context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE cargo(cargo_id INT, port_id INT, tonnage INT);INSERT INTO cargo VALUES (1,1,500),(2,1,800),(3,2,300),(4,1,0),(5,2,600); | List the names and total tonnage of all cargoes that share the same destination port as cargo with the ID of 5, including cargoes with no tonnage. | SELECT c.name, COALESCE(SUM(c2.tonnage), 0) as total_tonnage FROM cargo c INNER JOIN cargo c2 ON c.port_id = c2.port_id WHERE c2.cargo_id = 5 GROUP BY c.cargo_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Infrastructure (type TEXT, state TEXT, design_code TEXT); INSERT INTO Infrastructure (type, state, design_code) VALUES ('Bridges', 'California', 'AASHTO LRFD'); | List the unique types of infrastructure and their respective standard design codes in 'California'. | SELECT DISTINCT type, design_code FROM Infrastructure WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name TEXT, is_safety_certified BOOLEAN, country TEXT); INSERT INTO products (product_id, product_name, is_safety_certified, country) VALUES (1, 'Eyeshadow', true, 'USA'), (2, 'Blush', false, 'USA'), (3, 'Highlighter', true, 'USA'); | What percentage of cosmetic products are not safety certified in USA? | SELECT (COUNT(*) - SUM(is_safety_certified)) * 100.0 / COUNT(*) as percentage FROM products WHERE country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE DApp (DAppID INT, DAppName VARCHAR(100), IssuerCompany VARCHAR(100), IssuerLocation VARCHAR(50), Industry VARCHAR(50)); INSERT INTO DApp (DAppID, DAppName, IssuerCompany, IssuerLocation, Industry) VALUES (1, 'DApp1', 'CompanyD', 'Africa', 'Finance'), (2, 'DApp2', 'CompanyE', 'Africa', 'Healthcare'), (3, 'D... | How many decentralized applications have been developed by companies in the African continent, and what are their industries? | SELECT IssuerLocation, Industry, COUNT(*) as Total FROM DApp WHERE IssuerLocation = 'Africa' GROUP BY IssuerLocation, Industry; | gretelai_synthetic_text_to_sql |
CREATE TABLE clothing_brands (brand_id INT PRIMARY KEY, brand_name VARCHAR(100), sustainability_rating FLOAT); INSERT INTO clothing_brands (brand_id, brand_name, sustainability_rating) VALUES (1, 'EcoFriendlyBrand', 4.2), (2, 'GreenFashion', 4.6), (3, 'SustainableTextiles', 4.5); | How many sustainable clothing brands are available in the database? | SELECT COUNT(DISTINCT brand_name) FROM clothing_brands; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (country VARCHAR(255), year INT, amount INT); | Insert a new record of rare earth element production for 'Canada' in 2021 with an amount of 10000. | INSERT INTO production (country, year, amount) VALUES ('Canada', 2021, 10000); | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_impact (spill_date DATE); INSERT INTO environmental_impact (spill_date) VALUES ('2020-03-15'), ('2021-08-09'), ('2020-12-25'), ('2019-06-01'); | What is the total number of chemical spills recorded in the environmental_impact table, grouped by the year? | SELECT YEAR(spill_date) AS year, COUNT(*) AS total_spills FROM environmental_impact GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE infrastructure_projects (id INT, name VARCHAR(50), location VARCHAR(50), start_date DATE, end_date DATE, total_cost FLOAT); | What is the total cost of all projects in the 'infrastructure_projects' table, ordered by the project's start date? | SELECT SUM(total_cost) FROM infrastructure_projects ORDER BY start_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE socially_responsible_loans_over_time (id INT, loan_date DATE, amount FLOAT); INSERT INTO socially_responsible_loans_over_time (id, loan_date, amount) VALUES (1, '2021-01-01', 350000), (2, '2021-04-01', 400000), (3, '2021-07-01', 450000), (4, '2021-10-01', 200000); | What is the trend of socially responsible loan amounts issued per quarter? | SELECT DATE_FORMAT(loan_date, '%Y-%m') as month, QUARTER(loan_date) as quarter, SUM(amount) as total_amount FROM socially_responsible_loans_over_time GROUP BY quarter ORDER BY quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE EuroBikeSharing (id INT, city VARCHAR(20), stations INT); | How many bike-sharing stations are there in Paris and London? | SELECT city, SUM(stations) FROM EuroBikeSharing WHERE city IN ('Paris', 'London') GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE wearable_tech (user_id INT, heart_rate INT, country VARCHAR(50)); INSERT INTO wearable_tech (user_id, heart_rate, country) VALUES (1, 70, 'Mexico'), (2, 75, 'Canada'), (3, 80, 'Mexico'), (4, 65, 'Mexico'), (5, 72, 'Mexico'); | What is the average heart rate of users from Mexico? | SELECT AVG(heart_rate) FROM wearable_tech WHERE country = 'Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, age INT, media_literacy_score INT); INSERT INTO users (id, age, media_literacy_score) VALUES (1, 25, 80), (2, 34, 85), (3, 22, 75), (4, 45, 90); | What is the average media literacy score for users aged 25-34 in the United States? | SELECT AVG(media_literacy_score) FROM users WHERE age BETWEEN 25 AND 34 AND country = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Garments (GarmentID INT, GarmentName TEXT, IsSustainable BOOLEAN, AverageRating DECIMAL); INSERT INTO Garments VALUES (1, 'Garment1', TRUE, 4.5), (2, 'Garment2', FALSE, 3.5), (3, 'Garment3', TRUE, 4.0); | What is the average garment rating for sustainable garments compared to non-sustainable garments? | SELECT CASE WHEN IsSustainable = TRUE THEN 'Sustainable' ELSE 'Non-Sustainable' END AS Category, AVG(AverageRating) FROM Garments GROUP BY Category; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals_region (name VARCHAR(100), region VARCHAR(50)); | What is the number of hospitals per region? | SELECT region, COUNT(*) FROM hospitals_region GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_events (id INT, city VARCHAR(20), price INT); INSERT INTO cultural_events (id, city, price) VALUES (1, 'Berlin', 18), (2, 'Sydney', 25), (3, 'Paris', 30); | What is the average ticket price for cultural events in 'Berlin' and 'Sydney'? | SELECT AVG(price) FROM cultural_events WHERE city IN ('Berlin', 'Sydney'); | gretelai_synthetic_text_to_sql |
CREATE TABLE fairness_issues (issue_id INT, issue_date DATE, country VARCHAR(255), issue_category VARCHAR(255), region VARCHAR(255)); INSERT INTO fairness_issues (issue_id, issue_date, country, issue_category, region) VALUES (1, '2021-08-01', 'Indonesia', 'Bias', 'Southeast Asia'), (2, '2022-02-01', 'Singapore', 'Expla... | Identify the number of algorithmic fairness issues reported in Southeast Asia, grouped by issue category and year. | SELECT EXTRACT(YEAR FROM issue_date) as year, issue_category, COUNT(*) as num_issues FROM fairness_issues WHERE region = 'Southeast Asia' GROUP BY year, issue_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (restaurant_id INT, name VARCHAR(255)); INSERT INTO restaurants (restaurant_id, name) VALUES (3, 'Burger King'); CREATE TABLE menu_items (menu_item_id INT, name VARCHAR(255), price DECIMAL(5,2), restaurant_id INT); INSERT INTO menu_items (menu_item_id, name, price, restaurant_id) VALUES (5, 'Ve... | What percentage of revenue came from 'Vegan Burger' at 'Burger King'? | SELECT 100.0 * SUM(price * quantity) / (SELECT SUM(price * quantity) FROM orders o JOIN menu_items mi ON o.menu_item_id = mi.menu_item_id WHERE mi.restaurant_id = 3) AS revenue_percentage FROM orders o JOIN menu_items mi ON o.menu_item_id = mi.menu_item_id WHERE mi.name = 'Vegan Burger' AND mi.restaurant_id = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_production (id INT PRIMARY KEY, fabric_type VARCHAR(255), production_country VARCHAR(255), quantity INT, price DECIMAL(5,2)); CREATE VIEW top_garment_producers AS SELECT production_country, SUM(quantity) as total_quantity FROM garment_production GROUP BY production_country ORDER BY total_quantity D... | Delete records from garment_production where the quantity is less than 500 for garments produced in Vietnam. | DELETE FROM garment_production WHERE garment_production.quantity < 500 AND garment_production.production_country = 'Vietnam'; | gretelai_synthetic_text_to_sql |
CREATE TABLE creative_apps (id INT, name VARCHAR(255), type VARCHAR(255)); INSERT INTO creative_apps (id, name, type) VALUES (1, 'Image Generation', 'Computer Vision'), (2, 'Text Summarization', 'Natural Language Processing'); | Add a new creative AI application 'Music Generation' | INSERT INTO creative_apps (id, name, type) VALUES (3, 'Music Generation', 'Audio Processing'); | gretelai_synthetic_text_to_sql |
CREATE TABLE wearable_metrics (id INT, user_id INT, heart_rate INT, steps INT, date DATE); | Delete all records in the 'wearable_metrics' table that have a null value in the 'heart_rate' column | DELETE FROM wearable_metrics WHERE heart_rate IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE textile_waste(brand VARCHAR(50), waste FLOAT); INSERT INTO textile_waste(brand, waste) VALUES('BrandA', 12.5), ('BrandB', 15.8), ('BrandC', 18.3); | What is the average textile waste generation (in metric tons) for each fashion brand? | SELECT brand, AVG(waste) FROM textile_waste GROUP BY brand; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID INT, Category VARCHAR(50), FundingReceived DECIMAL(10,2)); INSERT INTO Events (EventID, Category, FundingReceived) VALUES (1, 'Music', 10000), (2, 'Theater', 15000); | Update the funding for event with EventID 1 to 12000 | UPDATE Events SET FundingReceived = 12000 WHERE EventID = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE tech_patents_china (country VARCHAR(255), year INT, num_patents INT); INSERT INTO tech_patents_china (country, year, num_patents) VALUES ('China', 2015, 1000), ('China', 2016, 1200), ('China', 2017, 1400); | What is the maximum number of military technology patents filed by China in a single year? | SELECT MAX(num_patents) FROM tech_patents_china WHERE country = 'China'; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(50), author_id INT, publish_date DATE); CREATE TABLE authors (id INT, name VARCHAR(50)); INSERT INTO articles (id, title, author_id, publish_date) VALUES (1, 'Article1', 3, '2022-07-01'), (2, 'Article2', 3, '2022-07-15'), (3, 'Article3', 4, '2022-06-30'); INSERT INTO authors... | What is the total number of articles written by each author, and how many of those articles were written in the month of July 2022? | SELECT a.name, COUNT(*) as total_articles, SUM(CASE WHEN DATE_FORMAT(a.publish_date, '%%Y-%%m') = '2022-07' THEN 1 ELSE 0 END) as articles_in_july FROM articles a JOIN authors au ON a.author_id = au.id GROUP BY a.name | gretelai_synthetic_text_to_sql |
CREATE TABLE intelligence_operations (operation_id INT PRIMARY KEY, operation_name VARCHAR(100), operation_type VARCHAR(50), country_targeted VARCHAR(50)); INSERT INTO intelligence_operations (operation_id, operation_name, operation_type, country_targeted) VALUES (1, 'Operation Black Swan', 'Cyberwarfare', 'Russia'), (... | Update the 'country_targeted' to 'China' for the 'intelligence_operation' with 'operation_id' 2 in the 'intelligence_operations' table | UPDATE intelligence_operations SET country_targeted = 'China' WHERE operation_id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE PeacekeepingOperationsByCountry (Country VARCHAR(50), Year INT, Operations INT); INSERT INTO PeacekeepingOperationsByCountry (Country, Year, Operations) VALUES ('USA', 2020, 250), ('China', 2020, 200), ('India', 2020, 220), ('USA', 2021, 255), ('China', 2021, 210), ('India', 2021, 230); | What is the change in peacekeeping operation count by country between 2020 and 2021, ranked from highest to lowest? | SELECT Country, (Operations - LAG(Operations, 1, 0) OVER (PARTITION BY Country ORDER BY Year)) * 100.0 / LAG(Operations, 1, 0) OVER (PARTITION BY Country ORDER BY Year) AS OperationsChangePercentage, RANK() OVER (ORDER BY OperationsChangePercentage DESC) AS Rank FROM PeacekeepingOperationsByCountry WHERE Year IN (2020,... | gretelai_synthetic_text_to_sql |
CREATE TABLE Visitors (id INT, city VARCHAR(50), digital_exhibits INT, visit_month INT); INSERT INTO Visitors (id, city, digital_exhibits, visit_month) VALUES (1, 'Melbourne', 4, 1); | Calculate the average number of digital exhibits viewed per month in Melbourne. | SELECT AVG(digital_exhibits/12) FROM (SELECT city, COUNT(DISTINCT visit_month) visitors FROM Visitors WHERE city = 'Melbourne' GROUP BY city); | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (restaurant_id INT, name VARCHAR(255)); INSERT INTO restaurants (restaurant_id, name) VALUES (6, 'Vegan Delight'); CREATE TABLE menu_items (menu_item_id INT, name VARCHAR(255), price DECIMAL(5,2), restaurant_id INT); INSERT INTO menu_items (menu_item_id, name, price, restaurant_id) VALUES (7, '... | What was the total revenue for 'Impossible Burger' at 'Vegan Delight'? | SELECT SUM(price * quantity) FROM orders o JOIN menu_items mi ON o.menu_item_id = mi.menu_item_id WHERE mi.name = 'Impossible Burger' AND mi.restaurant_id = 6; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (worker_id INT, name TEXT, industry TEXT); INSERT INTO workers (worker_id, name, industry) VALUES (1, 'James Doe', 'manufacturing'), (2, 'Jane Doe', 'retail'), (3, 'James Smith', 'manufacturing'); CREATE TABLE employment (employment_id INT, worker_id INT, gender TEXT); INSERT INTO employment (emplo... | What is the percentage of male workers in each industry? | SELECT industry, COUNT(*) * 100.0 / SUM(COUNT(*)) OVER () FROM workers JOIN employment ON workers.worker_id = employment.worker_id WHERE gender = 'Male' GROUP BY industry; | gretelai_synthetic_text_to_sql |
CREATE TABLE DefenseProjectTimelines (id INT PRIMARY KEY, equipment VARCHAR(50), project_start_date DATE, project_end_date DATE, project_status VARCHAR(50)); INSERT INTO EquipmentSales (id, contractor, equipment, sale_date, sale_amount) VALUES (4, 'Raytheon', 'Patriot', '2019-08-01', 80000000); INSERT INTO EquipmentSal... | What is the total sales amount for each equipment type in the defense project timelines table? | SELECT DefenseProjectTimelines.equipment, SUM(EquipmentSales.sale_amount) FROM EquipmentSales RIGHT JOIN DefenseProjectTimelines ON EquipmentSales.equipment = DefenseProjectTimelines.equipment GROUP BY DefenseProjectTimelines.equipment; | gretelai_synthetic_text_to_sql |
CREATE TABLE meals (id INT, name TEXT, type TEXT, calories INT); INSERT INTO meals (id, name, type, calories) VALUES (1, 'Quinoa Salad', 'vegan', 400), (2, 'Tofu Stir Fry', 'vegan', 600); | What is the average calorie content in vegan meals? | SELECT AVG(calories) FROM meals WHERE type = 'vegan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (tour_id INT, hotel_id INT, city TEXT, engagement_time INT); INSERT INTO virtual_tours (tour_id, hotel_id, city, engagement_time) VALUES (1, 3, 'New York', 1200), (2, 3, 'New York', 1500), (3, 4, 'Chicago', 1000); | What is the total engagement time for virtual tours in 'New York'? | SELECT SUM(engagement_time) FROM virtual_tours WHERE city = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT PRIMARY KEY, name VARCHAR(50), position VARCHAR(50), department VARCHAR(50), salary DECIMAL(5,2), manager_id INT, FOREIGN KEY (manager_id) REFERENCES employees(id)); CREATE TABLE departments (id INT PRIMARY KEY, name VARCHAR(50), manager_id INT, FOREIGN KEY (manager_id) REFERENCES employe... | Who are the managers in the human resources department with the highest salary? | SELECT employees.name AS manager_name, employees.salary AS salary FROM employees INNER JOIN departments ON employees.department = departments.name WHERE departments.name = 'Human Resources' AND employees.position = 'Manager' AND employees.salary = (SELECT MAX(employees.salary) FROM employees WHERE employees.department ... | gretelai_synthetic_text_to_sql |
CREATE TABLE schools (id INT, name TEXT, budget INT, city TEXT); INSERT INTO schools (id, name, budget, city) VALUES (1, 'SchoolA', 700000, 'CityB'), (2, 'SchoolB', 600000, 'CityB'), (3, 'SchoolC', 500000, 'CityB'); | Which schools have the lowest overall budget per student in CityB? | SELECT s.name, s.budget/COUNT(ds.student_id) as avg_budget_per_student FROM schools s JOIN district_schools ds ON s.id = ds.school_id WHERE s.city = 'CityB' GROUP BY s.name HAVING avg_budget_per_student = (SELECT MIN(s.budget/COUNT(ds.student_id)) FROM schools s JOIN district_schools ds ON s.id = ds.school_id WHERE s.c... | gretelai_synthetic_text_to_sql |
CREATE TABLE co_ownership (property_id INT, city VARCHAR(20)); CREATE TABLE urbanism (property_id INT, city VARCHAR(20), sustainable BOOLEAN); INSERT INTO co_ownership (property_id, city) VALUES (1, 'New_York_City'); INSERT INTO co_ownership (property_id, city) VALUES (2, 'Los_Angeles'); INSERT INTO urbanism (property_... | What is the number of properties in New York City with co-ownership and sustainable urbanism features? | SELECT COUNT(*) FROM co_ownership INNER JOIN urbanism ON co_ownership.property_id = urbanism.property_id WHERE co_ownership.city = 'New_York_City' AND urbanism.sustainable = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, domain TEXT); | What is the total number of cases in the legal services domain? | SELECT COUNT(DISTINCT cases.case_id) FROM cases WHERE cases.domain = 'legal services'; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_deployment (id INT PRIMARY KEY, name VARCHAR(50), launch_year INT, location VARCHAR(50)); | Delete all records from the 'satellite_deployment' table where the location is 'not in space' | DELETE FROM satellite_deployment WHERE location != 'Space'; | gretelai_synthetic_text_to_sql |
CREATE TABLE exoplanets (id INT, name VARCHAR(255), discovery_method VARCHAR(255), discovery_date DATE, telescope VARCHAR(255)); | What is the total number of exoplanets discovered by the Kepler space telescope? | SELECT COUNT(*) FROM exoplanets WHERE telescope = 'Kepler'; | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_vehicles (id INT PRIMARY KEY, make VARCHAR(50), model VARCHAR(50), safety_rating FLOAT); INSERT INTO autonomous_vehicles (id, make, model, safety_rating) VALUES (1, 'Tesla', 'Model X', 9.2), (2, 'Waymo', 'Waymo One', 9.5), (3, 'NVIDIA', 'DRIVE AGX', 9.0), (4, 'Baidu', 'Apollo', 8.8), (5, 'Uber',... | What's the average safety rating of all autonomous vehicles? | SELECT AVG(safety_rating) FROM autonomous_vehicles; | gretelai_synthetic_text_to_sql |
CREATE TABLE IndigenousCommunities (CommunityID int, CommunityName varchar(50), Country varchar(50)); INSERT INTO IndigenousCommunities VALUES (1, 'CommunityA', 'Colombia'), (2, 'CommunityB', 'Brazil'), (3, 'CommunityC', 'Canada'); CREATE TABLE ExtractionData (CommunityID int, ExtractionDate date, Material varchar(10),... | What is the total quantity of silver extracted by indigenous communities in Colombia in 2022? | SELECT ic.CommunityName, SUM(ed.Quantity) as TotalExtraction FROM ExtractionData ed JOIN IndigenousCommunities ic ON ed.CommunityID = ic.CommunityID WHERE ed.ExtractionDate BETWEEN '2022-01-01' AND '2022-12-31' AND ed.Material = 'Silver' AND ic.Country = 'Colombia' GROUP BY ic.CommunityName; | gretelai_synthetic_text_to_sql |
CREATE TABLE RideHailing (id INT, company VARCHAR(20), vehicle_type VARCHAR(20), num_drivers INT); | Insert a new ride hailing company with EVs and hybrid vehicles. | INSERT INTO RideHailing (id, company, vehicle_type, num_drivers) VALUES (4, 'Juno', 'EV', 1000), (5, 'Juno', 'Hybrid', 2000); | gretelai_synthetic_text_to_sql |
CREATE TABLE ChemicalProducts (ProductID INT, Chemical TEXT, ManufacturerID INT, ProductLaunchDate DATE, EnvironmentalImpactScore DECIMAL(3,2)); INSERT INTO ChemicalProducts (ProductID, Chemical, ManufacturerID, ProductLaunchDate, EnvironmentalImpactScore) VALUES (1, 'Acetone', 1, '2020-01-01', 3.2), (2, 'Ethanol', 1, ... | What is the average environmental impact score for chemical products launched in Q1 and Q2 of 2020? | SELECT AVG(CP.EnvironmentalImpactScore) AS AverageScore FROM ChemicalProducts CP WHERE QUARTER(CP.ProductLaunchDate) IN (1, 2) AND YEAR(CP.ProductLaunchDate) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (country VARCHAR(255), element VARCHAR(255), quantity INT, year INT, quarter INT); INSERT INTO production (country, element, quantity, year, quarter) VALUES ('China', 'Dysprosium', 10000, 2018, 1), ('China', 'Dysprosium', 12000, 2018, 2), ('China', 'Dysprosium', 14000, 2018, 3), ('China', 'Dyspr... | What is the running total of Dysprosium production by quarter? | SELECT year, quarter, SUM(quantity) OVER (PARTITION BY element ORDER BY year, quarter) as running_total FROM production WHERE element = 'Dysprosium' ORDER BY year, quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cephalopods (Species VARCHAR(255), Ocean VARCHAR(255), Population INT); | Add a new record for the Giant Pacific Octopus in the Pacific Ocean with a population of 1500. | INSERT INTO Cephalopods (Species, Ocean, Population) VALUES ('Giant Pacific Octopus', 'Pacific Ocean', 1500); | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_city_devices (id INT, name VARCHAR(255), location VARCHAR(255), installed_date DATE); INSERT INTO smart_city_devices (id, name, location, installed_date) VALUES (1, 'SmartBin1', 'CityE', '2021-03-20'), (2, 'SmartLight1', 'CityF', '2021-07-10'), (3, 'SmartSensor1', 'CityE', '2021-04-05'), (4, 'SmartSe... | Smart city devices installed before 2021-06-01 | SELECT name FROM smart_city_devices WHERE installed_date < '2021-06-01' ORDER BY installed_date DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE agricultural_innovation_projects (id INT, country VARCHAR(20), grant_amount DECIMAL(10, 2)); INSERT INTO agricultural_innovation_projects (id, country, grant_amount) VALUES (1, 'Philippines', 5000.00), (2, 'Indonesia', 7000.00); | What is the average amount of grants given for agricultural innovation projects in the Philippines? | SELECT AVG(grant_amount) FROM agricultural_innovation_projects WHERE country = 'Philippines'; | gretelai_synthetic_text_to_sql |
CREATE TABLE product_details (product_id INT, launch_date DATE, product_category VARCHAR(50), customer_rating FLOAT); INSERT INTO product_details (product_id, launch_date, product_category, customer_rating) VALUES (1001, '2021-02-15', 'makeup', 4.3), (1002, '2021-06-20', 'skincare', 4.1), (1003, '2021-09-01', 'makeup',... | What is the average customer rating for mineral-based makeup products launched in 2021? | SELECT AVG(customer_rating) FROM product_details WHERE product_category = 'makeup' AND launch_date < '2022-01-01' AND EXTRACT(YEAR FROM launch_date) = 2021 AND product_details.product_category IN (SELECT product_category FROM product_details WHERE product_category = 'makeup' AND is_mineral = true); | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT, vuln_date DATE, asset_type VARCHAR(50)); INSERT INTO vulnerabilities (id, vuln_date, asset_type) VALUES (1, '2021-12-01', 'network'), (2, '2022-01-05', 'server'), (3, '2022-02-10', 'workstation'); | How many vulnerabilities were found in the last quarter for the 'network' asset type? | SELECT COUNT(*) as vulnerability_count FROM vulnerabilities WHERE vuln_date >= DATEADD(quarter, -1, GETDATE()) AND asset_type = 'network'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name TEXT, city TEXT, program TEXT); INSERT INTO volunteers (id, name, city, program) VALUES (1, 'John Doe', 'NYC', 'Green City'); INSERT INTO volunteers (id, name, city, program) VALUES (2, 'Jane Smith', 'LA', 'Green City'); | What is the total number of volunteers who have participated in 'Green City' program? | SELECT COUNT(*) FROM volunteers WHERE program = 'Green City'; | gretelai_synthetic_text_to_sql |
CREATE TABLE RestaurantRevenue(restaurant_id INT, revenue DECIMAL(10,2), revenue_date DATE, restaurant_location VARCHAR(255)); | What is the total revenue for the month of April 2022 for restaurants located in California? | SELECT SUM(revenue) FROM RestaurantRevenue WHERE revenue_date BETWEEN '2022-04-01' AND '2022-04-30' AND restaurant_location = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (product_category VARCHAR(255), sales_amount NUMERIC, sale_date DATE); INSERT INTO sales (product_category, sales_amount, sale_date) VALUES ('men_shirts', 500, '2022-01-01'); INSERT INTO sales (product_category, sales_amount, sale_date) VALUES ('women_pants', 800, '2022-01-02'); INSERT INTO sales (pr... | Find the top 3 product categories with the highest sales in H1 2022. | SELECT product_category, SUM(sales_amount) FROM sales WHERE sale_date BETWEEN '2022-01-01' AND '2022-06-30' GROUP BY product_category ORDER BY SUM(sales_amount) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE College_of_Engineering_Grants (department VARCHAR(50), grant_awarded BOOLEAN); INSERT INTO College_of_Engineering_Grants (department, grant_awarded) VALUES ('Mechanical Engineering', true), ('Electrical Engineering', false), ('Civil Engineering', true), ('Computer Science and Engineering', true), ('Chemica... | Find the number of research grants awarded to each department in the College of Engineering, ordered from the most to least grants. | SELECT department, SUM(grant_awarded) as total_grants FROM College_of_Engineering_Grants GROUP BY department ORDER BY total_grants DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE seattle_households (id INT, water_consumption FLOAT, household_size INT, year INT); INSERT INTO seattle_households (id, water_consumption, household_size, year) VALUES (1, 12000, 4, 2020); INSERT INTO seattle_households (id, water_consumption, household_size, year) VALUES (2, 15000, 5, 2020); | What is the average water consumption per household in the city of Seattle, WA for the year 2020? | SELECT AVG(water_consumption / household_size) FROM seattle_households WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (id INT, name TEXT, product TEXT, is_organic BOOLEAN); INSERT INTO suppliers (id, name, product, is_organic) VALUES (1, 'Green Earth Farms', 'Apples', true), (2, 'Fresh Harvest', 'Bananas', true), (3, 'Sunrise Produce', 'Oranges', false), (4, 'Organic Delights', 'Strawberries', true); | Which are the top 3 suppliers of organic fruits? | SELECT name, product FROM suppliers WHERE is_organic = true ORDER BY product LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, case_number VARCHAR(50), client_name VARCHAR(50), attorney_id INT); | List the names and case numbers of cases in 'cases' table that were assigned to attorney_id 5 | SELECT cases.case_number, cases.client_name FROM cases WHERE cases.attorney_id = 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE MentalHealthParity (ViolationID INT, State VARCHAR(25), Race VARCHAR(25), ViolationDate DATE); INSERT INTO MentalHealthParity (ViolationID, State, Race, ViolationDate) VALUES (1, 'California', 'Asian', '2021-01-15'); INSERT INTO MentalHealthParity (ViolationID, State, Race, ViolationDate) VALUES (2, 'New Y... | What is the total number of mental health parity violations for each race? | SELECT Race, COUNT(*) FROM MentalHealthParity GROUP BY Race; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists bioprocess;CREATE TABLE if not exists bioprocess.jobs (id INT, title VARCHAR(50), country VARCHAR(50)); INSERT INTO bioprocess.jobs (id, title, country) VALUES (1, 'JobA', 'France'), (2, 'JobB', 'Spain'), (3, 'JobC', 'France'), (4, 'JobD', 'USA'), (5, 'JobE', 'Spain'); | Determine the number of bioprocess engineering jobs in each country. | SELECT country, COUNT(*) FROM bioprocess.jobs GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE game_sessions (session_id INT, player_id INT, session_start_time TIMESTAMP, session_duration INTERVAL); | Create table 'game_sessions' with columns: session_id, player_id, session_start_time, session_duration | CREATE TABLE game_sessions (session_id INT, player_id INT, session_start_time TIMESTAMP, session_duration INTERVAL); | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (Artist VARCHAR(50), Artwork VARCHAR(50), Year INT); | Add a new artwork by Claude Monet in 1872 | INSERT INTO Artworks (Artist, Artwork, Year) VALUES ('Claude Monet', 'Water Lilies', 1872) | gretelai_synthetic_text_to_sql |
CREATE TABLE Dishes (dish_id INT, dish_name VARCHAR(50), ingredients VARCHAR(50)); INSERT INTO Dishes (dish_id, dish_name, ingredients) VALUES (1, 'Spaghetti Bolognese', 'Tomatoes, Ground Beef, Pasta'), (2, 'Chicken Curry', 'Chicken, Coconut Milk, Spices'), (3, 'Sushi Roll', 'Fish, Rice, Seaweed'), (4, 'Beef Stew', 'Be... | What are the names of dishes that contain more than one type of meat? | SELECT dish_name FROM Dishes WHERE ingredients LIKE '%Meat%' GROUP BY dish_name HAVING COUNT(DISTINCT REGEXP_SPLIT_TO_TABLE(ingredients, '[, ]+')) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE incident (incident_id INT, incident_date DATE, incident_type VARCHAR(255)); | What is the distribution of security incidents by type (e.g., malware, phishing, etc.) for the last 30 days? | SELECT incident_type, COUNT(*) AS incident_count FROM incident WHERE incident_date >= CURDATE() - INTERVAL 30 DAY GROUP BY incident_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE digital_assets (id INT, name VARCHAR(255), company VARCHAR(255), launch_date DATE, developer VARCHAR(255)); INSERT INTO digital_assets (id, name, company, launch_date, developer) VALUES (1, 'Asset 1', 'Company A', '2021-01-01', 'Jamila Nguyen'), (2, 'Asset 2', 'Company B', '2022-02-15', 'Minh Tran'); | What is the earliest launch date for digital assets created by developers from historically underrepresented communities in Asia? | SELECT MIN(launch_date) FROM digital_assets WHERE developer IN ('Jamila Nguyen', 'Minh Tran') AND country = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, sector TEXT); INSERT INTO companies (id, sector) VALUES (1, 'technology'), (2, 'finance'), (3, 'technology'), (4, 'healthcare'); | What's the number of companies in each sector? | SELECT sector, COUNT(*) FROM companies GROUP BY sector; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species_biomass (species_name VARCHAR(255), region VARCHAR(255), biomass FLOAT, conservation_status VARCHAR(255)); INSERT INTO marine_species_biomass (species_name, region, biomass, conservation_status) VALUES ('Polar Bear', 'Arctic', 500, 'Fully Protected'), ('Narwhal', 'Arctic', 300, 'Partially Pr... | What is the total biomass of all marine species in the Arctic region, grouped by conservation status?" | SELECT conservation_status, SUM(biomass) as total_biomass FROM marine_species_biomass WHERE region = 'Arctic' GROUP BY conservation_status; | gretelai_synthetic_text_to_sql |
CREATE TABLE national_security_breaches (id INT, country TEXT, breach_date DATE); INSERT INTO national_security_breaches (id, country, breach_date) VALUES (1, 'USA', '2021-01-01'), (2, 'UK', '2021-02-15'), (3, 'USA', '2021-03-01'), (4, 'Canada', '2021-04-15'); | Show the number of national security breaches in the last year, and the number of breaches for each country. | SELECT n.country, COUNT(n.id) as total_breaches FROM national_security_breaches n WHERE n.breach_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY n.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE CarbonOffset (id INT, project_name VARCHAR(20), project_type VARCHAR(20), amount INT); | Insert a new record into the "CarbonOffset" table for a new "EnergyEfficiencyProject2" in "Rio de Janeiro" with an amount of 8000 | INSERT INTO CarbonOffset (project_name, project_type, amount) VALUES ('EnergyEfficiencyProject2', 'energy_efficiency', 8000); | gretelai_synthetic_text_to_sql |
CREATE TABLE schedules (route_id INT, vehicle_id INT, departure_time TIME); INSERT INTO schedules VALUES (1, 1, '06:00:00'), (1, 2, '06:15:00'), (1, 3, '06:30:00'), (2, 4, '07:00:00'), (2, 5, '07:15:00'); | What are the earliest and latest departure times for buses in the city center? | SELECT MIN(departure_time) AS earliest, MAX(departure_time) AS latest FROM schedules JOIN routes ON schedules.route_id = routes.route_id WHERE routes.city = 'City Center' AND routes.type = 'Bus'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID INT, DonorID INT, DonationDate DATE, DonationAmount DECIMAL(10,2)); | List all donors who have made donations in the last 6 months | SELECT DonorID, Donations.FirstName, Donations.LastName FROM Donors JOIN Donations ON Donors.DonorID = Donations.DonorID WHERE DonationDate >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtCollection (ArtworkID INT, ArtistID INT, ArtistNationality VARCHAR(50)); INSERT INTO ArtCollection (ArtworkID, ArtistID, ArtistNationality) VALUES (1, 1, 'American'), (2, 2, 'Canadian'), (3, 3, 'Australian'), (4, 4, 'Indigenous'), (5, 5, 'African'); | How many artworks in the 'ArtCollection' table are associated with Indigenous artists? | SELECT COUNT(*) AS ArtworksByIndigenousArtists FROM ArtCollection WHERE ArtistNationality = 'Indigenous'; | gretelai_synthetic_text_to_sql |
CREATE TABLE populations (id INT, country_id INT, population INT); CREATE TABLE military_personnel (id INT, country_id INT, military_branch_id INT, number INT); | What is the minimum number of military personnel in each branch for countries with a population of over 100 million? | SELECT m.name as branch, MIN(mp.number) as min_personnel FROM populations p JOIN military_personnel mp ON p.country_id = mp.country_id JOIN military_branch m ON mp.military_branch_id = m.id WHERE p.population > 100000000 GROUP BY mp.military_branch_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE heritage_sites (id INT, name TEXT, country TEXT, region TEXT); INSERT INTO heritage_sites (id, name, country, region) VALUES (1, 'Great Zimbabwe', 'Zimbabwe', 'Africa'); | What is the total number of heritage sites in Africa? | SELECT COUNT(*) FROM heritage_sites WHERE region = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE GARMENTS (garment_id INT, category VARCHAR(20), production_cost FLOAT); INSERT INTO GARMENTS VALUES (1, 'T-Shirts', 10), (2, 'Pants', 15), (3, 'Jackets', 20), (4, 'Dresses', 25); | Show garment categories with production costs lower than the average production cost for all garment categories. | SELECT category, production_cost FROM GARMENTS WHERE production_cost < (SELECT AVG(production_cost) FROM GARMENTS); | gretelai_synthetic_text_to_sql |
CREATE TABLE market_trend_table (rare_earth_element VARCHAR(20), year INT, price FLOAT, demand_volume INT); | Update records in the market_trend_table for 'Gadolinium', setting the 'price' to 34.8 and 'demand_volume' to 1550 for year 2019 | UPDATE market_trend_table SET price = 34.8, demand_volume = 1550 WHERE rare_earth_element = 'Gadolinium' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE electric_trains (train_id INT, co2_emission FLOAT, city VARCHAR(50)); | What is the average CO2 emission of electric trains in Madrid? | SELECT AVG(co2_emission) FROM electric_trains WHERE city = 'Madrid'; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intelligence(report_date DATE, report_category VARCHAR(20)); INSERT INTO threat_intelligence(report_date, report_category) VALUES ('2021-01-01', 'cyber'), ('2021-01-05', 'terrorism'), ('2021-02-01', 'cyber'), ('2021-03-01', 'foreign_intelligence'), ('2021-03-05', 'foreign_intelligence'); | Show the number of days between the earliest and latest threat intelligence reports for each category. | SELECT report_category, MAX(report_date) - MIN(report_date) as days_between FROM threat_intelligence GROUP BY report_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE UserData (UserID INT, Country VARCHAR(255)); CREATE TABLE WorkoutData (UserID INT, CaloriesBurned INT, WorkoutDate DATE); INSERT INTO UserData (UserID, Country) VALUES (1, 'India'), (2, 'Australia'), (3, 'India'), (4, 'South Africa'), (5, 'India'); INSERT INTO WorkoutData (UserID, CaloriesBurned, WorkoutDa... | What is the average calories burned for users from India during their workouts in the month of June 2022? | SELECT AVG(CaloriesBurned) FROM WorkoutData INNER JOIN UserData ON WorkoutData.UserID = UserData.UserID WHERE Country = 'India' AND WorkoutDate >= '2022-06-01' AND WorkoutDate <= '2022-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(50), country VARCHAR(50), meal_calories INT); INSERT INTO users (id, name, country, meal_calories) VALUES (1, 'John Doe', 'Canada', 600), (2, 'Jane Smith', 'Canada', 800); | What is the average calorie intake per meal for Canadian users? | SELECT AVG(meal_calories) FROM users WHERE country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE geological_survey (id INT, mine_id INT, rock_type VARCHAR(50), FOREIGN KEY (mine_id) REFERENCES mines(id)); INSERT INTO geological_survey (id, mine_id, rock_type) VALUES (5, 9, 'Limestone'); INSERT INTO geological_survey (id, mine_id, rock_type) VALUES (6, 10, 'Sandstone'); CREATE TABLE mines (id INT, name... | List the rock types in mines with a production metric between 30000 and 50000, and located in Utah. | SELECT gs.rock_type FROM geological_survey gs JOIN mines m ON gs.mine_id = m.id WHERE m.production_metric BETWEEN 30000 AND 50000 AND m.location = 'Utah'; | gretelai_synthetic_text_to_sql |
CREATE TABLE teachers (id INT, name VARCHAR(20), last_pd_date DATE); INSERT INTO teachers (id, name, last_pd_date) VALUES (1, 'Ms. Garcia', '2020-01-01'); INSERT INTO teachers (id, name, last_pd_date) VALUES (2, 'Mr. Nguyen', '2021-06-15'); INSERT INTO teachers (id, name, last_pd_date) VALUES (3, 'Mx. Patel', '2019-12-... | Show teachers who have not received any professional development in the last 2 years | SELECT name FROM teachers WHERE last_pd_date < DATE_SUB(CURRENT_DATE, INTERVAL 2 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (id INT, program TEXT, budget DECIMAL(10,2)); INSERT INTO Programs (id, program, budget) VALUES (1, 'Feeding the Hungry', 5000.00), (2, 'Clothing Drive', 3000.00); | What is the total budget for each program? | SELECT program, SUM(budget) FROM Programs GROUP BY program; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Gender VARCHAR(10), JobTitle VARCHAR(50), Salary INT); INSERT INTO Employees (EmployeeID, Gender, JobTitle, Salary) VALUES (1, 'Male', 'Manager', 70000), (2, 'Female', 'Manager', 65000), (3, 'Male', 'Developer', 60000), (4, 'Female', 'Developer', 62000); | What is the difference in average salary between the top and bottom quartile of employees, by job title? | SELECT JobTitle, AVG(CASE WHEN PERCENT_RANK() OVER (PARTITION BY JobTitle ORDER BY Salary) BETWEEN 0 AND 0.25 THEN Salary ELSE NULL END) - AVG(CASE WHEN PERCENT_RANK() OVER (PARTITION BY JobTitle ORDER BY Salary) BETWEEN 0.75 AND 1 THEN Salary ELSE NULL END) AS Salary_Difference FROM Employees GROUP BY JobTitle; | gretelai_synthetic_text_to_sql |
CREATE TABLE ClaimsData (ClaimID INT, Payment DECIMAL(5,2), State VARCHAR(20)); INSERT INTO ClaimsData VALUES (1, 500.00, 'California'), (2, 1500.00, 'Texas'), (3, 800.00, 'California'); | Which claims had a payment amount greater than $1000 in Texas? | SELECT ClaimID, Payment FROM ClaimsData WHERE State = 'Texas' AND Payment > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE legal_aid_cases (id INT, lawyer_name TEXT, lawyer_community TEXT); INSERT INTO legal_aid_cases (id, lawyer_name, lawyer_community) VALUES (1, 'Aisha Williams', 'African American'); INSERT INTO legal_aid_cases (id, lawyer_name, lawyer_community) VALUES (2, 'Pedro Rodriguez', 'Hispanic'); | What is the total number of legal aid cases handled by lawyers from historically underrepresented communities? | SELECT COUNT(*) FROM legal_aid_cases WHERE lawyer_community IN ('African American', 'Hispanic', 'Indigenous', 'Asian Pacific Islander'); | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, dispensary_id INT, strain VARCHAR(255), quantity INT, price INT);CREATE TABLE dispensaries (dispensary_id INT, name VARCHAR(255), state VARCHAR(255)); | What are the top 3 strains with the highest average price in Colorado and Washington? | SELECT strain, AVG(price) as avg_price FROM sales JOIN dispensaries ON sales.dispensary_id = dispensaries.dispensary_id WHERE state IN ('Colorado', 'Washington') GROUP BY strain HAVING COUNT(*) > 5 ORDER BY avg_price DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_id INT, org_id INT, zip_code TEXT, donation_amount DECIMAL(10,2)); INSERT INTO donations (id, donor_id, org_id, zip_code, donation_amount) VALUES (1, 1, 1, '90210', 100.00); | What are the top 3 zip codes with the highest total donation amounts in 'California'? | SELECT zip_code, SUM(donation_amount) AS total_donated FROM donations WHERE zip_code LIKE '90%' GROUP BY zip_code ORDER BY total_donated DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Emissions (chemical VARCHAR(20), emission_rate INT, location VARCHAR(20)); INSERT INTO Emissions (chemical, emission_rate, location) VALUES ('ChemicalD', 150, 'Western'), ('ChemicalE', 170, 'Western'); | Which chemical has the highest emission rate in the Western region? | SELECT chemical, emission_rate FROM Emissions WHERE location = 'Western' ORDER BY emission_rate DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, dispensary_name TEXT, state TEXT, revenue INT, date DATE); INSERT INTO sales (id, dispensary_name, state, revenue, date) VALUES (1, 'Dispensary A', 'California', 2000, '2022-01-01'); INSERT INTO sales (id, dispensary_name, state, revenue, date) VALUES (2, 'Dispensary B', 'Colorado', 3000, '2... | List the top 3 states with the highest total revenue in 2022. | SELECT state, SUM(revenue) AS total_revenue FROM sales WHERE date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY state ORDER BY total_revenue DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE courses (course_id INT, course_name TEXT, added_date DATE); INSERT INTO courses (course_id, course_name, added_date) VALUES (1, 'Intro to Psychology', '2022-01-05'); | Which courses were added in the last month? | SELECT * FROM courses WHERE added_date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT, name VARCHAR(50), location VARCHAR(50), equipment_count INT); | Find the total number of medical equipment items owned by hospitals in Africa. | SELECT SUM(equipment_count) FROM hospitals WHERE location LIKE '%Africa%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE criminal_justice_reform_programs (id INT, case_number INT, program_type VARCHAR(20)); | What is the total number of cases in criminal justice reform programs by program type? | SELECT program_type, COUNT(*) FROM criminal_justice_reform_programs GROUP BY program_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity_metrics (metric_id INT, category VARCHAR(20), value FLOAT); | Insert data into diversity metrics table | INSERT INTO diversity_metrics (metric_id, category, value) VALUES (1, 'Female Founders', 0.35), (2, 'Underrepresented Racial Groups', 0.18), (3, 'LGBTQ+ Founders', 0.05); | gretelai_synthetic_text_to_sql |
CREATE TABLE ad_revenue (post_id INT, region VARCHAR(20), revenue DECIMAL(10,2), ad_date DATE); INSERT INTO ad_revenue (post_id, region, revenue, ad_date) VALUES (1, 'North America', 100, '2022-01-01'), (2, 'Middle East', 200, '2022-02-01'), (3, 'Middle East', 300, '2022-03-01'), (4, 'Europe', 400, '2022-04-01'), (5, '... | What is the maximum advertising revenue generated in the "Middle East" region in the last month? | SELECT MAX(revenue) FROM ad_revenue WHERE region = 'Middle East' AND ad_date >= DATE_SUB(CURDATE(), INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (hotel_id INT, name VARCHAR(50), facility VARCHAR(50)); INSERT INTO hotels (hotel_id, name, facility) VALUES (1, 'Hotel X', 'spa,gym'), (2, 'Hotel Y', 'gym'), (3, 'Hotel Z', 'spa'); | List the hotels in the hotels table that offer a gym facility but do not offer a spa facility. | SELECT * FROM hotels WHERE facility LIKE '%gym%' AND facility NOT LIKE '%spa%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT, species VARCHAR(255), habitat VARCHAR(255), invasive BOOLEAN); INSERT INTO marine_species (id, species, habitat, invasive) VALUES (1, 'Pacific Oyster', 'Baltic Sea', TRUE), (2, 'Green Crab', 'North Sea', FALSE); | List all invasive marine species in the Baltic Sea. | SELECT species FROM marine_species WHERE habitat = 'Baltic Sea' AND invasive = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (project_number INT, project_name VARCHAR(30), start_date DATE, end_date DATE); INSERT INTO green_buildings (project_number, project_name, start_date, end_date) VALUES (1, 'Solar Panel Installation', '2020-01-01', '2020-03-15'); INSERT INTO green_buildings (project_number, project_name, sta... | What is the total duration of the longest project in the 'green_buildings' table? | SELECT DATEDIFF(end_date, start_date) FROM green_buildings ORDER BY DATEDIFF(end_date, start_date) DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales_country (product_id INT, brand VARCHAR(255), country VARCHAR(255), revenue FLOAT); INSERT INTO sales_country (product_id, brand, country, revenue) VALUES (1, 'Lush', 'UK', 50), (2, 'The Body Shop', 'France', 75), (3, 'Sephora', 'USA', 100); | What is the total revenue for each country's products? | SELECT country, SUM(revenue) as total_revenue FROM sales_country GROUP BY country ORDER BY total_revenue DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Researchers (id INT PRIMARY KEY, name VARCHAR(255), affiliation VARCHAR(255)); INSERT INTO Researchers (id, name, affiliation) VALUES (1, 'Sara Ahmed', 'University of Ottawa'); CREATE TABLE Expeditions (id INT PRIMARY KEY, leader_id INT, start_date DATE); INSERT INTO Expeditions (id, leader_id, start_date)... | What is the name of the researcher who leads the expedition starting on 2022-03-01? | SELECT name FROM Researchers INNER JOIN Expeditions ON Researchers.id = Expeditions.leader_id WHERE start_date = '2022-03-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CrimeStats (city VARCHAR(255), year INT, crimeType VARCHAR(255), totalCrimes INT); INSERT INTO CrimeStats (city, year, crimeType, totalCrimes) VALUES ('New York City', 2019, 'Homicide', 300), ('New York City', 2020, 'Homicide', 350); | What is the average number of homicides in New York City per year? | SELECT AVG(totalCrimes) AS avg_homicides FROM CrimeStats WHERE city = 'New York City' AND crimeType = 'Homicide'; | gretelai_synthetic_text_to_sql |
CREATE TABLE socially_responsible_lending (id INT, year INT, country VARCHAR(255), loans INT); | How many socially responsible loans have been issued in Canada for each year? | SELECT year, SUM(loans) FROM socially_responsible_lending WHERE country = 'Canada' GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_facts (name TEXT, fact TEXT); INSERT INTO ocean_facts (name, fact) VALUES ('Indian Ocean', '3,741 meters deep on average'); CREATE TABLE depths (name TEXT, avg_depth FLOAT); INSERT INTO depths (name, avg_depth) VALUES ('Indian Ocean', 3741); | What is the average depth of the Indian Ocean? | SELECT avg_depth FROM depths WHERE name = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
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