context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE if not exists engagement (user_id INT, country VARCHAR(50), score FLOAT, month INT, year INT); INSERT INTO engagement (user_id, country, score) VALUES (1, 'Brazil', 10.5), (2, 'Brazil', 12.0); | What is the minimum engagement score for users in Brazil in December 2021? | SELECT MIN(score) FROM engagement WHERE country = 'Brazil' AND month = 12 AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (id INT, strain VARCHAR(50), state VARCHAR(50), year INT, yield FLOAT); INSERT INTO production (id, strain, state, year, yield) VALUES (1, 'OG Kush', 'Washington', 2021, 3.5), (2, 'Blue Dream', 'California', 2021, 4.0), (3, 'Sour Diesel', 'California', 2021, 3.0); | What was the minimum production yield (in pounds) for the strain 'Blue Dream' in the state of California in 2021? | SELECT MIN(yield) FROM production WHERE strain = 'Blue Dream' AND state = 'California' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE Transactions (TransactionID int, DAppName varchar(50), Country varchar(50), Transactions int); INSERT INTO Transactions (TransactionID, DAppName, Country, Transactions) VALUES (1, 'DApp1', 'USA', 1000), (2, 'DApp2', 'Canada', 2000), (3, 'DApp3', 'USA', 3000); | Find the decentralized application with the highest transaction count for each country in descending order. | SELECT Country, DAppName, MAX(Transactions) as MaxTransactions FROM Transactions GROUP BY Country, DAppName ORDER BY MaxTransactions DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE author (author_id INT, author_name VARCHAR(255)); CREATE TABLE research_paper (paper_id INT, paper_title VARCHAR(255), author_id INT, category VARCHAR(255)); INSERT INTO author (author_id, author_name) VALUES (1, 'Dr. Grace Hopper'); INSERT INTO research_paper (paper_id, paper_title, author_id, category) V... | Determine the number of unique AI safety and algorithmic fairness research papers published by each author, sorted by the total count in descending order. | SELECT a.author_name, COUNT(DISTINCT rp.paper_id) as paper_count FROM author a INNER JOIN research_paper rp ON a.author_id = rp.author_id WHERE rp.category IN ('AI Safety', 'Algorithmic Fairness') GROUP BY a.author_name ORDER BY paper_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE attractions (id INT, name VARCHAR(50), city VARCHAR(50), country VARCHAR(50), type VARCHAR(50)); | Insert a new record into the "attractions" table with id 201, name "Sustainable Winery", city "Napa", country "USA", and type "Wine Tasting" | INSERT INTO attractions VALUES (201, 'Sustainable Winery', 'Napa', 'USA', 'Wine Tasting'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity (id INT, law_name TEXT, state TEXT); INSERT INTO mental_health_parity (id, law_name, state) VALUES (1, 'Parity Act 1', 'NY'), (2, 'Parity Act 2', 'NY'), (3, 'Parity Act 3', 'CA'); | Find the number of distinct mental health parity laws in each state. | SELECT state, COUNT(DISTINCT law_name) as num_laws FROM mental_health_parity GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE Suppliers (supplier_id INT, supplier_name VARCHAR(255), country VARCHAR(255), industry VARCHAR(255)); INSERT INTO Suppliers (supplier_id, supplier_name, country, industry) VALUES (1, 'ABC Inc.', 'USA', 'Textile'), (2, 'XYZ Ltd.', 'Brazil', 'Garment'), (3, 'LMN Corp.', 'China', 'Accessories'), (4, ' DEF Gmb... | What is the total quantity of garments supplied by companies based in Africa or South America? | SELECT SUM(quantity) FROM (SELECT 1 AS quantity UNION ALL SELECT 0) q LEFT JOIN Suppliers s ON q.quantity = 1 WHERE s.country IN ('Africa', 'South America'); | gretelai_synthetic_text_to_sql |
CREATE TABLE animal_population (id INT, species VARCHAR(255), population INT); | How many unique species are there in 'animal_population' table? | SELECT species FROM animal_population GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels(id INT, name VARCHAR(255)); INSERT INTO vessels VALUES (1, 'MSC Chariot'); CREATE TABLE cargo(id INT, name VARCHAR(255), delivery_time INT, vessel_id INT, port_id INT); CREATE TABLE ports(id INT, name VARCHAR(255)); | What are the names and average delivery times of all cargoes that were transported by the vessel 'MSC Chariot' and unloaded at the port of Oakland? | SELECT cargo.name, AVG(cargo.delivery_time) FROM cargo INNER JOIN vessels ON cargo.vessel_id = vessels.id INNER JOIN ports ON cargo.port_id = ports.id WHERE vessels.name = 'MSC Chariot' AND ports.name = 'Oakland' GROUP BY cargo.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE eu_countries (id INT, country VARCHAR(255), num_registered_voters INT); INSERT INTO eu_countries (id, country, num_registered_voters) VALUES (1, 'Germany', 61478000); | Identify the top 5 countries with the most registered voters in the European Union. | SELECT country, num_registered_voters FROM eu_countries ORDER BY num_registered_voters DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE teachers (teacher_id INT, teacher_name VARCHAR(50), email VARCHAR(50), phone VARCHAR(15)); INSERT INTO teachers (teacher_id, teacher_name, email, phone) VALUES (1, 'John Doe', 'johndoe@email.com', '555-123-4567'), (2, 'Jane Smith', 'janesmith@email.com', '555-987-6543'), (3, 'Jim Brown', 'jimbrown@email.... | Which teachers have participated in professional development programs related to open pedagogy and what are their contact details? | SELECT t.teacher_name, t.email, t.phone, pd.program_name FROM teachers t JOIN professional_development pd ON t.teacher_id = pd.teacher_id WHERE pd.program_name LIKE '%open pedagogy%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE garments (id INT, category VARCHAR(255), subcategory VARCHAR(255), sustainability VARCHAR(50), price DECIMAL(10, 2), country VARCHAR(50)); INSERT INTO garments (id, category, subcategory, sustainability, price, country) VALUES (1, 'Activewear', 'Tops', 'Eco-Friendly', 49.99, 'Australia'); INSERT INTO garme... | What is the maximum retail price of eco-friendly activewear sold in Australia? | SELECT MAX(price) FROM garments WHERE category = 'Activewear' AND sustainability = 'Eco-Friendly' AND country = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_records (id INT, vessel_id INT, incident_type VARCHAR(20), resolution VARCHAR(20)); | Delete records in the safety_records table where the vessel_id is 801 and incident_type is 'Grounding' | DELETE FROM safety_records WHERE vessel_id = 801 AND incident_type = 'Grounding'; | gretelai_synthetic_text_to_sql |
CREATE TABLE daily_data_usage(subscriber_id INT, usage FLOAT, date DATE); | What is the average daily data usage for the top 10 data consuming mobile customers? | SELECT subscriber_id, AVG(usage) FROM daily_data_usage WHERE date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY) GROUP BY subscriber_id ORDER BY AVG(usage) DESC LIMIT 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE audience (id INT, age INT, gender VARCHAR(10), location VARCHAR(100)); | Insert a new record in the 'audience' table | INSERT INTO audience (id, age, gender, location) VALUES (1, 30, 'Female', 'New York'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (Id INT PRIMARY KEY, FirstName VARCHAR(50), LastName VARCHAR(50), Age INT, Gender VARCHAR(10), State VARCHAR(50)); CREATE TABLE Policies (Id INT PRIMARY KEY, PolicyholderId INT, PolicyType VARCHAR(50), CoverageAmount DECIMAL(10,2), FOREIGN KEY (PolicyholderId) REFERENCES Policyholders(Id)); C... | What is the total premium amount and number of policies for policyholders who have a risk assessment score less than 60 and live in the state of Texas? | SELECT P.State, U.RiskAssessmentScore, SUM(U.Premium) as TotalPremiumAmount, COUNT(P.Id) as NumberOfPolicies FROM Policyholders P JOIN Policies PL ON P.Id = PL.PolicyholderId JOIN Underwriting U ON P.Id = U.PolicyholderId WHERE P.State = 'Texas' AND U.RiskAssessmentScore < 60 GROUP BY P.State ORDER BY TotalPremiumAmoun... | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_adaptation (id INT, project_name VARCHAR(50), country VARCHAR(50), year INT, cost FLOAT); INSERT INTO climate_adaptation (id, project_name, country, year, cost) VALUES (1, 'Coastal Protection', 'Brazil', 2018, 2000000); | What is the average cost of climate adaptation projects in Latin America over the last 5 years? | SELECT AVG(cost) FROM climate_adaptation WHERE country LIKE '%Latin%' AND year BETWEEN (YEAR(CURRENT_DATE) - 5) AND YEAR(CURRENT_DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE drugs (id INT, name VARCHAR(255), category VARCHAR(255)); CREATE TABLE rd_expenditures (id INT, drug_id INT, year INT, amount DECIMAL(10, 2)); | What is the total R&D expenditure for a specific drug in a certain year? | SELECT SUM(rd_expenditures.amount) FROM rd_expenditures JOIN drugs ON rd_expenditures.drug_id = drugs.id WHERE drugs.name = 'DrugA' AND rd_expenditures.year = 2020; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA agriculture; CREATE TABLE crops (farmer_id INT, crop_production INT, crop_year INT, region VARCHAR(50)); INSERT INTO crops (farmer_id, crop_production, crop_year, region) VALUES (1, 800, 2022, 'Asia'), (2, 900, 2022, 'Africa'), (3, 700, 2021, 'Europe'), (4, 600, 2022, 'Asia'), (5, 1000, 2021, 'Africa'); | Calculate the average crop production by farmers in the 'agriculture' schema, grouped by region, for crops produced in 2022. | SELECT region, AVG(crop_production) FROM agriculture.crops WHERE crop_year = 2022 GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE routes (route_id INT, route_name TEXT); INSERT INTO routes (route_id, route_name) VALUES (101, 'Bus Route 101'); CREATE TABLE fare_collection (collection_id INT, passenger_type TEXT, route_id INT, fare_amount DECIMAL); INSERT INTO fare_collection (collection_id, passenger_type, route_id) VALUES (1, 'Ambula... | What is the total fare collected from passengers with disabilities for bus route 101? | SELECT SUM(fare_amount) FROM fare_collection JOIN routes ON fare_collection.route_id = routes.route_id WHERE passenger_type = 'Wheelchair'; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name VARCHAR(255)); INSERT INTO teams (team_id, team_name) VALUES (1, 'Golden State Warriors'), (2, 'Los Angeles Lakers'); CREATE TABLE games (game_id INT, home_team_id INT, away_team_id INT); INSERT INTO games (game_id, home_team_id, away_team_id) VALUES (1, 1, 2), (2, 2, 1), (3, ... | What is the total number of home games played by each team? | SELECT t.team_name, COUNT(CASE WHEN g.home_team_id = t.team_id THEN 1 END) as home_games_played FROM teams t INNER JOIN games g ON t.team_id IN (g.home_team_id, g.away_team_id) GROUP BY t.team_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Public_Transportation (Id INT, System VARCHAR(50), Ridership INT, Year INT); INSERT INTO Public_Transportation (Id, System, Ridership, Year) VALUES (1, 'Tokyo Metro', 5500000, 2023); INSERT INTO Public_Transportation (Id, System, Ridership, Year) VALUES (2, 'Paris Metro', 4500000, 2023); | Identify the public transportation systems with the highest and lowest ridership in 2023? | SELECT System, Ridership FROM (SELECT System, Ridership, ROW_NUMBER() OVER (ORDER BY Ridership DESC) AS Rank, COUNT(*) OVER () AS Total FROM Public_Transportation WHERE Year = 2023) AS Subquery WHERE Rank = 1 OR Rank = Total; | gretelai_synthetic_text_to_sql |
CREATE TABLE organic_rice_production (country VARCHAR(50), crop VARCHAR(50), production FLOAT); INSERT INTO organic_rice_production (country, crop, production) VALUES ('Thailand', 'Rice', 2500.0), ('Vietnam', 'Rice', 3000.0), ('Indonesia', 'Rice', 2000.0); | What is the total production (in tons) of organic rice in Southeast Asia? | SELECT SUM(production) FROM organic_rice_production WHERE country IN ('Thailand', 'Vietnam', 'Indonesia') AND crop = 'Rice'; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours_v2 (hotel_region VARCHAR(20), engagement_time TIME); INSERT INTO virtual_tours_v2 (hotel_region, engagement_time) VALUES ('Africa', '00:10:00'), ('Middle East', '00:25:00'), ('South America', '00:15:00'); | What is the maximum virtual tour engagement time for hotels in the 'Middle East' region? | SELECT MAX(engagement_time) FROM virtual_tours_v2 WHERE hotel_region = 'Middle East'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ConsumerPreference (ProductID INT, ConsumerID INT, Preference VARCHAR(255)); INSERT INTO ConsumerPreference (ProductID, ConsumerID, Preference) VALUES (4, 6, 'Likes'), (4, 7, 'Likes'), (5, 6, 'Likes'), (5, 7, 'Dislikes'); CREATE TABLE Product (ProductID INT, ProductName VARCHAR(255), Price DECIMAL(5,2)); I... | List the cruelty-free certified products and their preference data. | SELECT P.ProductName, C.Preference FROM CrueltyFree CF INNER JOIN Product P ON CF.ProductID = P.ProductID INNER JOIN ConsumerPreference C ON P.ProductID = C.ProductID; | gretelai_synthetic_text_to_sql |
CREATE TABLE Garments (garment_id INT, garment_produced_fair_labor BOOLEAN, garment_country VARCHAR(50)); | What is the total number of garments produced using fair labor practices in Turkey? | SELECT COUNT(*) AS total_garments FROM Garments WHERE garment_produced_fair_labor = TRUE AND garment_country = 'Turkey'; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, industry TEXT, founders_underrepresented_communities BOOLEAN, funding FLOAT); | What is the average funding received by companies founded by people from underrepresented communities in the clean energy sector? | SELECT AVG(funding) FROM companies WHERE founders_underrepresented_communities = true AND industry = 'clean energy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE dates (transaction_id INT, transaction_date DATE); INSERT INTO dates (transaction_id, transaction_date) VALUES (1, '2022-01-03'), (2, '2022-01-04'), (3, '2022-01-05'), (4, '2022-01-06'); CREATE TABLE customers_4 (customer_id INT, name VARCHAR(50), region VARCHAR(20)); INSERT INTO customers_4 (customer_id, ... | How many transactions were made by customers in the Americas region on a Wednesday? | SELECT COUNT(*) FROM transactions_5 t JOIN dates d ON t.transaction_id = d.transaction_id JOIN customers_4 c ON t.customer_id = c.customer_id WHERE EXTRACT(DAY FROM d.transaction_date) = 3 AND c.region = 'Americas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, country VARCHAR(50), opted_in_push BOOLEAN); | List the top 5 countries with the most users who have opted in to receive push notifications, along with the total number of users in each country. | SELECT country, SUM(CASE WHEN opted_in_push THEN 1 ELSE 0 END) as total_opted_in FROM users GROUP BY country ORDER BY total_opted_in DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, drug_id INT, region VARCHAR(255), sales_amount DECIMAL(10, 2), quarter INT, year INT); | What were the average sales per drug in the West region in Q4 2021? | SELECT d.drug_name, AVG(s.sales_amount) as avg_sales FROM sales s JOIN drugs d ON s.drug_id = d.drug_id WHERE s.region = 'West' AND s.quarter = 4 AND s.year = 2021 GROUP BY d.drug_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE affordable_housing (property_id INT, building_type VARCHAR(255), PRIMARY KEY (property_id)); INSERT INTO affordable_housing (property_id, building_type) VALUES (1, 'Apartment'), (2, 'Townhouse'), (3, 'Single-family'), (4, 'Townhouse'); | List the 'property_id' and 'building_type' of affordable townhouses in the 'affordable_housing' table. | SELECT property_id, building_type FROM affordable_housing WHERE building_type = 'Townhouse' AND price < 300000; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtifactAnalysis (AnalysisID int, ArtifactID int, AnalystName text); INSERT INTO ArtifactAnalysis (AnalysisID, ArtifactID, AnalystName) VALUES (1, 2, 'John Doe'); | Who analyzed the artifacts from site 'SiteB'? | SELECT AnalystName FROM ArtifactAnalysis INNER JOIN Artifacts ON ArtifactAnalysis.ArtifactID = Artifacts.ArtifactID WHERE Artifacts.Name = 'SiteB'; | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_disputes (id INT, year INT, days_of_work_stoppage INT, industry VARCHAR(255)); INSERT INTO labor_disputes (id, year, days_of_work_stoppage, industry) VALUES (1, 2022, 45, 'manufacturing'), (2, 2021, 32, 'manufacturing'), (3, 2022, 38, 'retail'); | How many labor disputes occurred in '2022' in the 'manufacturing' schema, which resulted in a work stoppage of more than 30 days? | SELECT COUNT(*) FROM labor_disputes WHERE year = 2022 AND days_of_work_stoppage > 30 AND industry = 'manufacturing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PlayerGames (PlayerID INT, Game TEXT, Date DATE); INSERT INTO PlayerGames (PlayerID, Game, Date) VALUES (1, 'Astral Archers', '2022-03-01'), (2, 'Astral Archers', '2022-03-05'), (3, 'Galactic Golf', '2022-03-03'); | Count the number of unique players who have played "Astral Archers" and "Galactic Golf" in the last 30 days. | SELECT COUNT(DISTINCT PlayerID) FROM PlayerGames WHERE Game IN ('Astral Archers', 'Galactic Golf') AND Date >= CURDATE() - INTERVAL 30 DAY; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (donor_id INT PRIMARY KEY, donation_amount DECIMAL(10, 2), donation_date DATE, first_donation_date DATE); INSERT INTO donors (donor_id, donation_amount, donation_date, first_donation_date) VALUES (1, 250, '2022-01-01', '2022-01-01'), (2, 750, '2022-01-03', '2021-01-01'), (3, 900, '2022-02-05', '2022... | What is the total amount donated by new donors (those who have donated for the first time) in the year 2022? | SELECT SUM(donation_amount) FROM donors WHERE YEAR(donation_date) = 2022 AND YEAR(first_donation_date) = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name TEXT, founding_year INT); INSERT INTO company (id, name, founding_year) VALUES (10, 'InnoGreen', 2016), (11, 'GreenVentures', 2017), (12, 'EcoPower', 2015); CREATE TABLE diversity_metrics (id INT, company_id INT, diversity_score DECIMAL); INSERT INTO diversity_metrics (id, company_id,... | Delete records from the diversity_metrics table for companies founded before 2017 | WITH cte_company AS (DELETE FROM company WHERE founding_year < 2017 RETURNING id) DELETE FROM diversity_metrics WHERE company_id IN (SELECT id FROM cte_company); | gretelai_synthetic_text_to_sql |
CREATE TABLE professionals (id INT, name TEXT, country TEXT, age INT, profession TEXT); | What is the minimum age requirement for medical professionals in Colombia? | SELECT MIN(age) FROM professionals WHERE country = 'Colombia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), sustainable_practices BOOLEAN); CREATE TABLE products (id INT PRIMARY KEY, name VARCHAR(255), category VARCHAR(255), supplier_id INT, sustainable BOOLEAN, FOREIGN KEY (supplier_id) REFERENCES suppliers(id)); INSERT INTO suppliers (id,... | List suppliers who do not provide any sustainable products. | SELECT name FROM suppliers WHERE id NOT IN (SELECT supplier_id FROM products WHERE sustainable = TRUE); | gretelai_synthetic_text_to_sql |
CREATE TABLE returns (id INT, value FLOAT, origin VARCHAR(20), destination VARCHAR(20), returned_date DATE); INSERT INTO returns (id, value, origin, destination, returned_date) VALUES (1, 120, 'California', 'New York', '2022-04-15'), (2, 80, 'California', 'New York', '2022-06-01'); | How many returns were there from California to New York with a value greater than $100 in Q2? | SELECT COUNT(*) FROM returns WHERE origin = 'California' AND destination = 'New York' AND value > 100 AND MONTH(returned_date) BETWEEN 4 AND 6; | gretelai_synthetic_text_to_sql |
CREATE TABLE mitigation_projects (id INT PRIMARY KEY, name VARCHAR(100), location VARCHAR(50), start_date DATE, end_date DATE, budget DECIMAL(10,2)); INSERT INTO mitigation_projects (id, name, location, start_date, end_date, budget) VALUES (1, 'Solar Farm', 'California', '2020-01-01', '2022-12-31', 5000000.00); | Add data to the 'mitigation_projects' table | INSERT INTO mitigation_projects (id, name, location, start_date, end_date, budget) VALUES (1, 'Solar Farm', 'California', '2020-01-01', '2022-12-31', 5000000.00); | gretelai_synthetic_text_to_sql |
CREATE TABLE Student (StudentID INT, StudentName VARCHAR(50)); INSERT INTO Student (StudentID, StudentName) VALUES (1, 'John Doe'); INSERT INTO Student (StudentID, StudentName) VALUES (2, 'Jane Smith'); CREATE TABLE SupportProgram (ProgramID INT, ProgramName VARCHAR(50), StudentID INT); INSERT INTO SupportProgram (Prog... | Find the number of support programs each student is enrolled in, ordered by the number of enrollments in descending order. | SELECT StudentID, COUNT(*) AS Enrollments FROM SupportProgram GROUP BY StudentID ORDER BY Enrollments DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE IF NOT EXISTS sales (id INT, product VARCHAR(50), region VARCHAR(50), quantity INT); INSERT INTO sales (id, product, region, quantity) VALUES (1, 'productA', 'regionB', 100), (2, 'productB', 'regionC', 50); | How many 'productA' items were sold in 'regionB'? | SELECT SUM(quantity) FROM sales WHERE product = 'productA' AND region = 'regionB'; | gretelai_synthetic_text_to_sql |
CREATE TABLE GREEN_LINE (station_name TEXT, num_docks_available INT); INSERT INTO GREEN_LINE (station_name, num_docks_available) VALUES ('Government Center', 400), ('Park Street', 350), ('North Station', 500); | Which stations on the Green Line have more than 300 docks available for bike return? | SELECT station_name FROM GREEN_LINE WHERE num_docks_available > 300; | gretelai_synthetic_text_to_sql |
CREATE TABLE GreenBuildingTypes (TypeID INT, TypeName VARCHAR(50));CREATE TABLE GreenBuildings (BuildingID INT, TypeID INT, YearBuilt INT, CityID INT); | List all green building types and the number of each type constructed in a specific year, for buildings in New York City. | SELECT GreenBuildingTypes.TypeName, COUNT(GreenBuildings.BuildingID) FROM GreenBuildingTypes INNER JOIN GreenBuildings ON GreenBuildingTypes.TypeID = GreenBuildings.TypeID WHERE GreenBuildings.YearBuilt = 2020 AND GreenBuildings.CityID = 1 GROUP BY GreenBuildingTypes.TypeName; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkers (ID INT, Gender VARCHAR(10), Age INT, State VARCHAR(50), LGBTQ BOOLEAN); INSERT INTO CommunityHealthWorkers (ID, Gender, Age, State, LGBTQ) VALUES (1, 'Female', 45, 'California', FALSE); INSERT INTO CommunityHealthWorkers (ID, Gender, Age, State, LGBTQ) VALUES (2, 'Male', 50, 'Califo... | What is the minimum age of community health workers who identify as LGBTQ+ in California? | SELECT MIN(Age) FROM CommunityHealthWorkers WHERE LGBTQ = TRUE AND State = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE grant (id INT, researcher VARCHAR(50), gender VARCHAR(10), department VARCHAR(30), amount FLOAT, date DATE); INSERT INTO grant (id, researcher, gender, department, amount, date) VALUES (1, 'Tanvi', 'Female', 'Physics', 200000.00, '2021-01-01'), (2, 'Umair', 'Male', 'Physics', 150000.00, '2020-07-14'); | Show the total number of research grants awarded to each gender, sorted by the total amount. | SELECT gender, SUM(amount) as total_amount FROM grant GROUP BY gender ORDER BY total_amount DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE route_segments (route_id INT, segment_id INT, start_station VARCHAR(255), end_station VARCHAR(255), fare FLOAT); | What is the average fare for each route segment in the 'route_segments' table? | SELECT route_id, segment_id, AVG(fare) as avg_fare FROM route_segments GROUP BY route_id, segment_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_projects (project_id INT, project_name VARCHAR(100), project_cost FLOAT, year INT); INSERT INTO sustainable_projects (project_id, project_name, project_cost, year) VALUES (1, 'Green Skyscraper', 5000000, 2020), (2, 'Eco-Friendly Townhomes', 3000000, 2019), (3, 'Solar Power Plant', 8000000, 2020... | What was the total cost of all sustainable building projects in 2020? | SELECT SUM(project_cost) FROM sustainable_projects WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE ethereum_transactions (transaction_time TIMESTAMP, transaction_value INT); | What is the total number of transactions and their corresponding value for the Ethereum network, grouped by day for the past week? | SELECT DATE(transaction_time) AS transaction_day, SUM(transaction_value) AS total_transaction_value, COUNT(*) AS total_transactions FROM ethereum_transactions WHERE transaction_time >= DATE_SUB(CURRENT_TIMESTAMP(), INTERVAL 7 DAY) GROUP BY transaction_day; | gretelai_synthetic_text_to_sql |
CREATE TABLE restorative_justice_canada (id INT, program_name VARCHAR(50), start_date DATE, end_date DATE, country VARCHAR(50)); INSERT INTO restorative_justice_canada (id, program_name, start_date, end_date, country) VALUES (1, 'Restorative Canada', '2015-01-01', '2018-12-31', 'Canada'), (2, 'Justice Heals', '2016-01-... | What is the total number of restorative justice programs implemented in Canada between 2015 and 2018? | SELECT SUM(id) FROM restorative_justice_canada WHERE country = 'Canada' AND start_date >= '2015-01-01' AND end_date <= '2018-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, username VARCHAR(255), role VARCHAR(255), followers INT, created_at TIMESTAMP); | Find the average number of daily followers gained by users with the "influencer" role in Q2 2021. | SELECT AVG(followers_gained_per_day) FROM (SELECT DATEDIFF('2021-04-01', created_at) / 30.4375 AS followers_gained_per_day FROM users WHERE role = 'influencer') AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer_donations (volunteer_id INT, donation DECIMAL(10, 2)); INSERT INTO volunteer_donations (volunteer_id, donation) VALUES (1, 100.00), (1, 200.00), (2, 150.00), (3, 50.00), (4, 300.00); | What are the names of volunteers who have donated more than $200 in total, and have participated in the 'Education' program? | SELECT DISTINCT volunteers.name FROM volunteers JOIN volunteer_programs ON volunteers.id = volunteer_programs.volunteer_id JOIN volunteer_donations ON volunteers.id = volunteer_donations.volunteer_id WHERE volunteer_programs.program_id = 1 AND (SELECT SUM(donation) FROM volunteer_donations WHERE volunteer_id = voluntee... | gretelai_synthetic_text_to_sql |
CREATE TABLE project (name VARCHAR(50), country VARCHAR(50), year INT, wind_energy_production DECIMAL(5,2)); INSERT INTO project (name, country, year, wind_energy_production) VALUES ('Project A', 'Germany', 2019, 500.2), ('Project A', 'Germany', 2020, 522.1), ('Project B', 'Germany', 2019, 600.5), ('Project B', 'German... | Show the change in wind energy production for each project in Germany between 2019 and 2020. | SELECT name, (LEAD(wind_energy_production, 1, 0) OVER (PARTITION BY name ORDER BY year) - wind_energy_production) AS change FROM project WHERE country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MentalHealthFacilities (ID INT, Name VARCHAR(100), LinguisticCompetency BOOLEAN, CulturalCompetency BOOLEAN, State VARCHAR(50)); INSERT INTO MentalHealthFacilities (ID, Name, LinguisticCompetency, CulturalCompetency, State) VALUES (1, 'Facility1', TRUE, TRUE, 'California'); INSERT INTO MentalHealthFaciliti... | Find the number of mental health facilities that provide linguistically and culturally competent services in California. | SELECT COUNT(*) FROM MentalHealthFacilities WHERE LinguisticCompetency = TRUE AND CulturalCompetency = TRUE AND State = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Dishes (DishID INT, DishName VARCHAR(50), Type VARCHAR(20), Calories INT); INSERT INTO Dishes (DishID, DishName, Type, Calories) VALUES (1, 'Quinoa Salad', 'Vegan', 400), (2, 'Chickpea Curry', 'Vegan', 600), (3, 'Beef Stew', 'Non-vegan', 1200), (4, 'Veggie Burger', 'Vegan', 500), (5, 'Chicken Stir Fry', 'N... | Find the total calories for all dishes that are both vegan and gluten-free. | SELECT SUM(Calories) FROM Dishes WHERE Type = 'Vegan' AND Type = 'Gluten-free'; | gretelai_synthetic_text_to_sql |
CREATE TABLE news_reports (id INT, title VARCHAR(100), publication_date DATE, word_count INT); INSERT INTO news_reports (id, title, publication_date, word_count) VALUES (1, 'Climate Change Impact', '2022-03-01', 1500), (2, 'Political Turmoil in Europe', '2021-12-15', 2000), (3, 'Technology Advancements in Healthcare', ... | What is the maximum word count for news reports in the "news_reports" table published in 2021? | SELECT MAX(word_count) FROM news_reports WHERE YEAR(publication_date) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE news_articles (title VARCHAR(100), publication VARCHAR(50), word_count INT); INSERT INTO news_articles (title, publication, word_count) VALUES ('How to reduce your carbon footprint', 'The Guardian', 1200), ('Interview with local artist', 'The Guardian', 800), ('New study reveals ocean pollution', 'The Guar... | List all news articles published by "The Guardian" that have a word count greater than 1000. | SELECT title FROM news_articles WHERE publication = 'The Guardian' AND word_count > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_data_usage (usage_id INT, subscriber_id INT, data_usage FLOAT, usage_date DATE); INSERT INTO mobile_data_usage (usage_id, subscriber_id, data_usage, usage_date) VALUES (1, 1, 200, '2022-03-01'), (2, 2, 150, '2022-03-02'), (3, 3, 250, '2022-03-03'), (4, 4, 300, '2022-03-04'), (5, 5, 400, '2022-03-05'... | What is the top 5 most data-intensive days for mobile subscribers in the current month? | SELECT usage_date, SUM(data_usage) AS total_data_usage FROM mobile_data_usage WHERE usage_date >= DATE_SUB(CURDATE(), INTERVAL DAY(CURDATE()) DAY) GROUP BY usage_date ORDER BY total_data_usage DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE shariah_compliant_loans (id INT, customer_name VARCHAR(50), amount DECIMAL(10, 2), issue_date DATE); INSERT INTO shariah_compliant_loans (id, customer_name, amount, issue_date) VALUES (1, 'Ahmed', 5000, '2022-01-01'), (2, 'Fatima', 3000, '2022-02-14'), (3, 'Hamza', 7000, '2022-03-31'); | How many Shariah-compliant loans were issued in each month of 2022? | SELECT MONTH(issue_date), COUNT(*) FROM shariah_compliant_loans WHERE issue_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY MONTH(issue_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, name TEXT, age INT, therapy_completion BOOLEAN); | What is the average age of patients who have completed the therapy program? | SELECT AVG(age) FROM patients WHERE therapy_completion = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE nigeria_farmers (farmer_id INT, name VARCHAR(50), age INT, gender VARCHAR(10), participation BOOLEAN); INSERT INTO nigeria_farmers (farmer_id, name, age, gender, participation) VALUES (1, 'Ada', 45, 'female', true), (2, 'Bola', 30, 'male', false), (3, 'Chidinma', 50, 'female', true); | What is the average age of female farmers who have participated in community development initiatives in Nigeria? | SELECT AVG(age) FROM nigeria_farmers WHERE gender = 'female' AND participation = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (tour_id INT, hotel_name VARCHAR(255), city VARCHAR(255), country VARCHAR(255), duration INT); INSERT INTO virtual_tours (tour_id, hotel_name, city, country, duration) VALUES (1, 'Hotel Taj Mahal Palace', 'Mumbai', 'India', 180), (2, 'Hotel Trident', 'Mumbai', 'India', 210); | What is the average virtual tour engagement duration in Mumbai, India? | SELECT AVG(duration) FROM virtual_tours WHERE city = 'Mumbai' AND country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (id INT, name TEXT, state TEXT);CREATE TABLE orders (id INT, customer_id INT, item_type TEXT, price DECIMAL, order_date DATE); | Who are the top 5 customers with the highest total spending on cannabis products in Michigan dispensaries in the last quarter? | SELECT c.name, SUM(o.price) as total_spending FROM customers c INNER JOIN orders o ON c.id = o.customer_id WHERE c.state = 'Michigan' AND o.order_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) GROUP BY c.name ORDER BY total_spending DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (attorney_id INT, attorney_name TEXT); INSERT INTO attorneys (attorney_id, attorney_name) VALUES (1, 'John Doe'), (2, 'Jane Smith'); CREATE TABLE cases (case_id INT, attorney_id INT, open_date DATE); INSERT INTO cases (case_id, attorney_id, open_date) VALUES (1, 1, '2021-01-01'), (2, 1, '2021-02-... | What is the number of cases opened by each attorney? | SELECT a.attorney_name, COUNT(*) as cases_opened FROM attorneys a JOIN cases c ON a.attorney_id = c.attorney_id GROUP BY a.attorney_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE SiteCategories (CategoryID INT, Category VARCHAR(50)); CREATE TABLE CommunityEvents (EventID INT, EventName VARCHAR(50), CategoryID INT, EventYear INT); INSERT INTO SiteCategories VALUES (1, 'Historic Building'), (2, 'National Park'), (3, 'Archaeological Site'); INSERT INTO CommunityEvents VALUES (1, 'Cult... | How many community engagement events occurred for each heritage site category? | SELECT SiteCategories.Category, COUNT(CommunityEvents.EventID) AS EventCount FROM SiteCategories INNER JOIN CommunityEvents ON SiteCategories.CategoryID = CommunityEvents.CategoryID GROUP BY SiteCategories.Category; | gretelai_synthetic_text_to_sql |
CREATE TABLE MiningSites (SiteID INT, SiteName VARCHAR(50), Location VARCHAR(50), OpenDate DATE, EnvironmentalImpactScore INT); | List the top 3 mining sites with the highest environmental impact score and their location. | SELECT SiteName, Location, EnvironmentalImpactScore FROM MiningSites WHERE SiteID IN (SELECT SiteID FROM (SELECT SiteID, RANK() OVER(ORDER BY EnvironmentalImpactScore DESC) as rnk FROM MiningSites) tmp WHERE rnk <= 3) ORDER BY EnvironmentalImpactScore DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE mediation_sessions (session_id INT PRIMARY KEY, session_date DATE, session_time TIME, location VARCHAR(255), facilitator_id INT, case_number INT); | Delete a mediation session from the 'mediation_sessions' table | DELETE FROM mediation_sessions WHERE session_id = 4002 AND case_number = 2022001; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_exercises (id INT, name TEXT, region TEXT, year INT);INSERT INTO military_exercises (id, name, region, year) VALUES (1, 'Arctic Edge', 'Arctic', 2017);INSERT INTO military_exercises (id, name, region, year) VALUES (2, 'Northern Edge', 'Arctic', 2019); | List all military exercises that took place in the Arctic region since 2017. | SELECT name FROM military_exercises WHERE region = 'Arctic' AND year >= 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE offshore_wind_farms (id INT, name TEXT, country TEXT, start_date DATE); INSERT INTO offshore_wind_farms (id, name, country, start_date) VALUES (1, 'Gode Wind 1 and 2', 'Germany', '2014-01-01'); | List the offshore wind farms in Germany and Denmark that started operation after 2010. | SELECT name, country, start_date FROM offshore_wind_farms WHERE country IN ('Germany', 'Denmark') AND start_date >= '2010-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Community_Events (id INT, location VARCHAR(20), event_date DATE); INSERT INTO Community_Events (id, location, event_date) VALUES (1, 'Los Angeles', '2021-02-15'), (2, 'New York', '2020-09-01'); | How many community events were held in Los Angeles in 2021? | SELECT COUNT(*) FROM Community_Events WHERE location = 'Los Angeles' AND event_date BETWEEN '2021-01-01' AND '2021-12-31' | gretelai_synthetic_text_to_sql |
CREATE TABLE agroecology_projects (id INT, name TEXT, total_funding FLOAT); INSERT INTO agroecology_projects (id, name, total_funding) VALUES (1, 'Project 1', 50000.0), (2, 'Project 2', 25000.0), (3, 'Project 3', 75000.0); | Which agroecology projects have the highest and lowest total funding? | SELECT name, total_funding FROM (SELECT name, total_funding, ROW_NUMBER() OVER (ORDER BY total_funding DESC) as rank FROM agroecology_projects) as ranked_projects WHERE rank = 1 OR rank = (SELECT COUNT(*) FROM agroecology_projects) ORDER BY total_funding; | gretelai_synthetic_text_to_sql |
CREATE TABLE Districts (DId INT, Name VARCHAR(50)); CREATE TABLE EmergencyResponses (ResponseId INT, DId INT, Type VARCHAR(50), Date DATE, Time TIME); CREATE TABLE DisasterRecovery (RecoveryId INT, DId INT, Type VARCHAR(50), Date DATE, Time TIME); | What is the maximum number of emergency responses and disaster recovery efforts in a single day in each district, separated by type and sorted by maximum number of responses/efforts in descending order? | SELECT D.Name, ER.Type, MAX(COUNT(*)) AS MaxResponses FROM Districts D LEFT JOIN EmergencyResponses ER ON D.DId = ER.DId WHERE ER.Time BETWEEN '00:00:00' AND '23:59:59' GROUP BY D.Name, ER.Type UNION SELECT D.Name, DR.Type, MAX(COUNT(*)) AS MaxEfforts FROM Districts D LEFT JOIN DisasterRecovery DR ON D.DId = DR.DId WHE... | gretelai_synthetic_text_to_sql |
CREATE TABLE Games (GameID INT, GameType VARCHAR(20), Revenue INT, ReleaseYear INT); INSERT INTO Games (GameID, GameType, Revenue, ReleaseYear) VALUES (1, 'VR', 5000000, 2020), (2, 'Non-VR', 7000000, 2021), (3, 'VR', 6000000, 2020), (4, 'Non-VR', 8000000, 2021), (5, 'VR', 9000000, 2020); | What is the total revenue for virtual reality games in 2020 and 2021? | SELECT GameType, ReleaseYear, SUM(Revenue) as TotalRevenue FROM Games WHERE GameType = 'VR' GROUP BY GameType, ReleaseYear | gretelai_synthetic_text_to_sql |
CREATE TABLE candidate_demographics (id INT, candidate_id INT, race VARCHAR(255), offered_job BOOLEAN); INSERT INTO candidate_demographics (id, candidate_id, race, offered_job) VALUES (1, 1001, 'Hispanic', true), (2, 1002, 'African American', false), (3, 1003, 'Asian', true), (4, 1004, 'Hispanic', false); | Calculate the percentage of candidates from underrepresented racial groups who were offered a job. | SELECT COUNT(*) * 100.0 / (SELECT COUNT(*) FROM candidate_demographics WHERE race IN ('Hispanic', 'African American')) as percentage FROM candidate_demographics WHERE offered_job = true AND race IN ('Hispanic', 'African American'); | gretelai_synthetic_text_to_sql |
CREATE TABLE drug_sales (drug VARCHAR(50), quarter VARCHAR(5), year INT, revenue INT); INSERT INTO drug_sales (drug, quarter, year, revenue) VALUES ('DrugA', 'Q2', 2020, 30000), ('DrugB', 'Q2', 2020, 40000), ('DrugC', 'Q2', 2020, 50000); | What is the combined sales revenue for the drugs 'DrugA' and 'DrugB' in Q2 2020? | SELECT SUM(revenue) FROM drug_sales WHERE drug IN ('DrugA', 'DrugB') AND quarter = 'Q2' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (worker_id INT, age INT, ethnicity VARCHAR(255)); INSERT INTO community_health_workers (worker_id, age, ethnicity) VALUES (1, 35, 'Hispanic'), (2, 40, 'African American'), (3, 30, 'Asian'), (4, 45, 'Caucasian'); | Delete the record for the community health worker who is 30 years old. | DELETE FROM community_health_workers WHERE age = 30; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, country VARCHAR(20), investment_date DATE); INSERT INTO investments (id, country, investment_date) VALUES (1, 'Kenya', '2022-01-01'), (2, 'Nigeria', '2022-03-15'), (3, 'Kenya', '2022-04-05'), (4, 'Egypt', '2021-09-01'); | Determine the number of network infrastructure investments made by each country in the Africa region over the past year. | SELECT country, COUNT(*) as num_investments FROM investments WHERE region = 'Africa' AND investment_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE audience_demographics (id INT PRIMARY KEY, age INT, country VARCHAR(255), gender VARCHAR(255)); | Update the "age" field to 35 for all records in the "audience_demographics" table where "country" is "Brazil" and "gender" is "Female" | UPDATE audience_demographics SET age = 35 WHERE country = 'Brazil' AND gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, FirstName VARCHAR(50), LastName VARCHAR(50), Position VARCHAR(50), Department VARCHAR(50)); INSERT INTO Employees (EmployeeID, FirstName, LastName, Position, Department) VALUES (3, 'Sara', 'Ali', 'Engineer', 'Aircraft Manufacturing'); | Who are the engineers in the aircraft manufacturing department with IDs lower than 5? | SELECT EmployeeID, FirstName, LastName FROM Employees WHERE Department = 'Aircraft Manufacturing' AND Position = 'Engineer' AND EmployeeID < 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer_hours (id INT, volunteer_id INT, year INT, num_hours INT); INSERT INTO volunteer_hours (id, volunteer_id, year, num_hours) VALUES (1, 1, 2019, 100), (2, 1, 2020, 150), (3, 2, 2019, 75), (4, 2, 2020, 200), (5, 3, 2019, 125), (6, 3, 2020, 175); | What is the average number of hours volunteered per volunteer each year? | SELECT year, AVG(num_hours) as avg_hours_per_volunteer FROM volunteer_hours GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, home_location VARCHAR(50), monthly_data_usage DECIMAL(10,2)); INSERT INTO mobile_subscribers (subscriber_id, home_location, monthly_data_usage) VALUES (1, 'USA', 3.5), (2, 'Mexico', 4.2), (3, 'Canada', 2.8), (4, 'USA', 4.5), (5, 'Canada', 3.2); | What is the maximum and minimum monthly data usage for each country? | SELECT home_location, MAX(monthly_data_usage) AS max_data_usage, MIN(monthly_data_usage) AS min_data_usage FROM mobile_subscribers GROUP BY home_location; | gretelai_synthetic_text_to_sql |
CREATE TABLE EventOrganizers (OrganizerID INT, OrgName VARCHAR(50), Country VARCHAR(50)); INSERT INTO EventOrganizers (OrganizerID, OrgName, Country) VALUES (1, 'ESL', 'Germany'), (2, 'DreamHack', 'Sweden'), (3, 'MLG', 'USA'); | Which country has the most esports event organizers? | SELECT Country, COUNT(*) as EventOrganizerCount FROM EventOrganizers GROUP BY Country ORDER BY EventOrganizerCount DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE EmergencyResponse (Id INT, IncidentId INT, ResponseTeam VARCHAR(50), ResponseTime INT, IncidentType VARCHAR(50)); CREATE VIEW EmergencyResponse_Team AS SELECT ResponseTeam, AVG(ResponseTime) as AvgResponseTime FROM EmergencyResponse WHERE IncidentType = 'Medical' GROUP BY ResponseTeam; | What is the average response time for medical emergencies, broken down by response team, where the average response time is greater than 15 minutes? | SELECT ert.ResponseTeam, AVG(ert.AvgResponseTime) as AvgResponseTime FROM EmergencyResponse_Team ert WHERE ert.AvgResponseTime > 15 GROUP BY ert.ResponseTeam; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farm (id INT, name TEXT, crop TEXT, yield_per_acre FLOAT, region TEXT); INSERT INTO Farm (id, name, crop, yield_per_acre, region) VALUES (1, 'Smith Farm', 'Corn', 150, 'Midwest'), (2, 'Jones Farm', 'Soybeans', 80, 'Midwest'), (3, 'Brown Farm', 'Corn', 200, 'Western'), (4, 'Green Farm', 'Potatoes', 200, 'No... | List all the farms in the Western region that have a higher yield per acre for corn compared to the average yield per acre for corn in the entire database. | SELECT * FROM Farm WHERE region = 'Western' AND crop = 'Corn' AND yield_per_acre > (SELECT avg_yield FROM Average WHERE crop = 'Corn'); | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_project (project_id INT, project_name TEXT, project_type TEXT, start_date DATE); INSERT INTO climate_project (project_id, project_name, project_type, start_date) VALUES (1, 'North American Wind Farm', 'Mitigation', '2012-01-01'); | How many climate mitigation projects were completed in North America before 2015? | SELECT COUNT(*) FROM climate_project WHERE project_type = 'Mitigation' AND start_date < DATEADD(year, -3, '2015-01-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (attorney_id INT, attorney_name VARCHAR(50), attorney_email VARCHAR(50), attorney_phone VARCHAR(15)); INSERT INTO attorneys (attorney_id, attorney_name, attorney_email, attorney_phone) VALUES (3, 'Sara White', 'sara.white@lawfirm.com', '555-555-2121'); | Show the attorney_name and attorney_email for all attorneys in the 'attorneys' table | SELECT attorney_name, attorney_email FROM attorneys; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage (region VARCHAR(255), usage FLOAT, date DATE); INSERT INTO water_usage (region, usage, date) VALUES ('New York', 5000, '2022-05-01'); INSERT INTO water_usage (region, usage, date) VALUES ('Los Angeles', 7000, '2022-05-01'); | List the top 3 regions with the highest water usage in the past month. | SELECT region, usage FROM (SELECT region, usage, ROW_NUMBER() OVER (ORDER BY usage DESC) as rank FROM water_usage WHERE date >= '2022-05-01' GROUP BY region, usage) subquery WHERE rank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE exit_strategies (id INT, company_name VARCHAR(100), exit_type VARCHAR(50), acquisition_price FLOAT, exit_date DATE); | Insert a new exit strategy into the "exit_strategies" table for 'India Inc.' with an acquisition price of $50M on 2021-10-01 | INSERT INTO exit_strategies (id, company_name, exit_type, acquisition_price, exit_date) VALUES (7, 'India Inc.', 'Acquisition', 50000000, '2021-10-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE sensor_data (sensor_id INT, crop_type VARCHAR(255), soil_moisture DECIMAL(5,2), record_date DATE); | Update soil moisture records for a specific sensor_id if the moisture level is below a specified threshold. | UPDATE sensor_data SET soil_moisture = 50 WHERE sensor_id = 2 AND soil_moisture < 20.0; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (worker_id INT, name VARCHAR(50), state VARCHAR(2), training_programs VARCHAR(100)); INSERT INTO community_health_workers (worker_id, name, state, training_programs) VALUES (1, 'Jane Doe', 'NY', 'Cultural Competency, First Aid'); INSERT INTO community_health_workers (worker_id, nam... | Identify cultural competency training programs offered by community health workers in NY and CA. | SELECT state, training_programs FROM community_health_workers WHERE state IN ('NY', 'CA') AND training_programs LIKE '%Cultural Competency%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE european_tourism (destination VARCHAR(255), year INT, quarter INT, visitors INT); INSERT INTO european_tourism (destination, year, quarter, visitors) VALUES ('Barcelona', 2021, 1, 800000); INSERT INTO european_tourism (destination, year, quarter, visitors) VALUES ('Barcelona', 2021, 2, 900000); INSERT INTO... | What is the percentage change in international visitor numbers for each destination in Europe compared to the same quarter last year? | SELECT destination, year, quarter, visitors, NTILE(4) OVER (ORDER BY visitors) as quartile, (visitors - LAG(visitors) OVER (PARTITION BY destination ORDER BY year, quarter))*100.0 / LAG(visitors) OVER (PARTITION BY destination ORDER BY year, quarter) as pct_change FROM european_tourism; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtWorks (ArtworkID int, Title varchar(100), Value int, Period varchar(100)); | Find the total value of artworks created in the Impressionist period. | SELECT SUM(Value) FROM ArtWorks WHERE Period = 'Impressionist' | gretelai_synthetic_text_to_sql |
CREATE TABLE stations (station_id INT, name VARCHAR(255), latitude FLOAT, longitude FLOAT); | Create a table named "stations" with columns "station_id", "name", "latitude", and "longitude". | CREATE TABLE stations (station_id INT, name VARCHAR(255), latitude FLOAT, longitude FLOAT); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA MarineLife; CREATE TABLE Species (id INT, name TEXT, biomass FLOAT); CREATE SCHEMA Geography; CREATE TABLE Habitats (id INT, species_id INT, region_type TEXT); | What is the total biomass of marine life species in the 'MarineLife' schema's cold-water regions? | SELECT SUM(s.biomass) FROM MarineLife.Species s JOIN MarineLife.Habitats h ON s.id = h.species_id WHERE h.region_type = 'cold-water'; | gretelai_synthetic_text_to_sql |
CREATE TABLE social_responsibility.transactions (transaction_id INT, account_number INT, transaction_amount DECIMAL(10, 2), transaction_date DATE); INSERT INTO social_responsibility.transactions (transaction_id, account_number, transaction_amount, transaction_date) VALUES (1, 1001, 100.00, '2022-01-01'), (2, 1002, 200.... | What is the total value of transactions for socially responsible lending accounts in the 'social_responsibility' schema's 'transactions' table, excluding transactions made within the last 30 days? | SELECT SUM(transaction_amount) FROM social_responsibility.transactions WHERE account_number IN (SELECT account_number FROM social_responsibility.accounts WHERE is_socially_responsible = true) AND transaction_date < NOW() - INTERVAL '30 days'; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (id INT, material VARCHAR(20), rate FLOAT); INSERT INTO recycling_rates (id, material, rate) VALUES (1, 'cotton', 0.75), (2, 'wool', 0.60), (3, 'polyester', 0.50), (4, 'silk', 0.80); | What is the average recycling rate for each material type in the 'recycling_rates' table? | SELECT material, AVG(rate) FROM recycling_rates GROUP BY material; | gretelai_synthetic_text_to_sql |
CREATE TABLE Students (StudentID int, Department varchar(50)); INSERT INTO Students (StudentID, Department) VALUES (5, 'Physics'); CREATE TABLE Grants (GrantID int, StudentID int, Department varchar(50), Amount int); INSERT INTO Grants (GrantID, StudentID, Department, Amount) VALUES (7, 5, 'Physics', 3000); INSERT INTO... | What is the total amount of research grants awarded to graduate students in each department? | SELECT Students.Department, SUM(Grants.Amount) FROM Students INNER JOIN Grants ON Students.StudentID = Grants.StudentID GROUP BY Students.Department; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinical_trials (trial_name TEXT, country TEXT, trial_phase TEXT, trial_date DATE); INSERT INTO clinical_trials (trial_name, country, trial_phase, trial_date) VALUES ('Trial1', 'Germany', 'Phase1', '2008-03-23'), ('Trial2', 'Japan', 'Phase3', '2006-07-09'), ('Trial3', 'Germany', 'Phase2', '2009-11-17'), ('... | Count the number of clinical trials conducted in Germany and Japan before 2010, grouped by trial phase. | SELECT trial_phase, COUNT(*) FROM clinical_trials WHERE country IN ('Germany', 'Japan') AND trial_date < '2010-01-01' GROUP BY trial_phase; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (id INT, event_name VARCHAR(255), event_type VARCHAR(255), city_id INT);CREATE TABLE attendees (id INT, event_id INT, attendee_name VARCHAR(255)); | Show the number of public events and the number of attendees for each event in the city of San Francisco. | SELECT e.event_name, COUNT(a.id) as num_attendees FROM events e INNER JOIN attendees a ON e.id = a.event_id WHERE e.city_id = (SELECT id FROM cities WHERE city_name = 'San Francisco') GROUP BY e.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouse (id INT, name VARCHAR(20)); CREATE TABLE shipment (id INT, warehouse_id INT, delivery_location VARCHAR(20), shipped_date DATE, weight FLOAT); INSERT INTO warehouse (id, name) VALUES (1, 'Seattle'), (2, 'NY'), (3, 'LA'), (4, 'Paris'), (5, 'London'), (6, 'Melbourne'); INSERT INTO shipment (id, ware... | What is the maximum weight of packages shipped to 'Sydney' from the 'Melbourne' warehouse in April 2021? | SELECT MAX(weight) AS max_weight FROM shipment WHERE warehouse_id = 6 AND delivery_location = 'Sydney' AND shipped_date >= '2021-04-01' AND shipped_date < '2021-05-01'; | gretelai_synthetic_text_to_sql |
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