context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE rural_infrastructure (id INT, country VARCHAR(255), sector VARCHAR(255), allocated_budget INT, year INT); INSERT INTO rural_infrastructure (id, country, sector, allocated_budget, year) VALUES (1, 'Bangladesh', 'Transport', 1000000, 2019), (2, 'Bangladesh', 'Education', 500000, 2019), (3, 'India', 'Healthca... | Infrastructure budget allocation for rural development initiatives, by country and sector, for the year 2019? | SELECT country, sector, SUM(allocated_budget) as total_allocated_budget FROM rural_infrastructure WHERE year = 2019 GROUP BY country, sector; | gretelai_synthetic_text_to_sql |
CREATE TABLE brands (id INT, name VARCHAR(50), uses_organic_cotton BOOLEAN); CREATE TABLE reviews (id INT, brand_id INT, rating INT, review TEXT); INSERT INTO brands (id, name, uses_organic_cotton) VALUES (1, 'Brand A', true), (2, 'Brand B', false), (3, 'Brand C', true); INSERT INTO reviews (id, brand_id, rating, revie... | List all consumer reviews of brands that use organic cotton? | SELECT r.rating, r.review FROM brands b INNER JOIN reviews r ON b.id = r.brand_id WHERE b.uses_organic_cotton = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE fares (zone TEXT, fare DECIMAL(5,2), effective_date DATE); | Update the 'fare' column in the 'fares' table for 'Zone 1' to $2.50 | UPDATE fares SET fare = 2.50 WHERE zone = 'Zone 1'; | gretelai_synthetic_text_to_sql |
CREATE TABLE netflix_productions (id INT, title VARCHAR(255), year INT, production_budget INT, revenue INT); INSERT INTO netflix_productions (id, title, year, production_budget, revenue) VALUES (1, 'Stranger Things', 2019, 25000000, 242000000), (2, 'The Crown', 2019, 130000000, 134000000); | What's the total revenue of Netflix's original productions in 2019? | SELECT SUM(revenue) FROM netflix_productions WHERE year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (hotel_id INT, hotel_name TEXT, city TEXT, rating FLOAT, ai_adoption BOOLEAN); INSERT INTO hotels (hotel_id, hotel_name, city, rating, ai_adoption) VALUES (1, 'Hotel A', 'Tokyo', 4.5, true), (2, 'Hotel B', 'Seoul', 4.2, false), (3, 'Hotel C', 'Tokyo', 4.7, true); | What is the total number of hotels that have adopted AI technology and are located in Tokyo or Seoul? | SELECT COUNT(*) FROM hotels WHERE ai_adoption = true AND city IN ('Tokyo', 'Seoul'); | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor INT, donation FLOAT, donation_date DATE); INSERT INTO donations (id, donor, donation, donation_date) VALUES (1, 1, 500.00, '2018-01-01'), (2, 1, 750.00, '2019-01-01'), (3, 2, 1000.00, '2019-01-01'), (4, 2, 1500.00, '2020-01-01'); | List all donors who have donated over $1000 in total and their corresponding total donation amounts. | SELECT donor, SUM(donation) AS total_donations FROM donations GROUP BY donor HAVING total_donations > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE international_visitors (visitor_id INT, destination_id INT, num_visitors INT, carbon_footprint FLOAT); INSERT INTO international_visitors (visitor_id, destination_id, num_visitors, carbon_footprint) VALUES (7, 7, 20000, 1.2); INSERT INTO international_visitors (visitor_id, destination_id, num_visitors, car... | What is the average carbon footprint of tourists visiting destinations in Africa? | SELECT AVG(carbon_footprint) FROM international_visitors i INNER JOIN destinations d ON i.destination_id = d.destination_id WHERE d.country_id IN (SELECT country_id FROM countries WHERE continent = 'Africa'); | gretelai_synthetic_text_to_sql |
CREATE TABLE WastewaterTreatmentPlants (ID INT, State VARCHAR(20), Efficiency FLOAT); INSERT INTO WastewaterTreatmentPlants (ID, State, Efficiency) VALUES (17, 'Ohio', 0.85), (18, 'Ohio', 0.87), (19, 'Ohio', 0.83), (20, 'Ohio', 0.88); | What is the minimum wastewater treatment plant efficiency in the state of Ohio? | SELECT MIN(Efficiency) FROM WastewaterTreatmentPlants WHERE State = 'Ohio' | gretelai_synthetic_text_to_sql |
CREATE TABLE broadband_subscribers (subscriber_id INT, regional_office VARCHAR(20)); INSERT INTO broadband_subscribers (subscriber_id, regional_office) VALUES (1, 'Boston'), (2, 'Boston'), (3, 'NYC'), (4, 'NYC'), (5, 'NYC'); | How many broadband customers does the NYC regional office have? | SELECT COUNT(*) FROM broadband_subscribers WHERE regional_office = 'NYC'; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (tour_id INT, country VARCHAR(255), engagement_date DATE); INSERT INTO virtual_tours (tour_id, country, engagement_date) VALUES (1, 'France', '2022-03-05'), (2, 'France', '2022-03-10'), (3, 'Germany', '2022-03-12'); | How many virtual tours were engaged in France last month? | SELECT COUNT(*) FROM virtual_tours WHERE country = 'France' AND engagement_date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE HealthcareProviders (ProviderID INT, CulturalCompetencyScore INT, PatientSatisfactionScore INT); INSERT INTO HealthcareProviders (ProviderID, CulturalCompetencyScore, PatientSatisfactionScore) VALUES (1, 85, 9); INSERT INTO HealthcareProviders (ProviderID, CulturalCompetencyScore, PatientSatisfactionScore)... | What is the correlation between cultural competency scores and patient satisfaction scores? | SELECT CORR(CulturalCompetencyScore, PatientSatisfactionScore) FROM HealthcareProviders; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists genetics;CREATE TABLE if not exists genetics.research_projects(id INT, name TEXT, location TEXT, type TEXT);INSERT INTO genetics.research_projects (id, name, location, type) VALUES (1, 'ProjectX', 'USA', 'Genetic'), (2, 'ProjectY', 'USA', 'Genomic'), (3, 'ProjectZ', 'Canada', 'Genomic'); | Which genetic research projects in the US focus on genomic sequencing? | SELECT name FROM genetics.research_projects WHERE location = 'USA' AND type = 'Genomic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, name VARCHAR(50), department VARCHAR(20), salary DECIMAL(10, 2)); INSERT INTO employees (id, name, department, salary) VALUES (1, 'John Doe', 'manufacturing', 50000.00), (2, 'Jane Smith', 'engineering', 60000.00), (3, 'Alice Johnson', 'HR', 55000.00), (4, 'Bob Brown', 'quality control', ... | What is the minimum salary paid to an employee in the 'engineering' department? | SELECT MIN(salary) FROM employees WHERE department = 'engineering'; | gretelai_synthetic_text_to_sql |
CREATE TABLE unions (id INT, name TEXT, cba_expiration_year INT); INSERT INTO unions (id, name, cba_expiration_year) VALUES (1, 'Union A', 2023), (2, 'Union B', 2024), (3, 'Union C', 2023); | Which unions have collective bargaining agreements expiring in 2023? | SELECT name FROM unions WHERE cba_expiration_year = 2023; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_profile (user_id INT, age INT, PRIMARY KEY (user_id)); INSERT INTO user_profile (user_id, age) VALUES (1, 55), (2, 45), (3, 60); CREATE TABLE activity_log (log_id INT, user_id INT, activity_name VARCHAR(20), duration INT, log_date DATE, PRIMARY KEY (log_id), FOREIGN KEY (user_id) REFERENCES user_profi... | Identify the top 3 fitness activities with the highest total time spent by users aged 50 or older, in descending order, for the past 30 days. | SELECT activity_name, SUM(duration) as total_duration FROM activity_log JOIN user_profile ON activity_log.user_id = user_profile.user_id WHERE user_profile.age >= 50 AND log_date >= DATE(NOW()) - INTERVAL 30 DAY GROUP BY activity_name ORDER BY total_duration DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE baseball_attendance (fan_id INT, game_date DATE, team VARCHAR(50)); INSERT INTO baseball_attendance (fan_id, game_date, team) VALUES (1, '2022-06-01', 'Red Sox'), (2, '2022-06-01', 'Red Sox'), (3, '2022-06-02', 'Yankees'), (4, '2022-06-03', 'Red Sox'), (5, '2022-06-04', 'Yankees'); | How many unique fans attended baseball games in the last 30 days, broken down by team? | SELECT team, COUNT(DISTINCT fan_id) FROM baseball_attendance WHERE game_date >= CURDATE() - INTERVAL 30 DAY GROUP BY team; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_orbits (id INT, name VARCHAR(255), orbit_type VARCHAR(255)); CREATE VIEW molniya_satellites AS SELECT * FROM satellite_orbits WHERE orbit_type = 'Molniya'; | How many satellites are in the Molniya orbit? | SELECT COUNT(*) FROM molniya_satellites; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouse (id INT, name VARCHAR(20), city VARCHAR(20)); INSERT INTO Warehouse (id, name, city) VALUES (1, 'Buenos Aires Warehouse', 'Buenos Aires'); CREATE TABLE Packages (id INT, warehouse_id INT, delivery_time INT, status VARCHAR(20)); INSERT INTO Packages (id, warehouse_id, delivery_time, status) VALUES... | What is the maximum delivery time for packages shipped from 'Buenos Aires' warehouse? | SELECT MAX(delivery_time) FROM Packages WHERE warehouse_id = (SELECT id FROM Warehouse WHERE city = 'Buenos Aires') AND status = 'shipped'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_mammals (species TEXT, population REAL, biomass REAL); INSERT INTO marine_mammals (species, population, biomass) VALUES ('Beluga Whale', 15000, 250000), ('Narwhal', 10000, 300000); | What is the total biomass of marine mammals in the Arctic Ocean? | SELECT SUM(biomass) FROM marine_mammals WHERE species IN ('Beluga Whale', 'Narwhal', 'Bowhead Whale'); | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryBases (Country VARCHAR(50), NumberOfBases INT); INSERT INTO MilitaryBases (Country, NumberOfBases) VALUES ('France', 50), ('Germany', 40), ('Italy', 35), ('Spain', 30), ('Poland', 25), ('Ukraine', 20); | What is the average number of military bases in each European country, excluding microstates? | SELECT AVG(NumberOfBases) FROM MilitaryBases WHERE Country IN ('France', 'Germany', 'Italy', 'Spain', 'Poland', 'Ukraine'); | gretelai_synthetic_text_to_sql |
CREATE TABLE communities_languages (id INT, community_name VARCHAR, language VARCHAR); INSERT INTO communities_languages VALUES (1, 'First Nations', 'Cree'); | List the unique indigenous communities and their languages in the Arctic region. | SELECT DISTINCT community_name, language FROM communities_languages; | gretelai_synthetic_text_to_sql |
CREATE TABLE tech_salaries (position VARCHAR(50), employee_name VARCHAR(50), salary INTEGER, company_location VARCHAR(50)); | What is the minimum salary for data scientists in 'tech_salaries' table? | SELECT MIN(salary) FROM tech_salaries WHERE position = 'Data Scientist'; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_initiatives (id INT PRIMARY KEY, name VARCHAR(50), location VARCHAR(50), budget DECIMAL(10,2));CREATE VIEW v_highest_budget_initiatives AS SELECT gi.name, gi.location, gi.budget FROM green_initiatives gi WHERE gi.location LIKE 'Southeast%'; | List the top 3 green initiatives with the highest budget in Southeast Asia, ordered by budget. | SELECT * FROM v_highest_budget_initiatives ORDER BY budget DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE music (id INT, title VARCHAR(255), artist VARCHAR(255), genre VARCHAR(50), play_count INT); INSERT INTO music (id, title, artist, genre, play_count) VALUES (1, 'SongA', 'ArtistA', 'Pop', 2000000); INSERT INTO music (id, title, artist, genre, play_count) VALUES (2, 'SongB', 'ArtistB', 'Rock', 3000000); INSE... | What are the top 3 most popular music genres by total plays? | SELECT genre, SUM(play_count) as total_plays FROM music GROUP BY genre ORDER BY total_plays DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_sites (site_id INT, site_name VARCHAR(255)); CREATE TABLE mining_activities (activity_id INT, site_id INT, activity_date DATE); INSERT INTO mining_sites (site_id, site_name) VALUES (1, 'Site A'), (2, 'Site B'), (3, 'Site C'); INSERT INTO mining_activities (activity_id, site_id, activity_date) VALUES... | Find the total number of mining activities for each mining site, ordered by the total number of activities | SELECT s.site_name, COUNT(a.activity_id) as total_activities FROM mining_sites s INNER JOIN mining_activities a ON s.site_id = a.site_id GROUP BY s.site_name ORDER BY total_activities DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, region VARCHAR(20), financial_wellbeing_score DECIMAL(3, 1)); INSERT INTO customers (customer_id, region, financial_wellbeing_score) VALUES (1, 'Northeast', 6.5), (2, 'Midwest', 7.2), (3, 'West', 8.5); | How many customers have a financial wellbeing score greater than 8? | SELECT COUNT(*) FROM customers WHERE financial_wellbeing_score > 8; | gretelai_synthetic_text_to_sql |
CREATE TABLE digital_sales (sale_id INT, song_id INT, release_year INT, platform_id INT); | What is the total number of songs released per year and platform, based on the 'release_year' column in the 'song' table and the 'platform' column in the 'digital_sales' table? | SELECT ds.release_year, ds.platform_id, COUNT(ds.song_id) AS songs_released FROM digital_sales ds GROUP BY ds.release_year, ds.platform_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_operations (id INT, name VARCHAR(50), num_employees INT, hire_date DATE); INSERT INTO mining_operations (id, name, num_employees, hire_date) VALUES (1, 'Gold Rush Inc.', 100, '2022-01-01'), (2, 'Gold Rush Inc.', 101, '2022-02-01'), (3, 'Gold Rush Inc.', 102, '2022-03-01'), (4, 'Silver Strike Ltd.', ... | What is the number of employees hired each month in the 'mining_operations' table? | SELECT EXTRACT(MONTH FROM hire_date), COUNT(*) FROM mining_operations GROUP BY EXTRACT(MONTH FROM hire_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_city_tech (tech_id INT, tech_name VARCHAR(30), city VARCHAR(20), population INT); INSERT INTO smart_city_tech (tech_id, tech_name, city, population) VALUES (1, 'Smart Grids', 'Buenos Aires', 3000000), (2, 'Smart Lighting', 'Rio de Janeiro', 6500000), (3, 'Smart Traffic Management', 'Santiago', 250000... | List all smart city technology adoptions in the South American cities with a population greater than 2 million. | SELECT tech_name, city FROM smart_city_tech WHERE population > 2000000 AND city IN ('Buenos Aires', 'Rio de Janeiro', 'Santiago'); | gretelai_synthetic_text_to_sql |
CREATE TABLE network_investments (investment_id INT, investment_date DATE, country VARCHAR(50), investment_amount DECIMAL(5,2)); | What is the average network investment in each country over the past year? | SELECT country, AVG(investment_amount) as avg_investment FROM network_investments WHERE YEAR(investment_date) = YEAR(current_date) - 1 GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE retail_stores (store_id INT, store_name VARCHAR(255)); INSERT INTO retail_stores (store_id, store_name) VALUES (1, 'Store A'), (2, 'Store B'), (3, 'Store C'); CREATE TABLE sales (sale_id INT, store_id INT, sale_date DATE, revenue DECIMAL(10, 2)); INSERT INTO sales (sale_id, store_id, sale_date, revenue) VA... | What is the total revenue for each retail store in the month of January 2022? | SELECT s.store_id, SUM(s.revenue) AS total_revenue FROM sales s WHERE EXTRACT(MONTH FROM s.sale_date) = 1 GROUP BY s.store_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainableMaterials (material_name TEXT, continent TEXT, quantity INT); INSERT INTO SustainableMaterials (material_name, continent, quantity) VALUES ('Material1', 'Continent1', 500), ('Material2', 'Continent2', 700), ('Material3', 'Continent1', 300); | What is the total quantity of sustainable materials sourced from each continent? | SELECT continent, SUM(quantity) as total_quantity FROM SustainableMaterials GROUP BY continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE unions (id INT, name TEXT, location TEXT); INSERT INTO unions (id, name, location) VALUES (1, 'Union X', 'USA'), (2, 'Union Y', 'Canada'); CREATE TABLE violations (id INT, union_id INT, date DATE, violation_count INT); INSERT INTO violations (id, union_id, date, violation_count) VALUES (1, 1, '2021-02-15',... | What is the average number of labor rights violations for each union in the Americas in the last year? | SELECT u.name, AVG(v.violation_count) FROM unions u JOIN violations v ON u.id = v.union_id WHERE u.location LIKE 'Americas%' AND v.date >= DATEADD(year, -1, CURRENT_DATE) GROUP BY u.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE electric_trains (train_id INT, ride_id INT, start_time TIMESTAMP, end_time TIMESTAMP, speed FLOAT, city VARCHAR(255)); | What is the average speed of electric trains in Madrid? | SELECT AVG(speed) FROM electric_trains WHERE city = 'Madrid'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, volunteer_name VARCHAR(50), state VARCHAR(5), signup_date DATE); INSERT INTO volunteers (id, volunteer_name, state, signup_date) VALUES (1, 'Alice Johnson', 'NY', '2021-03-01'); INSERT INTO volunteers (id, volunteer_name, state, signup_date) VALUES (2, 'Bob Brown', 'CA', '2021-02-15'); | How many volunteers signed up in each state during 2021? | SELECT state, COUNT(*) as num_volunteers FROM volunteers WHERE signup_date >= '2021-01-01' AND signup_date < '2022-01-01' GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE eco_hotels (hotel_id INT, name TEXT, country TEXT, rating FLOAT); INSERT INTO eco_hotels VALUES (1, 'Eco Hotel Lisbon', 'Portugal', 4.6), (2, 'Green Hotel Barcelona', 'Spain', 4.4); | What is the average rating of eco-friendly hotels in Portugal and Spain? | SELECT AVG(rating) FROM eco_hotels WHERE country IN ('Portugal', 'Spain'); | gretelai_synthetic_text_to_sql |
CREATE TABLE WindFarms (WindFarmID INT, Name VARCHAR(255), State VARCHAR(255), ConstructionDate DATE, PowerGenerationCapacity INT, WindTurbineCount INT); INSERT INTO WindFarms VALUES (1, 'Wind Farm A', 'Texas', '2010-05-15', 50, 10); INSERT INTO WindFarms VALUES (2, 'Wind Farm B', 'Oklahoma', '2012-02-23', 60, 12); INS... | List the names, locations, and construction dates of all wind farms in Texas and Oklahoma, along with their respective power generation capacities and the number of wind turbines. | SELECT Name, Location, ConstructionDate, PowerGenerationCapacity, WindTurbineCount FROM WindFarms WHERE State IN ('Texas', 'Oklahoma'); | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_projects (project_name VARCHAR(50), location VARCHAR(50), start_year INT, budget INT, sector VARCHAR(50)); INSERT INTO climate_projects (project_name, location, start_year, budget, sector) VALUES ('Solar Farm A', 'China', 2017, 1000000, 'Solar'), ('Wind Farm B', 'India', 2018, 1500000, 'Wind'); | List all climate mitigation projects in Asia that were started after 2015 and their respective budgets. | SELECT project_name, location, budget FROM climate_projects WHERE location IN ('Asia') AND start_year > 2015 AND sector = 'Climate Mitigation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (id INT, client_id INT, transaction_amount DECIMAL(10,2), transaction_date DATE); INSERT INTO transactions (id, client_id, transaction_amount, transaction_date) VALUES (1, 1, 500.00, '2022-01-01'), (2, 2, 800.00, '2022-01-02'), (3, 1, 1200.00, '2022-01-03'); CREATE TABLE clients (id INT, name ... | What is the average transaction amount for each client? | SELECT clients.id, clients.name, AVG(transactions.transaction_amount) FROM clients INNER JOIN transactions ON clients.id = transactions.client_id GROUP BY clients.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (building_id INT, building_name VARCHAR(255), state VARCHAR(255), certification_level VARCHAR(255), carbon_offset_tons INT); | List the green building certifications and their carbon offset values for buildings in the state of New York. | SELECT certification_level, carbon_offset_tons FROM green_buildings WHERE state = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id int, product_name varchar(255), transparency_score float); INSERT INTO products (product_id, product_name, transparency_score) VALUES (1, 'Product A', 8.5), (2, 'Product B', 9.2), (3, 'Product C', 7.8); | Which products have the highest transparency score? | SELECT product_name, transparency_score FROM products ORDER BY transparency_score DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Factory_Demographics (id INT, factory_id INT, position VARCHAR(255), gender VARCHAR(255), workers INT); INSERT INTO Factory_Demographics (id, factory_id, position, gender, workers) VALUES (1, 1001, 'Management', 'Female', 150), (2, 1002, 'Management', 'Female', 200); | Which factories have a higher percentage of women in management positions compared to the industry average? | SELECT factory_id, ((workers / (SELECT SUM(workers) FROM Factory_Demographics WHERE position = 'Management')) * 100) as women_management_percentage FROM Factory_Demographics WHERE gender = 'Female' AND position = 'Management'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT PRIMARY KEY AUTO_INCREMENT, Name VARCHAR(100));CREATE TABLE Albums (AlbumID INT PRIMARY KEY AUTO_INCREMENT, Title VARCHAR(100), ArtistID INT, FOREIGN KEY (ArtistID) REFERENCES Artists(ArtistID)); | Delete the artist 'John Smith' if they don't have any albums | DELETE FROM Artists WHERE ArtistID NOT IN (SELECT ArtistID FROM Albums); | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT, timestamp TIMESTAMP, category VARCHAR(255), vulnerability VARCHAR(255), severity INT); INSERT INTO vulnerabilities (id, timestamp, category, vulnerability, severity) VALUES (1, '2022-01-01 10:00:00', 'Web Applications', 'SQL Injection', 8), (2, '2022-01-01 10:00:00', 'Network Infra... | Calculate the average severity score for each vulnerability category in the last year. | SELECT category, AVG(severity) as avg_severity FROM vulnerabilities WHERE timestamp >= DATE_SUB(CURRENT_TIMESTAMP, INTERVAL 1 YEAR) GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE union_members (id INT, name VARCHAR(50), occupation VARCHAR(50), union_member BOOLEAN, salary FLOAT); INSERT INTO union_members (id, name, occupation, union_member, salary) VALUES (1, 'Sofia Garcia', 'Engineer', true, 82000.00), (2, 'Jose Hernandez', 'Engineer', false, 75000.00), (3, 'Maria Rodriguez', 'Cl... | Delete all records with union_member set to false from the 'union_members' table | DELETE FROM union_members WHERE union_member = false; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (id INT, name TEXT, country TEXT, amount DECIMAL(10,2)); INSERT INTO Donations (id, name, country, amount) VALUES (1, 'Raj Patel', 'India', 500), (2, 'Min Lee', 'China', 1000), (3, 'Park Kim', 'South Korea', 750), (4, 'Nguyen Tran', 'Vietnam', 800); | Find the names and donation amounts of the top 3 donors from each country in the Donations table. | SELECT name, amount, country FROM (SELECT name, amount, country, ROW_NUMBER() OVER (PARTITION BY country ORDER BY amount DESC) AS rn FROM Donations) AS TopDonorsPerCountry WHERE rn <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE tb_cases (patient_id INT, state VARCHAR(255), year INT, confirmed BOOLEAN); INSERT INTO tb_cases (patient_id, state, year, confirmed) VALUES (1, 'CA', 2020, TRUE), (2, 'CA', 2019, FALSE), (3, 'NY', 2020, TRUE); | How many confirmed TB cases were there in California in 2020? | SELECT COUNT(*) FROM tb_cases WHERE state = 'CA' AND year = 2020 AND confirmed = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Labor_Rights (sector VARCHAR(20), violation_reported BOOLEAN); INSERT INTO Labor_Rights (sector, violation_reported) VALUES ('Healthcare', true), ('Healthcare', false), ('Education', true); | How many labor rights violations have been reported in the healthcare sector? | SELECT SUM(violation_reported) as total_violations FROM Labor_Rights WHERE sector = 'Healthcare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE us_gulf_of_mexico_gas_production (well VARCHAR(255), year INT, production FLOAT); | List the top 5 wells with highest gas production in the US Gulf of Mexico. | SELECT well, production FROM us_gulf_of_mexico_gas_production WHERE year = 2020 ORDER BY production DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE worker_salaries (id INT, region VARCHAR(255), salary INT); INSERT INTO worker_salaries (id, region, salary) VALUES (1, 'North', 50000), (2, 'South', 55000), (3, 'East', 60000), (4, 'West', 70000); | What is the average salary for workers in the 'East' region? | SELECT AVG(salary) FROM worker_salaries WHERE region = 'East'; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, country VARCHAR(20)); INSERT INTO patients (id, country) VALUES (1, 'USA'), (2, 'Canada'); CREATE TABLE counseling (id INT, patient_id INT); INSERT INTO counseling (id, patient_id) VALUES (1, 1), (2, 2); | What is the number of patients in the USA who received counseling? | SELECT COUNT(*) FROM patients INNER JOIN counseling ON patients.id = counseling.patient_id WHERE patients.country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE food_safety_inspections (record_id INT, inspection_date DATE, cuisine VARCHAR(255), violation_count INT); INSERT INTO food_safety_inspections (record_id, inspection_date, cuisine, violation_count) VALUES (1, '2022-01-01', 'Italian', 3), (2, '2022-01-15', 'Mexican', 0); | Insert a new food safety inspection record for 'French' cuisine with a violation count of 1 | INSERT INTO food_safety_inspections (record_id, inspection_date, cuisine, violation_count) VALUES (3, '2022-03-01', 'French', 1); | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name VARCHAR(50), founder_race VARCHAR(50)); CREATE TABLE investment_round (id INT, company_id INT, round_amount INT); INSERT INTO company (id, name, founder_race) VALUES (1, 'TechX', 'Black'); INSERT INTO investment_round (id, company_id, round_amount) VALUES (1, 1, 2000000); INSERT INTO ... | What is the maximum investment round for startups founded by Black individuals? | SELECT MAX(ir.round_amount) AS max_investment_round FROM company c JOIN investment_round ir ON c.id = ir.company_id WHERE c.founder_race = 'Black'; | gretelai_synthetic_text_to_sql |
CREATE TABLE union_safety (id INT, union_name TEXT, state TEXT, involved_in_safety BOOLEAN); INSERT INTO union_safety (id, union_name, state, involved_in_safety) VALUES (1, 'Union M', 'Arizona', true), (2, 'Union N', 'Arizona', false), (3, 'Union O', 'Arizona', true); | What is the difference in the number of members between unions that are involved in workplace safety and those that are not in Arizona? | SELECT SUM(involved_in_safety) - SUM(NOT involved_in_safety) FROM union_safety WHERE state = 'Arizona'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (id INT, volunteer_name VARCHAR(50), city VARCHAR(50), signup_date DATE); INSERT INTO Volunteers (id, volunteer_name, city, signup_date) VALUES (1, 'Jane Smith', 'New York', '2022-01-01'), (2, 'John Doe', 'Los Angeles', '2022-02-01'), (3, 'Bob Johnson', 'Chicago', '2022-03-01'), (4, 'Alice Willi... | What is the number of unique volunteers by city? | SELECT city, COUNT(DISTINCT volunteer_name) as num_unique_volunteers FROM Volunteers GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE Market_Share (id INT, vehicle_type VARCHAR(255), market_share DECIMAL(4,2), country VARCHAR(50), year INT); INSERT INTO Market_Share (id, vehicle_type, market_share, country, year) VALUES (1, 'Electric Vehicles', 25.5, 'South Korea', 2020); INSERT INTO Market_Share (id, vehicle_type, market_share, country,... | What is the market share percentage of electric vehicles in South Korea in 2020? | SELECT market_share FROM Market_Share WHERE country = 'South Korea' AND year = 2020 AND vehicle_type = 'Electric Vehicles'; | gretelai_synthetic_text_to_sql |
CREATE TABLE missions (id INT, name VARCHAR(50), agency VARCHAR(50), start_date DATE, end_date DATE); INSERT INTO missions (id, name, agency, start_date, end_date) VALUES (1, 'Gaia', 'ESA', '2013-12-19', 'ONGOING'); INSERT INTO missions (id, name, agency, start_date, end_date) VALUES (2, 'CHEOPS', 'ESA', '2019-12-18', ... | What is the maximum discovery date of exoplanets found by ESA missions? | SELECT MAX(discovery_date) FROM exoplanets INNER JOIN missions ON exoplanets.mission = missions.name WHERE missions.agency = 'ESA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MicroTransactions (TransactionID INT, PlayerID INT, Amount FLOAT, Game VARCHAR(50)); INSERT INTO MicroTransactions (TransactionID, PlayerID, Amount, Game) VALUES (1, 1, 20, 'PUBG'); INSERT INTO MicroTransactions (TransactionID, PlayerID, Amount, Game) VALUES (2, 2, 30, 'PUBG'); INSERT INTO MicroTransaction... | What is the sum of all microtransactions made by players from Africa in PUBG? | SELECT Continent, SUM(Amount) as TotalMicroTransactions FROM MicroTransactions JOIN Players ON MicroTransactions.PlayerID = Players.PlayerID WHERE Game = 'PUBG' AND Continent = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE FlightData (Airport VARCHAR(20), FlightNumber VARCHAR(20), Delay INT); INSERT INTO FlightData (Airport, FlightNumber, Delay) VALUES ('LAX', 'UA123', 10), ('JFK', 'DL456', 20), ('Heathrow', 'BA789', 30), ('LAX', 'UA987', 40); | Identify the airports with the longest average flight delay. | SELECT Airport, AVG(Delay) AS AvgDelay FROM FlightData GROUP BY Airport ORDER BY AvgDelay DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE endangered_marine_species (id INT, species TEXT); INSERT INTO endangered_marine_species (id, species) VALUES (1, 'Blue Whale'), (2, 'Fin Whale'), (3, 'Hawksbill Turtle'), (4, 'Green Sea Turtle'), (5, 'Leatherback Turtle'); | how many species are there in the 'Endangered Marine Species' list? | SELECT COUNT(*) FROM endangered_marine_species; | gretelai_synthetic_text_to_sql |
CREATE TABLE industry_threats (industry VARCHAR(255), threat_type VARCHAR(255), num_successful_attacks INT); | Compare the cybersecurity threats faced by different industries and the number of successful attacks they have experienced. | SELECT industry, threat_type, SUM(num_successful_attacks) as total_attacks FROM industry_threats GROUP BY industry, threat_type ORDER BY total_attacks DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE audience_preferences (id INT, audience_id INT, category TEXT, preference TEXT); | Insert a new record into the "audience_preferences" table with the following details: id 6, audience_id 2, category "Politics", preference "Likes reading about local politics" | INSERT INTO audience_preferences (id, audience_id, category, preference) VALUES (6, 2, 'Politics', 'Likes reading about local politics'); | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (client_id INT, name TEXT, region TEXT, transaction_amount DECIMAL); INSERT INTO clients (client_id, name, region, transaction_amount) VALUES (1, 'John Doe', 'Asia', 500.00); INSERT INTO clients (client_id, name, region, transaction_amount) VALUES (2, 'Jane Smith', 'Europe', 600.00); INSERT INTO cl... | Find the client_id of the client who has the highest transaction amount in each region. | SELECT client_id, region FROM (SELECT client_id, region, transaction_amount, ROW_NUMBER() OVER (PARTITION BY region ORDER BY transaction_amount DESC) AS rank FROM clients) AS ranked_clients WHERE rank = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, name VARCHAR(50), department VARCHAR(50), role VARCHAR(50)); INSERT INTO employees (id, name, department, role) VALUES (1, 'John Doe', 'hr', 'employee'), (2, 'Jane Smith', 'hr', 'manager'), (3, 'Bob Johnson', 'operations', 'employee'), (4, 'Alice', 'it', 'employee'), (5, 'Eli', 'research... | Update the role of employee with id 4 to 'senior employee'. | UPDATE employees SET role = 'senior employee' WHERE id = 4; | gretelai_synthetic_text_to_sql |
CREATE TABLE veg_dishes (dish_id INT, name VARCHAR(50), protein_content DECIMAL(3,2), fiber_content DECIMAL(3,2)); INSERT INTO veg_dishes VALUES (1, 'Vegetarian Chili', 15.5, 8.5); INSERT INTO veg_dishes VALUES (2, 'Vegetable Curry', 12.3, 6.2); CREATE TABLE cafe_locations (dish_id INT, location VARCHAR(50)); INSERT IN... | Find the average protein and fiber content for vegetarian dishes in 'Plant-Powered Cafe'? | SELECT AVG(vd.protein_content), AVG(vd.fiber_content) FROM veg_dishes vd JOIN cafe_locations cl ON vd.dish_id = cl.dish_id WHERE cl.location = 'Plant-Powered Cafe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Community_Budgets AS SELECT 10000 AS budget UNION SELECT 12000; | What is the minimum budget for any community education program? | SELECT MIN(budget) FROM Community_Budgets; | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (well_id INT, well_name VARCHAR(255), region VARCHAR(255), production FLOAT); | Delete records in the 'wells' table where the 'region' is 'Gulf of Mexico' | DELETE FROM wells WHERE region = 'Gulf of Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE grants (id INT, org_id INT, amount INT, date DATE, purpose VARCHAR(30)); INSERT INTO grants (id, org_id, amount, date, purpose) VALUES (1, 1, 10000, '2023-03-01', 'capacity building'), (2, 2, 5000, '2022-12-15', 'program delivery'), (3, 3, 7500, '2023-02-05', 'fundraising'), (4, 1, 15000, '2022-05-15', 'ca... | What is the total amount of grants awarded for capacity building in the last 2 years? | SELECT SUM(amount) FROM grants WHERE purpose = 'capacity building' AND date >= DATEADD(year, -2, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (id INT, practice_area VARCHAR(255), billing_amount DECIMAL(10,2)); INSERT INTO cases (id, practice_area, billing_amount) VALUES (1, 'Civil', 5000.00), (2, 'Criminal', 3000.00), (3, 'Civil', 7000.00), (4, 'Civil', 6000.00), (5, 'Criminal', 4000.00); | What is the average billing amount for cases in the 'Civil' practice area? | SELECT AVG(billing_amount) FROM cases WHERE practice_area = 'Civil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE properties (id INT, coowners INT, sustainability_rating FLOAT); INSERT INTO properties (id, coowners, sustainability_rating) VALUES (1, 2, 80.5), (2, 1, 60.0); | What is the maximum sustainability rating in areas with co-owned properties? | SELECT MAX(sustainability_rating) FROM properties WHERE coowners > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE DispensaryViolations (id INT, state VARCHAR(50), year INT, num_violations INT); INSERT INTO DispensaryViolations (id, state, year, num_violations) VALUES (1, 'Oregon', 2019, 50), (2, 'Oregon', 2018, 40), (3, 'California', 2019, 60), (4, 'California', 2018, 50); | What was the total number of violations by dispensaries in the state of Oregon in 2019? | SELECT SUM(num_violations) FROM DispensaryViolations WHERE state = 'Oregon' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE disinformation (id INT, incident_date DATE, incident_type VARCHAR(20)); INSERT INTO disinformation (id, incident_date, incident_type) VALUES (1, '2021-07-01', 'fake news'), (2, '2021-08-15', 'propaganda'), (3, '2021-09-30', 'manipulated media'); | What is the total number of disinformation incidents in the last 6 months, by type? | SELECT incident_type, COUNT(*) AS count FROM disinformation WHERE incident_date >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH) GROUP BY incident_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE City (id INT, name VARCHAR(50), budget FLOAT); INSERT INTO City (id, name, budget) VALUES (1, 'CityA', 2000000); INSERT INTO City (id, name, budget) VALUES (2, 'CityB', 3000000); INSERT INTO City (id, name, budget) VALUES (3, 'CityC', 4000000); CREATE TABLE Department (id INT, city_id INT, name VARCHAR(50)... | What is the total budget for services in CityB? | SELECT SUM(s.budget) FROM Service s JOIN Department d ON s.department_id = d.id WHERE d.city_id = (SELECT id FROM City WHERE name = 'CityB'); | gretelai_synthetic_text_to_sql |
CREATE TABLE manufacturing_processes( process_id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), labor_practice_score INT); | Alter 'manufacturing_processes' table to add 'circular_supply_chain' column | ALTER TABLE manufacturing_processes ADD circular_supply_chain BOOLEAN; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (client_id INT, name VARCHAR(50), region VARCHAR(50));CREATE TABLE investments (investment_id INT, client_id INT, market VARCHAR(50), value INT);INSERT INTO clients (client_id, name, region) VALUES (1, 'John Doe', 'North America'), (2, 'Barbara Black', 'Asia');INSERT INTO investments (investment_id... | How many clients have invested in the Australian market? | SELECT COUNT(DISTINCT c.client_id) FROM clients c INNER JOIN investments i ON c.client_id = i.client_id WHERE i.market = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vendors (VendorID INT, VendorName TEXT, Country TEXT);CREATE TABLE Products (ProductID INT, ProductName TEXT, Price DECIMAL, Organic BOOLEAN, FairTrade BOOLEAN, VendorID INT); INSERT INTO Vendors VALUES (1, 'VendorH', 'Germany'), (2, 'VendorI', 'Germany'), (3, 'VendorJ', 'Germany'); INSERT INTO Products VA... | Identify the number of vendors that sell only fair trade and organic products. | SELECT COUNT(DISTINCT v.VendorID) FROM Vendors v JOIN Products p ON v.VendorID = p.VendorID WHERE p.Organic = true AND p.FairTrade = true GROUP BY v.VendorID HAVING COUNT(DISTINCT p.ProductID) = (SELECT COUNT(*) FROM Products WHERE VendorID = v.VendorID); | gretelai_synthetic_text_to_sql |
CREATE TABLE europe_safety_testing (id INT, vehicle VARCHAR(50), make VARCHAR(50), country VARCHAR(50), score INT); | Create a table for vehicle safety testing results in Europe | CREATE TABLE europe_safety_testing (id INT, vehicle VARCHAR(50), make VARCHAR(50), country VARCHAR(50), score INT); | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecrafts (spacecraft_id INT, name VARCHAR(100), launch_date DATE); INSERT INTO spacecrafts (spacecraft_id, name, launch_date) VALUES (1, 'Voyager 1', '1977-09-05'); INSERT INTO spacecrafts (spacecraft_id, name, launch_date) VALUES (2, 'Voyager 2', '1977-08-20'); INSERT INTO spacecrafts (spacecraft_id, n... | Which satellite was launched on the same day as 'Cassini'? | SELECT name FROM spacecrafts WHERE launch_date = (SELECT launch_date FROM spacecrafts WHERE name = 'Cassini'); | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_category VARCHAR(255), co2_emissions INT); | What are the product categories with zero CO2 emissions in our supply chain? | SELECT product_category FROM products WHERE co2_emissions = 0 GROUP BY product_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT PRIMARY KEY, product_name TEXT, product_type TEXT, brand_id INT, is_vegan BOOLEAN, price DECIMAL); INSERT INTO products (product_id, product_name, product_type, brand_id, is_vegan, price) VALUES (1, 'Shampoo', 'Hair Care', 1, true, 14.99), (2, 'Conditioner', 'Hair Care', 1, true, 1... | What is the maximum price of vegan hair care products? | SELECT MAX(price) FROM products WHERE product_type = 'Hair Care' AND is_vegan = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE victims (id INT, name VARCHAR(50), age INT, gender VARCHAR(10), race VARCHAR(20), ethnicity VARCHAR(20)); | Insert a new victim record into the "victims" table | INSERT INTO victims (id, name, age, gender, race, ethnicity) VALUES (1001, 'John Doe', 35, 'Male', 'Caucasian', 'Hispanic'); | gretelai_synthetic_text_to_sql |
CREATE TABLE job_postings_database (id INT, role TEXT, posting_date DATE); INSERT INTO job_postings_database (id, role, posting_date) VALUES (1, 'Diversity Officer', '2022-01-01'), (2, 'Inclusion Specialist', '2022-01-02'), (3, 'Software Engineer', '2022-01-03'); | What is the total number of diversity and inclusion roles in the job postings database? | SELECT COUNT(*) as total FROM job_postings_database WHERE role LIKE '%diversity%' OR role LIKE '%inclusion%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE committee (id INT, name VARCHAR(255)); INSERT INTO committee (id, name) VALUES (1, 'Finance'), (2, 'Transport'), (3, 'Education'); CREATE TABLE member (id INT, committee_id INT, name VARCHAR(255), gender VARCHAR(10)); INSERT INTO member (id, committee_id, name, gender) VALUES (1, 1, 'John Smith', 'Male'), ... | What are the names of the committees that have never had a female member? | SELECT c.name FROM committee c WHERE c.id NOT IN (SELECT m.committee_id FROM member m WHERE m.gender = 'Female') | gretelai_synthetic_text_to_sql |
CREATE TABLE Factories (factory_id INT, factory_location VARCHAR(50)); CREATE TABLE Orders (order_id INT, order_date DATE, factory_id INT); | Provide a list of factories in India that have not received any orders in the last 6 months. | SELECT f.factory_id, f.factory_location FROM Factories f LEFT JOIN Orders o ON f.factory_id = o.factory_id WHERE o.order_date < NOW() - INTERVAL 6 MONTH OR o.order_date IS NULL AND f.factory_location = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_stats (id INT, user_id INT, gender VARCHAR(10), heart_rate INT, activity VARCHAR(50), timestamp TIMESTAMP); INSERT INTO user_stats (id, user_id, gender, heart_rate, activity, timestamp) VALUES (1, 1001, 'female', 85, 'yoga', '2022-03-02 09:00:00'); INSERT INTO user_stats (id, user_id, gender, heart_ra... | Calculate the average heart rate for users identified as female during their yoga sessions. | SELECT AVG(heart_rate) FROM user_stats WHERE gender = 'female' AND activity = 'yoga'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Timeline (Project_ID INT, Activity VARCHAR(50), Start_Date DATE, End_Date DATE); CREATE VIEW Vancouver_Projects AS SELECT * FROM Projects WHERE City = 'Vancouver'; | Show the projects with delays of more than 30 days in Vancouver. | SELECT p.Project_ID, p.Project_Name, t.Activity, DATEDIFF(t.End_Date, t.Start_Date) as Days_Difference FROM Vancouver_Projects p INNER JOIN Timeline t ON p.Project_ID = t.Project_ID WHERE DATEDIFF(t.End_Date, t.Start_Date) > 30; | gretelai_synthetic_text_to_sql |
CREATE TABLE Astronauts (AstronautID INT, Name VARCHAR(50), Age INT, SpacecraftExperience VARCHAR(50)); INSERT INTO Astronauts (AstronautID, Name, Age, SpacecraftExperience) VALUES (1, 'John Doe', 45, 'SpaceX Dragon'); CREATE TABLE Spacecraft (SpacecraftID INT, SpacecraftName VARCHAR(50), Manufacturer VARCHAR(50)); INS... | What is the average age of astronauts who have piloted a SpaceX Dragon spacecraft? | SELECT AVG(Age) FROM Astronauts INNER JOIN Spacecraft ON Astronauts.SpacecraftExperience = Spacecraft.SpacecraftName WHERE Spacecraft.Manufacturer = 'SpaceX' AND Spacecraft.SpacecraftName = 'SpaceX Dragon'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (VesselID INT, VesselName VARCHAR(100), VesselType VARCHAR(100), PortID INT); INSERT INTO Vessels (VesselID, VesselName, VesselType, PortID) VALUES (1, 'Ever Ace', 'Container Ship', 1); CREATE TABLE Cargo (CargoID INT, CargoName VARCHAR(100), Quantity INT, VesselID INT); INSERT INTO Cargo (CargoI... | What is the total quantity of electronics transported by container ships? | SELECT SUM(Cargo.Quantity) FROM Cargo INNER JOIN Vessels ON Cargo.VesselID = Vessels.VesselID INNER JOIN VesselTypes ON Vessels.VesselType = VesselTypes.VesselType WHERE VesselTypes.VesselType = 'Container Ship' AND Cargo.CargoName = 'Electronics'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_floor_mapping_projects (project_id INT, name TEXT, start_date DATE); INSERT INTO ocean_floor_mapping_projects (project_id, name, start_date) VALUES (1, 'Mapping Project A', '2018-01-01'), (2, 'Mapping Project B', '2019-07-01'), (3, 'Mapping Project C', '2020-03-15'); | List all ocean floor mapping projects and their start dates. | SELECT name, start_date FROM ocean_floor_mapping_projects; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (id INT, artist VARCHAR(100), type VARCHAR(50), attendees INT); INSERT INTO events (id, artist, type, attendees) VALUES (1, 'Aura', 'Indigenous', 300), (2, 'Joseph', 'Non-indigenous', 400), (3, 'Kara', 'Indigenous', 350); | What was the average attendance at events organized by indigenous artists? | SELECT AVG(attendees) FROM events WHERE artist IN (SELECT artist FROM events WHERE type = 'Indigenous'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonationDate DATE, DonorState VARCHAR(2)); INSERT INTO Donors (DonorID, DonationDate, DonorState) VALUES (1, '2022-06-05', 'NY'), (2, '2022-07-02', 'CA'), (3, '2022-07-15', 'TX'); | How many new donors have donated in the last month and in which state do they reside? | SELECT COUNT(DISTINCT DonorID), DonorState FROM Donors WHERE DonationDate >= DATE_SUB(CURDATE(), INTERVAL 1 MONTH) GROUP BY DonorState; | gretelai_synthetic_text_to_sql |
CREATE TABLE state_hospitals (id INT, name TEXT, location TEXT, num_beds INT, state TEXT); INSERT INTO state_hospitals (id, name, location, num_beds, state) VALUES (1, 'Hospital A', 'Rural Texas', 200, 'Texas'), (2, 'Hospital B', 'Rural California', 250, 'California'); CREATE TABLE state_clinics (id INT, name TEXT, loc... | What is the percentage of rural hospitals in each state with less than 50 beds, and the number of clinics in those states? | SELECT s.state, 100.0 * AVG(CASE WHEN sh.num_beds < 50 THEN 1 ELSE 0 END) AS pct_hospitals_less_than_50_beds, COUNT(sc.id) AS num_clinics FROM state_hospitals sh INNER JOIN state_clinics sc ON sh.state = sc.state GROUP BY s.state; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, ethnicity VARCHAR(50), therapy_dropped BOOLEAN, medication_dropped BOOLEAN); | What is the number of patients who dropped out of therapy and medication, separated by ethnicity? | SELECT ethnicity, SUM(CASE WHEN therapy_dropped = TRUE THEN 1 ELSE 0 END) AS dropped_therapy, SUM(CASE WHEN medication_dropped = TRUE THEN 1 ELSE 0 END) AS dropped_medication FROM patients GROUP BY ethnicity; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name TEXT, is_vegan BOOLEAN, price DECIMAL, country TEXT); INSERT INTO products (product_id, product_name, is_vegan, price, country) VALUES (1, 'Lipstick', true, 15.99, 'Canada'); | Find the average price of vegan cosmetics sold in Canada. | SELECT AVG(price) FROM products WHERE is_vegan = true AND country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE incidents_by_country (id INT, country TEXT, quarter INT, year INT, incident_count INT); INSERT INTO incidents_by_country (id, country, quarter, year, incident_count) VALUES (1, 'US', 4, 2021, 50); INSERT INTO incidents_by_country (id, country, quarter, year, incident_count) VALUES (2, 'UK', 4, 2021, 40); I... | List the top 3 countries with the highest number of security incidents in Q4 of 2021. | SELECT country, incident_count FROM incidents_by_country WHERE quarter = 4 AND year = 2021 ORDER BY incident_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_routes (vehicle_id INT, route_id INT, date DATE); INSERT INTO vehicle_routes (vehicle_id, route_id, date) VALUES (101, 101, '2022-01-01'), (102, 101, '2022-01-02'), (103, 102, '2022-01-01'), (104, 102, '2022-01-02'), (105, 103, '2022-01-01'), (106, 103, '2022-01-02'), (107, 102, '2022-02-01'), (108... | How many unique vehicles have been used in route 103 over the last 30 days? | SELECT route_id, COUNT(DISTINCT vehicle_id) FROM vehicle_routes WHERE date >= CURDATE() - INTERVAL 30 DAY AND route_id = 103 GROUP BY route_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_reviews (hotel_id INT, review_date DATE, review_score INT); CREATE VIEW hotel_review_summary AS SELECT hotel_id, COUNT(*), AVG(review_score) FROM hotel_reviews GROUP BY hotel_id; | List the number of reviews for each hotel_id from the "hotel_review_summary" view | SELECT hotel_id, review_count FROM hotel_review_summary; | gretelai_synthetic_text_to_sql |
CREATE TABLE songs (id INT, title VARCHAR(255), genre VARCHAR(255), release_year INT); CREATE TABLE streams (stream_id INT, song_id INT, user_id INT, timestamp TIMESTAMP); INSERT INTO songs (id, title, genre, release_year) VALUES (1, 'Song1', 'Hip Hop', 2016), (2, 'Song2', 'Rock', 2010), (3, 'Song3', 'Hip Hop', 2015); ... | What is the total number of streams for songs with a genre of hip-hop that were released in 2015 or later? | SELECT COUNT(*) FROM streams JOIN songs ON streams.song_id = songs.id WHERE songs.genre = 'Hip Hop' AND songs.release_year >= 2015; | gretelai_synthetic_text_to_sql |
CREATE TABLE IndigenousCommunities (CommunityID int, CommunityName varchar(50), Country varchar(50)); INSERT INTO IndigenousCommunities VALUES (1, 'CommunityA', 'Ecuador'), (2, 'CommunityB', 'Brazil'), (3, 'CommunityC', 'Canada'); CREATE TABLE ExtractionData (CommunityID int, ExtractionDate date, Material varchar(10), ... | What is the total quantity of copper extracted by indigenous communities in Ecuador in H1 2021? | SELECT ic.CommunityName, SUM(ed.Quantity) as TotalExtraction FROM ExtractionData ed JOIN IndigenousCommunities ic ON ed.CommunityID = ic.CommunityID WHERE ed.ExtractionDate BETWEEN '2021-01-01' AND '2021-06-30' AND ed.Material = 'Copper' AND ic.Country = 'Ecuador' GROUP BY ic.CommunityName; | gretelai_synthetic_text_to_sql |
CREATE TABLE GreenBuildingProjects (id INT, reduction_type VARCHAR(50), co2_reduction FLOAT); INSERT INTO GreenBuildingProjects (id, reduction_type, co2_reduction) VALUES (1, 'Insulation', 50.0), (2, 'Lighting', 75.0), (3, 'Insulation', 60.0); | What is the total CO2 emission reduction of green building projects in the 'GreenBuildingProjects' table, grouped by reduction_type? | SELECT reduction_type, SUM(co2_reduction) FROM GreenBuildingProjects GROUP BY reduction_type; | gretelai_synthetic_text_to_sql |
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