context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28 values |
|---|---|---|---|
CREATE TABLE climate_adaptation (region VARCHAR(50), year INT, project_status VARCHAR(20)); INSERT INTO climate_adaptation (region, year, project_status) VALUES ('Latin America', 2015, 'completed'), ('Caribbean', 2015, 'completed'), ('Latin America', 2016, 'completed'), ('Caribbean', 2016, 'completed'), ('Latin America', 2017, 'completed'), ('Caribbean', 2017, 'completed'), ('Latin America', 2018, 'completed'), ('Caribbean', 2018, 'completed'), ('Latin America', 2019, 'completed'), ('Caribbean', 2019, 'completed'); | How many climate adaptation projects were completed in Latin America and the Caribbean between 2015 and 2019? | SELECT COUNT(*) FROM climate_adaptation WHERE region IN ('Latin America', 'Caribbean') AND year BETWEEN 2015 AND 2019 AND project_status = 'completed'; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (id INT, name VARCHAR(50), age INT); INSERT INTO players (id, name, age) VALUES (1, 'John Doe', 25); INSERT INTO players (id, name, age) VALUES (2, 'Jane Smith', 30); CREATE TABLE events (id INT, name VARCHAR(50), date DATE); INSERT INTO events (id, name, date) VALUES (1, 'GameCon', '2022-04-01'); INSERT INTO events (id, name, date) VALUES (2, 'TechFest', '2022-05-15'); | List the names of players who have played in esports events, in the last 3 months, in any country. | SELECT players.name FROM players INNER JOIN events ON players.id = events.id WHERE events.date >= DATEADD(month, -3, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, salesperson_id INT, amount DECIMAL(10, 2), status VARCHAR(50)); INSERT INTO transactions (transaction_id, salesperson_id, amount, status) VALUES (1, 1, 50.00, 'approved'), (2, 1, 100.00, 'declined'), (3, 2, 75.00, 'approved'); CREATE TABLE salespeople (salesperson_id INT, name VARCHAR(50)); INSERT INTO salespeople (salesperson_id, name) VALUES (1, 'John Doe'), (2, 'Jane Smith'); | What is the percentage of transactions that were declined for each salesperson? | SELECT s.name, (COUNT(t.transaction_id) * 100.0 / (SELECT COUNT(*) FROM transactions t2 WHERE t2.salesperson_id = s.salesperson_id)) AS percentage FROM salespeople s LEFT JOIN transactions t ON s.salesperson_id = t.salesperson_id AND t.status = 'declined' GROUP BY s.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE TransactionDates (TransactionID INT, TransactionDate DATE); INSERT INTO TransactionDates (TransactionID, TransactionDate) VALUES (1, '2022-01-01'), (2, '2022-01-15'), (3, '2022-02-03'), (4, '2022-02-20'); | Which customers have not made any transactions in the last 30 days? | SELECT c.CustomerID FROM Customers c LEFT JOIN TransactionDates t ON c.CustomerID = t.CustomerID WHERE t.TransactionDate IS NULL AND t.TransactionDate > NOW() - INTERVAL '30 days'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospital_beds (id INT, county TEXT, beds_per_capita FLOAT); INSERT INTO hospital_beds (id, county, beds_per_capita) VALUES (1, 'Los Angeles County', 2.5), (2, 'Orange County', 3.0); | What is the minimum number of hospital beds per capita in each county? | SELECT county, MIN(beds_per_capita) FROM hospital_beds GROUP BY county; | gretelai_synthetic_text_to_sql |
CREATE TABLE wells_drilled (country VARCHAR(50), well_id INT, drill_date DATE, offshore BOOLEAN); INSERT INTO wells_drilled (country, well_id, drill_date, offshore) VALUES ('Norway', 1, '2019-01-01', true); INSERT INTO wells_drilled (country, well_id, drill_date, offshore) VALUES ('USA', 2, '2018-12-31', true); INSERT INTO wells_drilled (country, well_id, drill_date, offshore) VALUES ('Brazil', 3, '2019-06-15', true); INSERT INTO wells_drilled (country, well_id, drill_date, offshore) VALUES ('Mexico', 4, '2019-07-20', true); INSERT INTO wells_drilled (country, well_id, drill_date, offshore) VALUES ('UK', 5, '2019-12-25', true); | Identify the top 2 countries with the highest number of offshore wells drilled in 2019 | SELECT country, COUNT(*) as num_wells FROM wells_drilled WHERE YEAR(drill_date) = 2019 AND offshore = true GROUP BY country ORDER BY num_wells DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name VARCHAR(255), country VARCHAR(255));CREATE TABLE donations (id INT, donor_id INT, cause_id INT, amount DECIMAL(10, 2));CREATE TABLE causes (id INT, name VARCHAR(255)); | What's the average donation amount for each cause? | SELECT c.name, AVG(d.amount) FROM donations d INNER JOIN causes c ON d.cause_id = c.id GROUP BY c.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE colombia_diplomacy (id INT, country VARCHAR(50), partner VARCHAR(50)); INSERT INTO colombia_diplomacy (id, country, partner) VALUES (1, 'Colombia', 'United States'), (2, 'Colombia', 'Brazil'), (3, 'Colombia', 'Ecuador'), (4, 'Colombia', 'Peru'); | Identify the defense diplomacy activities between Colombia and other countries. | SELECT DISTINCT partner FROM colombia_diplomacy WHERE country = 'Colombia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE states (state_name VARCHAR(255), solar_capacity FLOAT); INSERT INTO states (state_name, solar_capacity) VALUES ('California', 32722), ('Texas', 8807), ('Florida', 7256), ('North Carolina', 6321), ('Arizona', 5653); | What are the top 5 states with the highest installed solar capacity in the US? | SELECT state_name, SUM(solar_capacity) as total_capacity FROM states GROUP BY state_name ORDER BY total_capacity DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sales (SaleID INT, Song TEXT, Platform TEXT, Country TEXT, Revenue FLOAT); INSERT INTO Sales (SaleID, Song, Platform, Country, Revenue) VALUES (1, 'Despacito', 'iTunes', 'United States', 1.29), (2, 'Havana', 'iTunes', 'United States', 1.29); | What is the total revenue generated by Latin music on iTunes in the United States? | SELECT SUM(Revenue) FROM Sales WHERE Platform = 'iTunes' AND Country = 'United States' AND Genre = 'Latin'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mission_launch_dates (mission_name VARCHAR(50), launch_date DATE); | How many missions were launched per month in 2020? | SELECT EXTRACT(MONTH FROM launch_date) as month, COUNT(*) as num_missions FROM mission_launch_dates WHERE EXTRACT(YEAR FROM launch_date) = 2020 GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE offenders (id INT, age INT, gender VARCHAR(10), city VARCHAR(20)); INSERT INTO offenders (id, age, gender, city) VALUES (1, 34, 'Female', 'Oakland'), (2, 42, 'Male', 'San_Francisco'), (3, 25, 'Male', 'San_Francisco'), (4, 45, 'Female', 'San_Francisco'); CREATE TABLE crimes (id INT, type VARCHAR(20), city VARCHAR(20)); INSERT INTO crimes (id, type, city) VALUES (1, 'Property_Crime', 'Oakland'), (2, 'Violent_Crime', 'San_Francisco'), (3, 'Assault', 'Oakland'), (4, 'Violent_Crime', 'San_Francisco'); | What is the minimum age of male offenders who committed violent crimes in San Francisco? | SELECT MIN(age) FROM offenders JOIN crimes ON offenders.id = crimes.id WHERE gender = 'Male' AND type = 'Violent_Crime' AND city = 'San_Francisco'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (state VARCHAR(255), year INT, hospital_beds INT); INSERT INTO hospitals (state, year, hospital_beds) VALUES ('New York', 2022, 50000); | What is the total number of hospital beds available in the state of New York as of 2022? | SELECT SUM(hospital_beds) AS total_hospital_beds FROM hospitals WHERE state = 'New York' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE genetic_research (id INT PRIMARY KEY, name VARCHAR(255), description TEXT, active BOOLEAN); INSERT INTO genetic_research (id, name, description, active) VALUES (1, 'CRISPR Cas9', 'A genome editing tool', true), (2, 'Genetic Sequencing', 'Determining the order of nucleotides in DNA', true); | Delete genetic research data for a specific project that is no longer active | DELETE FROM genetic_research WHERE id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_equipment (id INT, country VARCHAR(50), cost FLOAT); INSERT INTO military_equipment (id, country, cost) VALUES (1, 'USA', 1500000); INSERT INTO military_equipment (id, country, cost) VALUES (2, 'USA', 1800000); | What is the average cost of military equipment maintenance in the US? | SELECT AVG(cost) FROM military_equipment WHERE country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE software (software_type VARCHAR(255), total_vulnerabilities INT); INSERT INTO software (software_type, total_vulnerabilities) VALUES ('Application', 100), ('Operating System', 200), ('Database', 150); | What is the total number of vulnerabilities for each software type, ordered by the highest number of vulnerabilities? | SELECT software_type, total_vulnerabilities FROM software ORDER BY total_vulnerabilities DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_items (item_id INT, item_name VARCHAR(50), category VARCHAR(20), region VARCHAR(20), price DECIMAL(5,2), sales INT); INSERT INTO menu_items (item_id, item_name, category, region, price, sales) VALUES (1, 'Vegetable Spring Rolls', 'Appetizers', 'APAC', 4.99, 300), (2, 'Spicy Tofu', 'Entrees', 'APAC', 12.99, 200), (3, 'Mango Sticky Rice', 'Desserts', 'APAC', 6.99, 250); | Determine the revenue generated by each menu category in the APAC region. | SELECT category, SUM(price * sales) AS revenue FROM menu_items WHERE region = 'APAC' GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE athletes (id INT, name VARCHAR(50), position VARCHAR(50), team VARCHAR(50), age INT); | Delete all records in the 'athletes' table where age is less than 20 | DELETE FROM athletes WHERE age < 20; | gretelai_synthetic_text_to_sql |
CREATE TABLE trips (trip_id INT, trip_start_time DATETIME, trip_end_time DATETIME, system_name VARCHAR(20)); | What was the earliest and latest time a ride ended for each system in June 2023? | SELECT system_name, MIN(trip_end_time) AS min_end_time, MAX(trip_end_time) AS max_end_time FROM trips WHERE system_name IN ('Bus', 'Subway', 'Tram') AND trip_end_time BETWEEN '2023-06-01' AND '2023-06-30' GROUP BY system_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE VeteranEmployment (ApplicationID INT, Applicant VARCHAR(50), Country VARCHAR(50)); INSERT INTO VeteranEmployment (ApplicationID, Applicant, Country) VALUES (1, 'John Doe', 'USA'), (2, 'Jane Smith', 'Canada'), (3, 'Michael Johnson', 'USA'); | Insert a new record for a veteran employment application from a new applicant in India? | INSERT INTO VeteranEmployment (ApplicationID, Applicant, Country) VALUES (4, 'Akshay Kumar', 'India'); | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (id INT, city VARCHAR(50), year INT, carbon_offsets FLOAT); | What is the average carbon offset of green buildings constructed in 2020 and 2021, grouped by city? | SELECT city, AVG(carbon_offsets) FROM green_buildings WHERE year IN (2020, 2021) GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE buildings(id INT, building_name VARCHAR(50), building_type VARCHAR(50));CREATE TABLE energy_efficiency(building_id INT, rating INT); | What is the average energy efficiency rating for each building type in the buildings and energy_efficiency tables, excluding buildings in the "Industrial" category? | SELECT b.building_type, AVG(e.rating) AS avg_rating FROM buildings b INNER JOIN energy_efficiency e ON b.id = e.building_id WHERE b.building_type != 'Industrial' GROUP BY b.building_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Hospital (Name TEXT, Region TEXT); INSERT INTO Hospital (Name, Region) VALUES ('Hospital A', 'Northeast'); INSERT INTO Hospital (Name, Region) VALUES ('Hospital B', 'South'); | How many hospitals are there in the Midwest region of the US? | SELECT COUNT(*) FROM Hospital WHERE Region = 'Midwest'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (product VARCHAR(50), units_produced INT, production_date DATE); | Update the production quantity for product "Gizmo Y" to 250 on 2022-06-15 in the "production" table | UPDATE production SET units_produced = 250 WHERE product = 'Gizmo Y' AND production_date = '2022-06-15'; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_education (id INT, program_name VARCHAR(50), enrollment INT); INSERT INTO community_education (id, program_name, enrollment) VALUES (1, 'Wildlife Conservation', 1500), (2, 'Biodiversity Awareness', 1200), (3, 'Climate Change Education', 1800); | Which community education program has the highest enrollment? | SELECT program_name, MAX(enrollment) FROM community_education; | gretelai_synthetic_text_to_sql |
CREATE TABLE support_programs (id INT, name TEXT, coordinator TEXT); | List all support programs and their respective coordinators, ordered alphabetically by support program name. | SELECT * FROM support_programs ORDER BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE policy_violations (id INT, policy VARCHAR(50), violations INT, year INT); | Which policies have had the most violations in the past year from the 'policy_violations' table? | SELECT policy, SUM(violations) FROM policy_violations WHERE year = YEAR(CURRENT_DATE) - 1 GROUP BY policy ORDER BY SUM(violations) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE mitigation_projects (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), description TEXT, start_date DATE, end_date DATE, budget FLOAT); INSERT INTO mitigation_projects (id, name, location, description, start_date, end_date, budget) VALUES (1, 'Solar Farm Installation', 'California', 'Installation of solar panels', '2018-01-01', '2019-12-31', 10000000); CREATE TABLE adaptation_projects (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), description TEXT, start_date DATE, end_date DATE, budget FLOAT); INSERT INTO adaptation_projects (id, name, location, description, start_date, end_date, budget) VALUES (1, 'Sea Wall Construction', 'Miami', 'Coastal protection for sea level rise', '2018-01-01', '2020-12-31', 5000000); | What was the total budget for all climate projects in '2018' from the 'mitigation_projects' and 'adaptation_projects' tables? | SELECT SUM(budget) FROM mitigation_projects WHERE start_date <= '2018-12-31' AND end_date >= '2018-01-01' UNION ALL SELECT SUM(budget) FROM adaptation_projects WHERE start_date <= '2018-12-31' AND end_date >= '2018-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Students(student_id INT, name TEXT);CREATE TABLE Programs(program_id INT, program_name TEXT);CREATE TABLE Student_Programs(student_id INT, program_id INT); | Which support programs have more than 20 students participating? | SELECT p.program_name FROM Programs p INNER JOIN Student_Programs sp ON p.program_id = sp.program_id GROUP BY p.program_name HAVING COUNT(DISTINCT sp.student_id) > 20; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, practice_area VARCHAR(20), billing_amount DECIMAL(10, 2), open_date DATE); INSERT INTO cases (case_id, practice_area, billing_amount, open_date) VALUES (1, 'Family Law', 2000, '2022-01-01'), (2, 'Criminal Law', 1500, '2022-03-15'), (3, 'Family Law', 3000, '2022-04-01'); | Find the total billing amount for cases in the 'Family Law' practice area that were opened in the first quarter of 2022? | SELECT SUM(billing_amount) FROM cases WHERE practice_area = 'Family Law' AND QUARTER(open_date) = 1 AND YEAR(open_date) = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage (region VARCHAR(255), source VARCHAR(255), date DATE, usage INT); INSERT INTO water_usage (region, source, date, usage) VALUES ('Eastern', 'River', '2020-01-01', 15000); | What is the average daily water usage for each water source in the eastern region in 2020?' | SELECT region, source, AVG(usage) FROM water_usage WHERE region = 'Eastern' AND YEAR(date) = 2020 GROUP BY region, source; | gretelai_synthetic_text_to_sql |
CREATE TABLE plants (id VARCHAR(10), name VARCHAR(50), location VARCHAR(50), type VARCHAR(50), emission_level VARCHAR(50)); INSERT INTO plants (id, name, location, type, emission_level) VALUES ('Plant_001', 'Coal Power Plant', 'Ohio', 'Power Plant', 'Medium'); INSERT INTO plants (id, name, location, type, emission_level) VALUES ('Plant_002', 'Gas Power Plant', 'Texas', 'Power Plant', 'Low'); | Update the 'emission_level' of the 'Coal Power Plant' record in the 'plants' table to 'High' | UPDATE plants SET emission_level = 'High' WHERE name = 'Coal Power Plant'; | gretelai_synthetic_text_to_sql |
create table incidents (id int, date date, sector varchar(255)); insert into incidents values (1, '2021-01-01', 'government'); insert into incidents values (2, '2021-01-05', 'government'); insert into incidents values (3, '2021-01-10', 'government'); insert into incidents values (4, '2021-01-20', 'healthcare'); | What is the maximum number of days between two consecutive security incidents for the government sector? | SELECT DATEDIFF(date, LAG(date) OVER (PARTITION BY sector ORDER BY date)) FROM incidents WHERE sector = 'government' ORDER BY date DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID int, Name varchar(50), Nationality varchar(50)); CREATE TABLE ArtPieces (ArtPieceID int, Title varchar(50), YearCreated int, ArtistID int, MovementID int); CREATE TABLE ArtMovements (MovementID int, Name varchar(50)); | Which artists from Asia have the most pieces in the modern art category? | SELECT Artists.Name, COUNT(ArtPieces.ArtPieceID) AS ArtPiecesCount FROM Artists INNER JOIN ArtPieces ON Artists.ArtistID = ArtPieces.ArtistID INNER JOIN ArtMovements ON ArtPieces.MovementID = ArtMovements.MovementID WHERE Artists.Nationality LIKE 'Asia%' AND ArtMovements.Name = 'Modern Art' GROUP BY Artists.Name ORDER BY ArtPiecesCount DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Workers (id INT, industry VARCHAR(20), employment_status VARCHAR(20)); INSERT INTO Workers (id, industry, employment_status) VALUES (1, 'Manufacturing', 'Part-time'), (2, 'Retail', 'Full-time'), (3, 'Manufacturing', 'Full-time'); | How many workers in the 'Manufacturing' industry have a 'Part-time' status? | SELECT COUNT(*) FROM Workers WHERE industry = 'Manufacturing' AND employment_status = 'Part-time'; | gretelai_synthetic_text_to_sql |
CREATE TABLE manufacturer_ratings(name VARCHAR(50), location VARCHAR(50), sustainability_rating INT); INSERT INTO manufacturer_ratings (name, location, sustainability_rating) VALUES ('EcoClothes', 'Brazil', 93); INSERT INTO manufacturer_ratings (name, location, sustainability_rating) VALUES ('GreenSeams', 'Argentina', 89); | Who is the garment manufacturer with the highest sustainability rating in 'South America'? | SELECT name, sustainability_rating FROM manufacturer_ratings WHERE location = 'South America' ORDER BY sustainability_rating DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE monthly_incidents (id INT, incident_month DATE, region VARCHAR(255)); INSERT INTO monthly_incidents (id, incident_month, region) VALUES (1, '2022-01-01', 'APAC'), (2, '2022-02-01', 'EMEA'), (3, '2022-03-01', 'AMER'); | What is the average number of security incidents per month for each region? | SELECT region, AVG(EXTRACT(MONTH FROM incident_month)) FROM monthly_incidents GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE DailyWaterUsage (ID INT, Date DATE, WaterAmount FLOAT); INSERT INTO DailyWaterUsage (ID, Date, WaterAmount) VALUES (1, '2022-07-01', 12000); INSERT INTO DailyWaterUsage (ID, Date, WaterAmount) VALUES (2, '2022-07-02', 15000); | What was the maximum daily water consumption in the 'DailyWaterUsage' table in July 2022? | SELECT Date, WaterAmount, ROW_NUMBER() OVER (PARTITION BY Date ORDER BY WaterAmount DESC) as Rank FROM DailyWaterUsage WHERE Rank = 1 AND Date BETWEEN '2022-07-01' AND '2022-07-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_clinics (clinic_location VARCHAR(255), healthcare_provider_specialty VARCHAR(255), healthcare_provider_salary INT); INSERT INTO rural_clinics (clinic_location, healthcare_provider_specialty, healthcare_provider_salary) VALUES ('Location1', 'SpecialtyA', 100000), ('Location1', 'SpecialtyA', 110000), ('Location1', 'SpecialtyB', 120000), ('Location1', 'SpecialtyB', 130000), ('Location2', 'SpecialtyA', 140000), ('Location2', 'SpecialtyA', 150000), ('Location2', 'SpecialtyB', 160000), ('Location2', 'SpecialtyB', 170000); | What is the average healthcare provider salary in the "rural_clinics" table, partitioned by clinic location and healthcare provider specialty? | SELECT clinic_location, healthcare_provider_specialty, AVG(healthcare_provider_salary) OVER (PARTITION BY clinic_location, healthcare_provider_specialty) FROM rural_clinics; | gretelai_synthetic_text_to_sql |
CREATE TABLE AircraftManufacturers (ID INT, Name VARCHAR(50), Country VARCHAR(50));INSERT INTO AircraftManufacturers (ID, Name, Country) VALUES (1, 'Boeing', 'USA'), (2, 'Airbus', 'Europe'); | What is the total number of aircraft manufactured by Boeing and Airbus? | SELECT COUNT(*) FROM AircraftManufacturers WHERE Name IN ('Boeing', 'Airbus'); | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(255), genre VARCHAR(255), studio_location VARCHAR(255)); INSERT INTO movies (id, title, genre, studio_location) VALUES (1, 'Movie1', 'Comedy', 'Canada'), (2, 'Movie2', 'Drama', 'Australia'); CREATE TABLE studios (id INT, name VARCHAR(255), location VARCHAR(255)); INSERT INTO studios (id, name, location) VALUES (1, 'Studio1', 'Canada'), (2, 'Studio2', 'Australia'); | What is the total number of movies, by genre, produced by studios in Canada and Australia? | SELECT genre, COUNT(*) as total FROM movies JOIN studios ON movies.studio_location = studios.location WHERE studios.location IN ('Canada', 'Australia') GROUP BY genre; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA fitness; CREATE TABLE membership (member_id INT, member_start_date DATE, membership_fee INT); INSERT INTO membership (member_id, member_start_date, membership_fee) VALUES (1, '2022-01-01', 50), (2, '2022-02-01', 75), (3, '2022-03-01', 100); | What is the total revenue generated from memberships in Q1 2022, excluding the members who joined in March 2022 or later? | SELECT SUM(membership_fee) FROM membership WHERE membership_fee IS NOT NULL AND member_start_date < '2022-03-01' AND member_start_date >= '2022-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farm_data (farm_id INT, farm_name VARCHAR(255), country VARCHAR(255), is_organic BOOLEAN); INSERT INTO farm_data (farm_id, farm_name, country, is_organic) VALUES (1, 'Farm1', 'CountryA', true), (2, 'Farm2', 'CountryB', false), (3, 'Farm3', 'CountryA', true), (4, 'Farm4', 'CountryC', true), (5, 'Farm5', 'CountryB', true), (6, 'Farm6', 'CountryA', false); | Calculate the percentage of organic farms in each country in the 'farm_data' table. | SELECT country, (COUNT(*) FILTER (WHERE is_organic = true)) * 100.0 / COUNT(*) as organic_percentage FROM farm_data GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE weather (city VARCHAR(255), wind_speed FLOAT, date DATE); | Insert a new record for 'Mexico City' with a wind speed of 20 km/h on '2022-10-31'. | INSERT INTO weather (city, wind_speed, date) VALUES ('Mexico City', 20, '2022-10-31'); | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, country TEXT); INSERT INTO volunteers (id, country) VALUES (1, 'Australia'), (2, 'Mexico'), (3, 'Australia'); | What is the total number of volunteers from the country of Australia? | SELECT COUNT(*) FROM volunteers WHERE country = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE conservation_efforts (id INT PRIMARY KEY, species VARCHAR(255), country VARCHAR(255), program VARCHAR(255), start_date DATE, end_date DATE); INSERT INTO conservation_efforts (id, species, country, program, start_date, end_date) VALUES (1, 'turtle', 'New_Zealand', 'South_Pacific_conservation', '2018-01-01', '2023-12-31'), (2, 'shark', 'Australia', 'South_Pacific_protection', '2020-01-01', '2025-12-31'); | Show conservation efforts in the South Pacific and their timeframes. | SELECT country, program, start_date, end_date FROM conservation_efforts WHERE country IN ('New_Zealand', 'Australia') AND program LIKE '%South_Pacific%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (hospital_name VARCHAR(50), state VARCHAR(50), num_beds INTEGER, offers_mental_health BOOLEAN); INSERT INTO hospitals (hospital_name, state, num_beds, offers_mental_health) VALUES ('Hospital A', 'California', 250, TRUE), ('Hospital B', 'California', 150, FALSE), ('Hospital C', 'Texas', 300, TRUE), ('Hospital D', 'Texas', 180, TRUE), ('Hospital E', 'New York', 220, TRUE), ('Hospital F', 'New York', 270, TRUE); | Identify the number of hospitals in each state that offer mental health services, for hospitals with more than 200 beds. | SELECT state, COUNT(*) as num_hospitals FROM hospitals WHERE offers_mental_health = TRUE AND num_beds > 200 GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE workout_data (user_id INT, workout_type VARCHAR(20), duration INT); INSERT INTO workout_data (user_id, workout_type, duration) VALUES (4, 'Swimming', 300), (5, 'Swimming', 420), (4, 'Swimming', 240), (5, 'Swimming', 540); | What is the total duration of 'Swimming' workouts for each user in the 'workout_data' table? | SELECT user_id, SUM(duration) as total_duration FROM workout_data WHERE workout_type = 'Swimming' GROUP BY user_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_adoption (country_name VARCHAR(50), adoption_year INT); | List all countries that have adopted AI in hospitality | SELECT country_name FROM ai_adoption | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity (region TEXT, capacity INT); INSERT INTO landfill_capacity (region, capacity) VALUES ('Asia', 500), ('Africa', 200), ('Europe', 300), ('North America', 400); | What is the maximum landfill capacity in gigatons in Europe? | SELECT MAX(capacity) FROM landfill_capacity WHERE region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists genetics; USE genetics; CREATE TABLE if not exists projects (id INT PRIMARY KEY, name VARCHAR(255), completion_date DATE); INSERT INTO projects (id, name, completion_date) VALUES (1, 'ProjectX', '2017-12-31'), (2, 'ProjectY', '2018-06-15'), (3, 'ProjectZ', '2019-04-22'), (4, 'ProjectP', '2020-02-03'), (5, 'ProjectQ', '2021-01-01'), (6, 'ProjectR', '2016-08-08'); | How many genetic research projects were completed each year? | SELECT YEAR(completion_date) AS year, COUNT(*) AS completed_projects FROM projects GROUP BY year ORDER BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE AnimalPopulation (AnimalID int, AnimalName varchar(50), Population int); INSERT INTO AnimalPopulation (AnimalID, AnimalName, Population) VALUES (1, 'Tiger', 2500), (2, 'Elephant', 550), (3, 'Giraffe', 1100); | What is the average 'Population' for animals in the 'AnimalPopulation' table grouped by 'AnimalName'? | SELECT AnimalName, AVG(Population) FROM AnimalPopulation GROUP BY AnimalName; | gretelai_synthetic_text_to_sql |
CREATE TABLE Fines (ID INT, Type VARCHAR(30), Fine INT); INSERT INTO Fines (ID, Type, Fine) VALUES (1, 'Traffic Violation', 50), (2, 'Misdemeanor', 200), (3, 'Felony', 1000); | What is the average fine for each type of violation? | SELECT Type, AVG(Fine) FROM Fines GROUP BY Type; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemical_inventory ( id INT PRIMARY KEY, chemical_name VARCHAR(255), quantity INT, supplier VARCHAR(255), last_updated TIMESTAMP);CREATE TABLE supplier_info ( id INT PRIMARY KEY, supplier_name VARCHAR(255), address VARCHAR(255), country VARCHAR(255));CREATE TABLE chemical_prices ( id INT PRIMARY KEY, chemical_name VARCHAR(255), price DECIMAL(10,2), price_updated_date DATE); | Identify the top 10% of suppliers with the highest average price of chemicals they supply, ordered by average price in descending order. | SELECT s.supplier_name, AVG(cp.price) AS avg_price FROM supplier_info s JOIN chemical_inventory ci ON s.supplier_name = ci.supplier JOIN chemical_prices cp ON ci.chemical_name = cp.chemical_name GROUP BY s.supplier_name ORDER BY avg_price DESC FETCH FIRST 10 PERCENT ROWS ONLY; | gretelai_synthetic_text_to_sql |
CREATE TABLE fair_labor_practices (practice_id INT, brand_id INT, region TEXT, workers_benefitted INT); | Delete all records from 'fair_labor_practices' table where region is 'Asia'. | DELETE FROM fair_labor_practices WHERE region = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sanctuary_data (sanctuary_id INT, sanctuary_name VARCHAR(255), region VARCHAR(255), animal_type VARCHAR(255), animal_count INT); INSERT INTO sanctuary_data (sanctuary_id, sanctuary_name, region, animal_type, animal_count) VALUES (1, 'Sanctuary A', 'North', 'Tiger', 25), (2, 'Sanctuary A', 'North', 'Elephant', 30), (3, 'Sanctuary B', 'South', 'Tiger', 35), (4, 'Sanctuary B', 'South', 'Elephant', 20), (5, 'Sanctuary C', 'East', 'Tiger', 15), (6, 'Sanctuary C', 'East', 'Elephant', 40), (7, 'Sanctuary D', 'West', 'Tiger', 5), (8, 'Sanctuary D', 'West', 'Elephant', 10), (9, 'Sanctuary E', 'North', 'Tiger', 45), (10, 'Sanctuary E', 'North', 'Elephant', 25); | What is the total number of animals in each sanctuary, grouped by region? | SELECT region, animal_type, SUM(animal_count) AS total_animals FROM sanctuary_data GROUP BY region, animal_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorney_districts(attorney_id INT, district VARCHAR(20)); INSERT INTO attorney_districts(attorney_id, district) VALUES (1, 'North'), (2, 'South'), (3, 'East'), (4, 'West'), (5, 'North'), (6, 'South'); CREATE TABLE handled_cases(attorney_id INT, case_id INT); INSERT INTO handled_cases(attorney_id, case_id) VALUES (1, 101), (2, 102), (3, 103), (4, 104), (5, 105), (6, 106); | What are the names of attorneys who have handled cases in both the 'North' and 'South' districts? | SELECT h.attorney_id FROM attorney_districts h INNER JOIN (SELECT attorney_id FROM attorney_districts WHERE district = 'North' INTERSECT SELECT attorney_id FROM attorney_districts WHERE district = 'South') i ON h.attorney_id = i.attorney_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE nba_games (team VARCHAR(255), games_played INTEGER); | Find the teams that have played more than 50 games in the "nba_games" table | SELECT team FROM nba_games WHERE games_played > 50 GROUP BY team; | gretelai_synthetic_text_to_sql |
CREATE TABLE ChemicalProduction (date DATE, chemical VARCHAR(10), mass FLOAT); INSERT INTO ChemicalProduction (date, chemical, mass) VALUES ('2021-01-01', 'A', 100), ('2021-01-01', 'B', 150), ('2021-01-02', 'A', 120), ('2021-01-02', 'B', 170); | How many chemical productions were made per day? | SELECT date, COUNT(*) as TotalProductions FROM ChemicalProduction GROUP BY date; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name VARCHAR(255)); INSERT INTO teams (team_id, team_name) VALUES (1, 'Knights'), (2, 'Lions'), (3, 'Titans'); CREATE TABLE events (event_id INT, team_id INT, num_tickets_sold INT, total_seats INT); INSERT INTO events (event_id, team_id, num_tickets_sold, total_seats) VALUES (1, 1, 500, 1000), (2, 1, 700, 1000), (3, 2, 600, 1200), (4, 3, 800, 1500), (5, 3, 900, 1500); | What is the difference in average ticket sales between the top performing team and the worst performing team? | SELECT AVG(e1.num_tickets_sold) - AVG(e2.num_tickets_sold) as difference_in_avg_tickets_sold FROM events e1, events e2 WHERE e1.team_id = (SELECT team_id FROM teams t JOIN events e ON t.team_id = e.team_id GROUP BY e.team_id ORDER BY AVG(e.num_tickets_sold) DESC LIMIT 1) AND e2.team_id = (SELECT team_id FROM teams t JOIN events e ON t.team_id = e.team_id GROUP BY e.team_id ORDER BY AVG(e.num_tickets_sold) ASC LIMIT 1); | gretelai_synthetic_text_to_sql |
CREATE TABLE Assistive_Technology (student_id INT, accommodation VARCHAR(255)); INSERT INTO Assistive_Technology VALUES (1, 'Text-to-Speech'); | What is the total number of students who have utilized assistive technology? | SELECT COUNT(DISTINCT student_id) FROM Assistive_Technology | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name TEXT, program TEXT, hours INT); INSERT INTO volunteers (id, name, program, hours) VALUES (1, 'John Doe', 'Food Distribution', 10), (2, 'Jane Smith', 'Food Distribution', 20); | What is the average number of hours volunteered by volunteers in the Food Distribution program? | SELECT AVG(hours) FROM volunteers WHERE program = 'Food Distribution'; | gretelai_synthetic_text_to_sql |
CREATE TABLE patient (id INT, name TEXT, mental_health_score INT, community TEXT); INSERT INTO patient (id, name, mental_health_score, community) VALUES (1, 'John Doe', 60, 'Straight'), (2, 'Jane Smith', 70, 'LGBTQ+'), (3, 'Ana Garcia', 50, 'Latino'), (4, 'Sara Johnson', 80, 'African American'); | What is the minimum mental health score for patients who identify as African American or Latino? | SELECT MIN(mental_health_score) FROM patient WHERE community IN ('African American', 'Latino'); | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity (region VARCHAR(50), year INT, capacity_m3 FLOAT); INSERT INTO landfill_capacity (region, year, capacity_m3) VALUES ('Africa', 2020, 5000000), ('Africa', 2021, 6000000); | What is the landfill capacity in m3 for 'Africa' in the year 2020? | SELECT capacity_m3 FROM landfill_capacity WHERE region = 'Africa' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sites (SiteID INT, SiteName TEXT); INSERT INTO Sites (SiteID, SiteName) VALUES (1, 'Site-A'), (2, 'Site-B'), (3, 'Site-C'); CREATE TABLE Artifacts (ArtifactID INT, ArtifactName TEXT, SiteID INT, ArtifactType TEXT); INSERT INTO Artifacts (ArtifactID, ArtifactName, SiteID, ArtifactType) VALUES (1, 'Pottery Shard', 1, 'Ceramic'), (2, 'Bronze Arrowhead', 2, 'Metal'), (3, 'Flint Tool', 3, 'Stone'), (4, 'Ancient Coin', 1, 'Metal'), (5, 'Stone Hammer', 2, 'Stone'); | Find the number of unique artifact types per excavation site? | SELECT Sites.SiteName, COUNT(DISTINCT Artifacts.ArtifactType) AS UniqueArtifactTypes FROM Sites INNER JOIN Artifacts ON Sites.SiteID = Artifacts.SiteID GROUP BY Sites.SiteName; | gretelai_synthetic_text_to_sql |
CREATE TABLE food_safety_inspections (location VARCHAR(255), inspection_date DATE, violations INT); INSERT INTO food_safety_inspections (location, inspection_date, violations) VALUES ('Location A', '2022-01-01', 3), ('Location B', '2022-01-02', 5), ('Location A', '2022-01-03', 2), ('Location C', '2022-01-04', 4), ('Location A', '2022-01-05', 1); | What is the average number of food safety violations per inspection for each location? | SELECT location, AVG(violations) as average_violations FROM food_safety_inspections GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE DefenseDiplomacy (nation VARCHAR(50), year INT, spending FLOAT); INSERT INTO DefenseDiplomacy (nation, year, spending) VALUES ('France', 2018, 25000000), ('Germany', 2018, 30000000), ('United Kingdom', 2018, 35000000), ('Italy', 2018, 22000000), ('Spain', 2018, 28000000); | What was the total defense diplomacy spending for European nations in 2018? | SELECT SUM(spending) FROM DefenseDiplomacy WHERE nation IN ('France', 'Germany', 'United Kingdom', 'Italy', 'Spain') AND year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE dapps (id INT, name VARCHAR(50), region VARCHAR(10), daily_tx_volume INT); INSERT INTO dapps (id, name, region, daily_tx_volume) VALUES (1, 'App1', 'Asia', 1000), (2, 'App2', 'Asia', 2000), (3, 'App3', 'Asia', 3000); | Which decentralized applications in Asia have the highest daily transaction volumes? | SELECT name, daily_tx_volume, RANK() OVER (ORDER BY daily_tx_volume DESC) as rank FROM dapps WHERE region = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists dim_exploration (exploration_id INT PRIMARY KEY, exploration_name VARCHAR(255), location VARCHAR(255)); | List all explorations in the Gulf of Mexico | SELECT exploration_name FROM dim_exploration WHERE location = 'Gulf of Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Infrastructure (id INT, name VARCHAR(100), type VARCHAR(50), state VARCHAR(50)); INSERT INTO Infrastructure (id, name, type, state) VALUES (1, 'Golden Gate Bridge', 'Bridge', 'California'); INSERT INTO Infrastructure (id, name, type, state) VALUES (2, 'Hoover Dam', 'Dam', 'Nevada'); INSERT INTO Infrastructure (id, name, type, state) VALUES (3, 'Interstate 10', 'Road', 'Texas'); INSERT INTO Infrastructure (id, name, type, state) VALUES (4, 'John F. Kennedy International Airport', 'Airport', 'New York'); | List all airports in the state of New York | SELECT * FROM Infrastructure WHERE state = 'New York' AND type = 'Airport'; | gretelai_synthetic_text_to_sql |
CREATE TABLE RevenueData (RevenueID INT, ProductID INT, Revenue FLOAT, Sustainable BOOLEAN); INSERT INTO RevenueData (RevenueID, ProductID, Revenue, Sustainable) VALUES (1, 1001, 500, true), (2, 1002, 600, false), (3, 1003, 400, true); | What is the total revenue generated from sustainable garments in the last quarter? | SELECT SUM(Revenue) FROM RevenueData WHERE Sustainable = true AND RevenueDate >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE Spacecraft (ID INT, Name VARCHAR(50), Cost FLOAT); INSERT INTO Spacecraft VALUES (1, 'Ares', 5000000), (2, 'Orion', 7000000), (3, 'Artemis', 8000000); | What was the most expensive spacecraft? | SELECT Name, MAX(Cost) FROM Spacecraft; | gretelai_synthetic_text_to_sql |
CREATE TABLE ShippingEmissions(year INT, CO2_emissions FLOAT); | What is the total CO2 emissions from Arctic shipping per year? | SELECT year, SUM(CO2_emissions) FROM ShippingEmissions GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE emergency_calls (call_id INT, district TEXT, response_time FLOAT); INSERT INTO emergency_calls (call_id, district, response_time) VALUES (1, 'Downtown', 10.5), (2, 'Uptown', 12.0), (3, 'Harbor', 8.0); | What is the average response time for emergency calls in each district? | SELECT district, AVG(response_time) FROM emergency_calls GROUP BY district; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (hotel_id INT, name VARCHAR(50), rating FLOAT); INSERT INTO hotels (hotel_id, name, rating) VALUES (1, 'Hotel X', 4.5), (2, 'Hotel Y', 4.2), (3, 'Hotel Z', 4.7); | Find the hotels in the hotels table that have a higher rating than the average rating of all hotels. | SELECT * FROM hotels WHERE rating > (SELECT AVG(rating) FROM hotels); | gretelai_synthetic_text_to_sql |
CREATE TABLE open_education_resources (resource_id INT PRIMARY KEY, title VARCHAR(100), description TEXT, license VARCHAR(50)); | Delete records with a 'license' of 'CC-BY-NC' from the 'open_education_resources' table | DELETE FROM open_education_resources WHERE license = 'CC-BY-NC'; | gretelai_synthetic_text_to_sql |
CREATE TABLE geothermal_projects (project_id INT, project_name TEXT, country TEXT, capacity_mw FLOAT); INSERT INTO geothermal_projects (project_id, project_name, country, capacity_mw) VALUES (1, 'Geothermal Project A', 'United States', 50), (2, 'Geothermal Project B', 'United States', 75); | What is the total installed capacity (in MW) of geothermal power projects in the United States? | SELECT SUM(capacity_mw) FROM geothermal_projects WHERE country = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name TEXT, country TEXT); CREATE TABLE donations (id INT, donor_id INT, donation_amount FLOAT, organization_id INT); CREATE TABLE organizations (id INT, name TEXT, cause_area TEXT, country TEXT); CREATE TABLE countries (id INT, name TEXT, continent TEXT); | What is the number of unique donors for each cause area, for donors from African countries, categorized by continent? | SELECT c.continent, o.cause_area, COUNT(DISTINCT d.id) as num_unique_donors FROM donors d INNER JOIN donations ON d.id = donations.donor_id INNER JOIN organizations o ON donations.organization_id = o.id INNER JOIN countries ON d.country = countries.name WHERE countries.continent = 'Africa' GROUP BY c.continent, o.cause_area; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intelligence (threat_id INT, country VARCHAR(255), score INT, threat_date DATE); INSERT INTO threat_intelligence (threat_id, country, score, threat_date) VALUES (1, 'China', 75, '2022-06-01'), (2, 'Japan', 85, '2022-06-02'), (3, 'Australia', 65, '2022-06-03'); | What is the average threat intelligence score for countries in the Asia-Pacific region in the month of June? | SELECT AVG(score) FROM threat_intelligence WHERE EXTRACT(MONTH FROM threat_date) = 6 AND country IN ('China', 'Japan', 'Australia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Disability_Support_Programs (Program_ID INT, Program_Name VARCHAR(50), Budget DECIMAL(10,2), Region VARCHAR(50)); | What is the average budget spent on disability support programs per region? | SELECT AVG(Budget) as Avg_Budget, Region FROM Disability_Support_Programs GROUP BY Region; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, financial_capability_score INT, has_socially_responsible_loan BOOLEAN); | Display the number of customers who have both a socially responsible loan and a high financial capability score | SELECT COUNT(*) FROM customers WHERE financial_capability_score > 7 AND has_socially_responsible_loan = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE eco_hotels (hotel_id INT, country VARCHAR(50), rating FLOAT); INSERT INTO eco_hotels (hotel_id, country, rating) VALUES (1, 'France', 4.3), (2, 'France', 4.6), (3, 'Germany', 4.5); CREATE TABLE virtual_tours (tour_id INT, hotel_id INT, rating FLOAT); INSERT INTO virtual_tours (tour_id, hotel_id, rating) VALUES (1, 1, 4.8), (2, 2, 4.9), (3, 3, 4.7); | What is the average virtual tour rating for eco-friendly hotels in France? | SELECT AVG(vt.rating) FROM virtual_tours vt JOIN eco_hotels eh ON vt.hotel_id = eh.hotel_id WHERE eh.country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE BudgetAllocations (Year INT, Service TEXT, Amount INT); INSERT INTO BudgetAllocations (Year, Service, Amount) VALUES (2021, 'Infrastructure', 12000000), (2022, 'Infrastructure', 14000000); | What is the percentage of the budget allocated to infrastructure in 2021 compared to 2022? | SELECT (SUM(CASE WHEN Year = 2022 THEN Amount ELSE 0 END) / SUM(Amount)) * 100.0 FROM BudgetAllocations WHERE Service = 'Infrastructure'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Department VARCHAR(20), Age INT, YearsWithCompany INT); INSERT INTO Employees (EmployeeID, Department, Age, YearsWithCompany) VALUES (1, 'Sales', 45, 6), (2, 'Marketing', 30, 2), (3, 'Sales', 50, 8); | What is the maximum age of employees in the Sales department who have been with the company for more than 5 years? | SELECT MAX(Age) FROM Employees WHERE Department = 'Sales' AND YearsWithCompany > 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping_operations (org_name VARCHAR(255), year INT, operation_name VARCHAR(255)); INSERT INTO peacekeeping_operations (org_name, year, operation_name) VALUES ('NATO', 2016, 'Resolute Support Mission'), ('NATO', 2016, 'Kosovo Force'); | List all peacekeeping operations led by NATO in 2016. | SELECT operation_name FROM peacekeeping_operations WHERE org_name = 'NATO' AND year = 2016; | gretelai_synthetic_text_to_sql |
CREATE TABLE Astronauts (id INT, name VARCHAR(255)); CREATE TABLE SpaceMissions (id INT, name VARCHAR(255), astronaut_id INT); INSERT INTO Astronauts (id, name) VALUES (1, 'J. Johnson'), (2, 'R. Riley'); INSERT INTO SpaceMissions (id, name, astronaut_id) VALUES (1, 'Mars Rover', 1), (2, 'ISS', 2); | Which missions did astronaut 'J. Johnson' participate in? | SELECT SpaceMissions.name FROM SpaceMissions JOIN Astronauts ON SpaceMissions.astronaut_id = Astronauts.id WHERE Astronauts.name = 'J. Johnson'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Household_Water_Usage (Household_ID INT, City VARCHAR(20), Year INT, Water_Consumption FLOAT); INSERT INTO Household_Water_Usage (Household_ID, City, Year, Water_Consumption) VALUES (1, 'New Orleans', 2018, 150.5), (2, 'New Orleans', 2019, 130.2); | What is the percentage of households in New Orleans that reduced their water consumption by more than 10% from 2018 to 2019? | SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Household_Water_Usage WHERE City = 'New Orleans' AND Year = 2018)) AS Percentage FROM Household_Water_Usage WHERE City = 'New Orleans' AND Year = 2019 AND Water_Consumption (SELECT Water_Consumption * 1.1 FROM Household_Water_Usage WHERE City = 'New Orleans' AND Year = 2018); | gretelai_synthetic_text_to_sql |
CREATE TABLE BuildingPermits (id INT, state VARCHAR(50), permit_number INT, issued_date DATE); INSERT INTO BuildingPermits VALUES (1, 'New York', 1001, '2021-01-01'); INSERT INTO BuildingPermits VALUES (2, 'New York', 1002, '2021-02-15'); CREATE TABLE ProjectTimelines (id INT, permit_number INT, start_date DATE, end_date DATE); INSERT INTO ProjectTimelines VALUES (1, 1001, '2021-01-05', '2021-05-15'); INSERT INTO ProjectTimelines VALUES (2, 1002, '2021-03-01', '2021-06-30'); | List the building permits issued in New York in Q1 2021 and their corresponding project timelines. | SELECT bp.permit_number, bp.issued_date, pt.start_date, pt.end_date FROM BuildingPermits bp JOIN ProjectTimelines pt ON bp.permit_number = pt.permit_number WHERE bp.state = 'New York' AND QUARTER(bp.issued_date) = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (country_id INT, country_name VARCHAR(255));CREATE TABLE garments (garment_id INT, garment_name VARCHAR(255), country_id INT, price DECIMAL(10,2), is_sustainable BOOLEAN); | What are the top 3 countries by sales of sustainable fabric garments? | SELECT c.country_name, SUM(g.price) AS total_sales FROM garments g JOIN countries c ON g.country_id = c.country_id WHERE g.is_sustainable = TRUE GROUP BY c.country_name ORDER BY total_sales DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE risk_assessments (id INT, region VARCHAR, assessment_date DATE, risk_level INT); INSERT INTO risk_assessments (id, region, assessment_date, risk_level) VALUES (1, 'Middle East', '2019-07-22', 7); INSERT INTO risk_assessments (id, region, assessment_date, risk_level) VALUES (2, 'North Africa', '2019-09-10', 5); INSERT INTO risk_assessments (id, region, assessment_date, risk_level) VALUES (3, 'Middle East', '2019-08-03', 6); | List the geopolitical risk assessments for the Middle East and North Africa in Q3 2019. | SELECT region, risk_level FROM risk_assessments WHERE region IN ('Middle East', 'North Africa') AND assessment_date BETWEEN '2019-07-01' AND '2019-09-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT, name VARCHAR(20), department VARCHAR(20)); CREATE TABLE products (id INT, worker_id INT, name VARCHAR(20), material VARCHAR(20), quantity INT); INSERT INTO workers (id, name, department) VALUES (1, 'Alice', 'textiles'), (2, 'Bob', 'textiles'), (3, 'Charlie', 'metallurgy'), (4, 'Dave', 'metallurgy'); INSERT INTO products (id, worker_id, name, material, quantity) VALUES (1, 1, 'beam', 'steel', 100), (2, 1, 'plate', 'steel', 200), (3, 2, 'rod', 'aluminum', 150), (4, 2, 'foil', 'aluminum', 50), (5, 3, 'gear', 'steel', 250), (6, 4, 'nut', 'steel', 1000), (7, 4, 'bolt', 'steel', 1000); | Get the names of workers and the number of products they have produced | SELECT w.name, COUNT(p.id) FROM workers w INNER JOIN products p ON w.id = p.worker_id GROUP BY w.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_temperature (id INT, ocean_name VARCHAR(20), avg_temp DECIMAL(5,2)); INSERT INTO ocean_temperature (id, ocean_name, avg_temp) VALUES (1, 'Indian', 28.2), (2, 'Atlantic', 26.7); | What is the average water temperature in the Indian Ocean? | SELECT AVG(avg_temp) FROM ocean_temperature WHERE ocean_name = 'Indian'; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_items (item_name VARCHAR(255), price DECIMAL(10,2)); INSERT INTO menu_items (item_name, price) VALUES ('Pizza', 12.99), ('Burrito', 9.99), ('Sushi', 13.99); | Update the price of the 'Sushi' menu item to $14.99 | UPDATE menu_items SET price = 14.99 WHERE item_name = 'Sushi'; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellites (satellite_id INT, country VARCHAR(50)); INSERT INTO satellites (satellite_id, country) VALUES (1, 'USA'), (2, 'Russia'), (3, 'China'), (4, 'India'), (5, 'Japan'); CREATE TABLE space_debris (debris_id INT, country VARCHAR(50)); INSERT INTO space_debris (debris_id, country) VALUES (1, 'USA'), (2, 'Russia'), (3, 'Germany'), (4, 'Canada'), (5, 'Australia'); | What is the total number of satellites and space debris objects in orbit, for each country? | SELECT s.country, COUNT(s.satellite_id) + COUNT(d.debris_id) as total_objects FROM satellites s FULL OUTER JOIN space_debris d ON s.country = d.country GROUP BY s.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE medical_assistance (id INT, name TEXT, age INT, country TEXT, year INT); INSERT INTO medical_assistance (id, name, age, country, year) VALUES (1, 'Ali', 30, 'Yemen', 2022), (2, 'Fatima', 40, 'Yemen', 2022), (3, 'Ahmed', 50, 'Yemen', 2022); | What is the name and age of the oldest person who received medical assistance in Yemen in 2022? | SELECT name, age FROM medical_assistance WHERE country = 'Yemen' AND year = 2022 ORDER BY age DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE coral_species (id INT, location VARCHAR(50), species_name VARCHAR(50), num_species INT); INSERT INTO coral_species (id, location, species_name, num_species) VALUES (1, 'Coral Triangle', 'Acropora', 150); INSERT INTO coral_species (id, location, species_name, num_species) VALUES (2, 'Coral Triangle', 'Porites', 120); | What is the minimum number of coral species in the Coral Triangle? | SELECT MIN(num_species) FROM coral_species WHERE location = 'Coral Triangle'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wildlife_habitats (id INT, country VARCHAR(255), region VARCHAR(255), habitat_type VARCHAR(255)); | How many wildlife habitats are in South America? | SELECT COUNT(DISTINCT habitat_type) FROM wildlife_habitats WHERE region = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Genres (genre_id INT, genre_name TEXT); CREATE TABLE Sales (sale_id INT, genre_id INT, revenue INT); | Which genres have the highest and lowest revenue? | SELECT genre_name, MAX(revenue) as max_revenue, MIN(revenue) as min_revenue FROM Genres JOIN Sales ON Genres.genre_id = Sales.genre_id GROUP BY genre_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE product_launches (launch_date DATE, product_type VARCHAR(20)); INSERT INTO product_launches (launch_date, product_type) VALUES ('2022-01-05', 'vegan skincare'), ('2022-01-10', 'conventional skincare'), ('2022-02-15', 'vegan skincare'), ('2022-03-20', 'vegan skincare'), ('2022-03-30', 'organic makeup'); | Determine the number of vegan skincare products launched in Q1 2022 | SELECT COUNT(*) FROM product_launches WHERE product_type = 'vegan skincare' AND launch_date BETWEEN '2022-01-01' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cybersecurity_strategies (strategy TEXT, cost INTEGER); INSERT INTO cybersecurity_strategies (strategy, cost) VALUES ('Firewall Implementation', 5000), ('Intrusion Detection System', 7000), ('Penetration Testing', 3000); | List all cybersecurity strategies and their respective costs in descending order. | SELECT strategy, cost FROM cybersecurity_strategies ORDER BY cost DESC | 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.