context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE CityWaste (CityName VARCHAR(50), WasteQuantity INT, WasteYear INT); INSERT INTO CityWaste (CityName, WasteQuantity, WasteYear) VALUES ('CityA', 12000, 2018), ('CityB', 15000, 2018), ('CityC', NULL, 2018), ('CityD', 18000, 2018); | List all the cities and their total waste generation quantities for 2018, excluding records that have missing data? | SELECT CityName, SUM(WasteQuantity) FROM CityWaste WHERE WasteYear = 2018 AND WasteQuantity IS NOT NULL GROUP BY CityName; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(255), country VARCHAR(255), language VARCHAR(10)); CREATE TABLE posts (id INT, user_id INT, content TEXT, created_at TIMESTAMP); | Get the top 2 languages with the most posts related to AI. | SELECT posts.language, COUNT(posts.id) AS posts_count FROM posts JOIN users ON users.id = posts.user_id WHERE posts.content LIKE '%AI%' GROUP BY posts.language ORDER BY posts_count DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholders (id INT, name TEXT, age INT, gender TEXT, state TEXT); INSERT INTO policyholders (id, name, age, gender, state) VALUES (1, 'John Doe', 35, 'Male', 'Texas'); INSERT INTO policyholders (id, name, age, gender, state) VALUES (2, 'Jane Smith', 42, 'Female', 'Texas'); INSERT INTO policyholders (id,... | What is the average age of policyholders in 'Texas'? | SELECT AVG(policyholders.age) AS avg_age FROM policyholders WHERE policyholders.state = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EducationProjects (ProjectID INT, Name VARCHAR(100), Budget DECIMAL(10,2), Year INT, State VARCHAR(50)); INSERT INTO EducationProjects (ProjectID, Name, Budget, Year, State) VALUES (1, 'School Construction', 10000000, 2020, 'New York'), (2, 'Teacher Training', 500000, 2019, 'New York'), (3, 'Education Tech... | What is the total budget allocated to all education projects in the state of New York in the year 2020? | SELECT SUM(Budget) FROM EducationProjects WHERE Year = 2020 AND State = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_centers (name VARCHAR(255), opening_hours VARCHAR(255), location VARCHAR(255)); INSERT INTO cultural_centers (name, opening_hours, location) VALUES ('Native American Cultural Center', '09:00-17:00', 'New Mexico'), ('Asian Cultural Center', '10:00-18:00', 'New York'); | What are the opening hours and locations of all cultural centers in the 'culture' schema? | SELECT name, opening_hours, location FROM culture.cultural_centers; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouse (id INT, location VARCHAR(255), capacity INT); INSERT INTO warehouse (id, location, capacity) VALUES (1, 'warehouse1', 5000), (2, 'warehouse2', 7000); CREATE TABLE freight (id INT, warehouse_id INT, volume INT, destination VARCHAR(255), shipped_date DATE); INSERT INTO freight (id, warehouse_id, v... | What is the total volume of freight forwarded to Asia from 'warehouse2' in Q3 2021? | SELECT SUM(volume) FROM freight WHERE warehouse_id = 2 AND destination LIKE 'Asia%' AND shipped_date BETWEEN '2021-07-01' AND '2021-12-31' AND EXTRACT(QUARTER FROM shipped_date) = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (id INT, name VARCHAR(255)); INSERT INTO regions (id, name) VALUES (1, 'Region1'); CREATE TABLE schools (id INT, region_id INT, name VARCHAR(255)); CREATE TABLE hospitals (id INT, region_id INT, name VARCHAR(255)); | Find the number of schools and hospitals in each region, and their sum | SELECT r.name, COUNT(s.id) AS school_count, COUNT(h.id) AS hospital_count, COUNT(s.id) + COUNT(h.id) AS total FROM regions r | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_generation (country VARCHAR(50), year INT, waste_amount FLOAT); INSERT INTO waste_generation (country, year, waste_amount) VALUES ('Canada', 2020, 1200.5), ('Mexico', 2020, 1500.3), ('USA', 2020, 2000.0), ('Brazil', 2020, 1800.2), ('Argentina', 2020, 1300.9); | What is the total waste generation in gram for each country in 2020, sorted by the highest amount? | SELECT country, SUM(waste_amount) FROM waste_generation WHERE year = 2020 GROUP BY country ORDER BY SUM(waste_amount) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, customer_name VARCHAR(50), state VARCHAR(20), risk_level VARCHAR(10)); INSERT INTO customers (customer_id, customer_name, state, risk_level) VALUES (1, 'John Doe', 'FL', 'medium'), (2, 'Jane Smith', 'NY', 'medium'); | What is the average risk level for customers in Florida? | SELECT AVG(CASE WHEN risk_level = 'high' THEN 3 WHEN risk_level = 'medium' THEN 2 WHEN risk_level = 'low' THEN 1 END) FROM customers WHERE state = 'FL'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Archaeologists (ArchaeologistID INT PRIMARY KEY, Name VARCHAR(255), Age INT, Specialization VARCHAR(255)); INSERT INTO Archaeologists (ArchaeologistID, Name, Age, Specialization) VALUES (6, 'Marie-Louise von Plessen', 72, 'Underwater Archaeology'), (7, 'Francesco Bandelli', 55, 'Historical Archaeology'), (... | Who are the archaeologists specializing in 'Underwater Archaeology'? | SELECT * FROM Archaeologists WHERE Specialization = 'Underwater Archaeology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Field17 (sensor_id INT, sensor_name VARCHAR(50), sensor_type VARCHAR(50), data DATETIME); INSERT INTO Field17 (sensor_id, sensor_name, sensor_type, data) VALUES (1, 'TemperatureSensor1', 'Temperature', '2021-06-16 10:00:00'), (2, 'TemperatureSensor2', 'Temperature', '2021-06-14 12:45:00'); CREATE TABLE Fie... | Which temperature sensors in 'Field17' and 'Field18' have recorded data between '2021-06-15' and '2021-06-30'? | SELECT DISTINCT sensor_name FROM Field17 WHERE data BETWEEN '2021-06-15' AND '2021-06-30' UNION SELECT DISTINCT sensor_name FROM Field18 WHERE data BETWEEN '2021-06-15' AND '2021-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (artist_id INT PRIMARY KEY, name VARCHAR(100), birth_date DATE, death_date DATE, nationality VARCHAR(50)); CREATE TABLE artworks (artwork_id INT PRIMARY KEY, title VARCHAR(100), year INT, artist_id INT, art_medium VARCHAR(50), FOREIGN KEY (artist_id) REFERENCES artists(artist_id)); | List all unique art mediums used in the artworks | SELECT DISTINCT art_medium FROM artworks; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_city_features (city VARCHAR(50), feature VARCHAR(50)); INSERT INTO smart_city_features (city, feature) VALUES ('CityA', 'Smart Lighting'), ('CityA', 'Smart Transportation'), ('CityB', 'Smart Waste Management'), ('CityB', 'Smart Grid'); | How many smart city features does each city have? | SELECT city, COUNT(feature) FROM smart_city_features GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE businesses (id INT, name TEXT, industry TEXT, ownership TEXT, funding FLOAT); INSERT INTO businesses (id, name, industry, ownership, funding) VALUES (1, 'EnergyCo', 'Energy', 'Majority', 350000.00); INSERT INTO businesses (id, name, industry, ownership, funding) VALUES (2, 'TechCo', 'Technology', 'Minority... | What is the average amount of funding allocated to businesses in the Energy sector? | SELECT AVG(funding) FROM businesses WHERE industry = 'Energy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE victims (id INT, name TEXT, state TEXT); CREATE TABLE restorative_justice_services (id INT, victim_id INT, service_type TEXT); INSERT INTO victims (id, name, state) VALUES (1, 'Olivia Johnson', 'Colorado'); INSERT INTO victims (id, name, state) VALUES (2, 'Daniel Lee', 'Colorado'); INSERT INTO victims (id,... | Insert a new restorative justice service (type: 'Peacemaking Circle') for a victim (id: 3) in Colorado. | INSERT INTO restorative_justice_services (id, victim_id, service_type) VALUES (1, 3, 'Peacemaking Circle'); | gretelai_synthetic_text_to_sql |
CREATE TABLE coral_reefs (reef_name TEXT, biomass REAL, region TEXT); | Display the total biomass of coral reefs in the Indo-Pacific region | SELECT SUM(biomass) FROM coral_reefs WHERE region = 'Indo-Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings_timeline (id INT, building_id INT, start_date DATE); | Calculate the total annual energy savings for green buildings constructed in 2020 | SELECT SUM(green_buildings.annual_energy_savings_kWh) FROM green_buildings JOIN green_buildings_timeline ON green_buildings.id = green_buildings_timeline.building_id WHERE green_buildings_timeline.start_date >= '2020-01-01' AND green_buildings_timeline.start_date < '2021-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farm_sizes (id INT, size INT, country VARCHAR(255)); INSERT INTO farm_sizes (id, size, country) VALUES (1, 2, 'India'); | What is the minimum area required for a sustainable farm in India? | SELECT MIN(size) FROM farm_sizes WHERE country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists animal_population (id INT, animal VARCHAR(255), country VARCHAR(255), population INT); INSERT INTO animal_population (id, animal, country, population) VALUES (1, 'Tiger', 'India', 2500), (2, 'Tiger', 'Bangladesh', 150), (3, 'Elephant', 'India', 5000), (4, 'Elephant', 'Sri Lanka', 2500); | Calculate the average population of each animal | SELECT animal, AVG(population) FROM animal_population GROUP BY animal; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name VARCHAR(255), league VARCHAR(255));CREATE TABLE players (player_id INT, player_name VARCHAR(255), position VARCHAR(50), team_id INT, birth_date DATE); INSERT INTO teams VALUES (1, 'Liverpool', 'English Premier League'); INSERT INTO players VALUES (1, 'Alisson Becker', 'Goalkee... | What is the average age of football players in the English Premier League by position? | SELECT position, AVG(YEAR(CURRENT_DATE) - YEAR(birth_date)) AS avg_age FROM players JOIN teams ON players.team_id = teams.team_id WHERE teams.league = 'English Premier League' GROUP BY position; | gretelai_synthetic_text_to_sql |
CREATE TABLE SportsTeamPerformance (id INT, team_name VARCHAR(255), win_rate DECIMAL(5,2), avg_fan_age INT); INSERT INTO SportsTeamPerformance (id, team_name, win_rate, avg_fan_age) VALUES (1, 'TeamA', 0.75, 32), (2, 'TeamB', 0.62, 40), (3, 'TeamC', 0.58, 38); CREATE TABLE FanDemographics (id INT, name VARCHAR(255), ge... | Which sports teams had a win rate greater than 60% and an average fan age above 35? | SELECT team_name FROM SportsTeamPerformance WHERE win_rate > 0.6 AND (SELECT AVG(fan_age) FROM FanDemographics WHERE team_name = SportsTeamPerformance.team_name) > 35; | gretelai_synthetic_text_to_sql |
CREATE TABLE company_innovation (company_id INT, founding_year INT, patent_count INT); INSERT INTO company_innovation (company_id, founding_year, patent_count) VALUES (1, 2009, 3), (2, 2011, 1), (3, 2008, 2), (4, 2010, 4); | How many patents were filed by companies founded before 2010? | SELECT founding_year, SUM(patent_count) FROM company_innovation WHERE founding_year < 2010 GROUP BY founding_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (Id INT, Name VARCHAR(100), Country VARCHAR(50), Game VARCHAR(50)); INSERT INTO Players VALUES (1, 'Player1', 'USA', 'GameX'), (2, 'Player2', 'Canada', 'GameY'), (3, 'Player3', 'USA', 'GameZ'), (4, 'Player4', 'Mexico', 'GameX'), (5, 'Player5', 'Canada', 'GameY'), (6, 'Player6', 'USA', 'GameW'), (7,... | How many players are there in each country playing 'Simulation' games? | SELECT p.Country, COUNT(*) AS Players_Count FROM Players p JOIN Games g ON p.Game = g.Name WHERE g.Genre = 'Simulation' GROUP BY p.Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE LegalTechnologyGrants (ID INT, GrantID VARCHAR(20), District VARCHAR(20), Amount INT, Year INT); INSERT INTO LegalTechnologyGrants (ID, GrantID, District, Amount, Year) VALUES (1, 'LTG2016', 'North Valley', 15000, 2016), (2, 'LTG2017', 'East River', 20000, 2017), (3, 'LTG2018', 'North Valley', 10000, 2018)... | How many legal technology grants were awarded to organizations in 'North Valley' justice district? | SELECT COUNT(*) FROM LegalTechnologyGrants WHERE District = 'North Valley'; | gretelai_synthetic_text_to_sql |
CREATE TABLE neighborhoods (name VARCHAR(50), id INT, PRIMARY KEY (id)); INSERT INTO neighborhoods (name, id) VALUES ('Brewerytown', 1), ('Fairmount', 2); CREATE TABLE properties (id INT, neighborhood_id INT, price FLOAT, livable_square_feet INT, PRIMARY KEY (id), FOREIGN KEY (neighborhood_id) REFERENCES neighborhoods(... | What is the average property price per square foot in each neighborhood? | SELECT neighborhood_id, AVG(price/livable_square_feet) AS avg_price_per_sqft FROM properties GROUP BY neighborhood_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE capacity (country VARCHAR(255), technology VARCHAR(255), year INT, capacity FLOAT); | What is the total installed capacity (in MW) for wind and solar power plants by country as of 2020? | SELECT country, SUM(capacity) FROM capacity WHERE year = 2020 AND technology IN ('wind', 'solar') GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Paintings (PaintingID INT, Title VARCHAR(50), ArtistID INT, YearCreated INT, Movement VARCHAR(50)); INSERT INTO Paintings (PaintingID, Title, ArtistID, YearCreated, Movement) VALUES (1, 'Starry Night', 1, 1889, 'Post-Impressionism'); INSERT INTO Paintings (PaintingID, Title, ArtistID, YearCreated, Movement... | Find all the paintings from the 'Impressionist' movement. | SELECT PaintingID, Title, ArtistID, YearCreated, Movement FROM Paintings WHERE Movement IN ('Impressionism', 'Post-Impressionism'); | gretelai_synthetic_text_to_sql |
CREATE TABLE population (county_id INT, county_name TEXT, population_count INT); INSERT INTO population (county_id, county_name, population_count) VALUES (1, 'County A', 10000), (2, 'County B', 20000), (3, 'County C', 30000); CREATE TABLE physicians (physician_id INT, physician_name TEXT, county_id INT, specialty TEXT)... | What is the number of primary care physicians per capita? | SELECT p.county_name, COUNT(*) FILTER (WHERE p.specialty = 'Primary Care') * 1.0 / p.population_count as ratio FROM physicians p INNER JOIN population pop ON p.county_id = pop.county_id GROUP BY p.county_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE user (user_id INT, username VARCHAR(20), posts INT, created_at DATE); INSERT INTO user (user_id, username, posts, created_at) VALUES (1, 'user1', 10, '2022-01-01'), (2, 'user2', 20, '2022-01-02'), (3, 'user3', 30, '2022-01-03'), (4, 'user4', 40, '2022-01-04'), (5, 'user5', 50, '2022-01-05'), (6, 'user6', 6... | List the top 5 users who have posted the most on Tuesdays in the social_media database. | SELECT user_id, username, SUM(posts) as total_posts FROM user WHERE DATEPART(dw, created_at) = 3 GROUP BY user_id, username ORDER BY total_posts DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE accommodations (id INT, continent VARCHAR(255), eco_certified INT); INSERT INTO accommodations (id, continent, eco_certified) VALUES (1, 'Africa', 1), (2, 'Africa', 1), (3, 'Africa', 1), (4, 'Africa', 0), (5, 'Asia', 1); | Identify the top 3 most eco-certified accommodations in Africa | SELECT continent, SUM(eco_certified) as eco_certified_count FROM accommodations WHERE continent = 'Africa' GROUP BY continent ORDER BY eco_certified_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE freshwater_aquaculture (id INT, name TEXT, region TEXT, dissolved_oxygen FLOAT); INSERT INTO freshwater_aquaculture (id, name, region, dissolved_oxygen) VALUES (1, 'Facility G', 'Great Lakes', 8.1), (2, 'Facility H', 'Great Lakes', 7.9), (3, 'Facility I', 'Mississippi River', 7.5); | What is the average dissolved oxygen level in freshwater aquaculture facilities in the Great Lakes region? | SELECT AVG(dissolved_oxygen) FROM freshwater_aquaculture WHERE region = 'Great Lakes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE eco_accommodations (accom_id INT, accom_name TEXT, location TEXT); INSERT INTO eco_accommodations (accom_id, accom_name, location) VALUES (1, 'Eco Lodge', 'Thailand'), (2, 'Green Villa', 'Indonesia'); | What is the total number of eco-friendly accommodations in Thailand and Indonesia? | SELECT COUNT(*) FROM eco_accommodations WHERE location IN ('Thailand', 'Indonesia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_indicators (id INT, sector TEXT, confidence INT); INSERT INTO threat_indicators (id, sector, confidence) VALUES (1, 'Aviation', 85); INSERT INTO threat_indicators (id, sector, confidence) VALUES (2, 'Aviation', 70); INSERT INTO threat_indicators (id, sector, confidence) VALUES (3, 'Healthcare', 65); | What is the minimum confidence level for threat indicators in the aviation sector globally? | SELECT MIN(confidence) FROM threat_indicators WHERE sector = 'Aviation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE funding(id INT, project VARCHAR(50), date DATE, amount DECIMAL(10,2)); INSERT INTO funding VALUES (1, 'ProjectA', '2022-04-15', 250000.00), (2, 'ProjectB', '2022-06-30', 350000.00), (3, 'ProjectC', '2022-05-28', 300000.00); | What is the average funding per genetic research project in Q2 2022? | SELECT AVG(amount) FROM funding WHERE date BETWEEN '2022-04-01' AND '2022-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, country TEXT, industry TEXT, industry_4_0 BOOLEAN); INSERT INTO companies (id, name, country, industry, industry_4_0) VALUES (1, 'ABC Corp', 'Germany', 'Manufacturing', TRUE), (2, 'DEF Corp', 'France', 'Service', FALSE), (3, 'GHI Corp', 'Germany', 'Manufacturing', FALSE); | List the names of all companies in the manufacturing industry that have implemented industry 4.0 technologies. | SELECT name FROM companies WHERE industry = 'Manufacturing' AND industry_4_0 = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE seattle_water_consumption (id INT, date DATE, household_size INT, water_consumption FLOAT); INSERT INTO seattle_water_consumption (id, date, household_size, water_consumption) VALUES (1, '2021-01-01', 4, 1200.0), (2, '2021-01-02', 3, 900.0); | What is the average monthly water consumption per capita in the city of Seattle over the last year? | SELECT AVG(water_consumption / household_size) FROM seattle_water_consumption WHERE date >= DATEADD(year, -1, CURRENT_DATE) AND city = 'Seattle'; | gretelai_synthetic_text_to_sql |
CREATE TABLE north_american_health_centers (id INT, name VARCHAR(255), patients INT, condition VARCHAR(255)); INSERT INTO north_american_health_centers (id, name, patients, condition) VALUES (1, 'Sunshine Mental Health', 50, 'PTSD'); INSERT INTO north_american_health_centers (id, name, patients, condition) VALUES (2, '... | What is the percentage of patients in mental health treatment centers in North America who have been diagnosed with PTSD? | SELECT 100.0 * SUM(CASE WHEN condition = 'PTSD' THEN patients ELSE 0 END) / SUM(patients) FROM north_american_health_centers; | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_sales (garment_type VARCHAR(20), country VARCHAR(20), year INT, units_sold INT); INSERT INTO garment_sales (garment_type, country, year, units_sold) VALUES ('hoodie', 'India', 2021, 0), ('jacket', 'India', 2021, 0); | Delete all records related to unsold garments in India in 2021. | DELETE FROM garment_sales WHERE country = 'India' AND year = 2021 AND units_sold = 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE Spacecraft (id INT, name VARCHAR(50), manufacturer VARCHAR(50), launch_date DATE); INSERT INTO Spacecraft (id, name, manufacturer, launch_date) VALUES (1, 'Vostok 1', 'Roscosmos', '1961-04-12'), (2, 'Mercury-Redstone 3', 'NASA', '1961-05-05'), (3, 'Sputnik 1', 'Roscosmos', '1957-10-04'); | What are the names of all spacecraft that were launched by Roscosmos? | SELECT s.name FROM Spacecraft s WHERE s.manufacturer = 'Roscosmos'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Workouts (WorkoutID INT, MemberID INT, WorkoutDate DATE, Duration INT); INSERT INTO Workouts (WorkoutID, MemberID, WorkoutDate, Duration) VALUES (1, 3, '2021-01-01', 60), (2, 3, '2021-02-01', 75); | What is the maximum duration of a workout for member 3? | SELECT MAX(Duration) FROM Workouts WHERE MemberID = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farmers (id INT PRIMARY KEY, name VARCHAR(255), age INT, gender VARCHAR(10), location VARCHAR(255), farmer_id INT); CREATE TABLE Equipment (id INT PRIMARY KEY, type VARCHAR(255), model VARCHAR(255), purchased_date DATE, farmer_id INT, FOREIGN KEY (farmer_id) REFERENCES Farmers(farmer_id)); | Which farmers in the US are using outdated tractors? | SELECT Farmers.name, Equipment.type, Equipment.model FROM Farmers INNER JOIN Equipment ON Farmers.farmer_id = Equipment.farmer_id WHERE Farmers.location = 'US' AND Equipment.purchased_date < DATE_SUB(CURRENT_DATE, INTERVAL 10 YEAR) AND Equipment.type = 'tractor'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farm_info (farm_id INT, farm_name VARCHAR(50), location VARCHAR(50)); CREATE TABLE sensor_data (id INT, sensor_id INT, farm_id INT, install_date DATE); INSERT INTO farm_info (farm_id, farm_name, location) VALUES (1, 'Green Acres', 'USA'); INSERT INTO farm_info (farm_id, farm_name, location) VALUES (2, 'Blu... | List all farms utilizing IoT sensors and the number of sensors used in 2020. | SELECT farm_id, COUNT(DISTINCT sensor_id) as sensor_count FROM sensor_data WHERE YEAR(install_date) = 2020 GROUP BY farm_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Attorneys (id INT, name VARCHAR(50), billing_rate DECIMAL(5,2)); CREATE TABLE Cases (id INT, attorney_id INT, precedent VARCHAR(100)); INSERT INTO Attorneys (id, name, billing_rate) VALUES (1, 'Attorney1', 500.00), (2, 'Attorney2', 600.00), (3, 'Attorney3', 700.00); INSERT INTO Cases (id, attorney_id, prec... | What are the legal precedents cited in cases handled by the attorney with the highest billing rate? | SELECT Cases.precedent FROM Cases INNER JOIN Attorneys ON Cases.attorney_id = Attorneys.id WHERE Attorneys.billing_rate = (SELECT MAX(billing_rate) FROM Attorneys); | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (id INT, name VARCHAR(255), location VARCHAR(255), certification_level VARCHAR(50)); | Get the names and certification levels of all the green buildings in the city of Seattle. | SELECT name, certification_level FROM green_buildings WHERE location = 'Seattle'; | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_cost_canada (cost_id INT, country VARCHAR(50), project_type VARCHAR(50), cost FLOAT); INSERT INTO labor_cost_canada (cost_id, country, project_type, cost) VALUES (1, 'Canada', 'Construction', 20000); | What is the average labor cost for construction projects in Canada? | SELECT AVG(cost) FROM labor_cost_canada WHERE country = 'Canada' AND project_type = 'Construction'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_development (id INT, initiative_name VARCHAR(50), number_of_participants INT); INSERT INTO community_development VALUES (1, 'Youth Skills Training', 100), (2, 'Women Empowerment', 120), (3, 'Elderly Care', 80), (4, 'Environmental Conservation', 150), (5, 'Cultural Preservation', 110); | What is the name of the community development initiative with the highest number of participants in the 'community_development' table?; | SELECT initiative_name FROM community_development WHERE number_of_participants = (SELECT MAX(number_of_participants) FROM community_development); | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (id INT PRIMARY KEY, customer_id INT, amount DECIMAL(10,2), transaction_date DATE); INSERT INTO transactions (id, customer_id, amount, transaction_date) VALUES (1, 1, 500.00, '2022-01-01'); INSERT INTO transactions (id, customer_id, amount, transaction_date) VALUES (2, 2, 750.00, '2022-01-02')... | List transactions from the last 30 days | SELECT * FROM transactions t WHERE t.transaction_date >= CURDATE() - INTERVAL 30 DAY; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT, name VARCHAR(255), region VARCHAR(255), training_year INT, training_topic VARCHAR(255)); | Insert a new record for a farmer who received training in 'Agroforestry' in the 'Amazon Basin' region in 2022. | INSERT INTO farmers (id, name, region, training_year, training_topic) VALUES (2, 'Marcia Santos', 'Amazon Basin', 2022, 'Agroforestry'); | gretelai_synthetic_text_to_sql |
CREATE TABLE funding (org_id INT, amount DECIMAL(10,2), funding_date DATE); INSERT INTO funding (org_id, amount, funding_date) VALUES (1, 5000.00, '2020-07-01'), (2, 7000.00, '2020-08-15'), (1, 3000.00, '2020-10-05'); | Which organizations received the most funding in Q3 2020? | SELECT org_id, SUM(amount) AS total_funding FROM funding WHERE QUARTER(funding_date) = 3 AND YEAR(funding_date) = 2020 GROUP BY org_id ORDER BY total_funding DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (RestaurantID int, RestaurantName varchar(255)); CREATE TABLE MenuItems (MenuID int, MenuName varchar(255), RestaurantID int, IsOrganic bit); | Display the number of organic menu items and the percentage of organic menu items for each restaurant. | SELECT R.RestaurantName, COUNT(MI.MenuID) as OrganicMenuItemCount, (COUNT(MI.MenuID) * 100.0 / (SELECT COUNT(*) FROM MenuItems WHERE RestaurantID = R.RestaurantID)) as OrganicPercentage FROM Restaurants R INNER JOIN MenuItems MI ON R.RestaurantID = MI.RestaurantID WHERE MI.IsOrganic = 1 GROUP BY R.RestaurantID; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_acidification_arctic (location VARCHAR(255), level FLOAT); INSERT INTO ocean_acidification_arctic (location, level) VALUES ('Arctic Ocean', 8.15); | Determine the average ocean acidification level in the Arctic Ocean. | SELECT AVG(level) FROM ocean_acidification_arctic WHERE location = 'Arctic Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE shipments (shipment_id INT, delivery_time INT, warehouse_id INT, recipient_state VARCHAR(50)); INSERT INTO shipments (shipment_id, delivery_time, warehouse_id, recipient_state) VALUES (1, 3, 2, 'Texas'), (2, 5, 2, 'Texas'), (3, 4, 2, 'California'); | What is the average delivery time for shipments to Texas from warehouse 2? | SELECT AVG(delivery_time) FROM shipments WHERE warehouse_id = 2 AND recipient_state = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Category_Revenue (sale_id INT, sale_date DATE, sale_amount FLOAT, brand_name VARCHAR(50), product_category VARCHAR(50)); | What is the percentage of revenue generated from ethical fashion brands in each product category? | SELECT Category_Revenue.product_category, AVG(CASE WHEN Category_Revenue.brand_name IN (SELECT DISTINCT brand_name FROM Ethical_Fashion_Brands) THEN 100 ELSE 0 END) as ethical_brand_percentage FROM Category_Revenue GROUP BY Category_Revenue.product_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Player (PlayerID int, PlayerName varchar(50)); CREATE TABLE Game (GameID int, PlayerID int, RunningDistance decimal(5,2)); INSERT INTO Player (PlayerID, PlayerName) VALUES (1, 'John Doe'), (2, 'Jane Smith'), (3, 'Alex Johnson'); INSERT INTO Game (GameID, PlayerID, RunningDistance) VALUES (1, 1, 5.6), (2, ... | What is the average running distance per game for each player? | SELECT p.PlayerName, AVG(g.RunningDistance) AS AvgRunningDistance FROM Player p JOIN Game g ON p.PlayerID = g.PlayerID GROUP BY p.PlayerID, p.PlayerName; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (id INT, age INT, game_genre VARCHAR(20), location VARCHAR(20)); INSERT INTO players (id, age, game_genre, location) VALUES (1, 25, 'racing', 'USA'), (2, 30, 'rpg', 'Germany'), (3, 22, 'shooter', 'France'), (4, 35, 'Simulation', 'Nigeria'), (5, 40, 'Simulation', 'Egypt'); | What is the average age of players who play games in the 'Simulation' genre in Africa? | SELECT AVG(age) FROM players WHERE game_genre = 'Simulation' AND location LIKE 'Africa%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE strains (id INT, name VARCHAR(255)); INSERT INTO strains (id, name) VALUES (1, 'Blue Dream'), (2, 'Sour Diesel'); CREATE TABLE prices (id INT, strain_id INT, dispensary_id INT, price DECIMAL(10, 2)); | Determine average price difference between Blue Dream and Sour Diesel strains across all dispensaries in Colorado. | SELECT AVG(p1.price - p2.price) as price_difference FROM strains s1 INNER JOIN prices p1 ON s1.id = p1.strain_id INNER JOIN strains s2 ON s2.name = 'Sour Diesel' INNER JOIN prices p2 ON s2.id = p2.strain_id AND p1.dispensary_id = p2.dispensary_id WHERE s1.name = 'Blue Dream'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MachineProduction (ID INT, MachineID INT, StartTime TIME, EndTime TIME); INSERT INTO MachineProduction (ID, MachineID, StartTime, EndTime) VALUES (1, 501, '06:00:00', '14:00:00'), (2, 502, '08:00:00', '16:00:00'), (3, 501, '10:00:00', '18:00:00'), (4, 503, '07:00:00', '15:00:00'); | Calculate the percentage of time each machine was in production during Q3 2020. | SELECT MachineID, SUM(TIMESTAMPDIFF(HOUR, StartTime, EndTime)) / (SELECT SUM(TIMESTAMPDIFF(HOUR, StartTime, EndTime)) FROM MachineProduction WHERE MachineProduction.MachineID = Machines.ID AND MachineProduction.StartTime >= '2020-07-01' AND MachineProduction.StartTime < '2020-10-01') * 100 AS Percentage FROM Machines W... | gretelai_synthetic_text_to_sql |
CREATE TABLE patient_outcomes (patient_id INT, condition_id INT, improvement_score INT, follow_up_date DATE); INSERT INTO patient_outcomes (patient_id, condition_id, improvement_score, follow_up_date) VALUES (5, 1, 12, '2022-01-01'); INSERT INTO patient_outcomes (patient_id, condition_id, improvement_score, follow_up_d... | Which is the previous improvement score for each patient at their follow-up date? | SELECT patient_id, condition_id, improvement_score, follow_up_date, LAG(improvement_score) OVER (PARTITION BY patient_id ORDER BY follow_up_date) as previous_score FROM patient_outcomes; | gretelai_synthetic_text_to_sql |
CREATE TABLE route (route_id INT, route_name VARCHAR(50)); INSERT INTO route (route_id, route_name) VALUES (1, 'Red Line'), (2, 'Green Line'), (3, 'Blue Line'); CREATE TABLE fare (fare_id INT, route_id INT, fare_amount DECIMAL(5,2), collection_date DATE); INSERT INTO fare (fare_id, route_id, fare_amount, collection_dat... | List all routes with fare collections on weekends. | SELECT route_name FROM route JOIN fare ON route.route_id = fare.route_id WHERE DATEPART(dw, collection_date) IN (1, 7); | gretelai_synthetic_text_to_sql |
CREATE TABLE policy_info (policy_id INT, premium FLOAT, sum_insured INT); INSERT INTO policy_info (policy_id, premium, sum_insured) VALUES (1, 1200.50, 60000), (2, 2500.00, 70000), (3, 1800.00, 90000); | What is the minimum premium for policies with sum insured less than 60000? | SELECT MIN(premium) FROM policy_info WHERE sum_insured < 60000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID INT, EventType VARCHAR(50), StartDate DATE, EndDate DATE); INSERT INTO Events (EventID, EventType, StartDate, EndDate) VALUES (1, 'Dance Performance', '2022-04-01', '2022-04-03'), (2, 'Theater Performance', '2022-01-01', '2022-01-31'); CREATE TABLE Tickets (TicketID INT, EventID INT, Quanti... | What was the total number of tickets sold for theater performances in Q1 2022? | SELECT SUM(Quantity) FROM Events INNER JOIN Tickets ON Events.EventID = Tickets.EventID WHERE Events.EventType = 'Theater Performance' AND QUARTER(StartDate) = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists autonomous_ridesharing (ride_id INT, driver_id INT, passenger_id INT, start_time TIMESTAMP, end_time TIMESTAMP, vehicle_type VARCHAR(255), is_autonomous BOOLEAN); | What is the total number of rides taken in autonomous ridesharing services? | SELECT COUNT(*) as total_autonomous_rides FROM autonomous_ridesharing WHERE is_autonomous = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE state_services (state VARCHAR(20), service VARCHAR(20), budget INT); INSERT INTO state_services (state, service, budget) VALUES ('Illinois', 'Public Transportation', 8000000); | What is the minimum budget allocated for public transportation in the state of Illinois? | SELECT MIN(budget) FROM state_services WHERE state = 'Illinois' AND service = 'Public Transportation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Equipment_Origin (Equipment_Type VARCHAR(255), Country_Of_Origin VARCHAR(255), Equipment_Value INT); INSERT INTO Equipment_Origin (Equipment_Type, Country_Of_Origin, Equipment_Value) VALUES ('Aircraft', 'USA', 5000000), ('Vehicles', 'Canada', 3000000), ('Naval', 'Mexico', 4000000), ('Weaponry', 'Brazil', 6... | What is the total value of military equipment by country of origin, ranked by total value in descending order? | SELECT Country_Of_Origin, SUM(Equipment_Value) as Total_Equipment_Value FROM Equipment_Origin GROUP BY Country_Of_Origin ORDER BY Total_Equipment_Value DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_production (id INT, country VARCHAR(50), material VARCHAR(50), quantity INT); INSERT INTO garment_production (id, country, material, quantity) VALUES (1, 'India', 'Cotton', 5000), (2, 'Bangladesh', 'Polyester', 4000), (3, 'China', 'Viscose', 6000); | Show the distribution of garment production by material and country. | SELECT country, material, SUM(quantity) as total_quantity FROM garment_production GROUP BY country, material; | gretelai_synthetic_text_to_sql |
CREATE TABLE gulf_of_mexico (id INT, well_name VARCHAR(255), drill_date DATE, daily_production_gas FLOAT); | What is the total number of wells drilled in the Gulf of Mexico between 2017 and 2020, and what is the sum of their daily production rates of gas? | SELECT COUNT(*) as total_wells, SUM(daily_production_gas) as total_daily_production_gas FROM gulf_of_mexico WHERE drill_date BETWEEN '2017-01-01' AND '2020-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, supplier_name VARCHAR(50), country VARCHAR(50), orders INT); | Find the top 3 suppliers in the US by the number of orders in 2021? | SELECT supplier_name, COUNT(orders) FROM suppliers WHERE country = 'USA' AND EXTRACT(YEAR FROM order_date) = 2021 GROUP BY supplier_name ORDER BY COUNT(orders) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Animals (name VARCHAR(50), species VARCHAR(50), location VARCHAR(50)); INSERT INTO Animals (name, species, location) VALUES ('Polar Bear 1', 'Polar Bear', 'Svalbard Wildlife Reserve'), ('Polar Bear 2', 'Polar Bear', 'Svalbard Wildlife Reserve'), ('Reindeer 1', 'Reindeer', 'Svalbard Wildlife Reserve'); CREA... | List the names and species of all animals in the Svalbard Wildlife Reserve. | SELECT name, species FROM Animals INNER JOIN Reserves ON TRUE WHERE Animals.location = Reserves.location AND Reserves.name = 'Svalbard Wildlife Reserve'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_policing (id INT, precinct VARCHAR(20), year INT, events INT); | How many community policing events were held in 'Precinct 5' last year? | SELECT SUM(events) FROM community_policing WHERE precinct = 'Precinct 5' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, volunteer_name TEXT, volunteer_region TEXT, volunteer_join_date DATE); INSERT INTO volunteers (volunteer_id, volunteer_name, volunteer_region, volunteer_join_date) VALUES (1, 'Alice Doe', 'Africa', '2018-01-01'); | Calculate the number of volunteers who joined in H1 2018 from 'Africa' and 'South America'? | SELECT COUNT(*) FROM volunteers WHERE EXTRACT(QUARTER FROM volunteer_join_date) IN (1, 2) AND volunteer_region IN ('Africa', 'South America'); | gretelai_synthetic_text_to_sql |
CREATE VIEW fan_demographics_v AS SELECT fan_id, age, gender, city, state, country FROM fan_data; CREATE TABLE fan_data (fan_id INT, age INT, gender VARCHAR(10), city VARCHAR(50), state VARCHAR(20), country VARCHAR(50)); INSERT INTO fan_data (fan_id, age, gender, city, state, country) VALUES (1, 22, 'Male', 'New York',... | Show the top 3 cities with the most fans in 'fan_demographics_v' | SELECT city, COUNT(*) AS fan_count FROM fan_demographics_v GROUP BY city ORDER BY fan_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE therapy_patients (patient_id INT, gender VARCHAR(6), therapy_type VARCHAR(10), state VARCHAR(20), year INT); INSERT INTO therapy_patients VALUES (1, 'Male', 'CBT', 'New York', 2022), (2, 'Female', 'DBT', 'New York', 2022), (3, 'Male', 'CBT', 'New York', 2022); | What is the number of male and female patients who received therapy in New York in 2022? | SELECT gender, COUNT(*) FROM therapy_patients WHERE therapy_type IN ('CBT', 'DBT') AND state = 'New York' AND year = 2022 GROUP BY gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_clinics (clinic_id INT, clinic_name VARCHAR(50), state VARCHAR(2), num_hospital_beds INT); INSERT INTO rural_clinics (clinic_id, clinic_name, state, num_hospital_beds) VALUES (1, 'Rural Clinic A', 'TX', 15), (2, 'Rural Clinic B', 'TX', 20), (3, 'Rural Clinic C', 'CA', 10), (4, 'Rural Clinic D', 'CA',... | What is the average number of hospital beds per rural clinic in Texas and California? | SELECT state, AVG(num_hospital_beds) as avg_hospital_beds FROM rural_clinics WHERE state IN ('TX', 'CA') GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE ExcavationSites (SiteID INT PRIMARY KEY, SiteName VARCHAR(255), Country VARCHAR(255), StartDate DATE, EndDate DATE); CREATE TABLE Artifacts (ArtifactID INT PRIMARY KEY, SiteID INT, ArtifactName VARCHAR(255), Description TEXT, Material VARCHAR(255), DateFound DATE); CREATE VIEW ExcavationArtifacts AS SELECT... | Create a view that joins excavation sites and artifacts | CREATE VIEW ExcavationArtifacts AS SELECT ES.SiteName, A.ArtifactName, A.Material, A.DateFound FROM ExcavationSites ES INNER JOIN Artifacts A ON ES.SiteID = A.SiteID; | gretelai_synthetic_text_to_sql |
CREATE TABLE wellbeing_scores (customer_id INT, score INT, score_date DATE); | Compute the 12-month rolling average financial wellbeing score. | SELECT customer_id, AVG(score) OVER (PARTITION BY customer_id ORDER BY score_date ROWS BETWEEN 11 PRECEDING AND CURRENT ROW) AS rolling_avg FROM wellbeing_scores; | gretelai_synthetic_text_to_sql |
CREATE TABLE posts (post_id INT, user_id INT, post_date DATE, likes INT, hashtags VARCHAR(255), region VARCHAR(255)); INSERT INTO posts (post_id, user_id, post_date, likes, hashtags, region) VALUES (1, 1, '2021-06-01', 100, '#travel', 'North America'); | What is the maximum number of likes received by posts with the hashtag '#travel' in the 'North America' region for the month of June 2021? | SELECT MAX(likes) FROM posts WHERE hashtags LIKE '%#travel%' AND region = 'North America' AND post_date >= '2021-06-01' AND post_date < '2021-07-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurant_revenue (restaurant_id INT, revenue INT); INSERT INTO restaurant_revenue (restaurant_id, revenue) VALUES (1, 1200), (2, 1500), (3, 800), (4, 2000), (5, 1700); | Find the difference in revenue between restaurants 1 and 2. Display the result as a single value. | SELECT ABS(SUM(r1.revenue) - SUM(r2.revenue)) as revenue_difference FROM restaurant_revenue r1, restaurant_revenue r2 WHERE r1.restaurant_id = 1 AND r2.restaurant_id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE sites (site_id INT, site_name VARCHAR(100), state VARCHAR(50)); INSERT INTO sites (site_id, site_name, state) VALUES (1, 'Golden Mining Site', 'California'); INSERT INTO sites (site_id, site_name, state) VALUES (2, 'Silver Peak Mine', 'Nevada'); INSERT INTO sites (site_id, site_name, state) VALUES (3, 'Col... | How many employees are working on each mining site in Colorado? | SELECT sites.site_name, COUNT(employees.employee_id) as total_employees FROM sites LEFT JOIN employees ON sites.site_id = employees.site_id WHERE sites.state = 'Colorado' GROUP BY sites.site_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_tech (hotel_id INT, hotel_name VARCHAR(255), city VARCHAR(255), country VARCHAR(255), has_ai_chatbot BOOLEAN); INSERT INTO hotel_tech (hotel_id, hotel_name, city, country, has_ai_chatbot) VALUES (1, 'Hotel Grande', 'Tokyo', 'Japan', true), (2, 'Hotel Matsumoto', 'Tokyo', 'Japan', false); | How many hotels have adopted AI-powered chatbots in Tokyo, Japan? | SELECT COUNT(*) FROM hotel_tech WHERE city = 'Tokyo' AND country = 'Japan' AND has_ai_chatbot = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE concerts (concert_id INT, concert_country VARCHAR(50), tickets_sold INT); INSERT INTO concerts (concert_id, concert_country, tickets_sold) VALUES (1, 'France', 500), (2, 'Germany', 800), (3, 'United States', 1500); | What is the percentage of concert ticket sales in Europe out of the total sales worldwide? | SELECT (SUM(CASE WHEN concert_country = 'Europe' THEN tickets_sold ELSE 0 END) / SUM(tickets_sold)) * 100 AS percentage FROM concerts; | gretelai_synthetic_text_to_sql |
CREATE TABLE AutonomousResearch (Year INT, Data VARCHAR(255)); INSERT INTO AutonomousResearch (Year, Data) VALUES (2018, 'Data 1'), (2019, 'Data 2'), (2020, 'Data 3'), (2021, 'Data 4'); | Find the autonomous driving research data from 2020. | SELECT Data FROM AutonomousResearch WHERE Year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_safety_violations_types (violation_id INT PRIMARY KEY, violation_type VARCHAR(255), region VARCHAR(255)); | What is the distribution of AI safety violations by type in South America? | SELECT violation_type, COUNT(*) AS violation_count FROM ai_safety_violations_types WHERE region = 'South America' GROUP BY violation_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_stats (country VARCHAR(255), year INT, tourism_type VARCHAR(255), daily_expenditure DECIMAL(10, 2)); INSERT INTO tourism_stats (country, year, tourism_type, daily_expenditure) VALUES ('New Zealand', 2020, 'Adventure', 150.00), ('New Zealand', 2020, 'Adventure', 160.00), ('New Zealand', 2020, 'Adven... | What was the average expenditure per day for adventure tourists in New Zealand in 2020? | SELECT AVG(daily_expenditure) AS avg_daily_expenditure FROM tourism_stats WHERE country = 'New Zealand' AND year = 2020 AND tourism_type = 'Adventure'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Supplier (SupplierID INT, SupplierName VARCHAR(50), FarmID INT); INSERT INTO Supplier (SupplierID, SupplierName, FarmID) VALUES (1, 'Farm Fresh', 2), (2, 'Green Fields', 3); | Non-sustainable food items by supplier | SELECT s.SupplierName, f.ItemName FROM Supplier s INNER JOIN FoodItem f ON s.FarmID = f.FarmID WHERE f.IsSustainable = FALSE; | gretelai_synthetic_text_to_sql |
CREATE TABLE south_africa_dysprosium (id INT, year INT, amount INT); INSERT INTO south_africa_dysprosium (id, year, amount) VALUES (1, 2014, 2000), (2, 2015, 2500), (3, 2016, 3000), (4, 2017, 3500), (5, 2018, 4000); | What is the total amount of dysprosium produced in South Africa between 2015 and 2017? | SELECT SUM(amount) FROM south_africa_dysprosium WHERE year BETWEEN 2015 AND 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE bridges (id INT, bridge_name VARCHAR(255), built_year INT, state VARCHAR(255)); INSERT INTO bridges (id, bridge_name, built_year, state) VALUES (1, 'Brooklyn Bridge', 1883, 'New York'), (2, 'Golden Gate Bridge', 1937, 'California'), (3, 'Ford Rouge Bridge', 1932, 'Michigan'), (4, 'Boston University Bridge'... | What are the top 3 states with the highest number of bridges built before 1950? | SELECT state, COUNT(*) as bridge_count FROM bridges WHERE built_year < 1950 GROUP BY state ORDER BY bridge_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE PRODUCT ( id INT PRIMARY KEY, name TEXT, material TEXT, quantity INT, price INT, country TEXT, certifications TEXT, is_recycled BOOLEAN ); | Insert a new product made from recycled polyester with a quantity of 15 and a price of 50. | INSERT INTO PRODUCT (name, material, quantity, price, country, certifications, is_recycled) VALUES ('Recycled Polyester Jacket', 'Recycled Polyester', 15, 50, 'Canada', 'BlueSign', TRUE); | gretelai_synthetic_text_to_sql |
CREATE TABLE art_pieces (id INT, title TEXT, artist_name TEXT, medium TEXT, region TEXT); INSERT INTO art_pieces (id, title, artist_name, medium, region) VALUES (1, 'African Mask', 'Unknown', 'sculpture', 'Africa'); | How many art pieces were created by artists from Africa in the 'sculpture' medium? | SELECT COUNT(*) FROM art_pieces WHERE medium = 'sculpture' AND region = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(255), certification VARCHAR(255), price DECIMAL(10,2), quantity INT);INSERT INTO products VALUES (1,'Product A','vegan',10,10),(2,'Product B','organic',15,20),(3,'Product C','organic',20,30),(4,'Product D','vegan',25,40),(5,'Product E','vegan, organic',30,50); | What is the total revenue of products that are 'vegan' and 'organic' certified? | SELECT SUM(price * quantity) FROM products WHERE certification IN ('vegan', 'organic') GROUP BY certification HAVING COUNT(DISTINCT certification) = 2 | gretelai_synthetic_text_to_sql |
CREATE TABLE real_estate(id INT, city VARCHAR(50), price DECIMAL(10,2), size INT); INSERT INTO real_estate VALUES (1, 'Portland', 350000, 1500); | What is the average co-ownership price per square foot in the city of Portland, OR? | SELECT AVG(price/size) FROM real_estate WHERE city = 'Portland'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, song_id INT, price FLOAT, release_year INT); INSERT INTO sales (id, song_id, price, release_year) VALUES (1, 1, 1.2, 2021), (2, 2, 0.9, 2021), (3, 3, 1.5, 2021), (4, 4, 0.8, 2020), (5, 5, 1.3, 2021); | What is the total revenue generated from sales of songs released in 2021? | SELECT SUM(price) FROM sales WHERE release_year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE certifications(certification_id INT, certification_name TEXT); INSERT INTO certifications(certification_id, certification_name) VALUES (1, 'Fair Trade'), (2, 'SA8000'), (3, 'SEDEX'); CREATE TABLE suppliers(supplier_id INT, supplier_name TEXT, country TEXT); INSERT INTO suppliers(supplier_id, supplier_name,... | Which ethical labor practice certifications are held by suppliers in Germany? | SELECT DISTINCT suppliers.country, certifications.certification_name FROM suppliers JOIN supplier_certifications ON suppliers.supplier_id = supplier_certifications.supplier_id JOIN certifications ON supplier_certifications.certification_id = certifications.certification_id WHERE suppliers.country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists asia; USE asia; CREATE TABLE if not exists military_bases (id INT, name VARCHAR(255), type VARCHAR(255), location VARCHAR(255)); INSERT INTO military_bases (id, name, type, location) VALUES (1, 'Yokota Air Base', 'Air Force Base', 'Japan'), (2, 'Camp Humphreys', 'Army Base', 'South Korea'), ... | Show me the names and locations of all military bases located in 'asia' schema | SELECT name, location FROM asia.military_bases; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtistTicketSales (artist VARCHAR(255), year INT, sales INT); | What was the total number of concert ticket sales for artist 'X'? | SELECT SUM(sales) FROM ArtistTicketSales WHERE artist = 'X'; | gretelai_synthetic_text_to_sql |
CREATE TABLE WasteGeneration (Date date, Location text, Material text, Quantity integer);CREATE TABLE LandfillCapacity (Location text, Capacity integer); | What is the total waste quantity generated per location and material, and the total landfill capacity for each location, for the year 2020? | SELECT wg.Location, wg.Material, SUM(wg.Quantity) as TotalWasteQuantity, lc.Capacity as TotalLandfillCapacity FROM WasteGeneration wg JOIN LandfillCapacity lc ON wg.Location = lc.Location WHERE wg.Date >= '2020-01-01' AND wg.Date < '2021-01-01' GROUP BY wg.Location, wg.Material, lc.Capacity; | gretelai_synthetic_text_to_sql |
CREATE TABLE accommodations (id INT, name TEXT, continent TEXT, type TEXT, visitors INT); INSERT INTO accommodations (id, name, continent, type, visitors) VALUES (1, 'Eco Lodge', 'South America', 'Eco-friendly', 2500), (2, 'Green Hotel', 'South America', 'Eco-friendly', 3000); | What is the maximum number of visitors to eco-friendly accommodations in South America? | SELECT MAX(visitors) FROM accommodations WHERE continent = 'South America' AND type = 'Eco-friendly'; | gretelai_synthetic_text_to_sql |
CREATE TABLE public.criminal_justice (id serial PRIMARY KEY, name text, type text, budget integer, year integer); INSERT INTO public.criminal_justice (name, type, budget, year) VALUES ('Prison System', 'Corrections', 85000000, 2020), ('Police Department', 'Law Enforcement', 150000000, 2018); | What was the total budget for criminal justice systems before 2018? | SELECT name, type, budget, year, (SELECT SUM(budget) FROM public.criminal_justice cj2 WHERE cj2.year < cj.year AND cj2.id <> cj.id) as total_budget_before FROM public.criminal_justice cj WHERE year < 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE ships (name VARCHAR(255), year_decommissioned INT, type VARCHAR(255)); | Insert a new record into the Ships table for a ship named 'Sea Explorer' that was decommissioned in 2010. | INSERT INTO ships (name, year_decommissioned, type) VALUES ('Sea Explorer', 2010, 'Exploration'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Workouts (studio VARCHAR(50), workout VARCHAR(50)); INSERT INTO Workouts (studio, workout) VALUES ('Boston', 'Yoga'), ('Boston', 'Pilates'), ('Seattle', 'Cycling'), ('Seattle', 'Yoga'); | List the unique types of workouts offered in the 'Boston' and 'Seattle' studios. | SELECT DISTINCT workout FROM Workouts WHERE studio IN ('Boston', 'Seattle'); | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id INT, name VARCHAR(100), game VARCHAR(50)); | Update the player's name in the players table | UPDATE players SET name = 'NewPlayerName' WHERE player_id = 1; | gretelai_synthetic_text_to_sql |
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