context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE investment_rounds (company_id INT); INSERT INTO investment_rounds (company_id) VALUES (1); INSERT INTO investment_rounds (company_id) VALUES (3); | List all companies that have not had any investment rounds | SELECT c.id, c.name FROM company c LEFT JOIN investment_rounds ir ON c.id = ir.company_id WHERE ir.company_id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE market_share (market_id INT, organization_id INT, region VARCHAR(255), quarter INT, year INT, market_share DECIMAL(4, 2)); | What was the market share for each organization in the South region in Q2 2021? | SELECT organization_id, SUM(market_share) as total_market_share FROM market_share WHERE region = 'South' AND quarter = 2 AND year = 2021 GROUP BY organization_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(50), followers INT); CREATE TABLE posts (user_id INT, post_text VARCHAR(255)); | List the top 5 users with the most number of followers in the social_media schema? | SELECT u.name, u.followers FROM users u JOIN (SELECT user_id, MAX(followers) AS max_followers FROM users GROUP BY user_id) f ON u.id = f.user_id ORDER BY u.followers DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE CulturalEvents (event_date DATE, organizer VARCHAR(50), num_attendees INT); INSERT INTO CulturalEvents (event_date, organizer, num_attendees) VALUES ('2021-04-01', 'Asian Arts Council', 1200), ('2021-04-02', 'Asian Arts Council', 1500), ('2021-04-03', 'Asian Arts Council', 800), ('2021-05-01', 'Asian Herit... | Who are the top 3 cultural event organizers with the highest average attendance in Asia in the last year? | SELECT organizer, AVG(num_attendees) FROM CulturalEvents WHERE event_date >= DATEADD(YEAR, -1, GETDATE()) AND organizer IN ('Asian Arts Council', 'Asian Heritage Foundation', 'Asian Cultural Society') GROUP BY organizer ORDER BY AVG(num_attendees) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, FirstName VARCHAR(50), LastName VARCHAR(50), JobTitle VARCHAR(50), SupervisesSiteID INT); INSERT INTO Employees (EmployeeID, FirstName, LastName, JobTitle, SupervisesSiteID) VALUES (1, 'John', 'Doe', 'Site Manager', 1), (2, 'Jane', 'Doe', 'Environmental Manager', 2), (3, 'Bob', '... | List all workers, their roles, and the mining sites they oversee that have a high water consumption rate | SELECT e.FirstName, e.LastName, e.JobTitle, s.SiteName, s.Location, s.WaterConsumptionRate FROM Employees e INNER JOIN MiningSites s ON e.SupervisesSiteID = s.SiteID WHERE s.WaterConsumptionRate > 1200; | gretelai_synthetic_text_to_sql |
CREATE TABLE digital_assets (asset_id INT, asset_name VARCHAR(255), network VARCHAR(255), market_cap DECIMAL(10,2)); INSERT INTO digital_assets (asset_id, asset_name, network, market_cap) VALUES (1, 'ETH', 'ethereum', 2000000000), (2, 'USDC', 'ethereum', 500000000), (3, 'UNI', 'ethereum', 3000000000), (4, 'BTC', 'bitco... | What is the total value of all transactions involving digital assets with a market capitalization greater than $1 billion? | SELECT SUM(t.value) as total_value FROM digital_assets d JOIN transactions t ON d.asset_id = t.asset_id WHERE d.market_cap > 1000000000; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinics (country VARCHAR(20), clinic_name VARCHAR(50), patient_satisfaction_score INT); INSERT INTO clinics (country, clinic_name, patient_satisfaction_score) VALUES ('Australia', 'Clinic E', 90), ('Australia', 'Clinic F', 80), ('New Zealand', 'Clinic G', 88), ('New Zealand', 'Clinic H', 92); | How many rural health clinics are there in Australia and New Zealand that have a patient satisfaction score greater than 85? | SELECT country, COUNT(*) FROM clinics WHERE patient_satisfaction_score > 85 GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpendingData (Year INT, Country VARCHAR(255), Tourists INT, Spending DECIMAL(10,2)); INSERT INTO SpendingData (Year, Country, Tourists, Spending) VALUES (2019, 'Indonesia', 12000000, 650), (2019, 'Malaysia', 9000000, 800), (2019, 'Singapore', 7000000, 1200), (2019, 'Thailand', 15000000, 900), (2019, 'Phili... | What is the percentage of international tourists in Southeast Asia who spent more than $1000 in 2019? | SELECT (SUM(CASE WHEN Spending > 1000 THEN 1 ELSE 0 END) * 100.0 / COUNT(*)) AS Percentage FROM SpendingData WHERE Country IN ('Indonesia', 'Malaysia', 'Singapore', 'Thailand', 'Philippines') AND Year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_contracts (contract_id INT PRIMARY KEY, contract_name VARCHAR(50), developer_id INT, language VARCHAR(20), FOREIGN KEY (developer_id) REFERENCES developers(developer_id)); INSERT INTO smart_contracts (contract_id, contract_name, developer_id, language) VALUES (1, 'Contract1', 1, 'Solidity'); INSERT I... | Which dapps belong to the 'Gaming' category and were developed using Solidity? | SELECT dapps.dapp_name FROM dapps INNER JOIN smart_contracts ON dapps.contract_id = smart_contracts.contract_id WHERE dapps.category = 'Gaming' AND smart_contracts.language = 'Solidity'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (id INT, name VARCHAR(255)); CREATE TABLE parks (id INT, city_id INT, name VARCHAR(255), number INT); CREATE TABLE recreation_centers (id INT, city_id INT, name VARCHAR(255), number INT); | What is the name and number of parks and recreation centers in each city? | SELECT c.name, p.number AS park_count, rc.number AS recreation_center_count FROM cities c LEFT JOIN parks p ON c.id = p.city_id LEFT JOIN recreation_centers rc ON c.id = rc.city_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_prices (id INT, region VARCHAR(50), price FLOAT, date DATE); INSERT INTO energy_prices (id, region, price, date) VALUES (1, 'West', 60.1, '2022-02-15'); | What is the average energy price for the 'West' region between February 15th and February 21st, 2022? | SELECT region, AVG(price) AS avg_price FROM energy_prices WHERE date BETWEEN '2022-02-15' AND '2022-02-21' AND region = 'West' GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE cybersecurity_incidents (region VARCHAR(50), year INT, num_incidents INT); INSERT INTO cybersecurity_incidents (region, year, num_incidents) VALUES ('China', 2019, 5000), ('China', 2020, 6000), ('China', 2021, 7000), ('India', 2019, 4000), ('India', 2020, 5000), ('India', 2021, 6000); INSERT INTO cybersecu... | What is the maximum number of cybersecurity incidents reported in Asian countries in the last 3 years? | SELECT MAX(num_incidents) FROM cybersecurity_incidents WHERE region IN ('China', 'India', 'Indonesia', 'Japan') AND year BETWEEN 2019 AND 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE SUSTAINABLE_BRANDS (brand_id INT PRIMARY KEY, brand_name VARCHAR(50), country VARCHAR(50), sustainable_practices TEXT); INSERT INTO SUSTAINABLE_BRANDS (brand_id, brand_name, country, sustainable_practices) VALUES (1, 'BrandA', 'USA', 'Organic cotton, fair trade, recycled materials'), (2, 'BrandB', 'Brazil'... | Get the number of sustainable brands from each country. | SELECT country, COUNT(*) FROM SUSTAINABLE_BRANDS GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Workouts (WorkoutID INT, WorkoutName VARCHAR(20), Category VARCHAR(10)); INSERT INTO Workouts (WorkoutID, WorkoutName, Category) VALUES (1, 'Treadmill', 'Cardio'), (2, 'Yoga', 'Strength'), (3, 'Cycling', 'Cardio'), (4, 'Push-ups', 'Strength'), (5, 'Squats', 'Strength'); | What is the total number of workouts in each category? | SELECT Category, COUNT(*) FROM Workouts GROUP BY Category; | gretelai_synthetic_text_to_sql |
CREATE TABLE emissions (id INT, category VARCHAR(255), subcategory VARCHAR(255), age_group VARCHAR(50), material VARCHAR(50), co2_reduction DECIMAL(10, 2), country VARCHAR(50)); INSERT INTO emissions (id, category, subcategory, age_group, material, co2_reduction, country) VALUES (1, 'Tops', 'T-Shirts', 'Children', 'Rec... | Find the average CO2 emissions reduction of children's garments made from recycled polyester in the United States. | SELECT AVG(co2_reduction) FROM emissions WHERE category IN ('Tops', 'Bottoms') AND age_group = 'Children' AND material = 'Recycled Polyester' AND country = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE dapps (dapp_name VARCHAR(20), network VARCHAR(20), smart_contracts INT); INSERT INTO dapps (dapp_name, network, smart_contracts) VALUES ('Uniswap', 'Ethereum', 500), ('OpenSea', 'Ethereum', 300), ('Compound', 'Ethereum', 400); | List the top 3 decentralized applications by the number of smart contracts deployed in the 'Ethereum' network. | SELECT dapp_name, network, smart_contracts FROM (SELECT dapp_name, network, smart_contracts, ROW_NUMBER() OVER (PARTITION BY network ORDER BY smart_contracts DESC) as rn FROM dapps) x WHERE rn <= 3 AND network = 'Ethereum'; | gretelai_synthetic_text_to_sql |
CREATE TABLE monthly_usage (customer_id INT, month DATE, data_usage FLOAT); INSERT INTO monthly_usage VALUES (1, '2022-01-01', 100), (1, '2021-01-01', 110); | What is the difference in data usage in GB between the current month and the same month last year for each customer? | SELECT customer_id, LAG(SUM(data_usage)/1024/1024/1024, 12) OVER(PARTITION BY customer_id ORDER BY month) as previous_year_usage_gb, SUM(data_usage)/1024/1024/1024 as current_month_usage_gb FROM monthly_usage WHERE month >= DATEADD(month, -12, GETDATE()) GROUP BY customer_id, month; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (org_id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), type VARCHAR(255), contact_name VARCHAR(255), contact_email VARCHAR(255), contact_phone VARCHAR(20)); | Update a legal aid organization in the 'organizations' table | UPDATE organizations SET location = 'Los Angeles, CA', type = 'Legal Aid' WHERE name = 'Justice for All'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_projects (name TEXT, country TEXT, technology TEXT, capacity_mw INTEGER, year INTEGER); | Insert a new solar energy project in Mexico with 25 MW capacity in 2022. | INSERT INTO renewable_projects (name, country, technology, capacity_mw, year) VALUES ('Project D', 'Mexico', 'Solar', 25, 2022); | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_stock_4 (species VARCHAR(255), dissolved_oxygen FLOAT); INSERT INTO fish_stock_4 (species, dissolved_oxygen) VALUES ('Tilapia', 6.9), ('Catfish', 5.9), ('Salmon', 7.3); | What is the maximum dissolved oxygen level in the fish_stock_4 table for each species? | SELECT species, MAX(dissolved_oxygen) FROM fish_stock_4 GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, volunteer_join_date DATE, state VARCHAR(50)); | How many volunteers joined in Q1 2022 from the state of New York? | SELECT COUNT(volunteer_id) FROM volunteers WHERE QUARTER(volunteer_join_date) = 1 AND state = 'New York' AND YEAR(volunteer_join_date) = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists(artist_id INT, name VARCHAR(50)); | Insert new artists 'Rosalía' and 'Ozuna' into the artists table. | INSERT INTO artists (name) VALUES ('Rosalía'), ('Ozuna'); | gretelai_synthetic_text_to_sql |
CREATE TABLE bus_routes (route_id INT, city VARCHAR(50), avg_time_between_departures TIME); INSERT INTO bus_routes (route_id, city, avg_time_between_departures) VALUES (1, 'Chicago', '00:15:00'), (2, 'Chicago', '00:20:00'), (3, 'Chicago', '00:10:00'); | What is the average time between bus departures for a given route in Chicago? | SELECT AVG(avg_time_between_departures) FROM bus_routes WHERE city = 'Chicago'; | gretelai_synthetic_text_to_sql |
CREATE TABLE plants (id INT, name TEXT, country TEXT); INSERT INTO plants (id, name, country) VALUES (1, 'PlantA', 'Germany'), (2, 'PlantB', 'France'); CREATE TABLE employees (id INT, name TEXT, department TEXT, plant_id INT); INSERT INTO employees (id, name, department, plant_id) VALUES (1, 'John', 'manufacturing', 1)... | What is the total number of employees working in the 'manufacturing' department across all plants in Germany? | SELECT COUNT(*) FROM employees INNER JOIN plants ON employees.plant_id = plants.id WHERE employees.department = 'manufacturing' AND plants.country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE obesity_rates (zip TEXT, rate INT); INSERT INTO obesity_rates (zip, rate) VALUES ('12345', 40); | Which ZIP codes in the US have the highest obesity rates? | SELECT zip, AVG(rate) FROM obesity_rates GROUP BY zip HAVING AVG(rate) >= (SELECT AVG(rate) FROM obesity_rates WHERE zip = '12345') ORDER BY AVG(rate) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE eco_certified_sites (site_id INT, site_name TEXT, city TEXT, eco_certified BOOLEAN); INSERT INTO eco_certified_sites (site_id, site_name, city, eco_certified) VALUES (1, 'Eco-Park', 'Rio de Janeiro', true), (2, 'Green Castle', 'Dublin', true), (3, 'Sustainable Museum', 'Paris', false); | What is the total number of eco-certified cultural heritage sites? | SELECT COUNT(*) FROM eco_certified_sites WHERE eco_certified = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE animals (id INT, name VARCHAR(50), species VARCHAR(50), population_size INT, size_km FLOAT); INSERT INTO animals (id, name, species, population_size, size_km) VALUES (1, 'Bear', 'Ursidae', 450, 45.6); | What is the average population size for mammals in the 'animals' table with a size greater than 25 square kilometers? | SELECT AVG(population_size) FROM animals WHERE size_km > 25 AND species = 'Ursidae'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wind_turbines (id INT, region VARCHAR(20), power_output FLOAT); INSERT INTO wind_turbines (id, region, power_output) VALUES (1, 'Midwest', 3.4), (2, 'South', 4.2), (3, 'Midwest', 5.1), (4, 'Northeast', 2.9); | What is the maximum power output of a wind turbine in the 'Midwest' region? | SELECT MAX(power_output) FROM wind_turbines WHERE region = 'Midwest'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rovs (name VARCHAR(255), manufacturer VARCHAR(255), max_depth INT, min_depth INT); INSERT INTO rovs (name, manufacturer, max_depth, min_depth) VALUES ('ROV1', 'Manufacturer1', 6000, 500); | What are the maximum and minimum operating depths for deep-sea ROVs? | SELECT MAX(max_depth), MIN(min_depth) FROM rovs | gretelai_synthetic_text_to_sql |
CREATE TABLE excavation_sites (id INT, country VARCHAR(255), depth FLOAT); INSERT INTO excavation_sites (id, country, depth) VALUES (1, 'France', 4.2), (2, 'Spain', 3.9), (3, 'France', 4.5); | What is the average depth of all excavation sites in France? | SELECT AVG(depth) FROM excavation_sites WHERE country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales_person_data (salesperson VARCHAR(20), product VARCHAR(20), sales_amount DECIMAL(10,2)); INSERT INTO sales_person_data VALUES ('John', 'Laptop', 1200.00), ('John', 'Phone', 500.00), ('Jane', 'Phone', 300.00), ('Jane', 'Tablet', 800.00), ('John', 'Tablet', 600.00); | Identify the salesperson who made the most sales for a specific product, showing the salesperson, product, and sales amount. | SELECT salesperson, product, MAX(sales_amount) AS max_sales FROM sales_person_data GROUP BY product; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy (id INT, project_name VARCHAR(50), location VARCHAR(50), cost FLOAT); INSERT INTO energy (id, project_name, location, cost) VALUES (1, 'Wind Farm', 'Region C', 15000000.00), (2, 'Solar Power Plant', 'City D', 20000000.00), (3, 'Geothermal Plant', 'Area E', 18000000.00); | What is the average cost of projects in the 'energy' table? | SELECT AVG(cost) FROM energy; | gretelai_synthetic_text_to_sql |
CREATE TABLE districts (id INT, name TEXT);CREATE TABLE emergencies (id INT, district_id INT, date_time DATETIME); | What is the maximum number of emergency calls received in a single hour in each district? | SELECT d.name, MAX(HOUR(e.date_time)) as hour, COUNT(e.id) as calls FROM districts d JOIN emergencies e ON d.id = e.district_id GROUP BY d.id, hour; | gretelai_synthetic_text_to_sql |
CREATE TABLE world_news (id INT, headline VARCHAR(255), source VARCHAR(255), published_date DATE, country VARCHAR(255)); | Which countries had the most news articles published about them in the 'world_news' table? | SELECT country, COUNT(*) as articles_about_country FROM world_news GROUP BY country ORDER BY articles_about_country DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE species_so (id INT, name TEXT, location TEXT); INSERT INTO species_so (id, name, location) VALUES (1, 'Krill', 'Southern Ocean'); INSERT INTO species_so (id, name, location) VALUES (2, 'Seal', 'Atlantic Ocean'); | What is the total number of marine species that have been observed in the Southern Ocean? | SELECT COUNT(*) FROM species_so WHERE location = 'Southern Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ModelFairness (model_name TEXT, fairness_score FLOAT, observation_date DATE); INSERT INTO ModelFairness (model_name, fairness_score, observation_date) VALUES ('ModelA', 0.85, '2021-01-01'), ('ModelA', 0.86, '2021-02-01'), ('ModelB', 0.90, '2021-01-01'), ('ModelB', 0.91, '2021-02-01'); | What is the change in fairness score for each model from the first to the last observation? | SELECT model_name, LAG(fairness_score) OVER (PARTITION BY model_name ORDER BY observation_date) lag_score, fairness_score, fairness_score - LAG(fairness_score) OVER (PARTITION BY model_name ORDER BY observation_date) change FROM ModelFairness; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT PRIMARY KEY, Name VARCHAR(100), Age INT, Sport VARCHAR(50), Country VARCHAR(50)); CREATE TABLE Players_Stats (PlayerID INT, Stat VARCHAR(50), Value INT); INSERT INTO Players_Stats (PlayerID, Stat, Value) VALUES (1, 'Goals', 10); INSERT INTO Players_Stats (PlayerID, Stat, Value) VALUES... | What is the sum of goals and assists for all ice hockey players from Russia? | SELECT SUM(Value) as TotalGoalsAndAssists FROM Players_Stats JOIN Players ON Players.PlayerID = Players_Stats.PlayerID WHERE Players.Sport = 'Ice Hockey' AND Players.Country = 'Russia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_line VARCHAR(20), calorie_count INT); INSERT INTO products (product_id, product_line, calorie_count) VALUES (1, 'organic', 150), (2, 'conventional', 200); | What is the average calorie count for items in the organic product line? | SELECT AVG(calorie_count) FROM products WHERE product_line = 'organic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE interactions (id INT, user_id INT, interaction_date DATE); INSERT INTO interactions (id, user_id, interaction_date) VALUES (1, 1001, '2022-02-01'), (2, 1002, '2022-02-15'), (3, 1003, '2022-02-20'), (4, 1001, '2022-02-25'), (5, 1004, '2022-03-01'), (6, 1003, '2022-02-03'); | Delete records of users who have not interacted with the explainable AI system in the past month | DELETE FROM interactions WHERE interaction_date < NOW() - INTERVAL 1 MONTH; | gretelai_synthetic_text_to_sql |
CREATE TABLE southern_ocean_pollution (report_year INT, incident_count INT); INSERT INTO southern_ocean_pollution (report_year, incident_count) VALUES (2019, 3), (2018, 4); | How many pollution incidents were reported in the Southern Ocean in 2019? | SELECT SUM(incident_count) FROM southern_ocean_pollution WHERE report_year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE usage (id INT, subscriber_id INT, data_usage DECIMAL(10,2), type VARCHAR(10), region VARCHAR(10), usage_date DATE); INSERT INTO usage (id, subscriber_id, data_usage, type, region, usage_date) VALUES (1, 1, 12.5, 'mobile', 'Europe', '2022-01-01'), (2, 2, 8.0, 'mobile', 'Europe', '2022-01-02'), (3, 3, 15.0, ... | What is the maximum amount of data used in a single day by mobile customers in the 'Europe' region? | SELECT MAX(usage.data_usage) AS max_data_usage FROM usage WHERE usage.type = 'mobile' AND usage.region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE providers (id INT, name TEXT, specialty TEXT); INSERT INTO providers (id, name, specialty) VALUES (1, 'Dr. Patel', 'Obstetrics'), (2, 'Dr. Kim', 'Pediatrics'), (3, 'Dr. Garcia', 'Obstetrics and Pediatrics'); | Find the intersection of providers who work in 'Obstetrics' and 'Pediatrics' specialties? | SELECT name FROM providers WHERE specialty = 'Obstetrics' INTERSECT SELECT name FROM providers WHERE specialty = 'Pediatrics'; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name TEXT, founder_age INT, industry TEXT); INSERT INTO company (id, name, founder_age, industry) VALUES (1, 'FinTech', 45, 'Financial Technology'); INSERT INTO company (id, name, founder_age, industry) VALUES (2, 'BankingInnovations', 50, 'Financial Technology'); | What is the total funding received by startups founded by people over the age of 40 in the financial technology industry? | SELECT SUM(funding_amount) FROM funding INNER JOIN company ON funding.company_id = company.id WHERE company.founder_age > 40 AND company.industry = 'Financial Technology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Roads (name TEXT, number TEXT, state TEXT); | Find the number of roads in each state that intersect with an interstate. | SELECT state, COUNT(*) FROM Roads WHERE number LIKE 'I-%' GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (area_name VARCHAR(50), region VARCHAR(50), area_size INT); | What is the total area of marine protected areas in the 'marine_protected_areas' table, grouped by region?" | SELECT region, SUM(area_size) FROM marine_protected_areas GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE sites (site_id INT, state VARCHAR(2)); CREATE TABLE environmental_impact_assessments (assessment_id INT, site_id INT, assessment_date DATE); | List all mining sites located in 'CA' and 'NV' that have recorded environmental impact assessments. | SELECT s.site_id, s.state FROM sites s INNER JOIN environmental_impact_assessments e ON s.site_id = e.site_id WHERE s.state IN ('CA', 'NV'); | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (worker_id INT, age INT, cultural_competency_score INT); INSERT INTO community_health_workers (worker_id, age, cultural_competency_score) VALUES (1, 35, 80), (2, 40, 85), (3, 45, 90); | What is the average cultural competency score for community health workers by age group? | SELECT age_group, AVG(cultural_competency_score) FROM (SELECT CASE WHEN age < 40 THEN 'Under 40' ELSE '40 and over' END AS age_group, cultural_competency_score FROM community_health_workers) AS subquery GROUP BY age_group; | gretelai_synthetic_text_to_sql |
CREATE TABLE equipment_maintenance (maintenance_id INT, maintenance_date DATE, equipment_type VARCHAR(255), region VARCHAR(255)); INSERT INTO equipment_maintenance (maintenance_id, maintenance_date, equipment_type, region) VALUES (1, '2021-12-31', 'aircraft', 'Asia-Pacific'), (2, '2022-04-04', 'tank', 'Europe'), (3, '2... | List all military equipment maintenance activities performed on aircraft in the Asia-Pacific region in the last 6 months. | SELECT * FROM equipment_maintenance WHERE equipment_type = 'aircraft' AND region = 'Asia-Pacific' AND maintenance_date >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA energy_efficiency; CREATE TABLE efficiency_projects (id INT, name VARCHAR(50), carbon_reduction FLOAT, cost_savings FLOAT); INSERT INTO efficiency_projects (id, name, carbon_reduction, cost_savings) VALUES (1, 'Efficiency Project 1', 200.5, 0.16), (2, 'Efficiency Project 2', 150.3, 0.18), (3, 'Efficiency ... | What is the total carbon emissions reduction in metric tons for energy efficiency projects in the 'energy_efficiency' schema, for projects that have achieved a cost savings of at least 15%? | SELECT SUM(carbon_reduction) as total_carbon_reduction FROM energy_efficiency.efficiency_projects WHERE cost_savings >= 0.15; | gretelai_synthetic_text_to_sql |
CREATE TABLE Concerts (concert_id INT, artist VARCHAR(50), tier VARCHAR(50), sales INT, price DECIMAL(10, 2)); INSERT INTO Concerts (concert_id, artist, tier, sales, price) VALUES (1, 'Taylor Swift', 'Platinum', 5000, 150), (2, 'The Rolling Stones', 'Gold', 7000, 120), (3, 'Miles Davis', 'Silver', 6000, 90), (4, 'Taylo... | Which artist has the highest average ticket price for their concerts? | SELECT artist, AVG(price) as avg_price FROM Concerts GROUP BY artist ORDER BY avg_price DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (id INT, name TEXT, type TEXT, revenue FLOAT); INSERT INTO Restaurants (id, name, type, revenue) VALUES (1, 'Restaurant A', 'Italian', 5000.00), (2, 'Restaurant B', 'Chinese', 6000.00), (3, 'Restaurant C', 'Chinese', 9000.00); | What is the average revenue for restaurants serving Chinese food? | SELECT AVG(revenue) FROM Restaurants WHERE type = 'Chinese'; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_efficiency (technology VARCHAR(255), year INT, improvement FLOAT); | What was the maximum energy efficiency improvement (in %) for any technology in 2021? | SELECT MAX(improvement) FROM energy_efficiency WHERE year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (id INT, name VARCHAR(50), type VARCHAR(50), country VARCHAR(50)); INSERT INTO organizations (id, name, type, country) VALUES (1, 'Accessible AI', 'Non-profit', 'USA'), (2, 'Tech for Social Good', 'Non-governmental', 'India'), (3, 'Digital Divide Initiative', 'Non-profit', 'Brazil'); | Update the 'name' of organization with 'id' 2 to 'Tech for Social Good Org' | UPDATE organizations SET name = 'Tech for Social Good Org' WHERE id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE investigative_reports (id INT, title VARCHAR(255), author VARCHAR(255), publication_date DATE, word_count INT); | Who are the top 3 authors with the highest average word count per article in the 'investigative_reports' table? | SELECT author, AVG(word_count) as avg_word_count FROM investigative_reports GROUP BY author ORDER BY avg_word_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, Country TEXT); INSERT INTO Donors (DonorID, DonorName, Country) VALUES (1, 'John Doe', 'USA'), (2, 'Jane Smith', 'Canada'); CREATE TABLE Donations (DonationID INT, DonorID INT, DonationAmount DECIMAL); INSERT INTO Donations (DonationID, DonorID, DonationAmount) VALUES (... | What's the total amount donated by individual donors from the USA and Canada? | SELECT SUM(DonationAmount) FROM Donations D JOIN Donors DON ON D.DonorID = DON.DonorID WHERE DON.Country IN ('USA', 'Canada'); | gretelai_synthetic_text_to_sql |
CREATE TABLE military_personnel (id INT, personnel_name VARCHAR(255), region VARCHAR(255), rank VARCHAR(255), personnel_date DATE); | How many military personnel are stationed in each region based on the 'military_personnel' table? | SELECT region, COUNT(*) as personnel_count FROM military_personnel GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_parks (name VARCHAR(255), city VARCHAR(255), area FLOAT); INSERT INTO public_parks (name, city, area) VALUES ('Central Park', 'New York', 341.0), ('Prospect Park', 'New York', 526.0), ('Washington Square Park', 'New York', 9.75); | What is the total number of public parks in New York City and the total area they cover? | SELECT SUM(area) AS total_area, 'New York' AS city FROM public_parks WHERE city = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_pricing (region VARCHAR(20), price DECIMAL(5,2));CREATE TABLE energy_efficiency (region VARCHAR(20), efficiency INT); | List the carbon pricing for regions with the highest energy efficiency in 2021 | SELECT c.region, c.price FROM carbon_pricing c JOIN (SELECT region FROM energy_efficiency WHERE efficiency = (SELECT MAX(efficiency) FROM energy_efficiency) LIMIT 1) e ON c.region = e.region; | gretelai_synthetic_text_to_sql |
CREATE TABLE budgets (id INT, city VARCHAR, department VARCHAR, year INT, budget FLOAT); INSERT INTO budgets (id, city, department, year, budget) VALUES (1, 'Los Angeles', 'Education', 2021, 1000000.00); | What is the total budget of the department of education in the city of Los Angeles in 2021? | SELECT SUM(budget) FROM budgets WHERE city = 'Los Angeles' AND department = 'Education' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_consumption (country VARCHAR(255), sector VARCHAR(255), consumption INT); INSERT INTO energy_consumption (country, sector, consumption) VALUES ('Brazil', 'Residential', 5000), ('Brazil', 'Commercial', 7000), ('Brazil', 'Industrial', 10000); | What is the total energy consumption in Brazil by sector (residential, commercial, industrial)? | SELECT SUM(consumption) FROM energy_consumption WHERE country = 'Brazil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (id INT PRIMARY KEY, name VARCHAR(50), age INT, sport VARCHAR(50)); | Delete the sport column from the players table | ALTER TABLE players DROP COLUMN sport; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (artist_id INT, artist_name VARCHAR(100), genre VARCHAR(50)); INSERT INTO artists (artist_id, artist_name, genre) VALUES (1, 'Dolly Parton', 'country'), (2, 'Garth Brooks', 'country'), (3, 'Shania Twain', 'country'), (4, 'Johnny Cash', 'country'), (5, 'Taylor Swift', 'country'), (6, 'Carrie Underwo... | How many unique artists are there in the country genre? | SELECT COUNT(DISTINCT artists.artist_name) as num_artists FROM artists JOIN songs ON artists.artist_id = songs.artist_id WHERE artists.genre = 'country'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (PolicyholderID INT, Age INT, Country VARCHAR(20)); INSERT INTO Policyholders (PolicyholderID, Age, Country) VALUES (1, 25, 'USA'), (2, 30, 'USA'), (3, 45, 'Canada'), (4, 50, 'Canada'), (5, 60, 'Mexico'); | What is the policy count for policyholders in each age group, in 5-year intervals, for policyholders in each country? | SELECT Country, FLOOR(Age / 5) * 5 AS AgeGroup, COUNT(*) AS PolicyCount FROM Policyholders GROUP BY Country, AgeGroup; | gretelai_synthetic_text_to_sql |
CREATE TABLE MarineLife (id INT, ocean_id INT, species VARCHAR(50), biomass INT); INSERT INTO MarineLife (id, ocean_id, species, biomass) VALUES (1, 1, 'Blue Whale', 190000), (2, 1, 'Fin Whale', 74000), (3, 2, 'Sperm Whale', 57000), (4, 2, 'Humpback Whale', 36000); | What is the total biomass of all whale species in the Atlantic Ocean? | SELECT SUM(MarineLife.biomass) FROM MarineLife JOIN Oceans ON MarineLife.ocean_id = Oceans.id WHERE Oceans.name = 'Atlantic' AND MarineLife.species LIKE '%Whale%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE TVShows (id INT, title VARCHAR(100), genre VARCHAR(20), viewers INT, budget FLOAT, revenue FLOAT); | What's the total revenue for TV shows in the 'Drama' genre? | SELECT SUM(revenue) FROM TVShows WHERE genre = 'Drama'; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecrafts (id INT, name VARCHAR(50), launches INT, failures INT); INSERT INTO spacecrafts VALUES (1, 'Dragon', 30, 2); INSERT INTO spacecrafts VALUES (2, 'Falcon', 15, 0); | What is the failure rate of each spacecraft model? | SELECT name, (failures * 100 / launches) as failure_rate FROM spacecrafts; | gretelai_synthetic_text_to_sql |
CREATE TABLE PolicyTypes (PolicyTypeID INT, PolicyType TEXT); INSERT INTO PolicyTypes (PolicyTypeID, PolicyType) VALUES (1, 'Home'), (2, 'Auto'), (3, 'Life'); CREATE TABLE Policyholders (PolicyholderID INT, PolicyholderName TEXT, PolicyTypeID INT); INSERT INTO Policyholders (PolicyholderID, PolicyholderName, PolicyType... | List all policy types that have no claims, ordered by policy type. | SELECT PolicyTypes.PolicyType FROM PolicyTypes LEFT JOIN Policyholders ON PolicyTypes.PolicyTypeID = Policyholders.PolicyTypeID LEFT JOIN Claims ON Policyholders.PolicyholderID = Claims.PolicyholderID WHERE Claims.ClaimID IS NULL GROUP BY PolicyTypes.PolicyType ORDER BY PolicyTypes.PolicyType; | gretelai_synthetic_text_to_sql |
CREATE TABLE disaster_preparedness (id INT, resource VARCHAR(255), location VARCHAR(255), quantity INT, timestamp TIMESTAMP); INSERT INTO disaster_preparedness (id, resource, location, quantity, timestamp) VALUES (1, 'Water', 'Miami', 500, '2021-01-05 11:00:00'); INSERT INTO disaster_preparedness (id, resource, locatio... | Identify the disaster resources with the highest and lowest quantities? | SELECT resource, MIN(quantity) as lowest, MAX(quantity) as highest FROM disaster_preparedness GROUP BY resource; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_research_projects (project_name TEXT, org_name TEXT); INSERT INTO marine_research_projects (project_name, org_name) VALUES ('Project 1', 'Ocean Discoverers'), ('Project 2', 'Ocean Discoverers'), ('Project 3', 'Ocean Explorers'); | How many marine research projects does the "Ocean Discoverers" organization have in total? | SELECT COUNT(*) FROM marine_research_projects WHERE org_name = 'Ocean Discoverers'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Customers (CustomerID int, CustomerName varchar(50), PreferredCategory varchar(50)); INSERT INTO Customers (CustomerID, CustomerName, PreferredCategory) VALUES (1, 'SustainableSam', 'Women''s Dresses'); INSERT INTO Customers (CustomerID, CustomerName, PreferredCategory) VALUES (2, 'EcoElla', 'Men''s Shirts... | Show the total number of unique customers who have purchased sustainable clothing items, grouped by their preferred clothing category. | SELECT c.PreferredCategory, COUNT(DISTINCT o.CustomerID) as TotalCustomers FROM Customers c INNER JOIN Orders o ON c.CustomerID = o.CustomerID WHERE o.Sustainable = true GROUP BY c.PreferredCategory; | gretelai_synthetic_text_to_sql |
CREATE TABLE VesselCargo (VesselID INT, CargoID INT); INSERT INTO VesselCargo (VesselID, CargoID) VALUES (1, 1), (2, 2), (3, NULL), (4, 4); | Find vessels that have never loaded cargo. | SELECT VesselID FROM VesselCargo WHERE CargoID IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE OceanPollution (PollutantID INT, Pollutant VARCHAR(255), Source VARCHAR(255), Quantity FLOAT, Location VARCHAR(255)); | Insert new data into the 'OceanPollution' table | INSERT INTO OceanPollution (PollutantID, Pollutant, Source, Quantity, Location) VALUES (1, 'Oil', 'Offshore Drilling', 150.5, 'Gulf of Mexico'); | gretelai_synthetic_text_to_sql |
CREATE TABLE policy_start_date (policy_id INT, policy_start_date DATE); CREATE TABLE policies (policy_id INT, policyholder_id INT); INSERT INTO policy_start_date VALUES (1, '2019-01-01'); INSERT INTO policies VALUES (1, 1); | What is the minimum policy start date by policyholder state? | SELECT policyholder_state, MIN(policy_start_date) as min_policy_start_date FROM policies JOIN policy_start_date ON policies.policy_id = policy_start_date.policy_id JOIN policyholder_state ON policies.policyholder_id = policyholder_state.policyholder_id GROUP BY policyholder_state; | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_practices (id INT PRIMARY KEY, hotel_name VARCHAR(255), country VARCHAR(255), practice VARCHAR(255)); | Add a new record to the sustainable_practices table | INSERT INTO sustainable_practices (id, hotel_name, country, practice) VALUES (1, 'Eco-Friendly Hotel', 'Sweden', 'Recycling program'); | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity (id INT, region VARCHAR(255), year INT, capacity INT); INSERT INTO landfill_capacity (id, region, year, capacity) VALUES (1, 'Asia', 2019, 20000), (2, 'Asia', 2020, 22000), (3, 'Europe', 2019, 18000), (4, 'Europe', 2020, 20000); | What is the change in landfill capacity for each region between 2019 and 2020? | SELECT region, (capacity - LAG(capacity) OVER (PARTITION BY region ORDER BY year)) AS change FROM landfill_capacity; | gretelai_synthetic_text_to_sql |
CREATE TABLE Products (Product_ID INT, Product_Name TEXT, Is_Cruelty_Free BOOLEAN, Is_Vegan BOOLEAN); INSERT INTO Products (Product_ID, Product_Name, Is_Cruelty_Free, Is_Vegan) VALUES (1, 'Lush Dream Cream', true, true), (2, 'Estée Lauder Double Wear Foundation', false, false), (3, 'The Body Shop Vitamin E Moisture Cre... | What are the average ratings for cosmetic products that are both cruelty-free and vegan? | SELECT AVG(R.Rating) FROM Products P INNER JOIN Ratings R ON P.Product_ID = R.Product_ID WHERE P.Is_Cruelty_Free = true AND P.Is_Vegan = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_building_projects (id INT, project_name VARCHAR(50), city VARCHAR(50), country VARCHAR(50), investment FLOAT); INSERT INTO green_building_projects (id, project_name, city, country, investment) VALUES (1, 'Vancouver Green Building', 'Vancouver', 'Canada', 35000000); | What is the total investment in green building projects in Vancouver, Canada? | SELECT SUM(investment) FROM green_building_projects WHERE city = 'Vancouver' AND country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE views (id INT, article_id INT, region VARCHAR(30), views INT); INSERT INTO views (id, article_id, region, views) VALUES (1, 1, 'asia', 1000), (2, 2, 'europe', 500), (3, 3, 'asia', 2000); | What is the maximum number of views for articles published in 'asia' region? | SELECT MAX(views) FROM views WHERE region = 'asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_items (menu_item_id INT, menu_item_name VARCHAR(50), category VARCHAR(50), price FLOAT, quantity_sold INT); INSERT INTO menu_items (menu_item_id, menu_item_name, category, price, quantity_sold) VALUES (1, 'Burger', 'Main Course', 12.99, 1500); | Which menu items have the lowest and highest quantity sold, and what is the price of these items? | SELECT menu_item_name, price, quantity_sold, RANK() OVER (ORDER BY quantity_sold) FROM menu_items; | gretelai_synthetic_text_to_sql |
CREATE TABLE Facility(Id INT, Name VARCHAR(50), Location VARCHAR(50)); CREATE TABLE SafetyIncident(Id INT, FacilityId INT, IncidentDate DATE); | How many safety incidents were reported by each facility, in total and per month? | SELECT f.Name, COUNT(si.Id) AS TotalIncidents, DATE_FORMAT(si.IncidentDate, '%Y-%m') AS Month, COUNT(si.Id) AS MonthlyIncidents FROM SafetyIncident si JOIN Facility f ON si.FacilityId = f.Id GROUP BY f.Name, Month WITH ROLLUP; | gretelai_synthetic_text_to_sql |
CREATE TABLE student_mental_health (student_id INT, mental_health_score INT, date DATE); INSERT INTO student_mental_health (student_id, mental_health_score, date) VALUES (1, 80, '2021-09-01'), (2, 85, '2021-09-01'), (3, 70, '2021-09-02'); | What is the average mental health score of students in 'Fall 2021'? | SELECT AVG(mental_health_score) FROM student_mental_health WHERE date = '2021-09-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE legal_aid_services (service_id INT, service_name VARCHAR(25), location VARCHAR(30), access_date DATE); | How many individuals have accessed legal aid services in the 'legal_aid_services' table? | SELECT COUNT(*) FROM legal_aid_services; | gretelai_synthetic_text_to_sql |
CREATE TABLE UnionMembers (id INT, name VARCHAR(50), union_name VARCHAR(50), membership_start_date DATE, membership_end_date DATE); INSERT INTO UnionMembers (id, name, union_name, membership_start_date, membership_end_date) VALUES (1, 'John Doe', 'Union A', '2020-01-01', '2022-01-01'); | Delete records of members who left before 2020 from Union Members table | DELETE FROM UnionMembers WHERE membership_end_date < '2020-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SatelliteDeploymentsByType (id INT, organization VARCHAR(50), satellite_type VARCHAR(50), deployment_year INT); INSERT INTO SatelliteDeploymentsByType (id, organization, satellite_type, deployment_year) VALUES (1, 'NASA', 'Communications', 2010), (2, 'NASA', 'Earth Observation', 2015), (3, 'SpaceX', 'Commu... | What is the distribution of satellite deployments by organization and type? | SELECT organization, satellite_type, deployment_year, COUNT(*) as total_deployments FROM SatelliteDeploymentsByType GROUP BY organization, satellite_type, deployment_year ORDER BY organization, satellite_type, deployment_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE daily_deliveries (delivery_id INT, item_count INT, delivery_date DATE, location VARCHAR(50)); INSERT INTO daily_deliveries (delivery_id, item_count, delivery_date, location) VALUES (1, 5, '2021-01-01', 'Oceania'), (2, 10, '2021-01-02', 'Oceania'); | What is the minimum number of items delivered per day for 'daily_deliveries' table for 'Oceania' in the year 2021? | SELECT MIN(item_count) FROM daily_deliveries WHERE EXTRACT(YEAR FROM delivery_date) = 2021 AND location = 'Oceania'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Investors (InvestorID INT, Gender VARCHAR(10), Amount INT); INSERT INTO Investors (InvestorID, Gender, Amount) VALUES (1, 'Male', 5000), (2, 'Female', 7000), (3, 'Non-binary', 6000); | What is the total amount of investments made by different genders? | SELECT Gender, SUM(Amount) as TotalInvestment FROM Investors GROUP BY Gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_maintenance (maintenance_id INT, route_id INT, maintenance_date DATE); | Determine the average time between vehicle maintenance for each route | SELECT routes.route_name, AVG(DATEDIFF(day, LAG(maintenance_date, 1) OVER (PARTITION BY route_id ORDER BY maintenance_date), maintenance_date)) AS average_days_between_maintenance FROM vehicle_maintenance JOIN routes ON vehicle_maintenance.route_id = routes.route_id GROUP BY routes.route_id, routes.route_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE ev_research (id INT, region VARCHAR(50), funding FLOAT); INSERT INTO ev_research VALUES (1, 'Asia', 3000000); INSERT INTO ev_research VALUES (2, 'North America', 4000000); | Get total funding for electric vehicle adoption statistics research in Asia | SELECT SUM(funding) FROM ev_research WHERE region = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Port_Rotterdam_Crane_Stats (crane_name TEXT, handling_date DATE, containers_handled INTEGER); INSERT INTO Port_Rotterdam_Crane_Stats (crane_name, handling_date, containers_handled) VALUES ('CraneI', '2021-04-01', 70), ('CraneJ', '2021-04-02', 60), ('CraneK', '2021-04-03', 50), ('CraneL', '2021-04-04', 80); | What is the minimum number of containers handled in a single day by cranes in the Port of Rotterdam in April 2021? | SELECT MIN(containers_handled) FROM Port_Rotterdam_Crane_Stats WHERE handling_date >= '2021-04-01' AND handling_date <= '2021-04-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, industry TEXT, founders TEXT); INSERT INTO company (id, industry, founders) VALUES (1, 'e-commerce', 'female'), (2, 'fintech', 'male, female'), (3, 'e-commerce', 'non-binary'), (4, 'healthcare', 'male, female, female'), (5, 'e-commerce', 'male'), (6, 'transportation', 'male, female, non-bi... | What is the average number of investment rounds for companies founded by women in the "e-commerce" sector? | SELECT AVG(total_rounds) FROM (SELECT company.id, COUNT(round_data.round) AS total_rounds FROM company LEFT JOIN round_data ON company.id = round_data.company_id WHERE company.industry = 'e-commerce' AND founders LIKE '%female%' GROUP BY company.id) AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE StateCropYield (state VARCHAR(20), crop VARCHAR(20), quantity INT, price FLOAT); | What was the total production of 'Corn' and 'Soybeans' in each state in 'StateCropYield' table? | SELECT state, SUM(CASE WHEN crop = 'Corn' THEN quantity ELSE 0 END) + SUM(CASE WHEN crop = 'Soybeans' THEN quantity ELSE 0 END) as total_corn_soybeans FROM StateCropYield GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE athletes (id INT PRIMARY KEY, name VARCHAR(100), age INT, sport VARCHAR(50)); CREATE TABLE teams (id INT PRIMARY KEY, name VARCHAR(100), sport VARCHAR(50)); | What is the total number of athletes in each sport in the 'athletes' table? | SELECT t.sport, COUNT(a.id) as total_athletes FROM athletes a JOIN teams t ON a.sport = t.sport GROUP BY t.sport; | gretelai_synthetic_text_to_sql |
CREATE TABLE tennis_tickets (ticket_id INT, match_id INT, price DECIMAL(5,2), date DATE); | Update the ticket price for tennis matches in the 'tennis_tickets' table in June to 75? | UPDATE tennis_tickets SET price = 75 WHERE MONTH(date) = 6; | gretelai_synthetic_text_to_sql |
CREATE TABLE Startups (startup_id INT, startup_name TEXT, industry TEXT, total_funding FLOAT, region TEXT); CREATE VIEW BiotechStartups AS SELECT * FROM Startups WHERE industry = 'Biotech'; CREATE VIEW MiddleEastStartups AS SELECT * FROM Startups WHERE region = 'Middle East'; | What is the minimum funding amount for biotech startups in the Middle East? | SELECT MIN(total_funding) FROM BiotechStartups INNER JOIN MiddleEastStartups ON BiotechStartups.startup_id = MiddleEastStartups.startup_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, FirstName VARCHAR(50), LastName VARCHAR(50), Department VARCHAR(50), Position VARCHAR(50), LGBTQ INT); INSERT INTO Employees (EmployeeID, FirstName, LastName, Department, Position, LGBTQ) VALUES (1, 'John', 'Doe', 'IT', 'Developer', 1), (2, 'Jane', 'Smith', 'IT', 'Developer', 0),... | What is the total number of employees in each department, and what percentage of them identify as LGBTQ+? | SELECT Employees.Department, COUNT(Employees.EmployeeID) AS Total_Employees, (SUM(Employees.LGBTQ) / COUNT(Employees.EmployeeID)) * 100 AS Percentage_LGBTQ FROM Employees GROUP BY Employees.Department; | gretelai_synthetic_text_to_sql |
CREATE TABLE Game_Library (player_id INT, name VARCHAR(50), age INT, gender VARCHAR(10)); INSERT INTO Game_Library (player_id, name, age, gender) VALUES (1, 'John Doe', 25, 'Male'), (2, 'Jane Smith', 30, 'Female'), (3, 'Alice Johnson', 35, 'Female'), (4, 'Bob Brown', 28, 'Male'), (5, 'Charlie Davis', 22, 'Male'); | Find the average age of players who have played any game. | SELECT AVG(age) FROM Game_Library; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT, name TEXT, city TEXT, state TEXT, beds INT); INSERT INTO hospitals (id, name, city, state, beds) VALUES (1, 'General Hospital', 'Miami', 'Florida', 500); INSERT INTO hospitals (id, name, city, state, beds) VALUES (2, 'Memorial Hospital', 'Boston', 'Massachusetts', 600); | What is the average number of beds in hospitals and total number of beds by state? | SELECT state, AVG(beds) as avg_beds, SUM(beds) as total_beds FROM hospitals GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE country_production (country VARCHAR(50), element VARCHAR(10), year INT, quantity INT); INSERT INTO country_production (country, element, year, quantity) VALUES ('Australia', 'Dy', 2016, 750), ('China', 'Tm', 2016, 500), ('Mongolia', 'Dy', 2016, 600), ('India', 'Tm', 2016, 650); | Which countries produced the most Tm and Dy in 2016? | SELECT cp.country, cp.element, SUM(cp.quantity) as total_quantity FROM country_production cp WHERE cp.year = 2016 AND cp.element IN ('Tm', 'Dy') GROUP BY cp.country, cp.element ORDER BY total_quantity DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, FirstName VARCHAR(50), LastName VARCHAR(50), Country VARCHAR(50), Salary DECIMAL(10,2)); INSERT INTO Employees (EmployeeID, FirstName, LastName, Country, Salary) VALUES (1, 'John', 'Doe', 'USA', 50000.00); INSERT INTO Employees (EmployeeID, FirstName, LastName, Country, Salary) V... | Display the average salary for employees, by country, and sort the results by the average salary in descending order | SELECT Country, AVG(Salary) as AverageSalary FROM Employees GROUP BY Country ORDER BY AverageSalary DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Suppliers (SupplierID varchar(10), SupplierName varchar(20)); INSERT INTO Suppliers VALUES ('B', 'Supplier B'); CREATE TABLE Inspections (InspectionID int, InspectionDate date, SupplierID varchar(10), Failed bit); INSERT INTO Inspections VALUES (1, '2022-01-01', 'B', 1), (2, '2022-02-01', 'B', 0), (3, '202... | How many times has supplier B had a failed inspection? | SELECT COUNT(*) FROM Inspections WHERE SupplierID = 'B' AND Failed = 1; | gretelai_synthetic_text_to_sql |
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