context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE mitigation_projects (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), description TEXT, start_date DATE, end_date DATE, budget FLOAT); INSERT INTO mitigation_projects (id, name, location, description, start_date, end_date, budget) VALUES (1, 'Solar Farm Installation', 'California', 'Installati... | What is the total budget spent on climate mitigation projects in '2019' from the 'mitigation_projects' table? | SELECT SUM(budget) FROM mitigation_projects WHERE start_date <= '2019-12-31' AND end_date >= '2019-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (id INT, product_name VARCHAR(50), category VARCHAR(50), is_organic BOOLEAN, price DECIMAL(5,2)); INSERT INTO products (id, product_name, category, is_organic, price) VALUES (1, 'Shampoo', 'Hair Care', true, 12.99), (2, 'Conditioner', 'Hair Care', false, 14.50), (3, 'Styling Gel', 'Hair Care', fal... | What is the total revenue generated from organic hair care products in Canada in H1 of 2022? | SELECT SUM(price * quantity) FROM products JOIN sales ON products.id = sales.product_id WHERE products.category = 'Hair Care' AND products.is_organic = true AND sales.country = 'Canada' AND sales.sale_date BETWEEN '2022-01-01' AND '2022-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE bioprocess_engineering (id INT, project_name VARCHAR(100), lead_engineer VARCHAR(100), duration INT); | What is the average bioprocess engineering project duration for projects led by Dr. Patel? | SELECT AVG(duration) FROM bioprocess_engineering WHERE lead_engineer = 'Dr. Patel'; | gretelai_synthetic_text_to_sql |
CREATE TABLE digital_assets (asset_id varchar(10), asset_name varchar(10)); INSERT INTO digital_assets (asset_id, asset_name) VALUES ('ETH', 'Ethereum'), ('BTC', 'Bitcoin'); CREATE TABLE transactions (transaction_id serial, asset_id varchar(10), transaction_amount numeric); INSERT INTO transactions (asset_id, transacti... | What is the maximum transaction amount for 'BTC'? | SELECT MAX(transaction_amount) FROM transactions WHERE asset_id = 'BTC'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CityData (City VARCHAR(20), HeritageSites INT, CommunityEvents INT); INSERT INTO CityData VALUES ('Seattle', 1, 2), ('Portland', 0, 1); CREATE VIEW HeritageSiteCount AS SELECT City, COUNT(*) AS HeritageSites FROM HeritageSites GROUP BY City; CREATE VIEW CommunityEventCount AS SELECT City, COUNT(*) AS Commu... | Present the number of heritage sites and community engagement events in each city. | SELECT d.City, h.HeritageSites, e.CommunityEvents FROM CityData d JOIN HeritageSiteCount h ON d.City = h.City JOIN CommunityEventCount e ON d.City = e.City; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, product_id INT, quantity INT, price DECIMAL(5,2), sale_date DATE); CREATE TABLE products (product_id INT, material VARCHAR(20), market VARCHAR(20)); INSERT INTO sales (sale_id, product_id, quantity, price, sale_date) VALUES (1, 1, 10, 25.00, '2022-01-01'), (2, 2, 5, 10.00, '2022-01-05')... | What is the average quantity of products sold in the European market per month? | SELECT AVG(quantity) FROM sales JOIN products ON sales.product_id = products.product_id WHERE products.market = 'Europe' GROUP BY EXTRACT(MONTH FROM sale_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE clinics (clinic_id INT, clinic_name VARCHAR(50), city VARCHAR(50), state VARCHAR(50)); INSERT INTO clinics (clinic_id, clinic_name, city, state) VALUES (1, 'ClinicE', 'Miami', 'FL'), (2, 'ClinicF', 'Tampa', 'FL'); CREATE TABLE patients (patient_id INT, patient_name VARCHAR(50), age INT, clinic_id INT, cond... | What is the average age of patients with bipolar disorder who have not received any therapy in mental health clinics located in Florida? | SELECT AVG(age) FROM patients p JOIN clinics c ON p.clinic_id = c.clinic_id LEFT JOIN therapies t ON p.patient_id = t.patient_id JOIN conditions cond ON p.condition_id = cond.condition_id WHERE c.state = 'FL' AND cond.condition_name = 'Bipolar Disorder' AND t.therapy_id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE ingredient_sourcing (ingredient_id INT, ingredient_name VARCHAR(100), sourcing_country VARCHAR(50), is_organic BOOLEAN); INSERT INTO ingredient_sourcing (ingredient_id, ingredient_name, sourcing_country, is_organic) VALUES (1, 'Rosehip Oil', 'Chile', TRUE), (2, 'Shea Butter', 'Ghana', TRUE), (3, 'Jojoba Oi... | Display ingredient sourcing information for all organic ingredients. | SELECT * FROM ingredient_sourcing WHERE is_organic = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE reverse_logistics (id INT, shipping_method VARCHAR(20), quantity INT); INSERT INTO reverse_logistics (id, shipping_method, quantity) VALUES (1, 'Return Shipping', 50), (2, 'Exchange Shipping', 30), (3, 'Repair Shipping', 40), (4, 'Return Shipping', 60), (5, 'Exchange Shipping', 20); | List all unique shipping methods used in the reverse logistics process, along with the number of times each method was used. | SELECT shipping_method, COUNT(*) FROM reverse_logistics GROUP BY shipping_method; | gretelai_synthetic_text_to_sql |
CREATE TABLE MentalHealth (StudentID int, Date date, MentalHealthScore int); | Delete a mental health record from the 'MentalHealth' table | DELETE FROM MentalHealth WHERE StudentID = 1234 AND Date = '2022-09-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wastewater_treatment (state_name TEXT, efficiency FLOAT); INSERT INTO wastewater_treatment (state_name, efficiency) VALUES ('California', 0.85), ('Texas', 0.83), ('Florida', 0.88), ('New York', 0.82), ('Pennsylvania', 0.87); | What is the rank of each state in terms of wastewater treatment efficiency? | SELECT state_name, RANK() OVER (ORDER BY efficiency DESC) AS rank FROM wastewater_treatment; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles_by_day (day DATE, category TEXT, article_count INT); INSERT INTO articles_by_day (day, category, article_count) VALUES ('2022-01-01', 'Entertainment', 3), ('2022-01-02', 'Sports', 2), ('2022-01-01', 'Entertainment', 1); | What is the number of articles published per day in the 'Entertainment' category? | SELECT day, category, SUM(article_count) as total FROM articles_by_day WHERE category = 'Entertainment' GROUP BY day; | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT, product VARCHAR(50), severity INT, last_patch DATE); | What is the average severity of vulnerabilities for each software product in the last month? | SELECT product, AVG(severity) as avg_severity FROM vulnerabilities WHERE last_patch < DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY product; | gretelai_synthetic_text_to_sql |
CREATE TABLE incidents (incident_id INT, detected_at TIMESTAMP, responded_at TIMESTAMP); | What is the average time to detect and respond to security incidents? | AVG(TIMESTAMPDIFF(MINUTE, detected_at, responded_at)) as avg_time_to_respond | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (id INT, mine VARCHAR(50), region VARCHAR(50), resource VARCHAR(50), quantity INT); INSERT INTO regions (id, mine, region, resource, quantity) VALUES (1, 'Mine A', 'West', 'Coal', 1000), (2, 'Mine B', 'East', 'Iron Ore', 2000), (3, 'Mine A', 'West', 'Iron Ore', 1500); | What is the total amount of resources produced by each region? | SELECT region, resource, SUM(quantity) AS total_quantity FROM regions GROUP BY region, resource; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (production_id INT, well_id INT, production_date DATE, production_type TEXT, country TEXT); INSERT INTO production (production_id, well_id, production_date, production_type, country) VALUES (1, 1, '2018-01-01', 'Oil', 'USA'), (2, 1, '2018-01-02', 'Gas', 'Norway'), (3, 2, '2019-05-03', 'Oil', 'Ca... | Find the total production volume for each year, for the 'Oil' production type, for wells located in 'Canada'. | SELECT EXTRACT(YEAR FROM production_date) as year, SUM(production_volume) as total_oil_production FROM production WHERE production_type = 'Oil' AND country = 'Canada' GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE EV_Data (Id INT, City VARCHAR(50), Type VARCHAR(50), Speed INT, Month VARCHAR(10)); INSERT INTO EV_Data (Id, City, Type, Speed, Month) VALUES (1, 'NewYork', 'Electric', 60, 'August'); INSERT INTO EV_Data (Id, City, Type, Speed, Month) VALUES (2, 'SanFrancisco', 'Hybrid', 55, 'August'); | What is the average speed of electric vehicles in the city of New York in the month of August? | SELECT AVG(Speed) FROM EV_Data WHERE City = 'NewYork' AND Month = 'August' AND Type = 'Electric'; | gretelai_synthetic_text_to_sql |
CREATE VIEW equipment_summary AS SELECT equipment.name AS equipment_name, sales.region, SUM(sales.quantity * equipment.price) AS total_sales FROM equipment INNER JOIN sales ON equipment.id = sales.equipment_id GROUP BY equipment.name, sales.region; | Create a view named 'equipment_summary' with columns 'equipment_name', 'region', 'total_sales' | CREATE VIEW equipment_summary AS SELECT equipment.name AS equipment_name, sales.region, SUM(sales.quantity * equipment.price) AS total_sales FROM equipment INNER JOIN sales ON equipment.id = sales.equipment_id GROUP BY equipment.name, sales.region; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (id INT, name TEXT, funding_source TEXT); INSERT INTO Programs (id, name, funding_source) VALUES (1, 'Dance Performance', 'Corporate'), (2, 'Film Festival', 'Foundation'), (3, 'Photography Exhibition', 'Government'); | Find the number of unique programs funded by 'Corporate' and 'Foundation' funding sources. | SELECT COUNT(DISTINCT name) FROM Programs WHERE funding_source IN ('Corporate', 'Foundation'); | gretelai_synthetic_text_to_sql |
CREATE TABLE savings (customer_id INT, name TEXT, state TEXT, savings DECIMAL(10, 2)); INSERT INTO savings (customer_id, name, state, savings) VALUES (789, 'Bob Smith', 'California', 8000.00), (111, 'Alice Johnson', 'California', 6000.00); | What is the average savings of customers living in 'California'? | SELECT AVG(savings) FROM savings WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainability (practice VARCHAR(50), country VARCHAR(50)); INSERT INTO sustainability (practice, country) VALUES ('Renewable Energy', 'France'), ('Local Sourcing', 'Italy'), ('Educational Programs', 'Spain'), ('Waste Management', 'Germany'), ('Renewable Energy', 'Japan'), ('Local Sourcing', 'Canada'); | List all sustainable tourism practices and the number of countries implementing each. | SELECT practice, COUNT(DISTINCT country) as num_countries FROM sustainability GROUP BY practice; | gretelai_synthetic_text_to_sql |
CREATE TABLE habitat (id INT, name VARCHAR(255), area_ha INT); INSERT INTO habitat (id, name, area_ha) VALUES (1, 'Habitat1', 5000), (2, 'Habitat2', 7000), (3, 'Habitat3', 6000); | What is the total area of all wildlife habitats in hectares? | SELECT SUM(area_ha) FROM habitat; | gretelai_synthetic_text_to_sql |
CREATE TABLE Army (id INT, name VARCHAR(50), rank VARCHAR(20), region VARCHAR(20), num_personnel INT); INSERT INTO Army (id, name, rank, region, num_personnel) VALUES (1, 'John Doe', 'Colonel', 'Europe', 500); | What is the total number of military personnel in the 'Army' table? | SELECT SUM(num_personnel) FROM Army; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_heritage (id INT, site VARCHAR(50), country VARCHAR(20), annual_visitors INT); INSERT INTO cultural_heritage (id, site, country, annual_visitors) VALUES (1, 'Colosseum', 'Italy', 6000), (2, 'Leaning Tower of Pisa', 'Italy', 4000), (3, 'Roman Forum', 'Italy', 5500); | How many cultural heritage sites in Italy have more than 5,000 annual visitors? | SELECT COUNT(*) FROM cultural_heritage WHERE country = 'Italy' GROUP BY country HAVING SUM(annual_visitors) > 5000; | gretelai_synthetic_text_to_sql |
CREATE TABLE ride_sharing (id INT, vehicle VARCHAR(20), city VARCHAR(20)); INSERT INTO ride_sharing (id, vehicle, city) VALUES (1, 'bike', 'San Francisco'), (2, 'e-scooter', 'San Francisco'); | What is the total number of shared bikes and e-scooters in San Francisco? | SELECT SUM(CASE WHEN vehicle IN ('bike', 'e-scooter') THEN 1 ELSE 0 END) FROM ride_sharing WHERE city = 'San Francisco'; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (company_id INT, name VARCHAR(30), recycling_program BOOLEAN, recycling_program_start_date DATE); | List all companies that have a 'recycling' program and their corresponding program start dates. | SELECT companies.name, companies.recycling_program_start_date FROM companies WHERE companies.recycling_program = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Locations (Location_ID INT, Location_Name TEXT); INSERT INTO Locations (Location_ID, Location_Name) VALUES (1, 'Location1'), (2, 'Location2'); CREATE TABLE Sustainable_Sourcing (Source_ID INT, Location_ID INT, Cost DECIMAL); INSERT INTO Sustainable_Sourcing (Source_ID, Location_ID, Cost) VALUES (1, 1, 100.... | Calculate the total sustainable sourcing cost per location. | SELECT L.Location_Name, SUM(SS.Cost) as Total_Sustainable_Cost FROM Sustainable_Sourcing SS JOIN Locations L ON SS.Location_ID = L.Location_ID GROUP BY L.Location_Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (PolicyID INT, PolicyholderName TEXT, State TEXT); INSERT INTO Policyholders (PolicyID, PolicyholderName, State) VALUES (1, 'John Smith', 'CO'), (2, 'Jane Doe', 'NY'); CREATE TABLE Claims (ClaimID INT, PolicyID INT, ClaimAmount INT); INSERT INTO Claims (ClaimID, PolicyID, ClaimAmount) VALUES ... | What is the number of policies and total claim amount for policyholders in 'CO'? | SELECT COUNT(Policyholders.PolicyID) AS NumPolicies, SUM(Claims.ClaimAmount) AS TotalClaimAmount FROM Policyholders INNER JOIN Claims ON Policyholders.PolicyID = Claims.PolicyID WHERE Policyholders.State = 'CO'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artwork (artwork_id INT, artwork_name VARCHAR(30), genre VARCHAR(20), artist_id INT); CREATE TABLE Artist (artist_id INT, artist_name VARCHAR(30)); | List all artworks in the 'Surrealism' genre, along with the name of the artist who created each artwork. | SELECT Artwork.artwork_name, Artist.artist_name FROM Artwork INNER JOIN Artist ON Artwork.artist_id = Artist.artist_id WHERE Artwork.genre = 'Surrealism'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (PolicyholderID INT, Name VARCHAR(50), Address VARCHAR(100), State VARCHAR(2)); CREATE TABLE LifeInsurance (PolicyholderID INT, PolicyType VARCHAR(50)); CREATE TABLE HealthInsurance (PolicyholderID INT, PolicyType VARCHAR(50)); | Insert new records into the Policyholders, LifeInsurance, and HealthInsurance tables for a new policyholder who lives in California. | INSERT INTO Policyholders (PolicyholderID, Name, Address, State) VALUES (5, 'Maria Garcia', '910 Olive Ave', 'CA'); INSERT INTO LifeInsurance (PolicyholderID, PolicyType) VALUES (5, 'Whole Life'); INSERT INTO HealthInsurance (PolicyholderID, PolicyType) VALUES (5, 'PPO'); | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy_projects (id INT, project_name VARCHAR(255), country VARCHAR(255), technology VARCHAR(255), start_date DATE, end_date DATE); | Number of renewable energy projects in Latin America | SELECT COUNT(*) FROM renewable_energy_projects WHERE country IN ('Brazil', 'Colombia', 'Argentina', 'Chile', 'Peru') AND technology != 'Fossil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (id INT, garment_id INT, country VARCHAR(255), material VARCHAR(255)); INSERT INTO production (id, garment_id, country, material) VALUES | How many garments are made of hemp in India? | SELECT COUNT(*) FROM production WHERE material = 'Hemp' AND country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE courts (court_id INT, court_name VARCHAR(255), PRIMARY KEY (court_id)); CREATE TABLE court_cases (court_id INT, case_id INT, PRIMARY KEY (court_id, case_id), FOREIGN KEY (court_id) REFERENCES courts(court_id), FOREIGN KEY (case_id) REFERENCES cases(case_id)); INSERT INTO courts (court_id, court_name) VALUE... | Calculate the average number of cases per court in the justice system | SELECT AVG(cc.court_id) FROM courts c INNER JOIN court_cases cc ON c.court_id = cc.court_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vendor (VendorID INT, VendorName VARCHAR(50), FarmID INT); INSERT INTO Vendor (VendorID, VendorName, FarmID) VALUES (1, 'EcoMarket', 1), (2, 'NaturalHarvest', 2), (3, 'GreenBasket', 1); CREATE TABLE Sales (VendorID INT, ItemID INT, Quantity INT); INSERT INTO Sales (VendorID, ItemID, Quantity) VALUES (1, 1,... | Vendors with the highest quantity of organic food sold | SELECT v.VendorName, SUM(s.Quantity) FROM Vendor v INNER JOIN Sales s ON v.VendorID = s.VendorID INNER JOIN OrganicFarm f ON v.FarmID = f.FarmID GROUP BY v.VendorName ORDER BY SUM(s.Quantity) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (id INT, name VARCHAR(50), size FLOAT, country VARCHAR(50)); | Update the name of the record with id 7 in the table "marine_protected_areas" to 'Coral Reefs' | UPDATE marine_protected_areas SET name = 'Coral Reefs' WHERE id = 7; | gretelai_synthetic_text_to_sql |
CREATE TABLE Biosensor (biosensor_id INT, name TEXT, year INT); INSERT INTO Biosensor (biosensor_id, name, year) VALUES (1, 'BS1', 2019), (2, 'BS2', 2021), (3, 'BS3', 2018); | Which biosensors were developed in '2021'? | SELECT name FROM Biosensor WHERE year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (donation_id INT, org_id INT, donation_amount DECIMAL(10,2)); | What is the total donation amount for each organization in the 'Donations' and 'Organizations' tables? | SELECT O.name, SUM(D.donation_amount) FROM Donations D INNER JOIN Organizations O ON D.org_id = O.org_id GROUP BY O.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE premier_league_seasons (season_id INT, season_start_date DATE, season_end_date DATE); CREATE TABLE premier_league_games (game_id INT, season_id INT, home_team VARCHAR(100), away_team VARCHAR(100), home_team_goals INT, away_team_goals INT); | What is the maximum number of goals scored by a single player in a game in each of the last five seasons in the Premier League? | SELECT s.season_start_date, MAX(g.home_team_goals) as max_goals FROM premier_league_seasons s JOIN premier_league_games g ON s.season_id = g.season_id WHERE s.season_id >= (SELECT MAX(season_id) - 5) GROUP BY s.season_start_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE whale_sanctuaries (name VARCHAR(255), location VARCHAR(255)); INSERT INTO whale_sanctuaries (name, location) VALUES ('SSS', 'North Atlantic'); | What are the names and locations of all whale sanctuaries? | SELECT name, location FROM whale_sanctuaries | gretelai_synthetic_text_to_sql |
CREATE TABLE clinical_trials (trial_name TEXT, drug_name TEXT, patient_count INT); INSERT INTO clinical_trials (trial_name, drug_name, patient_count) VALUES ('Trial-A', 'ABC-456', 200), ('Trial-B', 'DEF-789', 300); | How many patients participated in clinical trial 'Trial-A' for drug 'ABC-456'? | SELECT patient_count FROM clinical_trials WHERE trial_name = 'Trial-A' AND drug_name = 'ABC-456'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Labor_Unions (id INT, union_type VARCHAR(20), region VARCHAR(20)); INSERT INTO Labor_Unions (id, union_type, region) VALUES (1, 'Craft', 'Africa'), (2, 'Professional', 'Americas'), (3, 'Craft', 'Europe'), (4, 'Industrial', 'Asia'); | What is the total number of unions in the 'Africa' region with 'Craft' as their union type? | SELECT COUNT(*) FROM Labor_Unions WHERE union_type = 'Craft' AND region = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (id INT, name VARCHAR(255)); CREATE TABLE military_satellites (id INT, country_id INT, number INT); | What is the maximum number of military satellites owned by each country? | SELECT c.name, MAX(ms.number) as max_satellites FROM countries c JOIN military_satellites ms ON c.id = ms.country_id GROUP BY c.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE stations (station_id INT, station_name VARCHAR(50), station_type VARCHAR(20)); INSERT INTO stations (station_id, station_name, station_type) VALUES (1, 'StationA', 'Underground'), (2, 'StationB', 'Overground'), (3, 'StationC', 'Underground'); | Delete all records from the 'stations' table where the 'station_type' is 'Underground' | DELETE FROM stations WHERE station_type = 'Underground'; | gretelai_synthetic_text_to_sql |
CREATE TABLE menus (id INT, name VARCHAR(255), category VARCHAR(255), price DECIMAL(5,2)); INSERT INTO menus (id, name, category, price) VALUES (1, 'Veggie Burger', 'Vegan Dishes', 8.99), (2, 'Chickpea Curry', 'Vegan Dishes', 10.99), (3, 'Tofu Stir Fry', 'Vegan Dishes', 12.49); | What is the total revenue for the 'Vegan Dishes' category? | SELECT SUM(price) FROM menus WHERE category = 'Vegan Dishes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (id INT, name VARCHAR(100), genre VARCHAR(50), revenue FLOAT); INSERT INTO games (id, name, genre, revenue) VALUES (1, 'GameA', 'action', 5000000), (2, 'GameB', 'rpg', 7000000), (3, 'GameC', 'action', 8000000); | What is the total revenue for each game in the 'action' genre? | SELECT genre, SUM(revenue) FROM games WHERE genre = 'action' GROUP BY genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (id INT, volunteer VARCHAR(50), program VARCHAR(50), hours FLOAT, volunteer_date DATE); INSERT INTO Volunteers (id, volunteer, program, hours, volunteer_date) VALUES (1, 'Alice', 'Education', 10, '2021-01-01'); INSERT INTO Volunteers (id, volunteer, program, hours, volunteer_date) VALUES (2, 'Bo... | How many volunteers engaged in each program in Q1 2021? | SELECT program, COUNT(DISTINCT volunteer) as num_volunteers FROM Volunteers WHERE QUARTER(volunteer_date) = 1 AND YEAR(volunteer_date) = 2021 GROUP BY program; | gretelai_synthetic_text_to_sql |
CREATE TABLE worker_productivity (worker_id INT, worker_name TEXT, mineral TEXT, productivity DECIMAL); INSERT INTO worker_productivity (worker_id, worker_name, mineral, productivity) VALUES (1, 'John', 'Gold', 5.0), (2, 'Jane', 'Gold', 5.5), (3, 'Bob', 'Silver', 4.8), (4, 'Alice', 'Silver', 5.2), (5, 'Charlie', 'Coppe... | What is the average productivity of workers per mineral? | SELECT mineral, AVG(productivity) FROM worker_productivity GROUP BY mineral; | gretelai_synthetic_text_to_sql |
CREATE TABLE LaborProductivity (Country VARCHAR(255), Year INT, Sector VARCHAR(255), Productivity DECIMAL(5,2)); INSERT INTO LaborProductivity (Country, Year, Sector, Productivity) VALUES ('India', 2020, 'Mining', 40.00), ('India', 2020, 'Mining', 45.00), ('Russia', 2020, 'Mining', 55.00), ('Russia', 2020, 'Mining', 60... | What are the labor productivity metrics for mining in India and Russia in 2020? | SELECT Context.Country, Context.Productivity FROM LaborProductivity as Context WHERE Context.Year = 2020 AND Context.Sector = 'Mining' AND Context.Country IN ('India', 'Russia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Dams (DamID INT, Name VARCHAR(255), State VARCHAR(255), Company VARCHAR(255), ConstructionYear INT); INSERT INTO Dams VALUES (1, 'Dam A', 'Washington', 'DAMCON', 1985); INSERT INTO Dams VALUES (2, 'Dam B', 'Oregon', 'DAMCO', 1990); INSERT INTO Dams VALUES (3, 'Dam C', 'Washington', 'DAMS Inc.', 1995); | What are the names and locations of all dams in Washington state, along with their respective construction companies and the year they were constructed? | SELECT Name, State, Company, ConstructionYear FROM Dams WHERE State = 'Washington'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists performing_arts_attendance (id INT, name VARCHAR(255), type VARCHAR(255), attendees INT); INSERT INTO performing_arts_attendance (id, name, type, attendees) VALUES (1, 'Symphony', 'Performing Arts', 250), (2, 'Opera', 'Performing Arts', 180), (3, 'Ballet', 'Performing Arts', 320), (4, 'Theate... | Which performing arts event has the highest average attendance? | SELECT type, AVG(attendees) FROM performing_arts_attendance WHERE type = 'Performing Arts' GROUP BY type ORDER BY AVG(attendees) DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE species (name VARCHAR(255), conservation_priority FLOAT, region VARCHAR(255)); INSERT INTO species (name, conservation_priority, region) VALUES ('Krill', 0.6, 'Southern Ocean'), ('Blue Whale', 0.55, 'Southern Ocean'), ('Orca', 0.5, 'Southern Ocean'), ('Seal', 0.45, 'Southern Ocean'), ('Penguin', 0.4, 'Sout... | What is the average conservation priority of marine species in the Southern Ocean? | SELECT AVG(conservation_priority) FROM species WHERE region = 'Southern Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE DonorContributions (donor_id INT, donation_amount DECIMAL(10,2), donation_date DATE, region VARCHAR(50), donor_type VARCHAR(50)); INSERT INTO DonorContributions (donor_id, donation_amount, donation_date, region, donor_type) VALUES (25, 10000, '2022-01-01', 'Central', 'Corporate'), (26, 12000, '2022-02-01',... | What was the maximum donation amount from corporate donors in the Central region in 2022? | SELECT MAX(donation_amount) FROM DonorContributions WHERE region = 'Central' AND donation_date BETWEEN '2022-01-01' AND '2022-12-31' AND donor_type = 'Corporate'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EnvBudget (Year INT, Amount INT); INSERT INTO EnvBudget (Year, Amount) VALUES (2020, 1200000), (2021, 1300000), (2022, 1400000); | What was the total budget allocated for environmental services in 2020, 2021, and 2022? | SELECT Year, SUM(Amount) FROM EnvBudget GROUP BY Year; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, sector TEXT, ESG_rating FLOAT); INSERT INTO companies (id, name, sector, ESG_rating) VALUES (1, 'Apple', 'Technology', 8.2), (2, 'Microsoft', 'Technology', 8.5), (3, 'Google', 'Technology', 8.3), (4, 'Amazon', 'Technology', 7.9), (5, 'Facebook', 'Technology', 7.7); | What is the distribution of ESG ratings for companies in the technology sector? | SELECT sector, ESG_rating, COUNT(*) AS rating_count FROM companies GROUP BY sector, ESG_rating ORDER BY sector, ESG_rating; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy_projects (id INT, name VARCHAR(255), location VARCHAR(255), capacity FLOAT); INSERT INTO renewable_energy_projects (id, name, location, capacity) VALUES (1, 'SolarFarm1', 'CityA', 1000), (2, 'WindFarm1', 'CityB', 2000), (3, 'SolarFarm2', 'CityA', 1500), (4, 'WindFarm2', 'CityB', 2500), (5,... | Locations with more than 1 renewable energy project | SELECT location, COUNT(*) as num_projects FROM renewable_energy_projects GROUP BY location HAVING COUNT(*) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity (province VARCHAR(255), year INT, capacity INT); INSERT INTO landfill_capacity (province, year, capacity) VALUES ('Ontario', 2022, 5000000); | What is the total landfill capacity in the province of Ontario in 2022? | SELECT SUM(capacity) FROM landfill_capacity WHERE province = 'Ontario' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE la_evs (id INT, vehicle_type VARCHAR(20), registration_date DATE); | Identify the number of electric vehicles in Los Angeles per day. | SELECT DATE(registration_date) AS registration_day, COUNT(*) FROM la_evs WHERE vehicle_type = 'electric' GROUP BY registration_day; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (donor_id INT, donor_name TEXT, donation_amount DECIMAL, org_id INT); CREATE TABLE volunteers (volunteer_id INT, hours_contributed INT, org_id INT); CREATE TABLE organizations (org_id INT, org_name TEXT); | Show the number of donors, total donation amount, and the average number of hours contributed by volunteers for each organization in the 'organizations' table. | SELECT organizations.org_name, COUNT(donors.donor_id) as num_donors, SUM(donors.donation_amount) as total_donations, AVG(volunteers.hours_contributed) as avg_hours_contributed FROM donors INNER JOIN organizations ON donors.org_id = organizations.org_id INNER JOIN volunteers ON organizations.org_id = volunteers.org_id G... | gretelai_synthetic_text_to_sql |
CREATE TABLE wind_farms (id INT, name VARCHAR(100), region VARCHAR(10), capacity FLOAT); INSERT INTO wind_farms (id, name, region, capacity) VALUES (1, 'Wind Farm A', 'West', 150.5); INSERT INTO wind_farms (id, name, region, capacity) VALUES (2, 'Wind Farm B', 'East', 120.3); | Find the total installed capacity (in MW) of Wind Farms in the region 'West' | SELECT SUM(capacity) FROM wind_farms WHERE region = 'West'; | gretelai_synthetic_text_to_sql |
CREATE TABLE dmo (id INT, name TEXT, region TEXT); CREATE TABLE dmo_markets (id INT, dmo_id INT, destination TEXT); INSERT INTO dmo (id, name, region) VALUES (1, 'Tourism Australia', 'Australia'), (2, 'Japan National Tourism Organization', 'Japan'); INSERT INTO dmo_markets (id, dmo_id, destination) VALUES (1, 1, 'Sydne... | How many destinations are marketed by each destination marketing organization? | SELECT dmo.name, COUNT(dmo_markets.destination) FROM dmo INNER JOIN dmo_markets ON dmo.id = dmo_markets.dmo_id GROUP BY dmo.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_life (life_id INT, life_name VARCHAR(50), region VARCHAR(50), biomass INT); INSERT INTO marine_life (life_id, life_name, region) VALUES (1, 'Shark', 'Indian Ocean'), (2, 'Tuna', 'Indian Ocean'); | What is the total biomass of marine life in the Indian Ocean? | SELECT SUM(biomass) FROM marine_life WHERE region = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tv_shows (id INT, title VARCHAR(100), viewership_count INT); INSERT INTO tv_shows (id, title, viewership_count) VALUES (1, 'The Mandalorian', 8000000); INSERT INTO tv_shows (id, title, viewership_count) VALUES (2, 'The Crown', 10000000); | Update the viewership count for TV Show 'The Crown' to 12 million | UPDATE tv_shows SET viewership_count = 12000000 WHERE title = 'The Crown'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, volunteer_name VARCHAR(50), volunteer_region VARCHAR(50), volunteer_hours DECIMAL(10,2), volunteer_date DATE); | What is the total number of volunteers from underrepresented communities who engaged in 2022? | SELECT COUNT(*) FROM volunteers WHERE YEAR(volunteer_date) = 2022 AND volunteer_region IN ('Indigenous', 'Latinx', 'Black', 'Asian Pacific Islander', 'LGBTQ+'); | gretelai_synthetic_text_to_sql |
CREATE TABLE startups(id INT, name TEXT, industry TEXT, founder_gender TEXT, funding FLOAT); INSERT INTO startups(id, name, industry, founder_gender, funding) VALUES (1, 'WomenInAI', 'AI', 'Female', 1000000); | What is the minimum and maximum funding amount for startups founded by women in the AI sector? | SELECT MIN(funding), MAX(funding) FROM startups WHERE industry = 'AI' AND founder_gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA IF NOT EXISTS Cybersecurity; CREATE TABLE IF NOT EXISTS Cybersecurity.Cyber_Strategies (strategy_id INT, strategy_name VARCHAR(255), description TEXT); INSERT INTO Cybersecurity.Cyber_Strategies (strategy_id, strategy_name, description) VALUES (1, 'NIST Cybersecurity Framework', 'Provides guidelines for m... | List all the cybersecurity strategies related to 'Risk Management' in the 'Cybersecurity' schema. | SELECT * FROM Cybersecurity.Cyber_Strategies WHERE description LIKE '%Risk Management%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_releases (id INT, garment_type VARCHAR(255), region VARCHAR(255), release_date DATE); INSERT INTO garment_releases (id, garment_type, region, release_date) VALUES (1, 'Ankara Dress', 'Africa', '2022-01-01'), (2, 'Kente Cloth Pants', 'Africa', '2022-02-01'), (3, 'Dashiki Shirt', 'Africa', '2022-03-0... | How many new garment types have been introduced in the African market in the last 6 months? | SELECT COUNT(*) as num_new_garment_types FROM garment_releases WHERE region = 'Africa' AND release_date >= DATEADD(month, -6, CURRENT_TIMESTAMP); | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicles (vehicle_id INT, vehicle_type VARCHAR(50)); INSERT INTO vehicles (vehicle_id, vehicle_type) VALUES (1000, 'Bus'), (1001, 'Tram'), (1002, 'Bus'), (1003, 'Tram'), (1004, 'Trolleybus'); | Show the number of unique vehicle types in the vehicles table, ordered from highest to lowest | SELECT COUNT(DISTINCT vehicle_type) FROM vehicles GROUP BY vehicle_type ORDER BY COUNT(DISTINCT vehicle_type) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (Id INT, Name VARCHAR(50), FuelType VARCHAR(20)); INSERT INTO Vessels (Id, Name, FuelType) VALUES (1, 'Vessel1', 'Diesel'), (2, 'Vessel2', 'LNG'), (3, 'Vessel3', 'Diesel'), (4, 'Vessel4', 'Hydrogen'); | Count the number of vessels for each fuel type in the fleet | SELECT FuelType, COUNT(*) FROM Vessels GROUP BY FuelType; | gretelai_synthetic_text_to_sql |
CREATE TABLE oil_platforms (platform_id INT PRIMARY KEY, platform_name VARCHAR(255), water_depth_ft INT, operational_status VARCHAR(50)); | Delete all records from the 'oil_platforms' table where the water_depth_ft is greater than 4000 | DELETE FROM oil_platforms WHERE water_depth_ft > 4000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholder (PolicyholderID INT, State VARCHAR(255), PolicyType VARCHAR(255), ClaimAmount DECIMAL(10,2)); INSERT INTO Policyholder VALUES (1, 'QC', 'Home', 5000), (2, 'NY', 'Home', 7000), (3, 'NJ', 'Auto', 8000), (4, 'CA', 'Life', 6000), (5, 'QC', 'Life', 9000); | Calculate the average claim amount for policyholders from Quebec who have a home or life insurance policy, and order the results by the average claim amount in ascending order. | SELECT PolicyType, AVG(ClaimAmount) as AvgClaimAmount FROM Policyholder WHERE State = 'QC' AND PolicyType IN ('Home', 'Life') GROUP BY PolicyType ORDER BY AvgClaimAmount ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_providers (id INT, state VARCHAR(20), rural BOOLEAN, population INT, providers INT); INSERT INTO mental_health_providers (id, state, rural, population, providers) VALUES (1, 'California', true, 1000000, 800), (2, 'California', false, 2000000, 1500), (3, 'Oregon', true, 500000, 400); | Number of mental health providers per 100,000 people in rural California? | SELECT (providers * 100000.0 / population) FROM mental_health_providers WHERE state = 'California' AND rural = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouses (id INT, name VARCHAR(50)); INSERT INTO Warehouses (id, name) VALUES (1, 'Seattle'), (2, 'Toronto'), (3, 'Mexico City'); CREATE TABLE Shipments (id INT, warehouse_id INT, pallets INT, shipment_date DATE); INSERT INTO Shipments (id, warehouse_id, pallets, shipment_date) VALUES (1, 1, 50, '2022-01... | How many pallets were shipped from each warehouse in the first quarter of 2022? | SELECT Warehouses.name, SUM(Shipments.pallets) AS total_pallets FROM Warehouses INNER JOIN Shipments ON Warehouses.id = Shipments.warehouse_id WHERE Shipments.shipment_date >= '2022-01-01' AND Shipments.shipment_date < '2022-04-01' GROUP BY Warehouses.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE animal_rescue_data (organization VARCHAR(255), year INT, animals_rescued INT); | What is the total number of animals rescued by each organization in the last 3 years? | SELECT organization, SUM(animals_rescued) FROM animal_rescue_data WHERE year BETWEEN 2020 AND 2022 GROUP BY organization; | gretelai_synthetic_text_to_sql |
CREATE TABLE gene_sequencing_costs (id INT, lab_name TEXT, country TEXT, cost FLOAT); INSERT INTO gene_sequencing_costs (id, lab_name, country, cost) VALUES (1, 'Lab1', 'Germany', 55000.0), (2, 'Lab2', 'Germany', 60000.0), (3, 'Lab3', 'France', 45000.0); | Identify top 2 most expensive gene sequencing costs in Germany. | SELECT lab_name, cost FROM (SELECT lab_name, cost, RANK() OVER (ORDER BY cost DESC) as rank FROM gene_sequencing_costs WHERE country = 'Germany') sub WHERE rank <= 2; | 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', 'Restorative Justice'), (2, 67890, '2022-02-15', '2022-04-30', 'Trial'), (3, 111213, '2022-03-28', ... | What is the median time to resolve cases using restorative justice methods? | SELECT AVG(DATEDIFF(DateClosed, DateOpened)) as MedianTimeToResolve FROM Cases WHERE Resolution = 'Restorative Justice' AND DateClosed IS NOT NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE Inventory (item_id INT, item_name VARCHAR(50), quantity INT, warehouse_id INT); | Show the number of records in the Inventory table where the warehouse_id is 101 | SELECT COUNT(*) FROM Inventory WHERE warehouse_id = 101; | gretelai_synthetic_text_to_sql |
CREATE TABLE weather_data (measurement_id INT, measurement_date DATE, temperature FLOAT, location VARCHAR(50)); | What is the average temperature change in the Arctic Circle for each year, including the total number of measurements taken? | SELECT AVG(temperature) AS avg_temperature_change, YEAR(measurement_date) AS year, COUNT(*) AS total_measurements FROM weather_data WHERE location LIKE '%Arctic Circle%' GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_contracts (cont_id INT, cont_name VARCHAR(50), proj_id INT, cont_status VARCHAR(50), cont_end_date DATE); INSERT INTO defense_contracts (cont_id, cont_name, proj_id, cont_status, cont_end_date) VALUES (1, 'Army Modernization', 1, 'Expired', '2022-01-01'); | Delete defense contracts for 'Brazil' with status 'Expired' | DELETE FROM defense_contracts WHERE cont_status = 'Expired' AND region = 'Brazil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Turtles (Species VARCHAR(255), Ocean VARCHAR(255), Population INT); | Insert a new record into the Turtles table for the Leatherback Turtle, with the ocean being the Atlantic Ocean and a population of 45000. | INSERT INTO Turtles (Species, Ocean, Population) VALUES ('Leatherback Turtle', 'Atlantic Ocean', 45000); | gretelai_synthetic_text_to_sql |
CREATE TABLE Visitors (id INT, country VARCHAR(50), exhibition_id INT); CREATE TABLE Exhibitions (id INT, name VARCHAR(50)); INSERT INTO Exhibitions (id, name) VALUES (1, 'Digital Art'); ALTER TABLE Visitors ADD FOREIGN KEY (exhibition_id) REFERENCES Exhibitions(id); | What is the total number of visitors who attended the 'Digital Art' exhibition and are from the USA? | SELECT COUNT(*) FROM Visitors WHERE exhibition_id = 1 AND country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Digital_Divide (area VARCHAR(50), region VARCHAR(50), index INT); INSERT INTO Digital_Divide (area, region, index) VALUES ('Rural', 'Africa', 70), ('Urban', 'Africa', 50), ('Rural', 'Asia', 60), ('Urban', 'Asia', 40), ('Rural', 'South America', 50), ('Urban', 'South America', 30), ('Rural', 'Europe', 40), ... | What is the average digital divide index for rural and urban areas? | SELECT area, AVG(index) as avg_index FROM Digital_Divide GROUP BY area; | gretelai_synthetic_text_to_sql |
CREATE TABLE FoodTrends (product_id INT, product_name VARCHAR(255), category VARCHAR(100), popularity_score INT); INSERT INTO FoodTrends (product_id, product_name, category, popularity_score) VALUES (1, 'Quinoa Salad', 'Organic', 85), (2, 'Chia Seeds', 'Vegan', 90), (3, 'Grass-Fed Beef', 'Sustainable', 75); | What is the maximum popularity score for each category in the food trends table? | SELECT category, MAX(popularity_score) FROM FoodTrends GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Hotels (hotel_id INT, hotel_name TEXT, country TEXT, eco_friendly BOOLEAN, max_guests INT); INSERT INTO Hotels (hotel_id, hotel_name, country, eco_friendly, max_guests) VALUES (1, 'Eco-Friendly Hotel Delhi', 'India', true, 150); INSERT INTO Hotels (hotel_id, hotel_name, country, eco_friendly, max_guests) V... | What is the maximum number of guests that can be accommodated in eco-friendly hotels in India? | SELECT MAX(max_guests) FROM Hotels WHERE country = 'India' AND eco_friendly = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE Suppliers (SupplierID INT, SupplierName VARCHAR(50), Location VARCHAR(50)); INSERT INTO Suppliers (SupplierID, SupplierName, Location) VALUES (1, 'Supplier A', 'Northeast'), (2, 'Supplier B', 'Midwest'), (3, 'Supplier C', 'Southwest'); CREATE TABLE Products (ProductID INT, ProductName VARCHAR(50), Supplier... | What is the total quantity of fruits sold in the Midwest region? | SELECT SUM(Quantity) FROM Sales JOIN Products ON Sales.ProductID = Products.ProductID JOIN Suppliers ON Products.SupplierID = Suppliers.SupplierID WHERE Category = 'Fruits' AND Suppliers.Location = 'Midwest'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_id INT, donation_amount DECIMAL, donation_date DATE); | What's the average donation amount per donor in H1 2021? | SELECT AVG(donation_amount) FROM (SELECT donation_amount, donor_id FROM donations WHERE donation_date >= '2021-01-01' AND donation_date < '2021-07-01' GROUP BY donor_id) AS donations_per_donor; | gretelai_synthetic_text_to_sql |
CREATE TABLE financial_wellbeing (id INT, household_id INT, region VARCHAR(255), score FLOAT); | What is the average financial wellbeing score for low-income households in Southeast Asia? | SELECT AVG(score) FROM financial_wellbeing WHERE household_id <= 30000 AND region = 'Southeast Asia'; | 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, 1, 'extended time', 200, '2022-01-01'); INSERT INTO accommodations (id, student_id, type, cost, date) VALUES (2, 2, 'note taker', 500, '2022-02-01'); | What is the average number of accommodations provided to students with learning disabilities per month in the past year? | SELECT AVG(COUNT(*)) FROM accommodations WHERE student_id IN (SELECT id FROM students WHERE disability = 'learning disability') AND date >= DATE_SUB(NOW(), INTERVAL 1 YEAR) GROUP BY MONTH(date); | gretelai_synthetic_text_to_sql |
CREATE TABLE SupportProgramsForHearingImpaired (ProgramID INT, ProviderName VARCHAR(50), DisabilityType VARCHAR(50)); | What is the average number of support programs provided to students with hearing impairments per provider? | SELECT ProviderName, AVG(ProgramCount) FROM (SELECT ProviderName, COUNT(ProgramID) as ProgramCount FROM SupportProgramsForHearingImpaired WHERE DisabilityType = 'hearing impairment' GROUP BY ProviderName) as subquery GROUP BY ProviderName; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT, name TEXT, union_id INT, union_member BOOLEAN); INSERT INTO workers (id, name, union_id, union_member) VALUES (1, 'John Doe', 1, true), (2, 'Jane Smith', 1, false); CREATE TABLE unions (id INT, name TEXT, member_count INT); INSERT INTO unions (id, name, member_count) VALUES (1, 'Union A', ... | What is the total number of workers represented by each union, including workers who are not union members? | SELECT u.name, COALESCE(SUM(w.union_member), 0) FROM unions u LEFT JOIN workers w ON u.id = w.union_id GROUP BY u.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE city_certifications (city VARCHAR(20), certifications INT); INSERT INTO city_certifications (city, certifications) VALUES ('New York', 500), ('Los Angeles', 300), ('Chicago', 400); | Show the top 3 cities with the most green building certifications. | SELECT city, certifications FROM (SELECT city, certifications, RANK() OVER (ORDER BY certifications DESC) as rank FROM city_certifications) AS subquery WHERE rank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, patient_name VARCHAR(50), condition VARCHAR(50), country VARCHAR(50), hospitalization_date DATE, discharge_date DATE); INSERT INTO patients (patient_id, patient_name, condition, country, hospitalization_date, discharge_date) VALUES (1, 'Jean Dupont', 'Depression', 'France', '2021-... | Find the average number of weeks patients with depression are hospitalized in France. | SELECT AVG(DATEDIFF(day, patients.hospitalization_date, patients.discharge_date)/7.0) FROM patients WHERE patients.condition = 'Depression' AND patients.country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE forests (id INT, name VARCHAR(255)); INSERT INTO forests (id, name) VALUES (1, 'Forest A'), (2, 'Forest B'); CREATE TABLE trees (id INT, forest_id INT, age INT); INSERT INTO trees (id, forest_id, age) VALUES (1, 1, 60), (2, 1, 45), (3, 2, 55), (4, 2, 30); | Find the number of trees in each forest that are older than 50 years. | SELECT f.name, COUNT(t.id) FROM forests f JOIN trees t ON f.id = t.forest_id WHERE t.age > 50 GROUP BY f.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (id INT PRIMARY KEY, name VARCHAR(255), region VARCHAR(255), years_experience INT, cultural_competency_score INT); INSERT INTO community_health_workers (id, name, region, years_experience, cultural_competency_score) VALUES (1, 'Ada Williams', 'Southeast', 8, 95), (2, 'Brian Johnson... | Insert records into the table 'community_health_workers' | INSERT INTO community_health_workers (id, name, region, years_experience, cultural_competency_score) VALUES (7, 'Hee Jeong Lee', 'Northwest', 7, 87), (8, 'Ibrahim Hussein', 'East', 9, 96), (9, 'Jasmine Patel', 'Southwest', 8, 91); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas_atlantic_ocean (area_name VARCHAR(255), min_depth DECIMAL(10,2), max_depth DECIMAL(10,2)); INSERT INTO marine_protected_areas_atlantic_ocean (area_name, min_depth, max_depth) VALUES ('Azores Nature Park', 10.25, 50.65), ('Bermuda Park', 50.65, 100.20), ('Galapagos Marine Reserve', 15... | What is the minimum and maximum depth of all marine protected areas in the Atlantic Ocean? | SELECT MIN(min_depth) AS min_depth, MAX(max_depth) AS max_depth FROM marine_protected_areas_atlantic_ocean; | gretelai_synthetic_text_to_sql |
CREATE TABLE CityEnergy (City VARCHAR(50), EnergyCapacity FLOAT, Renewable BOOLEAN); INSERT INTO CityEnergy (City, EnergyCapacity, Renewable) VALUES ('CityA', 5000, TRUE), ('CityB', 3000, FALSE), ('CityC', 7000, TRUE); | What is the renewable energy capacity for each city, ordered from the highest to the lowest? | SELECT City, EnergyCapacity FROM CityEnergy WHERE Renewable = TRUE ORDER BY EnergyCapacity DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(50), country VARCHAR(50)); INSERT INTO users (id, name, country) VALUES (1, 'John Doe', 'USA'), (2, 'Jane Smith', 'India'); CREATE TABLE posts (id INT, user_id INT, timestamp DATETIME); INSERT INTO posts (id, user_id, timestamp) VALUES (1, 1, '2022-01-01 12:00:00'), (2, 1, '2022... | How many users have engaged with posts from users in India in the last week? | SELECT COUNT(DISTINCT engagements.user_id) FROM engagements INNER JOIN posts ON engagements.post_id = posts.id INNER JOIN users AS post_users ON posts.user_id = post_users.id INNER JOIN users AS engagement_users ON engagements.user_id = engagement_users.id WHERE post_users.country = 'India' AND engagements.timestamp >=... | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_sequestration (year INT, region VARCHAR(255), sequestration FLOAT); INSERT INTO carbon_sequestration (year, region, sequestration) VALUES (2020, 'Region A', 1300.0), (2020, 'Region B', 1400.0), (2020, 'Region C', 1200.0); | Identify the regions with highest carbon sequestration in 2020. | SELECT region FROM carbon_sequestration WHERE sequestration = (SELECT MAX(sequestration) FROM carbon_sequestration WHERE year = 2020); | gretelai_synthetic_text_to_sql |
CREATE TABLE Satellites (satellite_id INT, name VARCHAR(255), country VARCHAR(255), altitude FLOAT, constellation VARCHAR(255)); INSERT INTO Satellites (satellite_id, name, country, altitude, constellation) VALUES (1, 'Tianwen-1', 'China', 377.5, 'Mars Exploration'), (2, 'Beidou-3', 'China', 35786, 'Navigation'), (3, '... | What is the maximum altitude of Chinese satellites? | SELECT MAX(altitude) FROM Satellites WHERE country = 'China'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Inventory (id INT, product_id INT, size VARCHAR(10), quantity INT); INSERT INTO Inventory (id, product_id, size, quantity) VALUES (1, 1, '2XL', 25), (2, 2, 'XS', 50); | What is the total quantity of unsold size 2XL clothing in the warehouse? | SELECT SUM(quantity) FROM Inventory WHERE size = '2XL' AND quantity > 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE Collections_Period (city VARCHAR(20), period VARCHAR(20), pieces INT); INSERT INTO Collections_Period (city, period, pieces) VALUES ('Amsterdam', 'Renaissance', 500), ('Amsterdam', 'Baroque', 300), ('Amsterdam', 'Modern', 200), ('Paris', 'Renaissance', 700); | What is the distribution of art collections by period in Amsterdam? | SELECT period, COUNT(*) FROM Collections_Period WHERE city = 'Amsterdam' GROUP BY period; | gretelai_synthetic_text_to_sql |
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