context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE events(id INT, city VARCHAR(255), year INT, num_events INT); INSERT INTO events (id, city, year, num_events) VALUES (1, 'Tokyo', 2021, 15), (2, 'Tokyo', 2022, 20), (3, 'Paris', 2021, 25); | How many cultural events were held in 'Tokyo' in 2021? | SELECT SUM(num_events) FROM events WHERE city = 'Tokyo' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE Audience (audience_id INT, event_city VARCHAR(50), audience_age INT); INSERT INTO Audience (audience_id, event_city, audience_age) VALUES (1, 'New York', 35), (2, 'Chicago', 40), (3, 'New York', 32), (4, 'Chicago', 45), (5, 'New York', 38), (6, 'Chicago', 35); | What is the average age of audience members who attended events in New York or Chicago in 2021, and update their records with the calculated average age? | SELECT AVG(audience_age) FROM Audience WHERE event_city IN ('New York', 'Chicago') AND event_year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE teachers (teacher_id INT, teacher_name TEXT); INSERT INTO teachers (teacher_id, teacher_name) VALUES (1, 'Mrs. Doe'), (2, 'Mr. Smith'), (3, 'Ms. Johnson'); CREATE TABLE professional_development (program_id INT, program_name TEXT, teacher_id INT); INSERT INTO professional_development (program_id, program_na... | Who are the teachers that have not attended any professional development programs? | SELECT t.teacher_name FROM teachers t LEFT JOIN professional_development pd ON t.teacher_id = pd.teacher_id WHERE pd.teacher_id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE schools (state VARCHAR(255), year INT, school_count INT); INSERT INTO schools (state, year, school_count) VALUES ('California', 2015, 150), ('California', 2016, 200), ('California', 2017, 250), ('California', 2018, 300), ('California', 2019, 350), ('California', 2020, 400); | How many public schools were built in the state of California between 2015 and 2020? | SELECT SUM(school_count) AS total_schools_built FROM schools WHERE state = 'California' AND year BETWEEN 2015 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE FoodInspections (restaurant_id INT, region VARCHAR(50), passed BOOLEAN); INSERT INTO FoodInspections (restaurant_id, region, passed) VALUES (1, 'North', TRUE), (1, 'North', FALSE), (2, 'North', TRUE), (2, 'South', TRUE), (2, 'South', FALSE); | What is the percentage of restaurants that passed their food safety inspections in each region? | SELECT region, AVG(IF(passed, 1, 0)) as pass_percentage FROM foodinspections GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT PRIMARY KEY, species_name VARCHAR(255), conservation_status VARCHAR(255)); INSERT INTO marine_species (id, species_name, conservation_status) VALUES (1001, 'Oceanic Whitetip Shark', 'Vulnerable'), (1002, 'Green Sea Turtle', 'Threatened'), (1003, 'Leatherback Sea Turtle', 'Vulnerable'... | List all marine species in the 'marine_species' table, ordered by conservation status | SELECT species_name FROM marine_species ORDER BY conservation_status ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE affordable_housing (id INT, property_tax FLOAT, state VARCHAR(20)); INSERT INTO affordable_housing (id, property_tax, state) VALUES (1, 5000, 'California'), (2, 7000, 'New York'), (3, 3000, 'Texas'); | What is the maximum property tax for affordable housing units in the state of California? | SELECT MAX(property_tax) FROM affordable_housing WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (genre VARCHAR(255), country VARCHAR(255), sales FLOAT); CREATE TABLE genres (genre VARCHAR(255)); INSERT INTO genres (genre) VALUES ('Pop'), ('Rock'), ('Jazz'), ('Classical'); | What are the total sales for each genre in the United States? | SELECT s.genre, SUM(s.sales) as total_sales FROM sales s JOIN genres g ON s.genre = g.genre WHERE s.country = 'United States' GROUP BY s.genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE OilFields (FieldID INT, FieldName VARCHAR(50), Country VARCHAR(50), Production INT, Reserves INT); INSERT INTO OilFields (FieldID, FieldName, Country, Production, Reserves) VALUES (1, 'Galaxy', 'USA', 20000, 500000); INSERT INTO OilFields (FieldID, FieldName, Country, Production, Reserves) VALUES (2, 'Apol... | List all oil fields in Canada and their production figures. | SELECT FieldName, Production FROM OilFields WHERE Country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouse (id INT, name VARCHAR(20), city VARCHAR(20), country VARCHAR(20)); INSERT INTO Warehouse (id, name, city, country) VALUES (1, 'Seoul Warehouse', 'Seoul', 'South Korea'), (2, 'Mumbai Warehouse', 'Mumbai', 'India'), (3, 'Tokyo Warehouse', 'Tokyo', 'Japan'); CREATE TABLE Packages (id INT, warehouse_... | What is the count of packages in 'received' status at each warehouse in 'Asia'? | SELECT warehouse_id, COUNT(*) FROM Packages WHERE status = 'received' GROUP BY warehouse_id HAVING country = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Meetings (meeting_id INT, meeting_date DATE); | How many public meetings were held in 'Meetings' table by month? | SELECT MONTH(meeting_date), COUNT(meeting_id) FROM Meetings GROUP BY MONTH(meeting_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtistSales2 (GalleryName TEXT, ArtistName TEXT, NumPieces INTEGER, PricePerPiece FLOAT); INSERT INTO ArtistSales2 (GalleryName, ArtistName, NumPieces, PricePerPiece) VALUES ('Contemporary Art Gallery', 'Warhol', 12, 75.5), ('Contemporary Art Gallery', 'Matisse', 15, 60.0), ('Contemporary Art Gallery', 'Ka... | Which artist had the highest revenue generated from sales at the "Contemporary Art Gallery" in 2021? | SELECT ArtistName, SUM(NumPieces * PricePerPiece) AS Revenue FROM ArtistSales2 WHERE GalleryName = 'Contemporary Art Gallery' AND YEAR(SaleDate) = 2021 GROUP BY ArtistName ORDER BY Revenue DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (name TEXT, location TEXT, avg_depth FLOAT); INSERT INTO marine_protected_areas (name, location, avg_depth) VALUES ('Bermuda Park', 'Atlantic', 50.0), ('Azores', 'Atlantic', 20.0); | What is the average depth of marine protected areas in the Atlantic? | SELECT AVG(avg_depth) FROM marine_protected_areas WHERE location = 'Atlantic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EsportsEvents (EventID INT, Players INT, UsesVR BOOLEAN); INSERT INTO EsportsEvents (EventID, Players, UsesVR) VALUES (1, 10, TRUE); | How many players use VR technology in esports events? | SELECT SUM(Players) FROM EsportsEvents WHERE UsesVR = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sustainable_Practices ( id INT PRIMARY KEY, country_id INT, certification_date DATE, FOREIGN KEY (country_id) REFERENCES Countries(id) ); INSERT INTO Sustainable_Practices (id, country_id, certification_date) VALUES (1, 1, '2018-07-01'); INSERT INTO Sustainable_Practices (id, country_id, certification_date... | How many countries in Oceania have been promoting sustainable tourism since 2018? | SELECT COUNT(DISTINCT c.id) as country_count FROM Countries c INNER JOIN Sustainable_Practices sp ON c.id = sp.country_id WHERE c.continent = 'Oceania' AND sp.certification_date >= '2018-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE test_drives (drive_id INT, vehicle_make VARCHAR(20), avg_speed FLOAT); INSERT INTO test_drives (drive_id, vehicle_make, avg_speed) VALUES (1, 'Tesla', 65.3), (2, 'Tesla', 68.1), (3, 'Rivian', 62.9), (4, 'Rivian', 64.5); | What is the average speed of electric vehicles in the 'test_drives' table, grouped by 'vehicle_make'? | SELECT vehicle_make, AVG(avg_speed) avg_speed FROM test_drives GROUP BY vehicle_make; | gretelai_synthetic_text_to_sql |
CREATE TABLE r_d_expenditure (drug_name TEXT, expenditure INTEGER, approval_year TEXT); INSERT INTO r_d_expenditure (drug_name, expenditure, approval_year) VALUES ('Drug1', 2500, 'Year1'), ('Drug2', 3000, 'Year2'), ('Drug3', 3500, 'Year1'), ('Drug4', 4000, 'Year3'); | What is the maximum R&D expenditure for drugs approved in 'Year1'? | SELECT MAX(expenditure) FROM r_d_expenditure WHERE approval_year = 'Year1'; | gretelai_synthetic_text_to_sql |
CREATE TABLE travel_advisories (country VARCHAR(20), year INT, advisory VARCHAR(50)); INSERT INTO travel_advisories (country, year, advisory) VALUES ('Japan', 2022, 'avoid non-essential travel'), ('Brazil', 2022, 'avoid all travel'); | Update the travel advisory for Brazil in 2022 to 'exercise caution'. | UPDATE travel_advisories SET advisory = 'exercise caution' WHERE country = 'Brazil' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE GameB_Participants (player_id INT, game_id INT); CREATE TABLE GameB_eSportsEvents (event_id INT, game_id INT); INSERT INTO GameB_Participants (player_id, game_id) VALUES (1, 1), (2, 1), (3, 2), (4, 1), (5, 2); INSERT INTO GameB_eSportsEvents (event_id, game_id) VALUES (101, 1), (102, 2), (103, 1); | How many players have participated in eSports events for game 'B'? | SELECT COUNT(DISTINCT GameB_Participants.player_id) as num_players FROM GameB_Participants JOIN GameB_eSportsEvents ON GameB_Participants.game_id = GameB_eSportsEvents.game_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE health_equity_metrics (id INT PRIMARY KEY, metric VARCHAR(255), value FLOAT); | Create a table named 'health_equity_metrics' | CREATE TABLE health_equity_metrics (id INT PRIMARY KEY, metric VARCHAR(255), value FLOAT); | gretelai_synthetic_text_to_sql |
CREATE TABLE unions (id INT, name VARCHAR(255), industry VARCHAR(255), member_age INT); INSERT INTO unions (id, name, industry, member_age) VALUES (1, 'Union D', 'hospitality', 30), (2, 'Union E', 'hospitality', 35), (3, 'Union F', 'hospitality', 40); | What is the maximum age of members in unions with a 'hospitality' industry classification? | SELECT MAX(member_age) FROM unions WHERE industry = 'hospitality'; | gretelai_synthetic_text_to_sql |
CREATE TABLE LandfillCapacity (id INT, district VARCHAR(20), capacity INT, region VARCHAR(10)); INSERT INTO LandfillCapacity (id, district, capacity, region) VALUES (1, 'DistrictA', 250000, 'RegionA'), (2, 'DistrictB', 500000, 'RegionB'), (3, 'DistrictC', 300000, 'RegionA'); | Calculate the average landfill capacity for districts in each region. | SELECT region, AVG(capacity) FROM LandfillCapacity GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE haircare (product_id INT, product_name VARCHAR(50), price DECIMAL(5,2)); | What is the difference in price between the most and least expensive products in the 'haircare' table? | SELECT product_name, price, MAX(price) OVER() - MIN(price) OVER() as price_difference FROM haircare; | gretelai_synthetic_text_to_sql |
CREATE TABLE wildlife_habitats (habitat_id INT, habitat_name VARCHAR(50), year INT, area INT); INSERT INTO wildlife_habitats (habitat_id, habitat_name, year, area) VALUES (1, 'Forest', 2018, 1000), (2, 'Wetland', 2018, 2000), (3, 'Grassland', 2018, 3000), (4, 'Forest', 2019, 900), (5, 'Wetland', 2019, 1800), (6, 'Grass... | Identify the wildlife habitats that have a decrease in area between 2018 and 2019, and order them by the largest decrease first. | SELECT habitat_name, (LAG(area, 1) OVER (PARTITION BY habitat_name ORDER BY year)) - area AS area_decrease FROM wildlife_habitats WHERE year = 2019 GROUP BY habitat_name, area ORDER BY area_decrease DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cases (CaseID INT, AttorneyID INT, Outcome VARCHAR(10)); INSERT INTO Cases (CaseID, AttorneyID, Outcome) VALUES (1, 1, 'Won'), (2, 1, 'Lost'), (3, 2, 'Settled'); | Show the number of cases won, lost, and settled by attorneys in the corporate law department. | SELECT c.AttorneyID, SUM(CASE WHEN c.Outcome = 'Won' THEN 1 ELSE 0 END) AS Wins, SUM(CASE WHEN c.Outcome = 'Lost' THEN 1 ELSE 0 END) AS Losses, SUM(CASE WHEN c.Outcome = 'Settled' THEN 1 ELSE 0 END) AS Settled FROM Cases c WHERE c.AttorneyID IN (SELECT a.AttorneyID FROM Attorneys a WHERE a.PracticeArea = 'Corporate Law... | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_impact (id INT, mine_id INT, pollution_index FLOAT, impact_date DATE); INSERT INTO environmental_impact (id, mine_id, pollution_index, impact_date) VALUES (3, 3, 28.1, '2020-01-01'); INSERT INTO environmental_impact (id, mine_id, pollution_index, impact_date) VALUES (4, 4, 32.5, '2020-02-01')... | What is the average pollution index for each mine in Country A? | SELECT e.mine_id, AVG(e.pollution_index) as avg_pollution FROM environmental_impact e WHERE e.location = 'Country A' GROUP BY e.mine_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE broadband_subscribers (id INT, name VARCHAR(50), outage BOOLEAN, state VARCHAR(50)); INSERT INTO broadband_subscribers (id, name, outage, state) VALUES (7, 'Charlie White', true, 'OH'); INSERT INTO broadband_subscribers (id, name, outage, state) VALUES (8, 'David Black', false, 'OH'); | How many broadband subscribers are there in Ohio who have had a service outage in the last year? | SELECT COUNT(*) FROM broadband_subscribers WHERE outage = true AND state = 'OH' AND YEAR(registration_date) = YEAR(CURRENT_DATE) - 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (id INT, factory VARCHAR(255), country VARCHAR(255), quantity INT, production_date DATE); INSERT INTO production (id, factory, country, quantity, production_date) VALUES (1, 'Fabric Inc', 'India', 700, '2021-05-01'), (2, 'Stitch Time', 'India', 800, '2021-06-15'), (3, 'Sew Good', 'India', 600, '... | How many garments were produced in each country in the last month? | SELECT country, COUNT(quantity) FROM production WHERE production_date >= DATEADD(month, -1, CURRENT_DATE) GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE soil_moisture (id INT, field_id INT, value INT, timestamp TIMESTAMP); | Delete all records from the soil moisture table for the past week. | DELETE FROM soil_moisture WHERE timestamp >= NOW() - INTERVAL '1 week'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tickets (id INT, game_id INT, team VARCHAR(255), price DECIMAL(10,2)); | Which team has the highest average ticket price? | SELECT team, AVG(price) AS avg_price FROM tickets GROUP BY team ORDER BY avg_price DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE food_waste (id INT, waste_date DATE, ingredient_name TEXT, quantity INT); | What is the total amount of food waste generated in the last month, categorized by ingredient type? | SELECT ingredient_name, SUM(quantity) FROM food_waste WHERE waste_date >= DATE(NOW()) - INTERVAL 1 MONTH GROUP BY ingredient_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_items (id INT, name VARCHAR(255), category VARCHAR(255), organic_sourced BOOLEAN, fair_trade_sourced BOOLEAN, revenue INT); INSERT INTO menu_items (id, name, category, organic_sourced, fair_trade_sourced, revenue) VALUES (1, 'Quinoa Salad', 'Salads', TRUE, TRUE, 500), (2, 'Grilled Chicken Sandwich', '... | What is the total revenue generated from 'Organic' and 'Fair Trade' sourced menu items? | SELECT SUM(revenue) as total_revenue FROM menu_items WHERE organic_sourced = TRUE AND fair_trade_sourced = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE sites (site_id INT, state VARCHAR(2), num_workers INT, acres FLOAT); | Calculate the total number of workers at mining sites located in 'CO' or 'WY'. | SELECT state, SUM(num_workers) as total_workers FROM sites WHERE state IN ('CO', 'WY') GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_plans (id INT, plan_type VARCHAR(20), quarter DATE, revenue DECIMAL(10,2)); CREATE TABLE customers (id INT, plan_id INT); INSERT INTO mobile_plans (id, plan_type, quarter, revenue) VALUES (1, 'postpaid', '2022-01-01', 50.00), (2, 'postpaid', '2022-01-01', 60.00), (3, 'prepaid', '2022-01-01', 40.00);... | What is the total revenue generated from postpaid mobile plans in the last quarter? | SELECT SUM(revenue) FROM mobile_plans INNER JOIN customers ON mobile_plans.id = customers.plan_id WHERE plan_type = 'postpaid' AND quarter BETWEEN DATE_SUB('2022-04-01', INTERVAL 3 MONTH) AND '2022-04-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customer (customer_id INT, name VARCHAR(50), country VARCHAR(50)); CREATE TABLE debit_card (transaction_id INT, customer_id INT, value DECIMAL(10,2), timestamp TIMESTAMP); | Identify the top 5 customers with the highest transaction values in the "debit_card" table for the month of January 2022. | SELECT c.name, SUM(dc.value) as total_value FROM customer c JOIN debit_card dc ON c.customer_id = dc.customer_id WHERE MONTH(dc.timestamp) = 1 AND YEAR(dc.timestamp) = 2022 GROUP BY c.customer_id ORDER BY total_value DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE daily_activity (player_id INT, activity_date DATE, region VARCHAR(255)); INSERT INTO daily_activity (player_id, activity_date, region) VALUES (1, '2022-05-01', 'North America'), (2, '2022-05-02', 'Europe'), (3, '2022-05-03', 'Asia'); | How many players are active in each region per day? | SELECT activity_date, region, COUNT(player_id) as num_players FROM daily_activity GROUP BY activity_date, region; | gretelai_synthetic_text_to_sql |
CREATE TABLE music_concerts (concert_id INT, participant_name VARCHAR(50), instrument VARCHAR(50)); INSERT INTO music_concerts (concert_id, participant_name, instrument) VALUES (1, 'Mia', 'Violin'), (2, 'Nora', 'Piano'), (3, 'Olivia', 'Flute'); | Update the instrument of the participant 'Mia' in the 'Music Concerts' table to 'Cello'. | UPDATE music_concerts SET instrument = 'Cello' WHERE participant_name = 'Mia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_data (user_id INT, username VARCHAR(50), country VARCHAR(50), followers INT, posts INT); INSERT INTO user_data (user_id, username, country, followers, posts) VALUES (1, 'user1', 'USA', 100000, 50), (2, 'user2', 'Canada', 120000, 75), (3, 'user3', 'Mexico', 150000, 100), (4, 'user4', 'Brazil', 200000, ... | What is the total number of posts for users from the "social_media" platform who have more than 100000 followers? | SELECT SUM(posts) as total_posts FROM user_data WHERE followers > 100000; | gretelai_synthetic_text_to_sql |
CREATE TABLE media_contents (content_id INTEGER, title VARCHAR(255), duration INTEGER, production_country VARCHAR(100)); INSERT INTO media_contents (content_id, title, duration, production_country) VALUES (1, 'Content1', 120, 'USA'), (2, 'Content2', 90, 'Canada'), (3, 'BollywoodRocks', 180, 'India'), (4, 'Content4', 10... | What is the average duration of Indian movies? | SELECT AVG(duration) FROM media_contents WHERE production_country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (id INT, name TEXT, age INT, state TEXT, transaction_amount DECIMAL(10,2)); INSERT INTO clients (id, name, age, state, transaction_amount) VALUES (1, 'John Doe', 35, 'Florida', 700.00); INSERT INTO clients (id, name, age, state, transaction_amount) VALUES (2, 'Jane Smith', 40, 'Florida', 650.50); | What is the maximum transaction amount in Florida? | SELECT MAX(transaction_amount) FROM clients WHERE state = 'Florida'; | gretelai_synthetic_text_to_sql |
CREATE TABLE advocacy (id INT, campaign VARCHAR(50), launch_date DATE, end_date DATE); INSERT INTO advocacy (id, campaign, launch_date, end_date) VALUES (1, 'Child Rights', '2021-01-01', '2021-12-31'), (2, 'Gender Equality', '2021-02-01', '2021-12-31'), (3, 'Human Rights', '2020-01-01', '2020-12-31'); | Which advocacy campaigns were launched in 'advocacy' table, and when, excluding campaigns launched in 2021? | SELECT campaign, launch_date FROM advocacy WHERE launch_date < '2021-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE inventory (inventory_id INT, item_name VARCHAR(50), inventory_category VARCHAR(50), quantity INT, revenue DECIMAL(10,2)); INSERT INTO inventory (inventory_id, item_name, inventory_category, quantity, revenue) VALUES (1, 'Tomato', 'Produce', 50, 500.00), (2, 'Chicken Breast', 'Meat', 100, 1200.00), (3, 'Van... | What is the total revenue for each inventory category? | SELECT inventory_category, SUM(revenue) FROM inventory GROUP BY inventory_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees(id INT, name VARCHAR(255), title VARCHAR(255), age INT); INSERT INTO employees(id, name, title, age) VALUES ('1', 'Jane Smith', 'Mining Engineer', '50'); | Who is the oldest employee with the title 'Mining Engineer' in the 'mining_company' database? | SELECT name, age FROM employees WHERE title = 'Mining Engineer' ORDER BY age DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_materials (material_name TEXT, recycled_content_percentage FLOAT, embodied_carbon_kg_co2 FLOAT); INSERT INTO sustainable_materials (material_name, recycled_content_percentage, embodied_carbon_kg_co2) VALUES ('Recycled Steel', 95, 0.65), ('Reclaimed Concrete', 85, 0.95), ('New Timber', 10, 1.5); | List all materials with their embodied carbon and recycled content percentage, ordered by recycled content percentage in descending order | SELECT * FROM sustainable_materials ORDER BY recycled_content_percentage DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE TVShows (tv_show_id INT, title VARCHAR(255), rating FLOAT, production_country VARCHAR(50)); INSERT INTO TVShows (tv_show_id, title, rating, production_country) VALUES (1, 'TVShow1', 7.5, 'USA'), (2, 'TVShow2', 8.2, 'Canada'), (3, 'TVShow3', 6.9, 'Mexico'); | What is the minimum rating of TV shows produced in the USA and Canada? | SELECT MIN(rating) FROM TVShows WHERE production_country IN ('USA', 'Canada'); | gretelai_synthetic_text_to_sql |
CREATE TABLE battery_storage (id INT PRIMARY KEY, manufacturer VARCHAR(50), installed_year INT, capacity FLOAT); | Update the capacity of the record with id 2001 in the 'battery_storage' table to 1500 | UPDATE battery_storage SET capacity = 1500 WHERE id = 2001; | gretelai_synthetic_text_to_sql |
CREATE TABLE bankruptcy_cases (case_id INT, attorney_id INT, attorney_last_name VARCHAR(50)); | List unique last names of attorneys who handled more than 30 bankruptcy cases and their respective counts. | SELECT attorney_last_name, COUNT(*) as case_count FROM bankruptcy_cases GROUP BY attorney_last_name HAVING COUNT(*) > 30; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sharks (id INT PRIMARY KEY, name VARCHAR(50), species VARCHAR(50), location VARCHAR(50), population INT); INSERT INTO Sharks (id, name, species, location, population) VALUES (1, 'James', 'Great White', 'Pacific Ocean', 3000), (2, 'Sam', 'Hammerhead', 'Atlantic Ocean', 2000); | What is the total population of each shark species, excluding the Great White? | SELECT species, SUM(population) FROM Sharks WHERE species != 'Great White' GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE Construction_Workers (Worker_ID INT, Name TEXT, Salary FLOAT, State TEXT); INSERT INTO Construction_Workers (Worker_ID, Name, Salary, State) VALUES (1, 'John Doe', 60000, 'California'), (2, 'Jane Smith', 65000, 'California'), (3, 'Mike Johnson', 70000, 'Texas'), (4, 'Sara Williams', 75000, 'Texas'); | What are the names and average salaries of construction workers in California and Texas? | SELECT cw.Name, AVG(cw.Salary) FROM Construction_Workers cw WHERE cw.State IN ('California', 'Texas') GROUP BY cw.Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurant_info (restaurant_id INT, name VARCHAR(50), address VARCHAR(100), city VARCHAR(50), state VARCHAR(2), has_vegan_options BOOLEAN); | Insert a new record into the restaurant_info table for a new restaurant with an ID of 78, a name of "Tasty Bites", an address of "123 Main St", a city of "Anytown", a state of "CA", and a has_vegan_options field of false | INSERT INTO restaurant_info (restaurant_id, name, address, city, state, has_vegan_options) VALUES (78, 'Tasty Bites', '123 Main St', 'Anytown', 'CA', false); | gretelai_synthetic_text_to_sql |
CREATE TABLE Weather (field VARCHAR(50), date DATE, temperature FLOAT); INSERT INTO Weather (field, date, temperature) VALUES ('Field B', '2022-06-01', 25.1), ('Field B', '2022-06-02', 28.6), ('Field B', '2022-06-03', 22.3); | What is the maximum temperature in field B in the past week? | SELECT MAX(temperature) FROM Weather WHERE field = 'Field B' AND date >= DATE_SUB(CURRENT_DATE, INTERVAL 7 DAY); | gretelai_synthetic_text_to_sql |
CREATE TABLE wind_energy (country VARCHAR(20), installed_capacity INT); INSERT INTO wind_energy (country, installed_capacity) VALUES ('Germany', 62000), ('France', 16000); | What is the total installed capacity of wind energy in Germany and France? | SELECT SUM(installed_capacity) FROM wind_energy WHERE country IN ('Germany', 'France'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Inspectors (InspectorID INT, InspectorName TEXT); CREATE TABLE Inspections (InspectionID INT, InspectorID INT, ChemicalID INT); INSERT INTO Inspectors (InspectorID, InspectorName) VALUES (1, 'John Doe'), (2, 'Jane Smith'), (3, 'Bob Johnson'); INSERT INTO Inspections (InspectionID, InspectorID, ChemicalID) ... | Which chemical safety inspectors have inspected chemicals with a safety stock level above 1000? | SELECT InspectorName FROM Inspectors INNER JOIN Inspections ON Inspectors.InspectorID = Inspections.InspectorID INNER JOIN Chemicals ON Inspections.ChemicalID = Chemicals.ChemicalID WHERE Chemicals.SafetyStockLevel > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (employee_id INT, name TEXT, role TEXT, department TEXT); INSERT INTO Employees (employee_id, name, role, department) VALUES (1, 'John', 'Genetic Researcher', 'Lab1'), (2, 'Jane', 'Bioprocess Engineer', 'Lab1'), (3, 'Mike', 'Data Scientist', 'Lab2'); | How many genetic researchers work in 'Lab1'? | SELECT COUNT(*) FROM Employees WHERE role = 'Genetic Researcher' AND department = 'Lab1'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Foundations (product_id INT, product_name VARCHAR(255), category VARCHAR(255), price DECIMAL(10,2), spf DECIMAL(3,1)); INSERT INTO Foundations (product_id, product_name, category, price, spf) VALUES (1, 'Foundation 1', 'Foundations', 24.99, 15), (2, 'Foundation 2', 'Foundations', 29.99, 20), (3, 'Foundatio... | What is the average SPF value of foundations? | SELECT AVG(spf) FROM Foundations; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity_trend (state VARCHAR(2), year INT, violations INT); INSERT INTO mental_health_parity_trend (state, year, violations) VALUES ('CA', 2020, 15), ('CA', 2021, 25), ('NY', 2020, 20), ('NY', 2021, 30), ('TX', 2020, 10), ('TX', 2021, 20); | How many mental health parity violations have occurred in each state, and what is the trend over the past three years? | SELECT m.state, m.year, m.violations, LAG(m.violations) OVER (PARTITION BY m.state ORDER BY m.year) as prev_year_violations FROM mental_health_parity_trend m; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health.patients (patient_id INT, age INT, country VARCHAR(255)); INSERT INTO mental_health.patients (patient_id, age, country) VALUES (1, 35, 'USA'), (2, 40, 'Canada'), (3, 30, 'USA'); CREATE TABLE mental_health.treatments (treatment_id INT, patient_id INT, treatment_name VARCHAR(255)); INSERT INTO ... | What is the average age of patients who received cognitive behavioral therapy (CBT) in the US? | SELECT AVG(p.age) FROM mental_health.patients p INNER JOIN mental_health.treatments t ON p.patient_id = t.patient_id WHERE t.treatment_name = 'CBT' AND p.country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_infra (id INT, name VARCHAR(255), region VARCHAR(255), budget FLOAT, status VARCHAR(255)); INSERT INTO rural_infra (id, name, region, budget, status) VALUES (1, 'Road Construction', 'Oceania', 250000.00, 'completed'); | Calculate the total budget for completed rural infrastructure projects in Oceania. | SELECT SUM(budget) FROM rural_infra WHERE region = 'Oceania' AND status = 'completed'; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name VARCHAR(255)); CREATE TABLE players (player_id INT, player_name VARCHAR(255), team_id INT); CREATE TABLE players_stats (player_id INT, game_id INT, points INT); | What is the average points per game scored by players from the players_stats table, grouped by their team? | SELECT t.team_name, AVG(ps.points) AS avg_points FROM players_stats ps JOIN players p ON ps.player_id = p.player_id JOIN teams t ON p.team_id = t.team_id GROUP BY t.team_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Brands (BrandID INT, BrandName VARCHAR(50), EmployeeCount INT); INSERT INTO Brands (BrandID, BrandName, EmployeeCount) VALUES (1, 'Brand1', 500), (2, 'Brand2', 300), (3, 'Brand3', 700); | Display the number of employees working for each brand. | SELECT BrandName, EmployeeCount FROM Brands; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_offsets (offset_id INT, project_id INT, emission_date DATE, status VARCHAR(255)); INSERT INTO carbon_offsets (offset_id, project_id, emission_date, status) VALUES (1, 1, '2019-01-01', 'active'), (2, 2, '2020-01-01', 'active'), (3, 3, '2018-01-01', 'active'); | Update the carbon_offsets table to set the 'status' column to 'inactive' for all records with an 'emission_date' older than 2020-01-01. | UPDATE carbon_offsets SET status = 'inactive' WHERE emission_date < '2020-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE astro_research (id INT, name VARCHAR(50), location VARCHAR(50), discovery_date DATE, research_type VARCHAR(50)); INSERT INTO astro_research (id, name, location, discovery_date, research_type) VALUES (1, 'Black Hole', 'M87', '2019-04-10', 'Imaging'); INSERT INTO astro_research (id, name, location, discovery... | What are the names and discovery dates of the astrophysics research discovered before the 'Dark Matter' discovery? | SELECT name, discovery_date FROM astro_research WHERE discovery_date < (SELECT discovery_date FROM astro_research WHERE name = 'Dark Matter'); | gretelai_synthetic_text_to_sql |
CREATE TABLE institutions (id INT, name VARCHAR(50), type VARCHAR(20)); INSERT INTO institutions (id, name, type) VALUES (1, 'University X', 'Public'), (2, 'College Y', 'Private'), (3, 'Institute Z', 'Private'); CREATE TABLE enrollments (id INT, institution_id INT, course_type VARCHAR(20), student_count INT); INSERT IN... | What is the number of online course enrollments by institution and course type? | SELECT i.name, e.course_type, SUM(e.student_count) as total_enrolled FROM institutions i JOIN enrollments e ON i.id = e.institution_id GROUP BY i.name, e.course_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Inspections (InspectionID INT, RestaurantID INT, InspectionDate DATETIME, CriticalViolationCount INT); | Show the number of food safety inspections and the percentage of inspections with critical violations for restaurants in Georgia, for the last 12 months. | SELECT RestaurantID, COUNT(*) OVER (PARTITION BY RestaurantID) as TotalInspections, (COUNT(*) FILTER (WHERE CriticalViolationCount > 0) OVER (PARTITION BY RestaurantID) * 100.0 / COUNT(*) OVER (PARTITION BY RestaurantID)) as CriticalViolationPercentage FROM Inspections WHERE RestaurantID IN (SELECT RestaurantID FROM Re... | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, username VARCHAR(50), followers INT); CREATE TABLE posts (id INT, user_id INT, content VARCHAR(500)); | List the top 10 most active users in terms of total number of posts, along with the number of followers they have. | SELECT u.username, u.followers, COUNT(p.id) as total_posts FROM users u JOIN posts p ON u.id = p.user_id GROUP BY u.id ORDER BY total_posts DESC LIMIT 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_investment (country VARCHAR(50), investment_amount INT); | Insert renewable energy investment data for Kenya and Nigeria. | INSERT INTO renewable_investment (country, investment_amount) VALUES ('Kenya', 1200), ('Nigeria', 1800); | gretelai_synthetic_text_to_sql |
CREATE TABLE patch_delays (subsystem VARCHAR(255), delay INT); INSERT INTO patch_delays (subsystem, delay) VALUES ('applications', 5), ('database', 7), ('network', 3); | What is the maximum patch delay for the 'database' subsystem? | SELECT MAX(delay) FROM patch_delays WHERE subsystem = 'database'; | gretelai_synthetic_text_to_sql |
CREATE TABLE runners (athlete_id INT, name VARCHAR(50), races_won INT); INSERT INTO runners (athlete_id, name, races_won) VALUES (1, 'Mo Farah', 10); INSERT INTO runners (athlete_id, name, races_won) VALUES (2, 'Galen Rupp', 8); | What is the total number of races won by each athlete in the 'runners' table? | SELECT name, SUM(races_won) FROM runners GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Garments (id INT, name VARCHAR(255), category VARCHAR(255), color VARCHAR(255), size VARCHAR(10), price DECIMAL(5, 2)); | List all garments that are not available in size 'S' | SELECT * FROM Garments WHERE size != 'S'; | gretelai_synthetic_text_to_sql |
CREATE TABLE plant_temperature (plant_id INT, temp_date DATE, plant_location TEXT, temperature FLOAT); INSERT INTO plant_temperature (plant_id, temp_date, plant_location, temperature) VALUES (1, '2021-06-15', 'Plant A', 32.5), (2, '2021-07-20', 'Plant B', 36.7), (3, '2021-08-05', 'Plant C', 41.2); | What is the maximum temperature recorded in each chemical plant during the summer season, and the corresponding date? | SELECT plant_location, temp_date, MAX(temperature) AS max_temp FROM plant_temperature WHERE temp_date >= DATEADD(month, 5, DATEADD(year, DATEDIFF(year, 0, CURRENT_DATE), 0)) AND temp_date < DATEADD(month, 8, DATEADD(year, DATEDIFF(year, 0, CURRENT_DATE), 0)) GROUP BY plant_location, temp_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_innovation (id INT PRIMARY KEY, completion_date DATE, budget DECIMAL(10, 2), project_name VARCHAR(100)); INSERT INTO military_innovation (id, completion_date, budget, project_name) VALUES (1, '2020-02-28', 300000, 'Project 1'), (2, '2019-05-15', 150000, 'Project 2'), (3, '2018-12-31', 250000, 'Pro... | How many military innovation projects were completed in the last 3 years, with a budget over 200000? | SELECT COUNT(*) FROM military_innovation WHERE completion_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 3 YEAR) AND CURRENT_DATE AND budget > 200000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, DiversityTraining BOOLEAN); INSERT INTO Employees (EmployeeID, DiversityTraining) VALUES (1, 1), (2, 0), (3, 1); | What is the percentage of employees who have completed diversity and inclusion training? | SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Employees)) AS Percentage FROM Employees WHERE DiversityTraining = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, age INT, gender TEXT, treatment TEXT, state TEXT); INSERT INTO patients (patient_id, age, gender, treatment, state) VALUES (1, 30, 'Female', 'CBT', 'Texas'); INSERT INTO patients (patient_id, age, gender, treatment, state) VALUES (2, 45, 'Male', 'DBT', 'California'); INSERT INTO p... | What is the number of patients who identified as female and received therapy in California? | SELECT COUNT(*) FROM patients WHERE gender = 'Female' AND treatment = 'Therapy' AND state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_sustainability (id INT PRIMARY KEY, menu_item VARCHAR(255), sustainability_rating DECIMAL(3,2)); CREATE TABLE menu_items (id INT PRIMARY KEY, menu_item VARCHAR(255), is_vegan BOOLEAN); | Find the average sustainability rating for all vegan menu items | SELECT AVG(sustainability_rating) FROM menu_sustainability ms JOIN menu_items mi ON ms.menu_item = mi.menu_item WHERE mi.is_vegan = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE Species ( id INT PRIMARY KEY, species_name VARCHAR(100), population INT, conservation_status VARCHAR(50)); INSERT INTO Species (id, species_name, population, conservation_status) VALUES (5, 'Vaquita', 10, 'Critically Endangered'); INSERT INTO Species (id, species_name, population, conservation_status) VALU... | How many species are listed as 'Critically Endangered' and their population? | SELECT species_name, population FROM Species WHERE conservation_status = 'Critically Endangered'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Manufacturers (id INT, name VARCHAR(255)); INSERT INTO Manufacturers (id, name) VALUES (1, 'Tesla'); INSERT INTO Manufacturers (id, name) VALUES (2, 'Audi'); CREATE TABLE Autonomous_Vehicles (id INT, manufacturer_id INT, make VARCHAR(255), model VARCHAR(255)); INSERT INTO Autonomous_Vehicles (id, manufactu... | What is the number of autonomous driving research vehicles produced by each manufacturer? | SELECT m.name, COUNT(av.id) FROM Manufacturers m JOIN Autonomous_Vehicles av ON m.id = av.manufacturer_id GROUP BY m.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_transport_cities (city VARCHAR(255), system_name VARCHAR(255), num_vehicles INT); INSERT INTO public_transport_cities (city, system_name, num_vehicles) VALUES ('New York', 'NYC Subway', 6000), ('New York', 'NYC Bus', 2000), ('London', 'London Tube', 4000), ('London', 'London Bus', 3000), ('Paris', '... | What is the total number of public transportation vehicles in the 'public_transport' schema, grouped by city? | SELECT city, SUM(num_vehicles) FROM public_transport_cities GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE CybersecurityIncidents (Incident VARCHAR(50), ImpactLevel VARCHAR(10)); INSERT INTO CybersecurityIncidents (Incident, ImpactLevel) VALUES ('Data Breach', 'High'), ('Phishing Attack', 'Low'), ('Ransomware Attack', 'Medium'), ('Insider Threat', 'High'), ('Botnet Attack', 'Medium'); | List all unique cybersecurity incidents with an impact level of 'high' or 'critical'. | SELECT DISTINCT Incident FROM CybersecurityIncidents WHERE ImpactLevel IN ('High', 'Critical'); | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (id INT, name TEXT, country TEXT, is_eco_friendly BOOLEAN); INSERT INTO hotels (id, name, country, is_eco_friendly) VALUES (1, 'Green Hotel', 'France', true), (2, 'Le Château', 'France', false); CREATE TABLE bookings (id INT, hotel_id INT, revenue INT); INSERT INTO bookings (id, hotel_id, revenue) V... | What is the total revenue generated by eco-friendly hotels in France? | SELECT SUM(bookings.revenue) FROM bookings JOIN hotels ON bookings.hotel_id = hotels.id WHERE hotels.country = 'France' AND hotels.is_eco_friendly = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales(drug_name TEXT, country TEXT, sales_half INT, revenue FLOAT, return_amount FLOAT); INSERT INTO sales (drug_name, country, sales_half, revenue, return_amount) VALUES ('DrugA', 'CountryY', 1, 1200000, 100000), ('DrugB', 'CountryX', 1, 1000000, 50000), ('DrugG', 'CountryI', 1, 1500000, 0), ('DrugC', 'Co... | What was the total revenue for 'DrugG' in 'CountryI' in the first half of 2019, excluding returns? | SELECT SUM(sales.revenue - COALESCE(sales.return_amount, 0)) AS total_revenue FROM sales WHERE drug_name = 'DrugG' AND country = 'CountryI' AND sales_half = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Satellites (SatelliteId INT, Name VARCHAR(50), LaunchDate DATE, OrbitType VARCHAR(50), Country VARCHAR(50)); INSERT INTO Satellites (SatelliteId, Name, LaunchDate, OrbitType, Country) VALUES (5, 'Ekspress-AM5', '2013-12-15', 'GEO', 'Russia'); | What is the earliest launch date of a geostationary satellite from Russia? | SELECT Country, MIN(LaunchDate) FROM Satellites WHERE OrbitType = 'GEO' AND Country = 'Russia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE dams (dam_id INT, dam_name VARCHAR(50), location VARCHAR(50), length DECIMAL(10,2), reservoir_capacity INT); | What is the maximum length of a dam in the 'dams' table? | SELECT MAX(length) FROM dams; | gretelai_synthetic_text_to_sql |
CREATE TABLE drugs (drug_id INT, drug_name TEXT, sales_figure INT, region TEXT); INSERT INTO drugs (drug_id, drug_name, sales_figure, region) VALUES (1, 'DrugA', 500, 'Asia-Pacific'), (2, 'DrugB', 750, 'Europe'); | What are the total sales figures for each drug in the 'drugs' table, including drugs with no sales, in the Asia-Pacific region? | SELECT d.drug_name, COALESCE(SUM(s.sales_figure), 0) AS total_sales FROM drugs d LEFT JOIN sales s ON d.drug_id = s.drug_id WHERE d.region = 'Asia-Pacific' GROUP BY d.drug_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_generation (id INT PRIMARY KEY, location VARCHAR(255), waste_type VARCHAR(255), quantity INT, date DATE); | Update the quantity of 'Plastic Bottles' to 1500 in waste_generation table | UPDATE waste_generation SET quantity = 1500 WHERE waste_type = 'Plastic Bottles'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, volunteer_id INT, donation_amount DECIMAL); INSERT INTO donations (id, volunteer_id, donation_amount) VALUES (1, 1, '100.00'), (2, 1, '75.00'), (3, 2, '25.00'), (4, 2, '150.00'); | Delete all records from the 'donations' table that are under $50. | DELETE FROM donations WHERE donation_amount < 50.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE circular_supply (product_id INT, product_name TEXT, price DECIMAL); INSERT INTO circular_supply (product_id, product_name, price) VALUES (1, 'Reusable Bag', 25), (2, 'Refillable Bottle', 15), (3, 'Solar-Powered Lamp', 60); | What is the maximum price of a product in the circular_supply table? | SELECT MAX(price) FROM circular_supply; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports(id INT, name VARCHAR(255), country VARCHAR(255)); CREATE TABLE vessels(id INT, name VARCHAR(255), flag VARCHAR(255), port_id INT); CREATE TABLE regulatory_authorities(id INT, name VARCHAR(255), country VARCHAR(255)); | List all ports and their corresponding regulatory authority for vessels flying the flag of Panama. | SELECT ports.name, regulatory_authorities.name FROM ports INNER JOIN vessels ON ports.id = vessels.port_id INNER JOIN regulatory_authorities ON ports.country = regulatory_authorities.country WHERE vessels.flag = 'Panama'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tickets (ticket_id INT, game_id INT, quantity INT, price DECIMAL(5,2)); INSERT INTO tickets VALUES (1, 1, 50, 25.99); INSERT INTO tickets VALUES (2, 2, 30, 19.99); CREATE TABLE games (game_id INT, team VARCHAR(20), location VARCHAR(20)); INSERT INTO games VALUES (1, 'Cubs', 'Chicago'); INSERT INTO games VA... | Find the number of tickets sold for each game of the baseball team in Chicago. | SELECT games.team, SUM(tickets.quantity) FROM tickets INNER JOIN games ON tickets.game_id = games.game_id WHERE games.team = 'Cubs' GROUP BY games.team; | gretelai_synthetic_text_to_sql |
CREATE TABLE accessible_vehicles (vehicle_type VARCHAR(50), fleet_name VARCHAR(50), is_accessible BOOLEAN); INSERT INTO accessible_vehicles (vehicle_type, fleet_name, is_accessible) VALUES ('Green Line', 'Bus', true), ('Green Line', 'Train', false), ('Blue Line', 'Bus', true); | Display the number of accessible vehicles in the 'Green Line' fleet | SELECT COUNT(*) FROM accessible_vehicles WHERE fleet_name = 'Green Line' AND is_accessible = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_floor_map (id INT, project_name VARCHAR(255), region VARCHAR(255), avg_depth FLOAT); | What is the average depth of ocean floor mapping project sites in the Pacific region? | SELECT avg(avg_depth) FROM ocean_floor_map WHERE region = 'Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_finance (year INT, country VARCHAR(50), purpose VARCHAR(50), amount FLOAT); INSERT INTO climate_finance (year, country, purpose, amount) VALUES (2019, 'Brazil', 'Mitigation', 500000), (2019, 'India', 'Mitigation', 700000), (2019, 'Indonesia', 'Adaptation', 600000), (2019, 'South Africa', 'Mitigatio... | Which countries received climate finance for mitigation projects in 2019? | SELECT DISTINCT country FROM climate_finance WHERE year = 2019 AND purpose = 'Mitigation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_management (waste_id INT PRIMARY KEY, waste_type VARCHAR(20)); INSERT INTO waste_management (waste_id, waste_type) VALUES (1, 'Non-Toxic'), (2, 'Toxic'), (3, 'Non-Toxic'); | Delete all records in the "waste_management" table where the "waste_type" is 'Toxic' | DELETE FROM waste_management WHERE waste_type = 'Toxic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (exhibition_id INT, name VARCHAR(50), start_date DATE, end_date DATE, day VARCHAR(10)); INSERT INTO Exhibitions (exhibition_id, name, start_date, end_date, day) VALUES (1, 'Impressionist', '2020-05-01', '2021-01-01', 'Saturday'), (2, 'Cubism', '2019-08-15', '2020-03-30', 'Sunday'), (3, 'Surreal... | How many visitors attended each exhibition on Saturday? | SELECT exhibition_id, COUNT(*) FROM Visitors INNER JOIN Exhibitions ON Visitors.exhibition_id = Exhibitions.exhibition_id WHERE day = 'Saturday' GROUP BY exhibition_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(100), release_year INT, studio_country VARCHAR(50)); INSERT INTO movies (id, title, release_year, studio_country) VALUES (1, 'Movie1', 2000, 'USA'), (2, 'Movie2', 2005, 'Canada'), (3, 'Movie3', 2010, 'USA'); | What is the total number of movies produced by studios based in the United States and Canada? | SELECT COUNT(*) FROM movies WHERE studio_country IN ('USA', 'Canada'); | gretelai_synthetic_text_to_sql |
CREATE TABLE students (id INT, region TEXT, start_year INT); CREATE TABLE publications (id INT, student_id INT, year INT); INSERT INTO students (id, region, start_year) VALUES (1, 'Nigeria', 2019); INSERT INTO publications (id, student_id, year) VALUES (1, 1, 2021); | How many publications were made by graduate students from 'Africa' in 2021? | SELECT COUNT(*) FROM publications JOIN students ON publications.student_id = students.id WHERE students.region = 'Nigeria' AND publications.year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE routes (line VARCHAR(10), revenue FLOAT); INSERT INTO routes (line, revenue) VALUES ('red', 15000.00), ('blue', 20000.00), ('green', 12000.00); | What is the total revenue generated from adult passengers in the 'red' line? | SELECT SUM(revenue) FROM routes WHERE line = 'red' AND revenue=(SELECT revenue FROM routes WHERE line = 'red' AND passenger_type = 'adult'); | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (id INT, name VARCHAR(50), category VARCHAR(20)); CREATE TABLE donations (id INT, organization_id INT, amount DECIMAL(10, 2)); INSERT INTO organizations (id, name, category) VALUES (1, 'Org1', 'Arts & Culture'), (2, 'Org2', 'Arts & Culture'), (3, 'Org3', 'Education'), (4, 'Org4', 'Health'); I... | List the top 5 organizations with the highest total donation amounts in the 'Arts & Culture' category. | SELECT organizations.name, SUM(donations.amount) as total_donation FROM organizations JOIN donations ON organizations.id = donations.organization_id WHERE organizations.category = 'Arts & Culture' GROUP BY organizations.name ORDER BY total_donation DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE network_devices (id INT, device_name VARCHAR(255), max_attempts INT); INSERT INTO network_devices (id, device_name, max_attempts) VALUES (1, 'Switch1', 5), (2, 'Router1', 3), (3, 'Firewall1', 7); | What is the maximum number of attempts before a lockout for failed authentication on network devices? | SELECT MAX(max_attempts) FROM network_devices; | gretelai_synthetic_text_to_sql |
CREATE TABLE CoLivingProperties(id INT, name VARCHAR(50), city VARCHAR(20));INSERT INTO CoLivingProperties(id, name, city) VALUES (1, 'GreenSpaces', 'Portland'), (2, 'EcoVillage', 'SanFrancisco'), (3, 'UrbanNest', 'Portland'), (4, 'EcoHaven', 'Austin'); | List the names of the cities with co-living properties and their respective co-living property counts. | SELECT city, COUNT(*) FROM CoLivingProperties GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE co2_emissions (country TEXT, year INT, population INT, co2_emissions FLOAT); INSERT INTO co2_emissions (country, year, population, co2_emissions) VALUES ('Nigeria', 2017, 196.0, 510.0), ('Nigeria', 2022, 205.0, 550.0), ('Kenya', 2017, 49.0, 110.0), ('Kenya', 2022, 52.0, 120.0), ('South Africa', 2017, 57.0,... | What is the average CO2 emissions (tCO2) per capita in Nigeria, Kenya, and South Africa, for the years 2017 and 2022? | SELECT country, AVG(co2_emissions/population) FROM co2_emissions WHERE country IN ('Nigeria', 'Kenya', 'South Africa') AND year IN (2017, 2022) GROUP BY country; | gretelai_synthetic_text_to_sql |
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