context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
values |
|---|---|---|---|
CREATE TABLE teams (team_id INT, team_name VARCHAR(100), country VARCHAR(50)); INSERT INTO teams (team_id, team_name, country) VALUES (1, 'Barcelona', 'Spain'), (2, 'Bayern Munich', 'Germany'); CREATE TABLE matches (match_id INT, team_home_id INT, team_away_id INT, tickets_sold INT); INSERT INTO matches (match_id, team... | Find the top 3 countries with the highest average ticket sales for football matches. | SELECT country, AVG(tickets_sold) as avg_sales FROM matches m JOIN teams t1 ON m.team_home_id = t1.team_id JOIN teams t2 ON m.team_away_id = t2.team_id GROUP BY country ORDER BY avg_sales DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT, state VARCHAR(20), size INT, sustainable BOOLEAN); INSERT INTO projects (id, state, size, sustainable) VALUES (1, 'California', 2000, TRUE), (2, 'California', 3000, FALSE), (3, 'New York', 2500, TRUE); | What is the total square footage of sustainable urbanism projects in the state of California? | SELECT SUM(size) FROM projects WHERE state = 'California' AND sustainable = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE pacific_fish (id INT, species VARCHAR(255), biomass FLOAT); INSERT INTO pacific_fish (id, species, biomass) VALUES (1, 'Tuna', 200.0), (2, 'Salmon', 150.0), (3, 'Cod', 120.0); | Find the total biomass of fish species in the Pacific Ocean that are above the average biomass. | SELECT SUM(biomass) FROM pacific_fish WHERE biomass > (SELECT AVG(biomass) FROM pacific_fish); | gretelai_synthetic_text_to_sql |
VESSEL(vessel_id, vessel_name); TRIP(voyage_id, trip_date, vessel_id, fuel_consumption) | Summarize the total fuel consumption by each vessel in a given month | SELECT v.vessel_id, v.vessel_name, DATEPART(year, t.trip_date) AS year, DATEPART(month, t.trip_date) AS month, SUM(t.fuel_consumption) AS total_fuel_consumption FROM VESSEL v JOIN TRIP t ON v.vessel_id = t.vessel_id WHERE t.trip_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY v.vessel_id, v.vessel_name, DATEPART(ye... | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, country VARCHAR(255), last_update DATE); | How many users from India have updated their profile information in the last week? | SELECT COUNT(*) FROM users WHERE country = 'India' AND last_update >= DATE_SUB(CURDATE(), INTERVAL 1 WEEK); | gretelai_synthetic_text_to_sql |
CREATE TABLE ratings (id INT, mine_type VARCHAR(20), assessment_rating FLOAT); INSERT INTO ratings (id, mine_type, assessment_rating) VALUES (1, 'Open-pit', 80), (2, 'Underground', 85), (3, 'Open-pit', 82), (4, 'Underground', 88), (5, 'Open-pit', 83), (6, 'Underground', 87); | What is the average environmental impact assessment rating per mine type? | SELECT mine_type, AVG(assessment_rating) AS avg_rating FROM ratings GROUP BY mine_type ORDER BY avg_rating DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE subscriber_tech (subscriber_id INT, subscription_start_date DATE, technology VARCHAR(50), subscription_fee DECIMAL(10, 2)); INSERT INTO subscriber_tech (subscriber_id, subscription_start_date, technology, subscription_fee) VALUES (1, '2020-01-01', 'Fiber', 50.00), (2, '2019-06-15', 'Cable', 40.00), (5, '20... | What is the average subscription fee for 'Fiber' technology in the 'subscriber_tech' table? | SELECT AVG(subscription_fee) as avg_fee FROM subscriber_tech WHERE technology = 'Fiber'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rd_expenditure (rd_site TEXT, therapeutic_area TEXT, expenditure INTEGER); INSERT INTO rd_expenditure (rd_site, therapeutic_area, expenditure) VALUES ('SiteA', 'oncology', 50000000), ('SiteB', 'oncology', 60000000), ('SiteC', 'oncology', 45000000), ('SiteD', 'oncology', 70000000), ('SiteE', 'oncology', 550... | Which R&D sites have the highest total R&D expenditure for oncology drugs? | SELECT rd_site, SUM(expenditure) as total_expenditure FROM rd_expenditure WHERE therapeutic_area = 'oncology' GROUP BY rd_site ORDER BY total_expenditure DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, program_category VARCHAR(255), amount DECIMAL(10, 2)); INSERT INTO donations (id, program_category, amount) VALUES (1, 'Education', 5000), (2, 'Health', 7000), (3, 'Education', 3000), (4, 'Health', 8000), (5, 'Environment', 6000); | What are the total donation amounts by program category? | SELECT program_category, SUM(amount) AS total_donation FROM donations GROUP BY program_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, Continent TEXT, Amount DECIMAL(10,2)); INSERT INTO Donors (DonorID, DonorName, Continent, Amount) VALUES (1, 'DonorD', 'Africa', 1200.00), (2, 'DonorE', 'Europe', 2200.00); | Add a new donor, DonorI from Oceania with a donation of 2750.00 | INSERT INTO Donors (DonorName, Continent, Amount) VALUES ('DonorI', 'Oceania', 2750.00); | gretelai_synthetic_text_to_sql |
CREATE TABLE gulf_of_mexico (id INT, well_name VARCHAR(255), drill_date DATE, production_oil INT); | How many wells were drilled in the Gulf of Mexico before 2010, and what is the total amount of oil they produced? | SELECT COUNT(*) as total_wells, SUM(production_oil) as total_oil_produced FROM gulf_of_mexico WHERE drill_date < '2010-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE accidents (id INT, site_name VARCHAR(50), date DATE, accident_type VARCHAR(50)); INSERT INTO accidents (id, site_name, date, accident_type) VALUES (1, 'Site X', '2018-03-15', 'Explosion'); | What is the number of mining accidents caused by 'explosions' in the 'Europe' region, in the last 5 years? | SELECT COUNT(*) AS accidents_count FROM accidents WHERE site_name LIKE 'Europe' AND accident_type = 'Explosion' AND date >= DATE_SUB(CURDATE(), INTERVAL 5 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_finance(project_name TEXT, region TEXT, source TEXT, budget FLOAT); INSERT INTO climate_finance(project_name, region, source, budget) VALUES ('Project V', 'Canada', 'Government Grant', 500000.00), ('Project W', 'USA', 'Private Investment', 600000.00), ('Project X', 'Canada', 'Carbon Tax', 700000.00... | What is the total budget for climate finance sources used for projects in North America, and the number of unique sources? | SELECT SUM(budget), COUNT(DISTINCT source) FROM climate_finance WHERE region = 'North America'; | 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, project_region VARCHAR(50)); INSERT INTO DefenseProjects (project_id, project_name, start_date, end_date, negotiation_status, geopolitical_risk_score, proj... | List the defense projects and their respective start and end dates, along with the contract negotiation status, that have a geopolitical risk score above 6, ordered by the geopolitical risk score in descending order, for projects in the Asia region. | SELECT project_name, start_date, end_date, negotiation_status, geopolitical_risk_score FROM DefenseProjects WHERE geopolitical_risk_score > 6 AND project_region = 'Asia' ORDER BY geopolitical_risk_score DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (id INT, name VARCHAR(255), city VARCHAR(255), score INT); INSERT INTO restaurants (id, name, city, score) VALUES (1, 'Restaurant A', 'City A', 90), (2, 'Restaurant B', 'City B', 85), (3, 'Restaurant C', 'City A', 95); | Determine the average food safety inspection scores for restaurants in each city. | SELECT city, AVG(score) FROM restaurants GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, name VARCHAR(255)); INSERT INTO products (product_id, name) VALUES (1, 'Pre-rolls'); CREATE TABLE dispensaries (dispensary_id INT, name VARCHAR(255)); INSERT INTO dispensaries (dispensary_id, name) VALUES (3, 'Sunshine'); CREATE TABLE sales (sale_id INT, product_id INT, dispensary... | How many times was 'Pre-rolls' product sold in 'Sunshine' dispensary in April 2022? | SELECT SUM(quantity) FROM sales WHERE product_id = (SELECT product_id FROM products WHERE name = 'Pre-rolls') AND dispensary_id = (SELECT dispensary_id FROM dispensaries WHERE name = 'Sunshine') AND sale_date BETWEEN '2022-04-01' AND '2022-04-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE building_permits (permit_id INT, city VARCHAR(20), year INT, permits_issued INT); INSERT INTO building_permits (permit_id, city, year, permits_issued) VALUES (1, 'Seattle', 2020, 5000), (2, 'Seattle', 2019, 4500), (3, 'New York', 2020, 7000), (4, 'Los Angeles', 2020, 6000); | What is the average number of building permits issued per year in the city of New York? | SELECT city, AVG(permits_issued) FROM building_permits WHERE city = 'New York' GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE shared_bikes (bike_id INT, city VARCHAR(20), is_electric BOOLEAN); INSERT INTO shared_bikes (bike_id, city, is_electric) VALUES (1, 'New York', true), (2, 'Chicago', true), (3, 'New York', false); | Update the is_electric column to false for all records in the shared_bikes table in New York. | UPDATE shared_bikes SET is_electric = false WHERE city = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE DailyStreams (StreamID int, SongID int, StreamCount int, StreamDate date); INSERT INTO DailyStreams (StreamID, SongID, StreamCount, StreamDate) VALUES (1, 1, 1000, '2023-02-01'), (2, 2, 2000, '2023-02-02'), (3, 3, 1500, '2023-02-03'); | What is the average number of streams per day for each song? | SELECT Songs.SongName, AVG(DailyStreams.StreamCount) as AverageStreamsPerDay FROM Songs INNER JOIN DailyStreams ON Songs.SongID = DailyStreams.SongID GROUP BY Songs.SongName; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, has_ptsd BOOLEAN, treatment_date DATE, country VARCHAR(50)); INSERT INTO patients (patient_id, has_ptsd, treatment_date, country) VALUES (1, TRUE, '2022-01-01', 'Germany'), (2, FALSE, '2021-12-25', 'Germany'), (3, TRUE, '2022-03-15', 'Canada'); | How many patients with PTSD were treated in Germany in the last 6 months? | SELECT COUNT(*) FROM patients WHERE has_ptsd = TRUE AND treatment_date >= '2021-07-01' AND country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE FarmLocation (LocationID INT, FarmName VARCHAR(50), Country VARCHAR(50), AvgStockLevel DECIMAL(5,2)); INSERT INTO FarmLocation (LocationID, FarmName, Country, AvgStockLevel) VALUES (1, 'FishFirst Farm', 'United States', 450.00); INSERT INTO FarmLocation (LocationID, FarmName, Country, AvgStockLevel) VALUES... | List the top 3 countries with the highest average fish stock levels. | SELECT Country, AvgStockLevel FROM FarmLocation ORDER BY AvgStockLevel DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE workouts (id INT, workout_date DATE, activity_type VARCHAR(50), duration INT); INSERT INTO workouts (id, workout_date, activity_type, duration) VALUES (1, '2022-01-01', 'strength', 60), (2, '2022-01-02', 'cardio', 45), (3, '2022-01-03', 'strength', 75), (4, '2022-01-04', 'yoga', 60), (5, '2022-01-05', 'str... | What is the total number of 'strength' workouts for each day of the week in January 2022? | SELECT DATE_FORMAT(workout_date, '%W') AS day_of_week, COUNT(*) AS total_workouts FROM workouts WHERE activity_type = 'strength' AND DATE_FORMAT(workout_date, '%Y-%m') = '2022-01' GROUP BY day_of_week; | gretelai_synthetic_text_to_sql |
CREATE TABLE incident_resolution (id INT, timestamp TIMESTAMP, category VARCHAR(255), incident_type VARCHAR(255), resolution_time INT); INSERT INTO incident_resolution (id, timestamp, category, incident_type, resolution_time) VALUES (1, '2022-04-01 10:00:00', 'Phishing', 'Insider Threats', 120), (2, '2022-04-01 10:00:0... | Display the total number of security incidents and their respective resolution times for each category in the last quarter. | SELECT category, incident_type, SUM(resolution_time) as total_resolution_time, COUNT(*) as incident_count FROM incident_resolution WHERE timestamp >= DATE_SUB(CURRENT_TIMESTAMP, INTERVAL 3 MONTH) GROUP BY category, incident_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE shipments (id INT, origin_country VARCHAR(255), destination_continent VARCHAR(255), weight FLOAT); INSERT INTO shipments (id, origin_country, destination_continent, weight) VALUES (1, 'India', 'Asia', 800.0), (2, 'India', 'Europe', 900.0); CREATE TABLE countries (country VARCHAR(255), continent VARCHAR(255... | What is the total weight of shipments from a given country to each continent? | SELECT origin_country, destination_continent, SUM(weight) as total_weight FROM shipments JOIN countries ON origin_country = country GROUP BY origin_country, destination_continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_deployment (id INT, satellite_name VARCHAR(255), satellite_type VARCHAR(255), country VARCHAR(255), launch_date DATE); | Delete all records in the satellite_deployment table where satellite_type is 'LEO' and country is 'USA' | DELETE FROM satellite_deployment WHERE satellite_type = 'LEO' AND country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (id INT, name VARCHAR(50), region VARCHAR(50)); INSERT INTO countries (id, name, region) VALUES (1, 'Germany', 'DACH'), (2, 'Austria', 'DACH'), (3, 'Switzerland', 'DACH'); CREATE TABLE videos (id INT, type VARCHAR(50)); INSERT INTO videos (id, type) VALUES (1, 'News'), (2, 'Entertainment'); CREAT... | What is the average watch time of news videos in the DACH region (Germany, Austria, Switzerland)? | SELECT AVG(uvv.watch_time) as avg_watch_time FROM user_video_view uvv JOIN videos v ON uvv.video_id = v.id JOIN (SELECT id FROM countries WHERE region = 'DACH') c ON 1=1 WHERE v.type = 'News'; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage (year INT, sector VARCHAR(20), usage INT); INSERT INTO water_usage (year, sector, usage) VALUES (2020, 'residential', 12000), (2020, 'commercial', 15000), (2020, 'industrial', 20000), (2021, 'residential', 11000), (2021, 'commercial', 14000), (2021, 'industrial', 18000); | What is the average water usage in the commercial sector over the past two years? | SELECT AVG(usage) FROM water_usage WHERE sector = 'commercial' AND year IN (2020, 2021); | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (id INT PRIMARY KEY, name VARCHAR(50), city VARCHAR(50), mascot VARCHAR(50)); | Add a new 'team' record for 'San Francisco Green' | INSERT INTO teams (id, name, city, mascot) VALUES (101, 'San Francisco Green', 'San Francisco', 'Green Dragons'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Farm ( FarmID INT, FarmName VARCHAR(255) ); CREATE TABLE Stock ( StockID INT, FarmID INT, FishSpecies VARCHAR(255), Weight DECIMAL(10,2), StockDate DATE ); INSERT INTO Farm (FarmID, FarmName) VALUES (1, 'Farm A'), (2, 'Farm B'), (3, 'Farm C'), (4, 'Farm D'); INSERT INTO Stock (StockID, FarmID, FishSpecies,... | Identify the top 2 aquaculture farms with the highest biomass of fish in a given year? | SELECT FarmName, SUM(Weight) OVER (PARTITION BY FarmID) as TotalBiomass, RANK() OVER (ORDER BY SUM(Weight) DESC) as Rank FROM Stock JOIN Farm ON Stock.FarmID = Farm.FarmID WHERE DATE_TRUNC('year', StockDate) = 2022 GROUP BY FarmName, TotalBiomass HAVING Rank <= 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, restaurant_id INT, sales DECIMAL(5,2)); INSERT INTO sales (id, restaurant_id, sales) VALUES (1, 1, 100.00), (2, 1, 200.00), (3, 2, 150.00), (4, 3, 50.00), (5, 4, 300.00); | What is the daily revenue for 'Restaurant D'? | SELECT SUM(sales) FROM sales WHERE restaurant_id = 4 GROUP BY DATE(time); | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, volunteer_name TEXT, city TEXT); CREATE TABLE program_assignments (program_id INT, program_name TEXT, volunteer_id INT); | Identify the total number of volunteers and their assigned programs by city from 'volunteers' and 'program_assignments' tables | SELECT volunteers.city, COUNT(DISTINCT volunteers.volunteer_id) as total_volunteers, COUNT(program_assignments.program_id) as assigned_programs FROM volunteers LEFT JOIN program_assignments ON volunteers.volunteer_id = program_assignments.volunteer_id GROUP BY volunteers.city; | gretelai_synthetic_text_to_sql |
CREATE TABLE incidents (id INT, department VARCHAR(255), incident_date DATE); INSERT INTO incidents (id, department, incident_date) VALUES (1, 'HR', '2022-01-15'), (2, 'IT', '2022-02-20'), (3, 'HR', '2022-03-05'); SELECT CURDATE(), DATE_SUB(CURDATE(), INTERVAL 3 MONTH) INTO @current_date, @start_date; SELECT COUNT(*) F... | What is the total number of security incidents in the last quarter for the HR department? | SELECT COUNT(*) FROM incidents WHERE department = 'HR' AND incident_date BETWEEN DATE_SUB(CURDATE(), INTERVAL 3 MONTH) AND CURDATE(); | gretelai_synthetic_text_to_sql |
CREATE TABLE company_founding (company_name VARCHAR(255), founder_minority VARCHAR(10)); INSERT INTO company_founding VALUES ('Acme Inc', 'Yes'); INSERT INTO company_founding VALUES ('Beta Corp', 'No'); INSERT INTO company_founding VALUES ('Charlie LLC', 'Yes'); INSERT INTO company_founding VALUES ('Delta Co', 'No'); | Count the number of companies founded by underrepresented minorities | SELECT COUNT(*) FROM company_founding WHERE company_founding.founder_minority = 'Yes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE yield_data (harvest_date DATE, crop_type TEXT, yield_per_acre FLOAT); INSERT INTO yield_data (harvest_date, crop_type, yield_per_acre) VALUES ('2021-11-01', 'Corn', 180), ('2021-11-01', 'Soybeans', 60), ('2021-12-01', 'Corn', 190); | Show yield data for the past harvest season | SELECT yield_per_acre FROM yield_data WHERE harvest_date >= DATE(NOW()) - INTERVAL 1 YEAR; | gretelai_synthetic_text_to_sql |
CREATE TABLE construction_labor (worker_id INT, hours_worked INT); | Delete the construction labor record for worker with ID 5678 | DELETE FROM construction_labor WHERE worker_id = 5678; | gretelai_synthetic_text_to_sql |
CREATE TABLE underwater_canyons (canyon_name TEXT, max_depth_m INT); INSERT INTO underwater_canyons (canyon_name, max_depth_m) VALUES ('Milwaukee Deep', 8380), ('Sirena Deep', 9816), ('Tonga Trench', 10882); | What is the maximum depth recorded for any underwater canyon? | SELECT MAX(max_depth_m) FROM underwater_canyons; | gretelai_synthetic_text_to_sql |
CREATE TABLE country_streams (stream_id INT, country VARCHAR(255), user_id INT, streams_amount INT); | What is the average number of streams per user in each country? | SELECT country, AVG(streams_amount) FROM country_streams GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_events (id INT, name VARCHAR(255), state VARCHAR(255), attendance INT); | What is the maximum and minimum number of attendees at cultural events in each state, grouped by state? | SELECT state, MAX(attendance) AS max_attendance, MIN(attendance) AS min_attendance FROM cultural_events GROUP BY state; | gretelai_synthetic_text_to_sql |
athlete_demographics | Show average age of athletes by sport | SELECT sport, AVG(age) as avg_age FROM athlete_demographics GROUP BY sport; | gretelai_synthetic_text_to_sql |
CREATE TABLE FairTradeCoffee (id INT, origin VARCHAR(50), year INT, quantity INT); INSERT INTO FairTradeCoffee (id, origin, year, quantity) VALUES (1, 'Colombia', 2019, 1000), (2, 'Colombia', 2020, 1500), (3, 'Ethiopia', 2019, 800), (4, 'Ethiopia', 2020, 1200); | Get the number of fair-trade coffee beans imported from Colombia in 2020. | SELECT COUNT(*) FROM FairTradeCoffee WHERE origin = 'Colombia' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE cause_percentage (cause VARCHAR(50), country VARCHAR(50), donation DECIMAL(10,2)); INSERT INTO cause_percentage (cause, country, donation) VALUES ('Global Health', 'Brazil', 3000.00), ('Education', 'Argentina', 4000.00), ('Environment', 'Mexico', 5000.00), ('Animal Welfare', 'Colombia', 6000.00); | What is the percentage of total donations made by each cause in Latin America? | SELECT cause, (SUM(donation) / (SELECT SUM(donation) FROM cause_percentage WHERE country IN ('Brazil', 'Argentina', 'Mexico', 'Colombia'))) * 100 AS percentage FROM cause_percentage WHERE country IN ('Brazil', 'Argentina', 'Mexico', 'Colombia') GROUP BY cause; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name TEXT); CREATE TABLE user_actions (id INT, user_id INT, action TEXT, album_id INT, platform TEXT); CREATE TABLE albums (id INT, title TEXT, artist_id INT, platform TEXT); CREATE TABLE artists (id INT, name TEXT); CREATE VIEW taylor_swift_users AS SELECT DISTINCT user_id FROM user_actions... | Find the number of unique users who have streamed or downloaded music by the artist 'Taylor Swift'. | SELECT COUNT(DISTINCT user_id) FROM taylor_swift_users; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales_data (sale_id INT, product VARCHAR(255), country VARCHAR(255), sales FLOAT); INSERT INTO sales_data (sale_id, product, country, sales) VALUES (1, 'ProductA', 'USA', 4000), (2, 'ProductB', 'Brazil', 5000), (3, 'ProductC', 'India', 6000), (4, 'ProductD', 'China', 7000); | What are the sales figures for each country? | SELECT country, SUM(sales) FROM sales_data GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (program_id INT, budget DECIMAL(10,2), start_date DATE); | Add a new program with program_id 201 and a budget of 12000 starting from 2022-01-01. | INSERT INTO Programs (program_id, budget, start_date) VALUES (201, 12000, '2022-01-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE readers (id INT, age INT, gender VARCHAR(10), country VARCHAR(50), news_preference VARCHAR(50)); INSERT INTO readers (id, age, gender, country, news_preference) VALUES (1, 50, 'Male', 'Australia', 'Political'), (2, 30, 'Female', 'Australia', 'Political'); | Find the difference between the maximum and minimum age of readers who prefer political news in Australia. | SELECT MAX(age) - MIN(age) diff FROM readers WHERE country = 'Australia' AND news_preference = 'Political'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name VARCHAR(255), imo INT); CREATE TABLE inspections (id INT, vessel_id INT, inspection_date DATE); | What is the average time between inspections per vessel? | SELECT v.name, AVG(DATEDIFF(i2.inspection_date, i.inspection_date)) as avg_time_between_inspections FROM inspections i JOIN inspections i2 ON i.vessel_id = i2.vessel_id AND i.id < i2.id JOIN vessels v ON i.vessel_id = v.id GROUP BY v.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Astronauts (AstronautID INT, Name VARCHAR(50), Nationality VARCHAR(50));CREATE TABLE MedicalCheckups (CheckupID INT, AstronautID INT, Date DATE); INSERT INTO Astronauts (AstronautID, Name, Nationality) VALUES (1, 'Rajesh Kumar', 'India'), (2, 'Kavita Patel', 'India'); INSERT INTO MedicalCheckups (CheckupID... | How many medical checkups did astronauts from India have before their space missions? | SELECT COUNT(m.CheckupID) FROM MedicalCheckups m INNER JOIN Astronauts a ON m.AstronautID = a.AstronautID WHERE a.Nationality = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE digital_assets (id INT, name VARCHAR, issue_country VARCHAR); INSERT INTO digital_assets (id, name, issue_country) VALUES (1, 'CryptoCoin', 'United States'), (2, 'DigiToken', 'Japan'), (3, 'BitAsset', 'China'), (4, 'EtherCoin', 'China'), (5, 'RippleToken', 'India'), (6, 'LiteCoin', 'Canada'), (7, 'MoneroCo... | Find the top 3 countries with the most digital assets issued. | SELECT issue_country, COUNT(*) as num_assets FROM digital_assets GROUP BY issue_country ORDER BY num_assets DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(255), region VARCHAR(50), sales FLOAT, certified_cruelty_free BOOLEAN); INSERT INTO products (product_id, product_name, region, sales, certified_cruelty_free) VALUES (1, 'Lipstick A', 'Europe', 5000, true), (2, 'Foundation B', 'Asia', 7000, false), (3, 'Mascar... | What are the top 3 cruelty-free certified cosmetic products by sales in the European market? | SELECT product_name, sales FROM products WHERE region = 'Europe' AND certified_cruelty_free = true ORDER BY sales DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE revenue(id INT, contractor VARCHAR(50), revenue NUMERIC, quarter INT); | What was the total military equipment sales revenue for contractor Z in Q2 2022? | SELECT SUM(revenue) FROM revenue WHERE contractor = 'Z' AND quarter = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_acidification_indian (location text, level numeric); INSERT INTO ocean_acidification_indian (location, level) VALUES ('Indian Ocean', 8.1), ('Southern Ocean', 8.2); | What is the minimum ocean acidification level in the Indian Ocean? | SELECT MIN(level) FROM ocean_acidification_indian WHERE location = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ResearchExpeditions(expedition VARCHAR(50), co2_emission FLOAT);INSERT INTO ResearchExpeditions(expedition, co2_emission) VALUES('Expedition 1', 10000.0), ('Expedition 2', 15000.0), ('Expedition 3', 20000.0), ('Expedition 4', 12000.0); | What is the total CO2 emission for each research expedition? | SELECT expedition, SUM(co2_emission) FROM ResearchExpeditions GROUP BY expedition; | gretelai_synthetic_text_to_sql |
CREATE TABLE initiatives (initiative_name VARCHAR(50), region VARCHAR(50), budget INT); INSERT INTO initiatives (initiative_name, region, budget) VALUES ('Waste to Energy', 'South', 2000000), ('Recycling', 'South', 2500000), ('Composting', 'South', 1500000); | Identify the circular economy initiatives that have a higher budget allocation than 'Waste to Energy' program in the 'South' region. | SELECT initiative_name, budget FROM initiatives WHERE region = 'South' AND budget > (SELECT budget FROM initiatives WHERE initiative_name = 'Waste to Energy') AND initiative_name != 'Waste to Energy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, PlayerAge INT, GameName VARCHAR(255), Country VARCHAR(255)); INSERT INTO Players (PlayerID, PlayerAge, GameName, Country) VALUES (1, 22, 'Space Conquerors', 'India'); INSERT INTO Players (PlayerID, PlayerAge, GameName, Country) VALUES (2, 28, 'Space Conquerors', 'United States'); | What is the average age of players who have played 'Space Conquerors' and are from India? | SELECT AVG(PlayerAge) FROM (SELECT PlayerAge FROM Players WHERE GameName = 'Space Conquerors' AND Country = 'India') AS Subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE movie_budget (id INT, movie TEXT, director TEXT, budget INT); INSERT INTO movie_budget (id, movie, director, budget) VALUES (1, 'Movie4', 'Director1', 1000000); INSERT INTO movie_budget (id, movie, director, budget) VALUES (2, 'Movie5', 'Director2', 1200000); INSERT INTO movie_budget (id, movie, director, ... | What is the total production budget for movies by director? | SELECT director, SUM(budget) as total_budget FROM movie_budget GROUP BY director; | gretelai_synthetic_text_to_sql |
CREATE TABLE refugees (id INT PRIMARY KEY, name VARCHAR(50), arrival_date DATE, region VARCHAR(50)); INSERT INTO refugees (id, name, arrival_date, region) VALUES (1, 'Ahmed', '2020-01-01', 'Middle East'), (2, 'Sofia', '2020-05-10', 'Europe'), (3, 'Hiroshi', '2019-12-31', 'Asia'); | How many refugees arrived in each region in 2020? | SELECT region, COUNT(*) as num_refugees FROM refugees WHERE YEAR(arrival_date) = 2020 GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (year INT, region VARCHAR(10), element VARCHAR(10), quantity INT); INSERT INTO production (year, region, element, quantity) VALUES (2015, 'Oceania', 'Yttrium', 1200), (2016, 'Oceania', 'Yttrium', 1400), (2017, 'Oceania', 'Yttrium', 1500), (2018, 'Oceania', 'Yttrium', 1700), (2019, 'Oceania', 'Yt... | What was the average Yttrium production in Oceania between 2016 and 2018? | SELECT AVG(quantity) FROM production WHERE element = 'Yttrium' AND region = 'Oceania' AND year BETWEEN 2016 AND 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vehicles (Id INT, Name TEXT, Type TEXT, SafetyRating INT, ReleaseDate DATE); | Insert a new record for the 2022 Tesla Model X with a safety rating of 5 and a release date of 2022-02-22. | INSERT INTO Vehicles (Name, Type, SafetyRating, ReleaseDate) VALUES ('2022 Tesla Model X', 'Electric', 5, '2022-02-22'); | gretelai_synthetic_text_to_sql |
CREATE TABLE shared_ev (vehicle_id INT, trip_id INT, trip_start_time TIMESTAMP, trip_end_time TIMESTAMP, start_latitude DECIMAL(9,6), start_longitude DECIMAL(9,6), end_latitude DECIMAL(9,6), end_longitude DECIMAL(9,6), distance DECIMAL(10,2), max_speed DECIMAL(5,2)); | What is the maximum speed reached by an electric vehicle in a shared fleet in San Francisco? | SELECT MAX(max_speed) FROM shared_ev WHERE start_longitude BETWEEN -122.6 AND -121.9 AND start_latitude BETWEEN 37.6 AND 38.1; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholders (id INT, name TEXT, state TEXT); CREATE TABLE policies (id INT, policyholder_id INT, issue_date DATE, claim_amount FLOAT); INSERT INTO policyholders (id, name, state) VALUES (1, 'Sophia Thompson', 'MI'); INSERT INTO policies (id, policyholder_id, issue_date, claim_amount) VALUES (1, 1, '2019-... | Find the total claim amount for policyholders in 'Michigan' who have policies issued in 2019 and having a claim amount greater than $750. | SELECT SUM(claim_amount) FROM policies INNER JOIN policyholders ON policies.policyholder_id = policyholders.id WHERE issue_date >= '2019-01-01' AND issue_date < '2020-01-01' AND claim_amount > 750 AND policyholders.state = 'MI'; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouses (id INT, warehouse_name VARCHAR(50), country VARCHAR(50), capacity INT, current_inventory INT); | Add a new record to the "warehouses" table with the following data: warehouse_name = "Mumbai Warehouse", country = "India", capacity = 5000, and current_inventory = 3000 | INSERT INTO warehouses (id, warehouse_name, country, capacity, current_inventory) VALUES (1, 'Mumbai Warehouse', 'India', 5000, 3000); | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (id INT PRIMARY KEY, program_name VARCHAR(255), region_id INT, is_financial_wellbeing BOOLEAN, monthly_cost DECIMAL(5,2)); CREATE TABLE regions (id INT PRIMARY KEY, name VARCHAR(255), country VARCHAR(255)); CREATE VIEW program_views AS SELECT programs.id, programs.program_name, programs.region_id,... | List the financial wellbeing programs in Africa with the lowest average monthly cost. | SELECT program_views.program_name, program_views.monthly_cost FROM program_views WHERE program_views.is_financial_wellbeing = TRUE AND regions.country = 'Africa' ORDER BY program_views.monthly_cost ASC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_resources (id INT, quantity INT, country TEXT, half INT, year INT); INSERT INTO water_resources (id, quantity, country, half, year) VALUES (1, 600, 'Syria', 1, 2021), (2, 400, 'Syria', 2, 2021), (3, 500, 'Syria', 1, 2021); | How many water resources were distributed in Syria in H1 2021? | SELECT SUM(quantity) FROM water_resources WHERE country = 'Syria' AND half = 1 AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name TEXT, founder TEXT, country TEXT, funding FLOAT); INSERT INTO startups (id, name, founder, country, funding) VALUES (1, 'Acme', 'John Doe', 'USA', 500000.00); INSERT INTO startups (id, name, founder, country, funding) VALUES (2, 'Beta Corp', 'Jane Smith', 'Canada', 750000.00); INSERT... | What is the total funding for startups founded by individuals from each country? | SELECT country, SUM(funding) FROM startups GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_prices (region TEXT, price FLOAT); INSERT INTO carbon_prices (region, price) VALUES ('European Union Emissions Trading System', 25.0); | What is the carbon price in the European Union Emissions Trading System? | SELECT price FROM carbon_prices WHERE region = 'European Union Emissions Trading System'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_research_projects (id INT PRIMARY KEY, project_name VARCHAR(255), region VARCHAR(255)); | Add a new marine research project in the Atlantic Ocean | INSERT INTO marine_research_projects (id, project_name, region) VALUES (1, 'Exploring Atlantic Depths', 'Atlantic Ocean'); | gretelai_synthetic_text_to_sql |
CREATE TABLE public_libraries (library_id INT, library_name TEXT, city TEXT, state TEXT, wi_fi_access BOOLEAN); INSERT INTO public_libraries (library_id, library_name, city, state, wi_fi_access) VALUES (1, 'Seattle Central Library', 'Seattle', 'Washington', TRUE); INSERT INTO public_libraries (library_id, library_name,... | What is the number of public libraries in Seattle, Washington that offer free Wi-Fi access? | SELECT COUNT(*) FROM public_libraries WHERE city = 'Seattle' AND state = 'Washington' AND wi_fi_access = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intelligence (id INT, date DATE, source VARCHAR(20), category VARCHAR(20), country VARCHAR(20)); INSERT INTO threat_intelligence (id, date, source, category, country) VALUES (1, '2021-01-01', 'internal', 'malware', 'Russia'); INSERT INTO threat_intelligence (id, date, source, category, country) VALU... | What is the number of external threat intelligence sources, by category and country? | SELECT category, country, COUNT(*) as external_count FROM threat_intelligence WHERE source = 'external' GROUP BY category, country; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (id INT, name VARCHAR(255), category VARCHAR(255), carbon_offsets FLOAT, budget FLOAT); INSERT INTO green_buildings (id, name, category, carbon_offsets, budget) VALUES (1, 'Solar Tower 1', 'solar', 500.0, 4000000.0); INSERT INTO green_buildings (id, name, category, carbon_offsets, budget) V... | Calculate the average carbon offset for each green building project category, excluding projects with a budget over 5 million? | SELECT category, AVG(carbon_offsets) AS avg_carbon_offsets FROM green_buildings WHERE budget <= 5000000 GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_stats (destination VARCHAR(255), year INT, visitors INT); INSERT INTO tourism_stats (destination, year, visitors) VALUES ('Japan', 2019, 15000000), ('Canada', 2019, 23000000), ('France', 2019, 24000000); | List the destinations that had more visitors than the average number of visitors in 2019 | SELECT destination FROM tourism_stats WHERE visitors > (SELECT AVG(visitors) FROM tourism_stats WHERE year = 2019); | gretelai_synthetic_text_to_sql |
CREATE TABLE TicketSales (TicketID INT, GameID INT, Team VARCHAR(20), SaleDate DATE, Quantity INT); INSERT INTO TicketSales (TicketID, GameID, Team, SaleDate, Quantity) VALUES (1, 1, 'Bears', '2023-07-01', 600); | How many tickets were sold for the away games of the 'Bears' in the second half of the 2023 season? | SELECT SUM(Quantity) FROM TicketSales WHERE Team = 'Bears' AND SaleDate BETWEEN '2023-07-01' AND '2023-12-31' AND GameID NOT IN (SELECT GameID FROM Game WHERE HomeTeam = 'Bears'); | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryTech (TechID INT, TechName VARCHAR(50), LastInspection DATE); INSERT INTO MilitaryTech (TechID, TechName, LastInspection) VALUES (1, 'Fighter Jet', '2022-02-01'), (2, 'Tank', '2022-03-10'), (3, 'Submarine', '2022-04-15'), (4, 'Radar System', '2022-05-20'), (5, 'Missile System', '2022-06-25'); | Update all military technology records with a last inspection date within the last month. | UPDATE MilitaryTech SET LastInspection = GETDATE() WHERE LastInspection >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE military_equipment_manufacturing (equipment_type VARCHAR(255), year INT, unit_count INT, manufacturer VARCHAR(255)); INSERT INTO military_equipment_manufacturing (equipment_type, year, unit_count, manufacturer) VALUES ('Tank', 2018, 200, 'General Dynamics'), ('Tank', 2019, 250, 'General Dynamics'), ('Tank'... | What is the number of military equipment units manufactured each year by company? | SELECT manufacturer, year, SUM(unit_count) FROM military_equipment_manufacturing GROUP BY manufacturer, year; | gretelai_synthetic_text_to_sql |
CREATE TABLE cargo ( id INT PRIMARY KEY, container_id INT, location VARCHAR(255), container_type VARCHAR(255) ); INSERT INTO cargo (id, container_id, location, container_type) VALUES (1, 101, 'Port A', 'reefer'), (2, 102, 'Port B', 'dry'), (3, 103, 'Port C', 'reefer'); | What are the names of the containers with a type of 'reefer' and their respective current location in the cargo table? | SELECT c.container_id, c.location, c.container_type FROM cargo c JOIN shipping_container sc ON c.container_id = sc.id WHERE c.container_type = 'reefer'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (event_id INT, category VARCHAR(255), price DECIMAL(5,2)); INSERT INTO Events (event_id, category, price) VALUES (1, 'Concert', 50.99), (2, 'Sports', 30.50), (3, 'Theater', 75.00); | What is the average ticket price for each event category? | SELECT category, AVG(price) FROM Events GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE police_interventions (id INT, borough VARCHAR(20), year INT, half INT, interventions INT); INSERT INTO police_interventions (id, borough, year, half, interventions) VALUES (1, 'Queens', 2021, 2, 80); INSERT INTO police_interventions (id, borough, year, half, interventions) VALUES (2, 'Queens', 2021, 2, 85)... | What is the total number of police interventions in the borough of Queens in the second half of 2021? | SELECT SUM(interventions) FROM police_interventions WHERE borough = 'Queens' AND year = 2021 AND half = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE canada_energy_production (year INT, production_quantity INT); INSERT INTO canada_energy_production (year, production_quantity) VALUES (2015, 50000), (2016, 55000), (2017, 60000), (2018, 65000), (2019, 70000), (2020, 75000); | What is the total energy production from renewable energy sources in Canada in 2020? | SELECT production_quantity FROM canada_energy_production WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE Space_Agencies (ID INT, Agency VARCHAR(50), Country VARCHAR(50), Total_Spacecraft INT); INSERT INTO Space_Agencies (ID, Agency, Country, Total_Spacecraft) VALUES (1, 'European Space Agency', 'Europe', 50), (2, 'National Aeronautics and Space Administration', 'USA', 200), (3, 'Roscosmos', 'Russia', 150), (4... | What is the total number of spacecraft launched by the European Space Agency? | SELECT Total_Spacecraft FROM Space_Agencies WHERE Agency = 'European Space Agency'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hashtags (id INT, hashtag VARCHAR(255), post_id INT, PRIMARY KEY (id)); INSERT INTO hashtags (id, hashtag, post_id) VALUES (1, '#tech', 5001), (2, '#food', 3002), (3, '#travel', 4003); | What was the most popular hashtag in the past week, and how many posts used it? | SELECT hashtag, COUNT(post_id) AS post_count FROM hashtags WHERE post_id IN (SELECT post_id FROM posts WHERE DATE(post_date) > DATE_SUB(CURRENT_DATE, INTERVAL 1 WEEK)) GROUP BY hashtag ORDER BY post_count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intel (ip_address VARCHAR(20), threat_level VARCHAR(20), last_seen DATE); INSERT INTO threat_intel (ip_address, threat_level, last_seen) VALUES ('192.168.1.1', 'low', '2021-03-01'), ('10.0.0.1', 'high', '2021-02-10'); | List all IP addresses and their threat levels from the last month | SELECT ip_address, threat_level FROM threat_intel WHERE last_seen >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE industrial_buildings (id INT, zip_code VARCHAR(10), state VARCHAR(50), energy_consumption FLOAT, building_age INT); INSERT INTO industrial_buildings (id, zip_code, state, energy_consumption, building_age) VALUES (1, '10001', 'New York', 5000, 5); INSERT INTO industrial_buildings (id, zip_code, state, energ... | What is the average energy consumption of industrial buildings in New York, grouped by zip code and building age? | SELECT zip_code, building_age, AVG(energy_consumption) AS avg_energy_consumption FROM industrial_buildings WHERE state = 'New York' GROUP BY zip_code, building_age; | gretelai_synthetic_text_to_sql |
CREATE TABLE deep_sea_expeditions (expedition_name TEXT, funding_org TEXT); INSERT INTO deep_sea_expeditions (expedition_name, funding_org) VALUES ('Atlantis Expedition', 'National Oceanic and Atmospheric Administration'), ('Triton Expedition', 'National Geographic'), ('Poseidon Expedition', 'Woods Hole Oceanographic I... | Show the total number of deep-sea expeditions funded by each organization. | SELECT funding_org, COUNT(*) FROM deep_sea_expeditions GROUP BY funding_org; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, customer_name VARCHAR(255)); CREATE TABLE menu_items (menu_item_id INT, menu_category VARCHAR(255), item_name VARCHAR(255), is_sustainable BOOLEAN); CREATE TABLE orders (order_id INT, customer_id INT, menu_item_id INT, order_date DATE, order_price INT); | List the top 5 customers by spending on sustainable ingredients? | SELECT c.customer_name, SUM(o.order_price) as total_spend FROM customers c JOIN orders o ON c.customer_id = o.customer_id JOIN menu_items mi ON o.menu_item_id = mi.menu_item_id WHERE mi.is_sustainable = TRUE GROUP BY c.customer_name ORDER BY total_spend DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name TEXT, country TEXT, hours_served INT); | What is the total number of volunteer hours served in Q2 of 2022? | SELECT SUM(hours_served) FROM volunteers WHERE QUARTER(volunteer_date) = 2 AND YEAR(volunteer_date) = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemical_sites (id INT, site_name VARCHAR(50), country VARCHAR(50), total_waste FLOAT); INSERT INTO chemical_sites (id, site_name, country, total_waste) VALUES (1, 'Site A', 'USA', 150.5), (2, 'Site B', 'Canada', 125.7), (3, 'Site C', 'USA', 200.3), (4, 'Site D', 'Mexico', 75.9); | What is the average chemical waste produced per site, partitioned by country and ordered by the highest average? | SELECT country, AVG(total_waste) as avg_waste FROM chemical_sites GROUP BY country ORDER BY avg_waste DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_education (id INT, name VARCHAR(50), city VARCHAR(50), state VARCHAR(2), country VARCHAR(50)); | Add data to 'community_education' table | INSERT INTO community_education (id, name, city, state, country) VALUES (1, 'GreenLife', 'San Juan', 'PR', 'Puerto Rico'); | gretelai_synthetic_text_to_sql |
CREATE TABLE subway_routes (region VARCHAR(10), num_routes INT); INSERT INTO subway_routes (region, num_routes) VALUES ('north', 12), ('south', 9), ('east', 8), ('west', 10), ('central', 15); | What is the average number of subway routes per region? | SELECT AVG(num_routes) FROM subway_routes; | gretelai_synthetic_text_to_sql |
CREATE TABLE ingredients (ingredient_id INT, name TEXT, sourcing_country TEXT, source_date DATE); INSERT INTO ingredients (ingredient_id, name, sourcing_country, source_date) VALUES (1, 'Water', 'China', '2021-01-01'), (2, 'Glycerin', 'France', '2021-02-15'), (3, 'Retinol', 'USA', '2020-12-10'); | Delete the records of ingredients that were sourced in China in 2021. | DELETE FROM ingredients WHERE sourcing_country = 'China' AND source_date >= '2021-01-01' AND source_date <= '2021-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE data_breaches (breach_id INT, sector TEXT, year INT); INSERT INTO data_breaches (breach_id, sector, year) VALUES (1, 'Retail', 2019), (2, 'Retail', 2020), (3, 'Financial', 2019), (4, 'Financial', 2020), (5, 'Healthcare', 2019); | How many data breaches occurred in the retail sector in 2019 and 2020? | SELECT sector, COUNT(*) FROM data_breaches WHERE sector = 'Retail' AND year IN (2019, 2020) GROUP BY sector; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (id INT, name VARCHAR(255)); INSERT INTO customers (id, name) VALUES (1, 'John Doe'), (2, 'Jane Smith'); CREATE TABLE orders (id INT, customer_id INT, dish_id INT); INSERT INTO orders (id, customer_id, dish_id) VALUES (1, 1, 1), (2, 1, 2), (3, 2, 2), (4, 2, 3); CREATE TABLE dishes (id INT, name V... | List all the customers who have ordered dishes from multiple cuisines. | SELECT DISTINCT o1.customer_id FROM orders o1 INNER JOIN orders o2 ON o1.customer_id = o2.customer_id WHERE o1.dish_id != o2.dish_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Gender VARCHAR(10), Department VARCHAR(20), Salary DECIMAL(10,2)); INSERT INTO Employees (EmployeeID, Gender, Department, Salary) VALUES (1, 'Male', 'IT', 70000.00), (2, 'Female', 'IT', 68000.00), (3, 'Female', 'IT', 72000.00); | What is the maximum salary for female employees in the IT department? | SELECT MAX(Salary) FROM Employees WHERE Gender = 'Female' AND Department = 'IT'; | gretelai_synthetic_text_to_sql |
CREATE TABLE City (id INT, name VARCHAR(50)); INSERT INTO City (id, name) VALUES (1, 'New York'); INSERT INTO City (id, name) VALUES (2, 'Los Angeles'); INSERT INTO City (id, name) VALUES (3, 'Delhi'); INSERT INTO City (id, name) VALUES (4, 'Mumbai'); INSERT INTO City (id, name) VALUES (5, 'Tokyo'); CREATE TABLE Policy... | Which policies were implemented in 'Delhi' or 'Mumbai' between 2018 and 2021? | SELECT name, start_date FROM Policy JOIN City ON Policy.city_id = City.id WHERE City.name IN ('Delhi', 'Mumbai') AND YEAR(start_date) BETWEEN 2018 AND 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE city_budgets (city varchar(50), year int, service varchar(50), budget int); INSERT INTO city_budgets (city, year, service, budget) VALUES ('Atlanta', 2022, 'Public Safety', 15000000), ('Atlanta', 2023, 'Public Safety', 16000000), ('Boston', 2022, 'Public Safety', 20000000), ('Boston', 2023, 'Public Safety'... | What is the average budget allocated for public safety in the cities of Atlanta, Boston, and Denver for the years 2022 and 2023? | SELECT AVG(budget) FROM city_budgets WHERE (city = 'Atlanta' OR city = 'Boston' OR city = 'Denver') AND service = 'Public Safety' AND (year = 2022 OR year = 2023); | gretelai_synthetic_text_to_sql |
CREATE TABLE turkey_factories (factory_id INT, factory_name VARCHAR(50), factory_size INT, co2_emission INT); INSERT INTO turkey_factories VALUES (1, 'Factory X', 10, 1200); INSERT INTO turkey_factories VALUES (2, 'Factory Y', 15, 1500); INSERT INTO turkey_factories VALUES (3, 'Factory Z', 20, 1800); | What is the average CO2 emission of textile factories in Turkey, grouped by factory size and sorted in ascending order? | SELECT factory_size, AVG(co2_emission) as avg_emission FROM turkey_factories GROUP BY factory_size ORDER BY avg_emission ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (city_name VARCHAR(255), budget INT); INSERT INTO cities (city_name, budget) VALUES ('Los Angeles', 1000000), ('New York', 2000000); | What is the total budget allocated for education and healthcare services in the city of Los Angeles? | SELECT SUM(budget) FROM cities WHERE city_name IN ('Los Angeles') AND service IN ('education', 'healthcare'); | gretelai_synthetic_text_to_sql |
CREATE TABLE DisasterTeams (Country VARCHAR(20), TeamID INT); INSERT INTO DisasterTeams (Country, TeamID) VALUES ('Afghanistan', 10), ('Syria', 15), ('Iraq', 20), ('Jordan', 25), ('Lebanon', 30); | How many disaster response teams are present in each country? | SELECT Country, COUNT(TeamID) as NumTeams FROM DisasterTeams GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE dissolved_oxygen (location VARCHAR(255), level FLOAT, date DATE); | What is the minimum dissolved oxygen level recorded in the Mediterranean Sea? | SELECT MIN(level) FROM dissolved_oxygen WHERE location = 'Mediterranean Sea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_costs_2 (project_id INT, project_type VARCHAR(20), city VARCHAR(20), year INT, cost FLOAT); INSERT INTO labor_costs_2 (project_id, project_type, city, year, cost) VALUES (13, 'Commercial', 'Miami', 2019, 250000), (14, 'Residential', 'Miami', 2020, 180000), (15, 'Commercial', 'Tampa', 2018, 220000); | What is the maximum labor cost for commercial construction projects in Miami, Florida in 2019? | SELECT MAX(cost) FROM labor_costs_2 WHERE project_type = 'Commercial' AND city = 'Miami' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID INT, EventName VARCHAR(20), EventCategory VARCHAR(20));CREATE TABLE FundingSources (FundingSourceID INT, FundingSourceName VARCHAR(20));CREATE TABLE EventFunding (EventID INT, FundingSourceID INT, FundingAmount INT);CREATE TABLE Attendees (AttendeeID INT, Age INT, EventID INT); | What is the average age of attendees at events in the 'Theater' category that received funding from 'Corporate Sponsors'? | SELECT AVG(A.Age) AS Avg_Age FROM Events E INNER JOIN EventFunding EF ON E.EventID = EF.EventID INNER JOIN FundingSources FS ON EF.FundingSourceID = FS.FundingSourceID INNER JOIN Attendees A ON E.EventID = A.EventID WHERE E.EventCategory = 'Theater' AND FS.FundingSourceName = 'Corporate Sponsors'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, customer_name VARCHAR(255), city VARCHAR(255)); CREATE TABLE transactions (transaction_id INT, customer_id INT, transaction_date DATE, transaction_value DECIMAL(10,2)); INSERT INTO customers (customer_id, customer_name, city) VALUES (1, 'John Doe', 'New York'), (2, 'Jane Smith',... | List the top 5 customers by transaction count and total transaction value in H1 2021. | SELECT c.customer_name, COUNT(t.transaction_id) as transaction_count, SUM(t.transaction_value) as total_transaction_value FROM customers c INNER JOIN transactions t ON c.customer_id = t.customer_id WHERE t.transaction_date BETWEEN '2021-01-01' AND '2021-06-30' GROUP BY c.customer_name ORDER BY transaction_count DESC, t... | gretelai_synthetic_text_to_sql |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.