context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE hotel_reviews (id INT PRIMARY KEY, hotel_name VARCHAR(50), user_rating FLOAT, review_date DATE, hotel_location VARCHAR(50), virtual_tour_engagements INT); INSERT INTO hotel_reviews (id, hotel_name, user_rating, review_date, hotel_location, virtual_tour_engagements) VALUES (1, 'Urban Retreat', 4.6, '2022-03... | What is the average rating of hotels in urban areas with more than 3 virtual tour engagements? | SELECT hotel_location, AVG(user_rating) FROM hotel_reviews WHERE virtual_tour_engagements > 3 GROUP BY hotel_location HAVING COUNT(*) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE cargo (id INT, type VARCHAR(20), origin VARCHAR(20), destination VARCHAR(20), weight FLOAT); INSERT INTO cargo (id, type, origin, destination, weight) VALUES (1, 'Containers', 'China', 'USA', 1000.0); INSERT INTO cargo (id, type, origin, destination, weight) VALUES (2, 'Dangerous Goods', 'China', 'Japan', ... | Delete records in the 'cargo' table where the type is 'General Cargo' and the origin is 'Brazil' | DELETE FROM cargo WHERE type = 'General Cargo' AND origin = 'Brazil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE art_pieces (piece_id INT, artist_name VARCHAR(50), artist_gender VARCHAR(10), artist_ethnicity VARCHAR(20), movement VARCHAR(20)); INSERT INTO art_pieces (piece_id, artist_name, artist_gender, artist_ethnicity, movement) VALUES (1, 'Claude Monet', 'Male', 'French', 'Impressionism'); INSERT INTO art_pieces ... | How many art pieces were created by female artists from the 'Impressionism' movement? | SELECT COUNT(*) FROM art_pieces WHERE artist_gender = 'Female' AND movement = 'Impressionism'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ei_scores (plant_id INT, score FLOAT); INSERT INTO ei_scores (plant_id, score) VALUES (1, 87.3), (2, 78.9), (3, 91.5), (4, 65.2), (5, 85.6), (6, 94.1); CREATE TABLE plants (id INT, name TEXT, location TEXT, PRIMARY KEY (id)); INSERT INTO plants (id, name, location) VALUES (1, 'PlantA', 'DE'), (2, 'PlantB',... | What is the maximum environmental impact score for chemical manufacturing plants in the EU? | SELECT MAX(score) FROM ei_scores INNER JOIN plants ON ei_scores.plant_id = plants.id WHERE location LIKE 'EU%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE manufacturers (manufacturer_id INT, manufacturer_name VARCHAR(255));CREATE TABLE garments (garment_id INT, garment_name VARCHAR(255), manufacturer_id INT, price DECIMAL(10,2), is_organic BOOLEAN); | What is the average price of organic cotton garments per manufacturer? | SELECT m.manufacturer_name, AVG(g.price) AS avg_price FROM garments g JOIN manufacturers m ON g.manufacturer_id = m.manufacturer_id WHERE g.is_organic = TRUE GROUP BY m.manufacturer_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (country VARCHAR(255), recycling_rate FLOAT); INSERT INTO recycling_rates (country, recycling_rate) VALUES ('Germany', 66.1); | What is the recycling rate in Germany? | SELECT recycling_rate FROM recycling_rates WHERE country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE field_start_date (field VARCHAR(50), start_date DATE); INSERT INTO field_start_date (field, start_date) VALUES ('Ekofisk', '2015-01-01'); INSERT INTO field_start_date (field, start_date) VALUES ('Statfjord', '2016-01-01'); INSERT INTO field_start_date (field, start_date) VALUES ('Gullfaks', '2017-01-01'); ... | List the fields that started production after 2015 | SELECT field FROM field_start_date WHERE start_date > '2015-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Dispensaries (id INT, name TEXT, state TEXT);CREATE TABLE Products (id INT, dispensary_id INT, thc_content DECIMAL); | What is the average THC content of products sold by each dispensary in Alaska? | SELECT D.name, AVG(P.thc_content) FROM Dispensaries D JOIN Products P ON D.id = P.dispensary_id WHERE D.state = 'Alaska' GROUP BY D.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE missions (mission_name VARCHAR(255), mission_director VARCHAR(255), total_cost DECIMAL(10,2)); INSERT INTO missions (mission_name, mission_director, total_cost) VALUES ('Mission1', 'Dir1', 150000.00), ('Mission2', 'Dir2', 200000.00), ('Mission3', 'Dir3', 120000.00), ('Mission4', 'Dir1', 180000.00), ('Missi... | Who are the mission directors that have overseen missions with a total cost greater than $200,000? | SELECT DISTINCT mission_director FROM missions WHERE total_cost > 200000.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_projects(project_id INT, project_name VARCHAR(50), duration INT, cost FLOAT); INSERT INTO defense_projects VALUES (1, 'Project A', 36, 5000000), (2, 'Project B', 24, 4000000), (3, 'Project C', 18, 3000000); | What is the total cost of defense projects with a duration greater than 24 months? | SELECT SUM(cost) FROM defense_projects WHERE duration > 24; | gretelai_synthetic_text_to_sql |
CREATE TABLE Machine_Production (Machine_ID INT, Production_Date DATE, Production_Rate INT); INSERT INTO Machine_Production (Machine_ID, Production_Date, Production_Rate) VALUES (1, '2022-01-01', 50), (1, '2022-01-02', 55), (2, '2022-01-01', 60), (2, '2022-01-03', 65); | What was the average production rate per machine for the month of January 2022? | SELECT AVG(Production_Rate) FROM (SELECT Production_Rate, ROW_NUMBER() OVER(PARTITION BY Machine_ID ORDER BY Production_Date) as rn FROM Machine_Production WHERE Production_Date >= '2022-01-01' AND Production_Date < '2022-02-01' AND Machine_ID IN (1,2)) tmp WHERE rn = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists bus_fares (id INT, city VARCHAR(20), avg_fare DECIMAL(3,2)); INSERT INTO bus_fares (id, city, avg_fare) VALUES (1, 'Rio de Janeiro', 2.20), (2, 'Sao Paulo', 2.50); | Delete the record for the bus fare in Rio de Janeiro | DELETE FROM bus_fares WHERE city = 'Rio de Janeiro'; | gretelai_synthetic_text_to_sql |
CREATE TABLE yearly_dives (year INT, depth FLOAT); INSERT INTO yearly_dives (year, depth) VALUES (2017, 6500), (2018, 6600), (2019, 6700), (2020, 6800), (2021, 6900); | What was the minimum deep-sea exploration depth by year? | SELECT year, MIN(depth) FROM yearly_dives; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech;CREATE TABLE if not exists biotech.genetic_research(id INT, name STRING, location STRING);INSERT INTO biotech.genetic_research(id, name, location) VALUES (1, 'InstituteA', 'Germany'), (2, 'InstituteB', 'US'), (3, 'InstituteC', 'UK'); | List the names and locations of genetic research institutions in Germany. | SELECT name, location FROM biotech.genetic_research WHERE location = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (company_id INT, company_name VARCHAR(255), state VARCHAR(255));CREATE TABLE patents (patent_id INT, company_id INT, filed_date DATE); | Display the number of patents filed by companies in each state | SELECT c.state, COUNT(c.company_id) FROM companies c INNER JOIN patents p ON c.company_id = p.company_id GROUP BY c.state; | gretelai_synthetic_text_to_sql |
CREATE TABLE ProductionData (year INT, element TEXT, production INT); INSERT INTO ProductionData (year, element, production) VALUES (2017, 'Lanthanum', 1000); INSERT INTO ProductionData (year, element, production) VALUES (2018, 'Lanthanum', 1500); INSERT INTO ProductionData (year, element, production) VALUES (2019, 'La... | Find the total production of Lanthanum and Yttrium for each year? | SELECT year, SUM(production) as total_production FROM ProductionData WHERE element IN ('Lanthanum', 'Yttrium') GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_trenches (name TEXT, average_depth REAL); INSERT INTO ocean_trenches (name, average_depth) VALUES ('Mariana Trench', 10994), ('Tonga Trench', 10820), ('Kuril-Kamchatka Trench', 10542), ('Philippine Trench', 10540), ('Kermadec Trench', 10047); | What is the average depth of all oceanic trenches? | SELECT AVG(average_depth) FROM ocean_trenches; | gretelai_synthetic_text_to_sql |
CREATE TABLE pollution_control (initiative_id INT, ocean TEXT); INSERT INTO pollution_control (initiative_id, ocean) VALUES (1, 'North Pacific'), (2, 'South Atlantic'), (3, 'Indian Ocean'), (4, 'North Pacific'), (5, 'Arctic Ocean'); | How many pollution control initiatives are present in the North Pacific Ocean? | SELECT COUNT(*) FROM pollution_control WHERE ocean = 'North Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, founder_country TEXT, is_active BOOLEAN); | What is the success rate of startups founded by people from each country? | SELECT founder_country, 100.0 * AVG(CASE WHEN is_active THEN 1.0 ELSE 0.0 END) as success_rate FROM companies GROUP BY founder_country; | gretelai_synthetic_text_to_sql |
CREATE TABLE financial_products (bank VARCHAR(50), product VARCHAR(50), apr FLOAT); INSERT INTO financial_products (bank, product, apr) VALUES ('Al-Rahman Bank', 'Home Mortgage', 4.5), ('Al-Rahman Bank', 'Car Loan', 6.0), ('Al-Rahman Bank', 'Personal Loan', 7.5); | List all the financial products offered by Al-Rahman Bank with their corresponding annual percentage rates. | SELECT bank, product, apr FROM financial_products WHERE bank = 'Al-Rahman Bank'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sensors (SensorID varchar(5), SensorName varchar(10), LastDataSent timestamp); INSERT INTO Sensors (SensorID, SensorName, LastDataSent) VALUES ('1', 'Sensor 1', '2022-06-22 12:30:00'), ('2', 'Sensor 2', '2022-06-25 16:45:00'), ('3', 'Sensor 3', '2022-06-28 09:10:00'); | Find the number of sensors that have not sent data in the past week and the number of sensors that have sent data in the past week. | SELECT COUNT(*) FROM (SELECT SensorName FROM Sensors WHERE LastDataSent < NOW() - INTERVAL '7 days' UNION SELECT SensorName FROM Sensors WHERE LastDataSent > NOW() - INTERVAL '7 days') AS Subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE patents_monthly (id INT, year INT, month INT, granted BOOLEAN); INSERT INTO patents_monthly (id, year, month, granted) VALUES (1, 2015, 1, TRUE), (2, 2016, 2, TRUE), (3, 2017, 3, FALSE), (4, 2018, 4, TRUE), (5, 2019, 5, FALSE), (6, 2020, 6, TRUE); | How many legal technology patents were granted per month in 2019? | SELECT p.year, p.month, COUNT(p.id) AS total_patents FROM patents_monthly p WHERE p.granted = TRUE AND p.year = 2019 GROUP BY p.year, p.month; | gretelai_synthetic_text_to_sql |
CREATE TABLE treatment_plants (id INT PRIMARY KEY, name VARCHAR(255), capacity INT, plant_type VARCHAR(255)); CREATE TABLE wastewater (id INT PRIMARY KEY, treatment_plant_id INT, volume_treated FLOAT, treatment_date DATE); | What is the average volume of wastewater treated per day in 2022, for treatment plants with a capacity of over 1,000,000 liters? | SELECT AVG(w.volume_treated/DATEDIFF('2022-12-31', '2022-01-01')) as avg_daily_volume_treated FROM treatment_plants t JOIN wastewater w ON t.id = w.treatment_plant_id WHERE t.capacity > 1000000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Studios (studio_id INT, studio_name VARCHAR(255), country VARCHAR(255)); INSERT INTO Studios (studio_id, studio_name, country) VALUES (1, 'Studio G', 'USA'), (2, 'Studio H', 'USA'), (3, 'Studio I', 'Canada'); CREATE TABLE Movies (movie_id INT, movie_name VARCHAR(255), studio_id INT, release_year INT); INSE... | How many movies were released by each studio in 2020 and 2021? | SELECT s.studio_name, COUNT(*) as movies_in_2020_and_2021 FROM Studios s JOIN Movies t ON s.studio_id = t.studio_id WHERE t.release_year IN (2020, 2021) GROUP BY s.studio_id, s.studio_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE MetroStations (station VARCHAR(20), num_escalators INT, num_elevators INT); INSERT INTO MetroStations (station, num_escalators, num_elevators) VALUES ('Station A', 5, 2), ('Station B', 3, 3), ('Station C', 6, 1); | find the total number of escalators and elevators in each metro station | SELECT station, SUM(num_escalators + num_elevators) as total FROM MetroStations GROUP BY station; | gretelai_synthetic_text_to_sql |
CREATE TABLE rainfall (country VARCHAR(20), rainfall INT); INSERT INTO rainfall VALUES ('Kenya', 800), ('Kenya', 900), ('Ethiopia', 1200), ('Ethiopia', 1100); | What is the average rainfall in Kenya and Ethiopia? | SELECT AVG(rainfall) FROM rainfall WHERE country = 'Kenya' UNION SELECT AVG(rainfall) FROM rainfall WHERE country = 'Ethiopia' | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (client_id INT, name TEXT, dob DATE, branch TEXT);CREATE TABLE accounts (account_id INT, client_id INT, account_type TEXT, balance DECIMAL);INSERT INTO clients VALUES (8, 'Sophia Taylor', '1992-08-30', 'Chicago');INSERT INTO accounts VALUES (108, 8, 'Checking', 4000); | What is the standard deviation of balance for clients with checking accounts in the Chicago branch? | SELECT STDEV(accounts.balance) FROM clients INNER JOIN accounts ON clients.client_id = accounts.client_id WHERE accounts.account_type = 'Checking' AND clients.branch = 'Chicago'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ZipCodes (ZipCodeID INT, ZipCode VARCHAR(255)); CREATE TABLE AmbulanceDispatches (DispatchID INT, DispatchType VARCHAR(255), ZipCodeID INT, DispatchDate DATE, DispatchTime INT); | Find the total number of ambulance dispatches and the average response time for ambulance services in each zip code area over the last three months. | SELECT ZipCode, COUNT(DispatchID) as TotalDispatches, AVG(DispatchTime) as AvgResponseTime FROM AmbulanceDispatches d JOIN ZipCodes z ON d.ZipCodeID = z.ZipCodeID WHERE d.DispatchDate >= DATEADD(month, -3, GETDATE()) AND d.DispatchType = 'Ambulance' GROUP BY ZipCode; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_finance_projects (project_id INT, project_name VARCHAR(255), allocation DECIMAL(10,2), year INT, month INT); INSERT INTO climate_finance_projects (project_id, project_name, allocation, year, month) VALUES (1, 'Green Bond Issue', 10000000, 2021, 1), (2, 'Carbon Tax Implementation', 7000000, 2021, 2)... | What is the average allocation for climate finance projects in the first half of 2021? | SELECT AVG(allocation) FROM climate_finance_projects WHERE year = 2021 AND month BETWEEN 1 AND 6; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, name VARCHAR(50), team VARCHAR(50), salary FLOAT); INSERT INTO employees (id, name, team, salary) VALUES (1, 'Alice', 'Ethical AI', 70000.00), (2, 'Bob', 'Data Science', 75000.00), (3, 'Charlie', 'Ethical AI', 72000.00); | What is the average salary of developers in the Ethical AI team? | SELECT AVG(salary) FROM employees WHERE team = 'Ethical AI' AND position = 'Developer'; | gretelai_synthetic_text_to_sql |
CREATE TABLE media_content (id INT, title VARCHAR(255), release_year INT, runtime INT, genre VARCHAR(255), format VARCHAR(50), country VARCHAR(255), director VARCHAR(255)); | What is the total runtime of movies and TV shows in the 'Action' genre, and how many unique directors are there? | SELECT genre, SUM(runtime) AS total_runtime, COUNT(DISTINCT director) AS unique_directors FROM media_content WHERE genre = 'Action' GROUP BY genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_generation (city VARCHAR(20), year INT, daily_waste_generation FLOAT);INSERT INTO waste_generation (city, year, daily_waste_generation) VALUES ('San Francisco', 2019, 3.2), ('San Francisco', 2020, 3.5), ('San Francisco', 2021, 3.7), ('Oakland', 2019, 2.8), ('Oakland', 2020, 3.1), ('Oakland', 2021, 3.... | Determine the total waste generation for the year 2020 for all cities | SELECT SUM(daily_waste_generation * 365) FROM waste_generation WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE company_scores (id INT, company VARCHAR(255), esg_score FLOAT, year INT); INSERT INTO company_scores (id, company, esg_score, year) VALUES (15, 'Sustainable Futures', 88, 2021); INSERT INTO company_scores (id, company, esg_score, year) VALUES (16, 'Sustainable Futures', 92, 2020); | Find the average ESG score for 'Sustainable Futures' in 2021. | SELECT AVG(esg_score) FROM company_scores WHERE company = 'Sustainable Futures' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_finance_initiatives (id INT PRIMARY KEY, name VARCHAR(50), location VARCHAR(50), budget DECIMAL(10,2));CREATE VIEW v_middle_east_north_africa_finance_initiatives AS SELECT cfi.name, cfi.location, cfi.budget FROM climate_finance_initiatives cfi WHERE cfi.location LIKE 'Middle East%' OR cfi.location ... | List the top 3 climate finance initiatives with the highest budget in the Middle East and North Africa, ordered by budget. | SELECT * FROM v_middle_east_north_africa_finance_initiatives ORDER BY budget DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE CityPerformances (City VARCHAR(20), ArtPerformance VARCHAR(30), Performances INT); INSERT INTO CityPerformances VALUES ('Portland', 'Hula', 2), ('Portland', 'Flamenco', 3), ('Seattle', 'Bharatanatyam', 1); CREATE VIEW ArtPerformanceCount AS SELECT City, ArtPerformance, COUNT(*) AS Performances FROM CityPer... | Show the name and number of art performances in each city. | SELECT v.City, v.ArtPerformance, v.Performances FROM CityPerformances c JOIN ArtPerformanceCount v ON c.City = v.City AND c.ArtPerformance = v.ArtPerformance; | gretelai_synthetic_text_to_sql |
CREATE TABLE Languages (LanguageID int, LanguageName text, Status text); INSERT INTO Languages (LanguageID, LanguageName, Status) VALUES (1, 'Quechua', 'Endangered'), (2, 'Spanish', 'Safe'), (3, 'Mandarin', 'Safe'); | How many languages in the database are considered endangered? | SELECT COUNT(*) FROM Languages WHERE Status = 'Endangered'; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (building_id INT, city VARCHAR(255), energy_consumption FLOAT); | What is the total energy consumption of green buildings in the 'green_buildings' table? | SELECT SUM(energy_consumption) FROM green_buildings WHERE city IN (SELECT city FROM (SELECT DISTINCT city FROM green_buildings) AS unique_cities); | gretelai_synthetic_text_to_sql |
CREATE TABLE project_timeline (project_id INT, state VARCHAR(2), type VARCHAR(20), timeline INT); INSERT INTO project_timeline (project_id, state, type, timeline) VALUES (1, 'CA', 'Green', 365); | What is the average project timeline for green building projects in California? | SELECT AVG(timeline) FROM project_timeline WHERE state = 'CA' AND type = 'Green'; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_conservation(household_id INT, state VARCHAR(50), score INT, year INT); INSERT INTO water_conservation(household_id, state, score, year) VALUES (1, 'Florida', 85, 2020), (2, 'Florida', 90, 2020); | What is the average water conservation score for households in the state of Florida for the year 2020? | SELECT AVG(score) FROM water_conservation WHERE state = 'Florida' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_region (id INT, region_name VARCHAR(50), min_ocean_ph FLOAT, max_ocean_ph FLOAT); INSERT INTO marine_region (id, region_name, min_ocean_ph, max_ocean_ph) VALUES (1, 'Atlantic Ocean', 7.5, 8.1), (2, 'Pacific Ocean', 7.6, 8.2); | Add a new record for the 'Indian Ocean' to the 'marine_region' table. | INSERT INTO marine_region (region_name, min_ocean_ph, max_ocean_ph) VALUES ('Indian Ocean', 7.4, 8.3); | gretelai_synthetic_text_to_sql |
CREATE TABLE missions (agency VARCHAR(255), mission_name VARCHAR(255), start_date DATE, end_date DATE); INSERT INTO missions (agency, mission_name, start_date, end_date) VALUES ('ESA', 'MarsMission1', '2012-06-18', '2015-02-03'); INSERT INTO missions (agency, mission_name, start_date, end_date) VALUES ('NASA', 'MarsMis... | What is the maximum duration of any Mars mission? | SELECT MAX(DATEDIFF(end_date, start_date)) FROM missions WHERE mission_name LIKE '%Mars%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_clinics (id INT, region VARCHAR(255), name VARCHAR(255), patient_volume INT); INSERT INTO rural_clinics (id, region, name, patient_volume) VALUES (1, 'Appalachian', 'Clinic A', 50), (2, 'Great Plains', 'Clinic B', 75), (3, 'Mississippi Delta', 'Clinic C', 100); | What is the name of the rural clinic with the lowest patient volume in the Appalachian region? | SELECT name FROM rural_clinics WHERE region = 'Appalachian' ORDER BY patient_volume ASC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE districts (id INT, district_name VARCHAR(255));CREATE TABLE emergencies (id INT, district_id INT, response_time INT);INSERT INTO districts (id, district_name) VALUES (1, 'Downtown'), (2, 'East Austin'), (3, 'West Austin');INSERT INTO emergencies (id, district_id, response_time) VALUES (1, 1, 450), (2, 1, 4... | What is the average response time for emergency calls by district in the city of Austin? | SELECT d.district_name, AVG(e.response_time) avg_response_time FROM districts d JOIN emergencies e ON d.id = e.district_id GROUP BY d.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE excavation_sites (id INT, name VARCHAR(255)); CREATE TABLE artifacts (id INT, excavation_site_id INT, year INT, type VARCHAR(255)); | Find the earliest year an artifact was excavated from each excavation site. | SELECT es.name, MIN(a.year) as min_year FROM excavation_sites es JOIN artifacts a ON es.id = a.excavation_site_id GROUP BY es.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (id INT, name VARCHAR(255), price FLOAT, carbohydrates_grams FLOAT); INSERT INTO products (id, name, price, carbohydrates_grams) VALUES (1, 'Product M', 18.0, 25.0); INSERT INTO products (id, name, price, carbohydrates_grams) VALUES (2, 'Product N', 12.0, 30.0); INSERT INTO products (id, name, pri... | What is the average carbohydrate content for products with a price greater than 15? | SELECT AVG(carbohydrates_grams) AS avg_carbohydrates_grams FROM products WHERE price > 15; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkers (WorkerID INT, Age INT, Race VARCHAR(25)); INSERT INTO CommunityHealthWorkers (WorkerID, Age, Race) VALUES (1, 35, 'Hispanic'), (2, 42, 'African American'), (3, 50, 'Caucasian'); CREATE TABLE HealthEquityTraining (WorkerID INT, Completed BOOLEAN); INSERT INTO HealthEquityTraining (Wo... | How many community health workers have completed health equity training by race? | SELECT c.Race, COUNT(*) AS CompletedHealthEquityTraining FROM CommunityHealthWorkers c INNER JOIN HealthEquityTraining t ON c.WorkerID = t.WorkerID WHERE t.Completed = TRUE GROUP BY c.Race; | gretelai_synthetic_text_to_sql |
CREATE TABLE scandium_production (year INT, country TEXT, production_quantity INT); INSERT INTO scandium_production (year, country, production_quantity) VALUES (2018, 'China', 1200), (2019, 'China', 1500), (2020, 'China', 1800), (2021, 'China', 2000), (2018, 'India', 800), (2019, 'India', 900), (2020, 'India', 1100), (... | What is the total production quantity of scandium in China and India for the year 2020? | SELECT SUM(production_quantity) FROM scandium_production WHERE country IN ('China', 'India') AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, Industry TEXT); INSERT INTO Donors (DonorID, DonorName, Industry) VALUES (1, 'John Doe', 'Technology'), (2, 'Jane Smith', 'Finance'), (3, 'Leung Li', 'Technology'), (4, 'Kim Jae', 'Retail'); CREATE TABLE Donations (DonationID INT, DonorID INT, DonationAmount INT); INSER... | What is the average donation amount made by donors in the finance industry? | SELECT AVG(DonationAmount) FROM Donations JOIN Donors ON Donations.DonorID = Donors.DonorID WHERE Donors.Industry = 'Finance'; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_exploration (mission_name VARCHAR(50), launch_date DATE, max_speed NUMERIC(8,2)); INSERT INTO space_exploration VALUES ('Apollo 10', '1969-05-18', 39665.00), ('Mariner 2', '1962-08-27', 42800.00), ('New Horizons', '2006-01-19', 58786.00); | What is the average speed of spacecraft in the space_exploration table, ordered by their launch dates? | SELECT AVG(max_speed) OVER (ORDER BY launch_date) FROM space_exploration; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cooperatives(CoopID INT, CoopName VARCHAR(50)); | Delete the 'Cooperatives' table | DROP TABLE Cooperatives; | gretelai_synthetic_text_to_sql |
CREATE TABLE job_applications (application_id INT, name TEXT, job_title TEXT, application_date DATE); INSERT INTO job_applications (application_id, name, job_title, application_date) VALUES (1, 'Alice', 'HR Manager', '2022-01-01'), (2, 'Bob', 'Software Engineer', '2022-01-05'), (3, 'Charlie', 'Software Engineer', '2022... | What is the number of job applications received, by job title, in the last month? | SELECT job_title, COUNT(*) AS num_applications FROM job_applications WHERE application_date >= DATEADD(month, -1, GETDATE()) GROUP BY job_title; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, garment_type VARCHAR(20), color VARCHAR(20), price DECIMAL(10, 2), quantity INT); | What are the top 3 best-selling garment types in terms of revenue? | SELECT garment_type, SUM(price * quantity) AS revenue FROM sales GROUP BY garment_type ORDER BY revenue DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE funding (id INT, company_id INT, amount DECIMAL(10, 2)); CREATE TABLE company (id INT, name VARCHAR(255), industry VARCHAR(255)); INSERT INTO company (id, name, industry) VALUES (1, 'Fintech Inc', 'finance'), (2, 'Startup Corp', 'tech'), (3, 'Green Inc', 'green'); INSERT INTO funding (id, company_id, amoun... | What is the average funding amount for companies in the "green" industry? | SELECT AVG(amount) FROM funding INNER JOIN company ON funding.company_id = company.id WHERE company.industry = 'green'; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_items (item_id INT, item_name TEXT, category TEXT, price DECIMAL(5,2)); | Delete all menu items in the 'side_dishes' category | DELETE FROM menu_items WHERE category = 'side_dishes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marcellus_shale_gas_production (year INT, region VARCHAR(20), production_volume INT); INSERT INTO marcellus_shale_gas_production (year, region, production_volume) VALUES (2015, 'Marcellus Shale', 4000000), (2016, 'Marcellus Shale', 4500000), (2017, 'Marcellus Shale', 5000000), (2018, 'Marcellus Shale', 550... | How much natural gas was extracted from the Marcellus Shale in 2019? | SELECT production_volume FROM marcellus_shale_gas_production WHERE year = 2019 AND region = 'Marcellus Shale'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, product_id INT, quantity INT, non_toxic BOOLEAN); CREATE TABLE products (product_id INT, product_name VARCHAR(255), category VARCHAR(255)); INSERT INTO sales (sale_id, product_id, quantity, non_toxic) VALUES (1, 1, 100, true), (2, 2, 75, false), (3, 3, 50, true); INSERT INTO products (p... | Find the number of non-toxic skincare products that have been sold more than 100 times | SELECT COUNT(*) FROM sales JOIN products ON sales.product_id = products.product_id WHERE sales.quantity > 100 AND sales.non_toxic = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE conservation_status (id INT, species_name VARCHAR(50), status VARCHAR(20)); INSERT INTO conservation_status (id, species_name, status) VALUES (1, 'Green Sea Turtle', 'Least Concern'), (2, 'Clownfish', 'Least Concern'), (3, 'Bottlenose Dolphin', 'Data Deficient'), (4, 'Blue Whale', 'Critically Endangered'); | List all marine species and their conservation statuses that have a conservation status of 'Critically Endangered'. | SELECT species_name, status FROM conservation_status WHERE status = 'Critically Endangered'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists genetics; CREATE TABLE if not exists genetics.projects (id INT, name VARCHAR(100), start_date DATE); INSERT INTO genetics.projects (id, name, start_date) VALUES (1, 'ProjectX', '2020-01-01'), (2, 'ProjectY', '2019-01-01'), (11, 'ProjectZ', '2021-01-01'); | List the names of genetic research projects with an ID greater than 10 and their respective start dates. | SELECT id, name, start_date FROM genetics.projects WHERE id > 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (id INT, city VARCHAR(20), visitors INT); CREATE TABLE VisitorExhibitions (visitor_id INT, exhibition_id INT); INSERT INTO Exhibitions (id, city, visitors) VALUES (1, 'Paris', 3000), (2, 'London', 4000), (3, 'New York', 5000); INSERT INTO VisitorExhibitions (visitor_id, exhibition_id) VALUES (1... | Find the number of unique visitors per exhibition in descending order. | SELECT e.city, COUNT(DISTINCT v.id) AS unique_visitors FROM Exhibitions e JOIN VisitorExhibitions ve ON e.id = ve.exhibition_id JOIN Visitors v ON ve.visitor_id = v.id GROUP BY e.id ORDER BY unique_visitors DESC | gretelai_synthetic_text_to_sql |
CREATE TABLE Shipments(id INT, mode VARCHAR(50), source VARCHAR(50), destination VARCHAR(50), delivery_time DATE); INSERT INTO Shipments(id, mode, source, destination, delivery_time) VALUES (1, 'air', 'Egypt', 'Argentina', '2022-05-01'); | List the names and delivery times of all shipments that were sent by air from Egypt to Argentina. | SELECT Shipments.mode, Shipments.source, Shipments.destination, Shipments.delivery_time FROM Shipments WHERE Shipments.mode = 'air' AND Shipments.source = 'Egypt' AND Shipments.destination = 'Argentina'; | gretelai_synthetic_text_to_sql |
CREATE TABLE indigenous_food_systems (system_id INT, system_name TEXT, area FLOAT); INSERT INTO indigenous_food_systems (system_id, system_name, area) VALUES (1, 'Acorn Farming', 12.5), (2, 'Maple Syrup Production', 18.7), (3, 'Bison Ranching', 25.0); | What is the maximum area (in hectares) of an indigenous food system? | SELECT MAX(area) FROM indigenous_food_systems; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_mammals (name TEXT, region TEXT); INSERT INTO marine_mammals (name, region) VALUES ('Blue Whale', 'Indian Ocean'); INSERT INTO marine_mammals (name, region) VALUES ('Dugong', 'Indian Ocean'); | Which marine mammal species have been observed in the 'Indian Ocean'?' | SELECT name FROM marine_mammals WHERE region = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (id INT, region TEXT, population INT); INSERT INTO regions (id, region, population) VALUES (1, 'Region 1', 700000), (2, 'Region 2', 850000), (3, 'Region 3', 650000); CREATE TABLE emergency_incidents (id INT, region TEXT, incident_type TEXT, incident_count INT); INSERT INTO emergency_incidents (id, ... | What is the total number of emergency incidents reported in each region, broken down by incident type, and the total population of that region? | SELECT region, incident_type, SUM(incident_count) AS total_incidents, population FROM regions r JOIN emergency_incidents e ON r.region = e.region GROUP BY region, incident_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (Id INT, Name VARCHAR(50), Type VARCHAR(50), MaxSpeed DECIMAL(5,2)); INSERT INTO Vessels VALUES (1, 'VesselA', 'Cargo', 25.5), (2, 'VesselB', 'Tanker', 18.3); | Update the maximum speed of the vessel 'VesselA' to 27.5 knots. | UPDATE Vessels SET MaxSpeed = 27.5 WHERE Name = 'VesselA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PlayerVR (PlayerID INT, VRSessionDate DATE); INSERT INTO PlayerVR (PlayerID, VRSessionDate) VALUES (1, '2021-04-01'), (2, '2021-06-01'), (3, '2021-02-01'), (4, '2021-05-01'); | Delete the records of players who have not played any VR games in the last 3 months. | DELETE FROM PlayerVR WHERE PlayerID IN (SELECT PlayerID FROM PlayerVR WHERE VRSessionDate < DATE_SUB(CURDATE(), INTERVAL 3 MONTH)); | gretelai_synthetic_text_to_sql |
CREATE TABLE weapons_produced (company TEXT, quantity INT, production_date DATE); INSERT INTO weapons_produced (company, quantity, production_date) VALUES ('ACME', 150, '2022-01-01'); INSERT INTO weapons_produced (company, quantity, production_date) VALUES ('ACME', 160, '2022-01-02'); | What is the average quantity of weapons produced monthly by company 'ACME'? | SELECT AVG(quantity) FROM weapons_produced WHERE company = 'ACME' AND EXTRACT(MONTH FROM production_date) = EXTRACT(MONTH FROM CURRENT_DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(255), certification VARCHAR(255));INSERT INTO products VALUES (1,'Product A','recycled'),(2,'Product B','fair_trade'),(3,'Product C','organic'),(4,'Product D','recycled'),(5,'Product E','fair_trade'),(6,'Product F','recycled, fair_trade'); | What is the total quantity of products that are both 'recycled' and 'fair_trade' certified? | SELECT SUM(quantity) FROM products WHERE certification IN ('recycled', 'fair_trade') GROUP BY certification HAVING COUNT(DISTINCT certification) = 2 | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_vehicles (id INT PRIMARY KEY, make VARCHAR(50), model VARCHAR(50), year INT, top_speed INT); | Find the minimum top speed of autonomous vehicles in the 'autonomous_vehicles' table | SELECT MIN(top_speed) FROM autonomous_vehicles; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_missions (id INT, mission_name VARCHAR(255), organization VARCHAR(255), cost FLOAT, duration FLOAT); INSERT INTO satellite_missions (id, mission_name, organization, cost, duration) VALUES (1, 'Sentinel-1A', 'European Space Agency', 150000000, 780), (2, 'Sentinel-1B', 'European Space Agency', 1500... | What is the total cost of satellite missions organized by each organization? | SELECT organization, SUM(cost) as total_cost FROM satellite_missions GROUP BY organization; | gretelai_synthetic_text_to_sql |
CREATE TABLE product_safety_records (id INT PRIMARY KEY, product_name VARCHAR(100), safety_rating INT, inspection_date DATE); CREATE TABLE cruelty_free_certification (id INT PRIMARY KEY, product_name VARCHAR(100), certification_date DATE, certification_status VARCHAR(10)); INSERT INTO cruelty_free_certification (id, pr... | Which cruelty-free certified products have had their latest certification date within the last year? | SELECT product_name FROM cruelty_free_certification cfc INNER JOIN (SELECT product_name, MAX(certification_date) as max_certification_date FROM cruelty_free_certification WHERE certification_date >= NOW() - INTERVAL 1 YEAR GROUP BY product_name) cfc2 ON cfc.product_name = cfc2.product_name WHERE cfc.certification_statu... | gretelai_synthetic_text_to_sql |
CREATE TABLE news_articles (id INT, title VARCHAR(100), section VARCHAR(50), publication_date DATE); INSERT INTO news_articles (id, title, section, publication_date) VALUES (1, 'Article 1', 'international', '2022-01-01'), (2, 'Article 2', 'national', '2022-02-01'), (3, 'Article 3', 'national', '2022-02-07'), (4, 'Artic... | How many news articles were published in the 'culture' section in the last month? | SELECT COUNT(*) FROM news_articles WHERE section = 'culture' AND publication_date >= DATE_SUB(CURDATE(), INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Age INT, GamePlatform VARCHAR(10), Country VARCHAR(20));CREATE TABLE ESportsEvents (EventID INT, PlayerID INT); | Which countries have the highest average age of players participating in ESports events on PC platforms? | SELECT ev.Country, AVG(p.Age) as AvgAge FROM Players p INNER JOIN ESportsEvents e ON p.PlayerID = e.PlayerID WHERE p.GamePlatform = 'PC' GROUP BY ev.Country ORDER BY AvgAge DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (id INT, age INT); INSERT INTO community_health_workers (id, age) VALUES (1, 35), (2, 40), (3, 30), (4, 45), (5, 50); | How many community health workers are there in total, and what is the maximum age among them? | SELECT COUNT(*) AS total_workers, MAX(age) AS max_age FROM community_health_workers; | gretelai_synthetic_text_to_sql |
CREATE TABLE Buses (route_id INT, region VARCHAR(20), maintenance_frequency INT); INSERT INTO Buses (route_id, region, maintenance_frequency) VALUES (1, 'Northpoint', 45), (2, 'Northpoint', 60), (3, 'Northpoint', 75); | What is the maximum maintenance frequency for buses in the 'Northpoint' region? | SELECT MAX(maintenance_frequency) FROM Buses WHERE region = 'Northpoint'; | gretelai_synthetic_text_to_sql |
CREATE TABLE species_count (id INT, species_name VARCHAR, biome VARCHAR, animal_count INT); | Determine the most common animal species in the Arctic Ocean. | SELECT species_name FROM (SELECT species_name, biome, animal_count, RANK() OVER (PARTITION BY biome ORDER BY animal_count DESC) as rank FROM species_count WHERE biome = 'Ocean') as subquery WHERE rank = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE RecyclingRates (rate_id INT, quarter DATE, recycling_rate DECIMAL(5,2)); INSERT INTO RecyclingRates (rate_id, quarter, recycling_rate) VALUES (1, '2020-01-01', 0.35), (2, '2020-04-01', 0.40), (3, '2020-07-01', 0.38), (4, '2020-10-01', 0.42), (5, '2021-01-01', 0.45); | What is the average recycling rate per quarter for the last 2 years? | SELECT AVG(recycling_rate) FROM RecyclingRates WHERE quarter >= DATE_SUB('2020-01-01', INTERVAL 2 YEAR) GROUP BY QUARTER(quarter); | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name VARCHAR(50), industry VARCHAR(50), founding_year INT); INSERT INTO company (id, name, industry, founding_year) VALUES (1, 'Acme Inc', 'Tech', 2018), (2, 'Beta Corp', 'Finance', 2019); CREATE TABLE funding (id INT, company_id INT, amount INT); INSERT INTO funding (id, company_id, amoun... | What's the average funding amount per industry for companies founded in 2018? | SELECT industry, AVG(amount) FROM company JOIN funding ON company.id = funding.company_id WHERE founding_year = 2018 GROUP BY industry; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (RestaurantID INT, Name VARCHAR(50)); CREATE TABLE Menu (MenuID INT, RestaurantID INT, Item VARCHAR(50), Price DECIMAL(10,2), PreviousPrice DECIMAL(10,2)); | Calculate the revenue increase or decrease for each menu item after a price change. | SELECT M.Item, CASE WHEN M.Price > M.PreviousPrice THEN 'Increase' ELSE 'Decrease' END as PriceChange, M.Price - M.PreviousPrice as PriceDifference FROM Menu M; | gretelai_synthetic_text_to_sql |
CREATE TABLE streams (album_name TEXT, artist_name TEXT, streams_in_first_week INT); INSERT INTO streams (album_name, artist_name, streams_in_first_week) VALUES ('Future Nostalgia', 'Dua Lipa', 220000), ('Be', 'BTS', 300000), ('30', 'Adele', 280000); | How many streams did Dua Lipa's latest album receive in its first week? | SELECT streams_in_first_week FROM streams WHERE album_name = 'Future Nostalgia' AND artist_name = 'Dua Lipa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fishing_vessels (id INT, name VARCHAR(255), sea VARCHAR(255), length FLOAT); INSERT INTO fishing_vessels (id, name, sea, length) VALUES (1, 'Vessel A', 'North Pacific', 50.5); INSERT INTO fishing_vessels (id, name, sea, length) VALUES (2, 'Vessel B', 'Barents Sea', 60.3); INSERT INTO fishing_vessels (id, n... | What is the minimum length of fishing vessels in the North Pacific and Barents Seas? | SELECT MIN(length) FROM fishing_vessels WHERE sea IN ('North Pacific', 'Barents Sea'); | gretelai_synthetic_text_to_sql |
CREATE TABLE tv_shows (id INT, name VARCHAR(100), genre VARCHAR(50), runtime INT); | How many TV shows in the "tv_shows" table have the word "documentary" in their genre? | SELECT COUNT(*) FROM tv_shows WHERE genre LIKE '%documentary%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE job_roles (id INT, role VARCHAR(20), sector VARCHAR(20), wage FLOAT); INSERT INTO job_roles (id, role, sector, wage) VALUES (1, 'intern', 'technology', 13.00), (2, 'developer', 'technology', 35.00), (3, 'intern', 'technology', 12.50), (4, 'manager', 'technology', 45.00); | How many 'interns' are there in the 'technology' sector, and what is the minimum wage for this group? | SELECT COUNT(*), MIN(wage) FROM job_roles WHERE role = 'intern' AND sector = 'technology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Pacific_Ocean (ocean_floor_location text, point_longitude numeric, point_latitude numeric, point_temperature numeric); | What is the average temperature of the ocean floor in the Pacific Ocean? | SELECT AVG(point_temperature) FROM Pacific_Ocean WHERE ocean_floor_location = 'Pacific Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE species (id INT, name VARCHAR(50), habitat_type VARCHAR(50), habitat_depth FLOAT); | Find the average depth of all marine species habitats. | SELECT AVG(habitat_depth) FROM species; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_ratings (application VARCHAR(255), rating FLOAT); INSERT INTO safety_ratings (application, rating) VALUES ('App1', 0.85); INSERT INTO safety_ratings (application, rating) VALUES ('App2', 0.92); INSERT INTO safety_ratings (application, rating) VALUES ('App3', 0.78); | Which explainable AI applications have the highest safety ratings? | SELECT application, rating, RANK() OVER (ORDER BY rating DESC) as rank FROM safety_ratings WHERE rank <= 1 AND application IN (SELECT application FROM explainable_ai); | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_mitigation (id INT, country VARCHAR(50), year INT, efforts VARCHAR(50)); INSERT INTO climate_mitigation (id, country, year, efforts) VALUES (1, 'India', 2019, 'reforestation'); | Which countries in Asia have not reported any climate mitigation efforts in the last 3 years? | SELECT country FROM climate_mitigation WHERE year >= (YEAR(CURRENT_DATE) - 3) AND efforts IS NULL GROUP BY country HAVING COUNT(*) = (YEAR(CURRENT_DATE) - 3); | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, sector TEXT, ESG_rating FLOAT); | Insert new company with id 4, sector 'renewable_energy', ESG 85. | INSERT INTO companies (id, sector, ESG_rating) VALUES (4, 'renewable_energy', 85); | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (name VARCHAR(50), genre VARCHAR(50)); INSERT INTO artists (name, genre) VALUES ('Beyoncé', 'Pop'), ('Drake', 'Hip Hop'); CREATE TABLE concerts (artist_name VARCHAR(50), venue VARCHAR(50), ticket_price DECIMAL(5,2)); INSERT INTO concerts (artist_name, venue, ticket_price) VALUES ('Beyoncé', 'Madiso... | What is the average concert ticket price for a Beyoncé concert? | SELECT AVG(ticket_price) AS avg_ticket_price FROM concerts WHERE artist_name = 'Beyoncé'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Canada (City VARCHAR(50), Population INT, HigherEducation FLOAT); INSERT INTO Canada (City, Population, HigherEducation) VALUES ('Toronto', 29337400, 63.2), ('Montreal', 4221000, 59.1), ('Vancouver', 2632000, 60.8), ('Calgary', 1481000, 61.5), ('Edmonton', 1400000, 61.9), ('Ottawa', 1323783, 65.3), ('Quebe... | What is the percentage of the population in Canada who have completed higher education? | SELECT (SUM(HigherEducation * Population) / SUM(Population)) * 100 AS Percentage FROM Canada; | gretelai_synthetic_text_to_sql |
CREATE TABLE Workers (ID INT, Age INT, Gender VARCHAR(10), Salary DECIMAL(5,2), Industry VARCHAR(20)); INSERT INTO Workers (ID, Age, Gender, Salary, Industry) VALUES (1, 42, 'Female', 50000.00, 'Textile'); INSERT INTO Workers (ID, Age, Gender, Salary, Industry) VALUES (2, 35, 'Male', 55000.00, 'Textile'); INSERT INTO W... | Update the salary of all workers in the 'Metalworking' industry who are female and under 35 years old to $70,000. | UPDATE Workers SET Salary = 70000.00 WHERE Industry = 'Metalworking' AND Gender = 'Female' AND Age < 35; | gretelai_synthetic_text_to_sql |
CREATE TABLE RuralClinics (ClinicID int, ClinicName varchar(50), State varchar(2)); CREATE TABLE HealthcareProfessionals (ProfessionalID int, ProfessionalName varchar(50), ClinicID int); INSERT INTO RuralClinics (ClinicID, ClinicName, State) VALUES (1, 'Rural Clinic A', 'TX'), (2, 'Rural Clinic B', 'TX'); INSERT INTO H... | What is the total number of rural clinics and their respective healthcare professionals in Texas? | SELECT RuralClinics.State, COUNT(DISTINCT RuralClinics.ClinicID) AS ClinicCount, COUNT(DISTINCT HealthcareProfessionals.ProfessionalID) AS ProfessionalCount FROM RuralClinics JOIN HealthcareProfessionals ON RuralClinics.ClinicID = HealthcareProfessionals.ClinicID WHERE RuralClinics.State = 'TX' | gretelai_synthetic_text_to_sql |
CREATE TABLE test_flights (manufacturer VARCHAR(20), test_flights INT); INSERT INTO test_flights (manufacturer, test_flights) VALUES ('Boeing', 50), ('Airbus', 40), ('Lockheed Martin', 30); | What is the number of test flights conducted by each aircraft manufacturer? | SELECT manufacturer, test_flights FROM test_flights; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (id INT, country VARCHAR(50), incident_count INT, incident_date DATE); INSERT INTO security_incidents (id, country, incident_count, incident_date) VALUES (1, 'USA', 25, '2022-01-01'), (2, 'Canada', 10, '2022-01-02'); | What are the top 5 countries with the most security incidents in the last month? | SELECT country, SUM(incident_count) as total_incidents FROM security_incidents WHERE incident_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY country ORDER BY total_incidents DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE middle_east_oil_production (month INT, year INT, region VARCHAR(50), oil_production FLOAT);CREATE TABLE middle_east_gas_production (month INT, year INT, region VARCHAR(50), gas_production FLOAT); INSERT INTO middle_east_oil_production VALUES (1, 2019, 'Middle East', 13000000); INSERT INTO middle_east_oil_p... | What are the monthly production figures for oil and gas in the Middle East region for the year 2019? | SELECT month, AVG(oil_production) AS avg_oil_production, AVG(gas_production) AS avg_gas_production FROM middle_east_oil_production INNER JOIN middle_east_gas_production ON middle_east_oil_production.month = middle_east_gas_production.month WHERE middle_east_oil_production.year = 2019 AND middle_east_oil_production.regi... | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists countries (country_name text); INSERT INTO countries (country_name) VALUES ('Australia'); | Update the name of the country 'Australia' to 'Australia (Oceania)' in the countries table. | UPDATE countries SET country_name = 'Australia (Oceania)' WHERE country_name = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE shariah_finance_uae (id INT, transaction_type VARCHAR(255), transaction_amount DECIMAL(10,2)); INSERT INTO shariah_finance_uae (id, transaction_type, transaction_amount) VALUES (1, 'Murabaha', 5000.00), (2, 'Ijara', 7000.00), (3, 'Takaful', 3000.00); | What is the average transaction amount for Shariah-compliant finance in the UAE? | SELECT AVG(transaction_amount) FROM shariah_finance_uae; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (donor_id INT, donation_amount DECIMAL, country TEXT); | What is the average donation size in Mexico? | SELECT AVG(donation_amount) FROM Donors WHERE country = 'Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE salmon_farms (id INT, name VARCHAR(50), location VARCHAR(50), water_temp DECIMAL(5,2)); INSERT INTO salmon_farms (id, name, location, water_temp) VALUES (1, 'Farm A', 'Norway', 8.5), (2, 'Farm B', 'Chile', 14.2), (3, 'Farm C', 'Scotland', 6.8); | What is the average water temperature in February for all salmon farms? | SELECT AVG(water_temp) FROM salmon_farms WHERE MONTH(location_data) = 2 AND location = 'salmon farms'; | gretelai_synthetic_text_to_sql |
CREATE TABLE factory_labor (factory VARCHAR(255), country VARCHAR(255), labor_cost DECIMAL(5,2)); INSERT INTO factory_labor (factory, country, labor_cost) VALUES ('Factory1', 'Vietnam', 4.00), ('Factory2', 'Vietnam', 4.50), ('Factory3', 'Vietnam', 5.00); CREATE TABLE circular_economy (factory VARCHAR(255), practice VAR... | Update the labor cost of factories in Vietnam that have not implemented circular economy practices to $5.00. | UPDATE factory_labor SET labor_cost = 5.00 WHERE country = 'Vietnam' AND factory NOT IN (SELECT factory FROM circular_economy WHERE practice = 'yes'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Farmers(FarmerID INT, Name VARCHAR(50), Location VARCHAR(50));CREATE TABLE OrganicFruits(FruitID INT, FarmerID INT, Type VARCHAR(50), Quantity INT);INSERT INTO Farmers VALUES (1, 'John Doe', 'Pacific Northwest');INSERT INTO OrganicFruits VALUES (1, 1, 'Apple', 200), (2, 1, 'Orange', 150); | What is the total quantity of organic apples and oranges supplied by farmers in the Pacific Northwest region? | SELECT Quantity FROM OrganicFruits WHERE Type IN ('Apple', 'Orange') AND FarmerID IN (SELECT FarmerID FROM Farmers WHERE Location = 'Pacific Northwest') | gretelai_synthetic_text_to_sql |
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