context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE budget (state VARCHAR(20), service VARCHAR(20), amount INT); INSERT INTO budget (state, service, amount) VALUES ('California', 'Education', 50000), ('California', 'Healthcare', 70000); | What is the total budget allocated for education and healthcare services in the state of 'California'? | SELECT SUM(amount) FROM budget WHERE state = 'California' AND service IN ('Education', 'Healthcare'); | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (factory_id INT, name VARCHAR(100), location VARCHAR(100), production_output INT); CREATE TABLE employees (employee_id INT, factory_id INT, name VARCHAR(100), position VARCHAR(100), salary INT); INSERT INTO factories (factory_id, name, location, production_output) VALUES (1, 'ABC Factory', 'New Y... | What is the minimum salary of employees in factories with a production output above a certain threshold? | SELECT MIN(employees.salary) FROM factories INNER JOIN employees ON factories.factory_id = employees.factory_id WHERE factories.production_output > 5000; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups(id INT, name TEXT, industry TEXT, founder_ability TEXT, funding FLOAT); INSERT INTO startups (id, name, industry, founder_ability, funding) VALUES (1, 'FinanceAbility', 'Finance', 'Disabled', 2000000); | What is the minimum funding received by a startup founded by a person with a disability in the finance sector? | SELECT MIN(funding) FROM startups WHERE industry = 'Finance' AND founder_ability = 'Disabled'; | gretelai_synthetic_text_to_sql |
CREATE TABLE bike_rentals (location VARCHAR(20), day_of_week VARCHAR(10), bikes_rented INT); INSERT INTO bike_rentals (location, day_of_week, bikes_rented) VALUES ('park1', 'Saturday', 15), ('park1', 'Sunday', 20), ('park2', 'Friday', 10), ('park2', 'Saturday', 12), ('park2', 'Sunday', 18); | What is the maximum number of bikes rented in 'park1' and 'park2' on weekends? | SELECT MAX(bikes_rented) FROM bike_rentals WHERE location IN ('park1', 'park2') AND day_of_week IN ('Saturday', 'Sunday'); | gretelai_synthetic_text_to_sql |
CREATE TABLE community_policing (cp_id INT, did INT, meetings_this_year INT); INSERT INTO community_policing (cp_id, did, meetings_this_year) VALUES (1, 1, 5), (2, 2, 3), (3, 3, 7); | Delete records of community meetings that took place in 'Downtown' district | DELETE FROM community_policing WHERE did = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (id INT, name TEXT); CREATE TABLE manufacturers (id INT, name TEXT, country_id INT, carbon_footprint INT); INSERT INTO countries (id, name) VALUES (1, 'Country 1'), (2, 'Country 2'), (3, 'Country 3'); INSERT INTO manufacturers (id, name, country_id, carbon_footprint) VALUES (1, 'Manufacturer 1', ... | What is the average carbon footprint of products manufactured in each country? | SELECT countries.name, AVG(manufacturers.carbon_footprint) FROM countries INNER JOIN manufacturers ON countries.id = manufacturers.country_id GROUP BY countries.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (product_type VARCHAR(20), region VARCHAR(10), revenue NUMERIC(10,2)); INSERT INTO sales (product_type, region, revenue) VALUES ('cleanser', 'West', 700), ('toner', 'East', 800), ('serum', 'West', 900), ('moisturizer', 'North', 600), ('sunscreen', 'South', 500), ('cleanser', 'South', 400), ('toner', ... | Calculate the revenue of organic skincare products sold in the West region | SELECT SUM(revenue) FROM sales INNER JOIN products ON sales.product_type = products.product_type WHERE products.organic = TRUE AND sales.region = 'West' AND sales.product_type = 'skincare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE member_hr (member_id INT, resting_heart_rate INT); INSERT INTO member_hr (member_id, resting_heart_rate) VALUES (1, 75), (2, 58), (3, 65), (4, 59), (5, 72); | Which members have a resting heart rate below 60? | SELECT member_id FROM member_hr WHERE resting_heart_rate < 60; | gretelai_synthetic_text_to_sql |
CREATE TABLE Satellites (Satellite_ID INT, Satellite_Name VARCHAR(50), Agency VARCHAR(50), Launch_Date DATETIME); INSERT INTO Satellites (Satellite_ID, Satellite_Name, Agency, Launch_Date) VALUES (1, 'Cartosat-1', 'ISRO', '2005-05-05'), (2, 'SPOT-5', 'CNES', '2002-05-03'); | What are the names and launch dates of satellites launched by ISRO or CNES before 2010? | SELECT Satellite_Name, Launch_Date FROM Satellites WHERE Agency IN ('ISRO', 'CNES') AND Launch_Date < '2010-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE DefenseProjects (project_id INT, project_name VARCHAR(50), start_date DATE, end_date DATE, negotiation_status VARCHAR(50), geopolitical_risk_score INT); INSERT INTO DefenseProjects (project_id, project_name, start_date, end_date, negotiation_status, geopolitical_risk_score) VALUES (1, 'Project A', '2019-01... | List the defense projects and their respective start and end dates, along with the contract negotiation status, that have a geopolitical risk score above 7, ordered by the geopolitical risk score in descending order. | SELECT project_name, start_date, end_date, negotiation_status, geopolitical_risk_score FROM DefenseProjects WHERE geopolitical_risk_score > 7 ORDER BY geopolitical_risk_score DESC; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA RuralHealth; USE RuralHealth; CREATE TABLE States (StateName VARCHAR(50), StateAbbreviation VARCHAR(10)); CREATE TABLE Communities (CommunityID INT, CommunityName VARCHAR(50), StateAbbreviation VARCHAR(10), Rural BOOLEAN, AverageLifeExpectancy FLOAT); INSERT INTO States (StateName, StateAbbreviation) VALU... | What is the average life expectancy for residents in rural communities in each state, ordered from highest to lowest? | SELECT StateAbbreviation, AVG(AverageLifeExpectancy) as AvgLifeExpectancy FROM Communities WHERE Rural = TRUE GROUP BY StateAbbreviation ORDER BY AvgLifeExpectancy DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessel_Performance (Vessel_ID INT, Speed FLOAT, Region VARCHAR(255)); INSERT INTO Vessel_Performance (Vessel_ID, Speed, Region) VALUES (1, 14.5, 'Pacific'), (2, 10.2, 'Atlantic'), (3, 13.1, 'Pacific'), (4, 11.9, 'Atlantic'), (5, 9.8, 'Indian'), (6, 15.2, 'Pacific'), (7, 12.3, 'Arctic'); | List regions with average vessel speed above 12 knots. | SELECT Region FROM Vessel_Performance WHERE Speed > 12 GROUP BY Region HAVING AVG(Speed) > 12; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(50), favorite_genre VARCHAR(50)); INSERT INTO users (id, name, favorite_genre) VALUES (1, 'Alice', 'Pop'), (2, 'Bob', 'Rock'), (3, 'Charlie', 'Rock'), (4, 'David', 'Jazz'), (5, 'Eve', 'Pop'), (6, 'Frank', 'Country'), (7, 'Grace', 'Country'), (8, 'Harry', 'R&B'), (9, 'Ivy', 'Pop'... | What is the number of users who favor each genre? | SELECT favorite_genre, COUNT(*) as genre_count FROM users GROUP BY favorite_genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE Movies (id INT, title VARCHAR(100), rating FLOAT, production_country VARCHAR(50), release_year INT); INSERT INTO Movies (id, title, rating, production_country, release_year) VALUES (1, 'Movie1', 7.5, 'India', 2016), (2, 'Movie2', 8.2, 'India', 2018), (3, 'Movie3', 6.8, 'India', 2017), (4, 'Movie4', 5.0, 'I... | What is the minimum rating of movies produced in India and released after 2015? | SELECT MIN(rating) FROM Movies WHERE production_country = 'India' AND release_year > 2015; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (factory_id INT, name TEXT, location TEXT); INSERT INTO factories (factory_id, name, location) VALUES (1, 'Factory A', 'New York'), (2, 'Factory B', 'Texas'), (3, 'Factory C', 'Florida'); CREATE TABLE productions (factory_id INT, chemical TEXT); INSERT INTO productions (factory_id, chemical) VALU... | What are the names and locations of factories that produce Chemical G? | SELECT f.name, f.location FROM factories f JOIN productions p ON f.factory_id = p.factory_id WHERE p.chemical = 'Chemical G'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ghana_population (id INT, city VARCHAR(50), population INT, year INT); INSERT INTO ghana_population (id, city, population, year) VALUES (1, 'Accra', 2500000, 2019); INSERT INTO ghana_population (id, city, population, year) VALUES (2, 'Kumasi', 2000000, 2019); CREATE TABLE ghana_water_consumption (id INT, c... | What is the average water consumption per capita in the cities of Accra and Kumasi for the year 2019? | SELECT AVG(gwc.water_consumption / gp.population) FROM ghana_water_consumption gwc INNER JOIN ghana_population gp ON gwc.city = gp.city WHERE gwc.year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE trip_segments (segment_id INT, route_id INT, fare DECIMAL(5,2), passenger_count INT); INSERT INTO trip_segments (segment_id, route_id, fare, passenger_count) VALUES (1, 101, 2.50, 1000), (2, 101, 2.00, 1200), (3, 102, 3.00, 800), (4, 103, 1.50, 1500), (5, 104, 4.00, 600); | What is the average fare per trip segment for the top 10 most frequently traveled segments? | SELECT AVG(fare) FROM (SELECT fare, ROW_NUMBER() OVER (ORDER BY passenger_count DESC) rn FROM trip_segments) t WHERE rn <= 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cases (CaseID int, AttorneyID int, DurationDays int); INSERT INTO Cases (CaseID, AttorneyID, DurationDays) VALUES (1, 1, 45), (2, 2, 20), (3, 3, 32); CREATE TABLE CaseBilling (CaseID int, BillingAmount decimal(10,2)); INSERT INTO CaseBilling (CaseID, BillingAmount) VALUES (1, 4500.00), (2, 2000.00), (3, 32... | What is the total billing amount for cases with a duration of less than or equal to 30 days? | SELECT SUM(BillingAmount) AS TotalBillingAmount FROM CaseBilling JOIN Cases ON CaseBilling.CaseID = Cases.CaseID WHERE DurationDays <= 30; | gretelai_synthetic_text_to_sql |
CREATE TABLE gold_mines (region VARCHAR(50), tons FLOAT, date DATE); INSERT INTO gold_mines (region, tons, date) VALUES ('North', 120, '2021-07-01'), ('South', 150, '2021-07-01'), ('East', 90, '2021-07-01'), ('West', 130, '2021-08-01'), ('Central', 160, '2021-08-01'), ('North', 100, '2021-08-01'), ('South', 140, '2021-... | What are the total tons of gold mined by region in Q3 2021? | SELECT region, SUM(tons) as total_tons FROM gold_mines WHERE YEAR(date) = 2021 AND QUARTER(date) = 3 GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_stats (id INT PRIMARY KEY, country VARCHAR(255), destination VARCHAR(255), duration INT); INSERT INTO tourism_stats (id, country, destination, duration) VALUES (1, 'Germany', 'Japan', 10); | What is the average trip duration in days for German tourists visiting Japan? | SELECT AVG(duration) FROM tourism_stats WHERE country = 'Germany' AND destination = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE WasteGenerators (GeneratorID INT, GeneratorType VARCHAR(50), WasteType VARCHAR(50), WasteQuantity FLOAT, Location VARCHAR(50)); INSERT INTO WasteGenerators (GeneratorID, GeneratorType, WasteType, WasteQuantity, Location) VALUES (2, 'Educational Institution', 'Paper Waste', 500, 'San Francisco'); | What is the average waste quantity for paper generated by educational institutions? | SELECT GeneratorType, AVG(WasteQuantity) as AvgWasteQuantity FROM WasteGenerators WHERE WasteType = 'Paper Waste' AND GeneratorType = 'Educational Institution' GROUP BY GeneratorType; | gretelai_synthetic_text_to_sql |
CREATE TABLE budgets (id INT, category VARCHAR(255), amount INT); INSERT INTO budgets (id, category, amount) VALUES (1, 'Habitat Restoration', 30000), (2, 'Habitat Maintenance', 20000), (3, 'Community Education', 25000); | Calculate the total budget for community education programs | SELECT SUM(amount) as total_budget FROM budgets WHERE category = 'Community Education'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production_lines (line_id INT, line_name VARCHAR(50), country VARCHAR(50), environmental_impact_score DECIMAL(5,2)); INSERT INTO production_lines (line_id, line_name, country, environmental_impact_score) VALUES (1, 'Line A', 'Germany', 75.2), (2, 'Line B', 'Germany', 82.5), (3, 'Line C', 'USA', 60.0); | What is the average environmental impact score for production lines in Germany? | SELECT AVG(environmental_impact_score) FROM production_lines WHERE country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, subscriber_type VARCHAR(10), state VARCHAR(20)); INSERT INTO mobile_subscribers (subscriber_id, subscriber_type, state) VALUES (1, 'mobile', 'WA'), (2, 'mobile', 'NY'), (3, 'broadband', 'WA'), (4, 'mobile', 'CA'), (5, 'broadband', 'NY'); | What is the total number of mobile and broadband subscribers in each state? | SELECT state, COUNT(*) as total_subscribers FROM mobile_subscribers GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_mitigation_projects (id INT PRIMARY KEY, project_type VARCHAR(50), country VARCHAR(50), year INT); | Calculate the total number of climate mitigation projects in Oceania, excluding Australia and New Zealand. | SELECT COUNT(*) AS total_projects FROM climate_mitigation_projects cmp WHERE country NOT IN ('Australia', 'New Zealand') AND country LIKE 'Oceania%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, case_outcome TEXT, total_billing FLOAT); INSERT INTO cases (case_id, case_outcome, total_billing) VALUES (1, 'settled', 2000.00), (2, 'won', 3000.00), (3, 'lost', 1500.00); | What is the total billing amount for cases with outcome 'settled'? | SELECT SUM(total_billing) FROM cases WHERE case_outcome = 'settled'; | gretelai_synthetic_text_to_sql |
CREATE TABLE accounts (customer_id INT, account_type VARCHAR(20), balance DECIMAL(10, 2)); | What is the average monthly balance for each customer's account, partitioned by account type? | SELECT account_type, AVG(balance) OVER (PARTITION BY account_type) FROM accounts; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_consumption (city VARCHAR(50), consumption FLOAT, year INT); INSERT INTO water_consumption (city, consumption, year) VALUES ('Atlanta', 4500.5, 2020), ('Atlanta', 4700.2, 2021); | Determine the percentage change in water consumption for the city of Atlanta between the years 2020 and 2021. | SELECT (SUM(consumption) * 100.0 / (SELECT SUM(consumption) FROM water_consumption WHERE city = 'Atlanta' AND year = 2020) - 100.0) AS pct_change FROM water_consumption WHERE city = 'Atlanta' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (id INT, region_name VARCHAR(255)); INSERT INTO regions (id, region_name) VALUES (1, 'Asia'), (2, 'Africa'), (3, 'North America'); CREATE TABLE animal_location (id INT, animal_id INT, region_id INT); INSERT INTO animal_location (id, animal_id, region_id) VALUES (1, 1, 1), (2, 2, 2), (3, 3, 3); CREA... | Find the total number of animals in African and North American regions | SELECT r.region_name, COUNT(a.id) as animal_count FROM regions r INNER JOIN animal_location al ON r.id = al.region_id INNER JOIN animals a ON al.animal_id = a.id WHERE r.region_name IN ('Africa', 'North America') GROUP BY r.region_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE AircraftManufacturing (aircraft_id INT, manufacturer VARCHAR(50), country VARCHAR(50)); INSERT INTO AircraftManufacturing (aircraft_id, manufacturer, country) VALUES (1, 'Boeing', 'USA'), (2, 'Airbus', 'Europe'); | Count the number of Boeing aircraft. | SELECT COUNT(*) FROM AircraftManufacturing WHERE manufacturer = 'Boeing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (id INT, program_id INT, program_name VARCHAR(100), budget DECIMAL(10, 2), start_date DATE, end_date DATE); INSERT INTO Programs (id, program_id, program_name, budget, start_date, end_date) VALUES (1, 301, 'Elementary Education', 12000.00, '2023-01-01', '2023-03-31'); INSERT INTO Programs (id, pro... | What was the total budget for education programs in Q1 2023? | SELECT SUM(budget) FROM Programs WHERE program_id BETWEEN 301 AND 310 AND start_date <= '2023-03-31' AND end_date >= '2023-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE policies (policy_number INT, policyholder_name TEXT, issue_date DATE, state TEXT); INSERT INTO policies (policy_number, policyholder_name, issue_date, state) VALUES (12345, 'John Doe', '2021-06-01', 'California'); | What is the policy number, policyholder name, and issue date for policies issued in California? | SELECT policy_number, policyholder_name, issue_date FROM policies WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE coniferous_forests (id INT, carbon_sequestration FLOAT); INSERT INTO coniferous_forests VALUES (1, 45.67), (2, 56.78), (3, 67.89); | What is the average carbon sequestration in coniferous forests? | SELECT AVG(carbon_sequestration) FROM coniferous_forests; | gretelai_synthetic_text_to_sql |
CREATE TABLE aquafarms (id INT, name TEXT, location TEXT); INSERT INTO aquafarms (id, name, location) VALUES (1, 'Farm A', 'Pacific'), (2, 'Farm B', 'Atlantic'), (5, 'Farm E', 'Arctic'); CREATE TABLE temperature_data (aquafarm_id INT, timestamp TIMESTAMP, temperature FLOAT); | What is the average water temperature change per hour for each aquafarm in the Arctic region? | SELECT aquafarm_id, AVG(temp_diff) AS avg_temp_change, EXTRACT(HOUR FROM timestamp) AS hour FROM (SELECT aquafarm_id, temperature, LAG(temperature) OVER (PARTITION BY aquafarm_id ORDER BY timestamp) AS prev_temperature, (temperature - COALESCE(prev_temperature, temperature)) AS temp_diff FROM temperature_data) temperat... | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (event_id INT, event_name VARCHAR(50), revenue INT); INSERT INTO Events (event_id, event_name, revenue) VALUES (2, 'Dance Recital', 12000); | What was the total revenue from the 'Dance Recital' event? | SELECT revenue FROM Events WHERE event_name = 'Dance Recital'; | gretelai_synthetic_text_to_sql |
CREATE TABLE OilProduction (ProductionID INT, Location VARCHAR(20), ProductionDate DATE, OilProduction INT); INSERT INTO OilProduction (ProductionID, Location, ProductionDate, OilProduction) VALUES (1, 'Alaska', '2022-01-01', 15000), (2, 'Alaska', '2022-01-02', 16000), (3, 'Alaska', '2022-01-03', 14000); | What is the average daily oil production in Alaska, in barrels, for the last 3 months? | SELECT AVG(OilProduction) FROM OilProduction WHERE Location = 'Alaska' AND ProductionDate >= DATEADD(month, -3, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_manufacturing (garment_id INT, garment_type VARCHAR(50), region VARCHAR(50), manufacturing_time INT); CREATE TABLE garments (garment_id INT, garment_name VARCHAR(50)); | What is the average manufacturing time for each garment type in East Asia? | SELECT garment_type, AVG(manufacturing_time) FROM garment_manufacturing JOIN garments ON garment_manufacturing.garment_id = garments.garment_id WHERE region = 'East Asia' GROUP BY garment_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Hotels (id INT, name TEXT, country TEXT, type TEXT, co2_emission INT); INSERT INTO Hotels (id, name, country, type, co2_emission) VALUES (1, 'Eco Hotel', 'France', 'Eco', 50); | Find the top 5 hotels with the highest CO2 emission? | SELECT name, SUM(co2_emission) AS total_emission FROM Hotels GROUP BY name ORDER BY total_emission DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE concerts (event_id INT, event_name VARCHAR(50), location VARCHAR(50), date DATE, ticket_price DECIMAL(5,2), num_tickets INT); | What is the total revenue for each event in the 'concerts' table? | SELECT event_name, SUM(ticket_price * num_tickets) as total_revenue FROM concerts GROUP BY event_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE City (city_id INT, city_name VARCHAR(50), city_population INT); CREATE TABLE Initiative (initiative_id INT, initiative_name VARCHAR(50), city_id INT); | Which smart city initiatives have been implemented in the top 5 most populous cities? | SELECT City.city_name, Initiative.initiative_name FROM City JOIN Initiative ON City.city_id = Initiative.city_id WHERE City.city_population IN (SELECT city_population FROM City ORDER BY city_population DESC LIMIT 5); | gretelai_synthetic_text_to_sql |
CREATE TABLE eco_hotels_extended (hotel_id INT, name TEXT, country TEXT); INSERT INTO eco_hotels_extended (hotel_id, name, country) VALUES (1, 'Le Hameau de la Vallée', 'France'), (2, 'Hotel Eco Vie', 'France'), (3, 'Eco Resort', 'Italy'), (4, 'Green Hotel', 'Spain'); | Number of eco-friendly hotels in each country? | SELECT country, COUNT(*) FROM eco_hotels_extended GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_tech_patents (id INT, country VARCHAR(50), tech VARCHAR(50), year INT, patent_number INT); INSERT INTO military_tech_patents (id, country, tech, year, patent_number) VALUES (1, 'USA', 'Drones', 2017, 100), (2, 'USA', 'Cybersecurity', 2017, 101), (3, 'USA', 'Artificial Intelligence', 2017, 102), (4... | What is the total number of military technology patents filed by each country in the last 5 years, and what are the names of those technologies? | SELECT country, tech, SUM(patent_number) as total_patents FROM military_tech_patents WHERE year BETWEEN 2017 AND 2021 GROUP BY country, tech; | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_impact (site_id INT, site_name TEXT, ei_score FLOAT); INSERT INTO environmental_impact (site_id, site_name, ei_score) VALUES (1, 'Site A', 75), (3, 'Site C', 60); | Delete the record for Site C from the environmental impact table. | DELETE FROM environmental_impact WHERE site_id = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellites (name TEXT, launch_date DATE, country TEXT, function TEXT); | Insert data into the "satellites" table for a satellite named "Hubble Space Telescope", launched on 1990-04-24, from USA, with function "Astronomy". | INSERT INTO satellites (name, launch_date, country, function) VALUES ('Hubble Space Telescope', '1990-04-24', 'USA', 'Astronomy'); | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, rating FLOAT); INSERT INTO products (product_id, rating) VALUES (1, 4.5), (2, 4.8), (3, 3.2); | What is the rating of the product with the lowest product_id? | SELECT rating FROM products ORDER BY product_id LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity (violation_id INT, violation_date DATE, region VARCHAR(255)); INSERT INTO mental_health_parity (violation_id, violation_date, region) VALUES (1, '2021-01-01', 'Northeast'), (2, '2021-02-01', 'Southeast'), (3, '2021-03-01', 'Northeast'); | What is the maximum number of mental health parity violations in a single region? | SELECT region, MAX(violation_count) FROM (SELECT region, COUNT(violation_id) AS violation_count FROM mental_health_parity GROUP BY region) AS subquery GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE routes (route_id INT, name VARCHAR(255)); INSERT INTO routes (route_id, name) VALUES (505, 'Route 505'); CREATE TABLE vehicles (vehicle_id INT, route_id INT, model VARCHAR(255)); INSERT INTO vehicles (vehicle_id, route_id, model) VALUES (1001, 505, 'Bus A'), (1002, 505, 'Bus B'); | How many vehicles are assigned to route 505? | SELECT COUNT(*) FROM vehicles WHERE route_id = 505; | gretelai_synthetic_text_to_sql |
CREATE TABLE Workouts (Id INT, MemberId INT, Duration INT, Date DATE); INSERT INTO Workouts (Id, MemberId, Duration, Date) VALUES (1, 1, 60, '2022-01-01'), (2, 1, 45, '2022-01-02'), (3, 2, 90, '2022-01-01'), (4, 2, 75, '2022-01-03'), (5, 3, 120, '2022-01-01'); | What is the maximum duration of a workout for each member? | SELECT MemberId, MAX(Duration) FROM Workouts GROUP BY MemberId; | gretelai_synthetic_text_to_sql |
CREATE TABLE flower_prices (dispensary_id INT, sale_date DATE, price DECIMAL(10, 2)); INSERT INTO flower_prices (dispensary_id, sale_date, price) VALUES (1, '2022-01-01', 12), (1, '2022-01-15', 10), (1, '2022-02-05', 14), (2, '2022-01-03', 15), (2, '2022-01-31', 11), (2, '2022-02-20', 13); | What was the average price per gram of cannabis flower at each dispensary in Q1 2022? | SELECT d.name, AVG(fp.price / fs.weight) as avg_price_per_gram FROM flower_sales fs JOIN flower_prices fp ON fs.dispensary_id = fp.dispensary_id AND fs.sale_date = fp.sale_date JOIN dispensaries d ON fs.dispensary_id = d.id WHERE fs.sale_date BETWEEN '2022-01-01' AND '2022-03-31' GROUP BY d.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_acidity (id INTEGER, location TEXT, acidity FLOAT, date DATE); | What is the average ocean acidity in the 'Southern Ocean' over the last 5 years? | SELECT AVG(acidity) FROM ocean_acidity WHERE location = 'Southern Ocean' AND date >= DATEADD(year, -5, CURRENT_DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE antarctic_education_programs (organization VARCHAR(50), program_date DATE); INSERT INTO antarctic_education_programs (organization, program_date) VALUES ('Organization A', '2020-01-01'), ('Organization B', '2019-12-15'), ('Organization A', '2018-06-20'); | What is the number of community education programs conducted by each organization in the Antarctic conservation programs? | SELECT organization, COUNT(*) FROM antarctic_education_programs GROUP BY organization; | gretelai_synthetic_text_to_sql |
CREATE TABLE teachers (id INT, region TEXT, courses_completed INT); | What is the average number of professional development courses completed by teachers in each region? | SELECT region, AVG(courses_completed) FROM teachers GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, product_type VARCHAR(20), color VARCHAR(20), revenue DECIMAL); INSERT INTO sales (id, product_type, color, revenue) VALUES (1, 'sustainable', 'green', 100.00), (2, 'regular', 'blue', 200.00), (3, 'sustainable', 'green', 300.00), (4, 'regular', 'red', 400.00), (5, 'sustainable', 'blue', 500.0... | What is the most popular color of sustainable fashion products? | SELECT color, COUNT(*) FROM sales WHERE product_type = 'sustainable' GROUP BY color ORDER BY COUNT(*) DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE daily_oil_production (platform_id INT, production_date DATE, oil_production FLOAT); INSERT INTO daily_oil_production (platform_id, production_date, oil_production) VALUES (1, '2020-04-01', 50), (1, '2020-04-02', 60), (1, '2020-04-03', 70), (1, '2020-05-01', 80), (1, '2020-05-02', 90), (1, '2020-05-03', 100... | Determine the daily oil production for a specific platform in Q2 2020 | SELECT production_date, oil_production FROM daily_oil_production WHERE platform_id = 1 AND YEAR(production_date) = 2020 AND MONTH(production_date) BETWEEN 2 AND 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (student_id INT, program VARCHAR(20)); INSERT INTO students (student_id, program) VALUES (1, 'remote_learning'), (2, 'remote_learning'), (3, 'in_person'), (4, 'in_person'); | What is the total number of students in each program? | SELECT program, COUNT(*) FROM students GROUP BY program; | gretelai_synthetic_text_to_sql |
CREATE TABLE greenhouse_sensors ( id INT, sensor_type VARCHAR(20), temperature DECIMAL(5,2), humidity DECIMAL(5,2), light_level INT, timestamp TIMESTAMP); INSERT INTO greenhouse_sensors (id, sensor_type, temperature, humidity, light_level, timestamp) VALUES (1, 'temperature', 22.5, 60, 500, '2022-01-01 10:00:00'), (2, ... | What is the latest light_level reading from the greenhouse_sensors table? | SELECT MAX(timestamp), light_level FROM greenhouse_sensors WHERE sensor_type = 'light' AND light_level IS NOT NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE cosmetics (product_id INT, product_name VARCHAR(100), rating DECIMAL(2,1), is_eco_friendly BOOLEAN, product_type VARCHAR(50)); | What is the average rating of eco-friendly skincare products? | SELECT AVG(rating) FROM cosmetics WHERE is_eco_friendly = TRUE AND product_type = 'skincare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE citizen_feedback_records (state VARCHAR(20), response_time INT); INSERT INTO citizen_feedback_records (state, response_time) VALUES ('Florida', 48); INSERT INTO citizen_feedback_records (state, response_time) VALUES ('Florida', 52); INSERT INTO citizen_feedback_records (state, response_time) VALUES ('Texas... | What is the average response time for citizen feedback records in the state of Florida? | SELECT AVG(response_time) FROM citizen_feedback_records WHERE state = 'Florida'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT PRIMARY KEY, PlayerName VARCHAR(100), Country VARCHAR(50), VRAdoption BOOLEAN); INSERT INTO Players VALUES (1, 'Lea', 'France', TRUE); | Get the number of players who have adopted VR technology from each country. | SELECT Country, COUNT(*) as NumPlayers FROM Players WHERE VRAdoption = TRUE GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE imports (id INT, country VARCHAR(20), material VARCHAR(30), quantity INT); CREATE TABLE exports (id INT, country VARCHAR(20), material VARCHAR(30), quantity INT); INSERT INTO imports (id, country, material, quantity) VALUES (1, 'USA', 'Steel', 5000), (2, 'USA', 'Aluminum', 7000), (3, 'China', 'Steel', 8000... | Show the total amount of raw materials imported and exported by each country in the manufacturing domain. | SELECT i.country, SUM(i.quantity) AS total_imported, SUM(e.quantity) AS total_exported FROM imports i INNER JOIN exports e ON i.country = e.country GROUP BY i.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinical_trials (id INT, drug_id INT, trial_name VARCHAR(50), outcome VARCHAR(50)); INSERT INTO clinical_trials (id, drug_id, trial_name, outcome) VALUES (1, 1, 'TrialA', 'Success'), (2, 1, 'TrialB', 'Failure'), (3, 2, 'TrialC', 'Success'), (4, 3, 'TrialD', 'Success'); | What are the clinical trial outcomes for drugs in the neurology department? | SELECT ct.drug_id, ct.trial_name, ct.outcome FROM clinical_trials ct WHERE ct.drug_id IN (SELECT id FROM drugs WHERE department = 'Neurology'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Cities (CityID int, CityName varchar(255), Country varchar(255), Population int); INSERT INTO Cities (CityID, CityName, Country, Population) VALUES (1, 'Pretoria', 'South Africa', 2000000); | What is the name of the capital city of South Africa and its population? | SELECT CityName, Population FROM Cities WHERE Country = 'South Africa' AND CityName = 'Pretoria'; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id INT, name TEXT, country TEXT); INSERT INTO players (player_id, name, country) VALUES (1, 'Messi', 'Argentina'), (2, 'Di Maria', 'Argentina'), (3, 'Kane', 'England'); CREATE TABLE fouls (foul_id INT, player_id INT, fouls INT); INSERT INTO fouls (foul_id, player_id, fouls) VALUES (1, 1, 2)... | What is the average number of fouls committed by players from Argentina in the 'World Cup'? | SELECT AVG(fouls) FROM fouls JOIN games ON fouls.player_id = games.player_id JOIN players ON fouls.player_id = players.player_id WHERE players.country = 'Argentina' AND games.tournament = 'World Cup'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists financial_wellbeing (id INT, user_id INT, country VARCHAR(255), score INT); INSERT INTO financial_wellbeing (id, user_id, country, score) VALUES (1, 1, 'Canada', 70), (2, 2, 'USA', 80), (3, 3, 'Canada', 90); | What is the maximum financial wellbeing score in Canada? | SELECT MAX(score) FROM financial_wellbeing WHERE country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Facility_Materials (facility_id INT, source_date DATE, material_weight FLOAT); | What is the total weight of materials used in each production facility for the past year? | SELECT Facility_Materials.facility_id, SUM(Facility_Materials.material_weight) as total_weight FROM Facility_Materials WHERE source_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY Facility_Materials.facility_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE WastewaterTreatmentData (plant_location VARCHAR(20), water_consumption_per_day FLOAT); INSERT INTO WastewaterTreatmentData (plant_location, water_consumption_per_day) VALUES ('Miami', 5000000), ('Tampa', 4000000); | What is the maximum water consumption per day in the wastewater treatment plant located in Miami? | SELECT MAX(water_consumption_per_day) FROM WastewaterTreatmentData WHERE plant_location = 'Miami'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Parks (ID INT, Area VARCHAR(50), Type VARCHAR(50)); INSERT INTO Parks VALUES (1, 'Urban', 'Public'), (2, 'Rural', 'Community'), (3, 'Urban', 'Private'); | What is the total number of public parks in urban areas? | SELECT COUNT(*) FROM Parks WHERE Area = 'Urban' AND Type = 'Public'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, age INT); INSERT INTO donors (id, age) VALUES (1, 32), (2, 45), (3, 28), (4, 52), (5, 18), (6, 23), (7, 48), (8, 37), (9, 57), (10, 21); | How many donors are there in each age group (5-year intervals)? | SELECT FLOOR(age/5)*5 as age_group, COUNT(*) as num_donors FROM donors GROUP BY age_group; | gretelai_synthetic_text_to_sql |
CREATE TABLE PeacekeepingOperations (leader VARCHAR(255), operation VARCHAR(255), start_date DATE, end_date DATE, personnel INT); INSERT INTO PeacekeepingOperations (leader, operation, start_date, end_date, personnel) VALUES ('Indonesia', 'Aceh Monitoring Mission', '2005-12-15', '2006-12-15', 500); INSERT INTO Peacekee... | List all peacekeeping operations led by ASEAN member countries since 2000, with their start and end dates and the number of personnel involved, ordered by the most recent operations. | SELECT leader, operation, start_date, end_date, personnel, ROW_NUMBER() OVER (PARTITION BY leader ORDER BY start_date DESC) as operation_rank FROM PeacekeepingOperations WHERE leader LIKE 'ASEAN%' AND start_date >= '2000-01-01' ORDER BY start_date DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE circular_economy (country VARCHAR(50), year INT, initiatives INT); INSERT INTO circular_economy (country, year, initiatives) VALUES ('France', 2020, 12), ('Germany', 2020, 15), ('Italy', 2020, 18), ('Spain', 2020, 10), ('United Kingdom', 2020, 20); | What is the number of circular economy initiatives for each country in Europe in 2020? | SELECT country, initiatives FROM circular_economy WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE training_programs (id INT, department VARCHAR(20), program VARCHAR(50), date DATE, completed BOOLEAN); INSERT INTO training_programs (id, department, program, date, completed) VALUES (1, 'IT', 'Python', '2022-01-01', true); | Delete all records from the 'training_programs' table for the 'IT' department | DELETE FROM training_programs WHERE department = 'IT'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Species ( id INT PRIMARY KEY, name VARCHAR(255), family VARCHAR(255), population INT); | What are the names of all marine species and their respective families with a population greater than 1000? | SELECT name, family FROM Species WHERE population > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Accidents (MineID INT, MineType VARCHAR(15), AccidentDate DATE); | What is the total number of accidents in the diamond mines in the last 5 years? | SELECT COUNT(*) FROM Accidents WHERE MineType = 'Diamond' AND AccidentDate >= DATEADD(year, -5, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA green_buildings; CREATE TABLE certifications (certification_name VARCHAR(255), year_established INT); INSERT INTO certifications (certification_name, year_established) VALUES ('LEED', 2000), ('BREEAM', 1998), ('Green Star', 2008), ('WELL', 2014); | List the names of all Green Building certifications established between 2000 and 2010, in ascending order. | SELECT certification_name FROM green_buildings.certifications WHERE year_established >= 2000 AND year_established <= 2010 ORDER BY certification_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_savings (id INT, building_id INT, technology VARCHAR(50), energy_savings_kwh FLOAT, saving_date DATE); | Calculate the average energy savings (in kWh) for each technology type, per year in the 'energy_savings' table | SELECT technology, EXTRACT(YEAR FROM saving_date) as year, AVG(energy_savings_kwh) as avg_savings FROM energy_savings GROUP BY technology, year; | gretelai_synthetic_text_to_sql |
CREATE TABLE donor (id INT, name VARCHAR(255)); CREATE TABLE donation (id INT, donor_id INT, cause VARCHAR(255), amount DECIMAL(10, 2)); INSERT INTO donor (id, name) VALUES (1, 'Jane Doe'), (2, 'John Smith'), (3, 'Mary Johnson'); INSERT INTO donation (id, donor_id, cause, amount) VALUES (1, 1, 'animal_welfare', 500), (... | Who are the top 5 donors by total donation amount to the 'animal_welfare' cause? | SELECT donor_id, SUM(amount) as total_donations FROM donation WHERE cause = 'animal_welfare' GROUP BY donor_id ORDER BY total_donations DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE concerts (id INT, country VARCHAR(255), city VARCHAR(255), artist_name VARCHAR(255), tier VARCHAR(255), price DECIMAL(10,2), num_tickets INT); CREATE VIEW artist_countries AS SELECT artist_name, country FROM concerts; | Find the number of unique artists who have performed in each country, excluding artists who have performed in only one city. | SELECT country, COUNT(DISTINCT artist_name) AS num_artists FROM artist_countries GROUP BY country HAVING COUNT(DISTINCT city) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE plants (id INT, name TEXT, location TEXT, safety_score FLOAT); INSERT INTO plants (id, name, location, safety_score) VALUES (1, 'ABC Plant', 'California', 85.6), (2, 'XYZ Plant', 'California', 92.3); | What is the average safety score for chemical production plants located in California, ordered by the score in descending order? | SELECT AVG(safety_score) AS avg_safety_score FROM plants WHERE location = 'California' ORDER BY safety_score DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, activity_type TEXT, country TEXT); INSERT INTO transactions (transaction_id, activity_type, country) VALUES (1, 'Sustainable Transportation', 'Canada'), (2, 'Eco-Friendly Accommodation', 'Canada'), (3, 'Cultural Heritage Preservation', 'USA'); | List all transactions involving sustainable tourism activities in Canada. | SELECT * FROM transactions WHERE activity_type LIKE '%sustainable%' AND country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, sector VARCHAR(20), ESG_score FLOAT); INSERT INTO companies (id, sector, ESG_score) VALUES (1, 'technology', 78.3), (2, 'finance', 65.2), (3, 'technology', 74.5); | What is the minimum ESG score for companies in the 'technology' sector? | SELECT MIN(ESG_score) FROM companies WHERE sector = 'technology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Country VARCHAR(20), VRPlatform VARCHAR(10), PrefersPC BOOLEAN); | Insert a new record for a player from 'Brazil' who uses Oculus and prefers PC gaming. | INSERT INTO Players (PlayerID, Country, VRPlatform, PrefersPC) VALUES (3, 'Brazil', 'Oculus', TRUE); | gretelai_synthetic_text_to_sql |
CREATE TABLE donor (did INT, age INT, total_donation DECIMAL(10, 2)); INSERT INTO donor (did, age, total_donation) VALUES (1, 30, 1500), (2, 45, 1200), (3, 22, 800), (4, 50, 1700), (5, 28, 900); | What is the total donation amount by age group? | SELECT age_group, SUM(total_donation) as total_donation FROM (SELECT CASE WHEN age < 30 THEN '18-30' WHEN age < 50 THEN '31-50' ELSE '51+' END as age_group, total_donation FROM donor) t GROUP BY age_group; | gretelai_synthetic_text_to_sql |
CREATE TABLE MiningCompanies (CompanyID INT, CompanyName VARCHAR(255)); INSERT INTO MiningCompanies (CompanyID, CompanyName) VALUES (1, 'ABC Mining'); INSERT INTO MiningCompanies (CompanyID, CompanyName) VALUES (2, 'XYZ Excavation'); CREATE TABLE Employees (EmployeeID INT, CompanyID INT, FirstName VARCHAR(255), LastNam... | What is the total number of employees for each mining company? | SELECT e.CompanyID, COUNT(e.EmployeeID) as TotalEmployees FROM Employees e GROUP BY e.CompanyID; | gretelai_synthetic_text_to_sql |
CREATE TABLE athlete_wellbeing (athlete_id INT, wellbeing_program VARCHAR(20)); INSERT INTO athlete_wellbeing (athlete_id, wellbeing_program) VALUES (1, 'Yoga'), (2, 'Meditation'), (3, 'Stretching'); | Delete all records from the 'athlete_wellbeing' table where the wellbeing_program is 'Meditation' | DELETE FROM athlete_wellbeing WHERE wellbeing_program = 'Meditation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, name VARCHAR(50), age INT, state VARCHAR(50)); CREATE TABLE therapy_sessions (session_id INT, patient_id INT, therapist_id INT, session_date DATE, therapy_type VARCHAR(50)); INSERT INTO patients VALUES (1, 'John Doe', 35, 'California'); INSERT INTO patients VALUES (2, 'Jane Smith'... | List the names and treatment start dates of patients who have been treated with Cognitive Behavioral Therapy (CBT) or Dialectical Behavior Therapy (DBT) | SELECT patients.name, therapy_sessions.session_date FROM patients JOIN therapy_sessions ON patients.patient_id = therapy_sessions.patient_id WHERE therapy_sessions.therapy_type IN ('CBT', 'DBT'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Trains (id INT, region VARCHAR(10), fare_collected DECIMAL(5,2)); INSERT INTO Trains (id, region, fare_collected) VALUES (1, 'west', 200.00), (2, 'west', 300.00), (3, 'east', 150.00); | What is the total fare collected for trains in the 'west' region in the last month? | SELECT SUM(Trains.fare_collected) FROM Trains WHERE Trains.region = 'west' AND Trains.fare_collected > 0 AND Trains.fare_collected IS NOT NULL AND Trains.fare_collected <> ''; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_investment (id INT, country VARCHAR(50), type VARCHAR(50), investment FLOAT); INSERT INTO climate_investment (id, country, type, investment) VALUES (1, 'China', 'climate adaptation', 500000.00), (2, 'India', 'climate mitigation', 750000.00), (3, 'Indonesia', 'climate adaptation', 600000.00); | What is the average investment in climate adaptation per project in Asia? | SELECT AVG(investment) FROM climate_investment WHERE country IN ('China', 'India', 'Indonesia', 'Japan', 'Vietnam') AND type = 'climate adaptation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE WastewaterTreatmentPlants (PlantID INT, PlantName VARCHAR(50), Location VARCHAR(50), Capacity FLOAT); INSERT INTO WastewaterTreatmentPlants (PlantID, PlantName, Location, Capacity) VALUES (1, 'PlantA', 'LocationA', 500.5), (2, 'PlantB', 'LocationB', 600.2), (1001, 'PlantX', 'LocationX', 800.0); | Delete records of wastewater treatment plants with a "PlantID" greater than 1000. | DELETE FROM WastewaterTreatmentPlants WHERE PlantID > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Site_Production (Site_ID INT, Production_Date DATE, Production_Quantity INT); INSERT INTO Site_Production (Site_ID, Production_Date, Production_Quantity) VALUES (1, '2022-01-01', 500), (1, '2022-02-01', 550), (1, '2022-03-01', 600), (2, '2022-01-01', 800), (2, '2022-02-01', 850), (2, '2022-03-01', 900); | Show the 3-month moving average of production for each site. | SELECT Site_ID, AVG(Production_Quantity) OVER (PARTITION BY Site_ID ORDER BY Production_Date ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) as Three_Month_Moving_Avg FROM Site_Production; | gretelai_synthetic_text_to_sql |
CREATE TABLE DefenseDiplomacy (ID INT, EventName TEXT, EventDate DATE, Country TEXT, ParticipatingCountries TEXT); INSERT INTO DefenseDiplomacy VALUES (1, 'Event 1', '2016-01-01', 'USA', 'Canada, Mexico'); CREATE VIEW DiplomacyCountries AS SELECT Country FROM DefenseDiplomacy WHERE Country IN ('USA', 'Canada', 'Mexico'... | Which countries have been involved in the most defense diplomacy events in the last 7 years, along with the number of events? | SELECT dc.Country, COUNT(*) as DiplomacyCount FROM DefenseDiplomacy d JOIN DiplomacyCountries dc ON d.Country = dc.Country WHERE d.EventDate BETWEEN DATEADD(year, -7, GETDATE()) AND GETDATE() GROUP BY dc.Country ORDER BY DiplomacyCount DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE osha_fines (fine_id INT, region TEXT, amount INT); INSERT INTO osha_fines (fine_id, region, amount) VALUES (1, 'Northeast', 5000), (2, 'West Coast', 10000), (3, 'South', 7500); | What is the minimum workplace safety fine issued by OSHA in each region? | SELECT region, MIN(amount) OVER (PARTITION BY region) FROM osha_fines; | gretelai_synthetic_text_to_sql |
CREATE TABLE HeritageSites (SiteID int, SiteName varchar(50), Country varchar(50)); INSERT INTO HeritageSites (SiteID, SiteName, Country) VALUES (1, 'Giza Pyramids', 'Egypt'), (2, 'African Renaissance Monument', 'Senegal'), (3, 'Taj Mahal', 'India'), (4, 'Angkor Wat', 'Cambodia'), (5, 'Machu Picchu', 'Peru'), (6, 'Petr... | Which countries have more than 3 heritage sites? | SELECT Country, COUNT(*) FROM HeritageSites GROUP BY Country HAVING COUNT(*) > 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (id INT, name TEXT, country TEXT, hours FLOAT, quarter TEXT, year INT); INSERT INTO Volunteers (id, name, country, hours, quarter, year) VALUES (1, 'Alice', 'USA', 5.0, 'Q3', 2021), (2, 'Bob', 'Canada', 7.5, 'Q3', 2021); | What is the total number of volunteer hours contributed by volunteers from the USA and Canada in Q3 2021? | SELECT SUM(hours) FROM Volunteers WHERE country IN ('USA', 'Canada') AND quarter = 'Q3' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, supplier_name VARCHAR(50)); INSERT INTO suppliers (supplier_id, supplier_name) VALUES (1, 'ABC Supplies'), (2, 'XYZ Components'), (3, 'Green Solutions'); CREATE TABLE deliveries (delivery_id INT, supplier_id INT, component_quantity INT, delivery_time INT); INSERT INTO deliveries... | List all suppliers and their average delivery time for components, arranged alphabetically by supplier name. | SELECT supplier_name, AVG(delivery_time) as avg_delivery_time FROM deliveries JOIN suppliers ON deliveries.supplier_id = suppliers.supplier_id GROUP BY supplier_name ORDER BY supplier_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE infrastructure_development (project_id INT, location VARCHAR(30), start_date DATE, end_date DATE, cost INT); INSERT INTO infrastructure_development (project_id, location, start_date, end_date, cost) VALUES (1, 'North Sea', '2017-01-01', '2021-12-31', 300000000); INSERT INTO infrastructure_development (proj... | Update the 'end_date' value for the record with 'project_id' = 2 in the 'infrastructure_development' table to '2023-12-31' | UPDATE infrastructure_development SET end_date = '2023-12-31' WHERE project_id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer_program (id INT, name VARCHAR(50), age INT, location VARCHAR(30)); INSERT INTO volunteer_program (id, name, age, location) VALUES (1, 'John Doe', 25, 'New York'), (2, 'Jane Smith', 32, 'California'), (3, 'Alice Johnson', 22, 'Texas'); | What is the total number of volunteers in the 'volunteer_program' table, grouped by age range (18-30, 31-40, 41-50)? | SELECT CASE WHEN age BETWEEN 18 AND 30 THEN '18-30' WHEN age BETWEEN 31 AND 40 THEN '31-40' WHEN age BETWEEN 41 AND 50 THEN '41-50' ELSE '50+' END AS age_range, COUNT(*) FROM volunteer_program GROUP BY age_range; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_stats (destination VARCHAR(255), year INT, visitors INT); INSERT INTO tourism_stats (destination, year, visitors) VALUES ('United States', 2019, 30000000); | Find the percentage of tourists who visited the United States in 2019 | SELECT (visitors / (SELECT SUM(visitors) FROM tourism_stats) * 100) AS percentage FROM tourism_stats WHERE destination = 'United States' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE Attorneys (AttorneyID INT, Gender VARCHAR(10), BillingAmount DECIMAL); INSERT INTO Attorneys (AttorneyID, Gender, BillingAmount) VALUES (1, 'Female', 2500.00), (2, 'Male', 1800.00), (3, 'Female', 3200.00); | What is the maximum billing amount for cases handled by attorneys who identify as female? | SELECT MAX(BillingAmount) FROM Attorneys WHERE Gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Films (film_id INT, title VARCHAR(255), release_date DATE, production_budget INT, director_gender VARCHAR(10)); INSERT INTO Films (film_id, title, release_date, production_budget, director_gender) VALUES (1, 'Movie1', '2000-01-01', 5000000, 'female'), (2, 'Movie2', '2005-01-01', 7000000, 'male'), (3, 'Movi... | What is the sum of all production budgets for films by female directors? | SELECT SUM(production_budget) FROM Films WHERE director_gender = 'female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE malware_types (type_id INT, type_name VARCHAR(100));CREATE TABLE malware_instances (instance_id INT, type_id INT, instance_date DATE); | What are the top 5 most common types of malware, and how many instances of each type were detected in the last 90 days? | SELECT mt.type_name, COUNT(mi.instance_id) as total_instances FROM malware_types mt JOIN malware_instances mi ON mt.type_id = mi.type_id WHERE mi.instance_date >= NOW() - INTERVAL 90 DAY GROUP BY mt.type_name ORDER BY total_instances DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
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