-05-01', '2022-05-02') AND is_bipoc = TRUE) AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE Military_Personnel (region TEXT, personnel INTEGER); INSERT INTO Military_Personnel (region, personnel) VALUES ('Middle East', 1000), ('Europe', 500), ('Asia', 750), ('Africa', 250), ('US', 1500), ('Canada', 300), ('South America', 100); | How many military personnel are stationed in each region? | SELECT region, personnel FROM Military_Personnel; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, category VARCHAR(50), cruelty_free BOOLEAN, preference_rating INT); INSERT INTO products (product_id, category, cruelty_free, preference_rating) VALUES (1, 'Eyeliner', true, 8), (2, 'Lipstick', false, 9), (3, 'Eyeshadow', true, 7); | What is the average preference rating for cruelty-free eyeliners? | SELECT AVG(products.preference_rating) FROM products WHERE products.category = 'Eyeliner' AND products.cruelty_free = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE ExcavationSites (site_id INT, site_name TEXT, period TEXT); INSERT INTO ExcavationSites (site_id, site_name, period) VALUES (1, 'SiteA', 'Iron Age'), (2, 'SiteB', 'Bronze Age'), (3, 'SiteC', 'Classic'), (4, 'SiteD', 'Post-Classic'); | Update the period to 'Post-Classic' for all excavation sites with an ID greater than 2. | UPDATE ExcavationSites SET period = 'Post-Classic' WHERE site_id > 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_equipment (equipment_id INT, name VARCHAR(255), type VARCHAR(255), manufacturer VARCHAR(255), quantity INT); | Insert data into 'military_equipment' for equipment_id 1, 'M1 Abrams', 'Tank', 'General Dynamics', 2000 | INSERT INTO military_equipment (equipment_id, name, type, manufacturer, quantity) VALUES (1, 'M1 Abrams', 'Tank', 'General Dynamics', 2000); | gretelai_synthetic_text_to_sql |
CREATE TABLE menus (menu_id INT, menu_name VARCHAR(50), menu_type VARCHAR(20), price DECIMAL(5,2), is_organic BOOLEAN); INSERT INTO menus (menu_id, menu_name, menu_type, price, is_organic) VALUES (1, 'Quinoa Salad', 'Vegetarian', 9.99, true), (2, 'Margherita Pizza', 'Non-vegetarian', 12.99, false), (3, 'Tofu Stir Fry',... | What is the minimum price of vegetarian menu items sourced from organic farms? | SELECT MIN(price) FROM menus WHERE menu_type = 'Vegetarian' AND is_organic = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (year INT, region TEXT, plastic_rate FLOAT, paper_rate FLOAT); INSERT INTO recycling_rates (year, region, plastic_rate, paper_rate) VALUES (2018, 'Asia', 0.35, 0.60), (2018, 'Europe', 0.55, 0.75), (2019, 'Asia', 0.40, 0.65), (2019, 'Europe', 0.60, 0.80), (2019, 'Oceania', NULL, NULL); | What is the plastic recycling rate in Oceania in 2019? | SELECT AVG(plastic_rate) FROM recycling_rates WHERE region = 'Oceania' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(100), source_country VARCHAR(50), publication_date DATE); INSERT INTO articles (id, title, source_country, publication_date) VALUES (1, 'Article1', 'USA', '2020-01-01'), (2, 'Article2', 'Canada', '2019-12-31'), (3, 'Article3', 'USA', '2020-02-01'); | List the number of articles published in 2020, by each source country, in descending order of article count. | SELECT source_country, COUNT(*) as article_count FROM articles WHERE publication_date >= '2020-01-01' AND publication_date < '2021-01-01' GROUP BY source_country ORDER BY article_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (id INT, name VARCHAR(50), asset_value FLOAT, country VARCHAR(50)); INSERT INTO customers (id, name, asset_value, country) VALUES (1, 'Ravi Kumar', 50000.00, 'India'), (2, 'Sophia Lee', 75000.00, 'South Korea'), (3, 'Kenji Nakamura', 60000.00, 'Japan'), (4, 'Priya Gupta', 80000.00, 'India'), (5, ... | Identify the top 5 customers by total assets, ordered by the country they are from | SELECT id, name, asset_value, country FROM customers ORDER BY asset_value DESC, country; | gretelai_synthetic_text_to_sql |
CREATE TABLE office (office_id INT, office_name VARCHAR(20)); INSERT INTO office (office_id, office_name) VALUES (1, 'boston'), (2, 'new_york'); | What is the total number of cases handled by attorneys in the 'boston' office? | SELECT COUNT(*) FROM cases JOIN attorney ON cases.attorney_id = attorney.attorney_id WHERE attorney.office_id = (SELECT office_id FROM office WHERE office_name = 'boston'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mines (mine_id INT, name TEXT, location TEXT, productivity FLOAT); INSERT INTO mines (mine_id, name, location, productivity) VALUES (1, 'ABC Mine', 'USA', 1200), (2, 'DEF Mine', 'Canada', 1500); | What is the total labor productivity for all mines? | SELECT SUM(productivity) FROM mines; | gretelai_synthetic_text_to_sql |
CREATE TABLE PlayerGameType (PlayerID int, PlayerName varchar(50), Country varchar(50), GameType varchar(50), Wins int); INSERT INTO PlayerGameType (PlayerID, PlayerName, Country, GameType, Wins) VALUES (1, 'Mohamed Ahmed', 'Egypt', 'FPS', 10), (2, 'Aisha Mohamed', 'Kenya', 'Strategy', 15), (3, 'Kofi Ansah', 'Ghana', '... | What is the total number of wins in FPS games for players from Africa? | SELECT SUM(Wins) FROM PlayerGameType WHERE Country IN ('Egypt', 'Kenya', 'Ghana') AND GameType = 'FPS'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_weights (make VARCHAR(255), model VARCHAR(255), weight INT); INSERT INTO vehicle_weights (make, model, weight) VALUES ('Ford', 'Mustang', 3600), ('Ford', 'Explorer', 4400); | What is the total weight of the Ford Mustang? | SELECT weight FROM vehicle_weights WHERE make = 'Ford' AND model = 'Mustang'; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_building_materials (id INT, material VARCHAR(255), description VARCHAR(255), sourced_from VARCHAR(255), certified BOOLEAN); INSERT INTO green_building_materials (id, material, description, sourced_from, certified) VALUES (1, 'Recycled Steel', 'Strong and durable construction material made from recycl... | What are the names and descriptions of all certified green building materials sourced from Africa? | SELECT material, description FROM green_building_materials WHERE certified = true AND sourced_from = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PollutionData (ID INT, Location VARCHAR(50), Pollutant VARCHAR(50), Level INT, MeasurementDate DATE); INSERT INTO PollutionData (ID, Location, Pollutant, Level, MeasurementDate) VALUES (1, 'NewYork', 'Mercury', 5, '2020-01-01'), (2, 'California', 'Lead', 10, '2020-01-02'), (3, 'Texas', 'CarbonMonoxide', 12... | List the locations with increasing pollution levels over time. | SELECT Location, Pollutant, Level, LEAD(Level) OVER (PARTITION BY Location ORDER BY MeasurementDate) as NextLevel FROM PollutionData; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cases (CaseID int, CaseType varchar(50), TotalBillingAmount numeric); INSERT INTO Cases VALUES (1, 'Civil', 7000), (2, 'Labor', 9000), (3, 'Civil', 8000), (4, 'Labor', 6000), (5, 'Civil', 10000), (6, 'Labor', 11000); | What is the total billing amount for cases in civil law, compared to those in labor law? | SELECT SUM(CASE WHEN CaseType = 'Civil' THEN TotalBillingAmount ELSE 0 END) AS CivilTotalBillingAmount, SUM(CASE WHEN CaseType = 'Labor' THEN TotalBillingAmount ELSE 0 END) AS LaborTotalBillingAmount FROM Cases; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmland (farmland_id INT, country VARCHAR(255), precipitation INT, light_intensity INT); INSERT INTO farmland (farmland_id, country, precipitation, light_intensity) VALUES (1, 'India', 50, 1000), (2, 'Nepal', 100, 800), (3, 'Bangladesh', 75, 1200), (4, 'Pakistan', 60, 900); | What's the average precipitation and light intensity for each farm in the farmland table? | SELECT AVG(farmland.precipitation) AS avg_precipitation, AVG(farmland.light_intensity) AS avg_light_intensity, farmland.country FROM farmland GROUP BY farmland.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE bioprocess_engineering (name VARCHAR(255), year INT, budget FLOAT); INSERT INTO bioprocess_engineering (name, year, budget) VALUES ('ProjectA', 2019, 8000000), ('ProjectB', 2020, 9000000), ('ProjectC', 2019, 10000000); | What is the total budget for bioprocess engineering projects in 2019? | SELECT SUM(budget) FROM bioprocess_engineering WHERE year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, name TEXT, is_upcycled BOOLEAN, country TEXT); INSERT INTO products (product_id, name, is_upcycled, country) VALUES (1, 'Vintage Denim Jacket', true, 'Italy'); | Which country has the highest number of upcycled products? | SELECT country, COUNT(*) as count FROM products WHERE is_upcycled = true GROUP BY country ORDER BY count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE bike_stations (station_id INT, station_name VARCHAR(255)); CREATE TABLE bike_inventory (inventory_id INT, station_id INT, bike_count INT); INSERT INTO bike_stations VALUES (1, 'Station 1'); INSERT INTO bike_stations VALUES (2, 'Station 2'); INSERT INTO bike_inventory VALUES (1, 1, 20); INSERT INTO bike_inv... | What is the total number of bikes available for each station in the bike sharing system? | SELECT station_name, SUM(bike_count) as total_bikes FROM bike_stations s JOIN bike_inventory i ON s.station_id = i.station_id GROUP BY s.station_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (id INT, name VARCHAR(255), age INT, state VARCHAR(2)); | Insert a new record into the 'community_health_workers' table with the following information: ID 123, Name 'Sandra Lee', Age 35, State 'NY' | INSERT INTO community_health_workers (id, name, age, state) VALUES (123, 'Sandra Lee', 35, 'NY'); | gretelai_synthetic_text_to_sql |
CREATE TABLE education_union (employee_id INT, department VARCHAR(20)); INSERT INTO education_union (employee_id, department) VALUES (1, 'Education'), (2, 'Education'), (3, 'Education'), (4, 'Admin'), (5, 'Admin'); | What is the count of 'Education' department in the 'education_union' table? | SELECT COUNT(*) FROM education_union WHERE department = 'Education'; | gretelai_synthetic_text_to_sql |
CREATE TABLE precipitation_data (id INT, farm_id INT, precipitation_level INT, time_stamp DATETIME); INSERT INTO precipitation_data (id, farm_id, precipitation_level, time_stamp) VALUES (1, 1, 10, '2022-03-15 12:00:00'), (2, 2, 15, '2022-03-15 13:00:00'), (3, 3, 8, '2022-03-15 14:00:00'); | Delete all records in the precipitation_data table for farms in 'Kansas'. | DELETE FROM precipitation_data WHERE farm_id IN (SELECT id FROM farm_locations WHERE state = 'Kansas'); | gretelai_synthetic_text_to_sql |
CREATE TABLE FactoryRatings (factory_id INT, rating DECIMAL(2,1), fair_labor ENUM('yes','no')); | What is the average rating of factories that have implemented fair labor practices? | SELECT AVG(rating) FROM FactoryRatings WHERE fair_labor = 'yes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (id INT, name VARCHAR(50));CREATE TABLE artworks (id INT, title VARCHAR(50), artist_id INT); INSERT INTO artists (id, name) VALUES (1, 'Pablo Picasso'); | Insert a new artwork of an artist. | INSERT INTO artworks (id, title, artist_id) VALUES (1, 'Guernica', 1); | gretelai_synthetic_text_to_sql |
CREATE TABLE RenewableEnergyProjects (id INT, project_name VARCHAR(100), project_type VARCHAR(50), city VARCHAR(50), country VARCHAR(50), capacity INT); | List the number of renewable energy projects for each type in 'Canada' | SELECT project_type, COUNT(*) FROM RenewableEnergyProjects WHERE country = 'Canada' GROUP BY project_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE barents_sea_biomass (species VARCHAR(50), year INT, biomass FLOAT); | What is the total biomass of cod and herring in the Barents Sea in 2020? | SELECT SUM(CASE WHEN species IN ('cod', 'herring') THEN biomass ELSE 0 END) FROM barents_sea_biomass WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE routes (route_id INT, origin VARCHAR(50), destination VARCHAR(50), distance INT, eta DATE); INSERT INTO routes (route_id, origin, destination, distance, eta) VALUES (1, 'Los Angeles', 'Chicago', 2000, '2022-06-25'); INSERT INTO routes (route_id, origin, destination, distance, eta) VALUES (2, 'Miami', 'Dall... | Delete records in the "routes" table where the eta is older than the current date | DELETE FROM routes WHERE eta < CURDATE(); | gretelai_synthetic_text_to_sql |
CREATE TABLE users (user_id INT, username VARCHAR(20), email VARCHAR(50), follower_count INT); CREATE TABLE posts (post_id INT, user_id INT, content TEXT, post_time TIMESTAMP); CREATE TABLE comments (comment_id INT, post_id INT, user_id INT, comment TEXT, comment_time TIMESTAMP); CREATE TABLE reactions (reaction_id INT... | Create a table named moderation_actions with columns action_id, user_id, post_id, action_type, and action_time. | CREATE TABLE moderation_actions (action_id INT, user_id INT, post_id INT, action_type ENUM('delete', 'report', 'ban'), action_time TIMESTAMP); | gretelai_synthetic_text_to_sql |
CREATE TABLE financial_wellbeing_initiatives (initiative_id INT, launch_date DATE); INSERT INTO financial_wellbeing_initiatives (initiative_id, launch_date) VALUES (1, '2021-01-15'), (2, '2021-03-30'); | How many financial wellbeing initiatives were launched in Q1 2021? | SELECT COUNT(*) FROM financial_wellbeing_initiatives WHERE launch_date BETWEEN '2021-01-01' AND '2021-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE region (region_id INT, name VARCHAR(255)); INSERT INTO region (region_id, name) VALUES (1, 'Sahel'); CREATE TABLE camp (camp_id INT, name VARCHAR(255), region_id INT, capacity INT); INSERT INTO camp (camp_id, name, region_id, capacity) VALUES (1, 'Camp1', 1, 500), (2, 'Camp2', 1, 700); | Which refugee camps in the Sahel region have a capacity greater than 500? | SELECT name FROM camp WHERE region_id = (SELECT region_id FROM region WHERE name = 'Sahel') AND capacity > 500; | gretelai_synthetic_text_to_sql |
CREATE TABLE CybersecurityIncidents (country VARCHAR(50), incidents INT, year INT); INSERT INTO CybersecurityIncidents (country, incidents, year) VALUES ('USA', 5632, 2021); INSERT INTO CybersecurityIncidents (country, incidents, year) VALUES ('China', 2156, 2021); INSERT INTO CybersecurityIncidents (country, incidents... | Who are the top 5 countries with the highest number of cybersecurity incidents in the 'CybersecurityIncidents' table? | SELECT country, incidents FROM CybersecurityIncidents WHERE year = 2021 ORDER BY incidents DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (id INT, program VARCHAR(50), attendee INT); INSERT INTO Events (id, program, attendee) VALUES (1, 'Art Exhibition', 123), (2, 'Music Concert', 234), (3, 'Art Exhibition', 345); | How many times has each program been attended by a unique attendee? | SELECT program, COUNT(DISTINCT attendee) as unique_attendees FROM Events GROUP BY program; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID int, DonationDate date); | How many new donors made their first donation in Q3 2021? | SELECT COUNT(DISTINCT DonorID) FROM Donors WHERE DonationDate BETWEEN '2021-10-01' AND '2021-12-31' AND DonorID NOT IN (SELECT DonorID FROM Donors WHERE DonationDate < '2021-10-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE courses (course_id INT, subject_area TEXT, course_type TEXT); INSERT INTO courses VALUES (1, 'Math', 'Open Pedagogy'); INSERT INTO courses VALUES (2, 'English', 'Traditional'); INSERT INTO courses VALUES (3, 'Science', 'Open Pedagogy'); INSERT INTO courses VALUES (4, 'History', 'Traditional'); | What is the number of open pedagogy courses offered per subject area? | SELECT subject_area, COUNT(*) as num_courses FROM courses WHERE course_type = 'Open Pedagogy' GROUP BY subject_area; | gretelai_synthetic_text_to_sql |
CREATE TABLE species (id INT, name VARCHAR(255), carbon_sequestration FLOAT, habitat_id INT); INSERT INTO species (id, name, carbon_sequestration, habitat_id) VALUES (1, 'Species1', 123.45, 1); INSERT INTO species (id, name, carbon_sequestration, habitat_id) VALUES (2, 'Species2', 234.56, 2); CREATE TABLE habitat (id I... | Which species have a higher carbon sequestration than the habitat average? | SELECT s.name, s.carbon_sequestration FROM species s JOIN habitat h ON s.habitat_id = h.id WHERE s.carbon_sequestration > h.carbon_sequestration_avg; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists cargo (id INT, vessel_id INT, port_id INT, cargo_type VARCHAR(255), weight INT); INSERT INTO cargo (id, vessel_id, port_id, cargo_type, weight) VALUES (1, 1, 1, 'Containers', 10000); INSERT INTO cargo (id, vessel_id, port_id, cargo_type, weight) VALUES (2, 2, 2, 'Coal', 20000); CREATE VIEW ca... | What is the total number of cargo by type? | SELECT * FROM cargo_by_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups(id INT, name TEXT, founded_year INT, industry TEXT, total_funding DECIMAL(10,2)); INSERT INTO startups (id, name, founded_year, industry, total_funding) VALUES (1, 'Acme Inc', 2010, 'Tech', 1500000.00); INSERT INTO startups (id, name, founded_year, industry, total_funding) VALUES (2, 'Beta Corp', ... | What is the maximum funding round for startups in the 'Healthcare' sector founded after 2017? | SELECT MAX(total_funding) FROM startups WHERE industry = 'Healthcare' AND founded_year > 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE Negotiations (Id INT, UnionId INT, Duration INT); INSERT INTO Negotiations (Id, UnionId, Duration) VALUES (1, 2, 120), (2, 2, 180), (3, 3, 90), (4, 3, 210), (5, 3, 150), (6, 3, 130); | What is the maximum and minimum duration of collective bargaining negotiations for Union C? | SELECT MIN(Duration) as MinDuration, MAX(Duration) as MaxDuration FROM Negotiations WHERE UnionId = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE CountryMilitary (Country VARCHAR(50) PRIMARY KEY, Technology VARCHAR(50)); | Show countries involved in more than 5 military technologies | SELECT Country FROM CountryMilitary GROUP BY Country HAVING COUNT(*) > 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Department VARCHAR(255), Community VARCHAR(255)); INSERT INTO Employees (EmployeeID, Department, Community) VALUES (1, 'Mining Operations', 'Underrepresented Community A'), (2, 'Mining Operations', 'Underrepresented Community B'), (3, 'Mining Operations', 'Represented Community')... | What is the total number of employees in the Mining Operations department from all underrepresented communities? | SELECT Department, SUM(CASE WHEN Community IN ('Underrepresented Community A', 'Underrepresented Community B') THEN 1 ELSE 0 END) FROM Employees GROUP BY Department; | gretelai_synthetic_text_to_sql |
CREATE TABLE SatelliteDeployments (id INT, country VARCHAR(255), year INT, success BOOLEAN); INSERT INTO SatelliteDeployments VALUES (1, 'Nigeria', 2007, true), (2, 'Egypt', 2009, true), (3, 'South Africa', 2012, false), (4, 'Algeria', 2015, true); | How many successful satellite deployments occurred in Africa before 2010? | SELECT COUNT(*) FROM SatelliteDeployments WHERE country IN ('Nigeria', 'Egypt', 'South Africa', 'Algeria') AND success = true AND year < 2010; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (id INT, name VARCHAR(50), department VARCHAR(50), salary FLOAT, employment_status VARCHAR(50)); INSERT INTO Employees (id, name, department, salary, employment_status) VALUES (1, 'John Doe', 'Mining', 75000.00, 'Full-time'), (2, 'Jane Smith', 'HR', 60000.00, 'Full-time'), (3, 'Mike Johnson', 'Mi... | How many employees work in the Mining department compared to the HR department and IT department? | SELECT department, COUNT(*) FROM Employees GROUP BY department; | gretelai_synthetic_text_to_sql |
CREATE TABLE research (id INT PRIMARY KEY, company_id INT, title VARCHAR(255), lead_researcher VARCHAR(255), start_date DATE); CREATE TABLE gene (id INT PRIMARY KEY, name VARCHAR(255), function VARCHAR(255), company_id INT, research_id INT); INSERT INTO research (id, company_id, title, lead_researcher, start_date) VALU... | Who is the lead researcher for the project with the most genes involved? | SELECT lead_researcher FROM research r JOIN gene g ON r.id = g.research_id GROUP BY r.id HAVING COUNT(g.id) = (SELECT MAX(research_gene_count) FROM (SELECT research_id, COUNT(*) AS research_gene_count FROM gene GROUP BY research_id) research_genes); | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_impact (city VARCHAR(100), year INT, local_economic_impact INT); INSERT INTO tourism_impact (city, year, local_economic_impact) VALUES ('Paris', 2020, 12000000); INSERT INTO tourism_impact (city, year, local_economic_impact) VALUES ('London', 2020, 10000000); INSERT INTO tourism_impact (city, year,... | What is the local economic impact of tourism in New Delhi in 2020? | SELECT local_economic_impact FROM tourism_impact WHERE city = 'New Delhi' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE marcellus_shale_gas_production (well VARCHAR(255), year INT, production FLOAT); | What is the average gas production per well in the Marcellus Shale for 2020? | SELECT AVG(production) FROM marcellus_shale_gas_production WHERE well LIKE '%Marcellus Shale%' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE game_sessions (user_id INT, game_name VARCHAR(10), login_date DATE); INSERT INTO game_sessions (user_id, game_name, login_date) VALUES (1, 'A', '2021-01-01'), (2, 'B', '2021-01-02'), (3, 'B', '2021-01-03'), (4, 'C', '2021-01-04'), (5, 'A', '2021-01-05'), (6, 'D', '2021-01-06'), (7, 'D', '2021-01-07'); | List all unique users who played any game in the first week of January 2021 | SELECT DISTINCT user_id FROM game_sessions WHERE login_date BETWEEN '2021-01-01' AND '2021-01-07'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SalesByMaterial (SaleID INT, Material VARCHAR(50), Sales DECIMAL(5,2)); INSERT INTO SalesByMaterial (SaleID, Material, Sales) VALUES (1, 'Organic Cotton', 1200.50), (2, 'Hemp', 752.20), (3, 'Recycled Polyester', 986.60), (4, 'Tencel', 310.10); | What is the percentage of sales by ethical material? | SELECT Material, ROUND(SUM(Sales) / (SELECT SUM(Sales) FROM SalesByMaterial) * 100, 2) AS Percentage FROM SalesByMaterial GROUP BY Material; | gretelai_synthetic_text_to_sql |
CREATE TABLE timber_production(year INT, volume INT); INSERT INTO timber_production(year, volume) VALUES (2018, 5000), (2019, 5500), (2020, 6000); | What is the total volume of timber production for each year? | SELECT year, SUM(volume) FROM timber_production GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_facilities (id INT, name VARCHAR, location VARCHAR); INSERT INTO mental_health_facilities (id, name, location) VALUES (1, 'Facility One', 'Urban'); INSERT INTO mental_health_facilities (id, name, location) VALUES (2, 'Facility Two', 'Rural'); | What is the total number of mental health facilities in urban areas? | SELECT COUNT(*) as total_facilities FROM mental_health_facilities WHERE location = 'Urban'; | gretelai_synthetic_text_to_sql |
CREATE TABLE funding (id INT, program_id INT, source VARCHAR(255), amount DECIMAL(10, 2), date DATE); | Which art programs received funding from the 'NEA' source since 2018? | SELECT f.program_id, p.name, f.source, f.amount FROM funding f INNER JOIN programs p ON f.program_id = p.id WHERE f.source = 'NEA' AND f.date >= '2018-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE budgets_program (budget_id INT, program TEXT, allocated_amount DECIMAL); INSERT INTO budgets_program (budget_id, program, allocated_amount) VALUES (1, 'Program B', 10000.00), (2, 'Program C', 7500.00), (3, 'Program B', 2500.00), (4, 'Program C', 1500.00); | What is the total budget allocated to program B and program C? | SELECT SUM(allocated_amount) FROM budgets_program WHERE program IN ('Program B', 'Program C'); | gretelai_synthetic_text_to_sql |
CREATE TABLE workplaces (id INT, name TEXT, safety_violation BOOLEAN, union_affiliation TEXT); INSERT INTO workplaces (id, name, safety_violation, union_affiliation) VALUES (1, 'ABC Company', TRUE, 'Union A'), (2, 'XYZ Corporation', FALSE, 'Union B'), (3, 'LMN Industries', TRUE, 'Union A'); | Delete all records of workplaces with a specific union affiliation. | DELETE FROM workplaces WHERE union_affiliation = 'Union A'; | gretelai_synthetic_text_to_sql |
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