context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE nba_teams (team_id INT, team_name VARCHAR(50)); INSERT INTO nba_teams (team_id, team_name) VALUES (1, 'Boston Celtics'), (2, 'Golden State Warriors'); CREATE TABLE nba_games (game_id INT, team_id INT, year INT, spectators INT); | What is the average number of spectators attending NBA games in the past decade, by team? | SELECT team_id, AVG(spectators) FROM nba_games WHERE year BETWEEN 2011 AND 2021 GROUP BY team_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_trains (train_id INT, trip_duration INT, start_speed INT, end_speed INT, trip_date DATE); INSERT INTO autonomous_trains (train_id, trip_duration, start_speed, end_speed, trip_date) VALUES (1, 1500, 10, 20, '2022-01-01'), (2, 1200, 15, 25, '2022-01-02'); CREATE TABLE city_coordinates (city VARCHA... | What is the maximum trip duration for autonomous trains in New York City? | SELECT MAX(trip_duration) FROM autonomous_trains, city_coordinates WHERE city_coordinates.city = 'New York City'; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (attorney_id INT, office VARCHAR(50)); INSERT INTO attorneys VALUES (1, 'Toronto'); CREATE TABLE cases (case_id INT, attorney_id INT, billing_amount DECIMAL(10,2)); | What is the average billing amount for cases handled by attorneys in the 'Toronto' office? | SELECT AVG(billing_amount) FROM cases INNER JOIN attorneys ON cases.attorney_id = attorneys.attorney_id WHERE attorneys.office = 'Toronto'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (donor_id INT, donation_amount DECIMAL(10,2), donation_date DATE, cause VARCHAR(255)); INSERT INTO donations (donor_id, donation_amount, donation_date, cause) VALUES (1, 500, '2022-01-01', 'Education'); INSERT INTO donations (donor_id, donation_amount, donation_date, cause) VALUES (2, 250, '2022-... | What is the average donation amount for each cause, sorted in descending order? | SELECT cause, AVG(donation_amount) AS avg_donation_amount FROM donations GROUP BY cause ORDER BY avg_donation_amount DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (well_id INT, well_type TEXT, location TEXT); INSERT INTO wells (well_id, well_type, location) VALUES (1, 'Onshore', 'USA'), (2, 'Offshore', 'USA'); CREATE TABLE production (prod_id INT, well_id INT, oil_prod INT, gas_prod INT); INSERT INTO production (prod_id, well_id, oil_prod, gas_prod) VALUES (1,... | What is the total number of onshore and offshore wells in the USA and their production figures? | SELECT well_type, SUM(oil_prod + gas_prod) FROM production JOIN wells ON production.well_id = wells.well_id GROUP BY well_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE electric_vehicles_grouped (id INT, vehicle_make VARCHAR(50), vehicle_range INT); INSERT INTO electric_vehicles_grouped (id, vehicle_make, vehicle_range) VALUES (1, 'Tesla', 373), (2, 'Tesla', 263), (3, 'Chevy', 259), (4, 'Nissan', 226), (5, 'Ford', 303), (6, 'Tesla', 299), (7, 'Ford', 230); | Get the minimum and maximum range of electric vehicles, grouped by make | SELECT vehicle_make, MIN(vehicle_range) as min_range, MAX(vehicle_range) as max_range FROM electric_vehicles_grouped GROUP BY vehicle_make; | gretelai_synthetic_text_to_sql |
CREATE TABLE Spacecraft (Id INT, Name VARCHAR(50), Manufacturer VARCHAR(50), Mass FLOAT); | What is the total mass of spacecraft manufactured by Galactic Innovations? | SELECT SUM(Mass) FROM Spacecraft WHERE Manufacturer = 'Galactic Innovations'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (id INT, city VARCHAR(50), population INT); INSERT INTO cities VALUES (1, 'CityX', 600000); INSERT INTO cities VALUES (2, 'CityY', 400000); INSERT INTO cities VALUES (3, 'CityZ', 550000); CREATE TABLE housing_policies (id INT, city VARCHAR(50), eco_friendly BOOLEAN); INSERT INTO housing_policies VAL... | List all cities with a population over 500,000 that have eco-friendly housing policies | SELECT a.city FROM cities a INNER JOIN housing_policies b ON a.city = b.city WHERE a.population > 500000 AND b.eco_friendly = TRUE GROUP BY a.city, b.city; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (VolunteerID INT, SignUpDate DATE); INSERT INTO Volunteers (VolunteerID, SignUpDate) VALUES (1, '2021-01-15'), (2, '2021-02-20'), (3, '2021-03-05'); | How many volunteers signed up each month in 2021? | SELECT EXTRACT(MONTH FROM SignUpDate) as Month, COUNT(*) as NumVolunteers FROM Volunteers WHERE SignUpDate >= '2021-01-01' AND SignUpDate < '2022-01-01' GROUP BY Month ORDER BY Month; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_education (id INT, program VARCHAR(50), location VARCHAR(50), date DATE); | Count the number of educational programs in 'community_education' table that took place in Brazil | SELECT COUNT(*) FROM community_education WHERE location = 'Brazil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ota_bookings (booking_id INT, ota_website VARCHAR(255), hotel_name VARCHAR(255), booking_date DATE, revenue DECIMAL(10,2)); CREATE TABLE hotels (hotel_id INT, hotel_name VARCHAR(255), country VARCHAR(255)); | What is the revenue from hotel bookings made through OTA websites in the last month? | SELECT SUM(revenue) FROM ota_bookings INNER JOIN hotels ON ota_bookings.hotel_name = hotels.hotel_name WHERE booking_date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, customer_name VARCHAR(255), age INT, financial_wellbeing_score INT);CREATE VIEW young_adults AS SELECT * FROM customers WHERE age BETWEEN 25 AND 34; | What is the average financial wellbeing score for customers in the age range of 25-34? | SELECT AVG(c.financial_wellbeing_score) as avg_score FROM customers c INNER JOIN young_adults ya ON c.customer_id = ya.customer_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemicals (id INT, name TEXT, production_volume INT); INSERT INTO chemicals (id, name, production_volume) VALUES (1, 'Chemical A', 500), (2, 'Chemical B', 300), (3, 'Chemical C', 700); | What is the average production volume for each chemical? | SELECT name, AVG(production_volume) FROM chemicals GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (id INT, event_type VARCHAR(50), city VARCHAR(50), attendance INT); INSERT INTO events (id, event_type, city, attendance) VALUES (1, 'Dance Performance', 'New York City', 100), (2, 'Music Concert', 'Los Angeles'), (3, 'Theater Play', 'Chicago', 75); | What was the total attendance at dance performances in New York City? | SELECT SUM(attendance) FROM events WHERE event_type = 'Dance Performance' AND city = 'New York City'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farm_regions (id INT, farm_id INT, region VARCHAR(20)); INSERT INTO farm_regions (id, farm_id, region) VALUES (1, 1, 'rural'), (2, 2, 'urban'), (3, 3, 'rural'), (4, 4, 'indigenous'); CREATE VIEW organic_farms_by_region AS SELECT fr.region, SUM(f.acres) AS total_organic_acres FROM organic_farms f JOIN farm_... | Calculate the percentage of organic farming land in each region. | SELECT region, (SUM(CASE WHEN is_organic = 'true' THEN f.acres ELSE 0 END) / total_organic_acres) * 100 AS organic_percentage FROM farm_regions fr JOIN farms f ON fr.farm_id = f.id JOIN organic_farms_by_region org ON fr.region = org.region GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE prison (id INT, name TEXT, security_level TEXT, age INT); INSERT INTO prison (id, name, security_level, age) VALUES (1, 'Federal Correctional Institution Ashland', 'low_security', 45); | What is the average age of inmates in the low_security prison? | SELECT AVG(age) FROM prison WHERE security_level = 'low_security'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_acidification (id INT, location TEXT, level FLOAT); INSERT INTO ocean_acidification (id, location, level) VALUES (1, 'North Atlantic', 7.9); INSERT INTO ocean_acidification (id, location, level) VALUES (2, 'South Atlantic', 7.8); INSERT INTO ocean_acidification (id, location, level) VALUES (3, 'North... | Find the average ocean acidification levels in the Atlantic and Indian Oceans. | SELECT AVG(level) FROM ocean_acidification WHERE location IN ('North Atlantic', 'South Atlantic', 'North Indian', 'South Indian'); | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_actors (id INT, actor VARCHAR(255), group_name VARCHAR(255), incident_type VARCHAR(255)); INSERT INTO threat_actors (id, actor, group_name, incident_type) VALUES (1, 'APT28', 'APT', 'spear phishing'), (2, 'APT33', 'APT', 'DDoS'), (3, 'APT29', 'APT', 'malware'), (4, 'Lazarus', 'APT', 'ransomware'); | What are the unique incident types for each threat actor in the 'APT' group? | SELECT actor, incident_type FROM threat_actors WHERE group_name = 'APT' GROUP BY actor, incident_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE human_spaceflight (id INT, mission_name VARCHAR(50), distance_from_earth INT); INSERT INTO human_spaceflight (id, mission_name, distance_from_earth) VALUES (1, 'Apollo 13', 400000), (2, 'Voyager 1', 1400000000), (3, 'New Horizons', 430000000); | What is the maximum distance from Earth traveled by a human spacecraft? | SELECT MAX(distance_from_earth) FROM human_spaceflight; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies_founded(id INT, name VARCHAR(50), founded_by_immigrant BOOLEAN, industry VARCHAR(20), funding FLOAT); INSERT INTO companies_founded(id, name, founded_by_immigrant, industry, funding) VALUES (1, 'CompanyA', TRUE, 'E-commerce', 1000000); INSERT INTO companies_founded(id, name, founded_by_immigrant,... | What is the percentage of funding received by companies founded by immigrants in the e-commerce industry? | SELECT ROUND(100.0 * SUM(CASE WHEN founded_by_immigrant THEN funding ELSE 0 END) / SUM(funding), 2) as percentage FROM companies_founded WHERE industry = 'E-commerce'; | gretelai_synthetic_text_to_sql |
CREATE TABLE LanguagePreservation (Location VARCHAR(50), Budget DECIMAL(10,2)); INSERT INTO LanguagePreservation (Location, Budget) VALUES ('Africa', 500000); | What is the average budget allocated for language preservation programs in Africa? | SELECT AVG(Budget) FROM LanguagePreservation WHERE Location = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, product_id INT, sale_date DATE, sale_quantity INT, sale_price FLOAT, country VARCHAR(50)); CREATE TABLE products (product_id INT, product_name VARCHAR(100), product_type VARCHAR(50), eco_friendly BOOLEAN); | What is the total revenue generated by eco-friendly nail polish sales in Q2 2022, excluding sales from the US? | SELECT SUM(sale_quantity * sale_price) AS total_revenue FROM sales JOIN products ON sales.product_id = products.product_id WHERE products.product_type = 'nail polish' AND eco_friendly = TRUE AND country != 'US' AND sale_date BETWEEN '2022-04-01' AND '2022-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (exhibition_id INT, name VARCHAR(100), visitor_count INT); | Delete exhibitions with less than 100 visitors. | DELETE FROM Exhibitions WHERE visitor_count < 100; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech;CREATE TABLE if not exists biotech.projects (id INT, name VARCHAR(100), status VARCHAR(20), completion_date DATE); INSERT INTO biotech.projects (id, name, status, completion_date) VALUES (1, 'Project5', 'Completed', '2021-02-15'), (2, 'Project6', 'In Progress', '2021-07-20'), (3, 'Pr... | How many genetic research projects were completed before June 2021? | SELECT COUNT(*) FROM biotech.projects WHERE status = 'Completed' AND completion_date < '2021-06-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID int, Department varchar(20), Salary numeric(10,2)); INSERT INTO Employees (EmployeeID, Department, Salary) VALUES (1, 'IT', 75000.00), (2, 'IT', 70000.00), (3, 'HR', 60000.00), (4, 'Finance', 80000.00); | What is the total salary expense for the company broken down by department? | SELECT Department, SUM(Salary) FROM Employees GROUP BY Department; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artist (id INT, name VARCHAR(255), birth_date DATE, death_date DATE); CREATE TABLE Art (id INT, title VARCHAR(255), artist_id INT); | List the artworks by artists who were born in the 1800s and lived to be at least 80 years old. | SELECT Art.title FROM Art JOIN Artist ON Art.artist_id = Artist.id WHERE YEAR(Artist.birth_date) BETWEEN 1800 AND 1899 AND YEAR(Artist.death_date) - YEAR(Artist.birth_date) >= 80; | gretelai_synthetic_text_to_sql |
CREATE TABLE investors (investor_id INT, investor_name TEXT, country TEXT); INSERT INTO investors (investor_id, investor_name, country) VALUES (1, 'Vanguard', 'USA'), (2, 'BlackRock', 'USA'), (3, 'State Street Global Advisors', 'USA'); CREATE TABLE socially_responsible_investments (investment_id INT, investor_id INT, i... | What is the total value of socially responsible investments made by each investor, in descending order? | SELECT investor_name, SUM(investment_value) AS total_investments FROM socially_responsible_investments JOIN investors ON socially_responsible_investments.investor_id = investors.investor_id GROUP BY investor_name ORDER BY total_investments DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE debris_type (debris_id INT, orbit_type VARCHAR(255), size FLOAT); INSERT INTO debris_type (debris_id, orbit_type, size) VALUES (1, 'LEO', 0.1); INSERT INTO debris_type (debris_id, orbit_type, size) VALUES (2, 'LES', 0.5); INSERT INTO debris_type (debris_id, orbit_type, size) VALUES (3, 'LES', 0.3); | What is the average size of debris objects in the LES orbit? | SELECT AVG(size) FROM debris_type WHERE orbit_type = 'LES'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Highways (id INT, name TEXT, state TEXT, cost FLOAT); INSERT INTO Highways (id, name, state, cost) VALUES (1, 'New York State Thruway', 'New York', 1200000000.0); INSERT INTO Highways (id, name, state, cost) VALUES (2, 'Queens-Midtown Tunnel', 'New York', 81000000.0); | What is the maximum construction cost of a highway project in the state of New York? | SELECT MAX(cost) FROM Highways WHERE state = 'New York' | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT PRIMARY KEY, PlayerName VARCHAR(100), Country VARCHAR(50), Email VARCHAR(100)); INSERT INTO Players VALUES (1, 'Kenji', 'Japan', 'kenji@example.com'); | Update the email of the top-earning player from Japan in VR games. | UPDATE Players SET Email = 'kenji.topplayer@example.com' WHERE PlayerID = (SELECT PlayerID FROM (SELECT PlayerID, SUM(VirtualCurrency) as TotalCurrencyEarned FROM Players JOIN VR_Games ON Players.PlayerID = VR_Games.PlayerID WHERE Country = 'Japan' GROUP BY PlayerID ORDER BY TotalCurrencyEarned DESC LIMIT 1)); | gretelai_synthetic_text_to_sql |
CREATE TABLE solar_power_plants (id INT, country VARCHAR(255), name VARCHAR(255), installed_capacity FLOAT); INSERT INTO solar_power_plants (id, country, name, installed_capacity) VALUES (1, 'Spain', 'Solar Plant 1', 30.5), (2, 'Spain', 'Solar Plant 2', 22.6), (3, 'Spain', 'Solar Plant 3', 35.9), (4, 'Spain', 'Solar Pl... | How many solar power plants are there in Spain with an installed capacity greater than 25 MW? | SELECT COUNT(*) FROM solar_power_plants WHERE country = 'Spain' AND installed_capacity > 25; | gretelai_synthetic_text_to_sql |
CREATE TABLE region_sequestration (id INT, region VARCHAR(255), total_sequestration FLOAT); INSERT INTO region_sequestration (id, region, total_sequestration) VALUES (1, 'North', 5000.0), (2, 'South', 6000.0), (3, 'East', 4500.0), (4, 'West', 7000.0); | What is the total carbon sequestration potential for each region in the 'region_sequestration' table? | SELECT region, SUM(total_sequestration) FROM region_sequestration GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE food_inspection (date DATE, restaurant VARCHAR(255), score DECIMAL(3,1)); INSERT INTO food_inspection (date, restaurant, score) VALUES ('2021-01-01', 'Restaurant A', 92.0), ('2021-01-01', 'Restaurant B', 88.0), ('2021-01-02', 'Restaurant A', 94.0), ('2021-01-02', 'Restaurant B', 89.0); | What was the average food safety score for each restaurant in Q1 2021? | SELECT restaurant, AVG(score) as avg_score FROM food_inspection WHERE date BETWEEN '2021-01-01' AND '2021-03-31' GROUP BY restaurant; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurant_inspections(location VARCHAR(255), score INT); INSERT INTO restaurant_inspections(location, score) VALUES ('San Francisco Restaurant', 75), ('Los Angeles Restaurant', 80), ('San Diego Restaurant', 90); | What is the lowest food safety score for restaurants in California? | SELECT MIN(score) FROM restaurant_inspections WHERE location LIKE '%California%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(50)); INSERT INTO users (id, name) VALUES (1, 'Alice'), (2, 'Bob'); CREATE TABLE posts (id INT, user_id INT, timestamp DATETIME); INSERT INTO posts (id, user_id, timestamp) VALUES (1, 1, '2022-01-01 10:00:00'), (2, 1, '2022-01-02 11:00:00'), (3, 2, '2022-01-03 12:00:00'), (4, 1,... | Find users who have made at least one post per day for the last 7 days. | SELECT users.name FROM users INNER JOIN posts ON users.id = posts.user_id WHERE posts.timestamp >= DATE_SUB(NOW(), INTERVAL 7 DAY) GROUP BY users.name HAVING COUNT(DISTINCT DATE(posts.timestamp)) = 7; | gretelai_synthetic_text_to_sql |
CREATE TABLE oceans (id INT, name VARCHAR(50)); CREATE TABLE species (id INT, ocean_id INT, name VARCHAR(50), min_size FLOAT, survival_rate FLOAT); INSERT INTO oceans VALUES (1, 'Indian Ocean'); INSERT INTO species VALUES (1, 1, 'Whale Shark', 120, 0.85), (2, 1, 'Oceanic Manta Ray', 150, 0.9), (3, 1, 'Basking Shark', 2... | What is the survival rate of fish species in the Indian Ocean with a minimum size over 150 cm? | SELECT AVG(s.survival_rate) as avg_survival_rate FROM species s INNER JOIN oceans o ON s.ocean_id = o.id WHERE o.name = 'Indian Ocean' AND s.min_size > 150; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainableFabrics (id INT, supplier VARCHAR(50), fabric VARCHAR(50), lead_time INT); INSERT INTO SustainableFabrics (id, supplier, fabric, lead_time) VALUES (1, 'GreenFabrics', 'Organic Cotton', 14), (2, 'EcoTextiles', 'Hemp', 21), (3, 'SustainableWeaves', 'Tencel', 10); | What is the minimum lead time for sustainable fabric suppliers? | SELECT MIN(lead_time) FROM SustainableFabrics; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_contracts (smart_contract_id INT, name VARCHAR(255), version VARCHAR(255), jurisdiction VARCHAR(255), last_updated DATE); CREATE TABLE regulations (regulation_id INT, jurisdiction VARCHAR(255), subject VARCHAR(255), publication_date DATE, status VARCHAR(255)); | What is the total number of smart contracts in the 'smart_contracts' table for each 'jurisdiction' in the 'regulations' table, ordered by the total number of smart contracts in descending order? | SELECT r.jurisdiction, COUNT(sc.smart_contract_id) as total_smart_contracts FROM smart_contracts sc JOIN regulations r ON sc.jurisdiction = r.jurisdiction GROUP BY r.jurisdiction ORDER BY total_smart_contracts DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE broadband_subscribers (region VARCHAR(50), subscriber_id INT, speed FLOAT); INSERT INTO broadband_subscribers VALUES ('Region A', 100, 50); INSERT INTO broadband_subscribers VALUES ('Region A', 200, 75); INSERT INTO broadband_subscribers VALUES ('Region B', 300, 100); INSERT INTO broadband_subscribers VALU... | What is the average speed and total number of broadband subscribers in each region? | SELECT region, AVG(speed) as avg_speed, COUNT(subscriber_id) as total_subscribers FROM broadband_subscribers GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(255), publish_date DATE, topic VARCHAR(255)); INSERT INTO articles (id, title, publish_date, topic) VALUES (1, 'Investigative Article 1', '2022-01-01', 'investigative'); | Find the number of articles published on investigative journalism topics in the last 6 months, grouped by month. | SELECT COUNT(*), DATE_FORMAT(publish_date, '%Y-%m') AS Month FROM articles WHERE topic = 'investigative' AND publish_date >= DATE_SUB(NOW(), INTERVAL 6 MONTH) GROUP BY Month; | gretelai_synthetic_text_to_sql |
CREATE TABLE Northrop_Revenue (id INT, corporation VARCHAR(20), region VARCHAR(20), revenue DECIMAL(10,2)); INSERT INTO Northrop_Revenue (id, corporation, region, revenue) VALUES (1, 'Northrop Grumman', 'North America', 5000000.00); | What is the total revenue from naval equipment sales for Northrop Grumman in North America? | SELECT SUM(revenue) FROM Northrop_Revenue WHERE corporation = 'Northrop Grumman' AND region = 'North America' AND equipment = 'Naval'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name TEXT, country TEXT, age INT); INSERT INTO volunteers (id, name, country, age) VALUES (1, 'Jean Dupont', 'France', 65), (2, 'Marie Dupont', 'France', 30); | What percentage of volunteers in France are over the age of 60? | SELECT (COUNT(*) FILTER (WHERE age > 60) / COUNT(*)) * 100.0 FROM volunteers WHERE country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Regions (Region VARCHAR(50), CountryName VARCHAR(50)); CREATE TABLE Transactions (TransactionID INT, VisitorID INT, Amount DECIMAL(10,2)); | What's the total revenue generated from visitors who reside in the 'North America' region? | SELECT SUM(t.Amount) FROM Transactions t JOIN Visitors v ON t.VisitorID = v.VisitorID JOIN Regions r ON v.Country = r.CountryName WHERE r.Region = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE game_servers (server_id INT, region VARCHAR(10), player_capacity INT); | Update the player_capacity column in the game_servers table to 50 for all servers in the 'North America' region | UPDATE game_servers SET player_capacity = 50 WHERE region = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewables.hydroelectric_plants (plant_id int, name varchar(50), capacity int); INSERT INTO renewables.hydroelectric_plants (plant_id, name, capacity) VALUES (1, 'Plant D', 1200), (2, 'Plant E', 900), (3, 'Plant F', 1100); | What are the names and capacities of hydroelectric power plants in the 'renewables' schema? | SELECT name, capacity FROM renewables.hydroelectric_plants; | gretelai_synthetic_text_to_sql |
CREATE TABLE mine_production_sweden (id INT, mine_name VARCHAR(50), country VARCHAR(50), production_tonnes INT, year INT, PRIMARY KEY (id)); INSERT INTO mine_production_sweden (id, mine_name, country, production_tonnes, year) VALUES (1, 'Rammuldi', 'Sweden', 125000, 2021); | Update the production tonnes for the 'Rammuldi' mine in Sweden by 10% for the year 2021. | UPDATE mine_production_sweden SET production_tonnes = production_tonnes * 1.1 WHERE mine_name = 'Rammuldi' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE InclusiveHousingUnits (Id INT, City VARCHAR(50), Units INT); INSERT INTO InclusiveHousingUnits (Id, City, Units) VALUES (1, 'Oakland', 150), (2, 'Seattle', 250), (3, 'Oakland', 200), (4, 'SanFrancisco', 300), (5, 'Portland', 225); | What is the total number of inclusive housing units in Oakland, CA? | SELECT SUM(Units) FROM InclusiveHousingUnits WHERE City = 'Oakland'; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouses (id VARCHAR(10), name VARCHAR(20), city VARCHAR(10), country VARCHAR(10)); CREATE TABLE inventory (item VARCHAR(10), warehouse_id VARCHAR(10), quantity INT); INSERT INTO warehouses (id, name, city, country) VALUES ('SEA-WH-01', 'Seattle Warehouse', 'Seattle', 'USA'), ('NYC-WH-01', 'New York City... | What is the average quantity of inventory in country 'USA'? | SELECT AVG(quantity) as avg_quantity FROM inventory i JOIN warehouses w ON i.warehouse_id = w.id WHERE w.country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_date DATE, region VARCHAR(255), revenue FLOAT); | What was the total revenue for each region in 2021? | SELECT region, SUM(revenue) AS total_revenue FROM sales WHERE sale_date BETWEEN '2021-01-01' AND '2021-12-31' GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE Games (GameID INT PRIMARY KEY, Name VARCHAR(50), Genre VARCHAR(50), ReleaseDate DATE); CREATE TABLE Players (PlayerID INT PRIMARY KEY, Name VARCHAR(50), Game VARCHAR(50), Score INT); CREATE VIEW GameScores AS SELECT Game, AVG(Score) AS AverageScore FROM Players GROUP BY Game; CREATE VIEW AboveAverage AS SE... | What is the average score for each game, and how many players have a score above the average? | SELECT GameScores.Game, GameScores.AverageScore, AboveAverage.AboveAverageCount FROM GameScores INNER JOIN AboveAverage ON GameScores.Game = AboveAverage.Game; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, DonationAmount DECIMAL(10,2), DonationDate DATE); | How many donors contributed in the first quarter of 2021? | SELECT COUNT(DISTINCT DonorName) FROM Donors WHERE QUARTER(DonationDate) = 1 AND YEAR(DonationDate) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (id INT, country VARCHAR(255), production_amount FLOAT, production_date DATE); | Show the total number of chemical substances produced in India per month for the past 2 years. | SELECT country, DATE_FORMAT(production_date, '%Y-%m') as month, SUM(production_amount) as total_production FROM production WHERE country = 'India' AND production_date > DATE_SUB(CURDATE(), INTERVAL 2 YEAR) GROUP BY country, month; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT, name TEXT, capacity INT, location TEXT); | Add a new renewable energy project with id 5, name 'Geothermal Plant 1.0', capacity 2000, and location 'Nevada' | INSERT INTO projects (id, name, capacity, location) VALUES (5, 'Geothermal Plant 1.0', 2000, 'Nevada'); | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(100), sales INT, certification VARCHAR(20)); INSERT INTO products (product_id, product_name, sales, certification) VALUES (1, 'Lipstick A', 5000, 'cruelty-free'), (2, 'Mascara B', 7000, 'not_certified'), (3, 'Foundation C', 8000, 'cruelty-free'); CREATE TABLE ... | What are the top 3 cruelty-free certified cosmetic products by sales in the Canadian market? | SELECT product_name, sales FROM products WHERE certification = 'cruelty-free' AND country_code = 'CA' ORDER BY sales DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE district (did INT, name VARCHAR(255)); INSERT INTO district VALUES (1, 'Downtown'), (2, 'Uptown'); CREATE TABLE events (event_id INT, district_id INT, year INT, type VARCHAR(255)); | Find the number of community policing events in each district in 2021. | SELECT d.name, COUNT(e.event_id) FROM district d JOIN events e ON d.did = e.district_id WHERE e.type = 'Community Policing' AND e.year = 2021 GROUP BY d.did; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies(id INT, name VARCHAR(50), founding_year INT, diversity_score INT); INSERT INTO companies VALUES (1, 'Alpha', 2010, 70); INSERT INTO companies VALUES (2, 'Beta', 2015, 80); CREATE TABLE founders(id INT, company_id INT, community VARCHAR(20)); INSERT INTO founders VALUES (1, 1, 'Minority'); INSERT ... | What is the average diversity score of companies founded by underrepresented communities? | SELECT AVG(companies.diversity_score) FROM companies INNER JOIN founders ON companies.id = founders.company_id WHERE founders.community IN ('Minority', 'Women', 'LGBTQ+'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Inventory (StrainID INT, PricePerPound INT, Quantity INT); | Update the price of strain 'Sour Diesel' to $1200 per pound in the Inventory table. | UPDATE Inventory SET PricePerPound = 1200 WHERE StrainID = (SELECT StrainID FROM Strains WHERE StrainName = 'Sour Diesel'); | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(255), author VARCHAR(255), content TEXT, date DATE); INSERT INTO articles (id, title, author, content, date) VALUES (1, 'Article Title 1', 'Jane Doe', 'Article Content 1', '2022-01-01'), (2, 'Article Title 2', 'Alice Smith', 'Article Content 2', '2022-02-01'); | How many articles were published in each month of 2022 in the 'articles' table? | SELECT EXTRACT(MONTH FROM date) AS month, COUNT(*) AS article_count FROM articles WHERE date >= '2022-01-01' AND date < '2023-01-01' GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT, name TEXT, city TEXT, state TEXT, beds INT); INSERT INTO hospitals (id, name, city, state, beds) VALUES (1, 'General Hospital', 'Miami', 'Florida', 500); INSERT INTO hospitals (id, name, city, state, beds) VALUES (2, 'Memorial Hospital', 'Boston', 'Massachusetts', 600); | What is the total number of beds in hospitals for each state? | SELECT state, SUM(beds) as total_beds FROM hospitals GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE flight_records (id INT, aircraft_model VARCHAR(50), flight_count INT); INSERT INTO flight_records (id, aircraft_model, flight_count) VALUES (1, 'B747', 150), (2, 'A320', 120), (3, 'B787', 110); | Which aircraft models have more than 100 flights? | SELECT aircraft_model, flight_count FROM flight_records WHERE flight_count > 100; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, FirstName TEXT, LastName TEXT, RegistrationDate DATE, IsRecurring BOOLEAN); INSERT INTO Donors (DonorID, FirstName, LastName, RegistrationDate, IsRecurring) VALUES (1, 'John', 'Doe', '2021-01-15', true), (2, 'Jane', 'Doe', '2020-12-20', false), (3, 'Mike', 'Smith', '2021-03-01', true);... | What is the sum of donations for recurring donors in 2021? | SELECT SUM(Amount) as TotalDonations FROM Donations d JOIN Donors don ON d.DonorID = don.DonorID WHERE IsRecurring = true AND DonationDate BETWEEN '2021-01-01' AND '2021-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vehicles (id INT, make VARCHAR(50), model VARCHAR(50), safety_rating FLOAT, fuel_type VARCHAR(50)); | What is the average safety rating of electric vehicles compared to gasoline vehicles? | SELECT AVG(safety_rating) FROM Vehicles WHERE fuel_type = 'Electric'; SELECT AVG(safety_rating) FROM Vehicles WHERE fuel_type = 'Gasoline'; | gretelai_synthetic_text_to_sql |
CREATE TABLE oil_reservoirs (reservoir_id INT, name VARCHAR(50), location VARCHAR(50), reserves_bbl INT); | What are the names of all fields in the 'oil_reservoirs' table? | DESCRIBE oil_reservoirs; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, region TEXT);CREATE TABLE cargo_ships (id INT, company_id INT, capacity INT); INSERT INTO companies (id, name, region) VALUES (1, 'ABC Shipping', 'Europe'); INSERT INTO companies (id, name, region) VALUES (2, 'XYZ Shipping', 'Asia'); INSERT INTO cargo_ships (id, company_id, ca... | What is the maximum capacity of all cargo ships owned by companies from Europe? | SELECT MAX(cs.capacity) FROM cargo_ships cs INNER JOIN companies c ON cs.company_id = c.id WHERE c.region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE temperature_readings (reading_date DATE, temperature FLOAT, country TEXT); | What is the average temperature per month in each country in the 'temperature_readings' table? | SELECT DATE_TRUNC('month', reading_date) AS month, country, AVG(temperature) FROM temperature_readings GROUP BY month, country; | gretelai_synthetic_text_to_sql |
CREATE TABLE sites (name VARCHAR(255), location VARCHAR(255), language VARCHAR(255)); INSERT INTO sites (name, location, language) VALUES ('Site A', 'Country A', 'Language A'); INSERT INTO sites (name, location, language) VALUES ('Site B', 'Country B', 'Language B'); | What are the names and languages of all the cultural heritage sites in Africa? | SELECT name, language FROM sites WHERE location LIKE 'Africa%' | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID int, EventDate date, TicketsSold int, Country varchar(50)); INSERT INTO Events (EventID, EventDate, TicketsSold, Country) VALUES (1, '2019-01-01', 200, 'Mexico'), (2, '2019-06-01', 300, 'Mexico'), (3, '2020-01-01', 150, 'Mexico'); | How many total tickets were sold for events held in Mexico between January 1, 2019 and December 31, 2019? | SELECT SUM(TicketsSold) FROM Events WHERE EventDate BETWEEN '2019-01-01' AND '2019-12-31' AND Country = 'Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID int, FirstName varchar(50), LastName varchar(50), Race varchar(20), HireDate date); INSERT INTO Employees (EmployeeID, FirstName, LastName, Race, HireDate) VALUES (1, 'John', 'Doe', 'White', '2010-01-01'); INSERT INTO Employees (EmployeeID, FirstName, LastName, Race, HireDate) VALUES ... | What is the racial composition of employees who joined after 2015, ordered by hire date? | SELECT Race, HireDate FROM (SELECT Race, HireDate, ROW_NUMBER() OVER (PARTITION BY Race ORDER BY HireDate) as rn FROM Employees WHERE HireDate > '2015-12-31') x WHERE rn = 1 ORDER BY HireDate; | gretelai_synthetic_text_to_sql |
CREATE TABLE consumer_preferences (id INT PRIMARY KEY, customer_id INT, product VARCHAR(100), preference INT, FOREIGN KEY (customer_id) REFERENCES customers(id)); CREATE TABLE beauty_products (id INT PRIMARY KEY, product VARCHAR(100), category VARCHAR(100), price FLOAT); CREATE TABLE suppliers (id INT PRIMARY KEY, name... | Which beauty products in the 'makeup' category have a preference count of over 200 and are sold by suppliers with a sustainability score of 85 or higher? | SELECT bp.product, bp.category FROM beauty_products bp JOIN consumer_preferences cp ON bp.product = cp.product JOIN suppliers s ON bp.product = s.product WHERE bp.category = 'makeup' AND cp.preference > 200 AND s.sustainability_score >= 85; | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping_operations (operation_id INT, name TEXT, location TEXT); INSERT INTO peacekeeping_operations (operation_id, name, location) VALUES (1, 'MINUSCA', 'Central African Republic'), (2, 'MONUSCO', 'Democratic Republic of the Congo'), (3, 'UNAMID', 'Darfur, Sudan'), (4, 'UNMISS', 'South Sudan'), (5, '... | What are the peacekeeping operations in African countries? | SELECT * FROM peacekeeping_operations WHERE location IN ('Central African Republic', 'Democratic Republic of the Congo', 'Darfur, Sudan', 'South Sudan', 'Mali'); | gretelai_synthetic_text_to_sql |
CREATE TABLE visitor_workshops (visitor_id INT, language VARCHAR(20), workshop_name VARCHAR(50)); INSERT INTO visitor_workshops (visitor_id, language, workshop_name) VALUES (1, 'English', 'Painting'), (2, 'Spanish', 'Sculpture'), (3, 'French', 'Digital Art'); | How many visitors engaged with the digital museum's online workshops, categorized by their preferred language? | SELECT language, COUNT(*) as num_visitors FROM visitor_workshops GROUP BY language; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryEquipment (id INT, region VARCHAR(20), manufacturer VARCHAR(50), equipment_type VARCHAR(50), maintenance_date DATE, maintenance_type VARCHAR(50)); INSERT INTO MilitaryEquipment (id, region, manufacturer, equipment_type, maintenance_date, maintenance_type) VALUES (1, 'Pacific', 'Boeing', 'Aircraft',... | What is the total number of military aircraft that underwent maintenance in the Pacific region in Q1 2021, grouped by manufacturer and maintenance type? | SELECT manufacturer, maintenance_type, COUNT(*) as total_maintenance FROM MilitaryEquipment WHERE region = 'Pacific' AND maintenance_date BETWEEN '2021-01-01' AND '2021-03-31' GROUP BY manufacturer, maintenance_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Factories (Factory_ID INT, Country TEXT, Labor_Standards_Rating INT); CREATE TABLE Countries (Country TEXT, Continent TEXT); | Which factories have the lowest labor standards rating in each country? | SELECT F.Country, MIN(F.Labor_Standards_Rating) AS Lowest_Labor_Standards_Rating FROM Factories F | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name TEXT, founded_year INT, industry TEXT, country TEXT, funding FLOAT); | What is the total funding raised by startups from Canada in 2020? | SELECT SUM(funding) FROM startups WHERE country = 'Canada' AND founded_year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE garments(id INT, garment_name VARCHAR(50), rating FLOAT, manufacturer_country VARCHAR(50)); INSERT INTO garments(id, garment_name, rating, manufacturer_country) VALUES (1, 'T-Shirt', 4.5, 'France'), (2, 'Jeans', 4.2, 'Italy'); | What is the average rating of garments manufactured in France? | SELECT AVG(rating) FROM garments WHERE manufacturer_country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, dish_name TEXT, category TEXT, quantity INT); INSERT INTO sales (sale_id, dish_name, category, quantity) VALUES (1, 'Spicy Quinoa', 'Vegan', 30), (2, 'Tofu Stir Fry', 'Vegan', 25), (3, 'Chickpea Curry', 'Vegan', 40), (4, 'Beef Burrito', 'Non-Veg', 50), (5, 'Chicken Alfredo', 'Non-Veg', ... | What are the total sales for each category? | SELECT category, SUM(quantity) FROM sales GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (restaurant_id INT, name VARCHAR(50), cuisine VARCHAR(50), revenue INT); INSERT INTO restaurants VALUES (1, 'Asian Fusion', 'Asian', 5000), (2, 'Tuscan Bistro', 'Italian', 7000), (3, 'Baja Coast', 'Mexican', 4000), (4, 'Sushi House', 'Asian', 8000), (5, 'Pizzeria Rustica', 'Italian', 6000); | What is the minimum revenue earned by a restaurant in the 'Italian' cuisine category? | SELECT cuisine, MIN(revenue) FROM restaurants WHERE cuisine = 'Italian'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CyberIncidents (company TEXT, incident_date DATE, state TEXT); INSERT INTO CyberIncidents (company, incident_date, state) VALUES ('Contractor X', '2021-02-01', 'California'), ('Contractor Y', '2021-10-15', 'California'), ('Contractor Z', '2021-12-30', 'New York'); | How many cybersecurity incidents were reported by defense contractors in California in 2021? | SELECT COUNT(*) FROM CyberIncidents WHERE company LIKE '%defense%' AND state = 'California' AND incident_date BETWEEN '2021-01-01' AND '2021-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Department VARCHAR(255), Salary INT); INSERT INTO Employees (EmployeeID, Department, Salary) VALUES (1, 'Marketing', 50000); INSERT INTO Employees (EmployeeID, Department, Salary) VALUES (2, 'Sales', 60000); INSERT INTO Employees (EmployeeID, Department, Salary) VALUES (3, 'Marke... | What is the total salary cost for each department, and the number of employees in that department? | SELECT E.Department, SUM(E.Salary) AS Total_Salary_Cost, COUNT(E.EmployeeID) AS Num_Employees FROM Employees E GROUP BY E.Department; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA IF NOT EXISTS public_transport;CREATE TABLE IF NOT EXISTS public_transport.passenger_count (count_id SERIAL PRIMARY KEY, route_id INTEGER, passenger_count INTEGER, count_date DATE);INSERT INTO public_transport.passenger_count (route_id, passenger_count, count_date) VALUES (101, 500, '2021-12-01'), (102, 3... | Display the passenger count for each route and day of the week in the 'passenger_count' table | SELECT EXTRACT(DOW FROM count_date) AS day_of_week, route_id, passenger_count FROM public_transport.passenger_count; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtSales (artist VARCHAR(255), sale_price DECIMAL(10,2)); INSERT INTO ArtSales (artist, sale_price) VALUES ('Artist A', 5000), ('Artist A', 7000), ('Artist B', 6000), ('Artist B', 8000), ('Artist C', 9000), ('Artist C', 10000); | Find the artist with the highest total revenue from art sales. | SELECT artist, SUM(sale_price) as total_revenue FROM ArtSales GROUP BY artist ORDER BY total_revenue DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE AircraftProductionCost ( id INT, model VARCHAR(255), country VARCHAR(255), quantity INT, unit_cost DECIMAL(5,2)); INSERT INTO AircraftProductionCost (id, model, country, quantity, unit_cost) VALUES (1, 'F-15', 'USA', 100, 120.50), (2, 'F-16', 'France', 200, 145.20), (3, 'F-35', 'UK', 300, 189.90); | Which countries have the highest total production cost for aircraft models? | SELECT country, SUM(quantity * unit_cost) AS total_cost FROM AircraftProductionCost GROUP BY country ORDER BY total_cost DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE teacher_pd_courses (teacher_id INT, course_id INT, district_id INT); INSERT INTO teacher_pd_courses (teacher_id, course_id, district_id) VALUES (1, 1001, 101), (2, 1002, 101), (3, 1003, 101), (4, 1004, 102), (5, 1005, 103); CREATE TABLE courses (course_id INT, course_name VARCHAR(255)); INSERT INTO courses... | Which open pedagogy courses have been taken by teachers in district 102? | SELECT c.course_name FROM teacher_pd_courses t JOIN courses c ON t.course_id = c.course_id JOIN district_info d ON t.district_id = d.district_id WHERE t.district_id = 102 AND c.course_name LIKE 'Open%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Incidents (incident_id INT, incident_type VARCHAR(50), year INT, region_id INT); INSERT INTO Incidents (incident_id, incident_type, year, region_id) VALUES (1, 'Cybersecurity incident', 2020, 5), (2, 'Natural disaster', 2021, 5); | How many cybersecurity incidents were mitigated by the South American region in 2020? | SELECT COUNT(*) FROM Incidents WHERE incident_type = 'Cybersecurity incident' AND year = 2020 AND region_id = (SELECT region_id FROM Regions WHERE region_name = 'South American'); | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id INT, name VARCHAR(50), age INT, position VARCHAR(50), team VARCHAR(50), assists INT); | What is the average number of assists for each position? | SELECT position, AVG(assists) FROM players GROUP BY position; | gretelai_synthetic_text_to_sql |
CREATE TABLE crops (id INT, name VARCHAR(50), is_organic BOOLEAN); INSERT INTO crops (id, name, is_organic) VALUES (1, 'Corn', FALSE); | Insert new records into 'crops' table for organic corn and wheat varieties | INSERT INTO crops (id, name, is_organic) VALUES (2, 'Organic Corn', TRUE), (3, 'Organic Wheat', TRUE); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_aquaculture_sites (site_id INT, certification VARCHAR(50)); INSERT INTO marine_aquaculture_sites VALUES (1, 'ASC'), (2, 'MSC'), (3, 'ASC'), (4, 'MSC'), (5, 'ASC'), (6, 'ASC'); | Which sustainable seafood certifications are most common in marine aquaculture sites? | SELECT certification, COUNT(*) AS certification_count FROM marine_aquaculture_sites GROUP BY certification ORDER BY certification_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE eu_finance_ethical_ai (org_name TEXT, sector TEXT, budget_ethical_ai INT); INSERT INTO eu_finance_ethical_ai (org_name, sector, budget_ethical_ai) VALUES ('OrgE1', 'finance', 400000), ('OrgE2', 'finance', 500000), ('OrgE3', 'finance', 600000); | What is the average budget allocated for ethical AI initiatives by organizations in the financial sector in Europe? | SELECT AVG(budget_ethical_ai) FROM eu_finance_ethical_ai WHERE sector = 'finance'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farm_certifications (id INT, farm_id INT, certification_type TEXT); INSERT INTO farm_certifications (id, farm_id, certification_type) VALUES (1, 1, 'Organic'), (2, 2, 'Conventional'); | What is the percentage of organic farms in each country? | SELECT provinces.country, 100.0 * COUNT(farm_certifications.farm_id) FILTER (WHERE farm_certifications.certification_type = 'Organic') / COUNT(farm_certifications.farm_id) as organic_percentage FROM farm_certifications JOIN farms ON farm_certifications.farm_id = farms.id JOIN provinces ON farms.id = provinces.id GROUP ... | gretelai_synthetic_text_to_sql |
CREATE TABLE battery_storage (id INT PRIMARY KEY, capacity FLOAT, warranty INT, manufacturer VARCHAR(255)); | Delete records in the "battery_storage" table where the capacity is less than 50 kWh | DELETE FROM battery_storage WHERE capacity < 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_communication_initiatives (initiative_id INT, initiative_name VARCHAR(255), location VARCHAR(255), budget DECIMAL(10,2)); INSERT INTO climate_communication_initiatives (initiative_id, initiative_name, location, budget) VALUES (1, 'Climate Education in Brazil', 'Brazil', 2000000.00), (2, 'Public Awa... | What is the total budget for climate communication initiatives in South America? | SELECT SUM(budget) FROM climate_communication_initiatives WHERE location = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE species (id INT, name VARCHAR(255), conservation_status VARCHAR(255)); | List all marine species with a conservation status of 'Endangered' or 'Critically Endangered' | SELECT name FROM species WHERE conservation_status IN ('Endangered', 'Critically Endangered'); | gretelai_synthetic_text_to_sql |
CREATE TABLE posts (id INT, post_date DATE, comments INT); INSERT INTO posts (id, post_date, comments) VALUES (1, '2022-01-01', 10), (2, '2022-01-01', 20), (3, '2022-01-02', 30), (4, '2022-01-03', 40), (5, '2022-01-04', 50), (6, '2022-01-05', 60), (7, '2022-01-06', 70), (8, '2022-01-07', 80), (9, '2022-01-08', 90), (10... | What is the minimum number of comments for posts on 'Friday'? | SELECT MIN(comments) FROM posts WHERE DATE_FORMAT(post_date, '%W') = 'Friday'; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_communication_initiatives (initiative_id INT, initiative_name VARCHAR(255), location VARCHAR(255), budget DECIMAL(10,2)); INSERT INTO climate_communication_initiatives (initiative_id, initiative_name, location, budget) VALUES (1, 'Climate Education in USA', 'USA', 5000000.00), (2, 'Public Awareness... | What is the maximum budget for a climate communication initiative in North America? | SELECT MAX(budget) FROM climate_communication_initiatives WHERE location = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE JobApplications (ApplicationID INT, JobTitle VARCHAR(50), Location VARCHAR(50), ApplicantName VARCHAR(50)); INSERT INTO JobApplications (ApplicationID, JobTitle, Location, ApplicantName) VALUES (1, 'Software Engineer', 'New York', 'John Doe'), (2, 'Software Engineer', 'Los Angeles', 'Jane Doe'); | What is the total number of job applications received, broken down by job title and location? | SELECT JobTitle, Location, COUNT(*) FROM JobApplications GROUP BY JobTitle, Location; | gretelai_synthetic_text_to_sql |
CREATE TABLE sea_ice_extent (month INT, year INT, extent FLOAT); | What is the minimum and maximum sea ice extent for each month? | SELECT month, MIN(extent), MAX(extent) FROM sea_ice_extent GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE Loans (LoanID int, LenderID int, Location varchar(50)); INSERT INTO Loans (LoanID, LenderID, Location) VALUES (1, 1, 'Africa'); CREATE TABLE Lenders (LenderID int, Name varchar(50), SociallyResponsible bit); INSERT INTO Lenders (LenderID, Name, SociallyResponsible) VALUES (1, 'Lender A', 1); | How many loans have been issued by socially responsible lenders in Africa? | SELECT COUNT(*) FROM Loans L INNER JOIN Lenders LE ON L.LenderID = LE.LenderID WHERE LE.SociallyResponsible = 1 AND L.Location = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species_at_risk (id INT, species VARCHAR(255), region VARCHAR(255)); INSERT INTO marine_species_at_risk (id, species, region) VALUES (1, 'Narwhal', 'Arctic'); INSERT INTO marine_species_at_risk (id, species, region) VALUES (2, 'Polar Bear', 'Arctic'); | What is the total number of marine species at risk in the Arctic Ocean? | SELECT COUNT(DISTINCT species) FROM marine_species_at_risk WHERE region = 'Arctic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (ID INT, Name VARCHAR(255), SafetyScore INT, Arrival DATETIME); | Insert a new record of the vessel 'Antarctic Pioneer' with a safety score of 97 and arrival date of '2022-02-27' if it doesn't exist. | INSERT INTO Vessels (Name, SafetyScore, Arrival) SELECT 'Antarctic Pioneer', 97, '2022-02-27' FROM (SELECT 1) AS Sub WHERE NOT EXISTS (SELECT 1 FROM Vessels WHERE Name = 'Antarctic Pioneer'); | gretelai_synthetic_text_to_sql |
CREATE TABLE health_data (region VARCHAR(50), Cancer INT, Heart_Disease INT); INSERT INTO health_data (region, Cancer, Heart_Disease) VALUES ('Northeast', 500, 700), ('Midwest', 400, 600), ('South', 800, 900), ('West', 300, 400); | Insert new records into the "health_data" table, unpivoting the data by region | INSERT INTO health_data (region, disease, cases) SELECT region, 'Cancer' AS disease, Cancer AS cases FROM health_data UNION ALL SELECT region, 'Heart Disease' AS disease, Heart_Disease AS cases FROM health_data; | gretelai_synthetic_text_to_sql |
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