context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE companies (id INT, name TEXT, certified_ethical BOOLEAN); INSERT INTO companies (id, name, certified_ethical) VALUES (1, 'Eco-Friendly Manufacturing', TRUE); INSERT INTO companies (id, name, certified_ethical) VALUES (2, 'Green Innovations', FALSE); INSERT INTO companies (id, name, certified_ethical) VALUE... | What is the total number of employees working in companies with ethical manufacturing certifications? | SELECT COUNT(*) AS total_employees FROM employees INNER JOIN companies ON employees.company_id = companies.id WHERE companies.certified_ethical = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessel (VesselID INT, VesselName VARCHAR(50)); INSERT INTO Vessel (VesselID, VesselName) VALUES (1, 'MSC Fantasia'); INSERT INTO Vessel (VesselID, VesselName) VALUES (2, 'CMA CGM Georg Forster'); CREATE TABLE Voyage (VoyageID INT, VesselID INT, PortID INT, DepartureDate DATE); INSERT INTO Voyage (VoyageID,... | What is the earliest departure date for each vessel? | SELECT v.VesselName, MIN(DepartureDate) as EarliestDepartureDate FROM Vessel v JOIN Voyage vo ON v.VesselID = vo.VesselID GROUP BY v.VesselName; | gretelai_synthetic_text_to_sql |
CREATE TABLE mines (id INT, country VARCHAR(255), mineral VARCHAR(255), quantity INT, year INT); INSERT INTO mines (id, country, mineral, quantity, year) VALUES (1, 'India', 'Rare Earth Elements', 100, 2000), (2, 'India', 'Rare Earth Elements', 120, 2001), (3, 'India', 'Rare Earth Elements', 140, 2002); | What is the total quantity of rare earth elements mined in India over time, with a running total? | SELECT year, SUM(quantity) OVER (ORDER BY year) FROM mines WHERE country = 'India' AND mineral = 'Rare Earth Elements'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (country VARCHAR(255), year INT, amount INT); INSERT INTO production (country, year, amount) VALUES ('China', 2020, 140000), ('USA', 2020, 38000), ('Australia', 2020, 20000), ('India', 2020, 5000); | What was the average rare earth element production in 2020? | SELECT AVG(amount) AS avg_production FROM production WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE CA_Transportation (id INT, name VARCHAR(50), type VARCHAR(50), location VARCHAR(50)); INSERT INTO CA_Transportation (id, name, type, location) VALUES (1, 'BART', 'Train', 'California'), (2, 'CA-1', 'Highway', 'California'); | Show the names, types, and locations of all transportation projects in California | SELECT name, type, location FROM CA_Transportation WHERE state = 'California' AND type = 'Transportation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouse_q(item_id INT, item_type VARCHAR(10), quantity INT);CREATE TABLE warehouse_r(item_id INT, item_type VARCHAR(10), quantity INT);INSERT INTO warehouse_q(item_id, item_type, quantity) VALUES (1, 'G', 200), (2, 'H', 300), (3, 'G', 50), (4, 'H', 400);INSERT INTO warehouse_r(item_id, item_type, quantit... | What is the total quantity of items with type 'G' or type 'H' in warehouse Q and warehouse R? | SELECT quantity FROM warehouse_q WHERE item_type IN ('G', 'H') UNION ALL SELECT quantity FROM warehouse_r WHERE item_type IN ('G', 'H'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, name VARCHAR(255), region_id INT); CREATE TABLE broadband_subscribers (subscriber_id INT, name VARCHAR(255), region_id INT); INSERT INTO mobile_subscribers (subscriber_id, name, region_id) VALUES (1, 'John Doe', 1), (2, 'Jane Smith', 2), (3, 'Mike Johnson', 3), (4, 'S... | How many mobile and broadband subscribers are there in each region? | SELECT r.region_name, COUNT(m.subscriber_id) as mobile_subscribers, COUNT(b.subscriber_id) as broadband_subscribers FROM regions AS r LEFT JOIN mobile_subscribers AS m ON r.region_id = m.region_id LEFT JOIN broadband_subscribers AS b ON r.region_id = b.region_id GROUP BY r.region_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE SafetyIncidents (Id INT, IncidentId INT, VesselName VARCHAR(50), Area VARCHAR(50), IncidentDate DATETIME); | What is the total number of safety incidents in the Persian Gulf in the last 6 months? | SELECT COUNT(DISTINCT IncidentId) FROM SafetyIncidents WHERE Area = 'Persian Gulf' AND IncidentDate >= DATEADD(MONTH, -6, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT, state VARCHAR(50), project_type VARCHAR(50), completion_year INT); INSERT INTO projects (id, state, project_type, completion_year) VALUES (1, 'Texas', 'Solar', 2016), (2, 'Texas', 'Wind', 2017), (3, 'California', 'Geothermal', 2015), (4, 'Texas', 'Wind', 2018), (5, 'Texas', 'Solar', 2015)... | How many renewable energy projects were completed in Texas between 2015 and 2018? | SELECT COUNT(*) FROM projects WHERE state = 'Texas' AND project_type IN ('Solar', 'Wind') AND completion_year BETWEEN 2015 AND 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE SOCIALLY_RESPONSIBLE_LOANS (BANK_NAME VARCHAR(50), AMOUNT NUMBER(12,2)); INSERT INTO SOCIALLY_RESPONSIBLE_LOANS VALUES ('Bank C', 20000); INSERT INTO SOCIALLY_RESPONSIBLE_LOANS VALUES ('Bank D', 25000); INSERT INTO SOCIALLY_RESPONSIBLE_LOANS VALUES ('Bank C', 30000); INSERT INTO SOCIALLY_RESPONSIBLE_LOANS ... | Find the bank with the lowest average loan amount for socially responsible lending, along with their average loan amount? | SELECT BANK_NAME, AVG(AMOUNT) AVERAGE_LOAN FROM SOCIALLY_RESPONSIBLE_LOANS GROUP BY BANK_NAME HAVING COUNT(*) = (SELECT MIN(COUNT(*)) FROM SOCIALLY_RESPONSIBLE_LOANS GROUP BY BANK_NAME); | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_impact (mine_id INT, year INT, co2_emissions INT, water_consumption INT, waste_generation INT); | Delete the environmental impact stats for the 'Ruby Rise' mine in South Africa from the "environmental_impact" table | DELETE FROM environmental_impact WHERE mine_id = 5 AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE accidents (id INT, vessel_id INT, date DATE, description TEXT, severity INT); | Insert a new record in the "accidents" table for vessel 107 with date 2018-12-31, description "Collision", and severity 5 | INSERT INTO accidents (id, vessel_id, date, description, severity) VALUES (NULL, 107, '2018-12-31', 'Collision', 5); | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (VolunteerID int, VolunteerName varchar(50), JoinDate date, FirstMonthEndDate date, TotalHours int); INSERT INTO Volunteers VALUES (1, 'Jane Doe', '2021-04-15', '2021-05-31', 20); | Find the number of volunteers who joined in Q2 2021 and the number of hours they contributed in their first month. | SELECT COUNT(DISTINCT VolunteerID), SUM(TotalHours) FROM Volunteers WHERE JoinDate BETWEEN '2021-04-01' AND '2021-06-30' AND FirstMonthEndDate = DATE_ADD(JoinDate, INTERVAL 1 MONTH) | gretelai_synthetic_text_to_sql |
CREATE TABLE funding_sources (id INT, name VARCHAR(255), type VARCHAR(255)); INSERT INTO funding_sources (id, name, type) VALUES (1, 'Foundation', 'foundation'), (2, 'Private', 'private'), (3, 'Corporate', 'corporate'); CREATE TABLE workshops (id INT, name VARCHAR(255), funding_source_id INT); INSERT INTO workshops (id... | What is the percentage of funding for workshops and classes from foundation sources? | SELECT (COUNT(CASE WHEN f.name = 'Foundation' AND t.type IN ('workshops', 'classes') THEN 1 END) * 100.0 / COUNT(*)) AS foundation_funding_percentage FROM funding_sources f JOIN workshops w ON f.id = w.funding_source_id JOIN classes c ON f.id = c.funding_source_id JOIN (VALUES ('workshops'), ('classes')) AS t(type) ON ... | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, name VARCHAR(50), age INT, gender VARCHAR(10), ethnicity VARCHAR(50)); INSERT INTO patients (id, name, age, gender, ethnicity) VALUES (1, 'John Doe', 45, 'Male', 'Asian'), (2, 'Jane Smith', 35, 'Female', 'African American'), (3, 'Alice Johnson', 50, 'Female', 'Hispanic'), (4, 'Bob Lee', 6... | What is the average age of male patients in the 'Asian' ethnicity group? | SELECT AVG(age) FROM patients WHERE gender = 'Male' AND ethnicity = 'Asian'; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (id INT, date DATE, department VARCHAR(255)); INSERT INTO security_incidents (id, date, department) VALUES (1, '2022-02-01', 'IT'), (2, '2022-02-05', 'HR'), (3, '2022-01-07', 'IT'), (4, '2022-02-10', 'Sales'); | What is the total number of security incidents reported in the Sales department in the last month? | SELECT COUNT(*) FROM security_incidents WHERE department = 'Sales' AND date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_floor_map (map_id INT, map_name VARCHAR(50), region VARCHAR(50), agency VARCHAR(50)); | Who is responsible for monitoring ocean floor mapping in the Arctic region? | SELECT agency FROM ocean_floor_map WHERE region = 'Arctic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, country VARCHAR(20), certified_cruelty_free BOOLEAN); INSERT INTO products (product_id, country, certified_cruelty_free) VALUES (1, 'USA', true), (2, 'Canada', false), (3, 'USA', true); | How many products are certified cruelty-free in each country? | SELECT country, COUNT(*) FROM products WHERE certified_cruelty_free = true GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT, name VARCHAR(50), country VARCHAR(50), job_role VARCHAR(50), salary DECIMAL(10, 2), employees INT); | What is the average salary of workers in the manufacturing industry by job role in Canada, for roles with more than 500 employees? | SELECT job_role, AVG(salary) as avg_salary FROM workers WHERE country = 'Canada' GROUP BY job_role HAVING employees > 500; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_technology (id INT, technology_name TEXT, type TEXT, development_cost FLOAT, development_year INT); INSERT INTO military_technology (id, technology_name, type, development_cost, development_year) VALUES (1, 'Stealth Bomber', 'Aircraft', 50000000, 2019), (2, 'Submarine', 'Naval', 300000000, 2020), ... | What is the average cost of naval military technology developed in the 'military_technology' table for the year 2020? | SELECT AVG(development_cost) FROM military_technology WHERE type = 'Naval' AND development_year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE desserts (dessert VARCHAR(255), revenue DECIMAL(10,2)); INSERT INTO desserts VALUES ('Cake', 3000.00), ('Ice Cream', 2500.00), ('Cake', 1000.00); | What is the total revenue for each dessert? | SELECT dessert, SUM(revenue) FROM desserts GROUP BY dessert; | gretelai_synthetic_text_to_sql |
CREATE TABLE electric_vehicles (vehicle_id INT, vehicle_model VARCHAR(50), total_sold INT, city VARCHAR(50)); INSERT INTO electric_vehicles (vehicle_id, vehicle_model, total_sold, city) VALUES (1, 'Tesla Model 3', 1200, 'Berlin'), (2, 'Nissan Leaf', 800, 'Berlin'); | Which electric vehicle models are most popular in Berlin? | SELECT vehicle_model, SUM(total_sold) FROM electric_vehicles WHERE city = 'Berlin' GROUP BY vehicle_model ORDER BY SUM(total_sold) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_personnel (country VARCHAR(50), branch VARCHAR(50), number INT); INSERT INTO military_personnel (country, branch, number) VALUES ('USA', 'Army', 470000), ('Russia', 'Army', 350000), ('China', 'Army', 1700000); | What is the total number of military personnel in the 'army' branch, per country? | SELECT country, SUM(number) as total_army_personnel FROM military_personnel WHERE branch = 'Army' GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE player_achievements (achievement_id INT, achievement_name VARCHAR(30)); | Delete records in the player_achievements table where the achievement_id is greater than 3 | DELETE FROM player_achievements WHERE achievement_id > 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE postpaid_mobile (customer_id INT, data_usage FLOAT, billing_tier VARCHAR(20), region VARCHAR(20)); | What is the average monthly data usage for postpaid mobile customers in the Midwest region, grouped by their billing tier? | SELECT billing_tier, AVG(data_usage) FROM postpaid_mobile WHERE region = 'Midwest' AND type = 'postpaid' GROUP BY billing_tier; | gretelai_synthetic_text_to_sql |
CREATE TABLE us_industrial_wastewater (state VARCHAR(255), year INT, industry VARCHAR(255), discharge FLOAT); INSERT INTO us_industrial_wastewater (state, year, industry, discharge) VALUES ('California', 2020, 'Manufacturing', 1200000), ('California', 2020, 'Agriculture', 800000), ('California', 2020, 'Mining', 500000)... | What is the maximum daily wastewater discharge for industrial use in each state of the US, for the year 2020, categorized by industry? | SELECT state, industry, MAX(discharge) as max_daily_discharge FROM us_industrial_wastewater WHERE year = 2020 GROUP BY state, industry; | gretelai_synthetic_text_to_sql |
CREATE TABLE ConsumerPreference (product_id INT, consumer_id INT, preference_rating INT, preference_date DATE); INSERT INTO ConsumerPreference (product_id, consumer_id, preference_rating, preference_date) VALUES (1, 101, 4, '2022-05-01'); INSERT INTO ConsumerPreference (product_id, consumer_id, preference_rating, prefe... | Identify the month with the most consumer preferences collected in 2022. | SELECT EXTRACT(MONTH FROM preference_date) as month, COUNT(*) as num_preferences FROM ConsumerPreference WHERE preference_date >= '2022-01-01' AND preference_date <= '2022-12-31' GROUP BY month ORDER BY num_preferences DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (name VARCHAR(255), date DATE, attendance INT); | Insert data into 'events' table from a CSV file | INSERT INTO events (name, date, attendance) SELECT * FROM csv_file('events.csv') AS t(name VARCHAR(255), date DATE, attendance INT); | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name TEXT, league TEXT); INSERT INTO teams (team_id, team_name, league) VALUES (1, 'Boston Celtics', 'NBA'); CREATE TABLE games (game_id INT, team_id INT, season_year INT, wins INT, losses INT); INSERT INTO games (game_id, team_id, season_year, wins, losses) VALUES (1, 1, 2020, 43,... | How many games did the 'Boston Celtics' play in the 'NBA' in the year 2020? | SELECT COUNT(game_id) FROM games WHERE team_id = (SELECT team_id FROM teams WHERE team_name = 'Boston Celtics') AND season_year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE Countries (CountryID INT, CountryName VARCHAR(100)); INSERT INTO Countries (CountryID, CountryName) VALUES (1, 'Afghanistan'), (2, 'Albania'); CREATE TABLE Schools (SchoolID INT, SchoolName VARCHAR(100), CountryID INT); INSERT INTO Schools (SchoolID, SchoolName, CountryID) VALUES (1, 'School1', 1), (2, 'Sc... | What is the total number of schools in each country? | SELECT CountryName, COUNT(*) as TotalSchools FROM Schools JOIN Countries ON Schools.CountryID = Countries.CountryID GROUP BY CountryName; | gretelai_synthetic_text_to_sql |
CREATE TABLE nutrition (country VARCHAR(255), calories INT, meal_time TIME); INSERT INTO nutrition (country, calories, meal_time) VALUES ('USA', 800, 'Breakfast'), ('USA', 1200, 'Lunch'), ('USA', 500, 'Dinner'), ('India', 500, 'Breakfast'), ('India', 700, 'Lunch'), ('India', 600, 'Dinner'), ('Canada', 600, 'Breakfast')... | What is the average calorie intake per meal for each country in the 'nutrition' table, ordered by average calorie intake in descending order, and limited to the top 2 countries? | SELECT country, AVG(calories) as avg_calories FROM nutrition GROUP BY country ORDER BY avg_calories DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE AsiaMicrofinance (id INT, employee_id INT, training_hours INT); INSERT INTO AsiaMicrofinance (id, employee_id, training_hours) VALUES (1, 1, 25), (2, 2, 35); | Determine the total financial capability training hours for employees in microfinance organizations in Asia | SELECT SUM(training_hours) FROM AsiaMicrofinance; | gretelai_synthetic_text_to_sql |
CREATE TABLE Satellites (SatelliteID INT, Name VARCHAR(50), LaunchDate DATETIME, CountryOfOrigin VARCHAR(50)); INSERT INTO Satellites (SatelliteID, Name, LaunchDate, CountryOfOrigin) VALUES (1, 'Sat1', '2020-01-01', 'USA'), (2, 'Sat2', '2019-05-15', 'Germany'); | List all satellites with their launch dates and countries of origin. | SELECT Name, LaunchDate, CountryOfOrigin FROM Satellites; | gretelai_synthetic_text_to_sql |
CREATE TABLE ForestTypes (id INT, name VARCHAR(255)); INSERT INTO ForestTypes (id, name) VALUES (1, 'Coniferous'), (2, 'Deciduous'), (3, 'Mixed'); CREATE TABLE Wildlife (id INT, forest_type_id INT, species VARCHAR(255)); INSERT INTO Wildlife (id, forest_type_id, species) VALUES (1, 1, 'Squirrel'), (2, 1, 'Deer'), (3, 2... | How many wildlife species are present in each forest type? | SELECT f.forest_type_id, f.name AS forest_type_name, COUNT(w.id) AS species_count FROM ForestTypes f LEFT JOIN Wildlife w ON f.id = w.forest_type_id GROUP BY f.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE ingredients (ingredient_id INT, product_id INT, ingredient_name VARCHAR(50)); INSERT INTO ingredients (ingredient_id, product_id, ingredient_name) VALUES (1, 1, 'aloe vera'), (2, 2, 'lavender'), (3, 4, 'rose'), (4, 5, 'rose'); CREATE TABLE products (product_id INT, product_name VARCHAR(100), sales INT, cer... | Identify the top 3 cruelty-free certified cosmetic products with the highest sales volume that contain 'rose' as an ingredient in the Canadian market. | SELECT products.product_name, products.sales FROM ingredients JOIN products ON ingredients.product_id = products.product_id JOIN countries ON products.country_code = countries.country_code WHERE ingredients.ingredient_name = 'rose' AND products.certification = 'cruelty-free' AND countries.country_name = 'Canada' ORDER ... | gretelai_synthetic_text_to_sql |
CREATE TABLE SpaceMissionCosts (id INT, mission VARCHAR(255), cost INT); INSERT INTO SpaceMissionCosts (id, mission, cost) VALUES (1, 'Apollo 11', 25500000); INSERT INTO SpaceMissionCosts (id, mission, cost) VALUES (2, 'Apollo 13', 35500000); | What is the total cost of each space mission and the average cost of all space missions? | SELECT mission, cost FROM SpaceMissionCosts; SELECT AVG(cost) as avg_cost FROM SpaceMissionCosts; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors(id INT, name TEXT, total_donation FLOAT);CREATE TABLE donations(id INT, donor_id INT, amount FLOAT, donation_date DATE); | What is the total amount donated by individual donors who have donated more than once in the last 12 months, and their names? | SELECT d.name, SUM(donations.amount) as total_donation FROM donations JOIN donors ON donations.donor_id = donors.id WHERE donations.donation_date BETWEEN DATE_SUB(CURDATE(), INTERVAL 12 MONTH) AND CURDATE() GROUP BY donors.id HAVING COUNT(donations.id) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT, name VARCHAR(50), industry VARCHAR(50), salary FLOAT, country VARCHAR(50)); INSERT INTO workers (id, name, industry, salary, country) VALUES (1, 'John Doe', 'oil', 60000, 'Canada'); INSERT INTO workers (id, name, industry, salary, country) VALUES (2, 'Jane Smith', 'gas', 65000, 'Canada'); ... | Insert a new record for 'Sophia Kim' with a salary of $90,000 in the 'gas' industry in British Columbia, Canada. | INSERT INTO workers (name, industry, salary, country) VALUES ('Sophia Kim', 'gas', 90000, 'Canada'); | gretelai_synthetic_text_to_sql |
CREATE TABLE workout_data (user_id INT, workout_type VARCHAR(20), duration INT); INSERT INTO workout_data (user_id, workout_type, duration) VALUES (1, 'Running', 30), (1, 'Cycling', 60), (2, 'Yoga', 45), (3, 'Pilates', 50); | What is the total number of workouts for each user in the 'workout_data' table? | SELECT user_id, COUNT(*) as total_workouts FROM workout_data GROUP BY user_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE market_share (drug_name TEXT, region TEXT, market_share FLOAT, quarter INT, year INT); INSERT INTO market_share (drug_name, region, market_share, quarter, year) VALUES ('XYZ-123', 'USA', 0.50, 4, 2021), ('ABC-456', 'Canada', 0.60, 4, 2021), ('DEF-789', 'USA', 0.40, 4, 2021); | What is the market share of drug 'ABC-456' in Canada in Q4 2021? | SELECT market_share FROM market_share WHERE drug_name = 'ABC-456' AND region = 'Canada' AND quarter = 4 AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE oceans (id INT, name VARCHAR(50)); CREATE TABLE species (id INT, ocean_id INT, name VARCHAR(50), max_size FLOAT, avg_temp FLOAT); INSERT INTO oceans VALUES (1, 'Arctic Ocean'); INSERT INTO species VALUES (1, 1, 'Greenland Shark', 180, -0.5), (2, 1, 'Beluga Whale', 150, -1.5), (3, 1, 'Narwhal', 120, -1.8); | Find the average water temperature for fish species in the Arctic Ocean with a maximum size over 100 cm. | SELECT AVG(s.avg_temp) as avg_temp FROM species s INNER JOIN oceans o ON s.ocean_id = o.id WHERE o.name = 'Arctic Ocean' AND s.max_size > 100; | gretelai_synthetic_text_to_sql |
CREATE TABLE wearable_device (user_id INT, name VARCHAR(50), device_model VARCHAR(50)); INSERT INTO wearable_device (user_id, name, device_model) VALUES (5, 'Oliver Kim', 'Fitbit Charge 4'); | Update the device model for user 'Oliver Kim' to 'Polar Vantage M' | WITH updated_device AS (UPDATE wearable_device SET device_model = 'Polar Vantage M' WHERE name = 'Oliver Kim' RETURNING *) SELECT * FROM updated_device; | gretelai_synthetic_text_to_sql |
CREATE TABLE Road_Projects (project_id int, project_name varchar(255), state varchar(255), cost decimal(10,2)); | Find the total cost of road projects in California | SELECT SUM(cost) FROM Road_Projects WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE conservation_efforts (id INT PRIMARY KEY, location VARCHAR(50), start_date DATE, end_date DATE, effort_description VARCHAR(255)); | Insert a new record into the 'conservation_efforts' table | INSERT INTO conservation_efforts (id, location, start_date, end_date, effort_description) VALUES (1, 'Coral Reef Restoration', '2022-01-01', '2025-12-31', 'Restoring and preserving coral reefs in the Caribbean.'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT, ArtistName VARCHAR(50), Nationality VARCHAR(50), ActiveYears INT, Gender VARCHAR(10));CREATE TABLE Paintings (PaintingID INT, PaintingName VARCHAR(50), ArtistID INT, DisplayStart DATE, DisplayEnd DATE);CREATE TABLE Gallery (GalleryID INT, GalleryName VARCHAR(50), City VARCHAR(50));IN... | List the total display duration for each artist from Mexico who have exhibited at 'Artistic Wonders' gallery, ordered by total display duration from highest to lowest. | SELECT Artists.ArtistName, SUM(DATEDIFF(DisplayEnd, DisplayStart)) AS TotalDisplayDays FROM Paintings JOIN Artists ON Paintings.ArtistID = Artists.ArtistID JOIN Gallery ON Paintings.GalleryID = Gallery.GalleryID WHERE GalleryName = 'Artistic Wonders' AND Nationality = 'Mexico' GROUP BY Artists.ArtistName ORDER BY Total... | gretelai_synthetic_text_to_sql |
CREATE TABLE traditional_arts (art_id INT, art_name TEXT, art_type TEXT, artist TEXT, listed_year INT); INSERT INTO traditional_arts (art_id, art_name, art_type, artist, listed_year) VALUES (1, 'Thangka Painting', 'Painting', 'Sonam', 2005), (2, 'Talavera Pottery', 'Pottery', 'Rafael', 2002); | Identify traditional art forms that were listed in the database after the year 2000, and their respective artists. | SELECT art_name, artist FROM traditional_arts WHERE listed_year > 2000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Posts (id INT, title VARCHAR(255), content_creator_name VARCHAR(100), content_creator_identity VARCHAR(50), category VARCHAR(50), likes INT); INSERT INTO Posts (id, title, content_creator_name, content_creator_identity, category, likes) VALUES (1, 'Post1', 'Creator1', 'LGBTQ+', 'Science', 10), (2, 'Post2',... | What is the minimum number of likes on posts in the "Science" category from creators who identify as LGBTQ+? | SELECT MIN(likes) FROM Posts WHERE content_creator_identity = 'LGBTQ+' AND category = 'Science'; | gretelai_synthetic_text_to_sql |
CREATE TABLE athletes (id INT, name VARCHAR(50), age INT, sport VARCHAR(50), country VARCHAR(50)); INSERT INTO athletes (id, name, age, sport, country) VALUES (1, 'John Doe', 30, 'Basketball', 'USA'), (2, 'Jane Smith', 25, 'Basketball', 'Canada'), (3, 'Pedro Martinez', 35, 'Soccer', 'Mexico'), (4, 'Sophia Rodriguez', 2... | List all athletes who have participated in a specific sport and have an age above the average age. | SELECT * FROM athletes WHERE sport = 'Basketball' AND age > (SELECT AVG(age) FROM athletes WHERE sport = 'Basketball'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (ExhibitionID INT, ExhibitionName VARCHAR(255), Category VARCHAR(255)); INSERT INTO Exhibitions (ExhibitionID, ExhibitionName, Category) VALUES (1, 'Contemporary Art Exhibition', 'Modern Art'), (2, 'Modern Art Exhibition', 'Modern Art'); | How many exhibitions are there in the "Modern Art" category? | SELECT COUNT(DISTINCT ExhibitionName) FROM Exhibitions WHERE Category = 'Modern Art'; | gretelai_synthetic_text_to_sql |
CREATE TABLE permian_basin_oil_production (well VARCHAR(255), year INT, production FLOAT); | What is the average oil production per well in the Permian Basin for 2019? | SELECT AVG(production) FROM permian_basin_oil_production WHERE well LIKE '%Permian Basin%' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE HeartRates (user_id INT, workout_date DATE, heart_rate INT); INSERT INTO HeartRates (user_id, workout_date, heart_rate) VALUES (1, '2022-01-01', 80), (1, '2022-01-02', 90), (2, '2022-01-01', 70), (2, '2022-01-02', 80); | Identify users who have a higher heart rate on Monday than on any other day of the week. | SELECT user_id FROM HeartRates WHERE EXTRACT(DAYOFWEEK FROM workout_date) = 2 AND heart_rate > (SELECT MAX(heart_rate) FROM HeartRates WHERE user_id = HeartRates.user_id AND EXTRACT(DAYOFWEEK FROM workout_date) NOT IN (2)) GROUP BY user_id HAVING COUNT(*) > 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farm (id INT, farm_name TEXT, region TEXT, species TEXT, weight FLOAT, age INT); INSERT INTO Farm (id, farm_name, region, species, weight, age) VALUES (1, 'OceanPacific', 'Pacific', 'Tilapia', 500.3, 2), (2, 'SeaBreeze', 'Atlantic', 'Salmon', 300.1, 1), (3, 'OceanPacific', 'Pacific', 'Tilapia', 600.5, 3), ... | What is the average weight of fish in the 'Indian Ocean'? | SELECT AVG(weight) FROM Farm WHERE region = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE UnionMembers (id INT, union_name VARCHAR(50), country VARCHAR(50), member_count INT); INSERT INTO UnionMembers (id, union_name, country, member_count) VALUES (1, 'United Steelworkers', 'USA', 200000), (2, 'UNITE HERE', 'USA', 300000), (3, 'TUC', 'UK', 6000000), (4, 'CUPE', 'Canada', 650000), (5, 'USW', 'Ca... | What is the maximum number of members in a union in France? | SELECT MAX(member_count) as max_members FROM UnionMembers WHERE country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE retail_sales (sale_id INT, product_id INT, quantity INT, revenue FLOAT, is_ethically_sourced BOOLEAN, sale_date DATE); | Find the total revenue and quantity of ethically sourced products sold in 2021 | SELECT SUM(revenue) as total_revenue, SUM(quantity) as total_quantity FROM retail_sales WHERE is_ethically_sourced = TRUE AND sale_date BETWEEN '2021-01-01' AND '2021-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (user_id INT, country VARCHAR(50)); CREATE TABLE posts (post_id INT, user_id INT, content TEXT, post_time TIMESTAMP); | Generate a view to display the top 3 countries with the most user posts in descending order. | CREATE VIEW top_posting_countries AS SELECT u.country, COUNT(p.post_id) AS post_count FROM users u JOIN posts p ON u.user_id = p.user_id GROUP BY u.country ORDER BY post_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE patient_mexico (id INT, age INT, diagnosis TEXT); INSERT INTO patient_mexico (id, age, diagnosis) VALUES (1, 50, 'Heart Disease'); | What is the minimum age of patients with heart disease in Mexico? | SELECT MIN(age) FROM patient_mexico WHERE diagnosis = 'Heart Disease'; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (id INT, name TEXT, genre TEXT); CREATE TABLE albums (id INT, title TEXT, artist_id INT, platform TEXT); CREATE TABLE sales (id INT, album_id INT, quantity INT, revenue DECIMAL); CREATE VIEW jazz_albums AS SELECT a.id, a.title, a.artist_id, a.platform FROM albums a JOIN artists ar ON a.artist_id = ... | What is the total revenue for all jazz albums sold on the 'streaming' platform? | SELECT SUM(revenue) FROM jazz_sales WHERE platform = 'streaming'; | gretelai_synthetic_text_to_sql |
CREATE TABLE calls (id INT, city VARCHAR(255), date DATETIME, type VARCHAR(255), description TEXT, response_time INT); INSERT INTO calls (id, city, date, type, description, response_time) VALUES (1, 'Los Angeles', '2022-01-01 12:00:00', 'Emergency', 'Fire', 10), (2, 'Los Angeles', '2022-01-02 13:00:00', 'Non-emergency'... | What is the average response time of the police department in Los Angeles, and how many calls did they receive? | SELECT AVG(response_time) FROM calls WHERE city = 'Los Angeles'; SELECT COUNT(*) FROM calls WHERE city = 'Los Angeles'; | gretelai_synthetic_text_to_sql |
CREATE TABLE contractor_maintenance(contractor_id INT, request_date DATE, request_type VARCHAR(20)); INSERT INTO contractor_maintenance(contractor_id, request_date, request_type) VALUES (1, '2021-01-01', 'equipment_inspection'), (1, '2021-01-10', 'equipment_repair'), (2, '2021-01-05', 'parts_replacement'), (2, '2021-01... | Identify the defense contractors with the highest total maintenance request count for a specific time period, in this case, January 2021. | SELECT contractor_id, COUNT(*) as total_requests FROM contractor_maintenance WHERE request_date BETWEEN '2021-01-01' AND '2021-01-31' GROUP BY contractor_id ORDER BY total_requests DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE deep_sea_species (id INT, name TEXT, location TEXT, year INT, discovered BOOLEAN); INSERT INTO deep_sea_species (id, name, location, year, discovered) VALUES (1, 'Species A', 'Indian Ocean', 2018, TRUE), (2, 'Species B', 'Indian Ocean', 2017, TRUE), (3, 'Species C', 'Atlantic Ocean', 2020, TRUE); | How many deep-sea species were discovered in the Indian Ocean in the last 5 years? | SELECT COUNT(*) FROM deep_sea_species WHERE location = 'Indian Ocean' AND discovered = TRUE AND year >= 2016; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (id INT, artist_name VARCHAR(50)); CREATE TABLE Artworks (id INT, artist_id INT, movement VARCHAR(20)); | List the names of artists who created the most number of artworks in the 'Pop Art' movement. | SELECT artist_name FROM Artists JOIN (SELECT artist_id, COUNT(*) AS num_of_artworks FROM Artworks WHERE movement = 'Pop Art' GROUP BY artist_id ORDER BY num_of_artworks DESC LIMIT 1) AS subquery ON Artists.id = subquery.artist_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellites (id INT, name TEXT, country TEXT, launch_date DATE); INSERT INTO satellites (id, name, country, launch_date) VALUES (1, 'Sentinel-1A', 'France', '2012-04-03'); INSERT INTO satellites (id, name, country, launch_date) VALUES (2, 'Sentinel-1B', 'France', '2014-04-22'); INSERT INTO satellites (id, n... | List all satellites launched between 2012-01-01 and 2014-12-31 | SELECT * FROM satellites WHERE launch_date BETWEEN '2012-01-01' AND '2014-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_finance (country VARCHAR(30), year INT, amount FLOAT); INSERT INTO climate_finance VALUES ('Germany', 2010, 1200.56), ('Germany', 2011, 1500.23), ('Germany', 2012, 1800.98), ('Germany', 2013, 2000.11), ('Germany', 2014, 2500.30), ('Germany', 2015, 3000.87); | What is the total amount of climate finance provided by Germany between 2010 and 2015? | SELECT SUM(amount) FROM climate_finance WHERE country = 'Germany' AND year BETWEEN 2010 AND 2015; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste (factory_id INT, date DATE, waste_quantity INT); INSERT INTO waste (factory_id, date, waste_quantity) VALUES (1, '2021-01-01', 50), (1, '2021-01-02', 60), (2, '2021-01-01', 40), (2, '2021-01-02', 45); | What is the total waste generated by each factory? | SELECT f.name, SUM(w.waste_quantity) FROM waste w JOIN factories f ON w.factory_id = f.id GROUP BY f.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE plots (id INT, type TEXT); INSERT INTO plots (id, type) VALUES (1, 'Urban'); INSERT INTO plots (id, type) VALUES (2, 'Agroecological'); | What is the total number of plots in the 'plots' table, where the plot is used for agroecology or urban agriculture? | SELECT COUNT(*) FROM plots WHERE type IN ('Agroecological', 'Urban'); | gretelai_synthetic_text_to_sql |
CREATE TABLE protected_areas (id INT, name VARCHAR(255), area FLOAT); INSERT INTO protected_areas (id, name, area) VALUES (1, 'Area A', 500.0), (2, 'Area B', 700.0); CREATE TABLE species_count (id INT, area_id INT, species_count INT); INSERT INTO species_count (id, area_id, species_count) VALUES (1, 1, 30), (2, 1, 40),... | What is the average wildlife species count per protected area? | SELECT AVG(species_count) FROM species_count JOIN protected_areas ON species_count.area_id = protected_areas.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE animals (id INT PRIMARY KEY, species VARCHAR(50), population INT, region VARCHAR(50)); INSERT INTO animals (id, species, population, region) VALUES (1, 'Mammoth', 2500, 'Arctic'); | Update population of 'Mammoth' in animals table by 15% | WITH cte AS (UPDATE animals SET population = population * 1.15 WHERE species = 'Mammoth') SELECT * FROM animals; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_education (id INT, region VARCHAR(50), animal_name VARCHAR(50), population INT); INSERT INTO community_education (id, region, animal_name, population) VALUES (1, 'Community Education', 'Lion', 1000), (2, 'Community Education', 'Giraffe', 1500); | Which animal has the smallest population in the 'community_education' region? | SELECT animal_name, MIN(population) FROM community_education WHERE region = 'Community Education'; | gretelai_synthetic_text_to_sql |
CREATE TABLE salaries_q2_2022 (id INT, employee_id INT, department VARCHAR(50), salary FLOAT, hire_date DATE); INSERT INTO salaries_q2_2022 (id, employee_id, department, salary, hire_date) VALUES (1, 15, 'IT', 80000.0, '2022-04-03'), (2, 16, 'IT', 85000.0, '2022-06-14'), (3, 17, 'HR', 90000.0, '2022-05-25'), (4, 18, 'H... | What is the average salary of employees hired in Q2 of 2022? | SELECT AVG(salary) FROM salaries_q2_2022 WHERE EXTRACT(QUARTER FROM hire_date) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Habitats (HabitatID INT, HabitatName TEXT, Location TEXT); INSERT INTO Habitats (HabitatID, HabitatName, Location) VALUES (2, 'National Park B', 'Country B'); INSERT INTO Habitats (HabitatID, HabitatName, Location) VALUES (3, 'Conservation Area C', 'Country C'); CREATE TABLE AnimalHabitats (AnimalID INT, H... | Which animals are present in both 'National Park B' and 'Conservation Area C'? | SELECT AnimalID FROM AnimalHabitats WHERE HabitatID = 2 INTERSECT SELECT AnimalID FROM AnimalHabitats WHERE HabitatID = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE attendees (attendee_id INT PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), phone_number VARCHAR(15), date_of_birth DATE); | Delete the record for attendee_id 1001 | DELETE FROM attendees WHERE attendee_id = 1001; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name TEXT, industry TEXT); INSERT INTO company (id, name, industry) VALUES (1, 'CleanEnergy', 'Clean Energy'); INSERT INTO company (id, name, industry) VALUES (2, 'TechBoost', 'Technology'); CREATE TABLE funding_round (company_id INT, round_size INT); INSERT INTO funding_round (company_id,... | What is the maximum funding round size in the clean energy sector? | SELECT MAX(funding_round.round_size) FROM company INNER JOIN funding_round ON company.id = funding_round.company_id WHERE company.industry = 'Clean Energy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (game_id INT, game_name VARCHAR(50), release_year INT, category VARCHAR(50), price DECIMAL(5,2), sales INT); INSERT INTO games VALUES (1, 'GameA', 2014, 'Action', 59.99, 15000); INSERT INTO games VALUES (2, 'GameB', 2016, 'RPG', 49.99, 20000); INSERT INTO games VALUES (3, 'GameC', 2015, 'Strategy', 3... | What are the total sales for each game category, and which category has the highest sales, considering only games released after 2015? | SELECT category, SUM(sales) as total_sales FROM games WHERE release_year > 2015 GROUP BY category ORDER BY total_sales DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE state_water_usage (state VARCHAR(255), usage INT); INSERT INTO state_water_usage (state, usage) VALUES ('California', 10000), ('Texas', 8000), ('Florida', 7000); | What is the total water usage by each state? | SELECT state, SUM(usage) FROM state_water_usage GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouse (id INT, location VARCHAR(50), packages INT); INSERT INTO Warehouse (id, location, packages) VALUES (1, 'California', 500), (2, 'Texas', 300), (3, 'New York', 400); | Find the number of packages shipped to California from January 1, 2021 to January 10, 2021 | SELECT SUM(packages) FROM Warehouse WHERE location = 'California' AND timestamp BETWEEN '2021-01-01' AND '2021-01-10'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorker (ID INT, State VARCHAR(50), Ethnicity VARCHAR(50)); INSERT INTO CommunityHealthWorker (ID, State, Ethnicity) VALUES (1, 'Texas', 'Hispanic'), (2, 'Texas', 'African American'), (3, 'Texas', 'Asian'), (4, 'Texas', 'White'); | Number of community health workers by ethnicity in Texas? | SELECT Ethnicity, COUNT(*) as CHWCount FROM CommunityHealthWorker WHERE State = 'Texas' GROUP BY Ethnicity; | gretelai_synthetic_text_to_sql |
CREATE TABLE CulturalEvents (id INT, city VARCHAR(50), date DATE, ticket_price DECIMAL(5,2)); INSERT INTO CulturalEvents (id, city, date, ticket_price) VALUES (1, 'New York', '2022-01-01', 50.00), (2, 'Los Angeles', '2022-01-02', 60.00), (3, 'New York', '2022-01-03', 40.00); | What is the average ticket price for cultural events in each city? | SELECT city, AVG(ticket_price) FROM CulturalEvents GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer_events (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), description TEXT, start_date DATETIME, end_date DATETIME); | Create a table named 'volunteer_events' | CREATE TABLE volunteer_events (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), description TEXT, start_date DATETIME, end_date DATETIME); | gretelai_synthetic_text_to_sql |
CREATE TABLE PlayerHours (PlayerID INT, Game VARCHAR(10), Hours DECIMAL(3, 2)); INSERT INTO PlayerHours (PlayerID, Game, Hours) VALUES (1, 'VR', 3.5); | What is the average number of hours played per day for players who play VR games? | SELECT AVG(Hours) FROM PlayerHours WHERE Game = 'VR'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sensor_data_2022 (location VARCHAR(50), sensor_type VARCHAR(50), temperature FLOAT, reading_date DATE); INSERT INTO sensor_data_2022 (location, sensor_type, temperature, reading_date) VALUES ('Vineyard in California', 'Soil Moisture', 23.5, '2022-06-01'); INSERT INTO sensor_data_2022 (location, sensor_type... | What is the average temperature recorded by the soil moisture sensor in the 'sensor_data_2022' table for vineyards located in California? | SELECT AVG(temperature) FROM sensor_data_2022 WHERE location = 'Vineyard in California' AND sensor_type = 'Soil Moisture'; | gretelai_synthetic_text_to_sql |
CREATE TABLE public.covid_data (id SERIAL PRIMARY KEY, city TEXT, cases INTEGER); INSERT INTO public.covid_data (city, cases) VALUES ('San Francisco', 1000), ('Los Angeles', 2000), ('San Diego', 1500), ('San Jose', 1200), ('Sacramento', 800); | Identify the top 3 cities with the highest number of COVID-19 cases in the state of California. | SELECT city, cases FROM public.covid_data ORDER BY cases DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE traffic_violations(id INT, violation_number INT, violation_date DATE, city VARCHAR(50));CREATE TABLE violation_status(id INT, violation_number INT, violation_status VARCHAR(50)); | Update the status of all traffic violations that occurred more than 1 year ago in the city of Chicago to 'expired'. | UPDATE violation_status SET violation_status = 'expired' WHERE violation_number IN (SELECT tv.violation_number FROM traffic_violations tv WHERE tv.violation_date < NOW() - INTERVAL 1 YEAR AND tv.city = 'Chicago'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Hospital (HospitalName TEXT, State TEXT); INSERT INTO Hospital VALUES ('Bellevue Hospital', 'New York'), ('Mount Sinai Hospital', 'New York'); | How many hospitals are there in New York? | SELECT COUNT(*) FROM Hospital WHERE State = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_id INT, amount DECIMAL(10,2)); INSERT INTO donations (id, donor_id, amount) VALUES (1, 1, 1000.00); INSERT INTO donations (id, donor_id, amount) VALUES (2, 1, 2000.00); INSERT INTO donations (id, donor_id, amount) VALUES (3, 2, 3000.00); | Get the top 3 donors by total donation amount | SELECT donor_id, SUM(amount) as total_donations FROM donations GROUP BY donor_id ORDER BY total_donations DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE visual_arts_programs (program_id INT, program_name VARCHAR(50)); CREATE TABLE program_funding (program_id INT, source_id INT, amount DECIMAL(5,2)); CREATE TABLE funding_sources (source_id INT, source_name VARCHAR(50)); INSERT INTO visual_arts_programs (program_id, program_name) VALUES (1, 'Painting Classes... | What is the total amount of funding received by visual arts programs in the last quarter? | SELECT AVG(p.amount) as avg_funding FROM program_funding p INNER JOIN visual_arts_programs v ON p.program_id = v.program_id INNER JOIN funding_sources fs ON p.source_id = fs.source_id WHERE v.program_name IN ('Painting Classes', 'Sculpture Workshops', 'Photography Course') AND p.amount IS NOT NULL AND fs.source_name IN... | gretelai_synthetic_text_to_sql |
CREATE TABLE taxi (taxi_id INT, vehicle_type VARCHAR(20), avg_speed FLOAT); INSERT INTO taxi (taxi_id, vehicle_type, avg_speed) VALUES (1, 'Tesla', 25.6), (2, 'Nissan Leaf', 22.3), (3, 'Chevy Bolt', 23.7); | What are the average speeds of electric vehicles in the NYC taxi fleet? | SELECT avg(avg_speed) FROM taxi WHERE vehicle_type LIKE 'Electric%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (id INT, name TEXT, location TEXT); INSERT INTO ports (id, name, location) VALUES (1, 'Port of Singapore', 'Singapore'); CREATE TABLE shipments (id INT, container_count INT, departure_port_id INT, arrival_region TEXT, shipment_date DATE); INSERT INTO shipments (id, container_count, departure_port_id,... | How many containers were shipped from the Port of Singapore to South America in the past year, grouped by the month of shipment? | SELECT departure_port_id, arrival_region, MONTH(shipment_date) AS month, SUM(container_count) FROM shipments WHERE departure_port_id = (SELECT id FROM ports WHERE name = 'Port of Singapore') AND arrival_region = 'South America' AND shipment_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE student_mental_health (student_id INT, district_id INT, mental_health_score INT, date DATE); CREATE TABLE professional_development_courses (course_id INT, student_id INT, course_name VARCHAR(100), date DATE); CREATE TABLE districts (district_id INT, district_name VARCHAR(100)); | What is the average mental health score of students in each district who have participated in at least 3 professional development courses? | SELECT d.district_name, AVG(smh.mental_health_score) as avg_mental_health_score FROM student_mental_health smh JOIN districts d ON smh.district_id = d.district_id JOIN (SELECT student_id, COUNT(*) as num_courses FROM professional_development_courses GROUP BY student_id HAVING num_courses >= 3) pdc ON smh.student_id = p... | gretelai_synthetic_text_to_sql |
CREATE TABLE funding (id INT, source TEXT, category TEXT, amount INT); INSERT INTO funding VALUES (1, 'Private', 'Music', 10000); | What is the total amount of funding from private sources for music events? | SELECT SUM(funding.amount) FROM funding WHERE funding.source = 'Private' AND funding.category = 'Music'; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouse (id INT PRIMARY KEY, name VARCHAR(50), city VARCHAR(50)); | Delete all records from the 'warehouse' table where the city is 'Cairo'. | DELETE FROM warehouse WHERE city = 'Cairo'; | gretelai_synthetic_text_to_sql |
CREATE TABLE restorative_justice_programs (id INT, program_type TEXT, num_prior_offenses INT, completion_date DATE); | How many individuals have completed a restorative justice program in the past year, broken down by the type of program and the number of prior offenses? | SELECT program_type, num_prior_offenses, COUNT(*) FROM restorative_justice_programs WHERE completion_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY program_type, num_prior_offenses; | gretelai_synthetic_text_to_sql |
CREATE TABLE unions (id INT, union_name VARCHAR(255), sector VARCHAR(255)); INSERT INTO unions (id, union_name, sector) VALUES (1, 'United Steelworkers', 'Private'), (2, 'American Federation of State, County and Municipal Employees', 'Public'); CREATE TABLE negotiations (id INT, union_id INT, success BOOLEAN, negotiati... | What is the collective bargaining success rate for private sector unions in the last 12 months? | SELECT u.union_name, AVG(n.success) as success_rate FROM unions u JOIN negotiations n ON u.id = n.union_id WHERE u.sector = 'Private' AND n.negotiation_date >= DATE(NOW()) - INTERVAL 12 MONTH GROUP BY u.union_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE dishes (dish_id INT, dish_name VARCHAR(255), price DECIMAL(5,2)); INSERT INTO dishes (dish_id, dish_name, price) VALUES (1, 'Margherita Pizza', 12.99), (2, 'Chicken Alfredo', 15.99), (3, 'Caesar Salad', 9.99); | Identify the dish with the highest price | SELECT dish_name, price FROM dishes ORDER BY price DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE player_achievements (player_id INT, achievement_name VARCHAR(255), achievement_date DATE); | Create a table named 'player_achievements' | CREATE TABLE player_achievements (player_id INT, achievement_name VARCHAR(255), achievement_date DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, name VARCHAR(50), age INT, gender VARCHAR(10), risk_score INT, portfolio_value DECIMAL(10,2)); INSERT INTO customers (customer_id, name, age, gender, risk_score, portfolio_value) VALUES (1, 'John Doe', 35, 'Male', 5, 50000.00), (2, 'Jane Smith', 45, 'Female', 7, 75000.00), (3, '... | What is the average portfolio value for customers in each age group (e.g., 18-24, 25-34, 35-44, etc.)? | SELECT AVG(portfolio_value) as avg_portfolio_value, FLOOR((age-1)/10)*10 as age_group FROM customers GROUP BY age_group; | gretelai_synthetic_text_to_sql |
CREATE TABLE farm_locations (location_id INT PRIMARY KEY, location_name VARCHAR(255), country VARCHAR(255), ocean VARCHAR(255)); | Create a table named 'farm_locations' | CREATE TABLE farm_locations (location_id INT PRIMARY KEY, location_name VARCHAR(255), country VARCHAR(255), ocean VARCHAR(255)); | gretelai_synthetic_text_to_sql |
CREATE TABLE education_programs (program_id INT, program_name VARCHAR(20), budget INT); INSERT INTO education_programs (program_id, program_name, budget) VALUES (1, 'Community Outreach', 15000); INSERT INTO education_programs (program_id, program_name, budget) VALUES (2, 'School Visits', 20000); | What is the total number of education programs and their respective budgets? | SELECT COUNT(*), SUM(budget) FROM education_programs; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, name TEXT); CREATE TABLE raw_materials (raw_material_id INT, name TEXT, supplier_id INT, delivery_date DATE); CREATE TABLE process_raw_materials (process_id INT, raw_material_id INT); | Which suppliers provided raw materials for the 'High-Efficiency Solar Panel Production' process in the past month? | SELECT DISTINCT suppliers.name FROM suppliers INNER JOIN process_raw_materials ON suppliers.supplier_id = (SELECT supplier_id FROM raw_materials WHERE raw_materials.raw_material_id = process_raw_materials.raw_material_id) INNER JOIN raw_materials ON process_raw_materials.raw_material_id = raw_materials.raw_material_id ... | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT, name VARCHAR(50), gender VARCHAR(10), age INT, farm_size FLOAT); INSERT INTO farmers (id, name, gender, age, farm_size) VALUES (1, 'Jane', 'Female', 45, 200.5), (2, 'Alice', 'Female', 34, 150.3), (3, 'Bob', 'Male', 50, 350.7); | What is the total number of farms owned by women in the 'agriculture_database'? | SELECT COUNT(*) FROM farmers WHERE gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE african_excavations (id INT, site_name VARCHAR(50), artifact_name VARCHAR(50), weight INT, material VARCHAR(20)); | Count of 'metal' artifacts from 'african_excavations' per site | SELECT site_name, COUNT(*) FROM african_excavations WHERE material = 'metal' GROUP BY site_name; | gretelai_synthetic_text_to_sql |
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