context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE courses (course_id INT, teacher_id INT, completion_date DATE); INSERT INTO courses (course_id, teacher_id, completion_date) VALUES (1, 1, '2022-01-01'), (2, 1, '2022-12-31'), (3, 2, '2021-06-15'), (4, 3, '2022-05-05'), (5, 4, '2021-11-22'); | What is the maximum number of courses a teacher has completed in a single year? | SELECT MAX(subquery.yearly_courses) FROM (SELECT COUNT(course_id) AS yearly_courses, teacher_id FROM courses WHERE completion_date > DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY teacher_id) AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE missions (mission_id INT, name VARCHAR(100), agency VARCHAR(100), launch_date DATE); INSERT INTO missions (mission_id, name, agency, launch_date) VALUES (1, 'SLV-3', 'ISRO', '1981-05-10'), (2, 'PSLV-C2', 'ISRO', '1994-10-15'); | Show all missions conducted by ISRO. | SELECT name FROM missions WHERE agency = 'ISRO'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Digital_Divide (contributor VARCHAR(50), year INT, impact INT); INSERT INTO Digital_Divide (contributor, year, impact) VALUES ('Income Inequality', 2019, 7), ('Education Disparity', 2019, 6), ('Rural Internet Access', 2019, 5), ('Language Barrier', 2019, 4); | Who are the top 3 contributors to the digital divide in 2019? | SELECT contributor FROM Digital_Divide WHERE year = 2019 ORDER BY impact DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE sea_surface_temperatures (ocean TEXT, temperature REAL, month TEXT); | What is the maximum sea surface temperature in the Southern Ocean in January? | SELECT MAX(temperature) FROM sea_surface_temperatures WHERE ocean = 'Southern Ocean' AND month = 'January'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (country VARCHAR(255), year INT, amount INT); INSERT INTO production (country, year, amount) VALUES ('China', 2020, 140000), ('USA', 2020, 38000), ('Australia', 2020, 20000), ('India', 2020, 5000); | What was the total rare earth element production for each country in 2020? | SELECT country, SUM(amount) AS total_production FROM production GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouses (warehouse_id varchar(5), warehouse_name varchar(10), location varchar(10)); INSERT INTO warehouses (warehouse_id, warehouse_name, location) VALUES ('NYC', 'New York City', 'NY'); CREATE TABLE inventory (item_code varchar(5), warehouse_id varchar(5), quantity int); INSERT INTO inventory (item_co... | What is the total quantity of item 'A01' in warehouse 'NYC'? | SELECT SUM(quantity) FROM inventory WHERE item_code = 'A01' AND warehouse_id = 'NYC'; | gretelai_synthetic_text_to_sql |
CREATE TABLE VRHeadsetsSales (SaleID INT, HeadsetModel VARCHAR(50), QuantitySold INT, SaleYear INT); INSERT INTO VRHeadsetsSales (SaleID, HeadsetModel, QuantitySold, SaleYear) VALUES (1, 'Oculus Rift S', 500, 2020); INSERT INTO VRHeadsetsSales (SaleID, HeadsetModel, QuantitySold, SaleYear) VALUES (2, 'HTC Vive Pro', 70... | How many virtual reality headsets were sold in the United States between 2020 and 2021? | SELECT SUM(QuantitySold) FROM VRHeadsetsSales WHERE SaleYear BETWEEN 2020 AND 2021 AND HeadsetModel = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Concerts (id INT, location VARCHAR(255), revenue INT, type VARCHAR(255)); INSERT INTO Concerts (id, location, revenue, type) VALUES (1, 'North America', 1000000, 'Music'), (2, 'Europe', 800000, 'Music'), (3, 'North America', 1200000, 'Sports'); | What is the total revenue for music concerts in North America? | SELECT SUM(revenue) FROM Concerts WHERE location = 'North America' AND type = 'Music'; | gretelai_synthetic_text_to_sql |
CREATE TABLE LocalLibrary (id INT, name VARCHAR(255), visitor_id INT, event_date DATE); INSERT INTO LocalLibrary (id, name, visitor_id, event_date) VALUES (1, 'Local Library', 1, '2023-01-10'), (2, 'Local Library', 2, '2023-01-10'), (3, 'Local Library', 3, '2023-03-15'); | How many unique visitors attended events at Local Library in 2023? | SELECT COUNT(DISTINCT visitor_id) FROM LocalLibrary WHERE YEAR(event_date) = 2023; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (id INT, name TEXT, city TEXT); CREATE TABLE transactions (client_id INT, amount DECIMAL(10,2), transaction_time TIMESTAMP); INSERT INTO clients (id, name, city) VALUES (1, 'Eva', 'Berlin'), (2, 'Frank', 'Berlin'); INSERT INTO transactions (client_id, amount, transaction_time) VALUES (1, 400.00, '2... | What is the maximum transaction amount for clients living in 'Berlin' during the month of 'January'? | SELECT MAX(transaction_amount) FROM (SELECT transactions.amount AS transaction_amount FROM clients JOIN transactions ON clients.id = transactions.client_id WHERE clients.city = 'Berlin' AND DATE_TRUNC('month', transactions.transaction_time) = '2022-01-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (attorney_id INT, age INT, state VARCHAR(2)); INSERT INTO attorneys (attorney_id, age, state) VALUES (1, 35, 'WA'); INSERT INTO attorneys (attorney_id, age, state) VALUES (2, 42, 'WA'); INSERT INTO attorneys (attorney_id, age, state) VALUES (3, 28, 'WA'); | What is the minimum age of legal aid attorneys in the state of Washington? | SELECT MIN(age) FROM attorneys WHERE state = 'WA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, garment_id INT, size VARCHAR(10), sale_date DATE); INSERT INTO sales (id, garment_id, size, sale_date) VALUES (1, 1002, 'XL', '2021-05-15'); | Count the number of size XL garments sold in the last month. | SELECT COUNT(*) FROM sales WHERE size = 'XL' AND sale_date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas_pacific (area_name VARCHAR(255), depth FLOAT); INSERT INTO marine_protected_areas_pacific (area_name, depth) VALUES ('Great Barrier Reef', 10.0), ('Channel Islands National Park', 200.0), ('Monterey Bay National Marine Sanctuary', 400.0); | Display the names of marine protected areas and their corresponding depths in the Pacific Ocean. | SELECT area_name, depth FROM marine_protected_areas_pacific; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_centers (state VARCHAR(20), num_centers INT); INSERT INTO recycling_centers VALUES ('California', 350); | How many recycling centers are there in the state of California? | SELECT num_centers FROM recycling_centers WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (student_id INT, course_id INT, course_completion_date DATE); INSERT INTO students (student_id, course_id, course_completion_date) VALUES (1, 101, '2022-01-01'), (1, 102, '2022-02-01'), (2, 101, '2022-01-15'), (3, 103, '2022-03-01'), (4, 101, '2022-01-05'); | What is the lifelong learning progress for each student? | SELECT s.student_id, COUNT(s.course_id) as num_courses_completed, DATEDIFF(MAX(s.course_completion_date), MIN(s.course_completion_date)) as days_since_first_course FROM students s GROUP BY s.student_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE CoOwnershipProperties (Id INT, City VARCHAR(50), Value FLOAT); INSERT INTO CoOwnershipProperties (Id, City, Value) VALUES (1, 'Austin', 900000), (2, 'Seattle', 800000), (3, 'Austin', 1000000), (4, 'Portland', 700000); | What is the maximum value of a co-ownership property in Austin, TX? | SELECT MAX(Value) FROM CoOwnershipProperties WHERE City = 'Austin'; | gretelai_synthetic_text_to_sql |
CREATE TABLE humanitarian_assistance (country VARCHAR(50), resource_type VARCHAR(50), quantity INT); INSERT INTO humanitarian_assistance (country, resource_type, quantity) VALUES (), (), (); | Add a new record to the "humanitarian_assistance" table with the following information: ('Syria', 'food', 15000) | INSERT INTO humanitarian_assistance (country, resource_type, quantity) VALUES ('Syria', 'food', 15000); | gretelai_synthetic_text_to_sql |
CREATE TABLE site_safety (site_id INT, site_name TEXT, incident_date DATE, incident_type TEXT, num_injuries INT); | What is the number of workplace injuries reported at each mining site in 2018? | SELECT site_name, SUM(num_injuries) AS total_injuries FROM site_safety WHERE incident_date LIKE '2018-%' AND incident_type = 'Workplace Injury' GROUP BY site_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE arctic_points (id INT, point TEXT, lat FLOAT, lon FLOAT); INSERT INTO arctic_points (id, point, lat, lon) VALUES (1, 'North Pole', 90.0, 0.0), (2, 'Cape Morris Jesup', 83.3, -39.7); | What are the coordinates of the Southernmost point in the Arctic Ocean? | SELECT lat, lon FROM arctic_points WHERE point = 'Cape Morris Jesup'; | gretelai_synthetic_text_to_sql |
CREATE TABLE dmo (id INT, name TEXT, region TEXT); INSERT INTO dmo (id, name, region) VALUES (1, 'Tourism Australia', 'Australia'), (2, 'Japan National Tourism Organization', 'Japan'), (3, 'New Zealand Tourism Board', 'New Zealand'); | Which destination marketing organizations are in the Asia-Pacific region? | SELECT name FROM dmo WHERE region = 'Asia-Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, Gender VARCHAR(10), DonationAmount DECIMAL(10,2)); INSERT INTO Donors (DonorID, Gender, DonationAmount) VALUES (1, 'Male', 50.00), (2, 'Female', 75.00), (3, 'Non-binary', 25.00); | What is the total amount of donations by gender? | SELECT Gender, SUM(DonationAmount) as TotalDonation FROM Donors GROUP BY Gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE AstronautMedicalData (astronaut_name VARCHAR(30), country VARCHAR(20), age INT, mission_name VARCHAR(30)); INSERT INTO AstronautMedicalData (astronaut_name, country, age, mission_name) VALUES ('James Smith', 'UK', 40, 'Moon Landing'), ('Michael Johnson', 'Canada', 38, 'Moon Landing'); | What is the minimum age of astronauts who have traveled to the Moon? | SELECT MIN(age) FROM AstronautMedicalData WHERE mission_name = 'Moon Landing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE food_resources (id INT, quantity INT, country TEXT, quarter INT, year INT); INSERT INTO food_resources (id, quantity, country, quarter, year) VALUES (1, 500, 'Pakistan', 1, 2022), (2, 600, 'Pakistan', 2, 2022), (3, 700, 'Pakistan', 3, 2022), (4, 800, 'Pakistan', 4, 2022); | How many food resources were distributed in Pakistan in Q1 and Q2 2022? | SELECT SUM(quantity) FROM food_resources WHERE country = 'Pakistan' AND (quarter = 1 OR quarter = 2) AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArticleWordCount (id INT, word_count INT, category VARCHAR(20), newspaper VARCHAR(20)); INSERT INTO ArticleWordCount (id, word_count, category, newspaper) VALUES (1, 500, 'politics', 'WashingtonPost'), (2, 700, 'politics', 'WashingtonPost'), (3, 600, 'technology', 'WashingtonPost'); | What is the average word count of articles about politics in the "WashingtonPost"? | SELECT AVG(word_count) FROM ArticleWordCount WHERE category = 'politics' AND newspaper = 'WashingtonPost'; | gretelai_synthetic_text_to_sql |
CREATE TABLE machines (id INT, model VARCHAR(50), year INT, status VARCHAR(50), maintenance_start_date DATE, maintenance_end_date DATE); INSERT INTO machines (id, model, year, status, maintenance_start_date, maintenance_end_date) VALUES (1, 'CNC Mill', 2015, 'Operational', '2021-02-01', '2021-02-03'); INSERT INTO machi... | Calculate the average maintenance duration for each machine model. | SELECT model, AVG(DATEDIFF(day, maintenance_start_date, maintenance_end_date)) as avg_maintenance_duration FROM machines GROUP BY model; | gretelai_synthetic_text_to_sql |
CREATE TABLE Mining_Operations (Mine_ID INT, Material VARCHAR(10), Quantity INT, Date DATE); INSERT INTO Mining_Operations (Mine_ID, Material, Quantity, Date) VALUES (1, 'Gold', 120, '2020-01-01'), (2, 'Silver', 180, '2020-01-02'); | What is the total quantity of gold and silver mined in each mine? | SELECT Mine_ID, SUM(CASE WHEN Material IN ('Gold', 'Silver') THEN Quantity ELSE 0 END) FROM Mining_Operations GROUP BY Mine_ID; | gretelai_synthetic_text_to_sql |
CREATE TABLE otas (id INT, name TEXT, region TEXT, revenue FLOAT); INSERT INTO otas (id, name, region, revenue) VALUES (1, 'Expedia', 'North America', 5000000), (2, 'Booking.com', 'Europe', 7000000); | What is the total revenue of online travel agencies in 'North America' for the current month? | SELECT SUM(revenue) FROM otas WHERE region = 'North America' AND MONTH(start_date) = MONTH(CURRENT_DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE GamePlayTimes (player_id INT, game_id INT, playtime_hours DECIMAL(5,2), region VARCHAR(255)); INSERT INTO GamePlayTimes (player_id, game_id, playtime_hours, region) VALUES (7, 4, 25.5, 'Africa'), (8, 4, 22.3, 'Africa'), (9, 5, 30.1, 'Africa'), (10, 5, 28.7, 'Africa'); | What are the total playtime hours for each game by players in Africa? | SELECT G.game_name, GP.region, SUM(GP.playtime_hours) as total_playtime_hours FROM GamePlayTimes GP JOIN Games G ON GP.game_id = G.game_id GROUP BY G.game_name, GP.region; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels(id INT, name TEXT, city TEXT, rating FLOAT, spa BOOLEAN);CREATE TABLE virtual_tours(hotel_id INT, views INT); | What is the average rating of hotels in 'Paris' that offer 'spa' services, and how many virtual tours have been taken for these hotels? | SELECT AVG(hotels.rating), SUM(virtual_tours.views) FROM hotels INNER JOIN virtual_tours ON hotels.id = virtual_tours.hotel_id WHERE hotels.city = 'Paris' AND hotels.spa = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_diplomacy (id INT PRIMARY KEY, participant_1 VARCHAR(50), participant_2 VARCHAR(50), year INT, agreement VARCHAR(50)); | Delete all records from the 'defense_diplomacy' table where 'participant_2' is 'Mexico' | WITH cte AS (DELETE FROM defense_diplomacy WHERE participant_2 = 'Mexico' RETURNING *) INSERT INTO defense_diplomacy SELECT * FROM cte; | gretelai_synthetic_text_to_sql |
CREATE TABLE bike_sharing_systems (bike_id INT, trip_id INT, trip_start_time TIMESTAMP, trip_end_time TIMESTAMP, start_location TEXT, end_location TEXT, city TEXT, daily_usage INT); | What is the daily usage of bike-sharing systems in Seoul, South Korea? | SELECT SUM(daily_usage) FROM bike_sharing_systems WHERE city = 'Seoul'; | gretelai_synthetic_text_to_sql |
CREATE TABLE infrastructure_projects (id INT, project_name VARCHAR(50), location VARCHAR(50), budget DECIMAL(10,2), year INT); INSERT INTO infrastructure_projects (id, project_name, location, budget, year) VALUES (1, 'Highway 101 Expansion', 'California', 5000000, 2022), (2, 'Bridge Replacement', 'New York', 3000000, 2... | What is the total budget for infrastructure projects in 2023? | SELECT SUM(budget) as total_budget FROM infrastructure_projects WHERE year = 2023; | gretelai_synthetic_text_to_sql |
CREATE TABLE Autonomous_Driving_Tests (id INT, vehicle_model VARCHAR(50), test_location VARCHAR(50), year INT); | List the number of autonomous driving research tests conducted in each country. | SELECT test_location, COUNT(*) FROM Autonomous_Driving_Tests GROUP BY test_location; | gretelai_synthetic_text_to_sql |
CREATE TABLE schools_3 (name VARCHAR(255), state VARCHAR(255), population DECIMAL(10,2), schools DECIMAL(5,2)); INSERT INTO schools_3 (name, state, population, schools) VALUES ('School4', 'California', 39512223, 31540), ('School5', 'Texas', 29528404, 22120), ('School6', 'Florida', 21644287, 18350); | Show the top 2 states with the most public schools per capita. | SELECT state, (schools / population) AS schools_per_capita FROM schools_3 ORDER BY schools_per_capita DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouses (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255)); CREATE TABLE Freights (id INT PRIMARY KEY, warehouse_id INT, status VARCHAR(255), quantity INT, pickup_date DATETIME); CREATE VIEW PendingFreights AS SELECT * FROM Freights WHERE status = 'pending'; | What is the total quantity of pending freights in 'TX' warehouses? | SELECT SUM(quantity) as total_quantity FROM PendingFreights p INNER JOIN Warehouses w ON p.warehouse_id = w.id WHERE w.location = 'TX'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ethical_ai_projects (id INT, project_name TEXT, completion_year INT); INSERT INTO ethical_ai_projects (id, project_name, completion_year) VALUES (1, 'AI Ethics Framework', 2021), (2, 'Fair AI Algorithms', 2020), (3, 'AI Ethics Guidelines', 2021), (4, 'Transparent AI Systems', 2022); | How many ethical AI projects were completed in 2021? | SELECT COUNT(*) FROM ethical_ai_projects WHERE completion_year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_price (date DATE, region VARCHAR(20), price FLOAT); INSERT INTO carbon_price (date, region, price) VALUES ('2022-01-01', 'European Union', 25.0), ('2022-02-01', 'European Union', 26.5); | What is the average carbon price in the European Union for the past year? | SELECT AVG(price) FROM carbon_price WHERE region = 'European Union' AND date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) AND CURRENT_DATE; | gretelai_synthetic_text_to_sql |
CREATE TABLE skorea_cultural_heritage (id INT, year INT, num_sites INT); INSERT INTO skorea_cultural_heritage (id, year, num_sites) VALUES (1, 2021, 30), (2, 2022, 40); | How many cultural heritage sites were preserved in South Korea in the year 2021 and 2022? | SELECT SUM(num_sites) FROM skorea_cultural_heritage WHERE year IN (2021, 2022); | gretelai_synthetic_text_to_sql |
CREATE TABLE SecurityIncidents (IncidentID INT, Region VARCHAR(255), Year INT, IncidentCount INT); INSERT INTO SecurityIncidents (IncidentID, Region, Year, IncidentCount) VALUES (3, 'APAC', 2022, 55); INSERT INTO SecurityIncidents (IncidentID, Region, Year, IncidentCount) VALUES (4, 'EMEA', 2022, 65); | How many security incidents were reported in the EMEA region in 2022? | SELECT SUM(IncidentCount) FROM SecurityIncidents WHERE Region = 'EMEA' AND Year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE AircraftManufacturing(id INT, manufacturer VARCHAR(255), model VARCHAR(255), delivery_date DATE); INSERT INTO AircraftManufacturing(id, manufacturer, model, delivery_date) VALUES (1, 'Boeing', '737', '2020-03-15'), (2, 'Airbus', 'A320', '2019-12-28'), (3, 'Boeing', '787', '2020-08-12'), (4, 'Boeing', '777'... | What is the total number of aircrafts manufactured by Boeing with delivery date in 2020? | SELECT COUNT(*) FROM AircraftManufacturing WHERE manufacturer = 'Boeing' AND YEAR(delivery_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE JobOpenings (OpeningID INT, Position VARCHAR(50), Department VARCHAR(50), TotalApplicants INT); INSERT INTO JobOpenings (OpeningID, Position, Department, TotalApplicants) VALUES (1, 'Developer', 'IT', 75), (2, 'Manager', 'HR', 30), (3, 'Designer', 'Marketing', 60), (4, 'Analyst', 'Finance', 45); | How many applicants were there for each job opening, and which openings had more than 50 applicants? | SELECT OpeningID, Position, Department, TotalApplicants FROM JobOpenings WHERE TotalApplicants > 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT PRIMARY KEY, garment_id INT, size VARCHAR(10), quantity INT, date DATE); INSERT INTO sales (id, garment_id, size, quantity, date) VALUES (1, 1, 'S', 10, '2021-01-01'); INSERT INTO sales (id, garment_id, size, quantity, date) VALUES (2, 1, 'M', 15, '2021-01-01'); INSERT INTO sales (id, garment... | What is the average quantity of size XL garments sold? | SELECT size, AVG(quantity) FROM sales WHERE size = 'XL'; | gretelai_synthetic_text_to_sql |
CREATE TABLE research_funding (id INT, year INT, area VARCHAR(50), amount FLOAT);INSERT INTO research_funding (id, year, area, amount) VALUES (1, 2020, 'Astrobiology', 150000000.0); | What was the combined funding for astrobiology research in 2020? | SELECT SUM(amount) FROM research_funding WHERE year = 2020 AND area = 'Astrobiology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tools_usage (id INT, tool_name VARCHAR(255), usage_date DATE); INSERT INTO tools_usage (id, tool_name, usage_date) VALUES (1, 'Tableau', '2022-01-01'), (2, 'PowerBI', '2022-01-05'), (3, 'Jupyter Notebook', '2022-01-07'), (4, 'Tableau', '2022-01-10'), (5, 'Jupyter Notebook', '2022-01-15'), (6, 'Google Colab... | Count the number of unique exploratory data analysis tools used in the past month | SELECT COUNT(DISTINCT tool_name) FROM tools_usage WHERE usage_date >= NOW() - INTERVAL 1 MONTH; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, attorney_id INT, billing_date DATE, billing_amount DECIMAL(10, 2)); INSERT INTO cases (case_id, attorney_id, billing_date, billing_amount) VALUES (1, 6, '2021-01-01', 5000.00), (2, 6, '2021-02-01', 7000.00), (3, 7, '2021-03-01', 3000.00); CREATE TABLE attorneys (attorney_id INT, name VA... | What is the total billing amount for cases handled by attorney Olivia Lee? | SELECT SUM(billing_amount) FROM cases JOIN attorneys ON cases.attorney_id = attorneys.attorney_id WHERE attorneys.name = 'Olivia Lee'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_models (model_id INT, make VARCHAR(20), model VARCHAR(30), release_year INT); INSERT INTO vehicle_models (model_id, make, model, release_year) VALUES (1, 'Tesla', 'Model S', 2012), (2, 'Tesla', 'Model X', 2015), (3, 'Rivian', 'R1T', 2019), (4, 'Rivian', 'R1S', 2020); | Find the number of electric vehicle models released each year, in the 'vehicle_models' table. | SELECT EXTRACT(YEAR FROM release_year) release_year, COUNT(*) models_per_year FROM vehicle_models GROUP BY release_year ORDER BY release_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE Algorithms (AlgorithmId INT, Name TEXT, FairnessScore FLOAT, Year INT, Country TEXT); INSERT INTO Algorithms (AlgorithmId, Name, FairnessScore, Year, Country) VALUES (1, 'AlgorithmA', 0.9, 2017, 'Germany'), (2, 'AlgorithmB', 0.8, 2019, 'France'), (3, 'AlgorithmC', 0.95, 2015, 'UK'); | What is the maximum fairness score of all algorithms created in Europe before 2018? | SELECT MAX(FairnessScore) FROM Algorithms WHERE Country = 'Europe' AND Year < 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE Menu (id INT, item_name VARCHAR(20), item_type VARCHAR(10), price DECIMAL(10,2), region VARCHAR(10)); INSERT INTO Menu (id, item_name, item_type, price, region) VALUES (1, 'Vegan Burger', 'entrée', 12.99, 'New York'), (2, 'Chicken Salad', 'entrée', 15.99, 'Los Angeles'); | What is the average price of vegan entrées in the New York region? | SELECT AVG(price) FROM Menu WHERE item_type = 'entrée' AND region = 'New York' AND item_name LIKE '%vegan%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE healthcare_providers (id INT, name TEXT, type TEXT, services TEXT); | Find the number of rural healthcare providers that offer mental health services, grouped by provider type. | SELECT type, COUNT(*) FROM healthcare_providers WHERE services LIKE '%Mental Health%' GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Arts_Preservation (Art_ID INT PRIMARY KEY, Art_Name VARCHAR(100), Type VARCHAR(50), Origin_Country VARCHAR(50), Preservation_Status VARCHAR(50)); INSERT INTO Arts_Preservation (Art_ID, Art_Name, Type, Origin_Country, Preservation_Status) VALUES (4, 'Kapa Haka', 'Performing Arts', 'New Zealand', 'Stable'); | What are the names and types of arts from New Zealand? | SELECT Art_Name, Type FROM Arts_Preservation WHERE Origin_Country = 'New Zealand'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_education (id INT PRIMARY KEY, program_name VARCHAR(255), description TEXT, target_audience VARCHAR(255)); | Delete the Save the Manatee program from the 'community_education' table | DELETE FROM community_education WHERE program_name = 'Save the Manatee'; | gretelai_synthetic_text_to_sql |
CREATE TABLE teachers_pd (teacher_id INT, subject_area TEXT, last_pd_program_date DATE); INSERT INTO teachers_pd (teacher_id, subject_area, last_pd_program_date) VALUES (1, 'Math', '2020-01-01'), (2, 'Science', '2019-06-15'), (3, 'English', '2021-02-20'); | How many teachers have not participated in any professional development programs in the last 2 years, grouped by subject area? | SELECT subject_area, COUNT(*) FROM teachers_pd WHERE last_pd_program_date < DATE_SUB(CURRENT_DATE, INTERVAL 2 YEAR) GROUP BY subject_area HAVING COUNT(*) = (SELECT COUNT(*) FROM teachers_pd WHERE teachers_pd.teacher_id = teacher_id); | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_sites (site_id INT, site_name TEXT, location TEXT); CREATE TABLE environmental_impact (site_id INT, site_name TEXT, ei_score FLOAT); INSERT INTO mining_sites (site_id, site_name, location) VALUES (1, 'Site A', 'Country X'), (2, 'Site B', 'Country Y'); INSERT INTO environmental_impact (site_id, site_... | Insert new records for mining sites in Country Z, with Site E and Site F having environmental impact scores of 65 and 90 respectively. | INSERT INTO mining_sites (site_id, site_name, location) VALUES (5, 'Site E', 'Country Z'), (6, 'Site F', 'Country Z'); INSERT INTO environmental_impact (site_id, site_name, ei_score) VALUES (5, 'Site E', 65), (6, 'Site F', 90); | gretelai_synthetic_text_to_sql |
CREATE TABLE user_registrations (registration_id INT, user_id INT, registration_date DATE); | Display the number of users who registered for each day of the week | SELECT DATEPART(dw, registration_date) AS day_of_week, COUNT(DISTINCT user_id) AS num_users FROM user_registrations GROUP BY day_of_week; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (country_id INT, country VARCHAR(255)); CREATE TABLE users (user_id INT, user_country VARCHAR(255)); CREATE TABLE songs (song_id INT, title VARCHAR(255), genre_id INT, release_date DATE); CREATE TABLE streams (stream_id INT, song_id INT, user_id INT, stream_date DATE); | Find the number of unique users who have streamed a song from each country. | SELECT cu.country, COUNT(DISTINCT st.user_id) as unique_users FROM countries cu JOIN users u ON cu.country = u.user_country JOIN streams st ON u.user_id = st.user_id GROUP BY cu.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (id INT, name VARCHAR(100)); CREATE TABLE Songs (id INT, artist_id INT, title VARCHAR(100), release_year INT, genre VARCHAR(50), streams INT); | How many songs were released by each artist in the 'Hip Hop' genre? | SELECT Artists.name, COUNT(*) FROM Artists JOIN Songs ON Artists.id = Songs.artist_id WHERE genre = 'Hip Hop' GROUP BY Artists.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE crops (id INT PRIMARY KEY, name VARCHAR(50), yield INT, country VARCHAR(50)); INSERT INTO crops (id, name, yield, country) VALUES (1, 'Rice', 7500, 'China'), (2, 'Cotton', 1000, 'Turkey'), (3, 'Wheat', 2600, 'India'); | Update 'Yield' of 'Cotton' in 'Turkey' to 1200? | UPDATE crops SET yield = 1200 WHERE name = 'Cotton' AND country = 'Turkey'; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (restaurant_id INT, name TEXT, region TEXT); INSERT INTO restaurants (restaurant_id, name, region) VALUES (1, 'Big Burger', 'East'), (2, 'Veggies R Us', 'Midwest'), (3, 'Tasty Bites', 'West'); CREATE TABLE orders (order_id INT, dish TEXT, customer_id INT, restaurant_id INT); INSERT INTO orders ... | List the total quantity of vegan and vegetarian dishes sold in each region. | SELECT r.region, SUM(CASE WHEN m.is_vegan = true THEN 1 ELSE 0 END) as vegan_quantity, SUM(CASE WHEN m.is_vegetarian = true THEN 1 ELSE 0 END) as vegetarian_quantity FROM orders o JOIN restaurants r ON o.restaurant_id = r.restaurant_id JOIN menu_items m ON o.dish = m.name GROUP BY r.region; | gretelai_synthetic_text_to_sql |
CREATE TABLE HeritageSites (id INT, name VARCHAR(50), country VARCHAR(50), is_unesco BOOLEAN); CREATE TABLE ArtPieces (id INT, site_id INT, art VARCHAR(50)); | What is the total number of traditional art pieces in each country, excluding those from UNESCO-designated sites? | SELECT H.country, COUNT(AP.id) as total_art_pieces FROM HeritageSites H INNER JOIN ArtPieces AP ON H.id = AP.site_id WHERE NOT H.is_unesco GROUP BY H.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE attendee_demographics (attendee_id INT, attendee_name VARCHAR(50), attendee_age INT); INSERT INTO attendee_demographics (attendee_id, attendee_name, attendee_age) VALUES (1, 'Jane Smith', 25), (2, 'Michael Johnson', 17), (3, 'Sophia Rodriguez', 16); CREATE TABLE event_attendance (attendee_id INT, event_nam... | How many attendees under the age of 18 attended 'Art' events? | SELECT COUNT(*) FROM attendee_demographics ad JOIN event_attendance ea ON ad.attendee_id = ea.attendee_id WHERE attendee_age < 18 AND (event_name = 'Art Exhibit' OR event_name = 'Art Workshop'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Performances (id INT, name VARCHAR(50), date DATE, duration INT); INSERT INTO Performances (id, name, date, duration) VALUES (1, 'Play', '2020-01-01', 30); | What is the number of performances in the 'Performances' table with a duration of exactly 30 minutes? | SELECT COUNT(*) FROM Performances WHERE duration = 30; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (id INT, name TEXT); INSERT INTO regions (id, name) VALUES (1, 'North America'), (2, 'South America'), (3, 'Europe'), (4, 'Asia'), (5, 'Africa'); CREATE TABLE products (id INT, name TEXT, is_organic BOOLEAN, price DECIMAL(5, 2)); INSERT INTO products (id, name, is_organic, price) VALUES (1, 'Produc... | What is the average price of organic products in North America? | SELECT AVG(products.price) FROM products INNER JOIN sales ON products.name = sales.product INNER JOIN regions ON sales.region = regions.name WHERE products.is_organic = true AND regions.name = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Teams (TeamID INT, TeamName VARCHAR(50)); INSERT INTO Teams VALUES (1, 'Red Sox'), (2, 'Yankees'); CREATE TABLE Games (GameID INT, TeamID INT, HomeAway VARCHAR(5), Attendance INT); INSERT INTO Games VALUES (1, 1, 'Home', 20000), (2, 1, 'Away', 15000), (3, 2, 'Home', 35000), (4, 2, 'Away', 30000), (5, 1, 'H... | What is the average attendance for home games? | SELECT TeamID, AVG(Attendance) AS AvgHomeAttendance FROM Games WHERE HomeAway = 'Home' GROUP BY TeamID; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, client_name VARCHAR(50), country VARCHAR(50), type VARCHAR(50), value DECIMAL(10,2), date DATE); INSERT INTO investments (id, client_name, country, type, value, date) VALUES (1, 'Ali', 'Egypt', 'stocks', 12000, '2022-01-01'); CREATE TABLE donations (id INT, client_name VARCHAR(50), cou... | What is the total number of clients that have made investments or donations in Egypt? | SELECT client_name FROM investments WHERE country = 'Egypt' UNION SELECT client_name FROM donations WHERE country = 'Egypt'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cuisine (id INT, type VARCHAR(50), calories INT); INSERT INTO cuisine (id, type, calories) VALUES (1, 'Italian', 500), (2, 'Mexican', 600), (3, 'Japanese', 400); | Find the top 2 cuisine types with the highest calorie content? | SELECT type, calories, ROW_NUMBER() OVER (ORDER BY calories DESC) as rank FROM cuisine WHERE rank <= 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (id INT, title VARCHAR(50), artist_nationality VARCHAR(50), collection VARCHAR(50)); CREATE TABLE Collections (id INT, name VARCHAR(50), continent VARCHAR(50)); | What is the total number of artworks in our collection from each continent? | SELECT Collections.continent, COUNT(Artworks.id) as artwork_count FROM Artworks INNER JOIN Collections ON Artworks.collection = Collections.name GROUP BY Collections.continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE cyber_incidents (id INT, incident_date DATE, description VARCHAR(255)); INSERT INTO cyber_incidents (id, incident_date, description) VALUES (1, '2022-01-01', 'Phishing attack'), (2, '2022-03-15', 'Ransomware attack'), (3, '2022-04-20', 'Data breach'), (4, '2022-06-05', 'Malware attack'); | What are the cybersecurity incidents reported in the last 6 months? | SELECT description, incident_date FROM cyber_incidents WHERE incident_date >= DATE(NOW()) - INTERVAL 6 MONTH; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, supplier_name TEXT, quantity_sold INT);CREATE TABLE inventory (product_id INT, product_name TEXT, category TEXT, is_organic BOOLEAN);INSERT INTO suppliers VALUES (1, 'Supplier A', 2000), (2, 'Supplier B', 1500), (3, 'Supplier C', 1200), (4, 'Supplier D', 800);INSERT INTO invento... | Identify the non-organic products that are not supplied by any of the top 3 suppliers in terms of quantity sold. | SELECT product_name FROM inventory WHERE NOT EXISTS (SELECT 1 FROM (SELECT supplier_id, SUM(quantity_sold) AS total_quantity FROM suppliers GROUP BY supplier_id LIMIT 3) AS top_suppliers INNER JOIN inventory ON TRUE WHERE is_organic = FALSE AND NOT (supplier_id = ANY(top_suppliers.supplier_id))) AND is_organic = FALSE; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_equipment (id INT PRIMARY KEY, name VARCHAR(255), type VARCHAR(255), manufacturer VARCHAR(255), year INT, country VARCHAR(255)); INSERT INTO military_equipment (id, name, type, manufacturer, year, country) VALUES (1, 'M1 Abrams', 'Tank', 'General Dynamics', 1980, 'USA'), (2, 'F-15 Eagle', 'Fighter... | Select all fighter aircraft from 'military_equipment' table | SELECT * FROM military_equipment WHERE type = 'Fighter'; | gretelai_synthetic_text_to_sql |
CREATE TABLE TV_Shows (id INT, title VARCHAR(100), country VARCHAR(50), views INT); | Top 5 most viewed TV shows in Canada? | SELECT title, views FROM TV_Shows WHERE country = 'Canada' ORDER BY views DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity (id INT, violation_date DATE, location TEXT); INSERT INTO mental_health_parity (id, violation_date, location) VALUES (1, '2021-01-01', 'Texas'); INSERT INTO mental_health_parity (id, violation_date, location) VALUES (2, '2021-02-01', 'California'); | How many mental health parity violations were reported in Texas in 2021? | SELECT COUNT(*) FROM mental_health_parity WHERE violation_date >= '2021-01-01' AND violation_date < '2022-01-01' AND location = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (hotel_id INT, name TEXT, city TEXT, country TEXT, rating FLOAT); INSERT INTO hotels (hotel_id, name, city, country, rating) VALUES (1, 'Hotel Ritz', 'Paris', 'France', 4.6), (2, 'Hotel de Crillon', 'Paris', 'France', 4.8); | What is the average rating of hotels in 'Paris', France? | SELECT AVG(rating) FROM hotels WHERE city = 'Paris' AND country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE trawlers (id INT, name VARCHAR(50)); CREATE TABLE catch (trawler_id INT, date DATE, species VARCHAR(50), quantity INT, price FLOAT); INSERT INTO trawlers VALUES (1, 'North Sea Trawler 1'), (2, 'North Sea Trawler 2'), (3, 'North Sea Trawler 3'); INSERT INTO catch VALUES (1, '2021-01-01', 'Cod', 1000, 4), (1... | List the number of fish caught and total revenue for each trawler in the North Sea during 2021. | SELECT t.name, COUNT(c.trawler_id) as catches, SUM(c.quantity * c.price) as revenue FROM trawlers t INNER JOIN catch c ON t.id = c.trawler_id WHERE YEAR(c.date) = 2021 GROUP BY t.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_conservation_laws (id INT PRIMARY KEY, law_name VARCHAR(255), region VARCHAR(255)); INSERT INTO marine_conservation_laws (id, law_name, region) VALUES (1, 'Mediterranean Marine Conservation Act', 'Mediterranean Sea'); | Update the marine conservation law in the Mediterranean Sea | UPDATE marine_conservation_laws SET law_name = 'Updated Mediterranean Marine Conservation Act' WHERE region = 'Mediterranean Sea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings_canada (id INT, city VARCHAR(255), energy_consumption FLOAT); INSERT INTO green_buildings_canada (id, city, energy_consumption) VALUES (1, 'Toronto', 3000), (2, 'Toronto', 3500), (3, 'Vancouver', 4000); | Calculate the total energy consumption of green buildings in each city in Canada. | SELECT city, SUM(energy_consumption) FROM green_buildings_canada GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE Projects (project_id INT, project_name VARCHAR(100), state VARCHAR(100), completion_date DATE); | Which renewable energy projects have been completed in the state of Colorado since January 1, 2020? | SELECT project_name FROM Projects WHERE state = 'Colorado' AND completion_date >= '2020-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_revenue (hotel_name VARCHAR(20), revenue DECIMAL(10,2), revenue_date DATE); INSERT INTO hotel_revenue (hotel_name, revenue, revenue_date) VALUES ('Hotel A', 15000, '2022-01-01'), ('Hotel A', 16000, '2022-02-01'), ('Hotel A', 18000, '2022-03-01'); | What is the monthly revenue trend for a specific hotel in 2022? | SELECT revenue_date, SUM(revenue) as monthly_revenue FROM hotel_revenue WHERE hotel_name = 'Hotel A' AND revenue_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY EXTRACT(MONTH FROM revenue_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, nonprofit_id INT, amount FLOAT, donation_date DATE); INSERT INTO donations (id, nonprofit_id, amount, donation_date) VALUES (1, 1, 500, '2022-03-15'), (2, 2, 1000, '2022-03-20'), (3, 1, 750, '2022-03-25'); CREATE TABLE nonprofit_ratings (id INT, nonprofit_id INT, rating INT); INSERT INTO... | What is the average rating for nonprofits that have received donations in the last month? | SELECT nonprofit_id, AVG(rating) FROM nonprofit_ratings JOIN (SELECT nonprofit_id FROM donations WHERE donation_date BETWEEN DATEADD(day, -30, GETDATE()) AND GETDATE() GROUP BY nonprofit_id) AS last_month_donors ON nonprofit_ratings.nonprofit_id = last_month_donors.nonprofit_id GROUP BY nonprofit_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE pollution_history (id INT, region TEXT, incident_date DATE); INSERT INTO pollution_history (id, region, incident_date) VALUES (1, 'Atlantic', '2021-01-10'), (2, 'Pacific', '2021-02-15'), (3, 'Indian', '2021-03-05'); | What is the earliest pollution incident in each ocean region? | SELECT region, MIN(incident_date) earliest_date FROM pollution_history GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name TEXT, country TEXT, amount_donated DECIMAL(10,2)); INSERT INTO donors (id, name, country, amount_donated) VALUES (1, 'Alice', 'United States', 5000.00), (2, 'Bob', 'Canada', 6000.00); | Delete the record for the donor from Canada. | DELETE FROM donors WHERE country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (artist_id INT, last_release_date DATE); INSERT INTO artists (artist_id, last_release_date) VALUES (1, '2018-03-15'), (2, '2016-07-27'), (3, '2014-09-01'), (4, '2020-11-29'), (5, '2010-05-05'); | Delete all records of artists who have not released any music in the last 5 years. | DELETE FROM artists WHERE last_release_date < DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name TEXT, total_donated_amount FLOAT); CREATE TABLE donations (id INT, donor_id INT, organization_id INT, donation_amount FLOAT); CREATE TABLE organizations (id INT, name TEXT, cause_area TEXT); | What's the percentage of total donations made by the top 5 donors, categorized by cause area? | SELECT o.cause_area, SUM(donations.donation_amount) as total_donations, (SUM(donations.donation_amount) / (SELECT SUM(donations.donation_amount) FROM donations)) * 100 as percentage_of_total_donations FROM donations INNER JOIN organizations o ON donations.organization_id = o.id INNER JOIN (SELECT id, total_donated_amou... | gretelai_synthetic_text_to_sql |
CREATE TABLE bookings (id INT, hotel_id INT, date DATE); CREATE TABLE hotels (id INT, name TEXT, city TEXT); INSERT INTO hotels (id, name, city) VALUES (1, 'Hotel Ritz', 'London'), (2, 'Hotel George V', 'London'), (3, 'Hotel Plaza', 'London'); INSERT INTO bookings (id, hotel_id, date) VALUES (1, 1, '2022-01-01'), (2, 1... | What is the most popular hotel in 'London'? | SELECT hotels.name, COUNT(bookings.id) AS num_bookings FROM hotels INNER JOIN bookings ON hotels.id = bookings.hotel_id WHERE hotels.city = 'London' GROUP BY hotels.name ORDER BY num_bookings DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity_officers (officer_id INT, name VARCHAR(50), department VARCHAR(50)); INSERT INTO mental_health_parity_officers (officer_id, name, department) VALUES (1, 'Alice Johnson', 'Compliance'); INSERT INTO mental_health_parity_officers (officer_id, name, department) VALUES (2, 'Bob Brown', 'Leg... | List the departments of mental health parity officers and the number of officers in each department in the mental_health schema. | SELECT department, COUNT(*) FROM mental_health.mental_health_parity_officers GROUP BY department; | gretelai_synthetic_text_to_sql |
CREATE TABLE EquipmentTypes (id INT, equipment VARCHAR(50));CREATE TABLE ProjectTimelines (id INT, equipment VARCHAR(50), start_year INT, end_year INT);CREATE TABLE ProjectCountries (id INT, project_id INT, country VARCHAR(50)); | Which military equipment types are part of defense projects with timelines extending into 2025, and for which countries are these projects? | SELECT EquipmentTypes.equipment, ProjectCountries.country FROM EquipmentTypes INNER JOIN ProjectTimelines ON EquipmentTypes.equipment = ProjectTimelines.equipment INNER JOIN ProjectCountries ON ProjectTimelines.id = ProjectCountries.project_id WHERE ProjectTimelines.end_year >= 2025; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID int, Name varchar(50), Age int, Gender varchar(10)); INSERT INTO Players (PlayerID, Name, Age, Gender) VALUES (1, 'John Doe', 25, 'Male'), (2, 'Jane Smith', 30, 'Female'), (3, 'Alex Johnson', 22, 'Non-binary'); | Delete records of players who have not played any games | DELETE FROM Players WHERE PlayerID NOT IN (SELECT DISTINCT PlayerID FROM Games); | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (id INT, name VARCHAR(50), num_orgs INT); INSERT INTO countries (id, name, num_orgs) VALUES (1, 'Germany', 7), (2, 'France', 8), (3, 'Spain', 9); | List the countries with the highest number of organizations involved in ethical AI. | SELECT name FROM countries WHERE num_orgs = (SELECT MAX(num_orgs) FROM countries WHERE name LIKE '%ethical AI%'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Healthcare_Providers (ID INT, Name TEXT, Gender TEXT, Specialty TEXT); INSERT INTO Healthcare_Providers (ID, Name, Gender, Specialty) VALUES (1, 'Dr. A', 'Male', 'Surgeon'); INSERT INTO Healthcare_Providers (ID, Name, Gender, Specialty) VALUES (2, 'Dr. B', 'Female', 'Anesthesiologist'); | What is the distribution of healthcare providers by gender, excluding surgeons and anesthesiologists? | SELECT Gender, COUNT(*) FROM Healthcare_Providers WHERE Specialty NOT IN ('Surgeon', 'Anesthesiologist') GROUP BY Gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE accident_type (accident_type_id INT, accident_type_name VARCHAR(255)); INSERT INTO accident_type (accident_type_id, accident_type_name) VALUES (1, 'AccidentTypeA'), (2, 'AccidentTypeB'); CREATE TABLE accidents (accident_type_id INT, number INT); INSERT INTO accidents (accident_type_id, number) VALUES (1, 5... | What is the total number of accidents for each type? | SELECT accident_type_id, SUM(number) as total_accidents FROM accidents GROUP BY accident_type_id | gretelai_synthetic_text_to_sql |
CREATE TABLE funding_allocation (project_name VARCHAR(255), funding_year INT, funding_quarter INT, amount INT); INSERT INTO funding_allocation (project_name, funding_year, funding_quarter, amount) VALUES ('Precision Agriculture', 2020, 3, 500000), ('Smart Irrigation', 2019, 4, 400000); | How many agricultural innovation projects were funded in each quarter in the 'funding_allocation' table? | SELECT funding_year, funding_quarter, COUNT(*) FROM funding_allocation GROUP BY funding_year, funding_quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE PolicyStateCount (State TEXT, PolicyCount INT); INSERT INTO PolicyStateCount (State, PolicyCount) VALUES ('California', 400); INSERT INTO PolicyStateCount (State, PolicyCount) VALUES ('Texas', 350); INSERT INTO PolicyStateCount (State, PolicyCount) VALUES ('Florida', 300); INSERT INTO PolicyStateCount (Sta... | What are the top 3 states with the most policies? | SELECT State, PolicyCount FROM (SELECT State, PolicyCount, ROW_NUMBER() OVER (ORDER BY PolicyCount DESC) as row FROM PolicyStateCount) as t WHERE row <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE ExplorationData (WellID int, ExplorationDate date, DrillingCosts decimal(10, 2)); INSERT INTO ExplorationData (WellID, ExplorationDate, DrillingCosts) VALUES (301, '2021-11-01', 450000), (301, '2021-11-02', 475000), (302, '2021-11-03', 500000); | What are the total drilling costs for Well ID 301 in the ExplorationData table? | SELECT SUM(DrillingCosts) FROM ExplorationData WHERE WellID = 301; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donation_date DATE, amount DECIMAL(10,2)); | What is the average donation amount per month in the 'donations' table? | SELECT AVG(amount) AS avg_monthly_donation FROM donations WHERE donation_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY EXTRACT(MONTH FROM donation_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE soil_moisture_data (id INT, farm_id INT, moisture_level INT, time_stamp DATETIME); INSERT INTO soil_moisture_data (id, farm_id, moisture_level, time_stamp) VALUES (1, 1, 55, '2022-03-14 12:00:00'), (2, 2, 60, '2022-03-14 13:00:00'), (3, 3, 50, '2022-03-14 14:00:00'); | Delete all records in the soil_moisture_data table for farms in 'Nebraska'. | DELETE FROM soil_moisture_data WHERE farm_id IN (SELECT id FROM farm_locations WHERE state = 'Nebraska'); | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name TEXT, last_port TEXT, last_port_date DATE); INSERT INTO vessels (id, name, last_port, last_port_date) VALUES (1, 'VesselC', 'Singapore', '2021-12-15'); INSERT INTO vessels (id, name, last_port, last_port_date) VALUES (2, 'VesselD', 'Hong Kong', '2021-11-30'); | List the names of vessels that have been to the port of Singapore in the last 6 months. | SELECT DISTINCT name FROM vessels WHERE last_port = 'Singapore' AND last_port_date >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE india_factories (factory_id INT, factory_name VARCHAR(50), textile_material VARCHAR(50), co2_emission INT); INSERT INTO india_factories VALUES (1, 'Factory X', 'Cotton', 1200); INSERT INTO india_factories VALUES (2, 'Factory Y', 'Silk', 1500); INSERT INTO india_factories VALUES (3, 'Factory Z', 'Wool', 180... | What is the total CO2 emission of factories in India, grouped by textile material and sorted in descending order? | SELECT textile_material, SUM(co2_emission) as total_emission FROM india_factories GROUP BY textile_material ORDER BY total_emission DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE strains (strain_id INT, name VARCHAR(255), type VARCHAR(255)); INSERT INTO strains (strain_id, name, type) VALUES (8, 'Purple Kush', 'Indica'); CREATE TABLE dispensaries (dispensary_id INT, name VARCHAR(255)); INSERT INTO dispensaries (dispensary_id, name) VALUES (8, 'Buds & Beyond'); CREATE TABLE inventor... | Delete 'Indica' strains from 'Buds & Beyond' dispensary before 2021. | DELETE FROM inventory WHERE strain_id = (SELECT strain_id FROM strains WHERE name = 'Purple Kush' AND type = 'Indica') AND dispensary_id = (SELECT dispensary_id FROM dispensaries WHERE name = 'Buds & Beyond') AND inventory_id IN (SELECT inventory_id FROM sales WHERE sale_date < '2021-01-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE broadband_customers (customer_id INT, devices INT); INSERT INTO broadband_customers (customer_id, devices) VALUES (1, 3), (2, 5), (3, 2); | What is the maximum number of devices registered by a broadband customer? | SELECT customer_id, MAX(devices) FROM broadband_customers GROUP BY customer_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_competency_training (id INT, region VARCHAR(50), year INT, sessions INT); INSERT INTO cultural_competency_training (id, region, year, sessions) VALUES (1, 'Northeast', 2020, 120), (2, 'Southeast', 2020, 150), (3, 'Midwest', 2020, 100), (4, 'West', 2020, 180), (5, 'Northeast', 2021, 140), (6, 'Sout... | List the average cultural competency training sessions per region in 2020 and 2021. | SELECT region, AVG(sessions) as avg_sessions FROM cultural_competency_training WHERE year IN (2020, 2021) GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(100), release_year INT, rating DECIMAL(3,2)); INSERT INTO movies (id, title, release_year, rating) VALUES (1, 'MovieA', 2015, 8.1); INSERT INTO movies (id, title, release_year, rating) VALUES (2, 'MovieB', 2017, 8.5); | What is the average rating for movies released between 2015 and 2020? | SELECT AVG(rating) FROM movies WHERE release_year BETWEEN 2015 AND 2020; | gretelai_synthetic_text_to_sql |
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