context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE vessel_performance (id INT, name TEXT, speed DECIMAL(5,2), arrived_date DATE, country TEXT); INSERT INTO vessel_performance (id, name, speed, arrived_date, country) VALUES (1, 'Vessel G', 26.1, '2022-01-02', 'Spain'), (2, 'Vessel H', 22.8, '2022-01-11', 'Spain'), (3, 'Vessel I', 29.6, '2022-01-19', 'Spain'... | How many vessels arrived in Spain in January 2022 with a speed greater than 25 knots? | SELECT COUNT(*) FROM vessel_performance WHERE arrived_date BETWEEN '2022-01-01' AND '2022-01-31' AND country = 'Spain' AND speed > 25; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_offset_projects (id INT, project_name VARCHAR(50), country VARCHAR(50), offset_amount INT); | What is the maximum carbon offset achieved by a single project in Australia? | SELECT MAX(offset_amount) FROM carbon_offset_projects WHERE country = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (restaurant_id INT, city VARCHAR(255)); CREATE TABLE inspections (inspection_id INT, restaurant_id INT, score INT); INSERT INTO restaurants VALUES (1, 'New York'); INSERT INTO restaurants VALUES (2, 'Los Angeles'); INSERT INTO inspections VALUES (1, 1, 85); INSERT INTO inspections VALUES (2, 1,... | Display the average food safety inspection score for restaurants in each city, along with the number of inspections that were conducted. | SELECT r.city, AVG(i.score) as average_score, COUNT(i.inspection_id) as total_inspections FROM restaurants r INNER JOIN inspections i ON r.restaurant_id = i.restaurant_id GROUP BY r.city; | gretelai_synthetic_text_to_sql |
CREATE TABLE buildings (id INT, building_type VARCHAR(255), area VARCHAR(255), energy_efficiency_score FLOAT); INSERT INTO buildings (id, building_type, area, energy_efficiency_score) VALUES (1, 'Residential', 'Urban', 75.0), (2, 'Commercial', 'Urban', 60.0); | What is the average energy efficiency score for residential buildings in 'Urban' areas? | SELECT AVG(energy_efficiency_score) FROM buildings WHERE building_type = 'Residential' AND area = 'Urban'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, customer_name VARCHAR(50), state VARCHAR(20), account_number INT); INSERT INTO customers (customer_id, customer_name, state, account_number) VALUES (1, 'John Doe', 'GA', 12345), (2, 'Jane Smith', 'NY', 67890), (3, 'Jim Brown', 'GA', 11111), (4, 'Jill White', 'GA', 22222); | How many customers have more than one account in Georgia? | SELECT COUNT(*) FROM (SELECT customer_id FROM customers GROUP BY customer_id HAVING COUNT(*) > 1) AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE teacher_pd (teacher_id INT, course_id INT, pd_date DATE); INSERT INTO teacher_pd (teacher_id, course_id, pd_date) VALUES (1, 1, '2020-01-01'), (2, 2, '2020-02-15'), (3, 1, '2020-03-10'), (4, 3, '2020-12-31'), (5, 1, '2021-01-01'), (6, 2, '2021-02-15'), (7, 1, '2021-03-10'), (8, 3, '2021-12-31'); CREATE TAB... | What professional development courses were attended by the most teachers in 2020 and 2021? | SELECT c.course_name, COUNT(pd.teacher_id) AS num_teachers FROM teacher_pd pd JOIN courses c ON pd.course_id = c.course_id WHERE pd.pd_date >= '2020-01-01' AND pd.pd_date <= '2021-12-31' GROUP BY pd.course_id ORDER BY num_teachers DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (id INT, donor_name TEXT, donation_amount DECIMAL(10,2), state TEXT); INSERT INTO Donations (id, donor_name, donation_amount, state) VALUES (1, 'John Doe', 50.00, 'NY'), (2, 'Jane Smith', 100.00, 'CA'); | What is the average donation amount per state? | SELECT state, AVG(donation_amount) FROM Donations GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity_quota (id INT PRIMARY KEY, region VARCHAR(50), gender VARCHAR(10), minority VARCHAR(10), target INT); | Create a table named 'diversity_quota' to track diversity hiring goals | CREATE TABLE diversity_quota (id INT PRIMARY KEY, region VARCHAR(50), gender VARCHAR(10), minority VARCHAR(10), target INT); | gretelai_synthetic_text_to_sql |
CREATE TABLE ChemicalProduction (ID INT, Chemical VARCHAR(10), Quantity INT, ProductionDate DATE); INSERT INTO ChemicalProduction (ID, Chemical, Quantity, ProductionDate) VALUES (1, 'A', 500, '2021-01-05'), (2, 'A', 700, '2021-02-10'), (3, 'A', 800, '2021-03-20'); | What is the total quantity of chemical 'A' produced per month in 2021? | SELECT Chemical, DATE_FORMAT(ProductionDate, '%Y-%m') as Month, SUM(Quantity) as TotalQuantity FROM ChemicalProduction WHERE Chemical = 'A' AND ProductionDate >= '2021-01-01' AND ProductionDate < '2022-01-01' GROUP BY Chemical, Month; | gretelai_synthetic_text_to_sql |
UPDATE suppliers SET sustainability_score = 4.5 WHERE supplier_id = 2; | Update the sustainability_score of the supplier with supplier_id 2 to 4.5 | UPDATE suppliers SET sustainability_score = 4.5 WHERE supplier_id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE developers (id INT, name VARCHAR(50), gender VARCHAR(10), salary INT, join_date DATE); INSERT INTO developers (id, name, gender, salary, join_date) VALUES (1, 'John Doe', 'Male', 80000, '2020-01-01'); INSERT INTO developers (id, name, gender, salary, join_date) VALUES (2, 'Jane Smith', 'Female', 85000, '20... | What is the average salary of developers who joined in 2020, partitioned by gender and ordered by salary? | SELECT gender, AVG(salary) OVER (PARTITION BY gender ORDER BY salary) as avg_salary FROM developers WHERE YEAR(join_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE temperature_anomaly (region varchar(255), year int, anomaly decimal(10,2)); INSERT INTO temperature_anomaly (region, year, anomaly) VALUES ('Southern Ocean', 2018, 1.20), ('Southern Ocean', 2019, 1.50), ('Southern Ocean', 2020, 1.70); | What is the average temperature anomaly in the Southern Ocean in 2020? | SELECT AVG(anomaly) FROM temperature_anomaly WHERE region = 'Southern Ocean' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE ny_community_policing (id INT, event_type TEXT, event_date DATE); INSERT INTO ny_community_policing (id, event_type, event_date) VALUES (1, 'Meeting', '2022-01-01'), (2, 'Workshop', '2022-02-01'), (3, 'Patrol', '2022-03-01'); | How many community policing events were held in New York? | SELECT COUNT(*) FROM ny_community_policing WHERE event_type = 'Meeting' OR event_type = 'Workshop' OR event_type = 'Patrol'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rescue_center_animals (animal_id INT, animal_name VARCHAR(50), region VARCHAR(50)); INSERT INTO rescue_center_animals (animal_id, animal_name, region) VALUES (1, 'Tiger', 'Asian Rainforest'); INSERT INTO rescue_center_animals (animal_id, animal_name, region) VALUES (2, 'Elephant', 'Asian Rainforest'); | Delete all records of animals from the 'Asian Rainforest' region in the rescue center. | DELETE FROM rescue_center_animals WHERE region = 'Asian Rainforest'; | gretelai_synthetic_text_to_sql |
CREATE TABLE WeatherData (id INT, Location VARCHAR(255), Temperature INT, Timestamp DATETIME); INSERT INTO WeatherData (id, Location, Temperature, Timestamp) VALUES (1, 'Brazil', 35, '2022-05-15 12:00:00'), (2, 'Brazil', 38, '2022-05-16 12:00:00'); | List the top 3 hottest days in Brazil in the last 30 days? | SELECT Location, Temperature, Timestamp FROM (SELECT Location, Temperature, Timestamp, ROW_NUMBER() OVER (PARTITION BY Location ORDER BY Temperature DESC) as rn FROM WeatherData WHERE Timestamp BETWEEN DATEADD(day, -30, GETDATE()) AND GETDATE()) t WHERE rn <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE cuisine(id INT, type VARCHAR(255), sales FLOAT); INSERT INTO cuisine (id, type, sales) VALUES (1, 'Italian', 5000.00), (2, 'Mexican', 3000.00), (3, 'Chinese', 4000.00); | What are the total sales for each cuisine type? | SELECT type, SUM(sales) FROM cuisine GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE botnet_threats (id INT, threat_type VARCHAR(50), severity_score INT, threat_date DATE); | What is the average severity score of threats related to 'botnet' in the last year? | SELECT AVG(severity_score) as avg_severity FROM botnet_threats WHERE threat_type = 'botnet' AND threat_date >= DATEADD(year, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_contracts (contract_id INT PRIMARY KEY, contract_name TEXT, contract_version TEXT); INSERT INTO smart_contracts (contract_id, contract_name, contract_version) VALUES (5, 'Uniswap', 'v3'); | What is the name of the smart contract with contract_id 5? | SELECT contract_name FROM smart_contracts WHERE contract_id = 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Operations.Pollution_Initiatives ( id INT, initiative_name VARCHAR(255), budget INT ); | Find the total budget for marine pollution initiatives in the 'Operations' schema's 'Pollution_Initiatives' table | SELECT SUM(budget) FROM Operations.Pollution_Initiatives; | gretelai_synthetic_text_to_sql |
CREATE TABLE network_investments (investment_id INT, region VARCHAR(50), investment_amount FLOAT); INSERT INTO network_investments (investment_id, region, investment_amount) VALUES (1, 'Asia-Pacific', 5000000), (2, 'Europe', 3000000); | What is the total network investment in the Asia-Pacific region? | SELECT SUM(investment_amount) FROM network_investments WHERE region = 'Asia-Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage (year INT, usage FLOAT); INSERT INTO water_usage (year, usage) VALUES (2018, 1234.56), (2019, 2345.67), (2020, 3456.78), (2021, 4567.89); | Determine the average water usage in cubic meters for each year | SELECT year, AVG(usage) FROM water_usage GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (id INT, name TEXT, state TEXT); INSERT INTO community_health_workers (id, name, state) VALUES (1, 'Aaliyah Johnson', 'TX'), (2, 'Brian Martinez', 'FL'); CREATE TABLE cultural_competency_training (id INT, worker_id INT, state TEXT); INSERT INTO cultural_competency_training (id, wor... | How many community health workers have completed cultural competency training in Texas or Florida? | SELECT chw.name FROM community_health_workers chw INNER JOIN cultural_competency_training cct ON chw.id = cct.worker_id WHERE chw.state IN ('TX', 'FL'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_sites (id INT, name VARCHAR(50), location VARCHAR(50), num_employees INT); INSERT INTO mining_sites (id, name, location, num_employees) VALUES (1, 'Site Alpha', 'USA', 100), (2, 'Site Bravo', 'Canada', 150); | What are the names of all the mining sites in the 'mining_sites' table? | SELECT name FROM mining_sites; | gretelai_synthetic_text_to_sql |
CREATE TABLE Mines (MineID INT, Name TEXT, Location TEXT, TotalWorkers INT, EnvironmentalImpactScore INT); INSERT INTO Mines (MineID, Name, Location, TotalWorkers, EnvironmentalImpactScore) VALUES (1, 'Golden Mine', 'California', 250, 60), (2, 'Silver Ridge', 'Nevada', 300, 70); | What is the average environmental impact score for mines in California? | SELECT AVG(EnvironmentalImpactScore) FROM Mines WHERE Location = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, investor VARCHAR(255), project_type VARCHAR(255), amount INT, date DATE); INSERT INTO investments (id, investor, project_type, amount, date) VALUES (12, 'GreenCapital', 'water_treatment', 900000, '2022-07-22'); INSERT INTO investments (id, investor, project_type, amount, date) VALUES (... | List all investments made in 'water_treatment' projects by 'GreenCapital'. | SELECT * FROM investments WHERE investor = 'GreenCapital' AND project_type = 'water_treatment'; | gretelai_synthetic_text_to_sql |
CREATE TABLE transportation_workers (id INT, name TEXT, sector TEXT, salary FLOAT, union_member BOOLEAN); | What is the minimum and maximum salary of workers in the 'transportation' sector, grouped by union membership? | SELECT union_member as union, MIN(salary) as min_salary, MAX(salary) as max_salary FROM transportation_workers WHERE sector = 'transportation' GROUP BY union_member; | gretelai_synthetic_text_to_sql |
CREATE TABLE underwater_canyons (name VARCHAR(255), depth FLOAT); INSERT INTO underwater_canyons (name, depth) VALUES ('Monterey Canyon', 3600.0), ('Saguenay Fjord', 280.0), ('Laurentian Channel', 340.0); | What is the maximum depth of all underwater canyons? | SELECT MAX(depth) FROM underwater_canyons; | gretelai_synthetic_text_to_sql |
CREATE TABLE precinct (id INT, name VARCHAR(50)); INSERT INTO precinct (id, name) VALUES (1, 'Northside'); CREATE TABLE incident (id INT, precinct_id INT, type VARCHAR(50), timestamp TIMESTAMP, response_time INT); | What is the average response time for fire incidents in the 'Northside' precinct? | SELECT AVG(response_time) as avg_response_time FROM incident WHERE precinct_id = 1 AND type = 'fire'; | gretelai_synthetic_text_to_sql |
CREATE TABLE continent_infrastructure (id INT, name VARCHAR(50), continent VARCHAR(50), resilience_score FLOAT); INSERT INTO continent_infrastructure VALUES (1, 'Dam', 'Africa', 80), (2, 'Bridge', 'Asia', 70), (3, 'Road', 'South America', 88); | What is the average resilience score for infrastructure in each continent? | SELECT continent, AVG(resilience_score) FROM continent_infrastructure GROUP BY continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurant_revenue(restaurant_id INT, cuisine VARCHAR(255), daily_revenue DECIMAL(10,2), region VARCHAR(255), revenue_date DATE); | What is the daily revenue for restaurants serving 'Mediterranean' cuisine in the 'Europe' region for the month of August 2022? | SELECT daily_revenue FROM restaurant_revenue WHERE cuisine = 'Mediterranean' AND region = 'Europe' AND revenue_date BETWEEN '2022-08-01' AND '2022-08-31' GROUP BY revenue_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE exhibitions (exhibition_id INT, name VARCHAR(255)); INSERT INTO exhibitions (exhibition_id, name) VALUES (1, 'Art of the Renaissance'); CREATE TABLE visitors (visitor_id INT, exhibition_id INT, age INT); INSERT INTO visitors (visitor_id, exhibition_id, age) VALUES (1, 1, 35), (2, 1, 42), (3, 1, 28); | What was the average age of visitors who attended the Art of the Renaissance exhibition? | SELECT AVG(age) as avg_age FROM visitors WHERE exhibition_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (Artist VARCHAR(50), Artwork VARCHAR(50), Year INT); INSERT INTO Artworks (Artist, Artwork, Year) | Delete artworks from 2000 in the 'Artworks' table | DELETE FROM Artworks WHERE Year = 2000 | gretelai_synthetic_text_to_sql |
CREATE TABLE HumanResources (employee_id INT, name VARCHAR(50), department VARCHAR(50), salary FLOAT, gender VARCHAR(10)); INSERT INTO HumanResources (employee_id, name, department, salary, gender) VALUES (1, 'John Doe', 'HumanResources', 60000, 'Male'), (2, 'Jane Smith', 'HumanResources', 65000, 'Female'); | What is the average annual salary of employees in the 'HumanResources' department, partitioned by gender? | SELECT department, gender, AVG(salary) AS avg_salary FROM (SELECT employee_id, name, department, salary, gender, ROW_NUMBER() OVER (PARTITION BY department, gender ORDER BY salary) as rn FROM HumanResources) x WHERE rn = 1 GROUP BY department, gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE graduate_students (id INT, name VARCHAR(50), department VARCHAR(50)); CREATE TABLE publications (id INT, title VARCHAR(100), author_id INT, department VARCHAR(50)); | What is the maximum number of publications for a single graduate student in the Physics department? | SELECT MAX(publications_count) FROM (SELECT graduate_students.id, COUNT(publications.id) AS publications_count FROM graduate_students INNER JOIN publications ON graduate_students.id = publications.author_id WHERE graduate_students.department = 'Physics' GROUP BY graduate_students.id) AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE plants (id INT, name TEXT, location TEXT, safety_score INT); INSERT INTO plants (id, name, location, safety_score) VALUES (1, 'ChemCo', 'California', 85), (2, 'EcoChem', 'California', 92), (3, 'GreenChem', 'Nevada', 88); | What is the average safety score for chemical plants located in California, ordered by plant name? | SELECT AVG(safety_score) AS avg_safety_score FROM plants WHERE location = 'California' ORDER BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_data (hotel_id INT, hotel_name TEXT, rating FLOAT, virtual_tour_engagement FLOAT); INSERT INTO hotel_data (hotel_id, hotel_name, rating, virtual_tour_engagement) VALUES (1, 'Hotel X', 4.5, 0.15), (2, 'Hotel Y', 4.2, 0.20), (3, 'Hotel Z', 3.8, 0.10), (4, 'Hotel W', 4.7, 0.18), (5, 'Hotel V', 4.0, 0.12... | What is the correlation between virtual tour engagement and hotel rating? | SELECT CORR(rating, virtual_tour_engagement) FROM hotel_data; | gretelai_synthetic_text_to_sql |
CREATE TABLE delivery_data (delivery_id INT, shipment_id INT, delivery_time INT); INSERT INTO delivery_data (delivery_id, shipment_id, delivery_time) VALUES (1, 1, 10), (2, 2, 15), (3, 3, 12), (4, 4, 18), (5, 5, 20); | What is the average delivery time for packages shipped to Africa? | SELECT AVG(delivery_time) FROM delivery_data JOIN shipment_data ON delivery_data.shipment_id = shipment_data.shipment_id WHERE shipment_data.destination_country = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cybersecurity_policies (id INT, name VARCHAR(50), description TEXT, date DATE); INSERT INTO cybersecurity_policies (id, name, description, date) VALUES (1, 'Incident response policy', 'Outlines the process for responding to security incidents', '2022-04-15'), (2, 'Access control policy', 'Defines who has a... | Show me the cybersecurity policies that were dropped in the last week. | SELECT * FROM cybersecurity_policies WHERE date >= DATEADD(week, -1, GETDATE()) AND name = 'Password policy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wind_energy (year INT, region VARCHAR(20), energy_generated INT);CREATE TABLE solar_energy (year INT, region VARCHAR(20), energy_generated INT); | What is the total energy generated by wind and solar sources in 2021? | SELECT SUM(w.energy_generated) + SUM(s.energy_generated) FROM wind_energy w JOIN solar_energy s ON w.year = s.year WHERE w.year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE athletes (athlete_id INT, name VARCHAR(50), state VARCHAR(2)); INSERT INTO athletes (athlete_id, name, state) VALUES (1, 'Alex', 'CA'), (2, 'Beth', 'NY'), (3, 'Charlie', 'CA'); CREATE TABLE wellbeing_programs (program_id INT, athlete_id INT); INSERT INTO wellbeing_programs (program_id, athlete_id) VALUES (... | List all athletes participating in wellbeing programs in California | SELECT athletes.name FROM athletes INNER JOIN wellbeing_programs ON athletes.athlete_id = wellbeing_programs.athlete_id WHERE athletes.state = 'CA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE accessible_tech_donations (city VARCHAR(50), year INT, devices INT); INSERT INTO accessible_tech_donations (city, year, devices) VALUES ('San Francisco', 2020, 150), ('New York', 2021, 200), ('Los Angeles', 2019, 120), ('Chicago', 2020, 180), ('Houston', 2021, 220); | Find the number of accessible technology devices donated per city in the last 3 years, ordered by the most donated. | SELECT city, SUM(devices) as total_devices FROM accessible_tech_donations WHERE year >= 2019 GROUP BY city ORDER BY total_devices DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Menu_Item (item_name VARCHAR(255), last_sold TIMESTAMP); INSERT INTO Menu_Item (item_name, last_sold) VALUES ('Burger', '2022-02-20 12:00:00'), ('Fries', '2022-02-25 10:00:00'); | Which menu items have not been sold in the last week? | SELECT item_name FROM Menu_Item WHERE last_sold <= DATE_SUB(CURRENT_TIMESTAMP, INTERVAL 1 WEEK); | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, name VARCHAR(50), age INT, gender VARCHAR(10), diagnosis VARCHAR(50), location VARCHAR(50)); INSERT INTO patients (id, name, age, gender, diagnosis, location) VALUES (1, 'Jane Doe', 65, 'Female', 'Hypertension', 'Texas'), (2, 'John Doe', 45, 'Male', 'Hypertension', 'Texas'), (3, 'Jim Brow... | What is the average age of patients with hypertension in rural Texas who are female? | SELECT AVG(age) FROM patients WHERE diagnosis = 'Hypertension' AND gender = 'Female' AND location = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Labor_Statistics_MA (state VARCHAR(2), year INT, workers_count INT); INSERT INTO Labor_Statistics_MA VALUES ('MA', 2020, 30000); | List all construction labor statistics for Massachusetts in 2020 | SELECT * FROM Labor_Statistics_MA WHERE state = 'MA' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE drilling_operations (drill_id INT, well_id INT, start_date DATE, end_date DATE, status VARCHAR(50)); INSERT INTO drilling_operations (drill_id, well_id, start_date, end_date, status) VALUES (1, 1, '2020-01-01', '2020-04-30', 'Completed'), (2, 2, '2020-02-15', '2020-05-25', 'In Progress'), (3, 3, '2019-12-1... | Which wells had drilling operations started in 2019? | SELECT well_id FROM drilling_operations WHERE start_date BETWEEN '2019-01-01' AND '2019-12-31' GROUP BY well_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE songs (id INT, title TEXT, length FLOAT, genre TEXT); INSERT INTO songs (id, title, length, genre) VALUES (1, 'Song1', 120.0, 'Rock'), (2, 'Song2', 180.0, 'Pop'), (3, 'Song3', 240.0, 'Jazz'), (4, 'Song4', 90.0, 'Classical'), (5, 'Song5', 150.0, 'Hip-Hop'), (6, 'Song6', 210.0, 'Rock'); | How many unique genres are represented in the database? | SELECT COUNT(DISTINCT genre) FROM songs; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (employee_name VARCHAR(50), department_name VARCHAR(50), salary DECIMAL(10,2)); | What is the name of the department with the highest average salary in the employees table? | SELECT department_name FROM employees WHERE (SELECT AVG(salary) FROM employees AS e2 WHERE e1.department_name = e2.department_name) = (SELECT MAX(avg_salary) FROM (SELECT department_name, AVG(salary) AS avg_salary FROM employees GROUP BY department_name) AS e3); | gretelai_synthetic_text_to_sql |
CREATE TABLE CityEnergyConsumption (city TEXT, energy_consumption FLOAT); INSERT INTO CityEnergyConsumption (city, energy_consumption) VALUES ('City1', 12000), ('City2', 15000), ('City3', 18000); | What is the total energy consumption of buildings for each city in the 'CityEnergyConsumption' table? | SELECT city, SUM(energy_consumption) FROM CityEnergyConsumption GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_transportation (id INT, trip_date DATE, trip_type VARCHAR(20), num_trips INT); | Find the number of public transportation trips in 'public_transportation' table that were taken in '2022-01-01' and '2022-12-31' and display the results by trip_type. | SELECT trip_type, COUNT(*) AS num_trips FROM public_transportation WHERE trip_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY trip_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessel_inspections (vessel_name VARCHAR(255), inspection_year INT, inspection_location VARCHAR(255)); INSERT INTO vessel_inspections (vessel_name, inspection_year, inspection_location) VALUES ('MV Nisha', 2020, 'Arctic'), ('MV Ravi', 2019, 'Arctic'); | How many vessels were inspected for maritime law compliance in the Arctic in 2019? | SELECT COUNT(*) FROM vessel_inspections WHERE inspection_year = 2019 AND inspection_location = 'Arctic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (student_id INT, name VARCHAR(255), major VARCHAR(255), gpa DECIMAL(3,2)); CREATE TABLE research_grants (grant_id INT, title VARCHAR(255), amount DECIMAL(10,2), department VARCHAR(255)); CREATE VIEW major_grants AS SELECT * FROM research_grants WHERE amount > 40000; | List the titles and amounts of all research grants in the "major_grants" view. | SELECT title, amount FROM major_grants; | gretelai_synthetic_text_to_sql |
CREATE TABLE ClassicGame (GameID INT, PlayerID INT, PlayerName VARCHAR(50)); INSERT INTO ClassicGame (GameID, PlayerID, PlayerName) VALUES (2001, 1, 'John'), (2002, 2, 'Sarah'), (2003, 3, 'Mike'); | What are the names of players who have played the 'ClassicGame' table? | SELECT PlayerName FROM ClassicGame; | gretelai_synthetic_text_to_sql |
CREATE TABLE platforms (platform_id INT, daily_gas_production FLOAT); INSERT INTO platforms (platform_id, daily_gas_production) VALUES (1, 2000000), (2, 3000000), (3, 1000000), (4, 4000000); | Calculate the total daily gas production for each platform | SELECT platform_id, SUM(daily_gas_production) as total_daily_gas_production FROM platforms GROUP BY platform_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE food_safety_inspections (restaurant VARCHAR(255), inspection_date DATE, score INT); INSERT INTO food_safety_inspections (restaurant, inspection_date, score) VALUES ('Restaurant A', '2022-01-01', 95), ('Restaurant A', '2022-02-01', 90), ('Restaurant B', '2022-01-01', 85), ('Restaurant B', '2022-02-01', 88); | What was the average food safety score for each restaurant in the last 6 months? | SELECT restaurant, AVG(score) FROM food_safety_inspections WHERE inspection_date >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH) GROUP BY restaurant; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, founded_date DATE, founder_gender TEXT); INSERT INTO companies (id, name, founded_date, founder_gender) VALUES (1, 'Acme Inc', '2010-01-01', 'male'); INSERT INTO companies (id, name, founded_date, founder_gender) VALUES (2, 'Beta Corp', '2015-05-15', 'male'); | Update the gender of the founder for a specific company. | UPDATE companies SET founder_gender = 'female' WHERE id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE offenders (offender_id INT, age INT, state VARCHAR(20)); INSERT INTO offenders (offender_id, age, state) VALUES (1, 34, 'California'), (2, 45, 'California'); CREATE TABLE restorative_justice (offender_id INT, program_completion BOOLEAN); INSERT INTO restorative_justice (offender_id, program_completion) VAL... | What is the average age of offenders who completed restorative justice programs in California? | SELECT AVG(offenders.age) FROM offenders INNER JOIN restorative_justice ON offenders.offender_id = restorative_justice.offender_id WHERE restorative_justice.program_completion = TRUE AND offenders.state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE citizen_feedback_records (state VARCHAR(20), response_time INT); INSERT INTO citizen_feedback_records (state, response_time) VALUES ('Florida', 48); INSERT INTO citizen_feedback_records (state, response_time) VALUES ('Florida', 52); INSERT INTO citizen_feedback_records (state, response_time) VALUES ('Texas... | What is the maximum response time for citizen feedback records in the state of Texas? | SELECT MAX(response_time) FROM citizen_feedback_records WHERE state = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_treatment_plants (id INT, name VARCHAR(50), division VARCHAR(50), daily_production_capacity INT, daily_consumption FLOAT); INSERT INTO water_treatment_plants (id, name, division, daily_production_capacity, daily_consumption) VALUES (1, 'Plant A', 'Utilities', 5000, 4500.0), (2, 'Plant B', 'Utilities'... | List the water treatment plants in the utilities division along with their daily water production capacity and the average daily water consumption. | SELECT name, daily_production_capacity, AVG(daily_consumption) FROM water_treatment_plants WHERE division = 'Utilities' GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_id INT, amount DECIMAL(10,2), donation_date DATE, ethnicity VARCHAR(50)); INSERT INTO donations (id, donor_id, amount, donation_date, ethnicity) VALUES (1, 101, 500.00, '2021-01-01', 'Asian'), (2, 102, 300.00, '2021-02-15', 'Hispanic'), (3, 101, 600.00, '2022-04-01', 'Asian'); | What is the total amount donated by each donor who has made a donation in both the last and current quarters, broken down by their ethnicity? | SELECT donor_id, SUM(amount), ethnicity FROM donations WHERE donation_date BETWEEN DATE_SUB(CURDATE(), INTERVAL 6 MONTH) AND DATE_SUB(CURDATE(), INTERVAL 3 MONTH) GROUP BY donor_id, ethnicity; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farmers (FarmerID INT, Name VARCHAR(50), Age INT, Country VARCHAR(50)); INSERT INTO Farmers (FarmerID, Name, Age, Country) VALUES (3, 'Raj Patel', 45, 'India'); INSERT INTO Farmers (FarmerID, Name, Age, Country) VALUES (4, 'Priya Kumar', 30, 'India'); | What is the total quantity of fish farmed by farmers from India who are above 40 years old? | SELECT SUM(Quantity) FROM FishStock fs JOIN Farmers f ON fs.FarmerID = f.FarmerID WHERE f.Country = 'India' AND f.Age > 40; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (startup_name VARCHAR(50), funding_amount INT); | Update the 'funding_amount' for 'Startup ABC' in the 'startups' table to '5000000' | UPDATE startups SET funding_amount = 5000000 WHERE startup_name = 'Startup ABC'; | gretelai_synthetic_text_to_sql |
CREATE TABLE garments (id INT, name VARCHAR(255), category VARCHAR(255), country VARCHAR(255), price DECIMAL(10,2)); INSERT INTO garments (id, name, category, country, price) VALUES (1, 'Tencel Shirt', 'Tops', 'Australia', 60.00); | Calculate the average price of 'Tencel Shirts' sold in Australia. | SELECT AVG(price) FROM orders INNER JOIN garments ON orders.garment_id = garments.id WHERE garments.name = 'Tencel Shirt' AND garments.country = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(255), region VARCHAR(50), certified_cruelty_free BOOLEAN); INSERT INTO products (product_id, product_name, region, certified_cruelty_free) VALUES (1, 'Lipstick A', 'Europe', true), (2, 'Foundation B', 'Asia', false), (3, 'Mascara C', 'Europe', true), (4, 'Eye-... | What is the percentage of cosmetic products that are certified cruelty-free in the Asian market? | SELECT 100.0 * SUM(certified_cruelty_free) / COUNT(*) AS percentage_cruelty_free FROM products WHERE region = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE trips (id INT PRIMARY KEY, mode VARCHAR(20), time FLOAT, city VARCHAR(20)); | What is the minimum time taken by a multimodal trip in London? | SELECT MIN(time) FROM trips WHERE mode = 'Multimodal' AND city = 'London'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MentalHealthParity (Id INT, Region VARCHAR(20), ReportDate DATE); INSERT INTO MentalHealthParity (Id, Region, ReportDate) VALUES (1, 'Southwest', '2020-01-01'), (2, 'Northeast', '2019-12-31'), (3, 'Southwest', '2020-06-15'), (4, 'Northeast', '2020-01-10'), (5, 'Southwest', '2020-06-15'), (6, 'Northeast', '... | What is the total number of mental health parity cases reported in the Northeast region in 2019? | SELECT COUNT(*) as CountOfCases FROM MentalHealthParity WHERE Region = 'Northeast' AND YEAR(ReportDate) = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE Countries (id INT, name VARCHAR(50), region VARCHAR(50)); INSERT INTO Countries (id, name, region) VALUES (1, 'Kenya', 'Africa'), (2, 'Nigeria', 'Africa'), (3, 'South Africa', 'Africa'), (4, 'Egypt', 'Africa'), (5, 'Tanzania', 'Africa'); CREATE TABLE ArtsEvents (id INT, country_id INT, name VARCHAR(50)); I... | List the top 3 countries with the most traditional arts events in Africa. | SELECT country, COUNT(*) as events_count FROM ArtsEvents GROUP BY country ORDER BY events_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE urban.buildings (certification_level VARCHAR(255), energy_consumption INT); INSERT INTO urban.buildings (certification_level, energy_consumption) VALUES ('Gold', 1200), ('Gold', 1500), ('Silver', 1700), ('Silver', 1300), ('Bronze', 1000), ('Bronze', 1100); | What is the average energy consumption of buildings in the 'urban' schema, grouped by certification level? | SELECT certification_level, AVG(energy_consumption) FROM urban.buildings GROUP BY certification_level; | gretelai_synthetic_text_to_sql |
CREATE TABLE ny_sales (revenue DECIMAL(10,2), quarter VARCHAR(10), year INT); INSERT INTO ny_sales (revenue, quarter, year) VALUES (50000, 'Q1', 2022), (60000, 'Q1', 2022), (40000, 'Q1', 2022); | What is the total revenue generated by cannabis sales in New York in Q1 2022? | SELECT SUM(revenue) as total_revenue FROM ny_sales WHERE quarter = 'Q1' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_farms_4 (id INT, name TEXT, country TEXT, biomass FLOAT); INSERT INTO marine_farms_4 (id, name, country, biomass) VALUES (1, 'Farm K', 'Norway', 4500.0), (2, 'Farm L', 'Spain', 5500.0), (3, 'Farm M', 'Japan', 6500.0); | Which are the top 3 countries with the highest total biomass in marine farms? | SELECT country, SUM(biomass) AS total_biomass FROM marine_farms_4 GROUP BY country ORDER BY total_biomass DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE esports_events (event_id INT, country VARCHAR(20), num_teams INT); | How many esports events happened in each country, in descending order of events? | SELECT country, COUNT(*) as num_events FROM esports_events GROUP BY country ORDER BY num_events DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE visitor_statistics (id INT PRIMARY KEY, country VARCHAR(50), year INT, month INT, visitors INT); | Create a view for the international visitor statistics by year and country | CREATE VIEW visitor_statistics_by_year_country AS SELECT country, year, SUM(visitors) AS total_visitors FROM visitor_statistics GROUP BY country, year; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients(id INT, name TEXT, neighborhood TEXT, financial_wellbeing_score INT); | What is the average financial wellbeing score for clients in low-income neighborhoods? | SELECT AVG(c.financial_wellbeing_score) FROM clients c WHERE c.neighborhood LIKE '%low-income%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE solar_projects (id INT, state VARCHAR(20), construction_year INT, installed_capacity FLOAT); INSERT INTO solar_projects (id, state, construction_year, installed_capacity) VALUES (1, 'California', 2016, 50.0), (2, 'California', 2017, 60.5), (3, 'California', 2018, 75.2), (4, 'California', 2019, 80.0); | What is the total installed capacity of solar projects in the state of California that were constructed after 2015? | SELECT SUM(installed_capacity) FROM solar_projects WHERE state = 'California' AND construction_year > 2015; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (id INT, name VARCHAR(50), position VARCHAR(20), age INT); INSERT INTO players (id, name, position, age) VALUES (1, 'John Doe', 'Guard', 25), (2, 'Jane Smith', 'Forward', 30); CREATE TABLE nba_teams (id INT, team_name VARCHAR(50), players_id INT); INSERT INTO nba_teams (id, team_name, players_id) V... | What is the average age of basketball players in the NBA by position? | SELECT position, AVG(age) FROM players JOIN nba_teams ON players.id = nba_teams.players_id GROUP BY position; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech; CREATE TABLE if not exists biotech.genetic_patents (id INT, name VARCHAR(50), location VARCHAR(50), filed_date DATE, industry VARCHAR(50)); INSERT INTO biotech.genetic_patents (id, name, location, filed_date, industry) VALUES (1, 'PatentA', 'India', '2021-05-15', 'Genetic Research')... | What is the total number of genetic research patents filed per country, in the past 3 years, with a rank per country? | SELECT location, ROW_NUMBER() OVER (PARTITION BY location ORDER BY total_patents DESC) as country_rank, total_patents FROM (SELECT location, COUNT(*) as total_patents FROM biotech.genetic_patents WHERE industry = 'Genetic Research' AND filed_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 YEAR) GROUP BY location) as genetic_... | gretelai_synthetic_text_to_sql |
CREATE TABLE gadolinium_production (id INT, name VARCHAR(255), element VARCHAR(10), country VARCHAR(100), production_date DATE, quantity FLOAT); INSERT INTO gadolinium_production (id, name, element, country, production_date, quantity) VALUES (1, 'GreenTech', 'Gd', 'USA', '2019-01-01', 15.0), (2, 'CleanEarth', 'Gd', 'Ca... | Delete all rows of Gadolinium production for 'SustainableInc' in 2019. | DELETE FROM gadolinium_production WHERE name = 'SustainableInc' AND YEAR(production_date) = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE businesses (id INT, name TEXT, industry TEXT, ownership TEXT, funding FLOAT); INSERT INTO businesses (id, name, industry, ownership, funding) VALUES (1, 'HealthCo', 'Health', 'Majority', 200000.00); INSERT INTO businesses (id, name, industry, ownership, funding) VALUES (2, 'TechCo', 'Technology', 'Minority... | What is the maximum amount of funding allocated to a business in the Finance sector? | SELECT MAX(funding) FROM businesses WHERE industry = 'Finance'; | gretelai_synthetic_text_to_sql |
CREATE TABLE regulatory_frameworks (country TEXT, asset TEXT, status TEXT); INSERT INTO regulatory_frameworks (country, asset, status) VALUES ('Brazil', 'Stellar', 'Approved'); | What is the regulatory status of Stellar in Brazil? | SELECT status FROM regulatory_frameworks WHERE country = 'Brazil' AND asset = 'Stellar'; | gretelai_synthetic_text_to_sql |
funding(id, startup_id, funding_round, funding_amount, date_announced) | Update the funding amount for startup with id 1 in the 'funding' table | UPDATE funding SET funding_amount = 1000000 WHERE startup_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE data_usage (subscriber_id INT, service VARCHAR(10), start_date DATE, end_date DATE, data_usage INT); INSERT INTO data_usage (subscriber_id, service, start_date, end_date, data_usage) VALUES (1, 'prepaid', '2022-01-01', '2022-01-31', 3000), (2, 'prepaid', '2022-02-01', '2022-02-28', 3500); | What is the average monthly data usage for prepaid mobile subscribers? | SELECT AVG(data_usage) FROM data_usage WHERE service = 'prepaid'; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemical_batches (batch_id INT, pressure FLOAT, timestamp TIMESTAMP); INSERT INTO chemical_batches (batch_id, pressure, timestamp) VALUES (1, 1200, '2021-01-01 00:00:00'); INSERT INTO chemical_batches (batch_id, pressure, timestamp) VALUES (2, 1100, '2021-01-02 00:00:00'); | Identify the chemical batch with the lowest pressure value. | SELECT batch_id, pressure FROM (SELECT batch_id, pressure, ROW_NUMBER() OVER (ORDER BY pressure ASC) as row_num FROM chemical_batches) as subquery WHERE row_num = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_contracts (dapp_name VARCHAR(20), contract_address VARCHAR(40)); INSERT INTO smart_contracts (dapp_name, contract_address) VALUES ('Uniswap', '0x1234567890'), ('Sushiswap', '0x2345678901'), ('Uniswap', '0xabcdefghij'); | List all smart contracts associated with the decentralized application 'Uniswap' on a specific date. | SELECT contract_address FROM smart_contracts WHERE dapp_name = 'Uniswap'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkers (WorkerID INT, Name VARCHAR(50), Specialty VARCHAR(50)); CREATE TABLE Cases (WorkerID INT, CaseID INT, CaseType VARCHAR(20)); INSERT INTO CommunityHealthWorkers (WorkerID, Name, Specialty) VALUES (1, 'John Doe', 'Mental Health'); INSERT INTO CommunityHealthWorkers (WorkerID, Name, Sp... | List the names of community health workers who manage cases of both mental health and physical health. | SELECT DISTINCT c.Name FROM Cases c INNER JOIN CommunityHealthWorkers h ON c.WorkerID = h.WorkerID WHERE h.Specialty IN ('Mental Health', 'Physical Health') GROUP BY c.Name HAVING COUNT(DISTINCT c.CaseType) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_competency_trainings (training_id INT, location VARCHAR(50), date DATE); | Insert a new cultural competency training in Chicago, IL on 2022-04-01. | INSERT INTO cultural_competency_trainings (training_id, location, date) VALUES (4, 'Chicago, IL', '2022-04-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE stores (store_id INT, store_name VARCHAR(50), country VARCHAR(50)); CREATE TABLE inventory (product_id INT, store_id INT, in_stock INT, ethical_product BOOLEAN); INSERT INTO stores (store_id, store_name, country) VALUES (1, 'Store A', 'USA'), (2, 'Store B', 'Canada'), (3, 'Store C', 'USA'); INSERT INTO inv... | Which stores in the USA have more than 50 units of ethical products in stock? | SELECT s.store_name FROM stores s JOIN inventory i ON s.store_id = i.store_id WHERE i.ethical_product = true AND s.country = 'USA' GROUP BY s.store_name HAVING SUM(i.in_stock) > 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE ingredient_transparency (ingredient_id INT PRIMARY KEY, product_id INT, ingredient_name VARCHAR(255), ingredient_safety_rating INT); | Insert data for a new product 'Vegan Lipstick' with ingredient 'Organic Avocado Oil' and safety rating 5 into 'ingredient_transparency' table | INSERT INTO ingredient_transparency (ingredient_id, product_id, ingredient_name, ingredient_safety_rating) VALUES ((SELECT MAX(ingredient_id) FROM ingredient_transparency)+1, (SELECT MAX(product_id) FROM ingredient_transparency)+1, 'Organic Avocado Oil', 5); | gretelai_synthetic_text_to_sql |
CREATE TABLE Accommodations (student_id INT, accommodation_type VARCHAR(50), state VARCHAR(50), request_date DATE, visual_impairment BOOLEAN); | List the number of students with visual impairments who received accommodations in each state in 2022. | SELECT state, COUNT(DISTINCT student_id) FROM Accommodations WHERE request_date >= '2022-01-01' AND request_date < '2023-01-01' AND visual_impairment = TRUE GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE union_details (id INT, union_name VARCHAR(255), location VARCHAR(255));INSERT INTO union_details (id, union_name, location) VALUES (1, 'California Nurses Association', 'California'); INSERT INTO union_details (id, union_name, location) VALUES (2, 'United Teachers Los Angeles', 'California'); | Find the number of members in unions based in California | SELECT COUNT(*) FROM union_details WHERE location = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID INT, EventName TEXT, Country TEXT, Year INT); CREATE TABLE Volunteers (VolunteerID INT, EventID INT, Name TEXT); INSERT INTO Events (EventID, EventName, Country, Year) VALUES (1, 'Gala', 'USA', 2020), (2, 'Fundraiser', 'UK', 2020); INSERT INTO Volunteers (VolunteerID, EventID, Name) VALUES ... | List all events with more than 50 volunteers from the United States and United Kingdom in 2020, including their event names and total volunteer counts. | SELECT e.EventName, COUNT(v.VolunteerID) AS TotalVolunteers FROM Events e JOIN Volunteers v ON e.EventID = v.EventID WHERE e.Country IN ('USA', 'UK') AND TotalVolunteers > 50 GROUP BY e.EventID; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (id INT, material VARCHAR(20), city VARCHAR(20), rate DECIMAL(3,2)); INSERT INTO recycling_rates (id, material, city, rate) VALUES (1, 'Electronics', 'Montreal', 0.55), (2, 'Textiles', 'Montreal', 0.40); | Find the recycling rates for 'Electronics' and 'Textiles' materials in 'Montreal' | SELECT material, rate FROM recycling_rates WHERE material IN ('Electronics', 'Textiles') AND city = 'Montreal'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cargo_handling (transaction_id INT, port VARCHAR(255), date DATE, weight INT); INSERT INTO cargo_handling (transaction_id, port, date, weight) VALUES (1, 'PortA', '2022-01-01', 5000), (2, 'PortB', '2022-01-05', 7000), (3, 'PortA', '2022-01-10', 9000); | What are the top 3 heaviest cargo handling transactions for each port in the cargo_handling table? | SELECT port, transaction_id, weight FROM (SELECT port, transaction_id, weight, ROW_NUMBER() OVER (PARTITION BY port ORDER BY weight DESC) as rn FROM cargo_handling) t WHERE t.rn <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, company_id INT, investment_date DATE, amount FLOAT); INSERT INTO investments (id, company_id, investment_date, amount) VALUES (1, 6, '2022-01-10', 150000.0), (2, 7, '2022-03-25', 300000.0), (3, 8, '2021-12-30', 550000.0); | How many investments were made in the education sector in Q1 of 2022? | SELECT COUNT(*) FROM investments WHERE investment_date >= '2022-01-01' AND investment_date < '2022-04-01' AND company_id IN (SELECT id FROM companies WHERE sector = 'Education'); | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, customer_id INT, transaction_amount DECIMAL, transaction_date DATE); INSERT INTO transactions (transaction_id, customer_id, transaction_amount, transaction_date) VALUES (1, 1, 50.00, '2022-01-01'), (2, 2, 1500.00, '2022-02-15'); CREATE TABLE customers (customer_id INT, nam... | What is the total transaction amount for each customer in the past year? | SELECT c.name, SUM(t.transaction_amount) FROM customers c JOIN transactions t ON c.customer_id = t.customer_id WHERE t.transaction_date >= DATEADD(year, -1, GETDATE()) GROUP BY c.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Age INT, Gender VARCHAR(10), TotalHoursPlayed INT); CREATE TABLE Events (EventID INT, EventName VARCHAR(20), Game VARCHAR(10)); INSERT INTO Players (PlayerID, Age, Gender, TotalHoursPlayed) VALUES (1, 25, 'Female', 100); INSERT INTO Players (PlayerID, Age, Gender, TotalHoursPlayed) V... | What is the total number of hours played by female players in Esports events? | SELECT SUM(TotalHoursPlayed) FROM Players P INNER JOIN Events E ON P.TotalHoursPlayed > 0 AND P.Gender = 'Female' AND E.Game = 'Esports'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cultural_Events (event_id INT, event_name VARCHAR(255), country VARCHAR(255)); INSERT INTO Cultural_Events (event_id, event_name, country) VALUES (1, 'Art Exhibit', 'USA'), (2, 'Theater Performance', 'Canada'), (3, 'Music Concert', 'USA'), (4, 'Dance Festival', 'Mexico'), (5, 'Film Festival', 'Canada'); | Find the top 2 countries with the highest number of cultural events and the respective number of events. | SELECT country, COUNT(event_id) AS num_events FROM Cultural_Events GROUP BY country ORDER BY num_events DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE crime_stats (id INT, year INT, month INT, type VARCHAR(255), PRIMARY KEY(id)); | Delete all records for 'january' month from 'crime_stats' table | DELETE FROM crime_stats WHERE month = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_branch (id INT, name VARCHAR(255)); CREATE TABLE peacekeeping_missions (id INT, military_branch_id INT, troops INT, mission_date DATE); | What is the maximum number of troops deployed for peacekeeping missions by each military branch in the last 5 years? | SELECT m.name as branch, MAX(pm.troops) as max_troops_deployed FROM military_branch m JOIN peacekeeping_missions pm ON m.id = pm.military_branch_id AND pm.mission_date >= DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR) GROUP BY m.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (state VARCHAR(20), year INT, recycling_rate FLOAT); INSERT INTO recycling_rates (state, year, recycling_rate) VALUES ('Texas', 2022, 45.0); | What is the current recycling rate in the state of Texas? | SELECT recycling_rate FROM recycling_rates WHERE state = 'Texas' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE Mining_Operations (id INT, operation_name VARCHAR(50), location VARCHAR(50), cost FLOAT, year INT); INSERT INTO Mining_Operations (id, operation_name, location, cost, year) VALUES (1, 'Operation A', 'USA', 100000.00, 2020), (2, 'Operation B', 'Canada', 120000.00, 2019), (3, 'Operation C', 'Mexico', 90000.0... | What is the total amount spent on mining operations in the year 2020? | SELECT SUM(cost) FROM Mining_Operations WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE game_design (game_id INT, game_name VARCHAR(50), genre VARCHAR(20), revenue FLOAT, vr_compatible BOOLEAN); INSERT INTO game_design (game_id, game_name, genre, revenue, vr_compatible) VALUES (1, 'Elite Dangerous', 'Space Sim', 50.0, true), (2, 'Witcher 3', 'RPG', 120.0, false), (3, 'Half-Life: Alyx', 'Actio... | List all games that are not designed for VR. | SELECT game_name FROM game_design WHERE vr_compatible = false; | gretelai_synthetic_text_to_sql |
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