context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE SupportPrograms (program_id INT, program_name VARCHAR(255), cost DECIMAL(10, 2)); INSERT INTO SupportPrograms (program_id, program_name, cost) VALUES (2001, 'Buddy Program', 1500.00), (2002, 'Mentorship Program', 2500.00), (2003, 'Tutoring Program', 3500.00), (2004, 'Counseling Program', 4500.00); | What are the total costs of support programs for 'Mentorship Program' and 'Tutoring Program' from the 'SupportPrograms' table? | SELECT SUM(cost) FROM SupportPrograms WHERE program_name IN ('Mentorship Program', 'Tutoring Program'); | gretelai_synthetic_text_to_sql |
CREATE TABLE FlightSafety(flight_number VARCHAR(10), safety_record INT); INSERT INTO FlightSafety VALUES('BB123', 99),('BB456', 97); | What is the maximum safety record for flights 'BB123' and 'BB456'? | SELECT MAX(safety_record) FROM FlightSafety WHERE flight_number IN ('BB123', 'BB456'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mines (id INT, name TEXT, location TEXT, production_volume INT, product TEXT, num_employees INT); INSERT INTO mines (id, name, location, production_volume, product, num_employees) VALUES (1, 'Bronze Basin', 'Australia', 8000, 'Bronze', 400); | How many employees work at the 'Bronze Basin' mine?' | SELECT num_employees FROM mines WHERE name = 'Bronze Basin'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (id INT, name VARCHAR(50), data_plan VARCHAR(20), state VARCHAR(50)); INSERT INTO mobile_subscribers (id, name, data_plan, state) VALUES (15, 'Jasmine Smith', 'Limited', 'TX'); INSERT INTO mobile_subscribers (id, name, data_plan, state) VALUES (16, 'Kevin Lewis', 'Limited', 'TX'); | How many mobile subscribers are there in Texas with a data plan that is not unlimited? | SELECT COUNT(*) FROM mobile_subscribers WHERE data_plan != 'Unlimited' AND state = 'TX'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SmartCities (CityID INT, CityName VARCHAR(255), InitiativeName VARCHAR(255), StartDate DATE); INSERT INTO SmartCities (CityID, CityName, InitiativeName, StartDate) VALUES (1, 'City B', 'Smart Grid Initiative', '2020-01-01'); | List all smart city initiatives in 'City B' with their respective start dates. | SELECT CityName, InitiativeName, StartDate FROM SmartCities WHERE CityName = 'City B'; | gretelai_synthetic_text_to_sql |
CREATE TABLE flu_shots (patient_id INT, shot_date DATE, state VARCHAR(2)); INSERT INTO flu_shots (patient_id, shot_date, state) VALUES (1, '2020-11-05', 'IL'), (2, '2020-12-10', 'IL'); | How many patients have not received a flu shot in Illinois as of December 2020? | SELECT COUNT(*) - (SELECT COUNT(*) FROM flu_shots WHERE state = 'IL' AND MONTH(shot_date) <= 12 AND YEAR(shot_date) = 2020) AS num_no_flu_shot FROM flu_shots WHERE state = 'IL'; | gretelai_synthetic_text_to_sql |
CREATE TABLE shariah_compliant_mortgages (mortgage_id INT, customer_id INT); INSERT INTO shariah_compliant_mortgages (mortgage_id, customer_id) VALUES (1, 4), (2, 5), (3, 6); | How many customers have a Shariah-compliant mortgage? | SELECT COUNT(DISTINCT customer_id) FROM shariah_compliant_mortgages; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT, name VARCHAR(30), location VARCHAR(10), growing_season VARCHAR(10)); | How many farmers in the 'urban' area are growing crops in the 'dry' season? | SELECT COUNT(*) FROM farmers WHERE location = 'urban' AND growing_season = 'dry'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Brown_Investment_Group (id INT, sector VARCHAR(20), risk_score INT); INSERT INTO Brown_Investment_Group (id, sector, risk_score) VALUES (1, 'Agriculture', 50), (2, 'Manufacturing', 40); | What is the maximum risk score of Brown Investment Group's portfolio in the agriculture sector? | SELECT MAX(risk_score) FROM Brown_Investment_Group WHERE sector = 'Agriculture'; | gretelai_synthetic_text_to_sql |
CREATE TABLE access_to_justice_grants (id INT, organization_name TEXT, city TEXT, state TEXT, award_year INT, grant_amount INT); | Delete all access to justice grants awarded to organizations in Washington D.C. in 2020. | DELETE FROM access_to_justice_grants WHERE state = 'District of Columbia' AND city = 'Washington' AND award_year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE Flag (flag_id INT PRIMARY KEY, flag_country VARCHAR(255)); INSERT INTO Flag (flag_id, flag_country) VALUES (2, 'Canada'); CREATE TABLE Vessel (vessel_id INT PRIMARY KEY, vessel_name VARCHAR(255), flag_id INT, average_speed DECIMAL(5,2)); CREATE TABLE Region (region_id INT PRIMARY KEY, region_name VARCHAR(2... | What is the average speed of vessels with Canadian flag in the Pacific Ocean? | SELECT AVG(V.average_speed) FROM Vessel V JOIN Flag F ON V.flag_id = F.flag_id JOIN Region R ON V.region_id = R.region_id WHERE F.flag_country = 'Canada' AND R.region_name = 'Pacific Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE emissions (collection VARCHAR(20), co2_emissions INT); INSERT INTO emissions (collection, co2_emissions) VALUES ('Spring 2022', 15000); | What is the total CO2 emissions for the garment manufacturing process in the 'Spring 2022' collection? | SELECT co2_emissions FROM emissions WHERE collection = 'Spring 2022'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Contracts (ID INT, Contractor VARCHAR(255), ContractValue FLOAT); INSERT INTO Contracts VALUES (1, 'ABC Company', 2000000), (2, 'XYZ Corporation', 2500000), (3, 'DEF Industries', 3000000), (4, 'ABC Company', 1800000), (5, 'GHI Services', 1500000); | Who are the top 3 contractors with the highest number of contracts? | SELECT Contractor, COUNT(*) OVER (PARTITION BY Contractor) AS ContractCount, RANK() OVER (PARTITION BY NULL ORDER BY COUNT(*) DESC) AS ContractRank FROM Contracts WHERE ContractValue > 1000000 GROUP BY Contractor HAVING ContractCount = (SELECT MAX(ContractCount) FROM Contracts WHERE Contractor = Contracts.Contractor) F... | gretelai_synthetic_text_to_sql |
CREATE TABLE wastewater_treatment (treatment_id INT, treatment_cost FLOAT, treatment_date DATE); INSERT INTO wastewater_treatment (treatment_id, treatment_cost, treatment_date) VALUES (1, 50.2, '2022-01-01'), (2, 60.3, '2022-01-02'), (3, 70.4, '2022-01-03'); | Delete the wastewater_treatment record with the lowest treatment_cost value. | DELETE FROM wastewater_treatment WHERE treatment_cost = (SELECT MIN(treatment_cost) FROM wastewater_treatment); | gretelai_synthetic_text_to_sql |
CREATE TABLE student_info (student_id INT, name VARCHAR(255)); INSERT INTO student_info (student_id, name) VALUES (1, 'Jane Doe'); INSERT INTO student_info (student_id, name) VALUES (2, 'Jim Smith'); CREATE TABLE student_accommodations (student_id INT, department VARCHAR(255), date DATE); INSERT INTO student_accommodat... | List the names and IDs of students who have received accommodations in both the academic and residential departments. | SELECT s.student_id, s.name FROM student_info s JOIN student_accommodations sa1 ON s.student_id = sa1.student_id JOIN student_accommodations sa2 ON s.student_id = sa2.student_id WHERE sa1.department <> sa2.department AND sa1.department IN ('Academic', 'Residential') GROUP BY s.student_id, s.name HAVING COUNT(DISTINCT s... | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT, country VARCHAR(50), type VARCHAR(50), budget INT); INSERT INTO projects (id, country, type, budget) VALUES (1, 'Argentina', 'Precision Agriculture', 50000), (2, 'Brazil', 'Drip Irrigation', 75000); | What is the total number of agricultural innovation projects and their budgets for each South American country? | SELECT country, COUNT(*), SUM(budget) FROM projects WHERE country IN ('Argentina', 'Brazil', 'Chile', 'Colombia', 'Peru') GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE indigenous_food_systems (id INT, system VARCHAR(255), organizations INT); INSERT INTO indigenous_food_systems (id, system, organizations) VALUES (1, 'Navajo', 30), (2, 'Cherokee', 40), (3, 'Maya', 50), (4, 'Maori', 60); | Which indigenous food systems have the most community-based organizations in the 'indigenous_food_systems' table? | SELECT system, organizations FROM indigenous_food_systems ORDER BY organizations DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, product_category VARCHAR(50), sale_date DATE, region VARCHAR(50), revenue DECIMAL(10, 2)); INSERT INTO sales (id, product_category, sale_date, region, revenue) VALUES (1, 'Electronics', '2022-01-05', 'Southeast', 5000.00), (2, 'Fashion', '2022-03-10', 'Southeast', 6000.00); | What is the highest selling product category in Q1 2022 for the Southeast region? | SELECT product_category, MAX(revenue) FROM sales WHERE sale_date BETWEEN '2022-01-01' AND '2022-03-31' AND region = 'Southeast' GROUP BY product_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID int, EventName varchar(100), EventDate date, VenueName varchar(100)); INSERT INTO Events (EventID, EventName, EventDate, VenueName) VALUES (1, 'Concert A', '2019-01-01', 'Symphony Hall'), (2, 'Concert B', '2019-12-31', 'Symphony Hall'), (3, 'Play X', '2018-12-31', 'Symphony Hall'); | What is the total number of concerts held at Symphony Hall in 2019? | SELECT COUNT(*) FROM Events WHERE VenueName = 'Symphony Hall' AND YEAR(EventDate) = 2019 AND EventName LIKE 'Concert%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE solar_panels (id INT, name VARCHAR(255), efficiency FLOAT); INSERT INTO solar_panels (id, name, efficiency) VALUES (1, 'SolarPanel A', 18.5), (2, 'SolarPanel B', 20.3), (3, 'SolarPanel C', 21.0), (4, 'SolarPanel D', 19.1); | What is the name and efficiency of the solar panel with the highest efficiency in Japan? | SELECT name, MAX(efficiency) FROM solar_panels WHERE country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, name VARCHAR(255), last_active DATE); INSERT INTO employees (id, name, last_active) VALUES (1, 'John Doe', '2016-01-01'), (2, 'Jane Smith', '2021-02-01'), (3, 'Bob Johnson', '2018-05-01'); | Delete all the records in the table of government employees who have not been active for the past 5 years. | DELETE FROM employees WHERE last_active < NOW() - INTERVAL '5 years'; | gretelai_synthetic_text_to_sql |
CREATE TABLE basketball_matches (match_id INT, season INT, tickets_sold INT); INSERT INTO basketball_matches (match_id, season, tickets_sold) VALUES (1, 2018, 35000), (2, 2018, 38000), (3, 2019, 42000); | What is the average number of tickets sold for basketball matches per season? | SELECT AVG(tickets_sold) FROM basketball_matches GROUP BY season; | gretelai_synthetic_text_to_sql |
CREATE TABLE investment_strategies (strategy_id INT, strategy_name VARCHAR(50), customer_id INT); INSERT INTO investment_strategies (strategy_id, strategy_name, customer_id) VALUES (1, 'Conservative', 1), (2, 'Aggressive', 2); CREATE TABLE investment_accounts (account_id INT, customer_id INT, balance DECIMAL(10, 2)); I... | What is the total assets under management for a specific investment strategy? | SELECT SUM(investment_accounts.balance) FROM investment_accounts JOIN investment_strategies ON investment_accounts.customer_id = investment_strategies.customer_id WHERE investment_strategies.strategy_name = 'Conservative'; | gretelai_synthetic_text_to_sql |
CREATE TABLE orders (order_id INT, order_date DATE, region VARCHAR(50)); CREATE TABLE order_details (order_id INT, menu_id INT, quantity_sold INT); CREATE TABLE menu (menu_id INT, menu_name VARCHAR(255), is_spicy BOOLEAN, price DECIMAL(5,2)); INSERT INTO orders (order_id, order_date, region) VALUES (1, '2022-01-01', 'E... | Show the number of spicy menu items sold in the East region. | SELECT SUM(quantity_sold) as total_sold FROM order_details od JOIN menu m ON od.menu_id = m.menu_id WHERE is_spicy = TRUE AND region = 'East'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mars_rovers_temperatures (rover_name TEXT, temperature FLOAT); INSERT INTO mars_rovers_temperatures (rover_name, temperature) VALUES ('Spirit', 20.5), ('Opportunity', 15.2), ('Curiosity', 10.1); | What is the difference in temperature between the hottest and coldest Mars Rovers? | SELECT MAX(temperature) - MIN(temperature) as temperature_difference FROM mars_rovers_temperatures; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health (id INT, student_id INT, program VARCHAR(50), score INT); INSERT INTO mental_health (id, student_id, program, score) VALUES (1, 1001, 'Lifelong Learning', 70), (2, 1002, 'Lifelong Learning', 75), (3, 1003, 'Lifelong Learning', 60), (4, 1004, 'Traditional Program', 80); | What is the minimum mental health score for students in the lifelong learning program? | SELECT MIN(score) as min_score FROM mental_health WHERE program = 'Lifelong Learning'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies(id INT, name TEXT, funding_amount INT); CREATE TABLE Executives(id INT, company_id INT, gender TEXT); INSERT INTO Companies VALUES (1, 'TechCo', 5000000), (2, 'GreenTech', 7000000); INSERT INTO Executives VALUES (1, 1, 'Female'), (2, 1, 'Female'), (3, 1, 'Male'), (4, 2, 'Female'), (5, 2, 'F... | What is the average funding amount for companies with at least 3 female executives? | SELECT AVG(Companies.funding_amount) FROM Companies INNER JOIN (SELECT company_id FROM Executives WHERE gender = 'Female' GROUP BY company_id HAVING COUNT(*) >= 3) AS FemaleExecs ON Companies.id = FemaleExecs.company_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, name VARCHAR(50), department VARCHAR(50), salary FLOAT, employment_status VARCHAR(50), gender VARCHAR(10)); INSERT INTO employees (id, name, department, salary, employment_status, gender) VALUES (1, 'John Doe', 'IT', 75000.0, 'Full-time', 'Male'), (2, 'Jane Smith', 'IT', 80000.0, 'Part-t... | What is the percentage of employees in each department who are female? | SELECT departments.name, (COUNT(CASE WHEN employees.gender = 'Female' THEN 1 END) * 100.0 / COUNT(employees.id)) AS percentage FROM departments INNER JOIN employees ON departments.name = employees.department GROUP BY departments.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, plan_name TEXT); CREATE TABLE broadband_subscribers (subscriber_id INT, plan_name TEXT); | How many unique subscribers have both mobile and broadband plans? | SELECT COUNT(DISTINCT mobile_subscribers.subscriber_id) FROM mobile_subscribers INNER JOIN broadband_subscribers ON mobile_subscribers.subscriber_id = broadband_subscribers.subscriber_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (id INT, name VARCHAR(30)); CREATE TABLE properties (id INT, city VARCHAR(20), green_certified BOOLEAN); INSERT INTO cities (id, name) VALUES (1, 'Seattle'), (2, 'Portland'), (3, 'Vancouver'); INSERT INTO properties (id, city, green_certified) VALUES (101, 'Seattle', true), (102, 'Seattle', false), ... | Find the number of green-certified buildings in each city. | SELECT cities.name, COUNT(properties.id) FROM cities INNER JOIN properties ON cities.name = properties.city WHERE properties.green_certified = true GROUP BY cities.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (id INT, name TEXT, region TEXT, life_expectancy INT); INSERT INTO countries (id, name, region, life_expectancy) VALUES (1, 'Japan', 'Asia', 85); INSERT INTO countries (id, name, region, life_expectancy) VALUES (2, 'India', 'Asia', 69); | What is the life expectancy in each country in the Asian region? | SELECT name, region, life_expectancy FROM countries WHERE region = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_impact (chemical VARCHAR(20), score INT); INSERT INTO environmental_impact (chemical, score) VALUES ('chemical B', 60); INSERT INTO environmental_impact (chemical, score) VALUES ('chemical B', 70); | What is the average environmental impact score for chemical B? | SELECT avg(score) as avg_score FROM environmental_impact WHERE chemical = 'chemical B'; | gretelai_synthetic_text_to_sql |
CREATE TABLE inventory (ingredient VARCHAR(255), quantity INT, organic BOOLEAN); INSERT INTO inventory (ingredient, quantity, organic) VALUES ('Flour', 1000, FALSE), ('Tomatoes', 2000, TRUE), ('Cheese', 3000, FALSE); | What is the inventory level for each organic ingredient used in the menu? | SELECT ingredient, quantity FROM inventory WHERE organic = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE PublicHousing (Ward text, ConstructionDate date); INSERT INTO PublicHousing (Ward, ConstructionDate) VALUES ('Ward1', '2020-01-01'), ('Ward2', '2021-01-01'); | How many public housing units were constructed in each ward for the last 2 years? | SELECT Ward, COUNT(*) as Units, DATE_TRUNC('year', ConstructionDate) as Year FROM PublicHousing WHERE ConstructionDate >= DATEADD(year, -2, CURRENT_DATE) GROUP BY Ward, Year; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, name VARCHAR(50), age INT, gender VARCHAR(10), race VARCHAR(20), ethnicity VARCHAR(30)); INSERT INTO patients (id, name, age, gender, race, ethnicity) VALUES (1, 'John Doe', 35, 'Male', 'Caucasian', 'Non-Hispanic'); | Update an existing patient record in the patients table. | UPDATE patients SET age = 36 WHERE id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (project_id INT, name TEXT, rating FLOAT, country TEXT, implementation_date DATE); INSERT INTO projects (project_id, name, rating, country, implementation_date) VALUES (1, 'Solar Farm', 1.8, 'Germany', '2020-01-01'), (2, 'Wind Turbine', 2.2, 'France', '2019-01-01'), (3, 'Geothermal Plant', 2.0, 'G... | What is the average energy efficiency rating for renewable energy projects implemented in the last two years by country? | SELECT country, AVG(rating) FROM projects WHERE implementation_date >= DATEADD(year, -2, GETDATE()) GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourist_visits (id INT, country TEXT, visit_date DATE); INSERT INTO tourist_visits (id, country, visit_date) VALUES (1, 'Spain', '2022-01-01'); | How many tourists visited Spain in the last year, broken down by month? | SELECT DATE_TRUNC('month', visit_date) AS month, COUNT(*) FROM tourist_visits WHERE country = 'Spain' AND visit_date >= DATEADD(year, -1, CURRENT_DATE) GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE Dispensaries (id INT, name TEXT, state TEXT);CREATE TABLE Sales (id INT, dispensary_id INT, weight DECIMAL, sale_date DATE, product_type TEXT); INSERT INTO Dispensaries (id, name, state) VALUES (1, 'Dispensary A', 'Washington'); INSERT INTO Sales (id, dispensary_id, weight, sale_date, product_type) VALUES ... | What is the total weight of cannabis flower sold by dispensaries in Washington in Q2 2022? | SELECT SUM(s.weight) FROM Dispensaries d INNER JOIN Sales s ON d.id = s.dispensary_id WHERE d.state = 'Washington' AND s.product_type = 'flower' AND s.sale_date BETWEEN '2022-04-01' AND '2022-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Threat_Intelligence ( id INT, threat_type VARCHAR(30), created_date DATE ); INSERT INTO Threat_Intelligence (id, threat_type, created_date) VALUES (1, 'Cyber Threat', '2022-01-01'), (2, 'Physical Threat', '2022-02-01'), (3, 'Cyber Threat', '2022-05-01'); | How many threat intelligence records were created in the last week? | SELECT COUNT(*) FROM Threat_Intelligence WHERE created_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 1 WEEK) AND CURRENT_DATE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Games (GameID INT PRIMARY KEY, GameName VARCHAR(50), GamingCommunity VARCHAR(50)); CREATE TABLE GameSessions (SessionID INT PRIMARY KEY, GameName VARCHAR(50), Playtime MINUTE, FOREIGN KEY (GameName) REFERENCES Games(GameName)); INSERT INTO Games (GameID, GameName, GamingCommunity) VALUES (1, 'WorldOfWarcra... | What is the total playtime (in minutes) for each game in the "PCGamingCommunity"? | SELECT GameName, SUM(Playtime) FROM GameSessions JOIN Games ON GameSessions.GameName = Games.GameName WHERE Games.GamingCommunity = 'PCGamingCommunity' GROUP BY GameName; | gretelai_synthetic_text_to_sql |
CREATE TABLE pollution_levels (location TEXT, pollution_level INTEGER); INSERT INTO pollution_levels (location, pollution_level) VALUES ('Gulf of Mexico', 5000), ('Mariana Trench', 8000), ('Atlantic Ocean', 2000); | Update the pollution_level for 'Mariana Trench' to 9000. | UPDATE pollution_levels SET pollution_level = 9000 WHERE location = 'Mariana Trench'; | gretelai_synthetic_text_to_sql |
CREATE TABLE equipment_maintenance (equipment_type VARCHAR(255), maintenance_cost DECIMAL(10,2), maintenance_incident_date DATE); | List the military equipment types that had the highest maintenance costs per incident in 2020 | SELECT equipment_type, AVG(maintenance_cost) AS avg_cost_per_incident FROM equipment_maintenance WHERE EXTRACT(YEAR FROM maintenance_incident_date) = 2020 GROUP BY equipment_type ORDER BY avg_cost_per_incident DESC | gretelai_synthetic_text_to_sql |
CREATE TABLE shuttle_missions (id INT, shuttle VARCHAR(255), flight_hours INT); INSERT INTO shuttle_missions (id, shuttle, flight_hours) VALUES (1, 'Atlantis', 4848), (2, 'Columbia', 3005); | What is the sum of flight hours for all Space Shuttle missions? | SELECT SUM(flight_hours) FROM shuttle_missions; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists_rio (artist_id INT, name VARCHAR(50), city VARCHAR(50), pieces INT); | Find the number of artists who have created more pieces than the average number of pieces created by artists in Rio de Janeiro. | SELECT COUNT(*) FROM artists_rio WHERE pieces > (SELECT AVG(pieces) FROM artists_rio WHERE city = 'Rio de Janeiro'); | gretelai_synthetic_text_to_sql |
CREATE TABLE educational_institutions (id INT, name VARCHAR(255), type VARCHAR(255), location VARCHAR(255)); INSERT INTO educational_institutions (id, name, type, location) VALUES (1, 'School A', 'Primary School', 'City X'), (2, 'University B', 'University', 'City Y'); CREATE TABLE medical_facilities (id INT, name VARC... | What is the total number of educational institutions and medical facilities in 'disaster_response' database? | SELECT COUNT(*) FROM educational_institutions UNION ALL SELECT COUNT(*) FROM medical_facilities; | gretelai_synthetic_text_to_sql |
CREATE TABLE gym_locations (id INT, location_name VARCHAR(50), state VARCHAR(50), city VARCHAR(50), members INT); | How many members have an active membership in each state? | SELECT state, COUNT(DISTINCT member_name) AS active_members FROM gym_locations JOIN gym_memberships ON gym_locations.location_name = gym_memberships.location WHERE end_date > CURDATE() GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (vessel_id INT, vessel_name VARCHAR(50)); INSERT INTO vessels (vessel_id, vessel_name) VALUES (1, 'Vessel1'), (2, 'Vessel2'), (3, 'Vessel3'); CREATE TABLE port_visits (visit_id INT, vessel_id INT, port_id INT); INSERT INTO port_visits (visit_id, vessel_id, port_id) VALUES (1, 1, 1), (2, 2, 2), (3, ... | List the names of all vessels that have visited port 'NY' | SELECT DISTINCT vessel_name FROM vessels v JOIN port_visits pv ON v.vessel_id = pv.vessel_id WHERE pv.port_id = (SELECT port_id FROM ports WHERE port_name = 'NY'); | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (farmer_id INT, name TEXT, location TEXT, crop_yield INT, year INT); INSERT INTO farmers (farmer_id, name, location, crop_yield, year) VALUES (1, 'John Doe', 'Smithville', 500, 2020); INSERT INTO farmers (farmer_id, name, location, crop_yield, year) VALUES (2, 'Jane Smith', 'Brownfield', 600, 2020)... | What was the average crop yield in 2020 for farmers in the 'rural_development' schema? | SELECT AVG(crop_yield) FROM farmers WHERE year = 2020 AND location LIKE 'rural_development%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE JusticeTechnologyGrants (ID INT, GrantID VARCHAR(20), JusticeDistrict VARCHAR(20), Amount INT, Year INT); INSERT INTO JusticeTechnologyGrants (ID, GrantID, JusticeDistrict, Amount, Year) VALUES (1, 'JTG2015', 'North Valley', 15000, 2015), (2, 'JTG2016', 'South Peak', 20000, 2016), (3, 'JTG2017', 'East Rive... | How many justice technology grants were awarded to organizations in each justice district? | SELECT JusticeDistrict, COUNT(*) FROM JusticeTechnologyGrants GROUP BY JusticeDistrict; | gretelai_synthetic_text_to_sql |
CREATE TABLE Country (name VARCHAR(255), visitor_count INT, accommodation_spend DECIMAL(10,2)); INSERT INTO Country (name, visitor_count, accommodation_spend) VALUES ('Canada', 15000, 85.67), ('France', 20000, 70.54); | What is the average international visitor spending on accommodation per day in Canada and France? | SELECT AVG(accommodation_spend) FROM Country WHERE name IN ('Canada', 'France') | gretelai_synthetic_text_to_sql |
CREATE TABLE crimes (id INT, state VARCHAR(255), year INT, number_of_crimes INT); INSERT INTO crimes (id, state, year, number_of_crimes) VALUES (1, 'Texas', 2020, 150000), (2, 'California', 2020, 200000); | How many crimes were reported in the state of Texas in 2020? | SELECT SUM(number_of_crimes) FROM crimes WHERE state = 'Texas' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE startup (id INT, name TEXT, founding_year INT, founder_gender TEXT); INSERT INTO startup (id, name, founding_year, founder_gender) VALUES (1, 'Acme Inc', 2010, 'Female'); INSERT INTO startup (id, name, founding_year, founder_gender) VALUES (2, 'Beta Corp', 2015, 'Male'); INSERT INTO startup (id, name, foun... | Identify the earliest founding year among startups with at least one female founder | SELECT MIN(founding_year) FROM startup WHERE founder_gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE resources_depleted (operation_id INT, resource VARCHAR(50), quantity_depleted INT); INSERT INTO resources_depleted (operation_id, resource, quantity_depleted) VALUES (1, 'Coal', 1000), (1, 'Iron Ore', 2000), (2, 'Gold', 500), (2, 'Silver', 1000), (3, 'Copper', 1500); | What is the total amount of resources depleted for each mining operation? | SELECT mining_operations.operation_name, SUM(resources_depleted.quantity_depleted) AS total_resources_depleted FROM mining_operations INNER JOIN resources_depleted ON mining_operations.operation_id = resources_depleted.operation_id GROUP BY mining_operations.operation_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage (household_id INT, region VARCHAR(255), usage FLOAT, date DATE); INSERT INTO water_usage (household_id, region, usage, date) VALUES (1, 'Los Angeles', 500, '2022-01-01'); INSERT INTO water_usage (household_id, region, usage, date) VALUES (1, 'Los Angeles', 600, '2022-02-01'); | What is the average monthly water usage per household in the Los Angeles region for the past year? | SELECT AVG(usage) FROM (SELECT usage, DATE_TRUNC('month', date) AS month FROM water_usage WHERE region = 'Los Angeles' AND date >= '2021-01-01' AND date < '2022-01-01' GROUP BY month, usage ORDER BY month) subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE workplaces (id INT, name TEXT, safety_violation BOOLEAN, union_affiliation TEXT); | Insert new records of workplaces, including safety violations and union affiliations. | INSERT INTO workplaces (id, name, safety_violation, union_affiliation) VALUES (5, 'RST Industries', TRUE, 'Union C'), (6, 'UVW Corporation', FALSE, 'Union D'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Media (id INT, title VARCHAR(255), type VARCHAR(255), region VARCHAR(255)); INSERT INTO Media (id, title, type, region) VALUES (1, 'Content1', 'Video', 'North America'), (2, 'Content2', 'Audio', 'Europe'), (3, 'Content3', 'Video', 'Asia'), (4, 'Content4', 'Text', 'Africa'); | What is the distribution of media types by region? | SELECT region, type, COUNT(*) as num_contents FROM Media GROUP BY region, type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Projects (ProjectID INT, ProjectName VARCHAR(50), StartDate DATE, EndDate DATE, Region VARCHAR(50)); INSERT INTO Projects (ProjectID, ProjectName, StartDate, EndDate, Region) VALUES (1, 'Project A', '2022-01-01', '2023-12-31', 'Asia-Pacific'), (2, 'Project B', '2022-03-15', '2024-02-28', 'Europe'), (3, 'Pr... | What are the defense projects with a duration of more than 3 years in the European region? | SELECT ProjectName FROM Projects WHERE DATEDIFF(day, StartDate, EndDate) > 1095 AND Region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (region_id INT, name VARCHAR(20), population INT, population_density FLOAT); INSERT INTO regions (region_id, name, population, population_density) VALUES (1, 'Rural', 10000, 25.0), (2, 'Urban', 50000, 200.0); CREATE TABLE hospitals (hospital_id INT, region_id INT, beds INT); INSERT INTO hospitals (... | What is the correlation between the population density and the number of available hospital beds per capita in rural areas? | SELECT correlation(r.population_density, (h.beds + c.beds) / r.population) FROM regions r JOIN hospitals h ON r.region_id = h.region_id JOIN clinics c ON r.region_id = c.region_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE department_open_pedagogy (department_id INT, project_count INT); | What is the maximum number of open pedagogy projects per department? | SELECT department_id, MAX(project_count) as max_projects FROM department_open_pedagogy; | gretelai_synthetic_text_to_sql |
CREATE TABLE Manufacturing (id INT, garment_type VARCHAR(20), country VARCHAR(20), year INT); INSERT INTO Manufacturing (id, garment_type, country, year) VALUES (1, 'Dress', 'Bangladesh', 2020), (2, 'Shirt', 'Bangladesh', 2020), (3, 'Pant', 'Bangladesh', 2020), (4, 'Dress', 'Bangladesh', 2021); | How many unique garment types were manufactured in Bangladesh in 2020? | SELECT COUNT(DISTINCT garment_type) as unique_garment_types FROM Manufacturing WHERE country = 'Bangladesh' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (attorney_id INT, attorney_state VARCHAR(255)); CREATE TABLE cases (case_id INT, attorney_id INT); | How many cases were handled by attorneys in each state, based on the 'attorney_state' column in the 'attorneys' table? | SELECT a.attorney_state, COUNT(c.case_id) FROM attorneys a INNER JOIN cases c ON a.attorney_id = c.attorney_id GROUP BY a.attorney_state; | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT, date DATE, severity VARCHAR(10), ip VARCHAR(15), country VARCHAR(30)); INSERT INTO vulnerabilities (id, date, severity, ip, country) VALUES (1, '2021-01-01', 'critical', '192.168.1.100', 'Brazil'); | What is the rank of each country based on the number of critical vulnerabilities in the last 60 days? | SELECT country, RANK() OVER (ORDER BY critical_vulnerability_count DESC) as country_rank FROM (SELECT country, COUNT(*) as critical_vulnerability_count FROM vulnerabilities WHERE severity = 'critical' AND date >= (CURRENT_DATE - INTERVAL '60' DAY) GROUP BY country) as subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_sales (id INT, vehicle_type VARCHAR(20), year INT, quantity INT); INSERT INTO autonomous_sales (id, vehicle_type, year, quantity) VALUES (1, 'autonomous', 2019, 2000), (2, 'autonomous', 2020, 3000), (3, 'autonomous', 2021, 5000); | Calculate the total number of autonomous vehicles sold in 2021 | SELECT SUM(quantity) FROM autonomous_sales WHERE vehicle_type = 'autonomous' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (artist_id INT, genre VARCHAR(20)); INSERT INTO artists (artist_id, genre) VALUES (1, 'Latin'), (2, 'Pop'), (3, 'Rock'), (4, 'Jazz'), (5, 'Folk'); CREATE TABLE albums (album_id INT, artist_id INT, release_date DATE); INSERT INTO albums (album_id, artist_id, release_date) VALUES (1, 2, '2021-04-12')... | How many albums were released in total by Pop artists in 2021? | SELECT COUNT(albums.album_id) FROM albums INNER JOIN artists ON albums.artist_id = artists.artist_id WHERE artists.genre = 'Pop' AND albums.release_date BETWEEN '2021-01-01' AND '2021-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE route (route_id INT, route_name VARCHAR(50)); INSERT INTO route (route_id, route_name) VALUES (1, 'Red Line'), (2, 'Green Line'), (3, 'Blue Line'), (4, 'Yellow Line'); CREATE TABLE fare (fare_id INT, route_id INT, fare_amount DECIMAL(5,2), collection_date DATE); INSERT INTO fare (fare_id, route_id, fare_am... | What is the latest fare collection date for 'Yellow Line'? | SELECT MAX(collection_date) FROM fare WHERE route_id = 4; | gretelai_synthetic_text_to_sql |
CREATE TABLE orders (order_id INT, location_id INT, item_id INT, quantity INT, date DATE); CREATE TABLE menu (item_id INT, item_name VARCHAR(50), category VARCHAR(50), cuisine VARCHAR(50), price DECIMAL(5,2)); | List the most popular dish in each cuisine type. | SELECT menu.cuisine, menu.item_name, SUM(orders.quantity) as total_quantity FROM orders JOIN menu ON orders.item_id = menu.item_id GROUP BY menu.cuisine, menu.item_id ORDER BY total_quantity DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE pasture_farms (id INT, farm_name VARCHAR(50), state VARCHAR(20), num_animals INT); INSERT INTO pasture_farms (id, farm_name, state, num_animals) VALUES (1, 'Farm 1', 'Wisconsin', 50), (2, 'Farm 2', 'Wisconsin', 75), (3, 'Farm 3', 'Wisconsin', 100), (4, 'Farm 4', 'Wisconsin', 125), (5, 'Farm 5', 'Wisconsin'... | What is the minimum and maximum number of animals on pasture-based farms in Wisconsin? | SELECT state, MIN(num_animals) as min_animals, MAX(num_animals) as max_animals FROM pasture_farms WHERE state = 'Wisconsin'; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (stadium TEXT, attendance INT); INSERT INTO games (stadium, attendance) VALUES ('Estadio Nacional', 65000), ('Estadio Nacional', 70000), ('Wembley Stadium', 80000); | What is the average attendance for games played at 'Estadio Nacional'? | SELECT AVG(attendance) FROM games WHERE stadium = 'Estadio Nacional'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (id INT, name VARCHAR(255), price DECIMAL(5,2), rating DECIMAL(2,1), is_vegan BOOLEAN); | Find the average rating and price of vegan cosmetics | SELECT AVG(price), AVG(rating) FROM products WHERE is_vegan = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu (menu_id INT, menu_item VARCHAR(30), is_vegetarian BOOLEAN, calorie_count INT); INSERT INTO menu (menu_id, menu_item, is_vegetarian, calorie_count) VALUES (1, 'Vegetable Lasagna', true, 500), (2, 'Beef Burger', false, 800); | What is the total calorie count for vegetarian options? | SELECT SUM(calorie_count) FROM menu WHERE is_vegetarian = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (id INT PRIMARY KEY, name VARCHAR(255));CREATE TABLE accommodations (id INT PRIMARY KEY, name VARCHAR(255), country_id INT, eco_friendly BOOLEAN);CREATE TABLE reviews (id INT PRIMARY KEY, accommodation_id INT, review TEXT, FOREIGN KEY (accommodation_id) REFERENCES accommodations(id)); | What are the names and reviews of eco-friendly accommodations in Canada? | SELECT accommodations.name, reviews.review FROM accommodations JOIN reviews ON accommodations.id = reviews.accommodation_id WHERE accommodations.eco_friendly = true AND accommodations.country_id = (SELECT id FROM countries WHERE name = 'Canada'); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species_status (species TEXT, status TEXT); | How many marine species are threatened with extinction? | SELECT COUNT(*) FROM marine_species_status WHERE status = 'Threatened'; | gretelai_synthetic_text_to_sql |
CREATE TABLE social_media (user_id INT, post_id INT, post_date DATE, likes INT); | What is the maximum number of likes for a single post in the 'social_media' table? | SELECT MAX(likes) FROM social_media; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cost (id INT, is_organic BOOLEAN, category VARCHAR(20), price INT); INSERT INTO Cost (id, is_organic, category, price) VALUES (1, true, 'snack', 4), (2, false, 'snack', 6), (3, true, 'dessert', 5); | What is the minimum price for organic snacks? | SELECT MIN(price) FROM Cost WHERE is_organic = true AND category = 'snack'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (ProgramID INT, ProgramName VARCHAR(50), StartDate DATE); CREATE TABLE Volunteers (VolunteerID INT, ProgramID INT, SignUpDate DATE, Hours DECIMAL(10,2)); INSERT INTO Programs (ProgramID, ProgramName, StartDate) VALUES (1, 'ProgramA', '2023-01-01'), (2, 'ProgramB', '2023-01-01'), (3, 'ProgramC', '2... | What is the average number of volunteer hours per program in 2023, ranked in ascending order? | SELECT p.ProgramName, AVG(v.Hours) AS AvgHoursPerProgram FROM Programs p JOIN Volunteers v ON p.ProgramID = v.ProgramID WHERE YEAR(v.SignUpDate) = 2023 GROUP BY p.ProgramName ORDER BY AvgHoursPerProgram ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE MentalHealthParity (ID INT PRIMARY KEY, State VARCHAR(2), ParityStatus VARCHAR(10)); | Create a table named 'MentalHealthParity' | CREATE TABLE MentalHealthParity (ID INT PRIMARY KEY, State VARCHAR(2), ParityStatus VARCHAR(10)); | gretelai_synthetic_text_to_sql |
CREATE TABLE login_attempts (id INT, user_name VARCHAR(255), success BOOLEAN, login_time TIMESTAMP); INSERT INTO login_attempts (id, user_name, success, login_time) VALUES (1, 'user1', false, '2022-06-01 10:00:00'), (2, 'user2', false, '2022-06-02 11:00:00'); | Calculate the moving average of failed login attempts, for each user, over the last 7 days. | SELECT user_name, AVG(CASE WHEN success = false THEN 1 ELSE 0 END) OVER (PARTITION BY user_name ORDER BY login_time ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) as moving_average FROM login_attempts WHERE login_time >= DATE(NOW()) - INTERVAL '7 days'; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_projects (id INT, project VARCHAR(50), year INT, budget FLOAT); INSERT INTO defense_projects (id, project, year, budget) VALUES (1, 'Project Z', 2019, 1100000), (2, 'Project Z', 2020, 1300000); | What was the budget for defense project Z in 2019 and 2020? | SELECT project, year, budget FROM defense_projects WHERE project = 'Project Z'; | gretelai_synthetic_text_to_sql |
CREATE TABLE garages (garage_id INT, garage_name VARCHAR(255)); INSERT INTO garages (garage_id, garage_name) VALUES (1, 'Bronx'), (2, 'Manhattan'), (3, 'Queens'); CREATE TABLE service (service_id INT, garage_id INT, service_date DATE); INSERT INTO service (service_id, garage_id, service_date) VALUES (1, 1, '2021-12-15'... | How many vehicles were serviced in the Queens garage on February 15th, 2022? | SELECT COUNT(*) FROM service WHERE garage_id = 3 AND service_date = '2022-02-15'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Publications (ID INT, Author VARCHAR(50), Journal VARCHAR(50), Year INT, CitationCount INT); INSERT INTO Publications (ID, Author, Journal, Year, CitationCount) VALUES (1, 'John Doe', 'Journal of Machine Learning', 2021, 50), (2, 'Jane Smith', 'Journal of Mathematics', 2019, 40); | Which author has the most publications in the 'Journal of Machine Learning' in the past three years? | SELECT Author, COUNT(*) AS PublicationCount FROM Publications WHERE Journal = 'Journal of Machine Learning' AND Year >= 2019 GROUP BY Author ORDER BY PublicationCount DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (id INT, city VARCHAR(20)); INSERT INTO hotels (id, city) VALUES (1, 'Tokyo'), (2, 'Osaka'), (3, 'Tokyo'); | How many hotels are there in Tokyo? | SELECT COUNT(*) FROM hotels WHERE city = 'Tokyo'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Geopolitical_Risk_Assessments (country VARCHAR(255), year INT, risk_level INT); INSERT INTO Geopolitical_Risk_Assessments (country, year, risk_level) VALUES ('Egypt', 2022, 3), ('Nigeria', 2022, 5); | Which countries in 'Africa' had geopolitical risk assessments in '2022'? | SELECT DISTINCT country FROM Geopolitical_Risk_Assessments WHERE year = 2022 AND country IN ('Egypt', 'Nigeria', 'South Africa', 'Algeria'); | gretelai_synthetic_text_to_sql |
CREATE TABLE investigative_reports (article_id INT, article_topic VARCHAR(50), investigation_length INT, publication_date DATE); | What is the distribution of article lengths in 'investigative_reports' table? | SELECT investigation_length, COUNT(*) FROM investigative_reports GROUP BY investigation_length; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, sector TEXT, ESG_rating FLOAT, risk_score FLOAT); | Insert a new company into the 'renewable_energy' sector with id 6, ESG rating 8.5 and risk score 2.0 | INSERT INTO companies (id, sector, ESG_rating, risk_score) VALUES (6, 'renewable_energy', 8.5, 2.0); | gretelai_synthetic_text_to_sql |
CREATE TABLE campaigns (campaign_id INT, name TEXT, condition TEXT, start_date DATE, end_date DATE); INSERT INTO campaigns (campaign_id, name, condition, start_date, end_date) VALUES (1, 'Break the Stigma', 'Depression', '2018-01-01', '2018-12-31'); INSERT INTO campaigns (campaign_id, name, condition, start_date, end_d... | List the names and number of campaigns for public awareness campaigns related to depression, ordered by the number of campaigns in descending order. | SELECT name, COUNT(*) as total FROM campaigns WHERE condition = 'Depression' GROUP BY name ORDER BY total DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (attorney_id INT, name VARCHAR(50), city VARCHAR(50)); INSERT INTO attorneys (attorney_id, name, city) VALUES (1, 'Maria Rodriguez', 'Miami'); CREATE TABLE cases (case_id INT, attorney_id INT, outcome VARCHAR(50)); INSERT INTO cases (case_id, attorney_id, outcome) VALUES (1, NULL, 'Settled'), (2,... | Update the outcome of case #3 to 'Under Appeal' if handled by attorney Maria Rodriguez from the city of Miami. | UPDATE cases SET outcome = 'Under Appeal' WHERE case_id = 3 AND attorney_id IN (SELECT attorney_id FROM attorneys WHERE name = 'Maria Rodriguez' AND city = 'Miami'); | gretelai_synthetic_text_to_sql |
CREATE TABLE HumanitarianAssistance (Country VARCHAR(50), Year INT, Amount FLOAT); INSERT INTO HumanitarianAssistance (Country, Year, Amount) VALUES ('USA', 2018, 8112000); | What was the total humanitarian assistance provided by the US in 2018? | SELECT Amount FROM HumanitarianAssistance WHERE Country = 'USA' AND Year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE districts (id INT, name TEXT);CREATE TABLE policing_events (id INT, district_id INT, year INT, type TEXT); | What is the total number of community policing events held in each district in 2021? | SELECT d.name, COUNT(pe.id) FROM districts d JOIN policing_events pe ON d.id = pe.district_id WHERE pe.year = 2021 GROUP BY d.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE PublicHealthPolicies (PolicyID INT, State VARCHAR(20), Year INT, Policy VARCHAR(100)); INSERT INTO PublicHealthPolicies (PolicyID, State, Year, Policy) VALUES (1, 'California', 2020, 'COVID-19 Mask Mandate'); INSERT INTO PublicHealthPolicies (PolicyID, State, Year, Policy) VALUES (2, 'California', 2019, 'F... | How many public health policies were implemented in California in 2020? | SELECT COUNT(*) FROM PublicHealthPolicies WHERE State = 'California' AND Year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE solo_exhibitions (id INT, city VARCHAR(20), year INT, artist_origin VARCHAR(30), num_artworks INT); INSERT INTO solo_exhibitions (id, city, year, artist_origin, num_artworks) VALUES (1, 'Berlin', 2018, 'German', 10), (2, 'Berlin', 2019, 'African diaspora', 15), (3, 'Berlin', 2020, 'German', 12), (4, 'Berli... | What is the minimum number of artworks displayed in solo exhibitions by artists from African diaspora in Berlin in the last 3 years? | SELECT MIN(num_artworks) FROM solo_exhibitions WHERE city = 'Berlin' AND artist_origin = 'African diaspora' AND year BETWEEN 2018 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtistStreams(id INT, artist VARCHAR(20), genre VARCHAR(10), year INT, streams INT); | What is the number of unique artists who have streamed in the "latin" genre for each year? | SELECT year, COUNT(DISTINCT artist) FROM ArtistStreams WHERE genre = 'latin' GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE animal_population (id INT, type VARCHAR(50), animals INT); INSERT INTO animal_population (id, type, animals) VALUES (1, 'Forest', 500), (2, 'Savannah', 750), (3, 'Wetlands', 450); CREATE TABLE education (id INT, type VARCHAR(50), programs INT); INSERT INTO education (id, type, programs) VALUES (1, 'Forest'... | What is the total number of animals in all habitats, and how many community education programs are there in total? | SELECT SUM(animals) as total_animals, SUM(programs) as total_programs FROM animal_population, education; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species_depths (name VARCHAR(255), basin VARCHAR(255), depth FLOAT); INSERT INTO marine_species_depths (name, basin, depth) VALUES ('Species1', 'Atlantic', 123.45), ('Species2', 'Pacific', 567.89), ('Species3', 'Indian', 345.67), ('Species4', 'Atlantic', 789.10); | What is the maximum depth reached by any marine species in the Atlantic basin? | SELECT MAX(depth) as max_depth FROM marine_species_depths WHERE basin = 'Atlantic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_acidification (id INT PRIMARY KEY, location VARCHAR(255), pH DECIMAL(3,2), timestamp TIMESTAMP); INSERT INTO ocean_acidification (id, location, pH, timestamp) VALUES (1, 'Pacific Ocean', 7.8, '2021-08-01 12:00:00'), (2, 'Atlantic Ocean', 8.0, '2021-08-02 15:30:00'); | Create a view for ocean acidification data | CREATE VIEW ocean_acidification_view AS SELECT * FROM ocean_acidification; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouse (id INT, location VARCHAR(50), type VARCHAR(50), quantity INT, weight FLOAT); INSERT INTO Warehouse (id, location, type, quantity, weight) VALUES (1, 'USA', 'non-perishable', 300, 12.5), (2, 'Canada', 'perishable', 250, 11.0), (3, 'France', 'non-perishable', 500, 13.2), (4, 'Germany', 'perishable... | What is the total weight of perishable items in the Sydney warehouse? | SELECT SUM(weight) FROM Warehouse WHERE location = 'Sydney' AND type = 'perishable'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (name VARCHAR(255), tribe VARCHAR(255), crop VARCHAR(255)); INSERT INTO farmers (name, tribe, crop) VALUES ('Kaew Tawee', 'Karen', 'rice'), ('Nongluck Panya', 'Karen', 'corn'), ('Pinit Duangmanee', 'Karen', 'rice'), ('Thippawan Duangmanee', 'Karen', 'rice'), ('Chanin Tawee', 'Karen', 'cassava'); | What is the total number of farmers in the Karen community who grow rice? | SELECT COUNT(*) FROM farmers WHERE tribe = 'Karen' AND crop = 'rice'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_inventory (id INT, make VARCHAR(20), model VARCHAR(20), is_electric BOOLEAN); INSERT INTO vehicle_inventory (id, make, model, is_electric) VALUES (1, 'Tesla', 'Model 3', true), (2, 'Ford', 'Mustang', false), (3, 'Chevrolet', 'Bolt', true); | How many electric vehicles are available in the vehicle_inventory table? | SELECT COUNT(*) FROM vehicle_inventory WHERE is_electric = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE agency (id INT, name VARCHAR(255)); INSERT INTO agency (id, name) VALUES (1, 'Transportation'); INSERT INTO agency (id, name) VALUES (2, 'Education'); CREATE TABLE budget (id INT, agency_id INT, year INT, amount INT); INSERT INTO budget (id, agency_id, year, amount) VALUES (1, 1, 2022, 50000); INSERT INTO ... | What is the total budget allocated to each agency in the year 2022? | SELECT agency.name, SUM(budget.amount) as total_budget FROM agency JOIN budget ON agency.id = budget.agency_id WHERE budget.year = 2022 GROUP BY agency.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Equipment (EquipmentID INT, EquipmentName VARCHAR(100), DeliveryDate DATE); INSERT INTO Equipment (EquipmentID, EquipmentName, DeliveryDate) VALUES (1, 'Tank', '2020-01-01'); INSERT INTO Equipment (EquipmentID, EquipmentName, DeliveryDate) VALUES (2, 'Missile', '2019-07-01'); CREATE TABLE Contracts (Contra... | List all contracts that started after the equipment was delivered | SELECT Equipment.EquipmentName, Contracts.ContractValue, Contracts.StartDate FROM Equipment INNER JOIN Contracts ON Equipment.EquipmentID = Contracts.EquipmentID WHERE Contracts.StartDate > Equipment.DeliveryDate; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (id INT, country VARCHAR(255), element VARCHAR(255), quantity INT, quarter INT, year INT); INSERT INTO production (id, country, element, quantity, quarter, year) VALUES (1, 'China', 'Ytterbium', 400, 1, 2021), (2, 'China', 'Ytterbium', 450, 2, 2021), (3, 'USA', 'Ytterbium', 300, 1, 2021), (4, 'U... | Calculate the percentage of global Ytterbium production for each quarter. | SELECT country, (quantity * 100.0 / world_quantity) as pct FROM production, world_production WHERE element = 'Ytterbium' AND production.element = world_production.element AND production.quarter = world_production.quarter AND production.year = world_production.year GROUP BY country, world_quantity, quarter, year; | gretelai_synthetic_text_to_sql |
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