context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE hospitals (name VARCHAR(255), type VARCHAR(255), region VARCHAR(255)); INSERT INTO hospitals (name, type, region) VALUES ('Hospital A', 'Public', 'West'), ('Hospital B', 'Private', 'West'), ('Hospital C', 'Teaching', 'West'), ('Hospital D', 'Public', 'East'), ('Hospital E', 'Private', 'East'); | What is the percentage of hospitals that are public in the West region? | SELECT 100.0 * COUNT(*) FILTER (WHERE type = 'Public') / COUNT(*) FROM hospitals WHERE region = 'West'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policy (PolicyID INT, PolicyholderID INT, Product VARCHAR(10), UpdateDate DATE); INSERT INTO Policy (PolicyID, PolicyholderID, Product, UpdateDate) VALUES (1, 1, 'Auto', '2020-05-05'), (2, 2, 'Home', '2021-01-01'), (3, 3, 'Auto', '2019-09-09'), (4, 4, 'Home', '2022-04-04'); | Delete policies that have not been updated in the last 2 years. | DELETE FROM Policy WHERE UpdateDate < DATEADD(YEAR, -2, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (worker_id INT, name TEXT, trained_in TEXT); INSERT INTO workers (worker_id, name, trained_in) VALUES (1, 'James Smith', 'Industry 4.0'), (2, 'Emily Johnson', 'ERP'), (3, 'Robert Brown', 'AI'), (4, 'Jessica Davis', 'Circular Economy'); CREATE TABLE trainings (training_id INT, worker_id INT, trainin... | List all workers who have been trained in Industry 4.0 technologies and their corresponding training dates and locations. | SELECT w.name, t.training_date, t.location FROM workers w INNER JOIN trainings t ON w.worker_id = t.worker_id WHERE w.trained_in = 'Industry 4.0'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT PRIMARY KEY, FirstName VARCHAR(50), LastName VARCHAR(50), DonationAmount DECIMAL(10,2), DonationDate DATE); CREATE TABLE DonationEvents (EventID INT PRIMARY KEY, EventName VARCHAR(100), EventType VARCHAR(100), DonationID INT, FOREIGN KEY (DonationID) REFERENCES Donors(DonorID)); CREATE ... | What is the total donation amount for 'Awareness' events organized by 'Greenpeace' and 'World Wildlife Fund'? | SELECT SUM(DonationAmount) as TotalDonationAmount FROM Donors d JOIN DonationEvents e ON d.DonorID = e.DonationID JOIN Organizations o ON d.DonorID = o.VolunteerID WHERE e.EventType = 'Awareness' AND o.OrganizationName IN ('Greenpeace', 'World Wildlife Fund'); | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping_operations (operation_id INT PRIMARY KEY, operation_name VARCHAR(50), start_date DATE, end_date DATE, participating_countries INT); | Insert a new record into the 'peacekeeping_operations' table for 'Operation Restore Hope' with 9 participating countries | INSERT INTO peacekeeping_operations (operation_id, operation_name, start_date, end_date, participating_countries) VALUES (1, 'Operation Restore Hope', '1992-12-03', '1993-05-04', 9); | gretelai_synthetic_text_to_sql |
CREATE TABLE military_sales(id INT, year INT, country TEXT, value FLOAT);INSERT INTO military_sales(id, year, country, value) VALUES (1, 2019, 'USA', 20000000); | Delete all military sales records for 2019 | DELETE FROM military_sales WHERE year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE Public_Works (Project_ID INT, Project_Name VARCHAR(255), Cost FLOAT, Year INT, Location VARCHAR(255)); | What is the minimum cost of public works projects in the Pacific Northwest for the year 2021? | SELECT Year, MIN(Cost) FROM Public_Works WHERE Location LIKE '%Pacific Northwest%' AND Year = 2021 GROUP BY Year; | gretelai_synthetic_text_to_sql |
CREATE TABLE OceaniaSites (id INT, site VARCHAR(50), continent VARCHAR(50), added_date DATE); INSERT INTO OceaniaSites (id, site, continent, added_date) VALUES (1, 'Great Barrier Reef', 'Oceania', '2022-06-15'), (2, 'Sydney Opera House', 'Oceania', '2022-07-22'), (3, 'Uluru', 'Oceania', '2022-08-01'); | How many heritage sites in Oceania have been added to the database in the last 3 months? | SELECT COUNT(*) FROM OceaniaSites WHERE continent = 'Oceania' AND added_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE forestry (id INT, name VARCHAR(50), carbon_sequestration_id INT, PRIMARY KEY (id), FOREIGN KEY (carbon_sequestration_id) REFERENCES carbon_sequestration(id)); | Delete records with no carbon sequestration data. | DELETE FROM forestry WHERE carbon_sequestration_id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage (id INT, usage FLOAT, purpose VARCHAR(20), date DATE); INSERT INTO water_usage (id, usage, purpose, date) VALUES (1, 0, 'industrial', '2021-10-01'); INSERT INTO water_usage (id, usage, purpose, date) VALUES (2, 150, 'residential', '2021-10-01'); | Find the number of days in 'October 2021' with zero water usage for 'industrial' purposes in the 'water_usage' table | SELECT COUNT(*) FROM (SELECT date FROM water_usage WHERE purpose = 'industrial' AND usage = 0 AND date BETWEEN '2021-10-01' AND '2021-10-31' GROUP BY date HAVING COUNT(*) = 1) as zero_days; | gretelai_synthetic_text_to_sql |
CREATE TABLE dapps (id INT, category TEXT, region TEXT); INSERT INTO dapps (id, category, region) VALUES (1, 'Finance', 'Global'); | What is the total number of decentralized applications in the finance category worldwide? | SELECT COUNT(*) FROM dapps WHERE category = 'Finance'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Inspections (restaurant_id INT, inspection_date DATE); INSERT INTO Inspections (restaurant_id, inspection_date) VALUES (5, '2020-01-01'), (5, '2020-02-01'); | How many food safety inspections were conducted for 'Green Garden' in 2020? | SELECT COUNT(*) FROM Inspections WHERE restaurant_id = 5 AND EXTRACT(YEAR FROM inspection_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE garments (id INT, category VARCHAR(255), subcategory VARCHAR(255), gender VARCHAR(50), material VARCHAR(50), price DECIMAL(10, 2), country VARCHAR(50)); INSERT INTO garments (id, category, subcategory, gender, material, price, country) VALUES (1, 'Tops', 'T-Shirts', 'Unisex', 'Tencel', 29.99, 'South Korea'... | Find the average retail price of unisex garments made from Tencel in South Korea. | SELECT AVG(price) FROM garments WHERE gender = 'Unisex' AND material = 'Tencel' AND country = 'South Korea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (tour_id INT, location TEXT, revenue FLOAT, date DATE); INSERT INTO virtual_tours (tour_id, location, revenue, date) VALUES (1, 'London Eye', 50000, '2021-10-01'), (2, 'Stonehenge', 40000, '2021-11-01'); | What is the total revenue generated by virtual tours in the United Kingdom last year? | SELECT SUM(revenue) FROM virtual_tours WHERE location = 'United Kingdom' AND date >= DATEADD(year, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE crime_incidents (incident_id INT, did INT, incident_type VARCHAR(255), incident_date DATE); INSERT INTO crime_incidents (incident_id, did, incident_type, incident_date) VALUES (1, 1, 'Theft', '2022-01-01'), (2, 2, 'Vandalism', '2022-01-02'), (3, 3, 'Assault', '2022-01-03'), (4, 1, 'Minor Traffic Violation'... | Delete records of crime incidents with an 'incident_type' of 'Minor Traffic Violation' | DELETE FROM crime_incidents WHERE incident_type = 'Minor Traffic Violation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE eu_ets_data (date DATE, price FLOAT); INSERT INTO eu_ets_data (date, price) VALUES ('2022-01-01', 30.0), ('2022-01-02', 31.0), ('2022-01-03', 32.0); | Identify the carbon price (€/tCO2) in the EU ETS for the past 3 months? | SELECT price FROM eu_ets_data WHERE date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (id INT, donor_id INT, country VARCHAR(50), amount DECIMAL(10, 2), donation_date DATE); INSERT INTO Donations (id, donor_id, country, amount, donation_date) VALUES (1, 1001, 'USA', 200.00, '2023-01-05'); INSERT INTO Donations (id, donor_id, country, amount, donation_date) VALUES (2, 1002, 'Canada... | Identify the top 3 countries with the highest total donation amount in Q1 2023. | SELECT country, SUM(amount) as total_donation FROM Donations WHERE donation_date >= '2023-01-01' AND donation_date < '2023-04-01' GROUP BY country ORDER BY total_donation DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinical_trial (trial_id INT, drug_name TEXT, trial_region TEXT, trial_outcome TEXT, trial_date DATE); | Insert a new clinical trial record for a specific drug and region with a given outcome and date. | INSERT INTO clinical_trial (trial_id, drug_name, trial_region, trial_outcome, trial_date) VALUES (4, 'DrugD', 'Asia', 'successful', '2022-03-25'); | gretelai_synthetic_text_to_sql |
CREATE TABLE decentralized_applications (id INT, name VARCHAR(255), developer VARCHAR(255), transaction_volume DECIMAL(10, 2), country VARCHAR(255)); INSERT INTO decentralized_applications (id, name, developer, transaction_volume, country) VALUES (1, 'App 1', 'Dev 1', 5000.00, 'Brazil'), (2, 'App 2', 'Dev 2', 7000.00, ... | Who are the developers of the top 3 decentralized applications by transaction volume in South America? | SELECT developer, SUM(transaction_volume) FROM decentralized_applications WHERE country IN ('Brazil', 'Argentina', 'Colombia', 'Chile', 'Peru') GROUP BY developer ORDER BY SUM(transaction_volume) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_development (id INT, initiative_name VARCHAR(50), funding_org VARCHAR(50), org_location VARCHAR(50)); INSERT INTO community_development (id, initiative_name, funding_org, org_location) VALUES (1, 'Youth Empowerment Program', 'LocalAid', 'USA'), (2, 'Renewable Energy Workshops', 'GreenAsia', 'Chin... | List the unique community development initiatives from the 'community_development' table that have not received any funding from organizations based in Asia? | SELECT initiative_name FROM community_development WHERE initiative_name NOT IN (SELECT initiative_name FROM community_development WHERE org_location LIKE '%Asia%'); | gretelai_synthetic_text_to_sql |
CREATE TABLE site_capacity (site VARCHAR(20), state VARCHAR(20), capacity INT); INSERT INTO site_capacity (site, state, capacity) VALUES ('SiteA', 'NSW', 2000), ('SiteB', 'QLD', 1500), ('SiteC', 'NSW', 2500); | What is the maximum production capacity for each site in NSW? | SELECT site, MAX(capacity) FROM site_capacity WHERE state = 'NSW' GROUP BY site; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_mammals (id INT PRIMARY KEY, name VARCHAR(255), species VARCHAR(255), population INT, conservation_status VARCHAR(255)); | Create a table named "marine_mammals" | CREATE TABLE marine_mammals (id INT PRIMARY KEY, name VARCHAR(255), species VARCHAR(255), population INT, conservation_status VARCHAR(255)); | gretelai_synthetic_text_to_sql |
CREATE TABLE RetailSales (id INT, garment_type VARCHAR(20), sustainable BOOLEAN, country VARCHAR(20), revenue DECIMAL(10, 2), year INT); INSERT INTO RetailSales (id, garment_type, sustainable, country, revenue, year) VALUES (1, 'Dress', TRUE, 'South Korea', 75.50, 2021), (2, 'Shirt', FALSE, 'South Korea', 120.00, 2021)... | Find the minimum retail sales revenue for any sustainable garment type in South Korea in 2021. | SELECT MIN(revenue) as min_revenue FROM RetailSales WHERE sustainable = TRUE AND country = 'South Korea' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE NationalSecurity (Id INT PRIMARY KEY, Country VARCHAR(50), Budget INT); | Reveal national security budgets larger than the average budget | SELECT Country FROM NationalSecurity WHERE Budget > (SELECT AVG(Budget) FROM NationalSecurity); | gretelai_synthetic_text_to_sql |
CREATE TABLE station_counts (region VARCHAR(10), num_stations INT, num_buses INT); INSERT INTO station_counts (region, num_stations, num_buses) VALUES ('east', 10, 50), ('west', 12, 60), ('north', 15, 75), ('south', 8, 40); | What is the maximum number of buses per station in the 'south' region? | SELECT MAX(num_buses/num_stations) FROM station_counts WHERE region = 'south'; | gretelai_synthetic_text_to_sql |
CREATE TABLE project (id INT, state VARCHAR(20), type VARCHAR(20), hours INT); INSERT INTO project (id, state, type, hours) VALUES (1, 'Texas', 'Sustainable', 400), (2, 'Texas', 'Traditional', 300), (3, 'Seattle', 'Sustainable', 500), (4, 'California', 'Traditional', 200); | What is the minimum labor hours for any traditional building project in the state of California? | SELECT MIN(hours) FROM project WHERE state = 'California' AND type = 'Traditional'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_species (id INT, species TEXT, dissolved_oxygen_tolerance FLOAT);CREATE TABLE temperature_readings (id INT, species TEXT, date DATE, temperature FLOAT, dissolved_oxygen FLOAT); | What is the average temperature and dissolved oxygen level for each species of fish in the aquaculture facility? | SELECT species, AVG(temperature) AS avg_temperature, AVG(dissolved_oxygen) AS avg_dissolved_oxygen FROM temperature_readings tr JOIN fish_species fs ON tr.species = fs.species GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (id INT, name VARCHAR(50), location VARCHAR(50), production_count INT); INSERT INTO factories (id, name, location, production_count) VALUES (1, 'Factory A', 'Europe', 1500), (2, 'Factory B', 'Europe', 800), (3, 'Factory C', 'Asia', 1800); | Which factories in Europe have a production count greater than 1000? | SELECT name FROM factories WHERE location = 'Europe' AND production_count > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE donation (donation_id INT, donor_id INT, org_id INT, program_id INT, amount DECIMAL(10,2)); INSERT INTO donation (donation_id, donor_id, org_id, program_id, amount) VALUES (1, 1001, 1, 101, 5000.00), (2, 1001, 1, 102, 7500.00), (3, 1002, 2, 201, 1000.00), (4, 1002, 2, 202, 2000.00), (5, 1003, 3, 301, 3000.... | Which programs received the most funding from donors? | SELECT program.program_name, SUM(donation.amount) as total_funding FROM donation JOIN program ON donation.program_id = program.program_id GROUP BY program.program_name ORDER BY total_funding DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (id INT, name TEXT, country TEXT); INSERT INTO artists (id, name, country) VALUES (1, 'Ed Sheeran', 'United Kingdom'); CREATE TABLE concerts (id INT, artist_id INT, location TEXT); INSERT INTO concerts (id, artist_id, location) VALUES (1, 1, 'Paris, France'); | Find the artist with the most concerts in Europe. | SELECT artists.name FROM artists JOIN concerts ON artists.id = concerts.artist_id WHERE location LIKE '%Europe%' GROUP BY artists.name ORDER BY COUNT(*) DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE patient_outcomes (id INT, patient_id INT, outcome VARCHAR(20), age INT); INSERT INTO patient_outcomes (id, patient_id, outcome, age) VALUES (1, 1, 'Improved', 30), (2, 2, 'Unchanged', 45), (3, 3, 'Deteriorated', 25), (4, 4, 'Improved', 50), (5, 5, 'Improved', 35); | What is the distribution of patient outcomes in Toronto, partitioned by age group? | SELECT age_group, AVG(outcome = 'Improved') * 100 AS improved, AVG(outcome = 'Unchanged') * 100 AS unchanged, AVG(outcome = 'Deteriorated') * 100 AS deteriorated FROM (SELECT patient_outcomes.*, (age - 18) / 10 * 10 AS age_group FROM patient_outcomes WHERE city = 'Toronto') t GROUP BY age_group; | gretelai_synthetic_text_to_sql |
CREATE TABLE exit_strategies (company_name VARCHAR(255), exit_year INT, exit_type VARCHAR(50)); | Update the exit type for "Beta Inc" to "Acquisition" in the "exit_strategies" table | UPDATE exit_strategies SET exit_type = 'Acquisition' WHERE company_name = 'Beta Inc'; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (id INT, degree VARCHAR(255)); INSERT INTO attorneys (id, degree) VALUES (1, 'JD'), (2, 'LLM'), (3, 'JD'), (4, 'BA'); CREATE TABLE cases (id INT, attorney_id INT); INSERT INTO cases (id, attorney_id) VALUES (1, 1), (2, 1), (3, 3), (4, 4), (5, 2); | What is the total number of cases handled by attorneys with a 'JD' degree? | SELECT COUNT(*) FROM cases INNER JOIN attorneys ON cases.attorney_id = attorneys.id WHERE attorneys.degree = 'JD'; | gretelai_synthetic_text_to_sql |
CREATE TABLE neodymium_production (year INT, production_volume INT); INSERT INTO neodymium_production VALUES (2015, 110), (2016, 120), (2017, 130), (2018, 140), (2019, 150); | What was the total production volume of Neodymium in 2018? | SELECT SUM(production_volume) FROM neodymium_production WHERE year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE socially_responsible_loans (bank_name VARCHAR(255), loan_amount DECIMAL(10,2), loan_date DATE); | What is the total amount of socially responsible loans issued by each bank? | SELECT bank_name, SUM(loan_amount) FROM socially_responsible_loans GROUP BY bank_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE sector (id INT, name VARCHAR(255)); CREATE TABLE project (id INT, sector_id INT, budget DECIMAL(10, 2)); INSERT INTO sector (id, name) VALUES (1, 'healthcare'); INSERT INTO project (id, sector_id, budget) VALUES (1, 1, 5000), (2, 1, 7000), (3, 1, 3000); | What is the total budget for all projects in the 'healthcare' sector? | SELECT sector_id, SUM(budget) as total_budget FROM project WHERE sector_id = (SELECT id FROM sector WHERE name = 'healthcare') GROUP BY sector_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cases (ID INT, CaseNumber INT, DateOpened DATE, DateClosed DATE, Resolution VARCHAR(255)); INSERT INTO Cases (ID, CaseNumber, DateOpened, DateClosed, Resolution) VALUES (1, 12345, '2022-01-01', '2022-03-15', 'Community Service'), (2, 67890, '2022-02-15', '2022-04-30', 'Fine'), (3, 111213, '2022-03-28', NUL... | What is the average time taken for case resolution through community service in the past 6 months? | SELECT AVG(DATEDIFF(DateClosed, DateOpened)) as AvgTimeToResolve FROM Cases WHERE Resolution = 'Community Service' AND DateClosed IS NOT NULL AND DateOpened >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_healthcare (name VARCHAR(255), type VARCHAR(255), location VARCHAR(255)); INSERT INTO rural_healthcare (name, type, location) VALUES ('Rural General Hospital', 'Hospital', 'Bushland'), ('Rural Community Hospital', 'Hospital', 'Forest Region'); | Update the location of 'Rural General Hospital' to 'Mountain Region' | UPDATE rural_healthcare SET location = 'Mountain Region' WHERE name = 'Rural General Hospital' AND type = 'Hospital'; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name TEXT, city TEXT, country TEXT, funding FLOAT); INSERT INTO startups (id, name, city, country, funding) VALUES (1, 'Genetech', 'San Francisco', 'USA', 50000000); INSERT INTO startups (id, name, city, country, funding) VALUES (2, 'BioSteward', 'Boston', 'USA', 75000000); | What is the total funding received by biotech startups located in the US, grouped by their city? | SELECT city, SUM(funding) FROM startups WHERE country = 'USA' GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE species_per_region (region_id INT, species_count INT); INSERT INTO species_per_region (region_id, species_count) VALUES (1, 3), (2, 2), (3, 1); | List marine research stations and the number of marine species in their region | SELECT r.station_name, sp.species_count FROM research_stations r JOIN species_per_region sp ON r.region_id = sp.region_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (RestaurantID int, Name varchar(50), Location varchar(50)); INSERT INTO Restaurants (RestaurantID, Name, Location) VALUES (1, 'Organic Bites', 'California'); CREATE TABLE Meals (MealID int, Name varchar(50), Type varchar(20), Calories int); INSERT INTO Meals (MealID, Name, Type, Calories) VALUE... | What is the average calorie count for organic meals served in restaurants located in California? | SELECT AVG(Meals.Calories) FROM Meals INNER JOIN Restaurants ON Meals.Name = Restaurants.Name WHERE Restaurants.Location = 'California' AND Meals.Type = 'Organic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Airports (id INT, name TEXT, state TEXT, passengers INT); INSERT INTO Airports (id, name, state, passengers) VALUES (1, 'Miami International Airport', 'Florida', 22000000); INSERT INTO Airports (id, name, state, passengers) VALUES (2, 'Orlando International Airport', 'Florida', 4400000); | How many airports are there in the state of Florida that have more than 10,000 passengers per year? | SELECT COUNT(*) FROM Airports WHERE state = 'Florida' AND passengers > 10000 | gretelai_synthetic_text_to_sql |
CREATE TABLE Species (id INT PRIMARY KEY, name VARCHAR(50), type VARCHAR(50)); INSERT INTO Species (id, name, type) VALUES (1, 'Tuna', 'Fish'); INSERT INTO Species (id, name, type) VALUES (2, 'Krill', 'Crustacean'); CREATE TABLE Observations (id INT PRIMARY KEY, species_id INT, location VARCHAR(50), weight REAL); INS... | Delete records of species with a weight greater than 10 in the Arctic Ocean. | DELETE O FROM Observations O JOIN Species S ON O.species_id = S.id WHERE S.name = 'Tuna' AND O.location = 'Arctic Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_sites (site_id INT, site_name VARCHAR(50), state VARCHAR(20)); | Insert a new mining site named 'Site X' located in 'Nevada' into the 'mining_sites' table. | INSERT INTO mining_sites (site_name, state) VALUES ('Site X', 'Nevada'); | gretelai_synthetic_text_to_sql |
CREATE TABLE wind_projects (project_id INT, project_name TEXT, country TEXT, capacity_mw FLOAT); INSERT INTO wind_projects (project_id, project_name, country, capacity_mw) VALUES (1, 'Wind Farm 1', 'USA', 50.0), (2, 'Wind Farm 2', 'Canada', 100.0), (3, 'Wind Farm 3', 'Mexico', 75.0); | What is the total installed capacity (in MW) of wind power projects in each country? | SELECT country, SUM(capacity_mw) FROM wind_projects GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Users (UserID INT, UserName TEXT, Country TEXT, Playtime INT); INSERT INTO Users (UserID, UserName, Country, Playtime) VALUES (1, 'Ravi', 'India', 200), (2, 'Priya', 'USA', 300), (3, 'Krishna', 'India', 250); | What is the average playtime per user for players from India? | SELECT AVG(Playtime) FROM Users WHERE Country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE storage_facilities (id INT, facility_name TEXT, state TEXT); INSERT INTO storage_facilities (id, facility_name, state) VALUES (1, 'Facility A', 'Texas'), (2, 'Facility B', 'California'); | Insert new records of chemical storage facilities in California. | INSERT INTO storage_facilities (id, facility_name, state) VALUES (3, 'Facility C', 'California'), (4, 'Facility D', 'California'); | gretelai_synthetic_text_to_sql |
CREATE TABLE ohio_water_usage (id INT, building_type VARCHAR(20), water_consumption FLOAT, month VARCHAR(10)); INSERT INTO ohio_water_usage (id, building_type, water_consumption, month) VALUES (1, 'Agricultural', 40000, 'January'), (2, 'Agricultural', 50000, 'February'); | What is the total water consumption for agricultural buildings in Ohio for each month? | SELECT month, SUM(water_consumption) FROM ohio_water_usage WHERE building_type = 'Agricultural' GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sales(salesperson VARCHAR(20), region VARCHAR(20), product VARCHAR(20), quantity INT); INSERT INTO Sales(salesperson, region, product, quantity) VALUES('John', 'West', 'Fair Trade Coffee', 50), ('Jane', 'East', 'Fair Trade Coffee', 75), ('John', 'East', 'Bananas', 30); | What is the total quantity of "Fair Trade Coffee" sold by each salesperson in the "West" region? | SELECT salesperson, SUM(quantity) as total_quantity FROM Sales WHERE product = 'Fair Trade Coffee' AND region = 'West' GROUP BY salesperson; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, industry TEXT, founding_date DATE, founder_gender TEXT); INSERT INTO companies (id, name, industry, founding_date, founder_gender) VALUES (1, 'StyleHub', 'Fashion', '2014-07-22', 'Female'); INSERT INTO companies (id, name, industry, founding_date, founder_gender) VALUES (2, 'T... | What is the number of companies founded by women in the fashion industry? | SELECT COUNT(*) FROM companies WHERE industry = 'Fashion' AND founder_gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE artifacts (id INT PRIMARY KEY, site_id INT, artifact_id INT, description TEXT); | Insert new artifact record for site 456 | INSERT INTO artifacts (id, site_id, artifact_id, description) VALUES (1, 456, 789, 'Bronze spearhead with intricate engravings'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mine (mine_id INT, mine_name TEXT, location TEXT, environmental_impact_score DECIMAL(5,2)); INSERT INTO mine VALUES (1, 'ABC Mine', 'Wyoming, USA', 45.67), (2, 'DEF Mine', 'West Virginia, USA', 33.45), (3, 'GHI Mine', 'Kentucky, USA', 47.89), (4, 'JKL Mine', 'Colorado, USA', 31.24); | List the top 3 mines with the highest environmental impact score, ordered by the score in descending order. | SELECT mine_name, environmental_impact_score FROM (SELECT mine_name, environmental_impact_score, ROW_NUMBER() OVER (ORDER BY environmental_impact_score DESC) as rank FROM mine) AS ranked_mines WHERE rank <= 3 ORDER BY environmental_impact_score DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_ethics (tool_name VARCHAR(255), country VARCHAR(255), date DATE, impact_score INT); INSERT INTO ai_ethics (tool_name, country, date, impact_score) VALUES ('DeepRed', 'USA', '2022-01-01', 7), ('GreenAI', 'Canada', '2022-02-01', 8), ('FairAI', 'Mexico', '2022-03-01', 9); | Delete records in the "ai_ethics" table where the "tool_name" is 'DeepRed' and the "country" is 'USA' | DELETE FROM ai_ethics WHERE tool_name = 'DeepRed' AND country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mine_workers (worker_id INT, mine_id INT); INSERT INTO mine_workers (worker_id, mine_id) VALUES (1, 1), (2, 1), (3, 2), (4, 3); CREATE TABLE mine_roles (role_id INT, role VARCHAR(20)); INSERT INTO mine_roles (role_id, role) VALUES (1, 'Miner'), (2, 'Engineer'), (3, 'Manager'), (4, 'Administrator'); | Count the number of workers in each mine and their roles in the "mine_workers" and "mine_roles" tables | SELECT mw.mine_id, mr.role, COUNT(mw.worker_id) as worker_count FROM mine_workers mw JOIN mine_roles mr ON mw.mine_id = mr.role_id GROUP BY mw.mine_id, mr.role; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name VARCHAR(100), country VARCHAR(50), donation_amount DECIMAL(10,2), donation_date DATE); INSERT INTO donors (id, name, country, donation_amount, donation_date) VALUES (1, 'John Doe', 'Canada', 50.00, '2020-01-01'); INSERT INTO donors (id, name, country, donation_amount, donation_date) VA... | What is the total amount donated by individual donors based in Canada in the year 2020? | SELECT SUM(donation_amount) FROM donors WHERE country = 'Canada' AND YEAR(donation_date) = 2020 AND donors.id NOT IN (SELECT donor_id FROM corporations); | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkers (WorkerID INT, Age INT, Region VARCHAR(2)); INSERT INTO CommunityHealthWorkers (WorkerID, Age, Region) VALUES (1, 35, 'NY'), (2, 40, 'CA'), (3, 45, 'NY'), (4, 50, 'IL'), (5, 55, 'IL'); | Delete the record of the oldest community health worker in the 'IL' region. | DELETE FROM CommunityHealthWorkers WHERE WorkerID = (SELECT WorkerID FROM (SELECT WorkerID, ROW_NUMBER() OVER (PARTITION BY Region ORDER BY Age DESC) rn FROM CommunityHealthWorkers) t WHERE t.rn = 1 AND t.Region = 'IL'); | gretelai_synthetic_text_to_sql |
CREATE TABLE accommodations (id INT, student_id INT, type TEXT, cost INT, date DATE); INSERT INTO accommodations (id, student_id, type, cost, date) VALUES (1, 6, 'wheelchair', 700, '2022-04-01'); INSERT INTO accommodations (id, student_id, type, cost, date) VALUES (2, 7, 'note taker', 500, '2022-05-01'); | What is the maximum cost of accommodations provided to students with mobility impairments in the past year? | SELECT MAX(cost) FROM accommodations WHERE type = 'wheelchair' AND date >= DATE_SUB(NOW(), INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_deployment (id INT PRIMARY KEY, name VARCHAR(255), country VARCHAR(255), launch_date DATE, weight FLOAT); INSERT INTO satellite_deployment (id, name, country, launch_date, weight) VALUES (1, 'Sentinel-2A', 'European Union', '2015-06-23', 1234.5); INSERT INTO satellite_deployment (id, name, countr... | Update the 'weight' column for the satellite 'Sentinel-2A' | UPDATE satellite_deployment SET weight = 1234.5 WHERE name = 'Sentinel-2A'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_models (id INT, model_name VARCHAR(50), domain VARCHAR(50), country VARCHAR(50), fairness_score FLOAT); INSERT INTO ai_models VALUES (1, 'ModelA', 'Healthcare', 'USA', 0.82), (2, 'ModelB', 'Finance', 'USA', 0.78), (3, 'ModelC', 'Healthcare', 'Canada', 0.85); | List the algorithmic fairness scores for AI models used in healthcare in the US. | SELECT model_name, fairness_score FROM ai_models WHERE domain = 'Healthcare' AND country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE GreenBuildings (id INT, building_name VARCHAR(100), certification_level VARCHAR(50), city VARCHAR(50), state VARCHAR(50), country VARCHAR(50), carbon_offset INT); | Show the average carbon offset of buildings in 'WA' state | SELECT AVG(carbon_offset) FROM GreenBuildings WHERE state = 'WA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sports_team_c_ticket_sales (sale_id INT, sale_date DATE, quantity INT, price DECIMAL(5,2)); INSERT INTO sports_team_c_ticket_sales (sale_id, sale_date, quantity, price) VALUES (1, '2022-01-01', 100, 50.00), (2, '2022-01-02', 120, 55.00), (3, '2022-01-03', 150, 60.00); CREATE TABLE sports_team_d_ticket_sale... | Display the UNION of 'sports_team_c_ticket_sales' and 'sports_team_d_ticket_sales' tables | SELECT * FROM sports_team_c_ticket_sales UNION SELECT * FROM sports_team_d_ticket_sales; | gretelai_synthetic_text_to_sql |
CREATE TABLE animal_population (year INT, animal_name VARCHAR(255), population INT); INSERT INTO animal_population (year, animal_name, population) VALUES (2019, 'Tiger', 200), (2020, 'Tiger', 220), (2021, 'Tiger', 240), (2019, 'Elephant', 300), (2020, 'Elephant', 320), (2021, 'Elephant', 340), (2019, 'Crane', 150), (20... | Identify animal populations with increasing trends over the last 3 years | SELECT animal_name, population, LAG(population) OVER (PARTITION BY animal_name ORDER BY year) as previous_population FROM animal_population WHERE year > 2019 AND population > previous_population; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales_data (drug VARCHAR(50), region VARCHAR(50), quarter INT, year INT, revenue FLOAT); INSERT INTO sales_data (drug, region, quarter, year, revenue) VALUES ('DrugE', 'Canada', 3, 2021, 4000000); | What was the total sales revenue for 'DrugE' in the 'Canada' region in Q3 2021? | SELECT SUM(revenue) FROM sales_data WHERE drug = 'DrugE' AND region = 'Canada' AND quarter = 3 AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE ConstructionLabor (id INT, city VARCHAR(20), year INT, num_workers INT); INSERT INTO ConstructionLabor (id, city, year, num_workers) VALUES (1, 'Chicago', 2020, 5000), (2, 'Chicago', 2019, 4500), (3, 'Houston', 2020, 6000); | How many construction workers were employed in the city of Chicago in 2020? | SELECT num_workers FROM ConstructionLabor WHERE city = 'Chicago' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (name VARCHAR(255), city VARCHAR(255), date DATE); INSERT INTO Exhibitions (name, city, date) VALUES ('Modern Art', 'New York', '2023-03-01'), ('Contemporary Art', 'Los Angeles', '2023-04-01'); | Insert a new record of an art exhibition. | INSERT INTO Exhibitions (name, city, date) VALUES ('Classic Art', 'Chicago', '2023-02-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_contracts (contract_id INT, company_name VARCHAR(100), contract_value DECIMAL(10, 2), contract_date DATE); | Find the number of defense contracts awarded per quarter in the 'defense_contracts' table | SELECT EXTRACT(QUARTER FROM contract_date) as quarter, COUNT(*) as num_contracts FROM defense_contracts GROUP BY quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE Members (MemberID INT, MemberName VARCHAR(50), JoinDate DATETIME); | Insert new records for 2 members who joined in February 2022 with no workouts yet into the 'Workouts' table | INSERT INTO Workouts (WorkoutID, MemberID, Duration, MembershipType) SELECT NULL, m.MemberID, 0, 'Standard' FROM (SELECT MemberID FROM Members WHERE MONTH(JoinDate) = 2 AND YEAR(JoinDate) = 2022 LIMIT 2) m WHERE NOT EXISTS (SELECT 1 FROM Workouts w WHERE w.MemberID = m.MemberID); | gretelai_synthetic_text_to_sql |
CREATE TABLE flights (id INT, airline VARCHAR(255), safety_issue BOOLEAN); INSERT INTO flights (id, airline, safety_issue) VALUES (1, 'GalacticAirlines', true), (2, 'GalacticAirlines', false), (3, 'AstroFlights', true), (4, 'GalacticAirlines', false), (5, 'AstroFlights', false); | What is the percentage of flights operated by 'GalacticAirlines' with safety issues? | SELECT 100.0 * COUNT(*) FILTER (WHERE safety_issue = true) / COUNT(*) as percentage FROM flights WHERE airline = 'GalacticAirlines'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customer_transactions (transaction_id INT, customer_id INT, transaction_value DECIMAL(10,2)); INSERT INTO customer_transactions (transaction_id, customer_id, transaction_value) VALUES (1, 1, 100.00), (2, 2, 200.50), (3, 3, 75.00); | What is the minimum transaction value for customers in Texas? | SELECT MIN(transaction_value) FROM customer_transactions WHERE customer_id IN (SELECT customer_id FROM customers WHERE state = 'TX'); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species_status (id INT, species_name VARCHAR(255), conservation_status VARCHAR(255), ocean VARCHAR(255)); INSERT INTO marine_species_status (id, species_name, conservation_status, ocean) VALUES (1, 'Killer Whale', 'Endangered', 'Pacific Ocean'), (2, 'Killer Whale', 'Endangered', 'Atlantic Ocean'); C... | Find the number of marine species in each ocean, excluding the Southern Ocean, and the total number of marine species in the oceanography table. | SELECT ocean, COUNT(*) FROM marine_species_status WHERE ocean NOT IN ('Southern Ocean') GROUP BY ocean UNION ALL SELECT 'Total', COUNT(*) FROM marine_species_status; | gretelai_synthetic_text_to_sql |
CREATE TABLE Aircrafts (aircraft_id INT, model VARCHAR(50), top_speed FLOAT, production_year INT); INSERT INTO Aircrafts (aircraft_id, model, top_speed, production_year) VALUES (1, 'B747', 913.0, 1968), (2, 'A320', 845.0, 1987); | What is the average speed of all airplanes in the Aircrafts table? | SELECT AVG(top_speed) AS avg_speed FROM Aircrafts; | gretelai_synthetic_text_to_sql |
CREATE TABLE tour_guides (guide_id INT, guide_name VARCHAR(50), language VARCHAR(20), years_of_experience INT, PRIMARY KEY (guide_id)); | Insert a new record into the "tour_guides" table with the following information: guide_id = 301, guide_name = 'Alexander', language = 'English', years_of_experience = 10 | INSERT INTO tour_guides (guide_id, guide_name, language, years_of_experience) VALUES (301, 'Alexander', 'English', 10); | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (id INT, name TEXT, city TEXT); INSERT INTO attorneys (id, name, city) VALUES (1, 'Paul Lewiston', 'Boston'); CREATE TABLE cases (id INT, attorney_id INT, result TEXT); INSERT INTO cases (id, attorney_id, result) VALUES (1, 1, 'won'), (2, 1, 'won'), (3, 1, 'lost'); | Determine the number of cases and the winning percentage for attorneys in Boston. | SELECT attorneys.city, COUNT(cases.id) AS total_cases, 100.0 * SUM(CASE WHEN cases.result = 'won' THEN 1 ELSE 0 END) / COUNT(cases.id) AS win_percentage FROM attorneys INNER JOIN cases ON attorneys.id = cases.attorney_id WHERE attorneys.city = 'Boston' GROUP BY attorneys.city; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (id INT, region VARCHAR(255), year INT, recycling_rate DECIMAL(5,4)); INSERT INTO recycling_rates (id, region, year, recycling_rate) VALUES (1, 'Asia', 2020, 0.35), (2, 'Europe', 2020, 0.45), (3, 'Africa', 2020, 0.25); | Find the recycling rate for the top 3 regions with the highest waste generation in 2020. | SELECT region, recycling_rate FROM (SELECT region, recycling_rate, ROW_NUMBER() OVER (ORDER BY recycling_rate DESC) AS rn FROM recycling_rates WHERE year = 2020) t WHERE rn <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species_research (id INT, species TEXT, location TEXT, year INT); INSERT INTO marine_species_research (id, species, location, year) VALUES (1, 'Whale Shark', 'Indian Ocean', 2010), (2, 'Dolphin', 'Atlantic Ocean', 2005), (3, 'Turtle', 'Indian Ocean', 2018); | How many marine species have been researched in the Indian Ocean? | SELECT COUNT(*) FROM marine_species_research WHERE location = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT); INSERT INTO Donors (DonorID, DonorName) VALUES (1, 'Climate Action Now'); CREATE TABLE Programs (ProgramID INT, Program TEXT); INSERT INTO Programs (ProgramID, Program) VALUES (1, 'Climate Change'); CREATE TABLE Contributions (ContributionID INT, DonorID INT, ProgramID... | Insert a new record for a donation of 1500 by 'Climate Action Now' on 'Climate Change' program | INSERT INTO Contributions (ContributionID, DonorID, ProgramID, Amount) VALUES (1, 1, 1, 1500); | gretelai_synthetic_text_to_sql |
CREATE TABLE Clients (ClientID INT, ClientName VARCHAR(100), Region VARCHAR(50), FinanciallyCapable BOOLEAN, LastLoanDate DATE); INSERT INTO Clients (ClientID, ClientName, Region, FinanciallyCapable, LastLoanDate) VALUES (1, 'AB Johnson', 'Europe', FALSE, '2020-02-01'), (2, 'CD Smith', 'Europe', TRUE, '2021-05-15'); | Delete records of financially incapable clients from the European region who have not taken any loans in the past year. | DELETE FROM Clients WHERE FinanciallyCapable = FALSE AND Region = 'Europe' AND LastLoanDate < DATE_SUB(CURDATE(), INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE heavy_machinery (id INT, make VARCHAR(50), model VARCHAR(50), year INT, owned BOOLEAN); | What is the total number of heavy machinery units owned by the company? | SELECT COUNT(*) FROM heavy_machinery WHERE owned = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE RecyclingRatesAsia (country VARCHAR(50), year INT, recycling_rate DECIMAL(5,2)); INSERT INTO RecyclingRatesAsia (country, year, recycling_rate) VALUES ('China', 2020, 0.42), ('India', 2020, 0.38), ('Indonesia', 2020, 0.35), ('Japan', 2020, 0.60), ('South Korea', 2020, 0.63); | What are the recycling rates in Asia for the year 2020, grouped by country? | SELECT country, AVG(recycling_rate) FROM RecyclingRatesAsia WHERE year = 2020 GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE legal_aid_clinics (clinic_id INT, state VARCHAR(2)); | What is the number of legal aid clinics in each state? | SELECT state, COUNT(*) FROM legal_aid_clinics GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpacecraftManufacturing (id INT, year INT, cost FLOAT, country TEXT); | What is the distribution of spacecraft manufacturing costs by country? | SELECT country, AVG(cost) as avg_cost, STDDEV(cost) as stddev_cost FROM SpacecraftManufacturing GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE CO2Emissions (id INT, fabric VARCHAR(50), emission DECIMAL); INSERT INTO CO2Emissions (id, fabric, emission) VALUES (1, 'Organic Cotton', 4.5), (2, 'Recycled Polyester', 7.0), (3, 'Hemp', 2.0), (4, 'Tencel', 3.5); | What is the average CO2 emission for each type of fabric? | SELECT fabric, AVG(emission) FROM CO2Emissions GROUP BY fabric; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (donor_id INT, donation_amount DECIMAL(10,2), donation_date DATE); INSERT INTO Donations (donor_id, donation_amount, donation_date) VALUES (1, 50.00, '2022-01-05'), (2, 100.00, '2022-03-15'), (3, 200.00, '2022-01-10'); | What was the total donation amount from first-time donors in Q1 2022? | SELECT SUM(donation_amount) FROM Donations WHERE donor_id IN (SELECT donor_id FROM Donations GROUP BY donor_id HAVING COUNT(*) = 1) AND donation_date BETWEEN '2022-01-01' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE exhibitions (exhibition_id INT PRIMARY KEY, exhibition_name VARCHAR(255), city VARCHAR(255)); | Count the number of exhibitions in each city | SELECT city, COUNT(exhibition_id) as num_exhibitions FROM exhibitions GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE customer_activity (customer_id INT, activity_date DATE); INSERT INTO customer_activity (customer_id, activity_date) VALUES (1, '2022-01-01'), (1, '2022-02-01'), (2, '2022-03-01'), (3, '2022-04-01'); | Identify customers who have made purchases in the last 30 days | SELECT * FROM customer_activity WHERE activity_date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY); | gretelai_synthetic_text_to_sql |
CREATE TABLE Cities (CityID INT, CityName VARCHAR(50), Population INT, LandfillID INT); INSERT INTO Cities VALUES (1, 'CityA', 600000, 1), (2, 'CityB', 800000, 2), (3, 'CityC', 550000, 3); CREATE TABLE Landfills (LandfillID INT, LandfillName VARCHAR(50), Capacity FLOAT); INSERT INTO Landfills VALUES (1, 'Landfill1', 20... | What is the capacity of landfills that serve cities with a population above 500,000? | SELECT LandfillName, Capacity FROM Landfills WHERE LandfillID IN (SELECT Cities.LandfillID FROM Cities WHERE Population > 500000); | gretelai_synthetic_text_to_sql |
CREATE TABLE legal_aid_quebec (court_location VARCHAR(50), date DATE); INSERT INTO legal_aid_quebec VALUES ('Montreal', '2022-02-01'), ('Quebec City', '2021-06-15'), ('Sherbrooke', '2020-09-03'); CREATE TABLE legal_aid_nova_scotia (court_location VARCHAR(50), date DATE); INSERT INTO legal_aid_nova_scotia VALUES ('Halif... | List the unique court locations where legal aid was provided in Quebec and Nova Scotia in the last 5 years. | SELECT DISTINCT court_location FROM legal_aid_quebec WHERE date >= DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR) UNION ALL SELECT DISTINCT court_location FROM legal_aid_nova_scotia WHERE date >= DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR); | gretelai_synthetic_text_to_sql |
CREATE VIEW FarmersMarket AS SELECT * FROM Products WHERE is_organic = TRUE; INSERT INTO Products (id, name, is_organic) VALUES (1, 'Product1', TRUE), (2, 'Product2', FALSE), (3, 'Product3', TRUE); | Insert new product 'Eco-friendly Product4' with is_organic = TRUE in 'FarmersMarket' view | INSERT INTO Products (id, name, is_organic) VALUES ((SELECT COALESCE(MAX(id), 0) + 1 FROM Products), 'Eco-friendly Product4', TRUE); INSERT INTO FarmersMarket SELECT * FROM Products WHERE is_organic = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (factory_id INT, name TEXT, location TEXT, practices TEXT); CREATE TABLE workforce_development (factory_id INT, program TEXT); | Display the factory IDs, names, and locations of factories with ethical labor practices and workforce development programs. | SELECT factories.factory_id, factories.name, factories.location FROM factories INNER JOIN workforce_development ON factories.factory_id = workforce_development.factory_id WHERE factories.practices = 'ethical' AND workforce_development.program IS NOT NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, age INT, gender VARCHAR(20), condition VARCHAR(50), therapy_date DATE); INSERT INTO patients (id, age, gender, condition, therapy_date) VALUES (1, 35, 'Female', 'Depression', '2020-02-01'); INSERT INTO patients (id, age, gender, condition, therapy_date) VALUES (2, 45, 'Male', 'Anxiety... | What is the average age of patients who received therapy in 2020? | SELECT AVG(age) FROM patients WHERE YEAR(therapy_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE NuclearCapabilities (ID INT, Country VARCHAR(50), Capable BOOLEAN); | Which countries have nuclear weapons capabilities? | SELECT Country FROM NuclearCapabilities WHERE Capable = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (article_id INT, article_title VARCHAR(100), article_text TEXT, topic VARCHAR(50)); INSERT INTO articles VALUES (1, 'Article 1', 'Climate change is...', 'climate change'), (2, 'Article 2', 'Global warming is...', 'climate change'), (3, 'Article 3', 'The environment is...', 'environment'); | What is the average word count for articles related to climate change? | SELECT AVG(LENGTH(article_text) - LENGTH(REPLACE(article_text, ' ', '')) + 1) as avg_word_count FROM articles WHERE topic = 'climate change'; | gretelai_synthetic_text_to_sql |
CREATE TABLE company_info (company_name VARCHAR(255)); INSERT INTO company_info (company_name) VALUES ('Acme Inc'), ('Beta Corp'), ('Charlie LLC'), ('Delta Co'); CREATE TABLE funding (company_name VARCHAR(255), funding_amount INT); INSERT INTO funding (company_name, funding_amount) VALUES ('Acme Inc', 500000), ('Beta C... | Identify companies that have not received any funding | SELECT company_name FROM company_info WHERE company_name NOT IN (SELECT company_name FROM funding); | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_costs (id INT, cost FLOAT, state TEXT, hourly BOOLEAN); INSERT INTO labor_costs (id, cost, state, hourly) VALUES (1, 30.00, 'Texas', true), (2, 500.00, 'New York', false); | What is the median construction labor cost per hour in 'Texas'? | SELECT AVG(cost) FROM labor_costs WHERE state = 'Texas' AND hourly = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu (menu_id INT, item_name VARCHAR(50), is_vegetarian BOOLEAN, price DECIMAL(5,2)); INSERT INTO menu VALUES (1, 'Quinoa Salad', true, 12.99), (2, 'Cheeseburger', false, 7.99), (3, 'Falafel Wrap', true, 9.99); CREATE TABLE orders (order_id INT, menu_id INT, order_date DATE); INSERT INTO orders VALUES (1, ... | What are the top 3 most ordered vegetarian dishes? | SELECT item_name, COUNT(*) as order_count FROM menu INNER JOIN orders ON menu.menu_id = orders.menu_id WHERE is_vegetarian = true GROUP BY item_name ORDER BY order_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE otas (ota_id INT, ota_name TEXT, region TEXT); CREATE TABLE virtual_tours (vt_id INT, ota_id INT, engagements INT); INSERT INTO otas (ota_id, ota_name, region) VALUES (1, 'OTA 1', 'South America'), (2, 'OTA 2', 'Europe'), (3, 'OTA 3', 'Asia'); INSERT INTO virtual_tours (vt_id, ota_id, engagements) VALUES (... | What is the total number of virtual tour engagements in South America? | SELECT SUM(engagements) FROM virtual_tours JOIN otas ON virtual_tours.ota_id = otas.ota_id WHERE region = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE employment_data (state VARCHAR(255), employed INT, unemployed INT, total_population INT); INSERT INTO employment_data (state, employed, unemployed, total_population) VALUES ('Illinois', 5900000, 600000, 12900000); | What is the percentage of the population in 'Illinois' that is unemployed? | SELECT (unemployed * 100.0 / total_population) AS percentage FROM employment_data WHERE state = 'Illinois'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_bookings (hotel_id INT, hotel_name TEXT, country TEXT, rating FLOAT, online_bookings INT); INSERT INTO hotel_bookings (hotel_id, hotel_name, country, rating, online_bookings) VALUES (1, 'The Grand Palace', 'France', 4.7, 800), (2, 'The Majestic Hotel', 'Germany', 4.5, 700), (3, 'The Royal Resort', 'I... | What is the distribution of online bookings for hotels in Europe with a rating of 4.5 or higher? | SELECT country, COUNT(hotel_id) AS total_hotels, AVG(online_bookings) AS avg_online_bookings, STDDEV(online_bookings) AS stddev_online_bookings FROM hotel_bookings WHERE country = 'Europe' AND rating >= 4.5 GROUP BY country | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (id INT, name VARCHAR(50), type VARCHAR(20)); INSERT INTO Restaurants (id, name, type) VALUES (1, 'Green Garden', 'Vegan'); INSERT INTO Restaurants (id, name, type) VALUES (2, 'Bistro Bella', 'Italian'); INSERT INTO Restaurants (id, name, type) VALUES (3, 'Taqueria Tina', 'Mexican'); INSERT INT... | What is the average price of vegetarian dishes in Mexican restaurants? | SELECT AVG(price) FROM Menu WHERE vegetarian = true AND restaurant_id IN (SELECT id FROM Restaurants WHERE type LIKE '%Mexican%'); | gretelai_synthetic_text_to_sql |
CREATE TABLE health_facilities (facility_id INT, name VARCHAR(50), type VARCHAR(50), population INT, city VARCHAR(50), state VARCHAR(50)); | What is the total population of clinics in 'New York' in the 'health_facilities' table? | SELECT SUM(population) FROM health_facilities WHERE type = 'clinic' AND state = 'New York'; | gretelai_synthetic_text_to_sql |
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