context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE financial_wellbeing (id INT, customer_name VARCHAR(50), region VARCHAR(50), score INT, year INT); INSERT INTO financial_wellbeing (id, customer_name, region, score, year) VALUES (1, 'Marco', 'Europe', 6, 2022), (2, 'Elena', 'Europe', 7, 2022); | What is the average financial wellbeing score for customers in Europe in 2022? | SELECT AVG(score) FROM financial_wellbeing WHERE region = 'Europe' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE Flights (FlightID INT, FlightNumber VARCHAR(50), Departure VARCHAR(50), Arrival VARCHAR(50), DepartureDate DATE, ArrivalDate DATE); INSERT INTO Flights (FlightID, FlightNumber, Departure, Arrival, DepartureDate, ArrivalDate) VALUES (1, 'FL101', 'NYC', 'LAX', '2022-02-01', '2022-02-04'); | Identify flights that have a delay of more than 24 hours. | SELECT FlightID, FlightNumber, Departure, Arrival, DepartureDate, (CASE WHEN DATEDIFF(ArrivalDate, DepartureDate) > 2 THEN 'Late' ELSE 'On-Time' END) AS DelayStatus FROM Flights; | gretelai_synthetic_text_to_sql |
CREATE TABLE ConstructionPermits (PermitID INT, City TEXT, IssueDate DATE); INSERT INTO ConstructionPermits (PermitID, City, IssueDate) VALUES (101, 'Seattle', '2023-01-01'), (102, 'Portland', '2023-01-02'), (103, 'Seattle', '2023-01-03'); | What is the total number of construction permits issued in the city of Seattle, WA? | SELECT COUNT(PermitID) FROM ConstructionPermits WHERE City = 'Seattle'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CountryScores (country_id INT, region VARCHAR(20), year INT, score INT); INSERT INTO CountryScores (country_id, region, year, score) VALUES (1, 'Africa', 2018, 70); INSERT INTO CountryScores (country_id, region, year, score) VALUES (2, 'Africa', 2018, 80); INSERT INTO CountryScores (country_id, region, yea... | What is the average sustainable tourism score for African countries in 2020? | SELECT AVG(score) FROM CountryScores WHERE region = 'Africa' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE trips_data (id INT, trip_type VARCHAR(20), trip_count INT); | What is the percentage of trips made using multimodal transportation in 'trips_data' table? | SELECT 100.0 * SUM(CASE WHEN trip_type = 'Multimodal' THEN trip_count ELSE 0 END) / SUM(trip_count) FROM trips_data; | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_impact (id INT, mine_id INT, year INT, co2_emissions INT, water_usage INT); INSERT INTO environmental_impact (id, mine_id, year, co2_emissions, water_usage) VALUES (5, 5, 2019, 30000, 700000); INSERT INTO environmental_impact (id, mine_id, year, co2_emissions, water_usage) VALUES (6, 6, 2020,... | What is the total water usage for each year in the coal mining industry? | SELECT YEAR(e.year) AS year, SUM(e.water_usage) AS total_water_usage FROM environmental_impact e JOIN mines m ON e.mine_id = m.id WHERE m.mineral = 'Coal' GROUP BY YEAR(e.year); | gretelai_synthetic_text_to_sql |
CREATE TABLE subscribers(id INT, plan_type VARCHAR(10), region VARCHAR(10)); INSERT INTO subscribers VALUES (1, 'unlimited', 'Southeastern'); INSERT INTO subscribers VALUES (2, 'limited', 'Northern'); INSERT INTO subscribers VALUES (3, 'unlimited', 'Northern'); CREATE TABLE plans(plan_type VARCHAR(10), price DECIMAL(5,... | What is the total revenue generated from the mobile subscribers with unlimited data plans in the Southeastern region for the month of July 2022? | SELECT SUM(plans.price) FROM subscribers INNER JOIN transactions ON subscribers.id = transactions.subscriber_id INNER JOIN plans ON subscribers.plan_type = plans.plan_type WHERE subscribers.region = 'Southeastern' AND subscribers.plan_type = 'unlimited' AND MONTH(transactions.transaction_date) = 7 AND YEAR(transactions... | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (id INT, name VARCHAR(255), organic BOOLEAN); INSERT INTO restaurants (id, name, organic) VALUES (1, 'Restaurant A', TRUE), (2, 'Restaurant B', FALSE), (3, 'Organic Garden', TRUE); CREATE TABLE dishes (id INT, name VARCHAR(255), type VARCHAR(255), restaurant_id INT); INSERT INTO dishes (id, nam... | Identify the unique vegetarian dishes served at organic restaurants. | SELECT d.name FROM dishes d JOIN restaurants r ON d.restaurant_id = r.id WHERE d.type = 'vegetarian' AND r.organic = TRUE GROUP BY d.name; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA arts; CREATE TABLE events (event_id INT, category VARCHAR(255), revenue DECIMAL(10,2), event_date DATE); INSERT INTO events (event_id, category, revenue, event_date) VALUES (1, 'Music', 5000, '2022-01-01'), (2, 'Theater', 7000, '2022-02-15'), (3, 'Dance', 3000, '2022-03-05'); | What is the total revenue by event category in the last quarter? | SELECT category, SUM(revenue) as total_revenue FROM events WHERE event_date >= DATEADD(quarter, -1, GETDATE()) GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (id INT, incident_type VARCHAR(50), resolution_time INT); INSERT INTO security_incidents (id, incident_type, resolution_time) VALUES (1, 'Malware', 120), (2, 'Phishing', 180); | What is the average time to resolve a security incident for each incident type? | SELECT incident_type, AVG(resolution_time) as avg_resolution_time FROM security_incidents GROUP BY incident_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_consumption(country VARCHAR(20), year INT, operation VARCHAR(20), water_consumption FLOAT); INSERT INTO water_consumption VALUES ('Canada', 2018, 'mining', 25000.5), ('Canada', 2019, 'mining', 26000.3), ('Canada', 2020, 'mining', 27000.2), ('Australia', 2018, 'mining', 30000.0), ('Australia', 2019, '... | Compute the average water consumption per mining operation in Canada and Australia | SELECT country, AVG(water_consumption) FROM water_consumption WHERE country IN ('Canada', 'Australia') AND operation = 'mining' GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE supplier_data (id INT PRIMARY KEY, supplier_name VARCHAR(20)); | How many unique suppliers are there in the 'supplier_data' table? | SELECT COUNT(DISTINCT supplier_name) FROM supplier_data; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (id INT, title VARCHAR(255), artist_name VARCHAR(255), is_sold BOOLEAN); | Delete records for works that were not sold. | DELETE FROM Artworks WHERE is_sold = FALSE; | gretelai_synthetic_text_to_sql |
CREATE TABLE eco_hotels (hotel_id INT, country VARCHAR(20), revenue FLOAT); INSERT INTO eco_hotels (hotel_id, country, revenue) VALUES (1, 'Germany', 7000.2), (2, 'Germany', 8000.1), (3, 'France', 4000.2); CREATE TABLE museum_visits (visit_id INT, country VARCHAR(20), amount FLOAT); INSERT INTO museum_visits (visit_id,... | What is the total revenue from eco-friendly hotels and museum visits in Germany? | SELECT SUM(revenue) FROM eco_hotels WHERE country = 'Germany' UNION ALL SELECT SUM(amount) FROM museum_visits WHERE country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_id INT, program_id INT, amount INT); CREATE TABLE donors (id INT, name TEXT, age INT); CREATE TABLE programs (id INT, name TEXT, location TEXT); INSERT INTO donations VALUES (1, 1, 1, 500), (2, 2, 2, 300), (3, 3, 1, 700), (4, 4, 2, 600); INSERT INTO donors VALUES (1, 'Abdul Rauf', ... | What's the total donation amount given to the Orphan Support program in Afghanistan and the Refugee Assistance program in Pakistan? | SELECT SUM(d.amount) FROM donations d INNER JOIN programs p ON d.program_id = p.id WHERE p.name IN ('Orphan Support', 'Refugee Assistance') AND p.location IN ('Afghanistan', 'Pakistan'); | gretelai_synthetic_text_to_sql |
CREATE TABLE AssetAllocation (AssetAllocationID INT, AssetID INT, AssetName VARCHAR(100), AllocationType VARCHAR(50), AllocationValue FLOAT); INSERT INTO AssetAllocation (AssetAllocationID, AssetID, AssetName, AllocationType, AllocationValue) VALUES (5, 3, 'Asset3', 'Security', 0.6), (6, 3, 'Asset3', 'Commodity', 0.4),... | What is the distribution of digital assets by type, for companies based in Africa? | SELECT AssetType, SUM(AllocationValue) as TotalValue FROM AssetAllocation INNER JOIN DigitalAsset ON AssetAllocation.AssetID = DigitalAsset.AssetID WHERE IssuerLocation = 'Africa' GROUP BY AssetType; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_sites (id INT, site_name VARCHAR(50), location VARCHAR(50), environmental_score FLOAT); INSERT INTO mining_sites (id, site_name, location, environmental_score) VALUES (1, 'Site A', 'Australia', 82.50); | List the mining sites in the 'Asia-Pacific' region with environmental impact scores above 85. | SELECT site_name, environmental_score FROM mining_sites WHERE location LIKE 'Asia-Pacific' AND environmental_score > 85.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_consumption (id INT, plant_location VARCHAR(50), consumption_date DATE, amount_consumed FLOAT); | What is the total amount of energy consumed by the chemical manufacturing plant located in Ontario in the past month? | SELECT SUM(amount_consumed) FROM energy_consumption WHERE plant_location = 'Ontario' AND consumption_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE teacher_training_subject (teacher_id INT, teacher_name TEXT, subject TEXT, num_workshops INT); | Which teachers have attended the most professional development workshops in each subject area? | SELECT subject, teacher_name, num_workshops, RANK() OVER (PARTITION BY subject ORDER BY num_workshops DESC) as rank FROM teacher_training_subject; | gretelai_synthetic_text_to_sql |
CREATE TABLE EnergySavingsBuilding (building_id INT, city VARCHAR(50), energy_savings INT); | What is the average energy savings per building, in 'EnergySavingsBuilding' table, grouped by city? | SELECT city, AVG(energy_savings) as avg_energy_savings FROM EnergySavingsBuilding GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE ethereum_transactions (transaction_id INT, token_type VARCHAR(255), transaction_value FLOAT, transaction_time DATETIME); | What is the total number of transactions and their respective values for the Ethereum network, grouped by token type, for the last week? | SELECT token_type, SUM(transaction_value) as total_value, COUNT(transaction_id) as total_transactions FROM ethereum_transactions WHERE transaction_time > DATE_SUB(CURRENT_TIMESTAMP(), INTERVAL 1 WEEK) GROUP BY token_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE appetizers (appetizer_name TEXT, category TEXT, quantity_sold INTEGER); INSERT INTO appetizers (appetizer_name, category, quantity_sold) VALUES ('Bruschetta', 'Organic', 25); INSERT INTO appetizers (appetizer_name, category, quantity_sold) VALUES ('Hummus Plate', 'Organic', 30); | What is the most popular appetizer in the 'Organic' category? | SELECT appetizer_name, MAX(quantity_sold) FROM appetizers WHERE category = 'Organic' GROUP BY appetizer_name ORDER BY quantity_sold DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID INT, DonorID INT, DonationAmount DECIMAL, Sector TEXT); | What is the average amount donated to each sector? | SELECT Sector, AVG(DonationAmount) AS AvgDonation FROM Donations GROUP BY Sector; | gretelai_synthetic_text_to_sql |
CREATE TABLE exports (id INT, cargo_weight INT, country VARCHAR(20), shipment_date DATE); INSERT INTO exports (id, cargo_weight, country, shipment_date) VALUES (1, 12000, 'Mexico', '2021-04-03'); INSERT INTO exports (id, cargo_weight, country, shipment_date) VALUES (2, 8000, 'Mexico', '2021-04-05'); INSERT INTO exports... | List the countries with more than 10000 kg of exported cargo in April 2021. | SELECT country FROM exports WHERE shipment_date >= '2021-04-01' AND shipment_date < '2021-05-01' GROUP BY country HAVING SUM(cargo_weight) > 10000; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessel_position (id INT, vessel_name VARCHAR(50), position_lat DECIMAL(9,6), position_lon DECIMAL(9,6), timestamp TIMESTAMP); | List the vessels and their last known positions in the 'vessel_position' table. | SELECT vessel_name, position_lat, position_lon FROM vessel_position ORDER BY timestamp DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name TEXT, last_volunteer_date DATE); INSERT INTO volunteers (id, name, last_volunteer_date) VALUES (1, 'Jim Brown', '2022-01-01'), (2, 'Mary Green', '2022-05-01'); | Delete volunteers who have not volunteered in the last 6 months. | DELETE FROM volunteers WHERE last_volunteer_date < NOW() - INTERVAL '6 months'; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (id INT PRIMARY KEY, name VARCHAR(255)); INSERT INTO regions (id, name) VALUES (1, 'Europe'); INSERT INTO regions (id, name) VALUES (2, 'North America'); CREATE TABLE species (id INT PRIMARY KEY, name VARCHAR(255)); INSERT INTO species (id, name) VALUES (1, 'Spruce'); INSERT INTO species (id, name)... | Update the carbon sequestration of 'Redwood' species in North America to 15,000,000. | UPDATE carbon_sequestration SET sequestration = 15000000 WHERE region_id = 2 AND species_id = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Threat_Intelligence (id INT PRIMARY KEY, indicator_type VARCHAR(255), indicator VARCHAR(255), date DATE, threat_level VARCHAR(50), patching_delay INT); INSERT INTO Threat_Intelligence (id, indicator_type, indicator, date, threat_level, patching_delay) VALUES (2, 'Software', 'Firefox 80.0', '2021-08-01', 'H... | What is the maximum patching delay for high-risk threat indicators? | SELECT MAX(patching_delay) FROM Threat_Intelligence WHERE threat_level = 'High'; | gretelai_synthetic_text_to_sql |
CREATE TABLE building_permits (permit_id INT, status VARCHAR(20)); | List all building permits with a status of 'pending' | SELECT * FROM building_permits WHERE status = 'pending'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT); CREATE TABLE posts (id INT, user_id INT, hashtags TEXT); | How many users have interacted with content related to the hashtag "#climatechange" in the last year? | SELECT COUNT(DISTINCT users.id) FROM users INNER JOIN posts ON users.id = posts.user_id WHERE FIND_IN_SET('climatechange', posts.hashtags) > 0 AND posts.created_at >= DATE_SUB(NOW(), INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE agri_projects (project_id INT, district_id INT, budget FLOAT, project_category VARCHAR(50)); INSERT INTO agri_projects (project_id, district_id, budget, project_category) VALUES (1, 14, 120000, 'Crop Research'), (2, 14, 80000, 'Livestock Research'), (3, 15, 180000, 'Farm Machinery'); | Update the budget for the 'Crop Research' project in district 14 to 130000. | UPDATE agri_projects SET budget = 130000 WHERE project_id = 1 AND district_id = 14; | gretelai_synthetic_text_to_sql |
CREATE TABLE platforms (id INT PRIMARY KEY, name VARCHAR(255)); CREATE TABLE users (id INT PRIMARY KEY, name VARCHAR(255), platform_id INT, country VARCHAR(255)); INSERT INTO platforms (id, name) VALUES (1, 'Spotify'); INSERT INTO users (id, name, platform_id, country) VALUES (1, 'Alice', 1, 'Japan'); INSERT INTO users... | How many users are there per platform in Asia? | SELECT p.name, COUNT(u.id) as user_count FROM platforms p INNER JOIN users u ON p.id = u.platform_id WHERE u.country LIKE 'Asia%' GROUP BY p.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage (usage_id INT, city VARCHAR(20), usage FLOAT, date DATE); INSERT INTO water_usage (usage_id, city, usage, date) VALUES (1, 'Los Angeles', 100000.0, '2022-01-01'), (2, 'Los Angeles', 110000.0, '2022-02-01'), (3, 'Los Angeles', 120000.0, '2021-03-01'); | What is the maximum daily water consumption for the city of Los Angeles in the past year? | SELECT MAX(usage) FROM water_usage WHERE city = 'Los Angeles' AND date > DATE_SUB(CURDATE(), INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (well_id varchar(10), field varchar(10), datetime date); INSERT INTO wells (well_id, field, datetime) VALUES ('W009', 'FieldH', '2018-01-01'), ('W010', 'FieldH', '2019-01-01'); | How many wells were drilled in 'FieldH' between 2017 and 2019? | SELECT COUNT(DISTINCT well_id) FROM wells WHERE field = 'FieldH' AND datetime BETWEEN '2017-01-01' AND '2019-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorney_title (case_id INT, attorney_title VARCHAR(50)); INSERT INTO attorney_title (case_id, attorney_title) VALUES (1, 'partner'), (2, 'associate'), (3, 'partner'); | What is the average billing amount for cases handled by attorneys with 'partner' title? | SELECT AVG(billing_amount) FROM billing_info WHERE case_id IN (SELECT case_id FROM attorney_title WHERE attorney_title = 'partner'); | gretelai_synthetic_text_to_sql |
CREATE TABLE production(year INT, region VARCHAR(20), element VARCHAR(10), quantity INT); INSERT INTO production VALUES(2020, 'Asia', 'Terbium', 1200), (2020, 'Europe', 'Terbium', 800), (2020, 'Africa', 'Terbium', 400); | What is the percentage of Terbium production that comes from the 'Asia' region in 2020? | SELECT (SUM(CASE WHEN region = 'Asia' THEN quantity ELSE 0 END) / SUM(quantity)) * 100.0 FROM production WHERE element = 'Terbium' AND year = 2020 | gretelai_synthetic_text_to_sql |
CREATE TABLE Games (GameID INT, Name VARCHAR(50), ReleaseYear INT); INSERT INTO Games (GameID, Name, ReleaseYear) VALUES (1, 'Game1', 2019); INSERT INTO Games (GameID, Name, ReleaseYear) VALUES (2, 'Game2', 2020); CREATE TABLE VRGames (VRGameID INT, GameID INT); INSERT INTO VRGames (VRGameID, GameID) VALUES (1, 1); INS... | Which VR games were released in 2020? | SELECT Games.Name FROM Games INNER JOIN VRGames ON Games.GameID = VRGames.GameID WHERE Games.ReleaseYear = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE resource_depletion (metric_id INT, metric_name VARCHAR(30), year INT, value INT); INSERT INTO resource_depletion (metric_id, metric_name, year, value) VALUES (1, 'Water Consumption', 2019, 25000), (2, 'Energy Usage', 2019, 30000), (3, 'Water Consumption', 2020, 26000), (4, 'Energy Usage', 2020, 32000), (5,... | Show resource depletion metrics for the past 3 years. | SELECT year, metric_name, value FROM resource_depletion WHERE year BETWEEN YEAR(CURRENT_DATE) - 3 AND YEAR(CURRENT_DATE) | gretelai_synthetic_text_to_sql |
CREATE TABLE harvest (year INT, region VARCHAR(255), timber_type VARCHAR(255), volume FLOAT); | update the harvest table to reflect a timber volume of 1200 cubic meters for pine in the region 'North' for the year 2020 | UPDATE harvest SET volume = 1200 WHERE year = 2020 AND region = 'North' AND timber_type = 'Pine'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Bridges (id INT, name TEXT, region TEXT, length FLOAT); INSERT INTO Bridges (id, name, region, length) VALUES (1, 'BridgeX', 'Northeast', 2500.00), (2, 'BridgeY', 'Midwest', 3100.50), (3, 'BridgeZ', 'Midwest', 1800.25); | Identify the total number of bridges in 'Northeast' and 'Midwest' regions. | SELECT COUNT(*) FROM Bridges WHERE region IN ('Northeast', 'Midwest'); | gretelai_synthetic_text_to_sql |
CREATE TABLE RiskAssessments (AssessmentID INT, Contractor VARCHAR(255), Country VARCHAR(255), Quarter VARCHAR(10), Year INT); INSERT INTO RiskAssessments (AssessmentID, Contractor, Country, Quarter, Year) VALUES (1, 'Contractor P', 'Country D', 'Q2', 2021); | Identify the geopolitical risk assessments that occurred between Contractor P and Country D. | SELECT * FROM RiskAssessments WHERE Contractor = 'Contractor P' AND Country = 'Country D'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ProductShipping (product_id INT, shipping_cost DECIMAL(10,2), supplier_country VARCHAR(50)); CREATE TABLE FairTradeSuppliers (supplier_id INT, supplier_country VARCHAR(50)); | What is the average shipping cost for products from fair trade suppliers in Europe? | SELECT AVG(ps.shipping_cost) FROM ProductShipping ps INNER JOIN FairTradeSuppliers fs ON ps.product_id = fs.supplier_id WHERE fs.supplier_country = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sensor (id INT, location VARCHAR(50)); INSERT INTO sensor (id, location) VALUES (1, '45.234, 12.345'), (2, '32.542, 76.890'), (3, '16.892, 34.564'); | List all the unique sensor IDs and their corresponding locations. | SELECT id, location FROM sensor; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft (id INT PRIMARY KEY, name VARCHAR(50), engine VARCHAR(50), status VARCHAR(10)); | What are the spacecraft engines that have been decommissioned? | SELECT engine FROM spacecraft WHERE status = 'decommissioned'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Water_Consumption_Records (Mine_Name VARCHAR(50), Water_Consumption FLOAT, Year INT); INSERT INTO Water_Consumption_Records (Mine_Name, Water_Consumption, Year) VALUES ('Amethyst Ascent', 25000.0, 2019), ('Turquoise Terrace', 27000.1, 2019), ('Topaz Tops', 23000.5, 2019); | Select the name of the mine with the lowest water consumption in the most recent year. | SELECT Mine_Name FROM Water_Consumption_Records WHERE Water_Consumption = (SELECT MIN(Water_Consumption) FROM Water_Consumption_Records) AND Year = (SELECT MAX(Year) FROM Water_Consumption_Records); | gretelai_synthetic_text_to_sql |
CREATE TABLE ride_hailing_companies (id INT, name VARCHAR(50)); CREATE TABLE electric_vehicles (id INT, company_id INT, manufacturer VARCHAR(50), vehicle_count INT); INSERT INTO ride_hailing_companies (id, name) VALUES (1, 'Company A'), (2, 'Company B'), (3, 'Company C'); INSERT INTO electric_vehicles (id, company_id, ... | What is the market share of electric vehicles by manufacturer in the ride-hailing industry? | SELECT rhc.name, (EV.electric_vehicle_count / SUM(EV.electric_vehicle_count)) * 100 AS market_share FROM ride_hailing_companies rhc CROSS JOIN (SELECT SUM(vehicle_count) AS electric_vehicle_count FROM electric_vehicles ev WHERE ev.manufacturer = rhc.name) EV GROUP BY rhc.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT, species_name VARCHAR(50), ocean VARCHAR(50), region VARCHAR(50)); | What are the names of the marine species that are found in the same regions as the 'shark' species in the 'marine_species' table? | SELECT ms.species_name FROM marine_species ms JOIN marine_species shark ON ms.region = shark.region WHERE shark.species_name = 'shark'; | gretelai_synthetic_text_to_sql |
CREATE TABLE athlete_wellbeing (athlete_id INT, wellbeing_program VARCHAR(20)); INSERT INTO athlete_wellbeing (athlete_id, wellbeing_program) VALUES (1, 'Yoga'), (2, 'Meditation'), (3, 'Stretching'); | Insert a new record into the 'athlete_wellbeing' table with athlete_id 4 and wellbeing_program 'Pilates' | INSERT INTO athlete_wellbeing (athlete_id, wellbeing_program) VALUES (4, 'Pilates'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_operations (id INT, first_name VARCHAR(50), last_name VARCHAR(50), job_title VARCHAR(50), department VARCHAR(50), PRIMARY KEY (id)); INSERT INTO mining_operations (id, first_name, last_name, job_title, department, salary) VALUES (1, 'John', 'Doe', 'Engineer', 'Mining', 80000.00), (2, 'Jane', 'Doe', ... | Delete all records from the 'mining_operations' table where the department is 'Environment' and the employee's salary is greater than $90,000? | DELETE FROM mining_operations WHERE department = 'Environment' AND salary > 90000.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_storage (name TEXT, state TEXT, capacity FLOAT); INSERT INTO energy_storage (name, state, capacity) VALUES ('Moss Landing', 'California', 1500.0), ('Battery Storage Project', 'California', 1000.0); | What is the maximum energy storage capacity (MWh) in California? | SELECT MAX(capacity) FROM energy_storage WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Budget(Year INT, Category VARCHAR(20), City VARCHAR(20), Amount INT); INSERT INTO Budget VALUES (2018, 'Education', 'CityA', 5000), (2018, 'Education', 'CityB', 7000), (2019, 'Education', 'CityA', 5500), (2019, 'Education', 'CityB', 7500), (2020, 'Education', 'CityA', 6000), (2020, 'Education', 'CityB', 80... | What was the total budget allocated for education in 2020 across all cities? | SELECT SUM(Amount) FROM Budget WHERE Year = 2020 AND Category = 'Education'; | gretelai_synthetic_text_to_sql |
CREATE TABLE properties (property_id INT, name VARCHAR(255), address VARCHAR(255), city VARCHAR(255), housing_affordability_score INT, sold_date DATE); INSERT INTO properties (property_id, name, address, city, housing_affordability_score, sold_date) VALUES (1, 'The Affordable Apartment', '123 Main St', 'San Francisco',... | List the names and addresses of properties in the city of San Francisco with a housing affordability score above 80 that have been sold in the past month. | SELECT name, address FROM properties WHERE city = 'San Francisco' AND housing_affordability_score > 80 AND sold_date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE astronauts (id INT, name VARCHAR(50), medical_record_id INT);CREATE TABLE missions (id INT, destination VARCHAR(50));CREATE TABLE medical_records (id INT, astronaut_id INT, medical_issues INT); INSERT INTO astronauts VALUES (1, 'Melissa Lewis', 101); INSERT INTO missions VALUES (1, 'Mars'); INSERT INTO med... | How many medical issues have been recorded for each astronaut during missions to Mars? | SELECT astronauts.name, COUNT(medical_records.medical_issues) as mars_medical_issues FROM astronauts INNER JOIN medical_records ON astronauts.medical_record_id = medical_records.id INNER JOIN missions ON astronauts.id = missions.id WHERE missions.destination = 'Mars' GROUP BY astronauts.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE unions (id INT, name TEXT, state TEXT, members INT); INSERT INTO unions (id, name, state, members) VALUES (1, 'Union A', 'Texas', 700), (2, 'Union B', 'Texas', 800), (3, 'Union C', 'California', 300); | What is the maximum number of members in a union based in Texas? | SELECT MAX(members) FROM unions WHERE state = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainableClothing (clothing_id INT, clothing_name VARCHAR(50), price DECIMAL(5,2), quantity INT); CREATE TABLE ClothingSales (sale_id INT, clothing_id INT, sale_country VARCHAR(50)); INSERT INTO SustainableClothing (clothing_id, clothing_name, price, quantity) VALUES (1, 'Organic Cotton Shirt', 25.00, 10... | What is the total revenue generated from sustainable clothing sales in Europe? | SELECT SUM(s.price * s.quantity) FROM SustainableClothing s INNER JOIN ClothingSales cs ON s.clothing_id = cs.clothing_id WHERE cs.sale_country = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CarbonOffsets (id INT, program_name TEXT, region TEXT, start_date DATE, end_date DATE); | How many carbon offset programs are there in 'CarbonOffsets' table, by region? | SELECT region, COUNT(*) FROM CarbonOffsets GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE VehicleSpecs (VehicleID INT, Model TEXT, Year INT, Range INT); | What is the average electric vehicle range for models released in 2021 and 2022? | SELECT AVG(Range) FROM VehicleSpecs WHERE Year IN (2021, 2022) AND Model LIKE '%electric%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE students(id INT, program VARCHAR(255), gpa DECIMAL(3,2)); INSERT INTO students VALUES (1, 'mental health', 3.7), (2, 'mental health', 2.8), (3, 'physical health', 3.9), (4, 'mental health', 4.0); | How many students in the mental health program have a GPA greater than or equal to 3.5? | SELECT COUNT(*) FROM students WHERE program = 'mental health' AND gpa >= 3.5; | gretelai_synthetic_text_to_sql |
CREATE TABLE MusicSales (SaleID INT, AlbumName VARCHAR(20), Genre VARCHAR(10), SalesAmount DECIMAL(10,2)); INSERT INTO MusicSales (SaleID, AlbumName, Genre, SalesAmount) VALUES (1, 'Ella Fitzgerald Sings the Song Books', 'Jazz', 12.99), (2, 'The Beatles 1962-1966', 'Rock', 15.00), (3, 'Sweetener', 'Pop', 7.45), (4, 'th... | Who are the top 3 albums with the highest revenue from digital music sales? | SELECT AlbumName, SUM(SalesAmount) as TotalRevenue FROM MusicSales GROUP BY AlbumName ORDER BY TotalRevenue DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE transportation.vehicle_details (vehicle_type VARCHAR(20), autonomous_vehicle BOOLEAN, electric_vehicle BOOLEAN); | What is the total number of autonomous and electric vehicles in the 'vehicle_details' table? | SELECT SUM(CASE WHEN autonomous_vehicle = TRUE THEN 1 ELSE 0 END) + SUM(CASE WHEN electric_vehicle = TRUE THEN 1 ELSE 0 END) FROM transportation.vehicle_details; | gretelai_synthetic_text_to_sql |
CREATE TABLE taxi_fleet (fleet_id INT, city VARCHAR(255), vehicle_type VARCHAR(255)); INSERT INTO taxi_fleet (fleet_id, city, vehicle_type) VALUES (1, 'NYC', 'Sedan'), (2, 'LA', 'Wheelchair van'), (3, 'Chicago', 'Sedan'), (4, 'Houston', 'Minivan'); | How many accessible vehicles are available in the taxi fleet? | SELECT COUNT(*) FROM taxi_fleet WHERE vehicle_type IN ('Wheelchair van', 'Accessible minivan'); | gretelai_synthetic_text_to_sql |
CREATE TABLE south_china_sea (id INT, well_name VARCHAR(255), drill_date DATE, production_oil INT); | What is the total number of wells that were drilled in the South China Sea before 2015, and what is the total amount of oil they produced? | SELECT COUNT(*) as total_wells, SUM(production_oil) as total_oil_produced FROM south_china_sea WHERE drill_date < '2015-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE first_satellites (satellite_name TEXT, launch_date DATE); INSERT INTO first_satellites (satellite_name, launch_date) VALUES ('Sputnik 1', '1957-10-04'), ('Explorer 1', '1958-01-31'); | What is the name of the first satellite launched into space? | SELECT satellite_name FROM first_satellites ORDER BY launch_date LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, sector VARCHAR(20), amount DECIMAL(10,2)); INSERT INTO investments (id, sector, amount) VALUES (1, 'poverty reduction', 15000.00), (2, 'poverty reduction', 18000.00), (3, 'education', 22000.00); | What is the minimum investment made in the poverty reduction sector? | SELECT MIN(amount) FROM investments WHERE sector = 'poverty reduction'; | gretelai_synthetic_text_to_sql |
CREATE TABLE arctic_biodiversity (id INTEGER, species_name TEXT, biomass FLOAT, animal_class TEXT); | What is the total biomass of mammals and birds in the 'arctic_biodiversity' table? | SELECT animal_class, SUM(biomass) as total_biomass FROM arctic_biodiversity WHERE animal_class IN ('mammals', 'birds') GROUP BY animal_class; | gretelai_synthetic_text_to_sql |
CREATE TABLE patient (patient_id INT, age INT, gender TEXT, ethnicity TEXT, condition TEXT); INSERT INTO patient (patient_id, age, gender, ethnicity, condition) VALUES (1, 35, 'Female', 'Hispanic', 'Anxiety Disorder'); INSERT INTO patient (patient_id, age, gender, ethnicity, condition) VALUES (2, 42, 'Male', 'African A... | What are the patient demographics for those diagnosed with anxiety disorders? | SELECT age, gender, ethnicity FROM patient WHERE condition = 'Anxiety Disorder'; | gretelai_synthetic_text_to_sql |
CREATE TABLE habitat_preservation (id INT, animal_id INT, location VARCHAR(50), acres FLOAT);INSERT INTO habitat_preservation (id, animal_id, location, acres) VALUES (1, 1, 'Asia', 10000), (2, 2, 'Africa', 15000);CREATE TABLE animal_population (id INT, species VARCHAR(50), population INT);INSERT INTO animal_population ... | What is the average acres of habitat preserved per animal species? | SELECT AVG(h.acres) FROM habitat_preservation h JOIN animal_population ap ON h.animal_id = ap.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE devices (id INT, price FLOAT, disability_access BOOLEAN); INSERT INTO devices (id, price, disability_access) VALUES (1, 500.00, true), (2, 300.00, false), (3, 600.00, true); | What is the average price of devices for users with disabilities? | SELECT AVG(price) FROM devices WHERE disability_access = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE Shipment (shipment_id INT, container_id INT, port_id INT, shipping_date DATE, arrival_date DATE); CREATE TABLE Container (container_id INT, weight FLOAT); | What is the number of containers that were delayed for more than 7 days in the past month from the Port of Valparaíso to Chile? | SELECT COUNT(*) FROM Container c JOIN Shipment s ON c.container_id = s.container_id WHERE s.arrival_date >= NOW() - INTERVAL '1 month' AND s.port_id = (SELECT port_id FROM Port WHERE port_name = 'Port of Valparaíso') AND s.arrival_date - s.shipping_date > 7 AND (SELECT country FROM Port WHERE port_id = s.port_id) = 'Ch... | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (tour_id INT, booking_date DATE); INSERT INTO virtual_tours (tour_id, booking_date) VALUES (1, '2022-01-01'), (2, '2022-01-02'), (3, '2022-01-03'), (4, '2022-01-04'), (5, '2022-01-05'), (6, '2022-01-06'), (7, '2022-01-07'), (8, '2022-01-08'), (9, '2022-01-09'), (10, '2022-01-10'); | Find the average virtual tour bookings per day? | SELECT AVG(total_days) FROM (SELECT COUNT(DISTINCT booking_date) AS total_days FROM virtual_tours); | gretelai_synthetic_text_to_sql |
CREATE TABLE traditional_arts_centers_city (id INT, center_name VARCHAR(100), size INT, city VARCHAR(50)); INSERT INTO traditional_arts_centers_city (id, center_name, size, city) VALUES (1, 'Folk Arts Center', 2000, 'Boston'), (2, 'Western Arts Center', 3000, 'Chicago'); | What is the average size of traditional arts centers by city? | SELECT city, AVG(size) as avg_size FROM traditional_arts_centers_city GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE Unions (UnionID INT, UnionName TEXT); CREATE TABLE Accidents (AccidentID INT, UnionID INT, AccidentDate DATE); | What is the average number of workplace accidents per year for each union? | SELECT u.UnionName, AVG(YEAR(a.AccidentDate)) AS AvgYear, AVG(NumberOfAccidents) AS AvgAccidentsPerYear FROM Unions u INNER JOIN Accidents a ON u.UnionID = a.UnionID GROUP BY u.UnionName; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists mining;CREATE TABLE mining.plant (id INT, name STRING, location STRING, num_employees INT);INSERT INTO mining.plant (id, name, location, num_employees) VALUES (1, 'processing_plant', 'Canada', 200), (2, 'refinery', 'Canada', 150), (3, 'refinery', 'USA', 100), (4, 'processing_plant', 'USA', 2... | Present the total number of employees in each location. | SELECT location, SUM(num_employees) FROM mining.plant GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE cargo_handling (port_id INT, port_name VARCHAR(50), teu_count INT, handling_date DATE); INSERT INTO cargo_handling (port_id, port_name, teu_count, handling_date) VALUES (1, 'Port_A', 2000, '2022-01-03'), (2, 'Port_B', 3000, '2022-01-02'), (3, 'Port_C', 1000, '2022-01-01'); | What is the total TEU handling for each port in the cargo_handling table, ordered by handling date in descending order? | SELECT port_name, SUM(teu_count) OVER (PARTITION BY port_name ORDER BY handling_date DESC) as total_teu FROM cargo_handling; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage_metrics (year INT, month INT, sector VARCHAR(20), usage FLOAT); INSERT INTO water_usage_metrics (year, month, sector, usage) VALUES (2021, 1, 'residential', 15000); | What is the total water usage in MWh for residential sector in January 2021? | SELECT SUM(usage) FROM water_usage_metrics WHERE year = 2021 AND month = 1 AND sector = 'residential'; | gretelai_synthetic_text_to_sql |
CREATE TABLE artworks (id INT, title TEXT, year INT, artist_id INT); INSERT INTO artworks (id, title, year, artist_id) VALUES (1, 'Artwork 1', 1901, 1), (2, 'Artwork 2', 1950, 2), (3, 'Artwork 3', 1985, 3); | How many artworks were created in the 20th century? | SELECT COUNT(*) FROM artworks WHERE year BETWEEN 1901 AND 2000; | gretelai_synthetic_text_to_sql |
CREATE TABLE languages (id INT PRIMARY KEY, name VARCHAR(255), region VARCHAR(255), status VARCHAR(255)); | Insert a new language into the 'languages' table | INSERT INTO languages (id, name, region, status) VALUES (1, 'Quechua', 'Andes', 'Vulnerable'); | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (title VARCHAR(255), genre VARCHAR(50), budget INT, release_year INT); CREATE TABLE tv_shows (title VARCHAR(255), genre VARCHAR(50), budget INT, release_year INT); INSERT INTO movies (title, genre, budget, release_year) VALUES ('Movie4', 'Comedy', 25000000, 2018), ('Movie5', 'Drama', 30000000, 2020)... | Find the average budget for TV shows and movies released in the last 5 years | SELECT AVG(budget) FROM (SELECT budget FROM movies WHERE release_year >= (SELECT YEAR(CURRENT_DATE()) - 5) UNION ALL SELECT budget FROM tv_shows WHERE release_year >= (SELECT YEAR(CURRENT_DATE()) - 5)) as combined; | gretelai_synthetic_text_to_sql |
CREATE TABLE graduate_students (id INT, name VARCHAR(50), department VARCHAR(50), enrollment_date DATE); CREATE TABLE publications (id INT, student_id INT, title VARCHAR(100), publication_date DATE); | What is the total number of publications for each graduate student in the Physics department? | SELECT student_id, COUNT(*) FROM publications WHERE student_id IN (SELECT id FROM graduate_students WHERE department = 'Physics') GROUP BY student_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE content_trends (content_id INT, user_country VARCHAR(50), user_engagement INT); | Find the top 3 countries with the most user engagement in 'content_trends' table? | SELECT user_country, SUM(user_engagement) FROM content_trends GROUP BY user_country ORDER BY SUM(user_engagement) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE primary_care (patient_id INT, patient_gender VARCHAR(10), age_group INT, service_date DATE); INSERT INTO primary_care (patient_id, patient_gender, age_group, service_date) VALUES (1, 'Male', 0, '2020-01-01'), (2, 'Female', 1, '2020-01-02'), (3, 'Male', 2, '2020-01-03'); | What is the number of males and females who accessed primary care services by age group? | SELECT age_group, patient_gender, COUNT(*) as patient_count FROM primary_care GROUP BY age_group, patient_gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE posts (id INT, content TEXT, user_id INT, created_at TIMESTAMP); CREATE TABLE comments (id INT, post_id INT, user_id INT, comment TEXT, created_at TIMESTAMP); | What is the average response time for posts with more than 100 comments? | SELECT AVG(DATEDIFF(hour, comments.created_at, posts.created_at)) as average_response_time FROM posts JOIN comments ON posts.id = comments.post_id GROUP BY posts.id HAVING COUNT(comments.id) > 100 ORDER BY average_response_time DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE faculties (faculty_id INT, name VARCHAR(50), department VARCHAR(20)); INSERT INTO faculties (faculty_id, name, department) VALUES (1, 'Jose Hernandez', 'Mathematics'), (2, 'Sofia Rodriguez', 'Mathematics'), (3, 'Ali Al-Sayed', 'Physics'); CREATE TABLE research_grants (grant_id INT, title VARCHAR(50), amoun... | What is the average number of research grants awarded per faculty member in the "Mathematics" department? | SELECT AVG(rg.amount) FROM research_grants rg JOIN faculties f ON rg.faculty_id = f.faculty_id WHERE f.department = 'Mathematics'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT, species VARCHAR(255)); INSERT INTO marine_species (id, species) VALUES (1, 'Dolphin'), (2, 'Shark'), (3, 'Turtle'); CREATE TABLE pollution_control (id INT, species_id INT, initiative VARCHAR(255)); INSERT INTO pollution_control (id, species_id, initiative) VALUES (1, 1, 'Beach Clean... | List all unique pollution control initiatives and their corresponding marine species. | SELECT pollution_control.initiative, marine_species.species FROM pollution_control INNER JOIN marine_species ON pollution_control.species_id = marine_species.id GROUP BY pollution_control.initiative, marine_species.species; | gretelai_synthetic_text_to_sql |
CREATE TABLE courses (course_id INT, course_name TEXT); CREATE TABLE enrollments (enrollment_id INT, student_id INT, course_id INT, enrollment_date DATE); INSERT INTO courses VALUES (1, 'Algebra I'), (2, 'Geometry'), (3, 'Algebra II'); INSERT INTO enrollments VALUES (1, 1, 1, '2021-08-01'), (2, 2, 1, '2021-08-01'), (3,... | What is the total number of students who have ever enrolled in each course? | SELECT c.course_name, COUNT(DISTINCT e.student_id) FROM courses c INNER JOIN enrollments e ON c.course_id = e.course_id GROUP BY c.course_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (exhibition_id INT, location VARCHAR(20)); INSERT INTO Exhibitions (exhibition_id, location) VALUES (1, 'Rio de Janeiro'), (2, 'Sao Paulo'); CREATE TABLE Visitors (visitor_id INT, exhibition_id INT, age INT); INSERT INTO Visitors (visitor_id, exhibition_id, age) VALUES (1, 1, 25), (2, 1, 30), (... | What is the minimum age of visitors who attended exhibitions in Rio de Janeiro? | SELECT MIN(age) FROM Visitors v JOIN Exhibitions e ON v.exhibition_id = e.exhibition_id WHERE e.location = 'Rio de Janeiro'; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_generation ( id INT PRIMARY KEY, region VARCHAR(50), year INT, metric DECIMAL(5,2)); | Insert data into the table 'waste_generation' | INSERT INTO waste_generation (id, region, year, metric) VALUES (1, 'Mumbai', 2018, 5678.90), (2, 'Mumbai', 2019, 6001.12), (3, 'Tokyo', 2018, 3456.78), (4, 'Tokyo', 2019, 3501.09); | gretelai_synthetic_text_to_sql |
CREATE TABLE delete_environment_cause (cause_id INT, cause_name VARCHAR(50), donation_amount DECIMAL(10, 2)); INSERT INTO delete_environment_cause (cause_id, cause_name, donation_amount) VALUES (3, 'Environment', 15000.00); | Delete the 'Environment' cause. | DELETE FROM delete_environment_cause WHERE cause_id = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE CitizenFeedback (ID INT, PoliceStationID INT, Feedback TEXT, Timestamp DATETIME); | Delete a record from the "CitizenFeedback" table based on the provided criteria | WITH feedback_to_delete AS (DELETE FROM CitizenFeedback WHERE ID = 1001 AND PoliceStationID = 5001 AND Timestamp < '2022-01-01 00:00:00' RETURNING ID, PoliceStationID, Feedback, Timestamp) SELECT * FROM feedback_to_delete; | gretelai_synthetic_text_to_sql |
CREATE TABLE GreenBuildings (id INT, building_name VARCHAR(100), certification_level VARCHAR(50), city VARCHAR(50), state VARCHAR(50), country VARCHAR(50), carbon_offset INT); | Show the average carbon offset of buildings in 'NY' state | SELECT AVG(carbon_offset) FROM GreenBuildings WHERE state = 'NY'; | gretelai_synthetic_text_to_sql |
CREATE TABLE digital_assets (asset_id INT, name VARCHAR(20), sector VARCHAR(20)); INSERT INTO digital_assets (asset_id, name, sector) VALUES (1, 'Eversmart', 'Payment'); | Update the sector of digital asset 'Eversmart' to 'Supply Chain | UPDATE digital_assets SET sector = 'Supply Chain' WHERE name = 'Eversmart'; | gretelai_synthetic_text_to_sql |
CREATE TABLE biosensors (id INT, name VARCHAR(50), target VARCHAR(50)); INSERT INTO biosensors VALUES (1, 'BioSensorG', 'Neuropeptide Y'); INSERT INTO biosensors VALUES (2, 'BioSensorH', 'Insulin'); INSERT INTO biosensors VALUES (3, 'BioSensorI', 'Glucose'); | Delete all biosensors that are not designed for monitoring Neuropeptide Y. | DELETE FROM biosensors WHERE target != 'Neuropeptide Y'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_use_cases (use_case_id INT, use_case TEXT); INSERT INTO ai_use_cases (use_case_id, use_case) VALUES (1, 'Chatbots'), (2, 'Predictive Maintenance'), (3, 'Personalized Recommendations'), (4, 'Automated Check-in'), (5, 'Voice Assistants'); CREATE TABLE hospitality_companies (company_id INT, company_name TE... | What are the most common AI use cases in the hospitality industry? | SELECT use_case FROM ai_use_cases INNER JOIN hospitality_companies ON ai_use_cases.use_case_id = hospitality_companies.ai_use_case_id GROUP BY use_case ORDER BY COUNT(*) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE consumer_feedback(feedback_id INT, product_id INT, feedback VARCHAR(100), feedback_date DATE); | Which cosmetics products received the most positive consumer feedback in the past month? | SELECT product_id, COUNT(*) as positive_feedback_count FROM consumer_feedback WHERE feedback IN ('very satisfied', 'satisfied') AND feedback_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY product_id ORDER BY positive_feedback_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE infectious_disease_reporting (id INT, city TEXT, year INT, num_cases INT); INSERT INTO infectious_disease_reporting (id, city, year, num_cases) VALUES (1, 'New York City', 2021, 5000), (2, 'New York City', 2020, 3000), (3, 'Los Angeles', 2021, 4000), (4, 'Los Angeles', 2020, 2500); | How many infectious disease cases were reported in New York City in 2021? | SELECT SUM(num_cases) FROM infectious_disease_reporting WHERE city = 'New York City' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE art_exhibitions (exhibition_id INT, exhibition_name VARCHAR(50), visitor_count INT, age_group VARCHAR(20)); | What is the total number of visitors by age group for all art exhibitions? | SELECT age_group, SUM(visitor_count) as total_visitors FROM art_exhibitions GROUP BY age_group; | gretelai_synthetic_text_to_sql |
CREATE TABLE RDExpenses (Department varchar(50), Expenditure decimal(18,2)); INSERT INTO RDExpenses (Department, Expenditure) VALUES ('Research', 5000000.00), ('Development', 6000000.00), ('ClinicalTrials', 7000000.00), ('Regulatory', 4000000.00); | What is the total R&D expenditure for each department, ranked by total R&D expenditure? | SELECT Department, Expenditure, ROW_NUMBER() OVER (ORDER BY Expenditure DESC) as ExpenseRank FROM RDExpenses; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, cause TEXT, donor TEXT, donation_amount DECIMAL(10,2)); INSERT INTO donations (id, cause, donor, donation_amount) VALUES (1, 'Cause A', 'Donor 1', 50.00), (2, 'Cause B', 'Donor 2', 100.00), (3, 'Cause A', 'Donor 3', 25.00); | What is the total donation amount for each cause, for causes that have received donations from at least 100 unique donors? | SELECT cause, SUM(donation_amount) as total_donations FROM donations GROUP BY cause HAVING COUNT(DISTINCT donor) > 100; | gretelai_synthetic_text_to_sql |
CREATE TABLE materials (material_id INT, material_name VARCHAR(255), co2_emission INT); INSERT INTO materials (material_id, material_name, co2_emission) VALUES (1, 'Organic cotton', 5), (2, 'Conventional cotton', 10), (3, 'Recycled polyester', 8); | What is the total CO2 emission of each material type, sorted by the highest emission first? | SELECT material_name, SUM(co2_emission) as total_emission FROM materials GROUP BY material_name ORDER BY total_emission DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE DrillingRigs (RigName TEXT, Location TEXT, ActiveDays INT, Date DATE); INSERT INTO DrillingRigs (RigName, Location, ActiveDays, Date) VALUES ('Rig1', 'North Sea', 25, '2019-01-01'), ('Rig2', 'North Sea', 28, '2019-02-01'); | How many drilling rigs were active in the North Sea in each month of 2019? | SELECT COUNT(*) AS ActiveRigs, EXTRACT(MONTH FROM Date) AS Month FROM DrillingRigs WHERE Location = 'North Sea' GROUP BY Month; | gretelai_synthetic_text_to_sql |
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