context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE disaster_assistance (disaster_type TEXT, families_assisted INTEGER); INSERT INTO disaster_assistance (disaster_type, families_assisted) VALUES ('Flood', 100), ('Earthquake', 125), ('Fire', 75); CREATE TABLE assistance (disaster_type TEXT, families_assisted INTEGER); INSERT INTO assistance (disaster_type, f... | What is the total number of families assisted in each disaster type? | SELECT da.disaster_type, SUM(da.families_assisted + a.families_assisted) FROM disaster_assistance da CROSS JOIN assistance a GROUP BY da.disaster_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE reserve_years (reserve_id INT, year_established INT); | Get the number of marine reserves that have been established since 2010, including the year of establishment in the 'reserve_years' table. | SELECT year_established, COUNT(*) FROM reserve_years WHERE year_established >= 2010 GROUP BY year_established; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity_complaints (complaint_id INT, complaint_date DATE, state VARCHAR(20), race VARCHAR(20)); INSERT INTO mental_health_parity_complaints (complaint_id, complaint_date, state, race) VALUES (1, '2021-07-01', 'California', 'Asian'), (2, '2021-03-15', 'California', 'Black'), (3, '2021-01-01', ... | What is the total number of mental health parity complaints filed in California in the last 12 months by race? | SELECT race, COUNT(*) as num_complaints FROM mental_health_parity_complaints WHERE complaint_date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH) AND state = 'California' GROUP BY race; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, FirstName TEXT, LastName TEXT, RegistrationDate DATE); INSERT INTO Donors (DonorID, FirstName, LastName, RegistrationDate) VALUES (1, 'John', 'Doe', '2021-01-15'), (2, 'Jane', 'Doe', '2020-12-20'), (3, 'Mike', 'Smith', '2021-03-01'); CREATE TABLE Donations (DonationID INT, DonorID INT,... | How many new donors made a donation in each month of 2021? | SELECT EXTRACT(MONTH FROM DonationDate) as Month, COUNT(DISTINCT DonorID) as NewDonors FROM Donations d JOIN Donors don ON d.DonorID = don.DonorID WHERE DonationDate BETWEEN '2021-01-01' AND '2021-12-31' GROUP BY Month; | gretelai_synthetic_text_to_sql |
CREATE TABLE Loans (id INT, project_id INT, leader_gender VARCHAR(10), disbursal_amount DECIMAL(10,2), disbursal_date DATE); INSERT INTO Loans (id, project_id, leader_gender, disbursal_amount, disbursal_date) VALUES (1, 1001, 'Female', 5000.00, '2020-03-15'), (2, 1002, 'Male', 8000.00, '2020-06-28'), (3, 1003, 'Female'... | What was the total amount of loans disbursed for women-led agricultural projects in Rwanda in 2020? | SELECT SUM(disbursal_amount) FROM Loans WHERE leader_gender = 'Female' AND YEAR(disbursal_date) = 2020 AND country = 'Rwanda'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(255), gender VARCHAR(10), country VARCHAR(255), registration_date DATE, listening_time INT); INSERT INTO users (id, name, gender, country, registration_date, listening_time) VALUES (1, 'User 1', 'Male', 'USA', '2018-01-01', 120), (2, 'User 2', 'Female', 'Canada', '2017-01-01', 9... | What is the total listening time for users from the USA? | SELECT SUM(listening_time) AS total_listening_time FROM users WHERE country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, name VARCHAR(255), category VARCHAR(255), price DECIMAL(5,2)); | Delete a product from the "products" table | DELETE FROM products WHERE product_id = 1001; | gretelai_synthetic_text_to_sql |
CREATE TABLE rd_expenditure (drug_name TEXT, quarter TEXT, year INTEGER, expenditure INTEGER); | What is the maximum R&D expenditure in Q3 2022? | SELECT MAX(expenditure) FROM rd_expenditure WHERE quarter = 'Q3' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorCountry VARCHAR(50), Amount DECIMAL(10,2)); INSERT INTO Donors (DonorID, DonorCountry, Amount) VALUES (1, 'United States', 12000), (2, 'Canada', 10000), (3, 'Mexico', 8000), (4, 'Brazil', 9000), (5, 'Argentina', 7000); | Which countries had the highest and lowest donation amounts in H2 of 2021? | SELECT DonorCountry, MAX(Amount) as HighestDonation, MIN(Amount) as LowestDonation FROM Donors WHERE YEAR(DonationDate) = 2021 AND MONTH(DonationDate) > 6 GROUP BY DonorCountry HAVING COUNT(DonorID) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, industry TEXT, founding_year INT, founder_gender TEXT); INSERT INTO companies (id, name, industry, founding_year, founder_gender) VALUES (1, 'MedHealth', 'Healthcare', 2015, 'Female'); INSERT INTO companies (id, name, industry, founding_year, founder_gender) VALUES (2, 'Tech I... | Find the number of companies founded by women in the healthcare sector that received funding in 2021. | SELECT COUNT(*) FROM companies JOIN funding_records ON companies.id = funding_records.company_id WHERE companies.founder_gender = 'Female' AND companies.industry = 'Healthcare' AND funding_records.funding_year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE member_attendance (member_id INT, class_type VARCHAR(50)); INSERT INTO member_attendance (member_id, class_type) VALUES (1, 'strength'), (2, 'cardio'), (3, 'yoga'), (4, 'pilates'), (5, 'cardio'); | List all members who have never attended a 'cardio' class. | SELECT member_id FROM member_attendance WHERE class_type NOT IN ('cardio'); | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryTech (TechID INT, TechName VARCHAR(255), TechCategory VARCHAR(255), ReleaseYear INT);CREATE TABLE CountryTech (CountryID INT, TechID INT, AcquisitionYear INT);CREATE TABLE Countries (CountryID INT, CountryName VARCHAR(255)); | Which countries have acquired a specific military technology in the past year? | SELECT C.CountryName FROM Countries C INNER JOIN CountryTech CT ON C.CountryID = CT.CountryID INNER JOIN MilitaryTech MT ON CT.TechID = MT.TechID WHERE MT.ReleaseYear BETWEEN EXTRACT(YEAR FROM CURRENT_DATE)-1 AND EXTRACT(YEAR FROM CURRENT_DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_floor (floor_name TEXT, location TEXT, min_depth FLOAT, max_depth FLOAT); INSERT INTO ocean_floor VALUES ('Central Indian Basin', 'Indian Ocean', 5449, 5570), ('Wharton Basin', 'Indian Ocean', 5904, 6036); | What is the minimum and maximum depth of the ocean floor in the Indian Ocean? | SELECT location, MIN(min_depth) AS min_depth, MAX(max_depth) AS max_depth FROM ocean_floor WHERE location = 'Indian Ocean' GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE museums (id INT, name TEXT, type TEXT); INSERT INTO museums (id, name, type) VALUES (1, 'abstract', 'museum'), (2, 'modernart', 'museum'); CREATE TABLE artworks (id INT, museum_id INT, title TEXT, creation_date DATE); INSERT INTO artworks (id, museum_id, title, creation_date) VALUES (1, 1, 'Composition VII... | What is the oldest artwork in the 'abstract' museum? | SELECT title, creation_date FROM artworks WHERE museum_id = 1 ORDER BY creation_date LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE soil_moisture (id INT PRIMARY KEY, farm_id INT, moisture INT, date DATE); | Delete all records from the table "soil_moisture" where the "moisture" is less than 30 | DELETE FROM soil_moisture WHERE moisture < 30; | gretelai_synthetic_text_to_sql |
CREATE TABLE treatments ( treatment_id INT PRIMARY KEY, name VARCHAR(100), description TEXT, condition_id INT, FOREIGN KEY (condition_id) REFERENCES conditions(condition_id)); | Create a table named 'treatments' | CREATE TABLE treatments ( treatment_id INT PRIMARY KEY, name VARCHAR(100), description TEXT, condition_id INT, FOREIGN KEY (condition_id) REFERENCES conditions(condition_id)); | gretelai_synthetic_text_to_sql |
CREATE TABLE emergency_calls (id INT, call_time TIMESTAMP, sector VARCHAR(20), city VARCHAR(20)); INSERT INTO emergency_calls VALUES (1, '2022-01-01 10:00:00', 'SectorA', 'Los Angeles'); CREATE TABLE community_sectors (id INT, sector VARCHAR(20), location VARCHAR(20)); INSERT INTO community_sectors VALUES (1, 'SectorA'... | What is the average response time for emergency calls in the city of Los Angeles, broken down by community policing sector? | SELECT c.sector, AVG(TIMESTAMPDIFF(MINUTE, call_time, '2022-01-01 11:00:00')) as avg_response_time FROM emergency_calls c JOIN community_sectors s ON c.sector = s.sector WHERE c.city = 'Los Angeles' GROUP BY c.sector; | gretelai_synthetic_text_to_sql |
INSERT INTO policyholders (id, name, age, gender, policy_type, state) VALUES (5, 'David Brown', 32, 'Male', 'Home', 'Texas'); | What is the count of policyholders in Texas with 'Auto' and 'Home' policy_types? | SELECT COUNT(DISTINCT policyholders.id) FROM policyholders WHERE state = 'Texas' AND (policy_type = 'Auto' OR policy_type = 'Home'); | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, diagnosis VARCHAR(255), age INT, county VARCHAR(255)); INSERT INTO patients (patient_id, diagnosis, age, county) VALUES (1, 'diabetes', 60, 'Briarwood'), (2, 'asthma', 30, 'Briarwood'), (3, 'diabetes', 55, 'Pineville'), (4, 'asthma', 40, 'Pineville'), (5, 'diabetes', 45, 'Oakwood'... | What is the number of patients diagnosed with diabetes and asthma in rural communities? | SELECT COUNT(*) FROM diabetes_asthma_patients WHERE county IN ('Briarwood', 'Pineville', 'Oakwood'); | gretelai_synthetic_text_to_sql |
CREATE TABLE PeacekeepingOperations (OperationID INT PRIMARY KEY, Location VARCHAR(50), Year INT, HumanitarianAssistance BOOLEAN); INSERT INTO PeacekeepingOperations (OperationID, Location, Year, HumanitarianAssistance) VALUES (1, 'Democratic Republic of the Congo', 2019, TRUE), (2, 'South Sudan', 2019, TRUE), (3, 'Cen... | What is the number of peacekeeping operations in Africa that involved humanitarian assistance in the last 3 years? | SELECT COUNT(*) AS 'Number of Operations' FROM PeacekeepingOperations WHERE Year BETWEEN 2019 AND 2021 AND HumanitarianAssistance = TRUE AND Location LIKE '%Africa%'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech;USE biotech;CREATE TABLE if not exists projects (id INT, country VARCHAR(255), type VARCHAR(255));INSERT INTO projects (id, country, type) VALUES (1, 'Brazil', 'Bioprocess'), (2, 'India', 'Genetic'), (3, 'USA', 'Bioprocess'), (4, 'Germany', 'Biosensor'), (5, 'Australia', 'Genetic'), ... | What are the top 2 countries with the most bioprocess engineering projects? | SELECT country, COUNT(*) as num_projects FROM projects WHERE type = 'Bioprocess' GROUP BY country ORDER BY num_projects DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE AnalyzedByCountry (Country TEXT, Analyzed INT); INSERT INTO AnalyzedByCountry (Country, Analyzed) VALUES ('UK', 2), ('USA', 3), ('France', 1); | What are the total number of artifacts analyzed by researchers from each country? | SELECT Country, SUM(Analyzed) FROM AnalyzedByCountry GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations_date_jpn (donation_id INT, donation_date DATE, country VARCHAR(255)); INSERT INTO donations_date_jpn (donation_id, donation_date, country) VALUES (11, '2021-02-01', 'Japan'), (12, '2021-03-15', 'Japan'), (13, '2021-01-20', 'Japan'), (14, '2021-04-05', 'Japan'); | How many donations were made in each month of 2021 in Japan? | SELECT EXTRACT(MONTH FROM donation_date) as month, COUNT(*) as num_donations FROM donations_date_jpn WHERE country = 'Japan' GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryProduction (id INT, year INT, country TEXT, vehicles INT); INSERT INTO MilitaryProduction (id, year, country, vehicles) VALUES (1, 2012, 'Germany', 250), (2, 2013, 'Germany', 270); | How many military vehicles were produced in Germany each year for the past decade? | SELECT YEAR(MilitaryProduction.year) as year, SUM(MilitaryProduction.vehicles) as total_vehicles FROM MilitaryProduction WHERE MilitaryProduction.country = 'Germany' GROUP BY YEAR(MilitaryProduction.year) ORDER BY YEAR(MilitaryProduction.year) DESC LIMIT 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(50), gender VARCHAR(10), age INT, location VARCHAR(50), likes INT); CREATE TABLE posts (id INT, user_id INT, content TEXT, timestamp TIMESTAMP, likes INT); | What is the total number of likes on posts created by users in 'New York' between '2021-06-01' and '2021-06-30'? | SELECT SUM(posts.likes) AS total_likes FROM posts JOIN users ON posts.user_id = users.id WHERE users.location = 'New York' AND posts.timestamp BETWEEN '2021-06-01' AND '2021-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE VehicleSales(id INT, type VARCHAR(20), country VARCHAR(20), year INT, quantity INT); | What is the market share of electric vehicles in the US over time? | SELECT type, country, AVG(quantity*100.0/SUM(quantity)) OVER (PARTITION BY type ORDER BY year ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) as market_share FROM VehicleSales WHERE country = 'US' AND type IN ('Electric', 'Gasoline') ORDER BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE national_security_budgets (id INT, agency_name VARCHAR(255), budget DECIMAL(10,2), year INT); INSERT INTO national_security_budgets (id, agency_name, budget, year) VALUES (1, 'FSB', 40000000, 2016); INSERT INTO national_security_budgets (id, agency_name, budget, year) VALUES (2, 'MI6', 55000000, 2018); | What is the average budget for national security agencies in the Pacific Islands in the last 5 years? | SELECT AVG(budget) AS avg_budget FROM national_security_budgets WHERE year BETWEEN 2016 AND 2021 AND agency_name IN ('FSB', 'MI6', 'ASIO', 'DGSE', 'SIB'); | gretelai_synthetic_text_to_sql |
CREATE TABLE species (id INT, name VARCHAR(255)); INSERT INTO species (id, name) VALUES (1, 'Oak'), (2, 'Pine'), (3, 'Maple'); CREATE TABLE harvest (id INT, species_id INT, year INT, volume DECIMAL(10,2)); INSERT INTO harvest (id, species_id, year, volume) VALUES (1, 1, 2020, 1200.50), (2, 2, 2020, 1500.75), (3, 3, 202... | What is the total volume of timber harvested by species in 2020? | SELECT SUM(volume) AS total_volume, species.name FROM harvest JOIN species ON harvest.species_id = species.id WHERE harvest.year = 2020 GROUP BY species.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE CountryStats (Country TEXT, ObesityRate FLOAT); INSERT INTO CountryStats VALUES ('Canada', 29.4); | What is the obesity rate in Canada? | SELECT ObesityRate FROM CountryStats WHERE Country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name TEXT, industry TEXT, founders TEXT, funding FLOAT); INSERT INTO startups (id, name, industry, founders, funding) VALUES (1, 'MECyber', 'Cybersecurity', 'Middle East', 4000000); | List the names of all startups founded by individuals from the Middle East in the cybersecurity sector with funding over 3 million dollars. | SELECT name FROM startups WHERE industry = 'Cybersecurity' AND founders = 'Middle East' AND funding > 3000000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, PlayerName VARCHAR(50));CREATE TABLE ESportsEvents (EventID INT, PlayerID INT);CREATE TABLE PlayerGames (PlayerID INT, GameID INT);CREATE TABLE Games (GameID INT, GameName VARCHAR(50)); | Identify all games that have been played by players who have also participated in ESports events. | SELECT g.GameName FROM Games g INNER JOIN PlayerGames pg ON g.GameID = pg.GameID INNER JOIN Players p ON pg.PlayerID = p.PlayerID INNER JOIN ESportsEvents e ON p.PlayerID = e.PlayerID; | gretelai_synthetic_text_to_sql |
CREATE TABLE therapy_outcome (therapy_type VARCHAR(50), outcome_status VARCHAR(50), treatment_center VARCHAR(50)); INSERT INTO therapy_outcome (therapy_type, outcome_status, treatment_center) VALUES ('Group Therapy', 'Success', 'clinic_j'), ('Family Therapy', 'Success', 'clinic_j'); | What is the success rate of 'Group Therapy' and 'Family Therapy' in 'clinic_j'? | SELECT therapy_type, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM therapy_outcome WHERE therapy_outcome.treatment_center = 'clinic_j' AND outcome_status = 'Success') FROM therapy_outcome WHERE (therapy_type = 'Group Therapy' OR therapy_type = 'Family Therapy') AND treatment_center = 'clinic_j'; | gretelai_synthetic_text_to_sql |
CREATE TABLE trams (route_id INT, time INT, line VARCHAR(10)); CREATE TABLE routes (route_id INT, line VARCHAR(10)); | What is the average time taken for each tram line in Berlin to complete a route? | SELECT r.line, AVG(t.time) FROM trams t JOIN routes r ON t.route_id = r.route_id GROUP BY r.line; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID INT, City VARCHAR(50), Year INT); CREATE TABLE Capitals (City VARCHAR(50), Country VARCHAR(50)); INSERT INTO Events VALUES (1, 'Washington', 2010, 12), (2, 'London', 2012, 15), (3, 'Ottawa', 2017, 18); INSERT INTO Capitals VALUES ('Washington', 'USA'), ('London', 'UK'), ('Ottawa', 'Canada')... | How many public events were held in the capital city for each year since 2010? | SELECT Capitals.City, Year, COUNT(*) AS Events FROM Events INNER JOIN Capitals ON Events.City = Capitals.City WHERE Capitals.City IN ('Washington', 'London', 'Ottawa') AND Year >= 2010 GROUP BY Year, Capitals.City; | gretelai_synthetic_text_to_sql |
CREATE TABLE MusicSales (SaleID INT, Genre VARCHAR(10), SalesAmount DECIMAL(10,2)); INSERT INTO MusicSales (SaleID, Genre, SalesAmount) VALUES (1, 'Jazz', 12.99), (2, 'Rock', 15.00), (3, 'Pop', 19.45), (4, 'Pop', 11.99); | What is the total revenue generated from digital music sales by each genre? | SELECT Genre, SUM(SalesAmount) as TotalRevenue FROM MusicSales GROUP BY Genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE Bridges (id INT, name TEXT, construction_date DATE, state TEXT); INSERT INTO Bridges (id, name, construction_date, state) VALUES (1, 'Bixby Creek Bridge', '1932-06-29', 'California'); | What are the names and construction dates of all bridges built before 2000 in California? | SELECT name, construction_date FROM Bridges WHERE state = 'California' AND construction_date < '2000-01-01' | gretelai_synthetic_text_to_sql |
CREATE TABLE creators (id INT, media_literacy_score FLOAT, country VARCHAR(20)); INSERT INTO creators (id, media_literacy_score, country) VALUES (1, 75.3, 'Germany'), (2, 82.1, 'France'), (3, 68.9, 'United States'); | What is the distribution of media literacy scores for creators in Germany? | SELECT media_literacy_score, COUNT(*) AS count, AVG(media_literacy_score) AS avg_score, STDDEV(media_literacy_score) AS stddev_score FROM creators WHERE country = 'Germany' GROUP BY media_literacy_score ORDER BY count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE restorative_justice_programs (program_id INT, state VARCHAR(20), start_date DATE); INSERT INTO restorative_justice_programs (program_id, state, start_date) VALUES (1, 'California', '2017-01-01'), (2, 'Texas', '2018-06-15'), (3, 'New York', '2019-02-03'); | What is the total number of restorative justice programs, by state, with a start date within the last 5 years? | SELECT restorative_justice_programs.state, COUNT(*) as num_programs FROM restorative_justice_programs WHERE restorative_justice_programs.start_date >= DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR) GROUP BY restorative_justice_programs.state; | gretelai_synthetic_text_to_sql |
CREATE TABLE membership_data (id INT, user_id INT, join_date DATE); CREATE TABLE user_profile (id INT, user_id INT, age INT, city VARCHAR(50)); INSERT INTO membership_data (id, user_id, join_date) VALUES (1, 1, '2021-01-01'), (2, 2, '2021-04-15'), (3, 3, '2021-03-01'); INSERT INTO user_profile (id, user_id, age, city) ... | How many users from each age group have joined the gym in the last 3 months, for users aged 18-24 and 35-45? | SELECT CASE WHEN age BETWEEN 18 AND 24 THEN '18-24' WHEN age BETWEEN 35 AND 45 THEN '35-45' END as age_group, COUNT(*) as user_count FROM membership_data m JOIN user_profile u ON m.user_id = u.user_id WHERE m.join_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) AND (age BETWEEN 18 AND 24 OR age BETWEEN 35 AND 45) GROU... | gretelai_synthetic_text_to_sql |
CREATE TABLE port (port_id INT, name TEXT);CREATE TABLE crane (crane_id INT, port_id INT, name TEXT);CREATE TABLE container (container_id INT, crane_id INT, weight INT, handled_at DATETIME);INSERT INTO port VALUES (8, 'Singapore'); | Identify the heaviest container handled daily by each crane in 'Singapore'. | SELECT crane.name, DATE(container.handled_at) AS handling_date, MAX(container.weight) AS heaviest_weight FROM crane JOIN port ON crane.port_id = port.port_id JOIN container ON crane.crane_id = container.crane_id WHERE port.name = 'Singapore' GROUP BY crane.name, handling_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE economic_diversification (id INT, project_name TEXT, sector TEXT); INSERT INTO economic_diversification (id, project_name, sector) VALUES (1, 'Renewable Energy', 'Energy'), (2, 'Smart Farming', 'Agriculture'); | How many economic diversification projects are present in the 'economic_diversification' table for each sector? | SELECT sector, COUNT(*) FROM economic_diversification GROUP BY sector; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (RestaurantID int, RestaurantName varchar(50), City varchar(50), State varchar(50), Country varchar(50)); INSERT INTO Restaurants (RestaurantID, RestaurantName, City, State, Country) VALUES (1, 'Tasty Thai', 'New York', 'NY', 'USA'), (2, 'Pizzeria Napoli', 'Rome', 'Italy', 'Italy'), (3, 'Sushi ... | What is the total revenue for each restaurant, ordered by total revenue in descending order? | SELECT RestaurantName, SUM(Revenue) as TotalRevenue FROM Restaurants JOIN Revenue ON Restaurants.RestaurantID = Revenue.RestaurantID GROUP BY RestaurantName ORDER BY TotalRevenue DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (donor_id INT, donation_date DATE, amount DECIMAL(10, 2)); INSERT INTO Donors (donor_id, donation_date, amount) VALUES (1, '2021-01-01', 50.00), (2, '2021-02-01', 100.00), (3, '2020-12-31', 75.00); | What is the total amount donated by all donors in 2021? | SELECT SUM(amount) FROM Donors WHERE YEAR(donation_date) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholders (id INT, name TEXT, city TEXT, state TEXT, total_claims INT); INSERT INTO policyholders (id, name, city, state, total_claims) VALUES (1, 'John Doe', 'Oakland', 'CA', 800); INSERT INTO policyholders (id, name, city, state, total_claims) VALUES (2, 'Jane Smith', 'San Francisco', 'CA', 1200); IN... | What is the total claim amount for policies in 'NY' and 'TX'? | SELECT SUM(total_claims) FROM policyholders WHERE state = 'NY' OR state = 'TX'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wastewater_treatment (id INT, location VARCHAR(255), treatment_type VARCHAR(255), capacity INT); | Show the location and treatment type for each wastewater treatment plant | SELECT location, treatment_type FROM wastewater_treatment; | gretelai_synthetic_text_to_sql |
CREATE TABLE deep_sea_missions (id INT, name VARCHAR(255), location VARCHAR(255), type VARCHAR(255)); INSERT INTO deep_sea_missions (id, name, location, type) VALUES (1, 'MARUM-Queen Mary 2 Expedition', 'Arctic Ocean', 'Research'), (2, 'Project Nereus', 'Atlantic Ocean', 'Robotic Vehicle'); | List all deep-sea exploration missions in the Arctic. | SELECT name FROM deep_sea_missions WHERE location = 'Arctic Ocean'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA IF NOT EXISTS renewable_energy; CREATE TABLE IF NOT EXISTS renewable_energy.solar_power ( project_id INT NOT NULL, location VARCHAR(255) NOT NULL, installed_capacity FLOAT NOT NULL, PRIMARY KEY (project_id)); | Find the sum of installed capacity for solar power projects in the renewable_energy schema. | SELECT SUM(installed_capacity) FROM renewable_energy.solar_power; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers_2 (worker_id INT, region VARCHAR(10), cultural_competency_score INT); INSERT INTO community_health_workers_2 (worker_id, region, cultural_competency_score) VALUES (1, 'Northeast', 70), (2, 'Southeast', 75), (3, 'Midwest', 80); | Find the community health worker with the lowest cultural competency score. | SELECT worker_id, MIN(cultural_competency_score) FROM community_health_workers_2; | gretelai_synthetic_text_to_sql |
CREATE TABLE funds (fund_id INT, community_id INT, amount DECIMAL(10, 2), donation_date DATE); INSERT INTO funds (fund_id, community_id, amount, donation_date) VALUES (1, 1, 5000.00, '2021-01-01'); | What is the total amount of funds raised by each community in 'community_development' schema? | SELECT community_id, SUM(amount) as total_funds_raised FROM funds GROUP BY community_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE supporters (id INT, name TEXT, country TEXT); INSERT INTO supporters (id, name, country) VALUES (1, 'John Doe', 'Syria'), (2, 'Jane Smith', 'Iraq'), (3, 'Aisha Ahmed', 'Afghanistan'), (4, 'Ahmed Raza', 'Pakistan'), (5, 'Marie Curie', 'France'); | What is the total number of supporters from each country? | SELECT country, COUNT(*) OVER (PARTITION BY country) AS total_supporters FROM supporters; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_debris (category TEXT, mass FLOAT); INSERT INTO space_debris (category, mass) VALUES ('Aluminum', 80.5), ('Titanium', 90.2), ('Copper', 60.3), ('Steel', 250.7), ('Other', 30.1); | What is the minimum mass of space debris in different categories? | SELECT category, MIN(mass) AS min_mass FROM space_debris GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_incidents (id INT, facility VARCHAR(255), incident_date DATE); INSERT INTO safety_incidents (id, facility, incident_date) VALUES (1, 'Facility A', '2021-03-15'), (2, 'Facility B', '2021-06-23'), (3, 'Facility A', '2021-11-09'); CREATE VIEW incident_counts AS SELECT facility, COUNT(*) as incident_cou... | How many safety incidents were recorded for each facility in 2021? | SELECT facility, incident_count FROM incident_counts | gretelai_synthetic_text_to_sql |
CREATE TABLE dept_services (dept VARCHAR(50), service VARCHAR(50)); INSERT INTO dept_services (dept, service) VALUES ('Infrastructure', 'Road Maintenance'), ('Infrastructure', 'Bridge Maintenance'), ('Education', 'K-12 Education'); | How many services are provided by each department? | SELECT dept, COUNT(service) FROM dept_services GROUP BY dept; | gretelai_synthetic_text_to_sql |
CREATE TABLE RuralInfrastructure (id INT, project_id INT, infrastructure_name VARCHAR(50), location VARCHAR(50), cost DECIMAL(10,2), start_date DATE, end_date DATE); INSERT INTO RuralInfrastructure (id, project_id, infrastructure_name, location, cost, start_date, end_date) VALUES (1, 1, 'Water Purification Plant', 'Rur... | What is the cost of rural infrastructure projects in 'Latin America' and 'Middle East' that were completed on or after 2022? | SELECT location, AVG(cost) FROM RuralInfrastructure WHERE end_date >= '2022-12-31' AND location IN ('Latin America', 'Middle East') GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE fan_data (fan_id INT, age_group VARCHAR(20), income INT); | What is the average income of fans by age group? | SELECT age_group, AVG(income) as avg_income FROM fan_data GROUP BY age_group; | gretelai_synthetic_text_to_sql |
CREATE TABLE Research (id INT, title VARCHAR(100), country VARCHAR(100), year INT, cost FLOAT); INSERT INTO Research (id, title, country, year, cost) VALUES (1, 'Project A', 'Germany', 2010, 100000), (2, 'Project B', 'Germany', 2011, 120000); | What is the total cost of astrophysics research conducted in Germany between 2010 and 2015? | SELECT SUM(cost) FROM Research WHERE country = 'Germany' AND year BETWEEN 2010 AND 2015; | gretelai_synthetic_text_to_sql |
CREATE TABLE shipments (id INT, source_country VARCHAR(20), destination_city VARCHAR(20), package_weight FLOAT, shipment_date DATE); INSERT INTO shipments (id, source_country, destination_city, package_weight, shipment_date) VALUES (1, 'Australia', 'Sydney', 12.5, '2022-02-10'), (2, 'Australia', 'Sydney', 18.3, '2021-0... | Determine the total weight of packages shipped from Australia to Sydney in the past year. | SELECT SUM(package_weight) FROM shipments WHERE source_country = 'Australia' AND destination_city = 'Sydney' AND shipment_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (id INT, name TEXT, zip TEXT, consultations INT); INSERT INTO community_health_workers (id, name, zip, consultations) VALUES (1, 'John Doe', '75201', 25), (2, 'Jane Smith', '77001', 35); CREATE VIEW tx_workers AS SELECT * FROM community_health_workers WHERE zip BETWEEN '75201' AND ... | What is the ZIP code of the community health worker who conducted the most mental health parity consultations in Texas? | SELECT zip FROM tx_workers WHERE consultations = (SELECT MAX(consultations) FROM tx_workers); | gretelai_synthetic_text_to_sql |
CREATE TABLE reporters (id INT, name VARCHAR(50), gender VARCHAR(10), age INT, role VARCHAR(20)); | What is the average age of female news reporters in the 'reporters' table? | SELECT AVG(age) FROM reporters WHERE gender = 'female' AND role = 'news_reporter'; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (game_id INT, date DATE, team TEXT, runs INT); | What is the maximum number of runs scored by a team in a single MLB game, and which team was it? | SELECT team, MAX(runs) FROM games; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_conservation_projects (id INT, name TEXT, location TEXT, ocean TEXT); INSERT INTO marine_conservation_projects (id, name, location, ocean) VALUES (1, 'Flower Garden Banks National Marine Sanctuary', 'Gulf of Mexico', 'Atlantic'), (2, 'Gulf of Mexico Marine Protected Areas', 'Gulf of Mexico', 'Atlant... | List all marine conservation projects in the Gulf of Mexico. | SELECT * FROM marine_conservation_projects WHERE ocean = 'Gulf of Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE workout_data(member_id INT, calories INT, workout_date DATE); INSERT INTO workout_data(member_id, calories, workout_date) VALUES (1,500,'2021-01-03'),(2,750,'2021-02-15'),(3,600,'2021-03-27'),(4,800,'2021-05-09'),(5,450,'2021-06-21'),(6,900,'2021-07-04'),(7,300,'2021-08-12'),(8,1000,'2021-09-26'),(9,550,'2... | What is the maximum calories burned by a member in a single workout? | SELECT MAX(calories) FROM workout_data; | gretelai_synthetic_text_to_sql |
CREATE TABLE RecyclingRates (Country VARCHAR(50), RecyclingRate FLOAT, WasteType VARCHAR(50)); INSERT INTO RecyclingRates (Country, RecyclingRate, WasteType) VALUES ('Japan', 20.8, 'Municipal'), ('South Korea', 59.3, 'Municipal'), ('China', 22.5, 'Municipal'), ('India', 14.0, 'Municipal'), ('Singapore', 61.0, 'Municipa... | Identify the top three countries with the highest recycling rates in Asia, excluding special waste types. | SELECT Country, RecyclingRate FROM RecyclingRates WHERE WasteType != 'Special' AND Region = 'Asia' ORDER BY RecyclingRate DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE district (id INT, name VARCHAR(20)); INSERT INTO district (id, name) VALUES (1, 'West'), (2, 'East'), (3, 'North'), (4, 'South'); CREATE TABLE calls (id INT, district_id INT, call_type VARCHAR(20), call_time TIMESTAMP); INSERT INTO calls (id, district_id, call_type, call_time) VALUES (1, 2, 'Medical', '202... | How many fire calls were there between 12:00 PM and 5:00 PM in the West district? | SELECT COUNT(*) FROM calls WHERE district_id = (SELECT id FROM district WHERE name = 'West') AND call_type = 'Fire' AND call_time BETWEEN '2021-06-01 12:00:00' AND '2021-06-01 17:00:00'; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (tour_id INT, hotel_id INT, engagement_date DATE, engagement_time TIME); CREATE TABLE hotels (hotel_id INT, hotel_name VARCHAR(255), country VARCHAR(255)); | What is the average virtual tour engagement time per hotel in the last month? | SELECT hotels.hotel_name, AVG(engagement_time) FROM virtual_tours INNER JOIN hotels ON virtual_tours.hotel_id = hotels.hotel_id WHERE engagement_date >= DATEADD(month, -1, GETDATE()) GROUP BY hotels.hotel_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE union_safety_region (union_id INT, region_id INT, safety_focus BOOLEAN); CREATE TABLE regions (region_id INT, region_name TEXT); INSERT INTO union_safety_region (union_id, region_id, safety_focus) VALUES (1, 1, true), (2, 1, false), (3, 2, true), (4, 2, true), (5, 3, false); INSERT INTO regions (region_id,... | Show the number of unions in each region that have a focus on worker safety. | SELECT regions.region_name, COUNT(*) FROM union_safety_region INNER JOIN regions ON union_safety_region.region_id = regions.region_id WHERE union_safety_region.safety_focus = true GROUP BY regions.region_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (id INT, name TEXT); INSERT INTO ports (id, name) VALUES (1, 'Port of Long Beach'); CREATE TABLE vessel_arrivals (id INT, port_id INT, vessel_id INT, arrival_date DATE); INSERT INTO vessel_arrivals (id, port_id, vessel_id, arrival_date) VALUES (1, 1, 1, '2022-01-01'), (2, 1, 1, '2022-01-15'), (3, 1, ... | Which vessels arrived in the Port of Long Beach more than once in the last month? | SELECT DISTINCT v.vessel_name FROM vessel_arrivals va JOIN vessels v ON v.id = va.vessel_id WHERE va.port_id = (SELECT id FROM ports WHERE name = 'Port of Long Beach') AND va.arrival_date BETWEEN DATEADD(day, -30, CURRENT_DATE) AND CURRENT_DATE GROUP BY v.vessel_name HAVING COUNT(v.vessel_name) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Rural_Infrastructure(project_id INT, project_name VARCHAR(50), country VARCHAR(50), cost FLOAT); INSERT INTO Rural_Infrastructure(project_id, project_name, country, cost) VALUES (1, 'Road Construction', 'France', 1000000), (2, 'Bridge Building', 'Germany', 1200000); | What is the total number of rural infrastructure projects in 'Europe' and their total cost? | SELECT COUNT(*), SUM(cost) as total_cost FROM Rural_Infrastructure WHERE country = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE music_platform (id INT, artist VARCHAR(100), gender VARCHAR(10), country VARCHAR(50), streams INT); | What is the total number of streams for all songs by female artists on the music streaming platform in the USA? | SELECT SUM(streams) as total_streams FROM music_platform WHERE gender = 'female' AND country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_operations (id INT PRIMARY KEY, operation_name VARCHAR(50), location VARCHAR(50), num_employees INT); | How many mining operations have more than 500 employees? | SELECT COUNT(*) FROM mining_operations WHERE num_employees > 500; | gretelai_synthetic_text_to_sql |
CREATE TABLE PolicyAdvocacyEvents (event_id INT, event_name VARCHAR(255), event_date DATE); INSERT INTO PolicyAdvocacyEvents (event_id, event_name, event_date) VALUES (1001, 'Accessibility Awareness Fair', '2022-05-01'), (1002, 'Disability Rights Rally', '2022-06-15'), (1003, 'Inclusive Education Symposium', '2022-09-2... | How many policy advocacy events were held in the 'PolicyAdvocacyEvents' table, and what are their names? | SELECT event_name, COUNT(*) FROM PolicyAdvocacyEvents GROUP BY event_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE strains (id INT, name TEXT, type TEXT); INSERT INTO strains (id, name, type) VALUES (11, 'Girl Scout Cookies', 'Hybrid'); CREATE TABLE sales (id INT, strain_id INT, retail_price DECIMAL, sale_date DATE, state TEXT); INSERT INTO sales (id, strain_id, retail_price, sale_date, state) VALUES (30, 11, 24.00, '2... | Calculate the moving average of daily sales for the strain 'Girl Scout Cookies' over the last 60 days in Washington State. | SELECT AVG(retail_price) OVER (ORDER BY sale_date ROWS BETWEEN 59 PRECEDING AND CURRENT ROW) FROM sales WHERE strain_id = 11 AND state = 'Washington'; | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_sales (id INT, garment_type VARCHAR(50), sustainability_rating INT, country VARCHAR(50), price DECIMAL(5,2), quantity INT); INSERT INTO garment_sales (id, garment_type, sustainability_rating, country, price, quantity) VALUES (1, 'jeans', 4, 'France', 79.99, 150), (2, 'jeans', 5, 'France', 99.99, 20... | Calculate the total revenue generated from the sales of sustainable denim jeans in France. | SELECT SUM(price * quantity) FROM garment_sales WHERE garment_type = 'jeans' AND country = 'France' AND sustainability_rating >= 4; | gretelai_synthetic_text_to_sql |
CREATE TABLE Landfills (LandfillID INT, LandfillName VARCHAR(50), Capacity INT, AvailableSpace INT, Location VARCHAR(50)); INSERT INTO Landfills (LandfillID, LandfillName, Capacity, AvailableSpace, Location) VALUES (2, 'South Landfill', 12000, 1800, 'Miami'); | What is the total processed waste quantity for recycling centers located in the same cities as landfills with available space less than 20% of their capacity? | SELECT SUM(ProcessedWasteQuantity) as TotalProcessed FROM RecyclingCenters rc INNER JOIN Landfills l ON rc.Location = l.Location WHERE l.AvailableSpace < 0.2 * l.Capacity; | gretelai_synthetic_text_to_sql |
CREATE TABLE facility_waste_data (facility_id INT, facility_location VARCHAR(255), waste_quantity INT, year INT); | What is the total waste produced by each production facility in the Middle East region for 2022? | SELECT facility_location, SUM(waste_quantity) AS total_waste FROM facility_waste_data WHERE facility_location LIKE 'Middle East%' AND year = 2022 GROUP BY facility_location; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_diplomacy (country VARCHAR(50), agreement_type VARCHAR(50), year INT); INSERT INTO defense_diplomacy (country, agreement_type, year) VALUES (), (), (); | Add a new record to the "defense_diplomacy" table with the following information: ('USA', 'arms_reduction_treaty', '2015') | INSERT INTO defense_diplomacy (country, agreement_type, year) VALUES ('USA', 'arms_reduction_treaty', 2015); | gretelai_synthetic_text_to_sql |
CREATE TABLE daily_gas_usage (gas_used BIGINT, date TIMESTAMP); | What is the average daily gas usage for the Bitcoin network in 2021? | SELECT AVG(gas_used) as avg_daily_gas_usage FROM daily_gas_usage WHERE date BETWEEN '2021-01-01' AND '2021-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_efficiency_projects (id INT, name VARCHAR(100), country VARCHAR(50), capacity_mw FLOAT); INSERT INTO energy_efficiency_projects (id, name, country, capacity_mw) VALUES (1, 'Project 1', 'USA', 75.6), (2, 'Project 2', 'Canada', 40.2), (3, 'Project 3', 'Brazil', 100.7); | Calculate the total capacity (in MW) of all energy efficiency projects in the world | SELECT SUM(capacity_mw) FROM energy_efficiency_projects; | gretelai_synthetic_text_to_sql |
CREATE TABLE pro_bono (pro_bono_id INT, date DATE, hours DECIMAL(10,2)); INSERT INTO pro_bono (pro_bono_id, date, hours) VALUES (1, '2022-01-01', 20.00), (2, '2022-01-15', 25.00), (3, '2022-02-01', 30.00), (4, '2022-02-15', 35.00), (5, '2022-03-01', 40.00), (6, '2022-03-15', 45.00); | What is the maximum pro bono hours for each month in the 'pro_bono' table, grouped by month? | SELECT EXTRACT(MONTH FROM date) as month, MAX(hours) FROM pro_bono GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE MalariaData (Country VARCHAR(50), Infections INT, Population INT); INSERT INTO MalariaData (Country, Infections, Population) VALUES ('Kenya', 15000, 53000000), ('Tanzania', 20000, 61000000); | What is the infection rate for malaria in Sub-Saharan Africa? | SELECT Country, (Infections / Population) * 100000 AS InfectionRate FROM MalariaData WHERE Country IN ('Kenya', 'Tanzania'); | gretelai_synthetic_text_to_sql |
CREATE TABLE menu (id INT, name TEXT, category TEXT, calories INT, is_vegan BOOLEAN); INSERT INTO menu (id, name, category, calories, is_vegan) VALUES (1, 'Chickpea Curry', 'Entrée', 800, true); INSERT INTO menu (id, name, category, calories, is_vegan) VALUES (2, 'Quinoa Salad', 'Side', 400, true); INSERT INTO menu (id... | What is the minimum and maximum calorie count for all vegan dishes in the menu table? | SELECT MIN(calories), MAX(calories) FROM menu WHERE is_vegan = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE DigitalExhibits (ExhibitID INT, Title VARCHAR(50), Curator VARCHAR(50)); INSERT INTO DigitalExhibits (ExhibitID, Title, Curator) VALUES (1, 'Digital Art Museum', 'Alice Johnson'); INSERT INTO DigitalExhibits (ExhibitID, Title, Curator) VALUES (2, 'Virtual Reality Experience', 'Bob Smith'); | List all digital exhibits along with their respective curators. | SELECT DigitalExhibits.Title, DigitalExhibits.Curator FROM DigitalExhibits; | gretelai_synthetic_text_to_sql |
CREATE TABLE product_launches(product_id INT, product_type VARCHAR(20), launch_date DATE, vegan BOOLEAN); INSERT INTO product_launches(product_id, product_type, launch_date, vegan) VALUES(1, 'Cleanser', '2020-01-01', TRUE), (2, 'Moisturizer', '2019-05-15', FALSE); | Display the number of vegan skincare products launched before 2021 | SELECT COUNT(*) FROM product_launches WHERE product_type LIKE 'Skincare%' AND vegan = TRUE AND YEAR(launch_date) < 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_technology (id INT, name VARCHAR(255), technology_type VARCHAR(255), development_budget DECIMAL(10,2));INSERT INTO military_technology (id, name, technology_type, development_budget) VALUES (1, 'F-35', 'Fighter Jet', 30000000.00), (2, 'M1 Abrams', 'Tank', 15000000.00), (3, 'Patriot', 'Missile Syst... | Update the military technology with ID 1 to have a new technology type and increase its development budget by 10%. | UPDATE military_technology SET technology_type = '5th Generation Fighter Jet', development_budget = development_budget * 1.10 WHERE id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE MarineSpecies (id INT PRIMARY KEY, species VARCHAR(255), population INT, conservation_status VARCHAR(255)); INSERT INTO MarineSpecies (id, species, population, conservation_status) VALUES (1, 'Bottlenose Dolphin', 600000, 'Least Concern'), (2, 'Blue Whale', 12000, 'Endangered'); | What is the average population of endangered marine species? | SELECT AVG(population) FROM MarineSpecies WHERE conservation_status = 'Endangered'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Aircraft (id INT, model VARCHAR(255), manufacturer VARCHAR(255), year_manufactured INT, total_flight_hours INT); INSERT INTO Aircraft (id, model, manufacturer, year_manufactured, total_flight_hours) VALUES (1, 'B747', 'Boeing', 1990, 50000); INSERT INTO Aircraft (id, model, manufacturer, year_manufactured,... | What is the average total flight hours for aircraft manufactured by Boeing? | SELECT AVG(total_flight_hours) FROM Aircraft WHERE manufacturer = 'Boeing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Bear_Population (id INT, species VARCHAR(10), population INT); CREATE TABLE Conservation_Efforts (id INT, species VARCHAR(10), efforts INT); | Find the total number of polar bears in the 'Bear_Population' table and the 'Conservation_Efforts' table, then sum the results. | SELECT SUM(population) FROM Bear_Population WHERE species = 'Polar Bear' UNION ALL SELECT SUM(efforts) FROM Conservation_Efforts WHERE species = 'Polar Bear' | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id VARCHAR(20), name VARCHAR(20)); INSERT INTO vessels (id, name) VALUES ('VES004', 'VESSEL004'), ('VES005', 'VESSEL005'); CREATE TABLE cargo (id INT, vessel_id VARCHAR(20), weight INT); INSERT INTO cargo (id, vessel_id, weight) VALUES (1, 'VES004', 12000), (2, 'VES004', 15000), (3, 'VES004', 1400... | What is the maximum cargo weight for VESSEL004 | SELECT MAX(weight) FROM cargo WHERE vessel_id = 'VES004'; | gretelai_synthetic_text_to_sql |
CREATE TABLE founders (id INT, company_id INT, gender VARCHAR(10), community_type VARCHAR(255)); CREATE TABLE companies (id INT, industry VARCHAR(255)); INSERT INTO founders SELECT 1, 1, 'Female', 'Rural'; INSERT INTO founders SELECT 2, 2, 'Male', 'Urban'; INSERT INTO founders SELECT 3, 3, 'Female', 'Rural'; INSERT INT... | Count the number of startups founded by women from rural communities in the agriculture sector | SELECT COUNT(DISTINCT companies.id) FROM founders JOIN companies ON founders.company_id = companies.id WHERE companies.industry = 'Agriculture' AND founders.gender = 'Female' AND founders.community_type = 'Rural'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MentalHealthFacilities (Id INT, Area VARCHAR(255), HealthEquityRating INT); INSERT INTO MentalHealthFacilities (Id, Area, HealthEquityRating) VALUES (1, 'Urban', 8); INSERT INTO MentalHealthFacilities (Id, Area, HealthEquityRating) VALUES (2, 'Rural', 7); INSERT INTO MentalHealthFacilities (Id, Area, Healt... | What is the minimum health equity rating for mental health facilities in urban areas? | SELECT MIN(HealthEquityRating) FROM MentalHealthFacilities WHERE Area = 'Urban'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (VolunteerID INT, VolunteerName TEXT); INSERT INTO Volunteers (VolunteerID, VolunteerName) VALUES (1, 'Gabriela'), (2, 'Hamza'), (3, 'Isabella'); CREATE TABLE Programs (ProgramID INT, ProgramName TEXT); INSERT INTO Programs (ProgramID, ProgramName) VALUES (1, 'Education'), (2, 'Health'), (3, 'Su... | How many unique volunteers have participated in programs with a total cost of supplies over $10,000? | SELECT COUNT(DISTINCT Volunteers.VolunteerID) AS TotalVolunteers FROM Volunteers INNER JOIN Programs ON Volunteers.VolunteerID = Programs.ProgramID INNER JOIN ProgramSupplies ON Programs.ProgramID = ProgramSupplies.ProgramID INNER JOIN Supplies ON ProgramSupplies.SupplyID = Supplies.SupplyID GROUP BY Programs.ProgramID... | gretelai_synthetic_text_to_sql |
CREATE TABLE consumers (consumer_id INT, product_name VARCHAR(50)); INSERT INTO consumers (consumer_id, product_name) VALUES (1, 'Clean Slate'), (2, 'Eye Have You'), (3, 'Clean Slate'), (4, 'Clean Slate'); | Find the number of unique consumers who purchased both a cruelty-free product and a product not certified as cruelty-free. | SELECT COUNT(DISTINCT consumers.consumer_id) FROM consumers JOIN products ON consumers.product_name = products.product_name WHERE products.is_cruelty_free = true AND consumers.consumer_id IN (SELECT consumer_id FROM consumers WHERE product_name NOT IN (SELECT product_name FROM products WHERE is_cruelty_free = true)); | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (vessel_id INT, vessel_name VARCHAR(50), flag_state VARCHAR(50)); CREATE TABLE voyages (voyage_id INT, vessel_id INT, voyage_start_date DATE, voyage_end_date DATE); INSERT INTO vessels VALUES (1, 'MSC Maya', 'Panama'); INSERT INTO voyages VALUES (1, 1, '2023-01-01', '2023-01-15'); INSERT INTO voyag... | How many voyages were completed by each vessel in the first half of 2023? | SELECT vessel_name, COUNT(*) as num_voyages FROM voyages JOIN vessels ON voyages.vessel_id = vessels.vessel_id WHERE EXTRACT(YEAR FROM voyage_start_date) = 2023 AND EXTRACT(MONTH FROM voyage_start_date) <= 6 GROUP BY vessel_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_safety (id INT, make VARCHAR(50), model VARCHAR(50), type VARCHAR(50), mpg FLOAT); | What is the average miles per gallon (MPG) for electric vehicles in the vehicle_safety table? | SELECT AVG(mpg) FROM vehicle_safety WHERE type = 'Electric'; | gretelai_synthetic_text_to_sql |
CREATE TABLE blockchain_transactions (transaction_id INT PRIMARY KEY, sender VARCHAR(255), receiver VARCHAR(255), timestamp TIMESTAMP, amount DECIMAL(10,2)); INSERT INTO blockchain_transactions (transaction_id, sender, receiver, timestamp, amount) VALUES (4, 'David', 'Eve', '2022-01-04 18:00:00', 70.00); | Who received the most funds in blockchain transactions during the week of January 1, 2022? | SELECT receiver, SUM(amount) as total_received FROM blockchain_transactions WHERE timestamp BETWEEN '2022-01-01 00:00:00' AND '2022-01-07 23:59:59' GROUP BY receiver ORDER BY total_received DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artifacts (ArtifactID INT, ArtifactType VARCHAR(50), Quantity INT); INSERT INTO Artifacts (ArtifactID, ArtifactType, Quantity) VALUES (1, 'Pottery', 25), (2, 'Tools', 12), (3, 'Pottery', 30); | Insert new artifact types and quantities? | INSERT INTO Artifacts (ArtifactID, ArtifactType, Quantity) VALUES (4, 'Jewelry', 15), (5, 'Beads', 20); | gretelai_synthetic_text_to_sql |
CREATE TABLE SupplyChainTransparency(supplier_id INT, supplier_country VARCHAR(50), is_organic BOOLEAN, is_vegan BOOLEAN, avg_rating FLOAT); | What is the average rating for suppliers in the SupplyChainTransparency table who supply both organic and vegan products? | SELECT AVG(avg_rating) FROM SupplyChainTransparency WHERE is_organic = TRUE AND is_vegan = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE VesselArrivals (ID INT, VesselName VARCHAR(50), ArrivalPort VARCHAR(50), ArrivalDate DATE); INSERT INTO VesselArrivals (ID, VesselName, ArrivalPort, ArrivalDate) VALUES (1, 'Test Vessel 1', 'Tokyo', '2022-01-01'), (2, 'Test Vessel 2', 'Osaka', '2022-01-02'), (3, 'Test Vessel 3', 'Yokohama', '2022-01-03'); | What is the number of vessels that arrived in Japan ports in the last 30 days? | SELECT COUNT(*) FROM VesselArrivals WHERE ArrivalDate >= DATEADD(day, -30, GETDATE()) AND ArrivalPort LIKE 'Japan%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Age INT, Gender VARCHAR(10), GamesPlayed INT, Country VARCHAR(20)); | What is the total number of games played by players in each country, and what is the percentage of female players in each country? | SELECT Country, COUNT(*) as TotalGames, COUNT(*) FILTER (WHERE Gender = 'Female') * 100.0 / COUNT(*) as PercentageFemale FROM Players GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artifacts (ArtifactID int, SiteID int, Name varchar(50), Description text, DateFound date); | Insert a new artifact into the Artifacts table | INSERT INTO Artifacts (ArtifactID, SiteID, Name, Description, DateFound) VALUES (1, 1, 'Artifact X', 'An interesting artifact', '2012-02-03'); | gretelai_synthetic_text_to_sql |
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