context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE users (id INT, username VARCHAR(50), last_login TIMESTAMP); | What's the number of users who logged in for the first time in the last week in the 'gaming' schema? | SELECT COUNT(*) FROM users WHERE last_login >= DATE_SUB(NOW(), INTERVAL 1 WEEK) AND last_login < NOW(); | gretelai_synthetic_text_to_sql |
CREATE TABLE digital_divide (id INT PRIMARY KEY, problem VARCHAR(50), description TEXT); INSERT INTO digital_divide (id, problem, description) VALUES (1, 'Lack of internet access', 'High-speed internet unavailable in many rural areas'), (2, 'Expensive devices', 'Cost of devices is a barrier for low-income households'),... | Insert a new record into the 'digital_divide' table with an id of 4, a problem of 'Lack of digital resources in schools', and a description of 'Many schools do not have access to digital resources' | INSERT INTO digital_divide (id, problem, description) VALUES (4, 'Lack of digital resources in schools', 'Many schools do not have access to digital resources'); | gretelai_synthetic_text_to_sql |
CREATE TABLE chicago_events(id INT, category VARCHAR(30), attendees INT); INSERT INTO chicago_events VALUES (1, 'Theater', 600); INSERT INTO chicago_events VALUES (2, 'Concert', 400); | What is the number of performances in each category that had more than 500 attendees in Chicago? | SELECT category, COUNT(*) FROM chicago_events WHERE attendees > 500 GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Fields (id INT PRIMARY KEY, name VARCHAR(255), acres FLOAT, location VARCHAR(255)); INSERT INTO Fields (id, name, acres, location) VALUES (1, 'FieldA', 5.6, 'US-MN'), (2, 'FieldB', 3.2, 'US-CA'); CREATE TABLE Satellite_Imagery (id INT PRIMARY KEY, location VARCHAR(255), nitrogen_level FLOAT); INSERT INTO S... | Which fields have nitrogen_level greater than 4.5 and temperature lower than 25.0? | SELECT Fields.name FROM Fields INNER JOIN Satellite_Imagery ON Fields.location = Satellite_Imagery.location INNER JOIN IoT_Sensors ON Fields.id = IoT_Sensors.Field_id WHERE Satellite_Imagery.nitrogen_level > 4.5 AND IoT_Sensors.temperature < 25.0; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_model (id INT, name VARCHAR(255), type VARCHAR(255), fairness_score FLOAT); INSERT INTO ai_model (id, name, type, fairness_score) VALUES (1, 'AdaNet', 'Supervised Learning', 0.85), (2, 'DeepDetect', 'Deep Learning', 0.90), (3, 'XGBoost', 'Supervised Learning', 0.95); | What is the minimum fairness score for each type of AI model? | SELECT type, MIN(fairness_score) as min_fairness FROM ai_model GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE terbium_producers (producer_id INT, name VARCHAR(255), year INT, terbium_production INT); INSERT INTO terbium_producers (producer_id, name, year, terbium_production) VALUES (1, 'Canada', 2015, 120), (2, 'Mexico', 2015, 110), (3, 'USA', 2015, 100), (4, 'Canada', 2016, 130), (5, 'Mexico', 2016, 120), (6, 'US... | Calculate the total Terbium production by year for the top 3 producers, and rank them by production volume. | SELECT name, year, SUM(terbium_production) AS total_production, RANK() OVER (PARTITION BY year ORDER BY SUM(terbium_production) DESC) AS production_rank FROM terbium_producers GROUP BY name, year ORDER BY year, total_production DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (hotel_id INT, name TEXT, city TEXT, country TEXT, virtual_tour BOOLEAN, ai_concierge BOOLEAN); | What is the number of hotels in 'Cape Town' with virtual tours and an AI concierge? | SELECT city, COUNT(*) as num_hotels FROM hotels WHERE city = 'Cape Town' AND virtual_tour = TRUE AND ai_concierge = TRUE GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE AutoShows (Id INT, Name VARCHAR(100), Location VARCHAR(100), StartDate DATE, EndDate DATE); CREATE TABLE Exhibits (Id INT, AutoShowId INT, VehicleId INT, VehicleType VARCHAR(50)); CREATE TABLE Vehicles (Id INT, Name VARCHAR(100), Type VARCHAR(50)); INSERT INTO AutoShows (Id, Name, Location, StartDate, EndD... | List all auto shows in Europe and the number of electric vehicles exhibited in each one. | SELECT AutoShows.Name, COUNT(Exhibits.VehicleId) FROM AutoShows INNER JOIN Exhibits ON AutoShows.Id = Exhibits.AutoShowId INNER JOIN Vehicles ON Exhibits.VehicleId = Vehicles.Id WHERE Vehicles.Type = 'Electric' AND AutoShows.Location LIKE 'Europe%' GROUP BY AutoShows.Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE imports (id INT, cargo_weight INT, country VARCHAR(20), shipment_date DATE); INSERT INTO imports (id, cargo_weight, country, shipment_date) VALUES (1, 25000, 'Germany', '2021-03-03'); INSERT INTO imports (id, cargo_weight, country, shipment_date) VALUES (2, 18000, 'Germany', '2021-03-05'); INSERT INTO impo... | List the countries with more than 20000 kg of imported cargo in March 2021. | SELECT country FROM imports WHERE shipment_date >= '2021-03-01' AND shipment_date < '2021-04-01' GROUP BY country HAVING SUM(cargo_weight) > 20000; | gretelai_synthetic_text_to_sql |
CREATE TABLE production_data (record_id INT PRIMARY KEY, mine_name VARCHAR(20), productivity_score INT); INSERT INTO production_data (record_id, mine_name, productivity_score) VALUES (1, 'Platinum Plus', 88), (2, 'Iron Ore Inc.', 82), (3, 'Golden Nuggets', 85), (4, 'Iron Ore Inc.', 83); | Update the "production_data" table to set the "productivity_score" to 88 for all records where the "mine_name" is 'Iron Ore Inc.' | UPDATE production_data SET productivity_score = 88 WHERE mine_name = 'Iron Ore Inc.'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_sourcing (restaurant_name VARCHAR(255), sourcing_record VARCHAR(255)); INSERT INTO sustainable_sourcing (restaurant_name, sourcing_record) VALUES ('Pizza Palace', 'Organic Tomatoes'), ('Pizza Palace', 'Local Cheese'), ('Pizza Palace', 'Fair Trade Pepperoni'); | How many sustainable sourcing records are there for 'Pizza Palace'? | SELECT COUNT(*) FROM sustainable_sourcing WHERE restaurant_name = 'Pizza Palace'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SafetyInspections (InspectionID INT, VesselID INT, InspectionDate DATE); | Insert new safety inspection records for vessels with the specified details. | INSERT INTO SafetyInspections (InspectionID, VesselID, InspectionDate) VALUES (3, 1, '2021-06-01'), (4, 4, '2021-07-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (state VARCHAR(50), year INT, recycling_rate FLOAT); INSERT INTO recycling_rates (state, year, recycling_rate) VALUES ('Alabama', 2019, 15.2), ('Alaska', 2019, 20.5), ('Arizona', 2019, 25.0), ('Arkansas', 2019, 12.7), ('California', 2019, 50.1); | What is the recycling rate in percentage for each state in the USA in 2019? | SELECT state, recycling_rate FROM recycling_rates WHERE year = 2019 AND state IN ('Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Artwork (artwork_id INT, artwork_name VARCHAR(255), artist_id INT); INSERT INTO Artwork (artwork_id, artwork_name, artist_id) VALUES (1, 'The Sun Rises', 4), (2, 'Moon Dance', 5); | Insert records of artworks by underrepresented artists into the 'Artwork' table. | INSERT INTO Artwork (artwork_id, artwork_name, artist_id) VALUES (3, ' Ancestral Wisdom', 6), (4, 'Resilience', 7); | gretelai_synthetic_text_to_sql |
CREATE TABLE data_types_summary (dept_name TEXT, column_name TEXT, data_type TEXT, record_count INTEGER); INSERT INTO data_types_summary (dept_name, column_name, data_type, record_count) VALUES ('Human Services Department', 'age', 'INTEGER', 60), ('Human Services Department', 'gender', 'TEXT', 60), ('Human Services Dep... | What is the total number of records for each data type across all departments? | SELECT column_name, data_type, SUM(record_count) FROM data_types_summary GROUP BY column_name, data_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE ngo_tech (name TEXT, budget INTEGER); INSERT INTO ngo_tech (name, budget) VALUES ('AIforGood', 400000), ('EthicsNG', 500000), ('Tech4Change', 600000); | What is the total budget for ethical AI initiatives by companies in the non-profit sector? | SELECT SUM(budget) FROM ngo_tech WHERE name IN ('AIforGood', 'EthicsNG', 'Tech4Change') AND sector = 'non-profit'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultivators (id INT, name TEXT, state TEXT); CREATE TABLE strains (id INT, name TEXT, cultivator_id INT); CREATE TABLE inventory (id INT, strain_id INT, dispensary_id INT); INSERT INTO cultivators (id, name, state) VALUES (1, 'Emerald Family Farms', 'California'), (2, 'Good Chemistry', 'Colorado'); INSERT ... | Which cultivators have supplied a dispensary with a strain containing 'Gelato' in its name? | SELECT DISTINCT c.name FROM cultivators c JOIN strains s ON c.id = s.cultivator_id JOIN inventory i ON s.id = i.strain_id WHERE i.dispensary_id = 1 AND s.name LIKE '%Gelato%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (id INT, customer_id INT, transaction_date DATE, amount FLOAT); CREATE TABLE customers (id INT, name VARCHAR(50), country VARCHAR(50)); INSERT INTO transactions (id, customer_id, transaction_date, amount) VALUES (1, 1, '2022-02-01', 1000.00), (2, 2, '2022-02-02', 2000.00), (3, 1, '2022-02-03',... | Calculate the average daily transaction amount for the past week for customers from Canada | SELECT AVG(amount) FROM transactions t JOIN customers c ON t.customer_id = c.id WHERE t.transaction_date BETWEEN DATE_SUB(CURDATE(), INTERVAL 7 DAY) AND CURDATE() AND c.country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Building_Permits_TX (id INT, permit_type VARCHAR(255), state VARCHAR(255), quarter VARCHAR(255)); INSERT INTO Building_Permits_TX (id, permit_type, state, quarter) VALUES (1, 'Residential', 'Texas', 'Q2 2022'); INSERT INTO Building_Permits_TX (id, permit_type, state, quarter) VALUES (2, 'Commercial', 'Texa... | What is the total number of building permits issued in Texas in Q2 2022 grouped by permit type? | SELECT permit_type, COUNT(*) FROM Building_Permits_TX WHERE state = 'Texas' AND quarter = 'Q2 2022' GROUP BY permit_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE fertilizer (id INT, name VARCHAR(255), unit_price DECIMAL(10, 2)); CREATE TABLE inventory (id INT, fertilizer_id INT, quantity INT, timestamp TIMESTAMP); INSERT INTO fertilizer VALUES (1, 'Urea', 450), (2, 'Ammonium Nitrate', 300); INSERT INTO inventory VALUES (1, 1, 1000, '2022-03-01 10:00:00'), (2, 2, 80... | List the total quantity of each fertilizer used in the past month, along with its corresponding unit price and total cost. | SELECT f.name, SUM(i.quantity) as total_quantity, f.unit_price, SUM(i.quantity * f.unit_price) as total_cost FROM fertilizer f INNER JOIN inventory i ON f.id = i.fertilizer_id WHERE i.timestamp BETWEEN DATE_SUB(NOW(), INTERVAL 1 MONTH) AND NOW() GROUP BY f.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE EnergyStorage (id INT, state VARCHAR(50), technology VARCHAR(50), capacity FLOAT); INSERT INTO EnergyStorage (id, state, technology, capacity) VALUES (1, 'Texas', 'Batteries', 12.3), (2, 'Texas', 'Pumped Hydro', 18.7), (3, 'California', 'Batteries', 21.5); | What is the total energy storage capacity (in GWh) in Texas, grouped by technology? | SELECT technology, SUM(capacity) FROM EnergyStorage WHERE state = 'Texas' GROUP BY technology; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (id INT, name VARCHAR(255)); INSERT INTO Vessels (id, name) VALUES (1, 'Blue Whale'); CREATE TABLE FuelConsumption (vessel_id INT, fuel_consumption INT, timestamp TIMESTAMP); INSERT INTO FuelConsumption (vessel_id, fuel_consumption, timestamp) VALUES (1, 500, '2022-07-01 10:00:00'), (1, 800, '2022-... | Calculate the average fuel consumption per hour for the vessel 'Blue Whale' in the 'Tankers' fleet in the past week. | SELECT AVG(fuel_consumption / DATEDIFF(HOUR, LAG(timestamp) OVER (PARTITION BY vessel_id ORDER BY timestamp), timestamp)) as avg_fuel_consumption_per_hour FROM FuelConsumption WHERE vessel_id = 1 AND timestamp >= DATEADD(week, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE field_sensors (field_id INT, sensor_type VARCHAR(20), value FLOAT, timestamp TIMESTAMP); INSERT INTO field_sensors (field_id, sensor_type, value, timestamp) VALUES (10, 'moisture', 18.5, '2023-02-25 10:00:00'), (10, 'moisture', 22.0, '2023-02-25 11:00:00'); | Delete records from field_sensors table where sensor_type is 'moisture' and value is below 20. | DELETE FROM field_sensors WHERE sensor_type = 'moisture' AND value < 20; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_aid (id INT PRIMARY KEY, agency_id INT, water_aid_amount INT); INSERT INTO water_aid (id, agency_id, water_aid_amount) VALUES (1, 1, 100000); INSERT INTO water_aid (id, agency_id, water_aid_amount) VALUES (2, 2, 200000); INSERT INTO water_aid (id, agency_id, water_aid_amount) VALUES (3, 3, 300000); I... | What is the total number of water_aid_amount records for agency_id 4 in the water_aid table? | SELECT SUM(water_aid_amount) FROM water_aid WHERE agency_id = 4; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_registrations (registration_date DATE, is_ev BOOLEAN, PRIMARY KEY (registration_date, is_ev)); INSERT INTO vehicle_registrations (registration_date, is_ev) VALUES ('2018-01-01', true); INSERT INTO vehicle_registrations (registration_date, is_ev) VALUES ('2018-01-05', false); | What is the average number of vehicles registered per month in the 'vehicle_registrations' table since 2018? | SELECT AVG(registrations_per_month) FROM (SELECT EXTRACT(MONTH FROM registration_date) AS month, COUNT(*) AS registrations_per_month FROM vehicle_registrations WHERE registration_date >= '2018-01-01' GROUP BY month) subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE threats (id INT, department VARCHAR(20), risk_score FLOAT, detection_date DATE); INSERT INTO threats (id, department, risk_score, detection_date) VALUES (1, 'Sales', 15.5, '2022-01-15'); INSERT INTO threats (id, department, risk_score, detection_date) VALUES (2, 'Marketing', 12.2, '2022-02-07'); INSERT INT... | What is the total risk score of threats detected in the 'Sales' department in Q1 2022? | SELECT SUM(risk_score) FROM threats WHERE department = 'Sales' AND detection_date >= '2022-01-01' AND detection_date < '2022-04-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE run_data (id INT, user_id INT, distance FLOAT); INSERT INTO run_data (id, user_id, distance) VALUES (1, 17, 4.5); INSERT INTO run_data (id, user_id, distance) VALUES (2, 18, 6.2); CREATE TABLE workout_groups (id INT, user_id INT, group_label VARCHAR(10)); INSERT INTO workout_groups (id, user_id, group_la... | What is the minimum distance covered by users in the 'Intermediate' workout group? | SELECT MIN(distance) FROM run_data JOIN workout_groups ON run_data.user_id = workout_groups.user_id WHERE group_label = 'Intermediate'; | gretelai_synthetic_text_to_sql |
CREATE TABLE equipment (id INT, name VARCHAR(50), type VARCHAR(50), cost DECIMAL(5,2)); INSERT INTO equipment (id, name, type, cost) VALUES (1, 'Equipment1', 'Sequencer', 50000.00); INSERT INTO equipment (id, name, type, cost) VALUES (2, 'Equipment2', 'Microscope', 20000.00); | What is the name, type, and cost of the equipment with a cost greater than the average cost plus one standard deviation of all equipment? | SELECT name, type, cost FROM equipment WHERE cost > (SELECT AVG(cost) FROM equipment) + (SELECT STDDEV(cost) FROM equipment); | gretelai_synthetic_text_to_sql |
CREATE TABLE lending_applications (id INT, application_date DATE, approved BOOLEAN); INSERT INTO lending_applications (id, application_date, approved) VALUES (1, '2021-04-02', FALSE), (2, '2021-05-15', TRUE), (3, '2021-06-01', FALSE); | How many socially responsible lending applications were rejected in Q2 2021? | SELECT COUNT(*) as num_rejected FROM lending_applications WHERE approved = FALSE AND application_date >= '2021-04-01' AND application_date < '2021-07-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_force (mine_name VARCHAR(255), employee_count INT, turnover_rate FLOAT); INSERT INTO labor_force (mine_name, employee_count, turnover_rate) VALUES ('Green Valley', 250, 0.09); INSERT INTO labor_force (mine_name, employee_count, turnover_rate) VALUES ('Blue Hills', 300, 0.07); | What are the mines with labor turnover rates higher than 0.08? | SELECT mine_name FROM labor_force WHERE turnover_rate > 0.08; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (name VARCHAR(255), type VARCHAR(255), flag_state VARCHAR(255)); CREATE TABLE inspections (inspection_id INT, vessel_name VARCHAR(255), inspection_date DATE, region VARCHAR(255)); CREATE TABLE caribbean_sea (name VARCHAR(255), region_type VARCHAR(255)); INSERT INTO vessels (name, type, flag_st... | What is the number of vessels inspected in the Caribbean sea? | SELECT COUNT(*) FROM inspections i INNER JOIN caribbean_sea cs ON i.region = cs.region; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft_launch_dates (spacecraft_name TEXT, launch_date DATE); INSERT INTO spacecraft_launch_dates (spacecraft_name, launch_date) VALUES ('Voyager 1', '1977-09-05'), ('Voyager 2', '1977-08-20'), ('Cassini', '1997-10-15'); | What is the earliest launched spacecraft in the database? | SELECT spacecraft_name, MIN(launch_date) as earliest_launch_date FROM spacecraft_launch_dates; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_contracts (contract_address VARCHAR(42), deployment_date DATE); INSERT INTO smart_contracts (contract_address, deployment_date) VALUES ('0x123', '2022-01-01'), ('0x456', '2022-01-15'), ('0x789', '2022-02-01'), ('0xabc', '2022-02-15'), ('0xdef', '2022-03-01'); | How many smart contracts were deployed in each month of 2022? | SELECT EXTRACT(MONTH FROM deployment_date) AS month, COUNT(*) FROM smart_contracts GROUP BY month ORDER BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (id INT, name TEXT, birthdate DATE); INSERT INTO artists (id, name, birthdate) VALUES (1, 'Sarah Johnson', '1900-01-01'), (2, 'Maria Rodriguez', '1980-05-05'), (3, 'Yumi Lee', '1968-11-11'); | What is the average age of artists who have created artworks in the 'painting' category? | SELECT AVG(YEAR(CURRENT_DATE) - YEAR(birthdate)) as avg_age FROM artists JOIN artworks ON artists.id = artworks.artist WHERE category = 'painting'; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_deployment (id INT PRIMARY KEY, name VARCHAR(255), country VARCHAR(255), launch_date DATE); INSERT INTO satellite_deployment (id, name, country, launch_date) VALUES (1, 'Sentinel-1A', 'Europe', '2014-04-03'), (2, 'TechSat', 'United States', '2022-09-01'); | List all satellites launched in the year 2014 | SELECT name FROM satellite_deployment WHERE YEAR(launch_date) = 2014; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists fundings;CREATE TABLE if not exists fundings.dates (id INT, startup_id INT, funding_date DATE); INSERT INTO fundings.dates (id, startup_id, funding_date) VALUES (1, 1, '2021-06-01'), (2, 2, '2022-02-14'), (3, 1, '2021-12-15'), (4, 3, '2022-08-05'); | What is the most recent funding date for each biotech startup? | SELECT d.startup_id, MAX(d.funding_date) max_funding_date FROM fundings.dates d GROUP BY d.startup_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE co2_emissions_reduction (project_id INT, project_name VARCHAR(255), co2_reduction FLOAT, reduction_year INT); | Calculate the total CO2 emissions reduction achieved by renewable energy projects since 2010 | SELECT SUM(co2_reduction) FROM co2_emissions_reduction WHERE reduction_year >= 2010; | gretelai_synthetic_text_to_sql |
CREATE TABLE employee_hours (employee_id INT, department VARCHAR(20), hours_worked INT, work_date DATE); INSERT INTO employee_hours (employee_id, department, hours_worked, work_date) VALUES (1, 'mining', 8, '2021-01-15'), (2, 'geology', 7, '2021-01-20'), (3, 'engineering', 9, '2021-03-01'), (4, 'administration', 6, '20... | What is the total number of employee hours worked in each department in the last month? | SELECT department, SUM(hours_worked) FROM employee_hours WHERE work_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) AND CURRENT_DATE GROUP BY department | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name VARCHAR(50), location VARCHAR(50), funding FLOAT); INSERT INTO startups (id, name, location, funding) VALUES (1, 'Genomic Solutions', 'USA', 5000000), (2, 'BioTech Innovations', 'Europe', 7000000); | What is the total funding received by biotech startups located in Europe? | SELECT SUM(funding) FROM startups WHERE location = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists arts_culture;CREATE TABLE if not exists arts_culture.donors (donor_id INT PRIMARY KEY, name VARCHAR(255), type VARCHAR(255), donation DECIMAL(10,2));INSERT INTO arts_culture.donors (donor_id, name, type, donation) VALUES (1, 'John Doe', 'Individual', 50.00), (2, 'Jane Smith', 'Individual', 1... | What is the average donation amount by donor type? | SELECT type, AVG(donation) as avg_donation FROM arts_culture.donors GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE VIEW OrganicProducts AS SELECT * FROM Products WHERE is_organic = TRUE; INSERT INTO Products (id, name, is_organic) VALUES (1, 'Product1', TRUE), (2, 'Product2', FALSE), (3, 'Product3', TRUE); | Delete all records from 'OrganicProducts' view | DELETE FROM OrganicProducts; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft(id INT, name VARCHAR(50), manufacturer VARCHAR(50), mass FLOAT); INSERT INTO spacecraft VALUES(1, 'Voyager 1', 'Galactic Inc.', 770.), (2, 'Voyager 2', 'Galactic Inc.', 778.); | What is the average mass of spacecraft manufactured by 'Galactic Inc.'? | SELECT AVG(mass) FROM spacecraft WHERE manufacturer = 'Galactic Inc.' | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_efficiency (id INT, country VARCHAR(255), efficiency FLOAT); INSERT INTO energy_efficiency (id, country, efficiency) VALUES (1, 'Germany', 0.35), (2, 'France', 0.32), (3, 'United Kingdom', 0.31), (4, 'Italy', 0.29), (5, 'Spain', 0.28); | What is the energy efficiency of the top 5 countries in Europe? | SELECT country, efficiency FROM energy_efficiency ORDER BY efficiency DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE FlightLogs (flight_id INT, aircraft_model VARCHAR(50), flight_date DATE); INSERT INTO FlightLogs (flight_id, aircraft_model, flight_date) VALUES (1, 'B747', '2022-01-01'), (2, 'A320', '2021-05-01'), (3, 'B747', '2022-03-01'); | What is the most recent flight for each aircraft model in the FlightLogs table? | SELECT aircraft_model, MAX(flight_date) AS most_recent_flight FROM FlightLogs GROUP BY aircraft_model; | gretelai_synthetic_text_to_sql |
CREATE TABLE MentalHealthParityViolations (ViolationID INT, ProviderID INT); INSERT INTO MentalHealthParityViolations (ViolationID, ProviderID) VALUES (1, 1), (2, 1), (3, 2), (4, 3), (5, 1); | What is the total number of mental health parity violations by provider? | SELECT ProviderID, COUNT(*) FROM MentalHealthParityViolations GROUP BY ProviderID; | gretelai_synthetic_text_to_sql |
CREATE TABLE fund (id INT, name VARCHAR(50), strategy VARCHAR(20), roi DECIMAL(5,2), year INT); INSERT INTO fund (id, name, strategy, roi, year) VALUES (1, 'Gender Equality Fund', 'gender lens investing', 12.5, 2017); INSERT INTO fund (id, name, strategy, roi, year) VALUES (2, 'Sustainable Impact Fund', 'gender lens in... | Identify the 5-year return on investment (ROI) for gender lens investing funds. | SELECT roi FROM fund WHERE strategy = 'gender lens investing' AND year BETWEEN 2016 AND 2020; | gretelai_synthetic_text_to_sql |
ALTER TABLE Visitors ADD COLUMN last_event_date DATE, event_count INT; | What is the number of visitors who have attended more than three events in the last year? | SELECT COUNT(*) FROM Visitors WHERE last_event_date >= DATEADD(year, -1, CURRENT_DATE) GROUP BY Visitors.id HAVING COUNT(*) > 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Menu (menu_id INT PRIMARY KEY, menu_item VARCHAR(255), category VARCHAR(255), price DECIMAL(5,2), region VARCHAR(255)); | Update the price of all vegetarian dishes by 10% in the Texas region. | UPDATE Menu SET price = price * 1.10 WHERE category = 'Vegetarian' AND region = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE HealthEquityMetrics (ProviderId INT, Score INT, Community VARCHAR(255)); INSERT INTO HealthEquityMetrics (ProviderId, Score, Community) VALUES (1, 85, 'Miami'); INSERT INTO HealthEquityMetrics (ProviderId, Score, Community) VALUES (2, 90, 'New York'); INSERT INTO HealthEquityMetrics (ProviderId, Score, Com... | What is the average health equity metric score for providers serving linguistically diverse communities? | SELECT AVG(Score) FROM HealthEquityMetrics WHERE Community IN ('Miami', 'New York', 'Los Angeles'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Completed (id INT, name VARCHAR(50), organization VARCHAR(50), quarter INT, year INT, category VARCHAR(50)); INSERT INTO Completed (id, name, organization, quarter, year, category) VALUES (1, 'AI for Accessibility', 'Equal Tech', 1, 2020, 'Social Good'), (2, 'Ethical AI Education', 'Tech Learning', 2, 2019... | What is the maximum number of technology for social good projects completed in a single quarter by organizations in North America? | SELECT MAX(COUNT(*)) FROM Completed WHERE category = 'Social Good' GROUP BY year, quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE justice_data.juvenile_offenders (id INT, name VARCHAR(50), age INT, gender VARCHAR(10), offense VARCHAR(50), restorative_justice_program BOOLEAN); | What is the total number of juvenile offenders in the justice_data schema's juvenile_offenders table who have been referred to restorative justice programs? | SELECT COUNT(*) FROM justice_data.juvenile_offenders WHERE restorative_justice_program = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, genre VARCHAR(255), country VARCHAR(255), sales_amount DECIMAL(10,2)); | What are the total sales for each genre of music in the United States? | SELECT genre, SUM(sales_amount) FROM sales WHERE country = 'United States' GROUP BY genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (user_id INT, username VARCHAR(255)); CREATE TABLE posts (post_id INT, user_id INT, content TEXT, post_date DATE, likes INT); | Identify users who have mentioned 'data privacy' in their posts in the past week, and the number of likes for each post. | SELECT u.username, p.post_id, p.content, p.post_date, p.likes FROM users u INNER JOIN posts p ON u.user_id = p.user_id WHERE p.content LIKE '%data privacy%' AND p.post_date >= DATE_SUB(CURDATE(), INTERVAL 1 WEEK); | gretelai_synthetic_text_to_sql |
CREATE TABLE mine_workers (id INT, name VARCHAR(50), age INT, mine_type VARCHAR(20)); INSERT INTO mine_workers (id, name, age, mine_type) VALUES (1, 'John Doe', 35, 'Open-pit'); INSERT INTO mine_workers (id, name, age, mine_type) VALUES (2, 'Jane Smith', 28, 'Underground'); | What's the average age of employees working in open-pit mines? | SELECT AVG(age) FROM mine_workers WHERE mine_type = 'Open-pit'; | gretelai_synthetic_text_to_sql |
CREATE TABLE food_items (item_id INT, name VARCHAR(50), organic BOOLEAN, calories INT); INSERT INTO food_items (item_id, name, organic, calories) VALUES (1, 'Apple', true, 95), (2, 'Broccoli', true, 55), (3, 'Chips', false, 154), (4, 'Soda', false, 140); | What is the total calorie intake from organic food items? | SELECT SUM(calories) FROM food_items WHERE organic = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE bus_routes (route_id INT, route_name TEXT, fare FLOAT, weekly_maintenance_cost FLOAT); INSERT INTO bus_routes (route_id, route_name, fare, weekly_maintenance_cost) VALUES (1, 'Red Line', 2.5, 400), (2, 'Green Line', 3.0, 600), (3, 'Blue Line', 2.0, 550); | What is the average fare for bus routes that have a weekly maintenance cost above $500? | SELECT AVG(fare) FROM bus_routes WHERE weekly_maintenance_cost > 500; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_resources (id INT, name VARCHAR(50), category VARCHAR(50), total_resources_depleted DECIMAL(10, 2)); INSERT INTO mining_resources (id, name, category, total_resources_depleted) VALUES (1, 'Mining Operation 1', 'Coal', 25000.00), (2, 'Mining Operation 2', 'Coal', 30000.00); | What's the total resources depleted in the 'Coal' category? | SELECT SUM(total_resources_depleted) FROM mining_resources WHERE category = 'Coal'; | gretelai_synthetic_text_to_sql |
CREATE TABLE co_ownership (property_id INT, size_sqft INT, city VARCHAR(50), state VARCHAR(50)); INSERT INTO co_ownership (property_id, size_sqft, city, state) VALUES (1, 1200, 'Portland', 'OR'); INSERT INTO co_ownership (property_id, size_sqft, city, state) VALUES (2, 1500, 'Portland', 'OR'); | What is the average size in square feet of properties with co-ownership in Portland, OR? | SELECT AVG(size_sqft) FROM co_ownership WHERE city = 'Portland' AND state = 'OR' AND property_id IN (SELECT property_id FROM co_ownership WHERE city = 'Portland' AND state = 'OR' GROUP BY property_id HAVING COUNT(*) > 1); | gretelai_synthetic_text_to_sql |
CREATE TABLE neighborhoods (name VARCHAR(255), city VARCHAR(255), state VARCHAR(255), country VARCHAR(255), PRIMARY KEY (name)); INSERT INTO neighborhoods (name, city, state, country) VALUES ('Bernal Heights', 'San Francisco', 'CA', 'USA'); | What is the average listing price per square foot for each neighborhood in San Francisco? | SELECT name, AVG(listing_price/square_footage) as avg_price_per_sqft FROM real_estate_listings WHERE city = 'San Francisco' GROUP BY name ORDER BY avg_price_per_sqft DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE ticket_sales (sale_id INT PRIMARY KEY, team_id INT, sale_date DATE, quantity INT); | Insert data into ticket_sales table | INSERT INTO ticket_sales (sale_id, team_id, sale_date, quantity) VALUES (1, 101, '2022-02-15', 500); | gretelai_synthetic_text_to_sql |
CREATE TABLE model (model_id INT, name VARCHAR(50), organization_id INT, safety_score INT, creativity_score INT); INSERT INTO model VALUES (1, 'ModelA', 1, 85, 80), (2, 'ModelB', 2, 90, 85), (3, 'ModelC', 3, 80, 95), (4, 'ModelD', 1, 92, 88), (5, 'ModelE', 3, 88, 92); CREATE TABLE organization (organization_id INT, nam... | What is the maximum safety score of a creative AI model developed by a for-profit organization? | SELECT MAX(model.safety_score) FROM model JOIN organization ON model.organization_id = organization.organization_id WHERE organization.type = 'for-profit' AND model.creativity_score >= 90; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT, name TEXT, location TEXT, beds INT, rural BOOLEAN, built DATE); INSERT INTO hospitals (id, name, location, beds, rural, built) VALUES (1, 'Hospital A', 'Connecticut', 150, true, '2005-01-01'), (2, 'Hospital B', 'Connecticut', 200, true, '2008-01-01'); | What is the total number of hospital beds in rural hospitals of Connecticut that were built before 2010? | SELECT SUM(beds) FROM hospitals WHERE location = 'Connecticut' AND rural = true AND built < '2010-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE department (id INT, name VARCHAR(255)); INSERT INTO department (id, name) VALUES (1, 'Parks'); INSERT INTO department (id, name) VALUES (2, 'Transportation'); CREATE TABLE initiative (id INT, name VARCHAR(255), department_id INT, status VARCHAR(255)); INSERT INTO initiative (id, name, department_id, status... | What is the total number of open data initiatives by department in the city of Toronto? | SELECT SUM(i.id) FROM initiative i JOIN department d ON i.department_id = d.id WHERE d.name = 'Toronto' AND i.status = 'open'; | gretelai_synthetic_text_to_sql |
CREATE TABLE case_resolutions (resolution_id INT, case_id INT, resolution_date DATE); INSERT INTO case_resolutions (resolution_id, case_id, resolution_date) VALUES (1, 1, '2022-02-01'), (2, 2, '2022-04-15'), (3, 1, '2022-05-01'); | What is the average time to resolution for cases, by case type, in the last year? | SELECT cases.case_type, AVG(DATEDIFF(case_resolutions.resolution_date, cases.open_date)) as avg_time_to_resolution FROM cases INNER JOIN case_resolutions ON cases.case_id = case_resolutions.case_id WHERE cases.open_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY cases.case_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (id INT, financially_vulnerable BOOLEAN); INSERT INTO clients (id, financially_vulnerable) VALUES (1, true), (2, false), (3, true); | Delete the record for a financially vulnerable individual. | DELETE FROM clients WHERE financially_vulnerable = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name VARCHAR(255)); INSERT INTO teams (team_id, team_name) VALUES (1, 'Bears'), (2, 'Bills'); CREATE TABLE games (game_id INT, home_team_id INT, away_team_id INT, home_team_attendance INT); INSERT INTO games (game_id, home_team_id, away_team_id, home_team_attendance) VALUES (1, 1, ... | What is the average home game attendance for each team in the 2020 season? | SELECT t.team_name, AVG(g.home_team_attendance) FROM games g JOIN teams t ON g.home_team_id = t.team_id GROUP BY t.team_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft_manufacturing (id INT, spacecraft_name VARCHAR(50), cost INT); INSERT INTO spacecraft_manufacturing (id, spacecraft_name, cost) VALUES (1, 'Aries', 5000000), (2, 'Atlas', 7000000), (3, 'Titan', 9000000); | What is the average cost of manufacturing spacecrafts in the 'spacecraft_manufacturing' table? | SELECT AVG(cost) FROM spacecraft_manufacturing; | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_species (id INT, name VARCHAR(255), species_type VARCHAR(255)); INSERT INTO fish_species (id, name, species_type) VALUES (1, 'Salmon', 'Coldwater'), (2, 'Tilapia', 'Tropical'); CREATE TABLE temperature_data (id INT, fish_id INT, record_date DATE, water_temp DECIMAL(5,2)); INSERT INTO temperature_data ... | What is the minimum water temperature for coldwater fish species in January? | SELECT MIN(water_temp) FROM temperature_data JOIN fish_species ON temperature_data.fish_id = fish_species.id WHERE fish_species.species_type = 'Coldwater' AND MONTH(record_date) = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE mature_forest (id INT, tree_type VARCHAR(255), planted_date DATE, volume INT, tree_carbon_seq INT); | What is the total volume of timber produced by tree species with a carbon sequestration value greater than 30, grouped by tree type, in the mature_forest table? | SELECT tree_type, SUM(volume) FROM mature_forest WHERE tree_carbon_seq > 30 GROUP BY tree_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE trends (id INT PRIMARY KEY, trend_name VARCHAR(50)); | Insert a new fashion trend 'Pleats' into the 'trends' table | INSERT INTO trends (id, trend_name) VALUES (2, 'Pleats'); | gretelai_synthetic_text_to_sql |
CREATE TABLE shipments (id INT, item_name VARCHAR(255), quantity INT, shipping_date DATE, origin_country VARCHAR(50), destination_country VARCHAR(50)); | Delete all records of refrigerator shipments to Mexico in December 2021 from the shipments table. | DELETE FROM shipments WHERE item_name = 'refrigerator' AND origin_country = 'USA' AND destination_country = 'Mexico' AND shipping_date BETWEEN '2021-12-01' AND '2021-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE condition_records (patient_id INT, condition VARCHAR(50)); INSERT INTO condition_records (patient_id, condition) VALUES (1, 'Anxiety'), (2, 'Depression'), (3, 'PTSD'), (4, 'Depression'), (5, 'Depression'), (6, 'Bipolar Disorder'), (7, 'Anxiety'), (8, 'Depression'); CREATE TABLE patient_location (patient_id... | How many patients have been treated for depression in Utah? | SELECT COUNT(DISTINCT patient_id) FROM condition_records JOIN patient_location ON condition_records.patient_id = patient_location.patient_id WHERE condition = 'Depression' AND location = 'Utah'; | gretelai_synthetic_text_to_sql |
CREATE TABLE deep_sea_expeditions (name VARCHAR(255), ocean VARCHAR(255), date DATE); INSERT INTO deep_sea_expeditions (name, ocean, date) VALUES ('Challenger Expedition', 'Indian Ocean', '1872-12-07'), ('Galathea Expedition', 'Indian Ocean', '1845-12-24'); | List all deep-sea expeditions and their dates in the Indian Ocean. | SELECT name, date FROM deep_sea_expeditions WHERE ocean = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourists (tourist_id INT, name TEXT, country TEXT, visit_date DATE); INSERT INTO tourists (tourist_id, name, country, visit_date) VALUES (1, 'John Doe', 'France', '2022-01-01'), (2, 'Jane Smith', 'Brazil', '2022-02-01'), (3, 'Minh Nguyen', 'Vietnam', '2021-12-31'), (4, 'Pierre Dupont', 'France', '2022-01-0... | How many tourists visited each country in the last year? | SELECT country, COUNT(DISTINCT tourist_id) FROM tourists WHERE visit_date >= DATEADD(year, -1, GETDATE()) GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE incidents (id INT, report_date DATE, industry TEXT, incident_count INT); INSERT INTO incidents (id, report_date, industry, incident_count) VALUES (1, '2022-03-01', 'Construction', 15); INSERT INTO incidents (id, report_date, industry, incident_count) VALUES (2, '2022-04-01', 'Manufacturing', 20); | Which industries in the United States have the highest workplace safety incident rate in the last quarter? | SELECT industry, AVG(incident_count) as avg_incidents FROM incidents WHERE report_date >= DATE_TRUNC('quarter', NOW() - INTERVAL '1 quarter') GROUP BY industry ORDER BY avg_incidents DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE supply_chain (id INTEGER, product_id VARCHAR(10), shipped_date DATE, expiration_date DATE); | Delete expired shipments from the supply_chain table. | DELETE FROM supply_chain WHERE shipped_date + INTERVAL '30 days' < CURRENT_DATE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Workouts (WorkoutID INT, WorkoutDate DATE, Duration INT, WorkoutType VARCHAR(20)); INSERT INTO Workouts (WorkoutID, WorkoutDate, Duration, WorkoutType) VALUES (1, '2023-01-01', 60, 'Yoga'), (2, '2023-01-02', 90, 'Cycling'), (3, '2023-01-03', 75, 'Yoga'); | What is the total workout time for yoga workouts in the month of January? | SELECT SUM(Duration) FROM Workouts WHERE WorkoutType = 'Yoga' AND WorkoutDate >= '2023-01-01' AND WorkoutDate <= '2023-01-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE bioprocess_engineering (id INT, region VARCHAR(50), information FLOAT); INSERT INTO bioprocess_engineering (id, region, information) VALUES (1, 'North America', 3500); INSERT INTO bioprocess_engineering (id, region, information) VALUES (2, 'Europe', 2800); INSERT INTO bioprocess_engineering (id, region, in... | Show the total bioprocess engineering information for each region. | SELECT region, SUM(information) FROM bioprocess_engineering GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE football_matches (id INT, home_team VARCHAR(50), away_team VARCHAR(50), location VARCHAR(50), date DATE, attendance INT); INSERT INTO football_matches (id, home_team, away_team, location, date, attendance) VALUES (1, 'Real Madrid', 'Barcelona', 'Madrid', '2022-05-01', 65000); INSERT INTO football_matches (... | How many football matches were held in the 'football_matches' table with a total attendance greater than 50000? | SELECT COUNT(*) FROM football_matches WHERE attendance > 50000; | gretelai_synthetic_text_to_sql |
CREATE TABLE construction_projects (id INT, project_name TEXT, state TEXT, material_cost FLOAT); INSERT INTO construction_projects (id, project_name, state, material_cost) VALUES (1, 'Park Plaza', 'Texas', 50000.00), (2, 'Downtown Tower', 'California', 150000.00), (3, 'Galleria Mall', 'Texas', 80000.00); | What is the average cost of construction materials per project in Texas? | SELECT AVG(material_cost) FROM construction_projects WHERE state = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE RevenueByProduct (product VARCHAR(255), revenue DECIMAL(10,2)); INSERT INTO RevenueByProduct (product, revenue) VALUES ('Flower', 50000), ('Concentrates', 35000), ('Edibles', 40000), ('Topicals', 25000); | What is the total revenue generated by each product type, sorted by the total revenue in descending order? | SELECT product, SUM(revenue) as total_revenue FROM RevenueByProduct GROUP BY product ORDER BY total_revenue DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity_violations (violation_id INT, region VARCHAR(255)); INSERT INTO mental_health_parity_violations (violation_id, region) VALUES (1, 'Northeast'), (2, 'Southeast'), (3, 'Midwest'), (4, 'West'), (5, 'Northeast'), (6, 'Southeast'), (7, 'Midwest'), (8, 'West'); | What is the total number of mental health parity violations by region? | SELECT region, COUNT(*) as total_violations FROM mental_health_parity_violations GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE funding_records (id INT, company_id INT, funding_amount INT, funding_date DATE); INSERT INTO funding_records (id, company_id, funding_amount, funding_date) VALUES (7, 3, 700000, '2018-01-01'); INSERT INTO funding_records (id, company_id, funding_amount, funding_date) VALUES (8, 4, 400000, '2017-01-01'); | What is the maximum funding amount for startups founded in 2019? | SELECT MAX(funding_amount) FROM funding_records JOIN companies ON funding_records.company_id = companies.id WHERE companies.founding_year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE Project_Timeline (id INT, project VARCHAR(30), phase VARCHAR(20), start_date DATE, end_date DATE, labor_cost FLOAT); INSERT INTO Project_Timeline (id, project, phase, start_date, end_date, labor_cost) VALUES (1, 'Green Tower', 'Planning', '2021-05-01', '2021-07-31', 50000.00), (2, 'Green Tower', 'Construct... | Update the timeline of the 'Green Tower' project to reflect a 10% increase in labor cost. | UPDATE Project_Timeline SET labor_cost = labor_cost * 1.10 WHERE project = 'Green Tower'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Customers (CustomerID INT, Name VARCHAR(50));CREATE TABLE Investments (CustomerID INT, InvestmentType VARCHAR(10), Sector VARCHAR(10));INSERT INTO Customers VALUES (1,'John Doe'),(2,'Jane Smith'),(3,'Bob Johnson');INSERT INTO Investments VALUES (1,'Stocks','Technology'),(1,'Stocks','Healthcare'),(2,'Stocks... | What are the names of customers who have invested in both the technology and healthcare sectors? | SELECT DISTINCT c.Name FROM Customers c INNER JOIN Investments i ON c.CustomerID = i.CustomerID WHERE i.Sector IN ('Technology', 'Healthcare') GROUP BY c.CustomerID, c.Name HAVING COUNT(DISTINCT i.Sector) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryEquipmentSales (equipment_id INT, customer_country VARCHAR(50), sale_date DATE); INSERT INTO MilitaryEquipmentSales (equipment_id, customer_country, sale_date) VALUES (1, 'United States', '2014-01-01'), (2, 'United States', '2018-03-04'); | Which military equipment was sold to the United States before 2015 and after 2017? | SELECT equipment_id FROM MilitaryEquipmentSales WHERE customer_country = 'United States' AND sale_date < '2015-01-01' UNION SELECT equipment_id FROM MilitaryEquipmentSales WHERE customer_country = 'United States' AND sale_date > '2017-12-31' | gretelai_synthetic_text_to_sql |
CREATE TABLE departments (id INT, name VARCHAR(255)); INSERT INTO departments (id, name) VALUES (1, 'HR'), (2, 'Operations'), (3, 'Engineering'); CREATE TABLE employees (id INT, name VARCHAR(255), gender VARCHAR(50), department_id INT); INSERT INTO employees (id, name, gender, department_id) VALUES (1, 'John', 'Male', ... | What is the percentage of female employees in each department for the mining company? | SELECT e.department_id, COUNT(CASE WHEN e.gender = 'Female' THEN 1 END) * 100.0 / COUNT(e.id) as female_percentage FROM employees e GROUP BY e.department_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinical_trials (country TEXT, trial_success_rate REAL, therapeutic_area TEXT); INSERT INTO clinical_trials (country, trial_success_rate, therapeutic_area) VALUES ('Canada', 0.62, 'infectious diseases'), ('Brazil', 0.67, 'infectious diseases'), ('Russia', 0.58, 'infectious diseases'), ('India', 0.64, 'infe... | Which countries have the lowest average clinical trial success rate in infectious diseases? | SELECT country, AVG(trial_success_rate) as avg_trial_success_rate FROM clinical_trials WHERE therapeutic_area = 'infectious diseases' GROUP BY country ORDER BY avg_trial_success_rate ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE monthly_reports (id INT, title VARCHAR(255), author VARCHAR(255), published_date DATE); | What is the distribution of articles published by month in the 'monthly_reports' table? | SELECT MONTHNAME(published_date) as month, COUNT(*) as articles_published FROM monthly_reports GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE shariah_compliant_finance(customer_id INT, join_date DATE); INSERT INTO shariah_compliant_finance VALUES (1, '2022-04-01'), (2, '2022-03-15'), (3, '2022-01-01'), (4, '2022-05-10'); | Determine the number of Shariah-compliant finance customers who joined after the first quarter of the year. | SELECT COUNT(*) FROM shariah_compliant_finance WHERE join_date > (SELECT MIN(join_date) + INTERVAL '3 months' FROM shariah_compliant_finance); | gretelai_synthetic_text_to_sql |
CREATE TABLE students (student_id INT, student_name VARCHAR(50), gender VARCHAR(10), prefers_open_pedagogy BOOLEAN); INSERT INTO students (student_id, student_name, gender, prefers_open_pedagogy) VALUES (1, 'John Doe', 'Male', true), (2, 'Jane Smith', 'Female', true); | What is the number of students who prefer open pedagogy by gender? | SELECT gender, SUM(prefers_open_pedagogy) FROM students GROUP BY gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE fare_collection (route_id INT, payment_type VARCHAR(10), fare DECIMAL(5,2)); INSERT INTO fare_collection (route_id, payment_type, fare) VALUES (1, 'Cash', 2.50), (1, 'Card', 3.00), (2, 'Cash', 2.75), (2, 'Card', 3.25); | Find the total fare collected from each payment type | SELECT payment_type, SUM(fare) as total_fare FROM fare_collection GROUP BY payment_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_protocols (id INT PRIMARY KEY, chemical_name VARCHAR(100), protocol VARCHAR(500)); | Add a new safety protocol for chemical LMN to the safety_protocols table. | INSERT INTO safety_protocols (id, chemical_name, protocol) VALUES (5, 'LMN', 'Use in a well-ventilated area. Keep away from heat and open flames.'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Beds (Country TEXT, BedsPer1000 FLOAT); INSERT INTO Beds VALUES ('Russia', 8.1); | What is the number of hospital beds per 1000 people in Russia? | SELECT BedsPer1000 FROM Beds WHERE Country = 'Russia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE philanthropic_trends (organization_name TEXT, donation_amount INTEGER); INSERT INTO philanthropic_trends (organization_name, donation_amount) VALUES ('Effctive Altruism Funds', 50000), ('GiveWell', 40000), ('The Life You Can Save', 30000), ('Schistosomiasis Control Initiative', 10000); | Update the donation amount for 'GiveWell' to $55,000 in the 'philanthropic_trends' table. | UPDATE philanthropic_trends SET donation_amount = 55000 WHERE organization_name = 'GiveWell'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_stats (country VARCHAR(255), year INT, tourism_type VARCHAR(255), expenditure DECIMAL(10, 2)); INSERT INTO tourism_stats (country, year, tourism_type, expenditure) VALUES ('Costa Rica', 2020, 'Eco-tourism', 500000), ('Costa Rica', 2020, 'Eco-tourism', 600000), ('Belize', 2020, 'Eco-tourism', 400000... | What was the total expenditure of eco-tourists in Costa Rica and Belize in 2020? | SELECT SUM(expenditure) AS total_expenditure FROM tourism_stats WHERE country IN ('Costa Rica', 'Belize') AND tourism_type = 'Eco-tourism' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name VARCHAR(255)); INSERT INTO teams VALUES (1, 'Barcelona'); INSERT INTO teams VALUES (2, 'Real Madrid'); CREATE TABLE goals (team_id INT, goals_scored INT, season VARCHAR(10)); INSERT INTO goals VALUES (1, 85, '2020'); INSERT INTO goals VALUES (2, 90, '2020'); | Find the number of goals scored by each team in the 2020 football season | SELECT teams.team_name, SUM(goals) as goals_scored FROM goals JOIN teams ON goals.team_id = teams.team_id WHERE goals.season = '2020' GROUP BY teams.team_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (id INT, type VARCHAR(10), region VARCHAR(10)); INSERT INTO customers (id, type, region) VALUES (1, 'postpaid', 'North'), (2, 'prepaid', 'North'), (3, 'postpaid', 'South'), (4, 'prepaid', 'South'); CREATE TABLE usage (customer_id INT, data_usage FLOAT); INSERT INTO usage (customer_id, data_usage)... | What is the maximum data usage in GB for postpaid mobile customers in each region? | SELECT customers.region, MAX(usage.data_usage) FROM usage JOIN customers ON usage.customer_id = customers.id WHERE customers.type = 'postpaid' GROUP BY customers.region; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (PolicyID INT, CoverageLimit DECIMAL(10,2), RiskAssessmentScore INT); INSERT INTO Policyholders (PolicyID, CoverageLimit, RiskAssessmentScore) VALUES (1, 750000.00, 400), (2, 400000.00, 350), (4, 50000.00, 250); CREATE TABLE Claims (ClaimID INT, PolicyID INT, ClaimAmount DECIMAL(10,2)); INSER... | Update the risk assessment score for policyholder 4 to 600 based on their recent claim activity. | WITH UpdatedScores AS (UPDATE Policyholders SET RiskAssessmentScore = 600 WHERE PolicyID = 4 RETURNING *) SELECT * FROM UpdatedScores; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id INT, player_name VARCHAR(255)); INSERT INTO players VALUES (1, 'Player 1'); INSERT INTO players VALUES (2, 'Player 2'); CREATE TABLE fouls (player_id INT, fouls INT, season VARCHAR(20)); INSERT INTO fouls VALUES (1, 3, '2021-2022'); INSERT INTO fouls VALUES (2, 4, '2021-2022'); | Show the total number of fouls committed by each player in the 2021-2022 basketball season | SELECT players.player_name, SUM(fouls.fouls) as total_fouls FROM players JOIN fouls ON players.player_id = fouls.player_id WHERE fouls.season = '2021-2022' GROUP BY players.player_name; | gretelai_synthetic_text_to_sql |
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