context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE forest_type_sequestration (id INT, forest_type VARCHAR(255), total_sequestration FLOAT); INSERT INTO forest_type_sequestration (id, forest_type, total_sequestration) VALUES (1, 'Deciduous', 9000.0), (2, 'Coniferous', 11000.0), (3, 'Mixed', 8000.0); | What is the total carbon sequestration potential for each forest type in the 'forest_type_sequestration' table? | SELECT forest_type, SUM(total_sequestration) FROM forest_type_sequestration GROUP BY forest_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE CourtCases (Id INT, State VARCHAR(50), CaseNumber INT, Disposition VARCHAR(50), SettlementDate DATE); INSERT INTO CourtCases (Id, State, CaseNumber, Disposition, SettlementDate) VALUES (1, 'California', 12345, 'Settled', '2021-02-15'), (2, 'Texas', 67890, 'Proceeding', '2020-12-21'), (3, 'New York', 23456,... | List the case numbers and defendants' names of all cases that were settled out of court in the past 2 years, for each state. | SELECT State, CaseNumber, DefendantName FROM CourtCases WHERE Disposition = 'Settled' AND SettlementDate >= DATEADD(year, -2, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE production_2020 (production_id INT, quarter INT, oil_production FLOAT); INSERT INTO production_2020 (production_id, quarter, oil_production) VALUES (1, 1, 500.2), (2, 1, 550.4), (3, 2, 600.1), (4, 2, 650.3), (5, 3, 700.5), (6, 3, 750.6), (7, 4, 800.7), (8, 4, 850.8); | What was the total oil production for each quarter in 2020? | SELECT quarter, SUM(oil_production) as total_oil_production FROM production_2020 GROUP BY quarter ORDER BY quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE FishStock (StockID INT, Location VARCHAR(50), Year INT, Species VARCHAR(50), OrganicCarbon FLOAT); | What is the total organic carbon content in each fish species' stock, partitioned by farming location and year? | SELECT Location, Species, Year, SUM(OrganicCarbon) OVER (PARTITION BY Location, Species, Year) AS TotalOrganicCarbon FROM FishStock ORDER BY Location, Species, Year; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sprout (customer_id INT, dish_type VARCHAR(15)); INSERT INTO Sprout (customer_id, dish_type) VALUES (7, 'vegetarian'), (8, 'vegan'), (9, 'vegetarian'); CREATE TABLE GreenLeaf (customer_id INT, dish_type VARCHAR(15)); INSERT INTO GreenLeaf (customer_id, dish_type) VALUES (10, 'vegan'), (11, 'vegetarian'), (... | Display the unique customer preferences for 'vegetarian' dishes at 'Sprout' and 'GreenLeaf'. | SELECT customer_id FROM Sprout WHERE dish_type = 'vegetarian' UNION SELECT customer_id FROM GreenLeaf WHERE dish_type = 'vegetarian'; | gretelai_synthetic_text_to_sql |
CREATE TABLE StateServices (State TEXT, Service TEXT); INSERT INTO StateServices (State, Service) VALUES ('State A', 'Education'), ('State A', 'Healthcare'), ('State B', 'Education'), ('State B', 'Healthcare'), ('State B', 'Transportation'), ('State C', 'Education'); | How many public services are available in each state? | SELECT State, COUNT(DISTINCT Service) FROM StateServices GROUP BY State; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, name VARCHAR(50), organic BOOLEAN); INSERT INTO products (product_id, name, organic) VALUES (1, 'Lipstick A', true), (2, 'Lipstick B', false), (3, 'Eyeshadow C', false); CREATE TABLE ingredient_suppliers (ingredient_id INT, supplier_country VARCHAR(50), product_id INT, organic_sou... | Which organic suppliers are used for lipstick products? | SELECT DISTINCT supplier_country FROM ingredient_suppliers WHERE organic_source = true AND ingredient_suppliers.product_id IN (SELECT product_id FROM products WHERE products.name = 'Lipstick A'); | gretelai_synthetic_text_to_sql |
CREATE TABLE cosmetics (product_name TEXT, cruelty_free BOOLEAN, ingredient_source TEXT); INSERT INTO cosmetics (product_name, cruelty_free, ingredient_source) VALUES ('ProductA', true, 'CountryX'), ('ProductB', false, 'CountryY'), ('ProductC', true, 'CountryZ'), ('ProductD', true, 'CountryZ'), ('ProductE', false, 'Cou... | What are the names of the cosmetic products that are certified cruelty-free and source ingredients from country Z? | SELECT product_name FROM cosmetics WHERE cruelty_free = true AND ingredient_source = 'CountryZ'; | gretelai_synthetic_text_to_sql |
CREATE TABLE offshore_platforms (id INT, name VARCHAR(50), location VARCHAR(50), installation_year INT); INSERT INTO offshore_platforms VALUES (1, 'Platform A', 'Asia-Pacific', 2010); INSERT INTO offshore_platforms VALUES (2, 'Platform B', 'Asia-Pacific', 2012); INSERT INTO offshore_platforms VALUES (3, 'Platform C', '... | How many offshore platforms have been installed in the Asia-Pacific region in total? | SELECT COUNT(*) FROM offshore_platforms WHERE location = 'Asia-Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT, timestamp TIMESTAMP, category VARCHAR(255), severity VARCHAR(255)); INSERT INTO vulnerabilities (id, timestamp, category, severity) VALUES (1, '2022-01-01 10:00:00', 'Network Devices', 'High'); | How many vulnerabilities were found in the 'Network Devices' category in the last quarter? | SELECT category, COUNT(*) as vulnerability_count FROM vulnerabilities WHERE timestamp >= DATE_SUB(CURRENT_TIMESTAMP, INTERVAL 3 MONTH) AND category = 'Network Devices' GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sightings (Species VARCHAR(25), Sightings INT); INSERT INTO Sightings (Species, Sightings) VALUES ('Dolphin', 200), ('Turtle', 300), ('Shark', 150), ('Whale', 400), ('Dolphin', 250); | How many sightings of each marine species were recorded? | SELECT Species, COUNT(*) FROM Sightings GROUP BY Species; | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (id INT, name VARCHAR(255)); INSERT INTO programs (id, name) VALUES (1, 'Mentoring'), (2, 'After-School Tutoring'), (3, 'Community Garden'); CREATE TABLE volunteer_hours (id INT, program_id INT, volunteer_id INT, hours INT); INSERT INTO volunteer_hours (id, program_id, volunteer_id, hours) VALUES ... | What is the average number of volunteer hours per volunteer for each program in 2021? | SELECT program_id, AVG(hours) as avg_volunteer_hours FROM volunteer_hours GROUP BY program_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id INT, player_name TEXT); CREATE TABLE games (game_id INT, player_id INT, season TEXT); | How many games did a player play in the last season? | SELECT p.player_name, (SELECT COUNT(*) FROM games g WHERE g.player_id = p.player_id AND g.season = 'last_season') as games_played FROM players p; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_equipment (id INT, equipment_type VARCHAR(20), country_of_origin VARCHAR(20)); INSERT INTO military_equipment (id, equipment_type, country_of_origin) VALUES (1, 'Aircraft', 'USA'), (2, 'Ground Vehicle', 'Russia'), (3, 'Naval Vessel', 'China'); | Delete all records in the 'military_equipment' table where the 'equipment_type' is 'Aircraft' AND the 'country_of_origin' is 'USA' | DELETE FROM military_equipment WHERE equipment_type = 'Aircraft' AND country_of_origin = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE forest_inventory (id INT, forest_type VARCHAR(255), tree_count INT); INSERT INTO forest_inventory (id, forest_type, tree_count) VALUES (1, 'Temperate', 1000), (2, 'Tropical', 2000), (3, 'Boreal', 1500); | How many trees are present in each forest type in the 'forest_inventory' table? | SELECT forest_type, SUM(tree_count) FROM forest_inventory GROUP BY forest_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, account_number INT, amount DECIMAL(10,2), transaction_date DATE); INSERT INTO transactions (transaction_id, account_number, amount, transaction_date) VALUES (1, 999999999, 50.00, '2022-05-01'), (2, 999999999, 50.00, '2022-05-02'); | What is the earliest transaction date for account number 999999999? | SELECT MIN(transaction_date) FROM transactions WHERE account_number = 999999999; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name VARCHAR(50), reg_date DATE, location VARCHAR(30)); INSERT INTO volunteers (id, name, reg_date, location) VALUES (1, 'Alex', '2023-02-01', 'urban'), (2, 'Bella', '2023-01-15', 'rural'), (3, 'Charlie', '2023-03-05', 'suburban'), (4, 'Diana', '2022-07-20', 'rural'), (5, 'Eli', '2022-1... | What is the total number of volunteers from rural areas who have volunteered in the last year? | SELECT COUNT(*) FROM volunteers WHERE location = 'rural' AND reg_date >= DATEADD(year, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (id INT, transaction_hash VARCHAR(255), gas_price INT, timestamp TIMESTAMP); INSERT INTO transactions (id, transaction_hash, gas_price, timestamp) VALUES (1, '0x123...', 10, '2022-02-01 00:00:00'), (2, '0x456...', 12, '2022-02-02 12:34:56'), (3, '0x789...', 8, '2022-02-09 14:23:01'); | What is the average gas price for transactions in the last 30 days, segmented by day? | SELECT DATE(timestamp) as transaction_date, AVG(gas_price) as avg_gas_price FROM transactions WHERE timestamp >= DATE_SUB(NOW(), INTERVAL 30 DAY) GROUP BY transaction_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, account_number INT, amount DECIMAL(10,2), transaction_date DATE); INSERT INTO transactions (transaction_id, account_number, amount, transaction_date) VALUES (1, 123456789, 100.00, '2022-01-05'), (2, 123456789, 200.00, '2022-01-10'), (3, 987654321, 50.00, '2022-02-15'); | List all transactions for account number '123456789' in January 2022. | SELECT * FROM transactions WHERE account_number = 123456789 AND transaction_date BETWEEN '2022-01-01' AND '2022-01-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE whale_sightings (sighting_date DATE, location VARCHAR(255)); INSERT INTO whale_sightings (sighting_date, location) VALUES ('2021-06-15', 'Atlantic Ocean'), ('2022-03-02', 'Atlantic Ocean'); | How many whale sightings were recorded in the Atlantic ocean in the last year? | SELECT COUNT(*) FROM whale_sightings WHERE location = 'Atlantic Ocean' AND sighting_date >= DATEADD(year, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE Terbium_Production (Year INT, Quantity INT); INSERT INTO Terbium_Production (Year, Quantity) VALUES (2016, 700), (2017, 750), (2018, 800), (2019, 850); | List the total production quantity of Terbium for each year it was produced. | SELECT Year, SUM(Quantity) FROM Terbium_Production GROUP BY Year; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryEquipmentSales (id INT PRIMARY KEY, year INT, country VARCHAR(50), equipment VARCHAR(50), value FLOAT); INSERT INTO MilitaryEquipmentSales (id, year, country, equipment, value) VALUES (1, 2022, 'Saudi Arabia', 'Missiles', 1000000); | What is the minimum value of military equipment sales in a single transaction to the Middle East? | SELECT MIN(value) FROM MilitaryEquipmentSales WHERE country LIKE 'Middle East%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (donor_id INT, organization_id INT, amount DECIMAL(10,2), donation_date DATE); INSERT INTO donations (donor_id, organization_id, amount, donation_date) VALUES (1, 101, 500.00, '2022-04-01'), (2, 102, 350.00, '2022-04-15'), (3, 101, 200.00, '2022-04-30'), (1, 101, 50.00, '2022-07-05'), (2, 102, 10... | What is the number of unique donors who made a donation in Q2 2022 and also volunteered in Q3 2022? | SELECT COUNT(DISTINCT donor_id) as unique_donors FROM donations d1 WHERE EXTRACT(QUARTER FROM donation_date) = 2 AND donor_id IN (SELECT donor_id FROM donations d2 WHERE EXTRACT(QUARTER FROM donation_date) = 3); | gretelai_synthetic_text_to_sql |
CREATE TABLE customer_size (id INT, name VARCHAR(50), size VARCHAR(20)); INSERT INTO customer_size (id, name, size) VALUES (1, 'David', 'L'); INSERT INTO customer_size (id, name, size) VALUES (2, 'Eva', 'M'); INSERT INTO customer_size (id, name, size) VALUES (3, 'Frank', 'S'); INSERT INTO customer_size (id, name, size)... | Find the least popular size among customers | SELECT size, COUNT(*) FROM customer_size GROUP BY size ORDER BY COUNT(*) ASC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_efficiency (vehicle TEXT, rating FLOAT); INSERT INTO vehicle_efficiency (vehicle, rating) VALUES ('Car A', 8.0), ('Bus B', 6.5), ('Truck C', 4.0), ('Motorcycle D', 3.0); | What is the energy efficiency rating of vehicles in South Korea? | SELECT vehicle, rating FROM vehicle_efficiency WHERE vehicle IN ('Car A', 'Bus B', 'Truck C', 'Motorcycle D'); | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates(location VARCHAR(50), date DATE, recycling_rate DECIMAL(5,2)); INSERT INTO recycling_rates(location, date, recycling_rate) VALUES ('California', '2022-01-01', 0.65), ('California', '2022-01-02', 0.67), ('California', '2022-01-03', 0.68), ('California', '2022-04-01', 0.70), ('California', '2... | What is the average recycling rate for residential areas in California over the last 3 months? | SELECT AVG(recycling_rate) FROM recycling_rates WHERE location = 'California' AND date BETWEEN '2022-01-01' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_sales_3 (id INT, region VARCHAR, year INT, value FLOAT); | Insert new record of military equipment sale to 'South America' in 2021 | INSERT INTO military_sales_3 (id, region, year, value) VALUES (1, 'South America', 2021, 500000); | gretelai_synthetic_text_to_sql |
CREATE TABLE Artist (ArtistID INT, ArtistName TEXT, Continent TEXT); INSERT INTO Artist (ArtistID, ArtistName, Continent) VALUES (1, 'Vincent Van Gogh', 'Europe'); | Which artists have the most artwork entries in the database, grouped by continent? | SELECT Continent, ArtistName, COUNT(*) as ArtworkCount FROM Artist GROUP BY Continent, ArtistName ORDER BY Continent, COUNT(*) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE education_programs (id INT, program_name VARCHAR(50), location VARCHAR(50), participants INT); INSERT INTO education_programs (id, program_name, location, participants) VALUES (1, 'Wildlife Conservation', 'New York', 100), (2, 'Habitat Restoration', 'Los Angeles', 150), (3, 'Bird Watching', 'Chicago', 75),... | List all the unique locations where 'Habitat Restoration' programs are being conducted from the 'education_programs' table? | SELECT DISTINCT location FROM education_programs WHERE program_name = 'Habitat Restoration' | gretelai_synthetic_text_to_sql |
CREATE TABLE public_events (event_id INT, city VARCHAR(20), year INT, month INT, events_held INT); INSERT INTO public_events (event_id, city, year, month, events_held) VALUES (1, 'Los Angeles', 2021, 1, 10); | Determine the number of public events held in the city of Los Angeles in each month of the year 2021 | SELECT month, SUM(events_held) FROM public_events WHERE city = 'Los Angeles' AND year = 2021 GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE Budget (year INT, cybersecurity_budget INT, other_budget INT); INSERT INTO Budget (year, cybersecurity_budget, other_budget) VALUES (2018, 5000000, 15000000); INSERT INTO Budget (year, cybersecurity_budget, other_budget) VALUES (2019, 5500000, 16000000); | What is the average budget for cybersecurity operations in the 'Budget' table? | SELECT AVG(cybersecurity_budget) FROM Budget; | gretelai_synthetic_text_to_sql |
CREATE TABLE Budget(year INT, department VARCHAR(20), amount INT); INSERT INTO Budget VALUES (2021, 'Healthcare', 7000000), (2021, 'Education', 5000000), (2022, 'Healthcare', 7800000), (2022, 'Education', 5500000); | What was the total budget allocated for the 'Healthcare' department in the year 2021? | SELECT SUM(amount) FROM Budget WHERE department = 'Healthcare' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (hotel_id INT, name TEXT, city TEXT, virtual_tour BOOLEAN); | What is the number of hotels in 'Rio de Janeiro' with virtual tours? | SELECT city, COUNT(*) as num_hotels FROM hotels WHERE city = 'Rio de Janeiro' AND virtual_tour = TRUE GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE explainability_scores (id INT PRIMARY KEY, algorithm_name VARCHAR(50), explanation_score INT, evaluation_date DATE); | Update records in the 'explainability_scores' table where the 'algorithm_name' is 'DL Algo 2' and the 'explanation_score' is less than 60 | UPDATE explainability_scores SET explanation_score = explanation_score + 15 WHERE algorithm_name = 'DL Algo 2' AND explanation_score < 60; | gretelai_synthetic_text_to_sql |
CREATE TABLE machinery (machinery_id INT, plant_id INT, machinery_type VARCHAR(50)); INSERT INTO machinery (machinery_id, plant_id, machinery_type) VALUES (1, 1, 'CNC Milling'), (2, 1, 'Lathe'), (3, 2, '3D Printer'), (4, 2, 'Injection Molding'), (5, 3, 'CNC Milling'), (6, 3, 'Lathe'); | List all unique machinery types used in the 'Engineering' department across all plants. | SELECT DISTINCT machinery_type FROM machinery WHERE plant_id IN (SELECT plant_id FROM plants WHERE department = 'Engineering'); | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_city_technology (tech_id INT, tech_name VARCHAR(100), adoption_date DATE); INSERT INTO smart_city_technology (tech_id, tech_name, adoption_date) VALUES (1, 'Smart Grid', '2020-03-15'), (2, 'Smart Lighting', '2019-08-01'); | What is the latest smart city technology adoption date in the 'smart_city_technology' table? | SELECT MAX(adoption_date) FROM smart_city_technology; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT, Name TEXT);CREATE TABLE Artworks (ArtworkID INT, Title TEXT, Genre TEXT, ArtistID INT); INSERT INTO Artists (ArtistID, Name) VALUES (1, 'Pablo Picasso'); INSERT INTO Artworks (ArtworkID, Title, Genre, ArtistID) VALUES (1, 'Guernica', 'Cubism', 1), (2, 'The Old Guitarist', 'Blue Perio... | Delete all artworks by Pablo Picasso. | DELETE FROM Artworks WHERE ArtistID = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE news_articles (id INT, title VARCHAR(100), publication_date DATE, category VARCHAR(50)); INSERT INTO news_articles (id, title, publication_date, category) VALUES (1, 'Article 1', '2022-01-01', 'Politics'), (2, 'Article 2', '2022-01-02', 'Sports'); | What is the distribution of articles by category in 'news_articles' table? | SELECT category, COUNT(*) as num_articles, ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) as rank FROM news_articles GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE posts (id INT, user_id INT, timestamp DATETIME, content TEXT, hashtags TEXT); | Insert a new post with the content 'Hello world!' and hashtags '#hello' and '#world' into the 'posts' table. | INSERT INTO posts (id, user_id, timestamp, content, hashtags) VALUES (1, 1, NOW(), 'Hello world!', '#hello #world'); | gretelai_synthetic_text_to_sql |
CREATE TABLE visitor_workshops (visitor_id INT, state VARCHAR(20), workshop_name VARCHAR(50)); INSERT INTO visitor_workshops (visitor_id, state, workshop_name) VALUES (1, 'California', 'Painting'), (2, 'New York', 'Sculpture'), (3, 'Texas', 'Digital Art'); | How many visitors from California engaged with the digital museum's online workshops? | SELECT state, COUNT(*) as num_visitors FROM visitor_workshops WHERE state = 'California' GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (id INT, registered_date DATE);CREATE TABLE investments (id INT, client_id INT, investment_date DATE); INSERT INTO clients (id, registered_date) VALUES (1, '2020-01-01'), (2, '2019-01-01'), (3, '2018-01-01'), (4, '2017-01-01'); INSERT INTO investments (id, client_id, investment_date) VALUES (1, 1, ... | What is the maximum number of investments made by a client in a single month? | SELECT client_id, MAX(COUNT(*)) FROM investments GROUP BY client_id, DATE_TRUNC('month', investment_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_sales (sales_id INT PRIMARY KEY, garment_id INT, store_id INT, quantity INT, price DECIMAL(5,2), date DATE); CREATE TABLE garments (garment_id INT PRIMARY KEY, garment_name TEXT, garment_category TEXT, sustainability_score INT); INSERT INTO garments (garment_id, garment_name, garment_category, sust... | Which garment has the highest total sales quantity? | SELECT g.garment_name, SUM(gs.quantity) as total_quantity FROM garment_sales gs JOIN garments g ON gs.garment_id = g.garment_id GROUP BY g.garment_name ORDER BY total_quantity DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE AircraftDimensions (Model VARCHAR(50), Wingspan INT, FuselageLength INT); INSERT INTO AircraftDimensions (Model, Wingspan, FuselageLength) VALUES ('Boeing 747', 211, 232), ('Boeing 787 Dreamliner', 197, 186), ('Airbus A320', 118, 124), ('Airbus A380', 262, 245), ('Bombardier CRJ700', 91, 124); | Which aircraft models have a wingspan greater than their fuselage length? | SELECT Model FROM AircraftDimensions WHERE Wingspan > FuselageLength; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (id INT, name VARCHAR(255), continent VARCHAR(255)); INSERT INTO countries (id, name, continent) VALUES (1, 'USA', 'North America'), (2, 'Canada', 'North America'), (3, 'Mexico', 'North America'), (4, 'Brazil', 'South America'), (5, 'Argentina', 'South America'); | How many players from each continent play Non-VR games? | SELECT c.continent, COUNT(DISTINCT p.id) as num_players FROM players p JOIN player_games pg ON p.id = pg.player_id JOIN games g ON pg.game_id = g.id JOIN countries c ON p.country = c.name WHERE g.category = 'Non-VR' GROUP BY c.continent; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA SouthAmerica; CREATE TABLE MilitarySatellites (id INT, name VARCHAR(255), type VARCHAR(255), in_orbit BOOLEAN); INSERT INTO MilitarySatellites (id, name, type, in_orbit) VALUES (1, 'SGE-SC', 'Earth Observation', true); INSERT INTO MilitarySatellites (id, name, type, in_orbit) VALUES (2, 'GEO-I', 'Communic... | How many military satellites are there in the 'SouthAmerica' schema? | SELECT COUNT(*) FROM SouthAmerica.MilitarySatellites WHERE in_orbit = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_hospitals (id INT, state VARCHAR(2), hospital_name VARCHAR(50), num_beds INT); INSERT INTO rural_hospitals (id, state, hospital_name, num_beds) VALUES (1, 'AK', 'Bartlett Regional Hospital', 72); CREATE TABLE states (state_abbr VARCHAR(2), state_name VARCHAR(20)); INSERT INTO states (state_abbr, stat... | What is the total number of rural hospitals in each state, and the average number of hospital beds? | SELECT r.state, COUNT(r.id) AS num_hospitals, AVG(r.num_beds) AS avg_beds FROM rural_hospitals r JOIN states s ON r.state = s.state_abbr GROUP BY r.state; | gretelai_synthetic_text_to_sql |
CREATE TABLE workplace_data (workplace_id INT, workplace_name TEXT); CREATE TABLE collective_bargaining (agreement_status TEXT, workplace_id INT); | List all unique workplace names from the 'workplace_data' table that do not have any records in the 'collective_bargaining' table. | SELECT DISTINCT workplace_data.workplace_name FROM workplace_data LEFT JOIN collective_bargaining ON workplace_data.workplace_id = collective_bargaining.workplace_id WHERE collective_bargaining.workplace_id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE attendee_demographics (attendee_id INT, attendee_name VARCHAR(50), attendee_gender VARCHAR(50)); INSERT INTO attendee_demographics (attendee_id, attendee_name, attendee_gender) VALUES (1, 'Jane Smith', 'Female'), (2, 'Michael Johnson', 'Male'), (3, 'Sophia Rodriguez', 'Female'); CREATE TABLE event_attendan... | How many female attendees were there at the 'Dance Recital'? | SELECT COUNT(*) FROM attendee_demographics ad JOIN event_attendance ea ON ad.attendee_id = ea.attendee_id WHERE attendee_gender = 'Female' AND event_name = 'Dance Recital'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Patients (PatientID INT, Age INT, TetanusShot DATE, State TEXT); INSERT INTO Patients (PatientID, Age, TetanusShot, State) VALUES (1, 30, '2020-05-01', 'Florida'); | What is the minimum age of patients who have had a tetanus shot in the last 10 years in Florida? | SELECT MIN(Age) FROM Patients WHERE TetanusShot >= DATEADD(year, -10, GETDATE()) AND State = 'Florida'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_name VARCHAR(50), donation_amount DECIMAL(10,2), donation_date DATE, category VARCHAR(50)); INSERT INTO donations (id, donor_name, donation_amount, donation_date, category) VALUES (1, 'John Doe', 100, '2022-01-01', 'Education'), (2, 'Jane Smith', 150, '2022-03-15', 'Health'); | What is the total donation amount per category in Q1 2022? | SELECT category, SUM(donation_amount) as total_donation FROM donations WHERE donation_date BETWEEN '2022-01-01' AND '2022-03-31' GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE legaltech_patents (patent_id INT, filing_year INT, company VARCHAR(50)); INSERT INTO legaltech_patents (patent_id, filing_year, company) VALUES (1, 2019, 'TechCorp'), (2, 2020, 'LegalLabs'), (3, 2019, 'JusticeTech'), (4, 2018, 'TechCorp'), (5, 2020, 'JusticeTech'); | List the top 5 legaltech patents filed by year, ordered by the number of patents filed | SELECT filing_year, COUNT(*) AS num_patents FROM legaltech_patents GROUP BY filing_year ORDER BY num_patents DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE drugs (id INT, name VARCHAR(255), category VARCHAR(255)); CREATE TABLE rd_expenditures (id INT, drug_id INT, amount DECIMAL(10, 2)); | What is the average R&D expenditure for a specific drug category? | SELECT AVG(rd_expenditures.amount) FROM rd_expenditures JOIN drugs ON rd_expenditures.drug_id = drugs.id WHERE drugs.category = 'Pain Relievers'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, country VARCHAR(255), followers INT); INSERT INTO users (id, country, followers) VALUES (1, 'Brazil', 1000), (2, 'USA', 2000), (3, 'Brazil', 3000), (4, 'USA', 4000); | What is the total number of followers for users in Brazil? | SELECT SUM(followers) FROM users WHERE country = 'Brazil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_buses (bus_id INT, city VARCHAR(20), in_operation BOOLEAN); INSERT INTO autonomous_buses (bus_id, city, in_operation) VALUES (1, 'New York', TRUE), (2, 'New York', FALSE), (3, 'Chicago', TRUE), (4, 'Chicago', TRUE), (5, 'Los Angeles', FALSE), (6, 'Los Angeles', TRUE); | How many autonomous buses are in operation in New York, Chicago, and Los Angeles? | SELECT city, COUNT(*) FROM autonomous_buses WHERE in_operation = TRUE GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE dapps (id INT, name TEXT, category TEXT, launch_date DATE); INSERT INTO dapps (id, name, category, launch_date) VALUES (1, 'AppA', 'DeFi', '2020-01-01'), (2, 'AppB', 'DeFi', '2019-06-15'), (3, 'AppC', 'NFT', '2021-03-20'); CREATE TABLE regulatory_frameworks (id INT, dapp_id INT, name TEXT, implementation_d... | List the regulatory frameworks for each decentralized application in the 'DeFi' category, ordered by the date of implementation. | SELECT d.name, r.name, r.implementation_date FROM dapps d JOIN regulatory_frameworks r ON d.id = r.dapp_id WHERE d.category = 'DeFi' ORDER BY r.implementation_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE golf_players (player_id INT, name VARCHAR(50), age INT); INSERT INTO golf_players (player_id, name, age) VALUES (1, 'Tiger Woods', 45); INSERT INTO golf_players (player_id, name, age) VALUES (2, 'Phil Mickelson', 51); | Who is the oldest athlete in the 'golf_players' table? | SELECT name, MAX(age) FROM golf_players; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (region TEXT, year INT, amount FLOAT); INSERT INTO investments (region, year, amount) VALUES ('Asia', 2010, 100000); INSERT INTO investments (region, year, amount) VALUES ('South America', 2010, 50000); | What's the total investment in climate communication in Asia and South America from 2010 to 2020? | SELECT SUM(amount) FROM investments WHERE region IN ('Asia', 'South America') AND year BETWEEN 2010 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE wind_energy (country VARCHAR(20), installed_capacity INT); INSERT INTO wind_energy (country, installed_capacity) VALUES ('Germany', 60000), ('France', 45000); | What is the total installed capacity of wind energy in Germany and France, and which one has a higher capacity? | SELECT w1.country, SUM(w1.installed_capacity) as total_capacity FROM wind_energy w1 WHERE w1.country IN ('Germany', 'France') GROUP BY w1.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_tourism (tourism_id INT, location VARCHAR(50), economic_impact INT); INSERT INTO sustainable_tourism VALUES (1, 'Maasai Mara', 15000), (2, 'Victoria Falls', 20000), (3, 'Sahara Desert', 10000), (4, 'Serengeti', 25000); | What is the sum of economic impact of sustainable tourism in Africa? | SELECT SUM(economic_impact) FROM sustainable_tourism WHERE location LIKE '%Africa%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (id INT, name TEXT, genre TEXT, visitor_count INT); | Find the exhibition with the highest visitor count in the 'Renaissance' genre. | SELECT name, visitor_count FROM (SELECT name, visitor_count, ROW_NUMBER() OVER (PARTITION BY genre ORDER BY visitor_count DESC) as rn FROM Exhibitions WHERE genre = 'Renaissance') t WHERE rn = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpaceLaunchs (LaunchID INT, Country VARCHAR(50), SatelliteID INT); INSERT INTO SpaceLaunchs (LaunchID, Country, SatelliteID) VALUES (1, 'USA', 101), (2, 'Russia', 201), (3, 'China', 301), (4, 'India', 401), (5, 'Japan', 501); | What is the total number of satellites launched by country in the SpaceLaunchs table? | SELECT Country, COUNT(SatelliteID) AS TotalSatellites FROM SpaceLaunchs GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE treatments (id INT PRIMARY KEY, patient_id INT, name VARCHAR(255), duration INT); INSERT INTO treatments (id, patient_id, name, duration) VALUES (1, 3, 'Psychotherapy', 20); | What is the treatment duration for the patient with ID 3? | SELECT duration FROM treatments WHERE patient_id = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE wildlife (region VARCHAR(50), species VARCHAR(50), conservation_status VARCHAR(50)); INSERT INTO wildlife (region, species, conservation_status) VALUES ('North America', 'Grizzly Bear', 'Vulnerable'), ('North America', 'Caribou', 'Threatened'), ('South America', 'Jaguar', 'Near Threatened'); | How many wildlife species are present in each region and their conservation status? | SELECT region, COUNT(species) as species_count, STRING_AGG(conservation_status, ',') as conservation_status FROM wildlife GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE TrafficViolations (id INT, violation_type VARCHAR(50), location VARCHAR(50), fine DECIMAL(5,2)); INSERT INTO TrafficViolations (id, violation_type, location, fine) VALUES (1, 'Speeding', 'School Zone', 100), (2, 'Illegal Parking', 'Business District', 50), (3, 'Speeding', 'Residential Area', 80), (4, 'Runn... | What is the total number of traffic violations in the "TrafficViolations" table, per type of violation, for violations that occurred in school zones? | SELECT violation_type, COUNT(*) as num_violations FROM TrafficViolations WHERE location LIKE '%School%' GROUP BY violation_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_facilities (id INT, name VARCHAR, state VARCHAR, cultural_competency_score INT); INSERT INTO mental_health_facilities (id, name, state, cultural_competency_score) VALUES (1, 'Facility One', 'California', 85); INSERT INTO mental_health_facilities (id, name, state, cultural_competency_score) VA... | What is the average cultural competency score for mental health facilities in California? | SELECT state, AVG(cultural_competency_score) as avg_score FROM mental_health_facilities WHERE state = 'California' GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE social_impact_investments (id INT, country VARCHAR(50), transaction_value FLOAT); INSERT INTO social_impact_investments (id, country, transaction_value) VALUES (1, 'United States', 5000.0), (2, 'Canada', 7000.0), (3, 'United Kingdom', 10000.0), (4, 'Germany', 3000.0); | What is the minimum transaction value for social impact investments in Germany? | SELECT MIN(transaction_value) FROM social_impact_investments WHERE country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity (id INT, date DATE, capacity INT); INSERT INTO landfill_capacity (id, date, capacity) VALUES (1, '2021-01-01', 10000), (2, '2021-02-01', 9500), (3, '2021-03-01', 9200), (4, '2021-04-01', 8900); | Delete landfill capacity data for January 2021. | DELETE FROM landfill_capacity WHERE date = '2021-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fan_demographics (age INT, gender VARCHAR(10), location VARCHAR(20)); | Insert a new record into the 'fan_demographics' table with age 35, gender 'Female' and location 'California' | INSERT INTO fan_demographics (age, gender, location) VALUES (35, 'Female', 'California'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Site (SiteID VARCHAR(10), SiteName VARCHAR(20)); INSERT INTO Site (SiteID, SiteName) VALUES ('F', 'Site F'); CREATE TABLE Artifact (ArtifactID VARCHAR(10), SiteID VARCHAR(10), Weight FLOAT); INSERT INTO Artifact (ArtifactID, SiteID, Weight) VALUES ('1', 'F', 12.3), ('2', 'F', 15.6), ('3', 'F', 18.9), ('4',... | What is the maximum weight of artifacts excavated from 'Site F'? | SELECT MAX(Weight) FROM Artifact WHERE SiteID = 'F'; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(255), release_year INT, director VARCHAR(255), rating DECIMAL(3,2)); | What is the average rating of movies by director? | SELECT director, AVG(rating) as avg_rating FROM movies GROUP BY director; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (id INT, name TEXT, region TEXT); INSERT INTO countries (id, name, region) VALUES (1, 'Country1', 'Africa'), (2, 'Country2', 'Asia'), (3, 'Country3', 'Europe'); CREATE TABLE military_humanitarian_assistance (id INT, country_id INT, year INT); INSERT INTO military_humanitarian_assistance (id, coun... | Which countries received military humanitarian assistance in 2020? | SELECT DISTINCT countries.name FROM countries JOIN military_humanitarian_assistance ON countries.id = military_humanitarian_assistance.country_id WHERE military_humanitarian_assistance.year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE dish_prep_times (id INT, dish_id INT, prep_time INT); CREATE TABLE dishes (id INT, name TEXT, is_vegan BOOLEAN); | What are the average preparation times for vegan dishes compared to non-vegan dishes? | SELECT AVG(prep_time) as avg_prep_time FROM dish_prep_times JOIN dishes ON dish_prep_times.dish_id = dishes.id WHERE dishes.is_vegan = true; SELECT AVG(prep_time) as avg_prep_time FROM dish_prep_times JOIN dishes ON dish_prep_times.dish_id = dishes.id WHERE dishes.is_vegan = false; | gretelai_synthetic_text_to_sql |
CREATE TABLE Menu (menu_id INT, menu_name VARCHAR(20)); INSERT INTO Menu (menu_id, menu_name) VALUES (1, 'Vegan'), (2, 'Non-Vegan'); CREATE TABLE Menu_Ingredients (ingredient_id INT, ingredient_cost FLOAT, menu_id INT); INSERT INTO Menu_Ingredients (ingredient_id, ingredient_cost, menu_id) VALUES (1, 5.0, 1), (2, 3.5, ... | What is the total cost of ingredients for the vegan menu? | SELECT SUM(ingredient_cost) FROM Menu_Ingredients WHERE menu_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Subscribers (subscriber_id INT, service VARCHAR(20), region VARCHAR(20), revenue FLOAT, payment_date DATE); | Insert a new subscriber for the 'Mobile' service in the 'Rural' region with a revenue of 25.00 in Q3 of 2022. | INSERT INTO Subscribers (subscriber_id, service, region, revenue, payment_date) VALUES (6, 'Mobile', 'Rural', 25.00, '2022-10-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE LandfillCapacity (country VARCHAR(255), landfill_capacity_cubic_meters DECIMAL(15,2), region VARCHAR(255)); INSERT INTO LandfillCapacity (country, landfill_capacity_cubic_meters, region) VALUES ('Japan', 45000000.0, 'Asia'), ('China', 75000000.0, 'Asia'), ('India', 55000000.0, 'Asia'); | What is the total landfill capacity in cubic meters for Asia? | SELECT SUM(landfill_capacity_cubic_meters) FROM LandfillCapacity WHERE region = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage (location VARCHAR(255), usage INT); | Insert new records into the water_usage table | INSERT INTO water_usage (location, usage) VALUES ('City D', 30), ('City E', 40); | gretelai_synthetic_text_to_sql |
CREATE TABLE high_data_users (subscriber_id INT, name VARCHAR(50), data_usage_gb FLOAT); INSERT INTO high_data_users (subscriber_id, name, data_usage_gb) VALUES (13, 'Kai Lewis', 12); INSERT INTO high_data_users (subscriber_id, name, data_usage_gb) VALUES (14, 'Lila Clark', 15); | Update mobile subscribers' data plans if they have used more than 10GB of data in the last week. | UPDATE mobile_subscribers M SET data_plan = 'Unlimited' FROM mobile_subscribers M INNER JOIN high_data_users H ON M.subscriber_id = H.subscriber_id WHERE M.data_plan != 'Unlimited' AND H.data_usage_gb > 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE biomes (biome_id INT PRIMARY KEY, name VARCHAR(50), area_km2 FLOAT); INSERT INTO biomes (biome_id, name, area_km2) VALUES (1, 'Tropical Rainforest', 15000000.0), (2, 'Temperate Rainforest', 250000.0), (3, 'Boreal Forest', 12000000.0); CREATE TABLE trees (tree_id INT PRIMARY KEY, species VARCHAR(50), biome_... | What is the average DBH for trees in the tropical rainforest that belong to the Dipterocarpaceae family? | SELECT AVG(dbh) FROM trees WHERE trees.family = 'Dipterocarpaceae' AND biomes.name = 'Tropical Rainforest'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MiningEnvironmentalImpact (year INT, company TEXT, country TEXT, impact_assessment_score INT); INSERT INTO MiningEnvironmentalImpact (year, company, country, impact_assessment_score) VALUES (2020, 'Canada Gold Corp', 'Canada', 80), (2021, 'Canada Gold Corp', 'Canada', 85), (2020, 'Australian Mining Inc', '... | What are the top 3 countries with the highest environmental impact assessments for mining companies, for the last 2 years? | SELECT context.country, SUM(context.impact_assessment_score) as total_impact_score FROM MiningEnvironmentalImpact context WHERE context.year BETWEEN 2020 AND 2021 GROUP BY context.country ORDER BY total_impact_score DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE intelligence_operations (id INT, name VARCHAR(50), location VARCHAR(50), year INT); INSERT INTO intelligence_operations (id, name, location, year) VALUES (1, 'Operation Red Sword', 'Middle East', 2018); | How many intelligence operations were conducted in the Middle East and North Africa between 2015 and 2020? | SELECT COUNT(*) FROM intelligence_operations WHERE location IN ('Middle East', 'North Africa') AND year BETWEEN 2015 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE excavation_sites (site_id INT, site_name VARCHAR(255)); INSERT INTO excavation_sites (site_id, site_name) VALUES (1, 'Peruvian Ruins'), (2, 'Brazilian Dig'), (3, 'Argentine Excavation'); CREATE TABLE artifacts (artifact_id INT, artifact_name VARCHAR(255), site_id INT, artifact_weight FLOAT, artifact_materi... | What is the count of stone artifacts from excavation sites in South America? | SELECT COUNT(*) FROM artifacts JOIN excavation_sites ON artifacts.site_id = excavation_sites.site_id WHERE excavation_sites.site_name LIKE '%South America%' AND artifacts.artifact_material = 'Stone'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_policing (policing_type VARCHAR(255), frequency INT, location VARCHAR(255)); | Create a view to display the total number of community policing activities by location | CREATE VIEW total_policing_activities AS SELECT location, SUM(frequency) as total_frequency FROM community_policing GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (ExhibitionID INT, ExhibitionName VARCHAR(100), City VARCHAR(50)); CREATE TABLE Visits (VisitID INT, ExhibitionID INT, VisitorID INT); INSERT INTO Exhibitions (ExhibitionID, ExhibitionName, City) VALUES (1, 'Mona Lisa', 'Paris'), (2, 'Starry Night', 'Amsterdam'), (3, 'Sunflowers', 'Amsterdam'),... | Find the top 3 most visited exhibitions by city and the number of visitors? | SELECT City, ExhibitionName, COUNT(VisitorID) AS NumberOfVisitors FROM Exhibitions A JOIN Visits B ON A.ExhibitionID = B.ExhibitionID GROUP BY City, ExhibitionName ORDER BY City, NumberOfVisitors DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE product (product_id INT, product_name TEXT); CREATE TABLE ingredient (ingredient_id INT, product_id INT, weight FLOAT, country TEXT); INSERT INTO product VALUES (1, 'Lipstick'), (2, 'Moisturizer'); INSERT INTO ingredient VALUES (1, 1, 50.0, 'CA'), (2, 1, 25.0, 'US'), (3, 2, 30.0, 'CA'); | What is the total weight of all ingredients for each product? | SELECT p.product_name, SUM(i.weight) FROM product p JOIN ingredient i ON p.product_id = i.product_id GROUP BY p.product_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE crops (id INT, crop_name VARCHAR(20), country VARCHAR(20), production INT, year INT); INSERT INTO crops (id, crop_name, country, production, year) VALUES (1, 'wheat', 'USA', 50000, 2020), (2, 'rice', 'China', 60000, 2020); | What is the total production of 'wheat' and 'rice' for each country in 2020, sorted by production amount? | SELECT country, SUM(production) as total_production FROM crops WHERE crop_name IN ('wheat', 'rice') AND year = 2020 GROUP BY country ORDER BY total_production DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE IF NOT EXISTS humanitarian_assistance (id INT PRIMARY KEY, year INT, num_missions INT); | How many humanitarian assistance missions were conducted by year? | SELECT year, SUM(num_missions) FROM humanitarian_assistance GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE investors(id INT, name TEXT, region TEXT, socially_responsible BOOLEAN); CREATE TABLE investments(id INT, investor_id INT, startup_id INT, investment_amount FLOAT); INSERT INTO investors (id, name, region, socially_responsible) VALUES (1, 'Pedro Alvarez', 'Latin America', true); INSERT INTO investors (id, ... | List the total investment made by socially responsible investors from Latin America | SELECT SUM(investment_amount) FROM investments i JOIN investors a ON i.investor_id = a.id WHERE a.region = 'Latin America' AND a.socially_responsible = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE deep_sea_expeditions (id INT, name TEXT, organization TEXT, max_depth FLOAT); INSERT INTO deep_sea_expeditions (id, name, organization, max_depth) VALUES (1, 'Expedition 1', 'Ocean Explorers', 8000.0), (2, 'Expedition 2', 'Ocean Researchers', 10000.0), (3, 'Expedition 3', 'Ocean Explorers', 6000.0); | What is the average depth of all deep-sea expeditions led by the 'Ocean Explorers' organization? | SELECT AVG(max_depth) FROM deep_sea_expeditions WHERE organization = 'Ocean Explorers'; | gretelai_synthetic_text_to_sql |
CREATE TABLE drug_sales (drug_name TEXT, year INTEGER, sales INTEGER, market TEXT); INSERT INTO drug_sales (drug_name, year, sales, market) VALUES ('DrugA', 2018, 3000000, 'US'); INSERT INTO drug_sales (drug_name, year, sales, market) VALUES ('DrugB', 2018, 1500000, 'Canada'); INSERT INTO drug_sales (drug_name, year, s... | What is the earliest approval date for drugs that have a sales figure greater than 2000000 in any market? | SELECT MIN(drug_approval.approval_date) FROM drug_approval JOIN drug_sales ON drug_approval.drug_name = drug_sales.drug_name WHERE drug_sales.sales > 2000000; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage ( date DATE, usage_category VARCHAR(20), region VARCHAR(20), usage_amount INT ); INSERT INTO water_usage (date, usage_category, region, usage_amount) VALUES ( '2022-07-01', 'Residential', 'Northeast', 15000), ('2022-07-02', 'Industrial', 'Midwest', 200000), ('2022-07-03', 'Agricultural', 'West'... | Find the water usage data with the highest usage amount in the water_usage table | SELECT * FROM water_usage WHERE usage_amount = (SELECT MAX(usage_amount) FROM water_usage); | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_urbanism (property_id INT, size FLOAT, location VARCHAR(255)); INSERT INTO sustainable_urbanism (property_id, size, location) VALUES (1, 1200, 'Eco City'), (2, 1500, 'Green Valley'); | Which properties in the sustainable_urbanism table have a size larger than the average property size? | SELECT * FROM sustainable_urbanism WHERE size > (SELECT AVG(size) FROM sustainable_urbanism); | gretelai_synthetic_text_to_sql |
CREATE TABLE Mining_Operation (Operation_ID INT, Mine_Name VARCHAR(50), Location VARCHAR(50), Operation_Type VARCHAR(50), Start_Date DATE, End_Date DATE); CREATE TABLE Environmental_Impact (Impact_ID INT, Operation_ID INT, Date DATE, Carbon_Emissions INT, Water_Usage INT, Waste_Generation INT); | Rank the mining operations with the highest carbon emissions in the past year. | SELECT Operation_ID, Mine_Name, Carbon_Emissions, RANK() OVER (ORDER BY SUM(Carbon_Emissions) DESC) AS Carbon_Emissions_Rank FROM Environmental_Impact JOIN Mining_Operation ON Environmental_Impact.Operation_ID = Mining_Operation.Operation_ID WHERE Date >= DATEADD(year, -1, GETDATE()) GROUP BY Operation_ID, Mine_Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE cybersecurity_strategies (id INT PRIMARY KEY, strategy VARCHAR(50), cost INT, sector VARCHAR(50), year INT); INSERT INTO cybersecurity_strategies (id, strategy, cost, sector, year) VALUES (5, 'Encryption', 75000, 'Public', 2019); INSERT INTO cybersecurity_strategies (id, strategy, cost, sector, year) VALUE... | What is the average cost of cybersecurity strategies for each sector in 2019? | SELECT sector, AVG(cost) as avg_cost FROM cybersecurity_strategies WHERE year = 2019 GROUP BY sector; | gretelai_synthetic_text_to_sql |
CREATE TABLE FishTank (date DATE, temperature FLOAT); INSERT INTO FishTank (date, temperature) VALUES ('2022-01-01', 20.5), ('2022-01-02', 21.0), ('2022-01-03', 21.5), ('2022-02-14', 20.0); | Update the water temperature for February 14, 2022, to 22.3 degrees in the FishTank table. | UPDATE FishTank SET temperature = 22.3 WHERE date = '2022-02-14'; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_schools (id INT, name TEXT, location TEXT, num_students INT, avg_teacher_age FLOAT); INSERT INTO public_schools (id, name, location, num_students, avg_teacher_age) VALUES (1, 'School 1', 'NY', 500, 45.3), (2, 'School 2', 'NY', 600, 43.2); | What is the average age of teachers in New York public schools? | SELECT AVG(avg_teacher_age) FROM public_schools WHERE location = 'NY'; | gretelai_synthetic_text_to_sql |
CREATE TABLE shared_scooters (scooter_id INT, company VARCHAR(255), speed FLOAT, timestamp TIMESTAMP); INSERT INTO shared_scooters (scooter_id, company, speed, timestamp) VALUES (1, 'CompanyA', 15.5, '2022-01-01 10:00:00'), (2, 'CompanyB', 14.3, '2022-01-01 10:00:00'); | What is the average speed of shared electric scooters in San Francisco, partitioned by company? | SELECT company, AVG(speed) AS avg_speed FROM (SELECT company, speed, TIMESTAMP_TRUNC(timestamp, HOUR) AS truncated_time, ROW_NUMBER() OVER (PARTITION BY company, TIMESTAMP_TRUNC(timestamp, HOUR) ORDER BY timestamp) rn FROM shared_scooters WHERE city = 'San Francisco') WHERE rn = 1 GROUP BY company; | gretelai_synthetic_text_to_sql |
CREATE TABLE shipping_companies (company_id INT, name VARCHAR(255)); INSERT INTO shipping_companies (company_id, name) VALUES (1, 'Pacific Shipping Company'); CREATE TABLE cargo_ships (ship_id INT, company_id INT, capacity INT); INSERT INTO cargo_ships (ship_id, company_id, capacity) VALUES (1, 1, 15000), (2, 1, 18000)... | What is the total capacity of all cargo ships owned by Pacific Shipping Company? | SELECT SUM(capacity) FROM cargo_ships WHERE company_id = (SELECT company_id FROM shipping_companies WHERE name = 'Pacific Shipping Company'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT, Name TEXT, Country TEXT);CREATE TABLE Artworks (ArtworkID INT, Title TEXT, ArtistID INT);CREATE TABLE GalleryArtworks (GalleryID INT, ArtworkID INT);CREATE TABLE GalleryLocations (GalleryID INT, Country TEXT); | List all artworks that have been created by artists from Africa and are on display in Europe. | SELECT Artworks.Title FROM Artists INNER JOIN Artworks ON Artworks.ArtistID = Artists.ArtistID INNER JOIN GalleryArtworks ON Artworks.ArtworkID = GalleryArtworks.ArtworkID INNER JOIN GalleryLocations ON GalleryArtworks.GalleryID = GalleryLocations.GalleryID WHERE Artists.Country = 'Africa' AND GalleryLocations.Country ... | gretelai_synthetic_text_to_sql |
CREATE TABLE UnionP(member_id INT, job_title VARCHAR(20)); INSERT INTO UnionP(member_id, job_title) VALUES(16001, 'Developer'), (16002, 'Developer'), (16003, 'Designer'), (16004, 'Tester'), (16005, 'Designer'); | List all unique job titles in Union 'P' with more than 25 members. | SELECT DISTINCT job_title FROM UnionP GROUP BY job_title HAVING COUNT(*) > 25; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT, name VARCHAR(50), location VARCHAR(50)); INSERT INTO hospitals (id, name, location) VALUES (1, 'Hospital A', 'City A'); INSERT INTO hospitals (id, name, location) VALUES (2, 'Hospital B', 'City B'); CREATE TABLE clinics (id INT, name VARCHAR(50), location VARCHAR(50)); INSERT INTO clinic... | What is the total number of hospitals and clinics in the public health database? | SELECT COUNT(*) FROM hospitals UNION SELECT COUNT(*) FROM clinics; | gretelai_synthetic_text_to_sql |
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