context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE employees (id INT, salary FLOAT, organization_type VARCHAR(255), location VARCHAR(255)); INSERT INTO employees (id, salary, organization_type, location) VALUES (1, 70000.00, 'social good', 'Africa'), (2, 80000.00, 'tech company', 'Europe'), (3, 60000.00, 'social good', 'Asia'), (4, 90000.00, 'tech company'... | What is the minimum salary of employees working in technology for social good organizations in Africa? | SELECT MIN(salary) FROM employees WHERE organization_type = 'social good' AND location = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Students (StudentID INT, Name VARCHAR(100), Grade INT); CREATE VIEW TopStudents AS SELECT Name, Grade FROM Students WHERE Grade >= 12; | Select 'Name' from 'TopStudents' view | SELECT Name FROM TopStudents; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemicals (id INT, name VARCHAR(255), category VARCHAR(255), co2_emissions FLOAT, region VARCHAR(255)); | What is the maximum CO2 emission level for each chemical category, for chemical manufacturing in Europe? | SELECT category, MAX(co2_emissions) as max_emissions FROM chemicals WHERE region = 'Europe' GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_database (id INT, name VARCHAR(50), type VARCHAR(50), orbit_type VARCHAR(50), country VARCHAR(50), launch_date DATE); | Show the number of satellites in the satellite_database table, grouped by their country, and order by the count in ascending order, only showing the bottom 5 countries | SELECT country, COUNT(*) as satellite_count FROM satellite_database GROUP BY country ORDER BY satellite_count ASC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_lifetimes(id INT, name VARCHAR(255), launch_date DATE, launch_site VARCHAR(255), orbit VARCHAR(255), decommission_date DATE); INSERT INTO satellite_lifetimes VALUES (1, 'Intelsat 507', '1983-03-16', 'Cape Canaveral', 'GEO', '1997-05-22'); INSERT INTO satellite_lifetimes VALUES (2, 'Intelsat 603',... | What is the average lifespan of satellites in Geostationary Orbit (GEO)? | SELECT AVG(DATEDIFF(decommission_date, launch_date)) FROM satellite_lifetimes WHERE orbit = 'GEO'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_ratings (hotel_id INT, sustainability_rating FLOAT); INSERT INTO hotel_ratings (hotel_id, sustainability_rating) VALUES (1, 4.2), (2, 4.5), (3, 4.7), (4, 4.3); | What is the maximum sustainability score for hotels in each city? | SELECT hi.city, MAX(st.sustainability_score) FROM sustainable_tourism st INNER JOIN hotel_info hi ON st.hotel_id = hi.hotel_id GROUP BY hi.city; | gretelai_synthetic_text_to_sql |
CREATE TABLE appliances (id INT, country VARCHAR(255), name VARCHAR(255), energy_efficiency_rating FLOAT); INSERT INTO appliances (id, country, name, energy_efficiency_rating) VALUES (1, 'Japan', 'Appliance A', 3.5), (2, 'Japan', 'Appliance B', 4.2); | What is the maximum energy efficiency rating for appliances in Japan? | SELECT MAX(energy_efficiency_rating) FROM appliances WHERE country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE microfinance_loans (region VARCHAR(50), loan_count INT); INSERT INTO microfinance_loans (region, loan_count) VALUES ('Region 1', 300), ('Region 2', 350), ('Region 3', 400); | What is the number of microfinance loans disbursed for agricultural activities in each region? | SELECT region, loan_count FROM microfinance_loans; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy (id INT, project_name TEXT, location TEXT, installed_capacity FLOAT); INSERT INTO renewable_energy (id, project_name, location, installed_capacity) VALUES (1, 'Solar Farm 1', 'Spain', 20.5), (2, 'Wind Farm 2', 'Germany', 60.3), (3, 'Solar Farm 2', 'Australia', 30.7); | What is the maximum installed capacity for a solar project in the 'renewable_energy' table? | SELECT MAX(installed_capacity) FROM renewable_energy WHERE project_name LIKE '%solar%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (event_id INT, team_id INT, num_fans INT); | What is the maximum number of fans for each team in the 'events' table? | SELECT team_id, MAX(num_fans) FROM events GROUP BY team_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE hydro_plants (id INT, name TEXT, location TEXT, country TEXT, capacity INT, online_date DATE); INSERT INTO hydro_plants (id, name, location, country, capacity, online_date) VALUES (1, 'Grand Coulee Dam', 'Washington, USA', 'USA', 6809, '1942-01-01'), (2, 'Itaipu Dam', 'Parana, Brazil', 'Brazil', 14000, '19... | Identify the oldest hydroelectric power plant in each country. | SELECT location, name FROM hydro_plants WHERE online_date = (SELECT MIN(online_date) FROM hydro_plants AS h2 WHERE h2.country = hydro_plants.country) GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE menus (restaurant VARCHAR(255), item VARCHAR(255), veg BOOLEAN); INSERT INTO menus (restaurant, item, veg) VALUES ('Green Garden', 'salad', 1), ('Green Garden', 'beef burger', 0); | How many vegetarian options exist on the menu at 'Green Garden'? | SELECT COUNT(*) FROM menus WHERE restaurant = 'Green Garden' AND veg = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT, name VARCHAR(50), age INT, location VARCHAR(50)); INSERT INTO farmers (id, name, age, location) VALUES (1, 'Jane Smith', 40, 'Chicago'); INSERT INTO farmers (id, name, age, location) VALUES (2, 'Joe Johnson', 50, 'New York'); CREATE TABLE crops (id INT, name VARCHAR(50), yield INT, farmer_... | What is the total yield of crops for farmers in urban areas? | SELECT SUM(crops.yield) as total_yield FROM crops INNER JOIN farmers ON crops.farmer_id = farmers.id WHERE farmers.location = 'New York' OR farmers.location = 'Chicago'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_development (id INT, initiative_name VARCHAR(255), budget INT); | Delete all records in the 'community_development' table where the budget is greater than or equal to 100000. | DELETE FROM community_development WHERE budget >= 100000; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, age INT, country VARCHAR(50), treatment VARCHAR(50)); INSERT INTO patients (patient_id, age, country, treatment) VALUES (1, 35, 'Canada', 'CBT'), (2, 42, 'Canada', 'Pharmacotherapy'); | What is the average age of patients who have received cognitive behavioral therapy (CBT) treatment in Canada? | SELECT AVG(age) FROM patients WHERE country = 'Canada' AND treatment = 'CBT'; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_tax (id INT PRIMARY KEY, region VARCHAR(50), tax_per_ton FLOAT); INSERT INTO carbon_tax (id, region, tax_per_ton) VALUES (1, 'South Africa', 5.0), (2, 'Morocco', 4.5), (3, 'Egypt', 6.0); | What is the maximum carbon tax per ton in African countries? | SELECT region, MAX(tax_per_ton) FROM carbon_tax WHERE region IN ('South Africa', 'Morocco', 'Egypt'); | gretelai_synthetic_text_to_sql |
CREATE TABLE student_mental_health (student_id INT, school_id INT, mental_health_score INT, date DATE); INSERT INTO student_mental_health (student_id, school_id, mental_health_score, date) VALUES (1, 101, 75, '2022-01-01'); | What is the average mental health score of students per school in the last month? | SELECT school_id, AVG(mental_health_score) as avg_mental_health_score FROM student_mental_health WHERE date >= DATE_SUB(CURRENT_DATE(), INTERVAL 1 MONTH) GROUP BY school_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Military_Equipment_Sales(equipment_id INT, manufacturer VARCHAR(255), purchaser VARCHAR(255), sale_date DATE, quantity INT);INSERT INTO Military_Equipment_Sales(equipment_id, manufacturer, purchaser, sale_date, quantity) VALUES (1, 'Northrop Grumman', 'Saudi Arabia', '2019-11-01', 15), (2, 'Northrop Grumma... | What is the minimum quantity of military equipment sold by Northrop Grumman to Middle Eastern countries in Q4 2019? | SELECT MIN(quantity) FROM Military_Equipment_Sales WHERE manufacturer = 'Northrop Grumman' AND purchaser LIKE 'Middle East%' AND sale_date BETWEEN '2019-10-01' AND '2019-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cybersecurity_incidents (incident_id INT, agency TEXT, region TEXT, incident_date DATE); INSERT INTO cybersecurity_incidents (incident_id, agency, region, incident_date) VALUES (1, 'Ministry of Defense, Singapore', 'Asia-Pacific', '2022-01-01'); | List the number of cybersecurity incidents reported by government agencies in the Asia-Pacific region in the last 12 months, in ascending order. | SELECT COUNT(*) FROM cybersecurity_incidents WHERE region = 'Asia-Pacific' AND incident_date >= DATEADD(year, -1, CURRENT_DATE) ORDER BY COUNT(*) ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Meals (MealID INT, MealName VARCHAR(50), Region VARCHAR(50), Calories INT); INSERT INTO Meals (MealID, MealName, Region, Calories) VALUES (1, 'Spaghetti Bolognese', 'Europe', 650), (2, 'Chicken Tikka Masala', 'Asia', 850); | What is the total calorie count for meals served in each region? | SELECT Region, SUM(Calories) as TotalCalories FROM Meals GROUP BY Region; | gretelai_synthetic_text_to_sql |
CREATE TABLE movement (movement_id INT, warehouse_id VARCHAR(5), arrival_date DATE, departure_date DATE); INSERT INTO movement (movement_id, warehouse_id, arrival_date, departure_date) VALUES (1, 'W001', '2021-01-01', '2021-01-03'), (2, 'W002', '2021-02-10', '2021-02-12'); | What is the earliest arrival date for each warehouse and what is the latest departure date for each warehouse? | SELECT w.name, MIN(m.arrival_date) AS earliest_arrival, MAX(m.departure_date) AS latest_departure FROM movement m INNER JOIN warehouse w ON m.warehouse_id = w.warehouse_id GROUP BY w.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name VARCHAR(255), city VARCHAR(100)); INSERT INTO teams (team_id, team_name, city) VALUES (1, 'Golden State Warriors', 'San Francisco'), (2, 'Los Angeles Lakers', 'Los Angeles'); CREATE TABLE game_attendance (game_id INT, team_id INT, num_fans INT); INSERT INTO game_attendance (ga... | What is the total number of fans who attended games in each city? | SELECT t.city, SUM(ga.num_fans) as total_fans_attended FROM teams t INNER JOIN game_attendance ga ON t.team_id = ga.team_id GROUP BY t.city; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryEquipmentSales (seller VARCHAR(255), buyer VARCHAR(255), equipment VARCHAR(255), sale_value FLOAT, sale_date DATE); INSERT INTO MilitaryEquipmentSales (seller, buyer, equipment, sale_value, sale_date) VALUES ('BAE Systems', 'India', 'Hawk Jet Trainer', 18000000, '2021-08-15'); | Delete all military equipment sales records from the table that do not have a sale value greater than 50,000,000. | DELETE FROM MilitaryEquipmentSales WHERE sale_value < 50000000; | gretelai_synthetic_text_to_sql |
CREATE TABLE utilities (id INT, company_name VARCHAR(50), carbon_offset_tonnes INT, year INT); INSERT INTO utilities (id, company_name, carbon_offset_tonnes, year) VALUES (1, 'Green Power Inc.', 120000, 2020), (2, 'EcoEnergy Ltd.', 150000, 2019), (3, 'Clean Energy Co.', 180000, 2020), (4, 'Renewable Resources Inc.', 90... | What is the maximum carbon offsetting achieved by any utility company in 2020? | SELECT MAX(carbon_offset_tonnes) FROM utilities WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (artwork_id INTEGER, title TEXT, artist_name TEXT, artist_origin TEXT, price FLOAT); INSERT INTO Artworks (artwork_id, title, artist_name, artist_origin, price) VALUES (1, 'Artwork 1', 'Hiroshi', 'Japan', 10000.0), (2, 'Artwork 2', 'Mei', 'China', 12000.0), (3, 'Artwork 3', 'Aamir', 'Pakistan', 80... | What is the most expensive artwork created by an artist from 'Asia'? | SELECT title, price FROM Artworks WHERE artist_origin = 'Asia' AND price = (SELECT MAX(price) FROM Artworks WHERE artist_origin = 'Asia') | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intelligence (id INT, group_name VARCHAR(255), indicator VARCHAR(255)); INSERT INTO threat_intelligence (id, group_name, indicator) VALUES (1, 'APT28', '192.168.0.1'), (2, 'APT28', 'example.com'); | How many threat intelligence indicators are associated with the 'APT28' group? | SELECT COUNT(*) FROM threat_intelligence WHERE group_name = 'APT28'; | gretelai_synthetic_text_to_sql |
CREATE TABLE REVENUE(city VARCHAR(20), revenue DECIMAL(5,2)); INSERT INTO REVENUE(city, revenue) VALUES('Berlin', 1500.00), ('Berlin', 1200.00), ('Rome', 1800.00), ('Rome', 2000.00); | What is the total revenue of sustainable fashion sales in Berlin and Rome? | SELECT SUM(revenue) FROM REVENUE WHERE city IN ('Berlin', 'Rome') AND revenue > 1000.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (name VARCHAR(255), state VARCHAR(255), population DECIMAL(10,2), recycling_rate DECIMAL(5,2)); INSERT INTO cities (name, state, population, recycling_rate) VALUES ('Los Angeles', 'California', 3971883, 76.9), ('New York', 'New York', 8550405, 21.1), ('Chicago', 'Illinois', 2693976, 9.5); | List all cities with a population over 500,000 that have a recycling rate above the national average. | SELECT name FROM cities WHERE population > 500000 AND recycling_rate > (SELECT AVG(recycling_rate) FROM cities); | gretelai_synthetic_text_to_sql |
CREATE TABLE utica_production (well text, date text, production real); INSERT INTO utica_production VALUES ('Well1', '2021-01-01', 1000), ('Well1', '2021-01-02', 1200), ('Well2', '2021-01-01', 2100), ('Well2', '2021-01-02', 1300); | List all the wells in the 'Utica' shale play that produced more than 1500 barrels in a day. | SELECT well FROM utica_production WHERE production > 1500; | gretelai_synthetic_text_to_sql |
CREATE TABLE routes (route_id INT, route_name TEXT);CREATE TABLE fares (fare_id INT, route_id INT, fare_amount DECIMAL, fare_collection_date DATE); INSERT INTO routes (route_id, route_name) VALUES (1, 'Route A'), (2, 'Route B'); INSERT INTO fares (fare_id, route_id, fare_amount, fare_collection_date) VALUES (1, 1, 5.00... | What is the total fare collected from passengers for each route on January 1, 2022? | SELECT r.route_name, SUM(f.fare_amount) as total_fare FROM routes r JOIN fares f ON r.route_id = f.route_id WHERE f.fare_collection_date = '2022-01-01' GROUP BY r.route_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE artist_statements (statement_length INTEGER); INSERT INTO artist_statements (statement_length) VALUES (50), (100), (150); | What is the sum of all statement lengths in the database? | SELECT SUM(statement_length) FROM artist_statements; | gretelai_synthetic_text_to_sql |
CREATE TABLE workplaces (id INT, country VARCHAR(50), num_employees INT, has_lrv BOOLEAN); INSERT INTO workplaces (id, country, num_employees, has_lrv) VALUES (1, 'Germany', 200, true), (2, 'Germany', 150, false), (3, 'Germany', 250, true); | What is the minimum number of employees in a workplace with labor rights violations in Germany? | SELECT MIN(num_employees) FROM workplaces WHERE country = 'Germany' AND has_lrv = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE advertising (campaign_id INT, spend DECIMAL(10,2), impressions INT, start_date DATE, end_date DATE); | Calculate the total ad spend for the advertising table for the last month. | SELECT SUM(spend) as total_spend FROM advertising WHERE start_date <= DATE_SUB(CURDATE(), INTERVAL 1 MONTH) AND end_date >= DATE_SUB(CURDATE(), INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (drug_name TEXT, company TEXT, continent TEXT, sales_amount INT, sale_date DATE); INSERT INTO sales (drug_name, company, continent, sales_amount, sale_date) VALUES ('Paracetamol', 'Medichem', 'Europe', 4000, '2021-01-01'); | Identify the drug with the highest sales amount in 'Europe' for 'Medichem' in 2021. | SELECT drug_name, MAX(sales_amount) FROM sales WHERE company = 'Medichem' AND continent = 'Europe' AND sale_date BETWEEN '2021-01-01' AND '2021-12-31' GROUP BY drug_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_courts (id INT, court_name VARCHAR(255), state VARCHAR(255), year INT, cases_heard INT); INSERT INTO community_courts (id, court_name, state, year, cases_heard) VALUES (1, 'East Los Angeles Community Court', 'California', 2018, 850), (2, 'Midtown Community Court', 'New York', 2019, 905), (3, 'Red... | What is the total number of cases heard by community courts in New York and the corresponding year? | SELECT community_courts.year, SUM(community_courts.cases_heard) AS total_cases_heard FROM community_courts WHERE community_courts.state = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cosmetics_certifications (product_id INT, brand TEXT, is_cruelty_free BOOLEAN, is_vegan BOOLEAN, country TEXT); | What are the top 3 cosmetic brands in the Australian market with the most products certified as cruelty-free and vegan? | SELECT brand, COUNT(*) as num_certified_products FROM cosmetics_certifications WHERE is_cruelty_free = TRUE AND is_vegan = TRUE AND country = 'Australia' GROUP BY brand ORDER BY num_certified_products DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE states (id INT, name VARCHAR(255), voter_turnout INT); INSERT INTO states (id, name, voter_turnout) VALUES (1, 'California', 70), (2, 'Texas', 60), (3, 'Minnesota', 80); | Which states in the United States have the highest voter turnout? | SELECT name FROM states WHERE voter_turnout = (SELECT MAX(voter_turnout) FROM states); | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (id INT, name VARCHAR, region VARCHAR, financial_wellbeing_score INT); INSERT INTO clients (id, name, region, financial_wellbeing_score) VALUES (1, 'Ahmed', 'Southeast', 75), (2, 'Fatima', 'Northeast', 65), (3, 'Zainab', 'Southeast', 85), (4, 'Hassan', 'Midwest', 55); | What is the count of clients with a financial wellbeing score greater than 70, in the Southeast region? | SELECT COUNT(*) FROM clients WHERE region = 'Southeast' AND financial_wellbeing_score > 70; | gretelai_synthetic_text_to_sql |
CREATE TABLE farms (farm_id INT, name VARCHAR(50), location VARCHAR(50)); | Delete the farm with ID 502 | DELETE FROM farms WHERE farm_id = 502; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessel_traffic (id INTEGER, vessel_size INTEGER, year INTEGER, location TEXT); INSERT INTO vessel_traffic (id, vessel_size, year, location) VALUES (1, 150, 2020, 'Indian Ocean'), (2, 250, 2021, 'Indian Ocean'), (3, 350, 2020, 'Pacific Ocean'); | What is the average size of vessels that entered the Indian Ocean in 2020? | SELECT AVG(vessel_size) FROM vessel_traffic WHERE year = 2020 AND location = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, program_id INT, volunteer_name VARCHAR(255), country VARCHAR(255), volunteer_start_date DATE, volunteer_end_date DATE); INSERT INTO volunteers (volunteer_id, program_id, volunteer_name, country, volunteer_start_date, volunteer_end_date) VALUES (1, 1, 'Volunteer1', 'Egypt', '20... | What was the total number of volunteers who participated in community development programs in Egypt in 2018? | SELECT COUNT(*) FROM volunteers WHERE country = 'Egypt' AND YEAR(volunteer_start_date) = 2018 AND YEAR(volunteer_end_date) = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (id INT, name TEXT, city TEXT, attendance INT); INSERT INTO Events (id, name, city, attendance) VALUES (1, 'Art Exhibition', 'New York', 500), (2, 'Theater Performance', 'Los Angeles', 300), (3, 'Music Concert', 'Chicago', 700); | Calculate total attendance at all events | SELECT SUM(attendance) FROM Events; | gretelai_synthetic_text_to_sql |
CREATE TABLE ticket_sales (id INT PRIMARY KEY, game_id INT, number_of_tickets INT, date DATE); | update the ticket sales records for a specific game | UPDATE ticket_sales SET number_of_tickets = 600 WHERE game_id = 123 AND date = '2022-05-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE agencies (id INT PRIMARY KEY, name VARCHAR(255), state VARCHAR(255));CREATE TABLE parks (id INT PRIMARY KEY, name VARCHAR(255), agency_id INT, FOREIGN KEY (agency_id) REFERENCES agencies(id)); INSERT INTO agencies (id, name, state) VALUES (1, 'California Department of Parks and Recreation', 'California'); ... | List all the parks and their respective agencies in the state of California from the 'parks_database' | SELECT parks.name as park_name, agencies.name as agency_name FROM parks INNER JOIN agencies ON parks.agency_id = agencies.id WHERE agencies.state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Shipment (id INT, source_country VARCHAR(255), destination_country VARCHAR(255), items_quantity INT, shipment_date DATE); INSERT INTO Shipment (id, source_country, destination_country, items_quantity, shipment_date) VALUES (1, 'Egypt', 'Nigeria', 100, '2021-06-01'), (2, 'Egypt', 'Nigeria', 200, '2021-05-01... | What are the total items shipped between Egypt and Nigeria, excluding items shipped in June 2021? | SELECT SUM(items_quantity) FROM Shipment WHERE (source_country = 'Egypt' AND destination_country = 'Nigeria') OR (source_country = 'Nigeria' AND destination_country = 'Egypt') AND shipment_date NOT BETWEEN '2021-06-01' AND '2021-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE drug_sales (id INT PRIMARY KEY, drug_name VARCHAR(50), manufacturer VARCHAR(50), sales_qty INT, sales_amount DECIMAL(10,2), sale_year INT); | What are the top 5 manufacturers with the highest sales amounts in 2020? | SELECT manufacturer, SUM(sales_amount) as total_sales FROM drug_sales WHERE sale_year = 2020 GROUP BY manufacturer ORDER BY total_sales DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE missions (mission_id INT, name VARCHAR(100), agency VARCHAR(100), launch_date DATE); INSERT INTO missions (mission_id, name, agency, launch_date) VALUES (1, 'Apollo 11', 'NASA', '1969-07-16'), (2, 'STS-1', 'NASA', '1981-04-12'); | How many space missions has NASA conducted? | SELECT COUNT(*) FROM missions WHERE agency = 'NASA'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biosensors;CREATE TABLE biosensors.development_costs (id INT, company_name VARCHAR(50), country VARCHAR(50), development_cost DECIMAL(10,2));INSERT INTO biosensors.development_costs (id, company_name, country, development_cost) VALUES (1, 'CompanyA', 'UK', 5000000.00), (2, 'CompanyB', 'Canad... | What is the average biosensor technology development cost for companies in the UK? | SELECT AVG(development_cost) FROM biosensors.development_costs WHERE country = 'UK'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT, ArtistName VARCHAR(50));CREATE TABLE Paintings (PaintingID INT, PaintingName VARCHAR(50), ArtistID INT);CREATE TABLE Exhibitions (ExhibitionID INT, ExhibitionCountry VARCHAR(50), PaintingID INT); INSERT INTO Artists VALUES (1, 'Vincent Van Gogh'); INSERT INTO Paintings VALUES (1, 'St... | Which artist's paintings were exhibited the most in Germany? | SELECT ArtistName, COUNT(*) as ExhibitionCount FROM Artists a JOIN Paintings p ON a.ArtistID = p.ArtistID JOIN Exhibitions e ON p.PaintingID = e.PaintingID WHERE e.ExhibitionCountry = 'Germany' GROUP BY ArtistName ORDER BY ExhibitionCount DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sourcing (id INT, material VARCHAR(20), country VARCHAR(20), quantity INT, year INT); INSERT INTO Sourcing (id, material, country, quantity, year) VALUES (1, 'Organic Cotton', 'Bangladesh', 4000, 2021), (2, 'Recycled Polyester', 'Vietnam', 3000, 2021), (3, 'Bamboo Fabric', 'Africa', 2000, 2023), (4, 'Bambo... | What is the total quantity of 'Bamboo Fabric' sourced in 'Africa' and 'South America' in 2023? | SELECT SUM(quantity) FROM Sourcing WHERE material = 'Bamboo Fabric' AND (country = 'Africa' OR country = 'South America') AND year = 2023; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_operations (id INT, mine_name TEXT, location TEXT, material TEXT, quantity INT, date DATE); INSERT INTO mining_operations (id, mine_name, location, material, quantity, date) VALUES (6, 'Coal Haven', 'United States', 'coal', 7000, '2019-01-01'); | Calculate the total amount of coal mined in the United States in 2019 | SELECT SUM(quantity) FROM mining_operations WHERE material = 'coal' AND location = 'United States' AND date = '2019-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_project_timelines (id INT, project_name VARCHAR(255), start_date DATE, end_date DATE); INSERT INTO defense_project_timelines (id, project_name, start_date, end_date) VALUES (1, 'Project A', '2023-01-01', '2023-12-31'), (2, 'Project B', '2022-01-01', '2022-12-31'), (3, 'Project C', '2021-01-01', '20... | What is the total number of defense project timelines in the year 2023? | SELECT COUNT(*) FROM defense_project_timelines WHERE YEAR(start_date) = 2023; | gretelai_synthetic_text_to_sql |
CREATE TABLE product_sales (product VARCHAR(20), sales_count INT); INSERT INTO product_sales (product, sales_count) VALUES ('Software', 10), ('Hardware', 5), ('Consulting', 15); | Which products have a higher sales count than the average sales count? | SELECT product FROM product_sales WHERE sales_count > (SELECT AVG(sales_count) FROM product_sales); | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (worker_id INT, language VARCHAR(10), cultural_competency_training VARCHAR(10)); INSERT INTO community_health_workers (worker_id, language, cultural_competency_training) VALUES (1, 'English', 'Yes'), (2, 'Spanish', 'No'), (3, 'French', 'Yes'), (4, 'English', 'Yes'), (5, 'Spanish', ... | What is the total number of community health workers trained in cultural competency by language spoken? | SELECT language, COUNT(*) FROM community_health_workers WHERE cultural_competency_training = 'Yes' GROUP BY language; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (VolunteerID INT, Name TEXT); INSERT INTO Volunteers (VolunteerID, Name) VALUES (1, 'Alice'), (2, 'Bob'), (3, 'Charlie'); CREATE TABLE VolunteerPrograms (VolunteerID INT, ProgramID INT); INSERT INTO VolunteerPrograms (VolunteerID, ProgramID) VALUES (1, 1), (2, 1), (3, 2); | How many volunteers have signed up for each program? | SELECT Programs.ProgramName, COUNT(VolunteerPrograms.VolunteerID) FROM VolunteerPrograms INNER JOIN Volunteers ON VolunteerPrograms.VolunteerID = Volunteers.VolunteerID INNER JOIN Programs ON VolunteerPrograms.ProgramID = Programs.ProgramID GROUP BY Programs.ProgramName; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_operations (id INT, state VARCHAR(255), num_employees INT); INSERT INTO mining_operations (id, state, num_employees) VALUES (1, 'California', 200), (2, 'Texas', 300), (3, 'New York', 100), (4, 'Florida', 400), (5, 'Illinois', 250), (6, 'Pennsylvania', 350); | What is the total number of employees in mining operations in each state of the USA? | SELECT state, SUM(num_employees) FROM mining_operations GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (PolicyholderID int, Age int, Region varchar(10)); INSERT INTO Policyholders (PolicyholderID, Age, Region) VALUES (1, 35, 'West'); INSERT INTO Policyholders (PolicyholderID, Age, Region) VALUES (2, 45, 'East'); | What is the average age of policyholders who have a car insurance policy in the 'West' region? | SELECT AVG(Age) FROM Policyholders WHERE Region = 'West'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, name TEXT); INSERT INTO volunteers (volunteer_id, name) VALUES (1, 'Aarav'), (2, 'Bella'), (3, 'Charlie'); CREATE TABLE cases (case_id INT, volunteer_id INT, date TEXT, resolved_date TEXT); INSERT INTO cases (case_id, volunteer_id, date, resolved_date) VALUES (1, 1, '2022-01-0... | What is the number of cases resolved by each volunteer in each month? | SELECT volunteers.name, EXTRACT(MONTH FROM cases.date) as month, COUNT(cases.case_id) as cases_per_month FROM volunteers INNER JOIN cases ON volunteers.volunteer_id = cases.volunteer_id WHERE cases.date <= cases.resolved_date GROUP BY volunteers.name, month; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholders (id INT, name TEXT, state TEXT, policy_type TEXT, premium FLOAT); INSERT INTO policyholders (id, name, state, policy_type, premium) VALUES (1, 'John Doe', 'Texas', 'Auto', 1200.00), (2, 'Jane Smith', 'California', 'Home', 2500.00); CREATE TABLE claims (id INT, policyholder_id INT, claim_amoun... | What is the total claim amount for policyholders from Texas? | SELECT SUM(claims.claim_amount) FROM claims JOIN policyholders ON claims.policyholder_id = policyholders.id WHERE policyholders.state = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE collective_bargaining (cb_id SERIAL PRIMARY KEY, union_id VARCHAR(5), topic TEXT, outcome TEXT, date DATE, wages TEXT); | Update the wages column in the collective_bargaining table to 'Hourly' for all records with a union_id of 002 | UPDATE collective_bargaining SET wages = 'Hourly' WHERE union_id = '002'; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage_garment_production (id INT, country VARCHAR(50), water_usage INT); INSERT INTO water_usage_garment_production (id, country, water_usage) VALUES (1, 'China', 5000); INSERT INTO water_usage_garment_production (id, country, water_usage) VALUES (2, 'India', 4000); INSERT INTO water_usage_garment_pr... | List the top 5 countries with the highest water usage in garment production. | SELECT country, water_usage FROM water_usage_garment_production ORDER BY water_usage DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_services (hotel_id INT, hotel_name TEXT, country TEXT, revenue FLOAT, ai_concierge INT); INSERT INTO hotel_services (hotel_id, hotel_name, country, revenue, ai_concierge) VALUES (1, 'Hotel F', 'USA', 500000, 1), (2, 'Hotel G', 'Brazil', 600000, 1), (3, 'Hotel H', 'Mexico', 400000, 0), (4, 'Hotel I', ... | What is the total revenue generated by hotels in the Americas that have adopted AI concierge services in Q3 2022? | SELECT SUM(revenue) FROM hotel_services WHERE country IN ('USA', 'Canada', 'Brazil', 'Mexico') AND ai_concierge = 1 AND quarter = 3 AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name TEXT, type TEXT, cargo_weight_capacity FLOAT); | What is the maximum cargo weight capacity for each vessel type? | SELECT type, MAX(cargo_weight_capacity) FROM vessels GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID int, EventDate date, Attendees int, Country varchar(50)); INSERT INTO Events (EventID, EventDate, Attendees, Country) VALUES (1, '2021-01-01', 100, 'Spain'), (2, '2021-02-01', 150, 'Spain'), (3, '2021-03-01', 250, 'Spain'); | What is the number of events held in Spain that had an attendance of over 200 people? | SELECT COUNT(*) FROM Events WHERE Country = 'Spain' AND Attendees > 200; | gretelai_synthetic_text_to_sql |
CREATE TABLE alert_rules (id INT, rule_name VARCHAR(255)); INSERT INTO alert_rules (id, rule_name) VALUES (1, 'Unusual outbound traffic'), (2, 'Suspicious login'), (3, 'Suspicious user behavior'), (4, 'Malware detection'); CREATE TABLE alerts (id INT, rule_id INT, timestamp DATETIME); INSERT INTO alerts (id, rule_id, t... | How many times has the rule "Suspicious user behavior" been triggered in the last month? | SELECT COUNT(*) FROM alerts WHERE rule_id IN (SELECT id FROM alert_rules WHERE rule_name = 'Suspicious user behavior') AND timestamp >= DATE_SUB(NOW(), INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE departments (id INT, name VARCHAR(50), budget INT); INSERT INTO departments (id, name, budget) VALUES (1, 'Education', 15000000), (2, 'Transportation', 20000000); CREATE TABLE policies (id INT, department_id INT, title VARCHAR(50), evidence_based BOOLEAN); INSERT INTO policies (id, department_id, title, ev... | What is the total number of evidence-based policies created by each department, having a budget greater than $10 million? | SELECT d.name, COUNT(p.id) as total_policies FROM departments d JOIN policies p ON d.id = p.department_id WHERE d.budget > 10000000 AND p.evidence_based = true GROUP BY d.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE state_employees (id INT, first_name VARCHAR(50), last_name VARCHAR(50), salary DECIMAL(10,2)); INSERT INTO state_employees (id, first_name, last_name, salary) VALUES (1, 'Mike', 'Johnson', 50000.00); INSERT INTO state_employees (id, first_name, last_name, salary) VALUES (2, 'Sara', 'Williams', 55000.00); | List the names and salaries of state employees with salaries above the average state employee salary in the 'state_employees' table? | SELECT first_name, last_name, salary FROM state_employees WHERE salary > (SELECT AVG(salary) FROM state_employees); | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, joined_date DATE);CREATE TABLE broadband_subscribers (subscriber_id INT, joined_date DATE); | Identify the overlap between customers who subscribed to both mobile and broadband services in the last year. | SELECT m.subscriber_id FROM mobile_subscribers m WHERE joined_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) INTERSECT SELECT b.subscriber_id FROM broadband_subscribers b WHERE joined_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE port_operations (id INT PRIMARY KEY, cargo_id INT, operation VARCHAR(20)); INSERT INTO port_operations (id, cargo_id, operation) VALUES (1, 101, 'loading'), (2, 102, 'unloading'); | Delete all records from table port_operations with operation as 'unloading' | DELETE FROM port_operations WHERE operation = 'unloading'; | gretelai_synthetic_text_to_sql |
CREATE TABLE AgeGroups (AgeGroupID INT, AgeGroup VARCHAR(10)); INSERT INTO AgeGroups (AgeGroupID, AgeGroup) VALUES (1, '0-10'); INSERT INTO AgeGroups (AgeGroupID, AgeGroup) VALUES (2, '11-20'); INSERT INTO AgeGroups (AgeGroupID, AgeGroup) VALUES (3, '21-30'); INSERT INTO AgeGroups (AgeGroupID, AgeGroup) VALUES (4, '31-... | What is the distribution of players by age group and VR adoption? | SELECT AgeGroups.AgeGroup, AVG(Players.Age), SUM(Players.VR) FROM AgeGroups INNER JOIN Players ON Players.Age BETWEEN AgeGroups.AgeGroupID*10 AND AgeGroups.AgeGroupID*10+9 GROUP BY AgeGroups.AgeGroup; | gretelai_synthetic_text_to_sql |
CREATE TABLE accommodation (accommodation_id INT, accommodation_name TEXT, disability_type TEXT); INSERT INTO accommodation (accommodation_id, accommodation_name, disability_type) VALUES (1, 'Wheelchair Ramp', 'Mobility'); INSERT INTO accommodation (accommodation_id, accommodation_name, disability_type) VALUES (2, 'Bra... | Insert a new record for a disability accommodation named 'Hearing Loops' for 'Visual Impairment' type. | INSERT INTO accommodation (accommodation_name, disability_type) VALUES ('Hearing Loops', 'Visual Impairment'); | gretelai_synthetic_text_to_sql |
CREATE TABLE sectors (sid INT, sector_name VARCHAR(255)); CREATE TABLE criminal_incidents (iid INT, sid INT, incident_type VARCHAR(255)); | How many criminal incidents were reported in each community policing sector? | SELECT s.sector_name, COUNT(i.iid) FROM sectors s INNER JOIN criminal_incidents i ON s.sid = i.sid GROUP BY s.sector_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE EvidenceBasedPolicy (id INT, project_name VARCHAR(50), country VARCHAR(50), start_date DATE, end_date DATE); | How many evidence-based policy making projects were completed in India since 2010? | SELECT COUNT(*) FROM EvidenceBasedPolicy WHERE country = 'India' AND start_date <= '2010-01-01' AND end_date >= '2010-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production_data (well_name VARCHAR(50), location VARCHAR(50), oil_production NUMERIC(10,2), gas_production NUMERIC(10,2), production_date DATE); INSERT INTO production_data (well_name, location, oil_production, gas_production, production_date) VALUES ('Well P', 'North Sea', 1000, 400, '2023-04-01'), ('Well... | Calculate the percentage change in gas production for Well P in the North Sea between the current month and the previous month. | SELECT ((gas_production - LAG(gas_production, 1) OVER (PARTITION BY well_name ORDER BY production_date)) / LAG(gas_production, 1) OVER (PARTITION BY well_name ORDER BY production_date)) * 100 as percentage_change FROM production_data WHERE well_name = 'Well P' AND production_date IN (DATEADD(month, -1, '2023-04-01'), '... | gretelai_synthetic_text_to_sql |
CREATE TABLE project (project_id INT, name VARCHAR(50), location VARCHAR(50), success_rate FLOAT); CREATE TABLE country (country_id INT, name VARCHAR(50), description TEXT); CREATE TABLE location (location_id INT, name VARCHAR(50), country_id INT); | What is the success rate of agricultural innovation projects in each country? | SELECT l.name, AVG(p.success_rate) FROM project p JOIN location l ON p.location = l.name JOIN country c ON l.country_id = c.country_id GROUP BY l.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE cargo_operations (id INT PRIMARY KEY, vessel_id INT, port_id INT, cargo_type VARCHAR(255), quantity INT, time_stamp DATETIME); | Delete a specific cargo handling operation from the "cargo_operations" table | DELETE FROM cargo_operations WHERE id = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (VesselID INT, VoyageID INT, AvgSpeed DECIMAL(5,2));CREATE TABLE Voyages (VoyageID INT, Destination VARCHAR(50), TravelDate DATE); INSERT INTO Vessels VALUES (1, 101, 14.5), (2, 102, 16.2), (3, 103, 15.6); INSERT INTO Voyages VALUES (101, 'Port of Oakland', '2022-01-05'), (102, 'Port of Los Angeles... | What is the average speed of all vessels that traveled to the Port of Oakland in the past month? | SELECT AVG(AvgSpeed) FROM Vessels JOIN Voyages ON Vessels.VoyageID = Voyages.VoyageID WHERE Destination = 'Port of Oakland' AND TravelDate >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE InterpretationServices (service_id INT, hours_per_week INT, accommodation_type VARCHAR(255)); | What is the minimum number of hours of sign language interpretation provided in a week? | SELECT MIN(hours_per_week) FROM InterpretationServices WHERE accommodation_type = 'Sign Language'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Hotels (hotel_id INT, hotel_name VARCHAR(50), city VARCHAR(50)); CREATE TABLE VirtualTours (tour_id INT, hotel_id INT, tour_name VARCHAR(50)); INSERT INTO Hotels (hotel_id, hotel_name, city) VALUES (1, 'Hotel1', 'CityA'), (2, 'Hotel2', 'CityB'); INSERT INTO VirtualTours (tour_id, hotel_id) VALUES (1, 1), (... | Which cities have the most virtual tours in their hotels? | SELECT h.city, COUNT(DISTINCT vt.hotel_id) as num_tours FROM Hotels h JOIN VirtualTours vt ON h.hotel_id = vt.hotel_id GROUP BY h.city; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (ProgramID int, Name varchar(50), Location varchar(50)); CREATE TABLE Volunteers (VolunteerID int, Name varchar(50), ProgramID int, VolunteerDate date, Hours decimal(10,2)); INSERT INTO Programs (ProgramID, Name, Location) VALUES (1, 'Feeding America', 'USA'), (2, 'Habitat for Humanity', 'Canada')... | List the total number of volunteer hours for each program, broken down by month and year. | SELECT P.Name, DATE_FORMAT(V.VolunteerDate, '%Y-%m') as Date, SUM(V.Hours) as TotalHours FROM Programs P JOIN Volunteers V ON P.ProgramID = V.ProgramID GROUP BY P.ProgramID, Date; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessel_safety ( vessel_name VARCHAR(255), last_inspection_date DATE, last_inspection_grade CHAR(1)); | Update the vessel_safety table and set the last_inspection_grade as 'B' for vessel "Freedom's Sail" if it's not already set | UPDATE vessel_safety SET last_inspection_grade = 'B' WHERE vessel_name = 'Freedom''s Sail' AND last_inspection_grade IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE VaccinationData (Country VARCHAR(50), Population INT, MeaslesVaccinated INT); INSERT INTO VaccinationData (Country, Population, MeaslesVaccinated) VALUES ('Canada', 38000000, 34560000), ('USA', 331000000, 301200000); | What is the percentage of the population that is vaccinated against measles in each country? | SELECT Country, (MeaslesVaccinated / Population) * 100 AS PercentVaccinated FROM VaccinationData; | gretelai_synthetic_text_to_sql |
CREATE TABLE album_release (id INT, title TEXT, release_month INT, release_year INT, artist TEXT); INSERT INTO album_release (id, title, release_month, release_year, artist) VALUES (1, 'Album1', 1, 2021, 'Artist1'); INSERT INTO album_release (id, title, release_month, release_year, artist) VALUES (2, 'Album2', 3, 2021,... | How many albums were released per month in 2021? | SELECT release_month, COUNT(*) as albums_released FROM album_release WHERE release_year = 2021 GROUP BY release_month; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (PolicyID INT, Name VARCHAR(50)); CREATE TABLE Claims (ClaimID INT, PolicyID INT, State VARCHAR(20)); INSERT INTO Policyholders VALUES (1, 'John Smith'), (2, 'Jane Doe'), (3, 'Mike Brown'); INSERT INTO Claims VALUES (1, 1, 'California'), (2, 2, 'Texas'); | Which policyholders have no claims in Florida? | SELECT p.Name FROM Policyholders p LEFT JOIN Claims c ON p.PolicyID = c.PolicyID WHERE c.PolicyID IS NULL AND State = 'Florida'; | gretelai_synthetic_text_to_sql |
CREATE TABLE crop_comparison (farmer VARCHAR(50), crop VARCHAR(50), yield INT); INSERT INTO crop_comparison (farmer, crop, yield) VALUES ('FarmerA', 'corn', 100), ('FarmerA', 'wheat', 80), ('FarmerB', 'corn', 110), ('FarmerB', 'wheat', 90), ('FarmerC', 'corn', 95), ('FarmerC', 'wheat', 75); | Which crop has the highest yield in 'crop_comparison' table? | SELECT crop, MAX(yield) as highest_yield FROM crop_comparison GROUP BY crop; | gretelai_synthetic_text_to_sql |
CREATE TABLE portfolios (portfolio_id INT, customer_id INT, num_investments INT, num_shariah_compliant_investments INT);CREATE VIEW shariah_compliant_portfolios AS SELECT * FROM portfolios WHERE num_shariah_compliant_investments > 0; | What is the percentage of Shariah-compliant investments in each investment portfolio? | SELECT p.portfolio_id, (COUNT(scp.portfolio_id) * 100.0 / (SELECT COUNT(*) FROM shariah_compliant_portfolios)) as pct_shariah_compliant_investments FROM portfolios p LEFT JOIN shariah_compliant_portfolios scp ON p.portfolio_id = scp.portfolio_id GROUP BY p.portfolio_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT, name VARCHAR(255), industry VARCHAR(255), salary DECIMAL(10,2)); CREATE TABLE unions (id INT, worker_id INT, union VARCHAR(255)); INSERT INTO workers (id, name, industry, salary) VALUES (1, 'Isabella Rodriguez', 'manufacturing', 90000.00); | What is the maximum salary of workers in the 'manufacturing' industry who are not part of a union? | SELECT MAX(workers.salary) FROM workers LEFT OUTER JOIN unions ON workers.id = unions.worker_id WHERE workers.industry = 'manufacturing' AND unions.union IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE products_ingredients(product_id INT, ingredient_id INT, natural_ingredient BOOLEAN, price DECIMAL); INSERT INTO products_ingredients(product_id, ingredient_id, natural_ingredient, price) VALUES (1, 1, true, 1.25), (2, 2, true, 3.00), (3, 3, false, 1.50), (4, 4, true, 2.00), (5, 5, true, 2.50); CREATE TABLE... | What is the total price of natural ingredients for products launched in 2022? | SELECT SUM(price) FROM products_ingredients p_i JOIN products p ON p_i.product_id = p.id WHERE natural_ingredient = true AND p.launch_year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE financial_institutions (institution_id INT, institution_name TEXT); INSERT INTO financial_institutions (institution_id, institution_name) VALUES (1, 'Islamic Bank'), (2, 'Al Baraka Bank'), (3, 'Islamic Finance House'); CREATE TABLE loans (loan_id INT, institution_id INT, loan_type TEXT, amount FLOAT); INSE... | What is the total amount of Shariah-compliant loans issued by each financial institution? | SELECT institution_id, SUM(amount) FROM loans WHERE loan_type = 'Shariah-compliant' GROUP BY institution_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (country TEXT, year INT); INSERT INTO space_missions (country, year) VALUES ('USA', 2015), ('USA', 2015), ('USA', 2016), ('Russia', 2015), ('Russia', 2016), ('China', 2016), ('China', 2017), ('India', 2017), ('India', 2018); | What is the total number of space missions launched by each country and year? | SELECT country, year, COUNT(*) FROM space_missions GROUP BY country, year; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholders (id INT, region VARCHAR(10), claim_amount INT); INSERT INTO policyholders (id, region, claim_amount) VALUES (1, 'east', 5000), (2, 'west', 3000), (3, 'east', 1000); | What is the average claim amount for policyholders living in the 'east' region? | SELECT AVG(claim_amount) FROM policyholders WHERE region = 'east'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Members (MemberID INT, JoinDate DATE); INSERT INTO Members (MemberID, JoinDate) VALUES (1, '2022-04-05'), (2, '2022-03-12'), (3, '2022-06-20'), (4, '2022-05-01'); | How many members joined in Q2 2022? | SELECT COUNT(*) FROM Members WHERE JoinDate BETWEEN '2022-04-01' AND '2022-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy_projects (id INT, name TEXT, state TEXT, capacity_mw FLOAT); INSERT INTO renewable_energy_projects (id, name, state, capacity_mw) VALUES (1, 'Solar Star', 'California', 579.0), (2, 'Desert Sunlight Solar Farm', 'California', 550.0); | What is the total installed capacity (in MW) of all renewable energy projects in the state 'California'? | SELECT SUM(capacity_mw) FROM renewable_energy_projects WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE arctic_resources (id INT, resource VARCHAR(50), type VARCHAR(20)); INSERT INTO arctic_resources (id, resource, type) VALUES (1, 'oil', 'drilling'), (2, 'whale', 'hunting'), (3, 'seal', 'hunting'); | Delete the arctic_resources table. | DROP TABLE arctic_resources; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases_by_state (state VARCHAR(20), year INT, num_cases INT); INSERT INTO cases_by_state (state, year, num_cases) VALUES ('California', 2021, 1200), ('New York', 2021, 2500), ('Texas', 2021, 1800); | How many cases were heard in each state last year? | SELECT state, SUM(num_cases) as total_cases FROM cases_by_state WHERE year = 2021 GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_innovation (id INT, country VARCHAR(50), spending DECIMAL(10,2), year INT); INSERT INTO military_innovation (id, country, spending, year) VALUES (1, 'USA', 15000000.00, 2020); INSERT INTO military_innovation (id, country, spending, year) VALUES (2, 'China', 12000000.00, 2020); INSERT INTO military... | What is the average spending on military innovation by the top 3 countries in 2020? | SELECT AVG(spending) as avg_spending FROM (SELECT spending FROM military_innovation WHERE country IN ('USA', 'China', 'Russia') AND year = 2020 ORDER BY spending DESC LIMIT 3) as top_three; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_floor_map (map_id INT, map_name VARCHAR(50), region VARCHAR(50), site_depth INT); | What is the minimum depth of the ocean floor in the Atlantic region? | SELECT MIN(site_depth) FROM ocean_floor_map WHERE region = 'Atlantic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects_by_quarter (id INT, project_name VARCHAR(255), completion_quarter INT, completion_year INT); INSERT INTO projects_by_quarter (id, project_name, completion_quarter, completion_year) VALUES (1, 'Highway Expansion', 3, 2021), (2, 'Water Treatment Plant Upgrade', 4, 2021); | How many public works projects were completed in each quarter of the last 2 years? | SELECT completion_quarter, completion_year, COUNT(*) as num_projects FROM projects_by_quarter WHERE completion_year >= YEAR(DATEADD(year, -2, GETDATE())) GROUP BY completion_quarter, completion_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE attacks (id INT, type VARCHAR(255), result VARCHAR(255), sector VARCHAR(255), date DATE); INSERT INTO attacks (id, type, result, sector, date) VALUES (1, 'phishing', 'unsuccessful', 'financial', '2022-01-01'); INSERT INTO attacks (id, type, result, sector, date) VALUES (2, 'ransomware', 'successful', 'heal... | Determine the number of successful ransomware attacks in the healthcare sector in the first quarter of 2022. | SELECT COUNT(*) FROM attacks WHERE type = 'ransomware' AND result = 'successful' AND sector = 'healthcare' AND date >= '2022-01-01' AND date < '2022-04-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE region_sales (id INT, region VARCHAR(20), vehicle_type VARCHAR(20), year INT, quantity INT); INSERT INTO region_sales (id, region, vehicle_type, year, quantity) VALUES (1, 'North', 'ev', 2018, 1500), (2, 'North', 'ev', 2019, 2500), (3, 'North', 'autonomous', 2018, 800), (4, 'North', 'autonomous', 2019, 150... | Show the number of electric and autonomous vehicles sold in each region in 2019 | SELECT region, year, SUM(quantity) FROM region_sales WHERE vehicle_type IN ('ev', 'autonomous') AND year = 2019 GROUP BY region, year; | gretelai_synthetic_text_to_sql |
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