context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28 values |
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CREATE TABLE carbon_price ( year INT, country VARCHAR(20), price FLOAT ); INSERT INTO carbon_price (year, country, price) VALUES (2020, 'US', 20.5), (2020, 'Canada', 12.3), (2021, 'Mexico', 18.9); | Delete records in the 'carbon_price' table where price is below 15 for the year 2020 | WITH cte AS (DELETE FROM carbon_price WHERE year = 2020 AND price < 15) DELETE FROM cte; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (id INT, actor VARCHAR(255), incident_count INT); CREATE VIEW incident_view AS SELECT actor, COUNT(*) as incident_count FROM security_incidents GROUP BY actor; | How many security incidents were attributed to each threat actor in the past month? | SELECT actor, incident_count FROM incident_view WHERE incident_count >= (SELECT AVG(incident_count) FROM incident_view) AND incident_at >= DATE_SUB(NOW(), INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE vendors (vendor_id INT, vendor_name VARCHAR(50), state VARCHAR(50)); INSERT INTO vendors VALUES (1, 'VendorA', 'Florida'); INSERT INTO vendors VALUES (2, 'VendorB', 'Texas'); CREATE TABLE products (product_id INT, product_name VARCHAR(50), vendor_id INT); INSERT INTO products VALUES (1, 'Product1', 1); INSERT INTO products VALUES (2, 'Product2', 1); INSERT INTO products VALUES (3, 'Product3', 2); INSERT INTO products VALUES (4, 'Product4', 1); | Which vendors in Florida sell more than one product? | SELECT DISTINCT vendors.vendor_id, vendors.vendor_name FROM vendors JOIN products ON vendors.vendor_id = products.vendor_id GROUP BY vendors.vendor_id, vendors.vendor_name HAVING COUNT(DISTINCT products.product_id) > 1 AND vendors.state = 'Florida'; | gretelai_synthetic_text_to_sql |
CREATE TABLE education_programs (id INT, program_name VARCHAR(50), year INT, attendees INT); INSERT INTO education_programs (id, program_name, year, attendees) VALUES (1, 'Wildlife Conservation', 2021, 250), (2, 'Habitat Protection', 2020, 120); | What is the total number of community education programs conducted in '2020' and '2021' with more than 100 attendees? | SELECT COUNT(*) FROM education_programs WHERE year IN (2020, 2021) AND attendees > 100; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (investment_id INT, investor_id INT, org_id INT, investment_amount INT); INSERT INTO investments (investment_id, investor_id, org_id, investment_amount) VALUES (1, 1, 13, 25000), (2, 2, 14, 35000), (3, 1, 15, 45000), (4, 3, 16, 30000), (5, 2, 15, 50000); CREATE TABLE investors (investor_id INT, investor_name TEXT); INSERT INTO investors (investor_id, investor_name) VALUES (1, 'Investor M'), (2, 'Investor N'), (3, 'Investor O'); CREATE TABLE organizations (org_id INT, org_name TEXT, focus_topic TEXT); INSERT INTO organizations (org_id, org_name, focus_topic) VALUES (13, 'Org 13', 'Education'), (14, 'Org 14', 'Healthcare'), (15, 'Org 15', 'Education'), (16, 'Org 16', 'Renewable Energy'); | What is the total investment in the education sector by each investor? | SELECT investors.investor_name, SUM(investments.investment_amount) AS total_invested FROM investments JOIN investors ON investments.investor_id = investors.investor_id JOIN organizations ON investments.org_id = organizations.org_id WHERE organizations.focus_topic = 'Education' GROUP BY investors.investor_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_sales (id INT, company VARCHAR(255), country VARCHAR(255), sale_value DECIMAL(10,2), sale_date DATE); INSERT INTO military_sales (id, company, country, sale_value, sale_date) VALUES (1, 'Lockheed Martin', 'China', 700000, '2017-01-01'); INSERT INTO military_sales (id, company, country, sale_value, sale_date) VALUES (2, 'Northrop Grumman', 'China', 800000, '2017-01-01'); | Find the number of military equipment sales to the Chinese government by all defense contractors in 2017. | SELECT COUNT(*) FROM military_sales WHERE country = 'China' AND YEAR(sale_date) = 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID INT PRIMARY KEY, DonorID INT, Amount INT, DonationDate DATETIME); INSERT INTO Donations (DonationID, DonorID, Amount, DonationDate) VALUES (1, 1, 5000, '2022-01-01 10:00:00'); | What's the average donation amount for donors from India who have donated more than once? | SELECT AVG(Donations.Amount) FROM Donations INNER JOIN Donors ON Donations.DonorID = Donors.DonorID WHERE Donors.Country = 'India' GROUP BY Donations.DonorID HAVING COUNT(Donations.DonationID) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_offset_initiatives (initiative_id INT, initiative_name VARCHAR(100), launch_date DATE, city VARCHAR(100)); INSERT INTO carbon_offset_initiatives (initiative_id, initiative_name, launch_date, city) VALUES (1, 'Tree Planting', '2022-01-01', 'Paris'), (2, 'Bicycle Sharing Expansion', '2021-07-01', 'Paris'); | How many carbon offset initiatives have been launched by the city government of Paris in the last 2 years? | SELECT COUNT(*) FROM carbon_offset_initiatives WHERE city = 'Paris' AND launch_date >= DATE_SUB(CURRENT_DATE, INTERVAL 2 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE Spacecraft (SpacecraftID INT, Name VARCHAR(50), FirstGravityAssist DATE); INSERT INTO Spacecraft VALUES (1, 'Voyager 1', '1979-01-01'); INSERT INTO Spacecraft VALUES (2, 'Voyager 2', '1979-06-09'); | What is the average speed of all spacecraft that have performed a gravity assist maneuver, ordered by the date of their first gravity assist? | SELECT AVG(Speed) FROM (SELECT Speed, LAG(Speed) OVER (ORDER BY FirstGravityAssist) PrevSpeed, ROW_NUMBER() OVER (ORDER BY FirstGravityAssist) RN FROM SpacecraftGravityAssists JOIN Spacecraft ON SpacecraftGravityAssists.SpacecraftID = Spacecraft.SpacecraftID) T WHERE RN > 1 AND PrevSpeed IS NOT NULL | gretelai_synthetic_text_to_sql |
CREATE TABLE water_treatment_facilities (location VARCHAR(50), last_update DATE); INSERT INTO water_treatment_facilities (location, last_update) VALUES ('Mumbai', '2021-01-01'), ('Delhi', '2021-02-03'), ('Bangalore', '2021-04-05'); | How many water treatment facilities have been updated in India in 2021? | SELECT COUNT(*) FROM water_treatment_facilities WHERE last_update >= '2021-01-01' AND last_update <= '2021-12-31' AND location = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE travel_advisories (country VARCHAR(20), year INT, advisory VARCHAR(50)); INSERT INTO travel_advisories (country, year, advisory) VALUES ('Japan', 2022, 'avoid non-essential travel'), ('Japan', 2021, 'exercise caution'), ('New Zealand', 2022, 'avoid all travel'), ('New Zealand', 2021, 'exercise caution'); | Delete all records related to travel advisories issued for New Zealand in 2022. | DELETE FROM travel_advisories WHERE country = 'New Zealand' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE us_sales (id INT, garment_size INT);INSERT INTO us_sales (id, garment_size) VALUES (1, 6), (2, 8), (3, 10); | What is the minimum garment size sold to 'US'? | SELECT MIN(garment_size) FROM us_sales; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_equipment_contracts (contract_id INT, cost FLOAT, signing_date DATE); INSERT INTO military_equipment_contracts (contract_id, cost, signing_date) VALUES (1, 5000000, '2021-01-01'); | Find the average cost of military equipment contracts signed in the last 12 months | SELECT AVG(cost) FROM military_equipment_contracts WHERE signing_date >= DATE_SUB(CURDATE(), INTERVAL 12 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE City (id INT, name VARCHAR(50)); INSERT INTO City (id, name) VALUES (1, 'New York'); INSERT INTO City (id, name) VALUES (2, 'Los Angeles'); INSERT INTO City (id, name) VALUES (3, 'Paris'); INSERT INTO City (id, name) VALUES (4, 'Berlin'); INSERT INTO City (id, name) VALUES (5, 'Tokyo'); CREATE TABLE Policy (id INT, name VARCHAR(50), city_id INT, category VARCHAR(50), budget DECIMAL(10,2), start_date DATE, end_date DATE); INSERT INTO Policy (id, name, city_id, category, budget, start_date, end_date) VALUES (1, 'Education', 3, 'Education', 1200000, '2021-01-01', '2023-12-31'); INSERT INTO Policy (id, name, city_id, category, budget, start_date, end_date) VALUES (2, 'Healthcare', 3, 'Healthcare', 1500000, '2020-01-01', '2022-12-31'); INSERT INTO Policy (id, name, city_id, category, budget, start_date, end_date) VALUES (3, 'Transportation', 4, 'Transportation', 2000000, '2019-01-01', '2024-12-31'); INSERT INTO Policy (id, name, city_id, category, budget, start_date, end_date) VALUES (4, 'Education', 4, 'Education', 1800000, '2020-01-01', '2023-12-31'); INSERT INTO Policy (id, name, city_id, category, budget, start_date, end_date) VALUES (5, 'Healthcare', 4, 'Healthcare', 1300000, '2019-01-01', '2022-12-31'); | What is the average budget allocated for healthcare policies in 'Paris' and 'Berlin'? | SELECT AVG(budget) FROM Policy WHERE city_id IN (3, 4) AND category = 'Healthcare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinics (clinic_id INT, clinic_name VARCHAR(50), city VARCHAR(50), state VARCHAR(50)); INSERT INTO clinics (clinic_id, clinic_name, city, state) VALUES (1, 'ClinicA', 'Miami', 'FL'), (2, 'ClinicB', 'Los Angeles', 'CA'); CREATE TABLE patients (patient_id INT, patient_name VARCHAR(50), clinic_id INT); INSERT INTO patients (patient_id, patient_name, clinic_id) VALUES (1, 'John Doe', 1), (2, 'Jane Smith', 1), (3, 'Alice Johnson', 2); | What is the total number of patients treated in mental health clinics located in Florida? | SELECT COUNT(*) FROM patients p JOIN clinics c ON p.clinic_id = c.clinic_id WHERE c.state = 'FL'; | gretelai_synthetic_text_to_sql |
CREATE TABLE avengers_viewers (id INT, viewer_id INT, age INT, movie VARCHAR(255)); INSERT INTO avengers_viewers (id, viewer_id, age, movie) VALUES (1, 1, 22, 'The Avengers'), (2, 2, 30, 'The Avengers'), (3, 3, 35, 'The Avengers'), (4, 4, 18, 'The Avengers'); | What's the minimum and maximum age of viewers who watched 'The Avengers'? | SELECT MIN(age), MAX(age) FROM avengers_viewers WHERE movie = 'The Avengers'; | gretelai_synthetic_text_to_sql |
CREATE TABLE flu_cases(id INT, patient_id INT, area TEXT, date DATE); CREATE VIEW rural_areas AS SELECT * FROM areas WHERE population < 50000; | What is the number of flu cases in rural areas? | SELECT COUNT(*) FROM flu_cases JOIN rural_areas USING(area); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists genetics;CREATE TABLE if not exists genetics.studies (id INT, name VARCHAR(100), location VARCHAR(100)); INSERT INTO genetics.studies (id, name, location) VALUES (1, 'StudyA', 'Cape Town'), (2, 'StudyB', 'Nairobi'), (3, 'StudyC', 'Alexandria'); | Which genetic research studies have been conducted in Africa? | SELECT name FROM genetics.studies WHERE location = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE workshops (id INT, region VARCHAR(20), revenue DECIMAL(10,2)); INSERT INTO workshops (id, region, revenue) VALUES (1, 'Los Angeles', 500.00), (2, 'New York', 700.00); CREATE TABLE users (id INT, age INT, joined DATE); INSERT INTO users (id, age, joined) VALUES (1, 26, '2021-01-01'), (2, 30, '2020-01-01'); | What is the total revenue generated from workshops in the Los Angeles region, for users aged 25-34, in the year 2021? | SELECT SUM(workshops.revenue) FROM workshops INNER JOIN users ON workshops.region = 'Los Angeles' AND users.age BETWEEN 25 AND 34 AND YEAR(users.joined) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_initiatives (year INT, city VARCHAR(255), initiative_type VARCHAR(255)); | Insert new records of recycling initiatives in Mumbai in 2023 | INSERT INTO recycling_initiatives (year, city, initiative_type) VALUES (2023, 'Mumbai', 'Plastic Recycling'), (2023, 'Mumbai', 'Paper Recycling'), (2023, 'Mumbai', 'Glass Recycling'); | gretelai_synthetic_text_to_sql |
CREATE TABLE startups(id INT, name TEXT, industry TEXT, founder_ethnicity TEXT); INSERT INTO startups(id, name, industry, founder_ethnicity) VALUES (1, 'RetailEmpower', 'Retail', 'Latinx'), (2, 'TechBoost', 'Technology', 'Asian'); | What is the number of startups founded by Latinx individuals in the retail sector? | SELECT COUNT(*) FROM startups WHERE industry = 'Retail' AND founder_ethnicity = 'Latinx'; | gretelai_synthetic_text_to_sql |
CREATE TABLE bbc_news (article_id INT, title TEXT, category TEXT, publisher TEXT); INSERT INTO bbc_news (article_id, title, category, publisher) VALUES (1, 'Article 1', 'Politics', 'BBC News'), (2, 'Article 2', 'Business', 'BBC News'); | List all the articles published by 'BBC News' in the politics category. | SELECT * FROM bbc_news WHERE category = 'Politics'; | gretelai_synthetic_text_to_sql |
CREATE TABLE permit (permit_id INT, permit_type TEXT, state TEXT, cost INT, sqft INT); INSERT INTO permit (permit_id, permit_type, state, cost, sqft) VALUES (1, 'Residential', 'California', 50000, 2000), (2, 'Commercial', 'California', 200000, 5000); | What is the average permit cost per square foot for all permit types in the state of California? | SELECT AVG(cost/sqft) FROM permit WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name VARCHAR(50));CREATE TABLE games (game_id INT, team_id INT, home_team BOOLEAN, price DECIMAL(5,2), attendance INT);INSERT INTO teams (team_id, team_name) VALUES (1, 'Red Sox'), (2, 'Yankees');INSERT INTO games (game_id, team_id, home_team, price, attendance) VALUES (1, 1, 1, 35.50, 30000), (2, 2, 1, 42.75, 45000), (3, 1, 0, 28.00, 22000); | What is the maximum ticket price for home games of each team, excluding games with attendance less than 10000? | SELECT t.team_name, MAX(g.price) AS max_price FROM teams t INNER JOIN games g ON t.team_id = g.team_id AND g.home_team = t.team_id WHERE g.attendance >= 10000 GROUP BY t.team_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (id INT, name VARCHAR(50), department VARCHAR(50), hire_date DATE, country VARCHAR(50)); INSERT INTO Employees (id, name, department, hire_date, country) VALUES (1, 'John Doe', 'HR', '2021-01-15', 'USA'); INSERT INTO Employees (id, name, department, hire_date, country) VALUES (2, 'Jane Smith', 'IT', '2021-03-20', 'Canada'); INSERT INTO Employees (id, name, department, hire_date, country) VALUES (3, 'Alice Johnson', 'Finance', '2021-06-10', 'USA'); | What is the total number of employees hired from each country? | SELECT country, COUNT(*) AS total_hired FROM Employees GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, sector VARCHAR(20), ESG_score FLOAT); INSERT INTO companies (id, sector, ESG_score) VALUES (1, 'Energy', 85.2), (2, 'Energy', 76.3), (3, 'Energy', 88.1), (4, 'Healthcare', 69.9); | How many companies in the energy sector have an ESG score above 80? | SELECT COUNT(*) FROM companies WHERE sector = 'Energy' AND ESG_score > 80; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_consumption_2018 (country VARCHAR(50), year INT, energy_consumption FLOAT, population INT); INSERT INTO energy_consumption_2018 (country, year, energy_consumption, population) VALUES ('United States', 2018, 2868.6, 329.09), ('China', 2018, 3079.4, 1434.2), ('India', 2018, 1109.8, 1366.0), ('Germany', 2018, 1278.0, 83.0), ('Brazil', 2018, 554.3, 211.0); | What is the top 10 energy-efficient countries by energy consumption per capita in 2018? | SELECT country, (energy_consumption / population) AS energy_consumption_per_capita FROM energy_consumption_2018 WHERE year = 2018 ORDER BY energy_consumption_per_capita ASC LIMIT 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE charging_stations (id INT, system_type VARCHAR(20), city VARCHAR(20), num_stations INT); INSERT INTO charging_stations (id, system_type, city, num_stations) VALUES (1, 'Public Transportation', 'Tokyo', 600), (2, 'Highway', 'Tokyo', 800); | how many charging stations are there in the public transportation system in Tokyo? | SELECT num_stations FROM charging_stations WHERE system_type = 'Public Transportation' AND city = 'Tokyo'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wnba (player_id INT, name VARCHAR(50), points INT); INSERT INTO wnba (player_id, name, points) VALUES (1, 'Brittney Griner', 40), (2, 'Diana Taurasi', 37), (3, 'Sue Bird', 22); | What is the maximum number of points scored by a player in a single game of the WNBA? | SELECT MAX(points) FROM wnba; | gretelai_synthetic_text_to_sql |
CREATE TABLE CountyVegetableYield (county VARCHAR(20), vegetable VARCHAR(20), quantity INT, price FLOAT); | What was the total production of 'Tomatoes' and 'Cucumbers' in 'CountyVegetableYield' table? | SELECT county, SUM(CASE WHEN vegetable = 'Tomatoes' THEN quantity ELSE 0 END) + SUM(CASE WHEN vegetable = 'Cucumbers' THEN quantity ELSE 0 END) as total_tomatoes_cucumbers FROM CountyVegetableYield GROUP BY county; | gretelai_synthetic_text_to_sql |
CREATE TABLE Customers (CustomerID INT, Size VARCHAR(10), Country VARCHAR(255)); INSERT INTO Customers (CustomerID, Size, Country) VALUES (1, 'XS', 'Brazil'), (2, 'S', 'Argentina'), (3, 'M', 'Chile'), (4, 'L', 'Peru'), (5, 'XL', 'Colombia'), (6, 'XS', 'Nigeria'), (7, 'L', 'Egypt'); | How many customers are there for each size in the 'Africa' region? | SELECT Size, COUNT(*) FROM Customers WHERE Country = 'Africa' GROUP BY Size; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (artist_id INT, artist_name VARCHAR(100), revenue INT, year INT); INSERT INTO artists (artist_id, artist_name, revenue, year) VALUES (1, 'Taylor Swift', 1200000, 2020); INSERT INTO artists (artist_id, artist_name, revenue, year) VALUES (2, 'BTS', 1000000, 2020); INSERT INTO artists (artist_id, artist_name, revenue, year) VALUES (3, 'Dua Lipa', 1100000, 2020); | Rank artists by their total revenue in 2020, assigning a rank of 1 to the artist with the highest revenue. | SELECT artist_name, RANK() OVER (ORDER BY revenue DESC) as artist_rank FROM artists WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE crop_data (id INT, crop_type VARCHAR(255), temperature INT, humidity INT, timestamp DATETIME); INSERT INTO crop_data (id, crop_type, temperature, humidity, timestamp) VALUES (1, 'Corn', 25, 60, '2022-01-01 10:00:00'); | Calculate the average temperature and humidity for each crop type in the past week. | SELECT crop_type, AVG(temperature) as avg_temp, AVG(humidity) as avg_humidity FROM crop_data WHERE timestamp >= DATE_SUB(CURRENT_TIMESTAMP(), INTERVAL 1 WEEK) GROUP BY crop_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name VARCHAR(255), imo INT); CREATE TABLE events (id INT, vessel_id INT, event_type VARCHAR(255), event_date DATE); | Which vessels had a speeding event in the last 30 days? | SELECT v.name FROM vessels v JOIN events e ON v.id = e.vessel_id WHERE e.event_type = 'Speeding' AND e.event_date >= CURDATE() - INTERVAL 30 DAY; | gretelai_synthetic_text_to_sql |
CREATE TABLE accounts (account_id INT, account_type VARCHAR(20), region VARCHAR(20), risk_level VARCHAR(10)); INSERT INTO accounts (account_id, account_type, region, risk_level) VALUES (1, 'Checking', 'Europe', 'High'), (2, 'Savings', 'Asia', 'Low'); | How many high-risk accounts are present in the European region? | SELECT COUNT(*) FROM accounts WHERE region = 'Europe' AND risk_level = 'High'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Salaries (EmployeeID int, Name varchar(50), Position varchar(50), Salary decimal(10,2), Country varchar(50)); INSERT INTO Salaries (EmployeeID, Name, Position, Salary, Country) VALUES (1, 'John Doe', 'Engineer', 60000.00, 'USA'), (2, 'Jane Smith', 'Manager', 70000.00, 'USA'), (3, 'Peter Lee', 'Operator', 35000.00, 'Canada'), (4, 'Ana Gomez', 'Technician', 40000.00, 'Mexico'), (5, 'Maria Rodriguez', 'Assistant', 25000.00, 'Mexico'); | What is the salary difference between the highest paid employee and the lowest paid employee in each country? | SELECT Country, MAX(Salary) - MIN(Salary) as SalaryDifference FROM Salaries GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_works_projects (project VARCHAR(50)); INSERT INTO public_works_projects (project) VALUES ('Road Repair'); INSERT INTO public_works_projects (project) VALUES ('Drainage System Installation'); INSERT INTO public_works_projects (project) VALUES ('Street Lighting'); | What is the total number of projects in the 'public_works_projects' table? | SELECT COUNT(*) FROM public_works_projects; | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT, severity VARCHAR(255)); INSERT INTO vulnerabilities (id, severity) VALUES (1, 'critical'), (2, 'high'); | List all vulnerabilities that have been assigned a severity rating of 'critical'. | SELECT * FROM vulnerabilities WHERE severity = 'critical'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sites (site_id INT, site_name VARCHAR(100), state VARCHAR(50)); INSERT INTO sites (site_id, site_name, state) VALUES (1, 'Golden Mining Site', 'California'); INSERT INTO sites (site_id, site_name, state) VALUES (2, 'Silver Peak Mine', 'Nevada'); INSERT INTO sites (site_id, site_name, state) VALUES (3, 'Utah Mine', 'Utah'); CREATE TABLE extraction (extraction_id INT, site_id INT, mineral VARCHAR(50), quantity INT); INSERT INTO extraction (extraction_id, site_id, mineral, quantity) VALUES (1, 1, 'Silver', 500); INSERT INTO extraction (extraction_id, site_id, mineral, quantity) VALUES (2, 2, 'Silver', 700); INSERT INTO extraction (extraction_id, site_id, mineral, quantity) VALUES (3, 3, 'Gold', 1000); INSERT INTO extraction (extraction_id, site_id, mineral, quantity) VALUES (4, 3, 'Gold', 1500); | What is the total amount of gold extracted from each mining site in Utah? | SELECT sites.site_name, SUM(extraction.quantity) as total_gold_extracted FROM sites JOIN extraction ON sites.site_id = extraction.site_id WHERE sites.state = 'Utah' AND extraction.mineral = 'Gold' GROUP BY sites.site_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE ProtectedSpecies(species_id INT, species_name TEXT, region TEXT); INSERT INTO ProtectedSpecies (species_id, species_name, region) VALUES (151, 'Lynx', 'Region E'), (152, 'Seal', 'Region F'), (153, 'Otter', 'Region G'); | Show the species names and regions of all protected species with an ID less than 150. | SELECT species_name, region FROM ProtectedSpecies WHERE species_id < 150; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (VolunteerID INT, VolunteerName TEXT, ProgramCategory TEXT, HoursWorked FLOAT); INSERT INTO Volunteers (VolunteerID, VolunteerName, ProgramCategory, HoursWorked) VALUES (1, 'Alice', 'Youth', 5.0), (2, 'Bob', 'Seniors', 10.0); | What is the total number of volunteers and total number of volunteer hours for each program category? | SELECT ProgramCategory, COUNT(DISTINCT VolunteerID) as TotalVolunteers, SUM(HoursWorked) as TotalHours FROM Volunteers GROUP BY ProgramCategory; | gretelai_synthetic_text_to_sql |
CREATE TABLE building_permits (permit_type TEXT, state TEXT, cost INTEGER, year INTEGER);INSERT INTO building_permits (permit_type, state, cost, year) VALUES ('Residential', 'Texas', 250000, 2018), ('Commercial', 'Texas', 600000, 2018), ('Industrial', 'Texas', 400000, 2018); | What are the total construction costs for each type of building permit in the state of Texas for the year 2018, excluding industrial permits? | SELECT permit_type, SUM(cost) FROM building_permits WHERE state = 'Texas' AND year = 2018 AND permit_type != 'Industrial' GROUP BY permit_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE ingredients (ingredient_id INT, ingredient_name VARCHAR(255), supplier_id INT, is_organic BOOLEAN); | What is the total number of organic and non-organic ingredients in the database? | SELECT SUM(is_organic) AS total_organic, SUM(NOT is_organic) AS total_non_organic FROM ingredients; | gretelai_synthetic_text_to_sql |
CREATE TABLE disaster_response_training (session_id INT, organization_id INT, affected_region VARCHAR(20), training_date DATE); INSERT INTO disaster_response_training (session_id, organization_id, affected_region, training_date) VALUES (1001, 101, 'Asia', '2020-02-03'), (1002, 101, 'Africa', '2020-11-15'), (1003, 102, 'South America', '2020-06-27'), (1004, 102, 'Europe', '2020-09-10'); | How many disaster response training sessions were conducted by each organization for each affected region in 2020? | SELECT organization_id, affected_region, COUNT(*) as training_sessions_count FROM disaster_response_training WHERE EXTRACT(YEAR FROM training_date) = 2020 GROUP BY organization_id, affected_region; | gretelai_synthetic_text_to_sql |
CREATE TABLE RenewableCapacities (country TEXT, capacity INT); INSERT INTO RenewableCapacities (country, capacity) VALUES ('United States', 250000), ('China', 500000); | What is the total installed renewable energy capacity for each country in the RenewableCapacities table? | SELECT country, SUM(capacity) FROM RenewableCapacities GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE animals (animal_id SERIAL PRIMARY KEY, name VARCHAR(255), species VARCHAR(255)); INSERT INTO animals (animal_id, name, species) VALUES (1, 'Lion', 'Feline'), (2, 'Tiger', 'Feline'), (3, 'Bear', 'Ursidae'); | List all animals and their species from the "animals" table | SELECT animal_id, name, species FROM animals; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name TEXT, founder TEXT, industry TEXT, funding FLOAT); INSERT INTO company (id, name, founder, industry, funding) VALUES (1, 'Acme Inc', 'Female', 'Tech', 2000000); | What is the average funding amount per industry category for companies founded by women? | SELECT industry, AVG(funding) FROM company WHERE founder = 'Female' GROUP BY industry; | gretelai_synthetic_text_to_sql |
CREATE TABLE donor_retention_data (id INT, age INT, donor INT, retained INT); INSERT INTO donor_retention_data (id, age, donor, retained) VALUES (1, 25, 100, 85), (2, 35, 120, 90), (3, 45, 150, 100), (4, 55, 180, 120); | What is the donation retention rate by age group? | SELECT age_group, AVG(retained/donor*100) as retention_rate FROM (SELECT CASE WHEN age < 30 THEN 'Under 30' WHEN age < 50 THEN '30-49' ELSE '50+' END as age_group, donor, retained FROM donor_retention_data) AS subquery GROUP BY age_group; | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_sales (id INT PRIMARY KEY, garment_id INT, quantity INT, sale_date DATE); | What was the total quantity of garment 001 sold in 2022? | SELECT SUM(quantity) FROM garment_sales WHERE garment_id = 1 AND sale_date BETWEEN '2022-01-01' AND '2022-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (project_id INT PRIMARY KEY, project_name VARCHAR(100), sector VARCHAR(50), country VARCHAR(50), region VARCHAR(50), start_date DATE, end_date DATE); | Insert new records for rural infrastructure projects in 'Asia' in the 'rural_development' database's 'projects' table | INSERT INTO projects (project_id, project_name, sector, country, region, start_date, end_date) VALUES (1, 'Asian Rural Connectivity Initiative', 'Infrastructure', 'India', 'South Asia', '2022-01-01', '2025-12-31'), (2, 'Asian Agricultural Infrastructure Development', 'Infrastructure', 'China', 'East Asia', '2023-01-01', '2026-12-31'); | gretelai_synthetic_text_to_sql |
CREATE TABLE public.monthly_trips_by_micro_mobility (id SERIAL PRIMARY KEY, vehicle_type TEXT, city TEXT, month_start DATE, month_trips INTEGER); INSERT INTO public.monthly_trips_by_micro_mobility (vehicle_type, city, month_start, month_trips) VALUES ('shared_scooter', 'Rio de Janeiro', '2022-02-01', 20000), ('shared_scooter', 'Rio de Janeiro', '2022-03-01', 18000), ('shared_scooter', 'Rio de Janeiro', '2022-04-01', 15000); | What is the minimum number of trips taken by shared scooters in Rio de Janeiro in a month? | SELECT MIN(month_trips) FROM public.monthly_trips_by_micro_mobility WHERE vehicle_type = 'shared_scooter' AND city = 'Rio de Janeiro'; | gretelai_synthetic_text_to_sql |
CREATE TABLE social_media_posts (post_id INT, likes INT, topic VARCHAR(255), platform VARCHAR(50)); CREATE VIEW climate_change_posts AS SELECT DISTINCT post_id FROM social_media_posts WHERE topic = 'climate change'; | Find the top 5 most liked social media posts about climate change. | SELECT post_id, likes FROM climate_change_posts WHERE topic = 'climate change' ORDER BY likes DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Ingredients (IngredientID INT, Name VARCHAR(50), Quantity INT, VendorID INT, Local BOOLEAN); INSERT INTO Ingredients (IngredientID, Name, Quantity, VendorID, Local) VALUES (1, 'Lettuce', 10, 1, true), (2, 'Tomato', 20, 1, true), (3, 'Cheese', 30, 2, false); | What is the total quantity of locally sourced ingredients used by each vendor? | SELECT VendorID, SUM(Quantity) FROM Ingredients WHERE Local = true GROUP BY VendorID; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (country_id INT, country_name VARCHAR(255)); CREATE TABLE metrics (metric_id INT, metric_name VARCHAR(255), country_id INT); | What is the total number of agricultural innovation metrics in each country, sorted by metric count in descending order? | SELECT c.country_name, COUNT(m.metric_id) as metric_count FROM countries c JOIN metrics m ON c.country_id = m.country_id GROUP BY c.country_name ORDER BY metric_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE wastewater_plants (id INT, name VARCHAR(50), location VARCHAR(50), capacity INT); | Update the location of a wastewater plant in the wastewater_plants table | UPDATE wastewater_plants SET location = 'City B' WHERE id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Site (SiteID VARCHAR(10), SiteName VARCHAR(20)); INSERT INTO Site (SiteID, SiteName) VALUES ('A', 'Site A'), ('B', 'Site B'); CREATE TABLE Artifact (ArtifactID VARCHAR(10), SiteID VARCHAR(10), Weight FLOAT); INSERT INTO Artifact (ArtifactID, SiteID, Weight) VALUES ('1', 'A', 12.3), ('2', 'A', 15.6), ('3', 'B', 8.9), ('4', 'B', 9.7); | What is the average weight of artifacts excavated from 'Site A' and 'Site B'? | SELECT AVG(Weight) FROM Artifact WHERE SiteID IN ('A', 'B'); | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (building_id INT, building_name VARCHAR(255), country VARCHAR(255), rating VARCHAR(255)); | What is the total number of green buildings in the UK with a gold rating? | SELECT COUNT(*) FROM green_buildings WHERE country = 'UK' AND rating = 'gold'; | gretelai_synthetic_text_to_sql |
CREATE TABLE country_power_plants (country VARCHAR(255), power_plant VARCHAR(255), monthly_production FLOAT); INSERT INTO country_power_plants VALUES ('Country X', 'Plant 1', 1000), ('Country X', 'Plant 2', 1200), ('Country Y', 'Plant 3', 1500), ('Country Y', 'Plant 4', 1700), ('Country Z', 'Plant 5', 1300), ('Country Z', 'Plant 6', 1100); | List the top 2 countries with the highest average energy production per power plant in descending order. | SELECT country, AVG(monthly_production) AS avg_monthly_production FROM country_power_plants GROUP BY country ORDER BY avg_monthly_production DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE basins (id INT, name VARCHAR(255), max_depth FLOAT); INSERT INTO basins (id, name, max_depth) VALUES (1, 'Pacific Ocean', 36000.0), (2, 'Atlantic Ocean', 36000.0), (3, 'Indian Ocean', 7000.0); CREATE TABLE habitats (id INT, depth FLOAT, location VARCHAR(255)); INSERT INTO habitats (id, depth, location) VALUES (1, 100.0, 'Pacific Ocean'), (2, 36000.0, 'Atlantic Ocean'), (3, 7000.0, 'Indian Ocean'); CREATE VIEW max_depths AS SELECT basins.name, habitats.depth FROM basins INNER JOIN habitats ON basins.name = habitats.location; | What is the maximum depth of the ocean in each ocean basin? | SELECT * FROM max_depths; | gretelai_synthetic_text_to_sql |
CREATE TABLE country_circular_chains (country VARCHAR(255), product_id INT, quantity INT, FOREIGN KEY (product_id) REFERENCES circular_supply_chains(product_id)); | What is the total quantity of products manufactured in each country using circular supply chains? | SELECT country, SUM(quantity) FROM country_circular_chains GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT, name TEXT, location TEXT, num_beds INT); INSERT INTO hospitals (id, name, location, num_beds) VALUES (1, 'General Hospital', 'City A', 500), (2, 'Community Clinic', 'City B', 50); CREATE TABLE clinics (id INT, name TEXT, location TEXT, num_doctors INT); INSERT INTO clinics (id, name, location, num_doctors) VALUES (1, 'Downtown Clinic', 'City A', 10), (2, 'Rural Clinic', 'City C', 8); | What is the ratio of hospital beds to doctors in each city? | SELECT h.location, h.num_beds / c.num_doctors AS bed_to_doctor_ratio FROM hospitals h JOIN clinics c ON h.location = c.location; | gretelai_synthetic_text_to_sql |
CREATE TABLE match_results (MatchID INT, PlayerID INT, Result VARCHAR(5)); INSERT INTO match_results (MatchID, PlayerID, Result) VALUES (1, 1, 'Win'); INSERT INTO match_results (MatchID, PlayerID, Result) VALUES (2, 2, 'Loss'); INSERT INTO match_results (MatchID, PlayerID, Result) VALUES (3, 1, 'Win'); | Count the number of wins and losses for each player in 'match_results' table. | SELECT PlayerID, SUM(CASE WHEN Result = 'Win' THEN 1 ELSE 0 END) AS Wins, SUM(CASE WHEN Result = 'Loss' THEN 1 ELSE 0 END) AS Losses FROM match_results GROUP BY PlayerID; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA IF NOT EXISTS rural_development;CREATE TABLE IF NOT EXISTS rural_development.community_development (name VARCHAR(255), location VARCHAR(255));INSERT INTO rural_development.community_development (name, location) VALUES ('youth_center', 'Chicago'), ('community_garden', 'Boston'), ('cultural_festival', 'New York'); | What are the names of all community development initiatives in the 'rural_development' schema that have a 'location' starting with the letter 'C'? | SELECT name FROM rural_development.community_development WHERE location LIKE 'C%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Virtual_Tourism (Experience VARCHAR(50), Platform VARCHAR(50), User_Experience INT); INSERT INTO Virtual_Tourism (Experience, Platform, User_Experience) VALUES ('Great Wall of China Tour', 'Google Arts & Culture', 4800), ('Eiffel Tower Tour', 'AirPano', 3500), ('Vatican City Tour', 'Yandex', 5200); | Retrieve all sites from the Virtual_Tourism table that have a User_Experience value above 4000. | SELECT Experience FROM Virtual_Tourism WHERE User_Experience > 4000; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_reserves (reserve_name VARCHAR(255), region VARCHAR(255), reserve_area FLOAT); INSERT INTO marine_reserves (reserve_name, region, reserve_area) VALUES ('Bermuda', 'Atlantic', 500.0), ('Azores', 'Atlantic', 600.0); | What is the total area of all marine reserves in the Atlantic region? | SELECT SUM(reserve_area) FROM marine_reserves WHERE region = 'Atlantic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Age INT, Gender VARCHAR(10), LastPurchaseDate DATE); INSERT INTO Players (PlayerID, Age, Gender, LastPurchaseDate) VALUES (1, 25, 'Male', '2021-01-15'), (2, 30, 'Female', '2021-02-03'), (3, 22, 'Male', '2021-03-10'); | What is the average age of players who have made a purchase in the last month from the 'Gaming' category? | SELECT AVG(Age) FROM Players WHERE LastPurchaseDate >= DATEADD(month, -1, GETDATE()) AND Category = 'Gaming'; | 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, '2021-04-01'); INSERT INTO sales (product_category, sales_amount, sale_date) VALUES ('men_shirts', 700, '2021-05-01'); INSERT INTO sales (product_category, sales_amount, sale_date) VALUES ('men_shirts', 800, '2021-06-01'); | What was the total revenue for men's shirts in Q2 2021? | SELECT SUM(sales_amount) FROM sales WHERE product_category = 'men_shirts' AND sale_date BETWEEN '2021-04-01' AND '2021-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Shipments (id INT, warehouse_id INT, shipped_date DATE, packages INT); INSERT INTO Shipments (id, warehouse_id, shipped_date, packages) VALUES (1, 1, '2022-01-01', 50), (2, 1, '2022-01-02', 75), (3, 2, '2022-01-03', 100); | What is the maximum number of packages shipped in a single day? | SELECT MAX(s.packages) FROM Shipments s; | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_productivity (year INT, mine_name TEXT, workers INT, productivity FLOAT); INSERT INTO labor_productivity (year, mine_name, workers, productivity) VALUES (2015, 'Aggromine A', 50, 32.4), (2016, 'Borax Bravo', 80, 45.6), (2017, 'Carbon Cat', 100, 136.7), (2017, 'Carbon Cat', 110, 142.3), (2018, 'Diamond Delta', 120, 150.5), (2019, 'Emerald Echo', 130, 165.2), (2019, 'Emerald Echo', 140, 170.8), (2020, 'Krypton Kite', 150, 188.1), (2020, 'Krypton Kite', 160, 195.3); | What is the average labor productivity of the Krypton Kite mine for each year? | SELECT year, mine_name, AVG(productivity) as avg_productivity FROM labor_productivity WHERE mine_name = 'Krypton Kite' GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_transportation (id INT, city VARCHAR(50), users INT, country VARCHAR(50), year INT); INSERT INTO public_transportation (id, city, users, country, year) VALUES (1, 'Sydney', 800000, 'Australia', 2019), (2, 'Melbourne', 700000, 'Australia', 2019), (3, 'Brisbane', 600000, 'Australia', 2019), (4, 'Sydney', 700000, 'Australia', 2020), (5, 'Melbourne', 600000, 'Australia', 2020); | Number of public transportation users in Australia in 2019 and 2020. | SELECT year, SUM(users) FROM public_transportation WHERE country = 'Australia' GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE New_Extractions_2 (country TEXT, mineral TEXT, quantity INTEGER, region TEXT); | Insert records of new mineral extractions in the 'South America' region. | INSERT INTO New_Extractions_2 (country, mineral, quantity, region) VALUES ('Brazil', 'Diamond', 120, 'South America'); INSERT INTO New_Extractions_2 (country, mineral, quantity, region) VALUES ('Peru', 'Emerald', 90, 'South America'); | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_buses (bus_id INT, license_plate TEXT, model TEXT, production_year INT, in_service BOOLEAN, city TEXT); | How many autonomous buses are operating in Tokyo, Japan? | SELECT COUNT(*) FROM autonomous_buses WHERE city = 'Tokyo' AND in_service = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE faculty_grants (faculty_id INT, faculty_name VARCHAR(255), gender VARCHAR(10), department VARCHAR(255), grant_amount DECIMAL(10, 2)); INSERT INTO faculty_grants (faculty_id, faculty_name, gender, department, grant_amount) VALUES (1, 'Sophia Rodriguez', 'Female', 'Computer Science', 50000), (2, 'John Kim', 'Male', 'Computer Science', 75000), (3, 'Leila Ahmed', 'Female', 'Computer Science', 100000); | What is the total amount of research grants obtained by female faculty members in the Computer Science department, ranked by the total amount in descending order? | SELECT faculty_name, SUM(grant_amount) AS total_grant_amount FROM faculty_grants WHERE department = 'Computer Science' AND gender = 'Female' GROUP BY faculty_name ORDER BY total_grant_amount DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE region (region_id INT, name VARCHAR(255)); INSERT INTO region (region_id, name) VALUES (1, 'east_asia'); CREATE TABLE shelter (shelter_id INT, name VARCHAR(255), region_id INT, capacity INT); INSERT INTO shelter (shelter_id, name, region_id, capacity) VALUES (1, 'Shelter1', 1, 50), (2, 'Shelter2', 1, 75); | How many shelters are there with a capacity greater than 70 in 'east_asia' region? | SELECT COUNT(*) FROM shelter WHERE region_id = (SELECT region_id FROM region WHERE name = 'east_asia') AND capacity > 70; | gretelai_synthetic_text_to_sql |
CREATE TABLE otas (ota_id INT, hotel_id INT, bookings INT); CREATE TABLE hotels (hotel_id INT, name TEXT, category TEXT); INSERT INTO otas (ota_id, hotel_id, bookings) VALUES (1, 1, 100), (2, 2, 150), (3, 3, 75); INSERT INTO hotels (hotel_id, name, category) VALUES (1, 'Hotel A', 'Boutique'), (2, 'Hotel B', 'Luxury'), (3, 'Hotel C', 'City'); | List the number of OTA bookings made for each hotel in the 'Boutique' category. | SELECT hotels.name, SUM(otas.bookings) FROM otas INNER JOIN hotels ON otas.hotel_id = hotels.hotel_id WHERE hotels.category = 'Boutique' GROUP BY hotels.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE OrgDonations (OrgID INT, DonationAmount INT); | Find total donations for each org in '2021' with cross join | SELECT o.OrgName, SUM(d.DonationAmount) FROM Organizations o CROSS JOIN OrgDonations d WHERE o.OrgID = d.OrgID AND YEAR(d.DonationDate) = 2021 GROUP BY o.OrgName; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (id INT, name TEXT); CREATE TABLE categories (id INT, name TEXT); CREATE TABLE articles (id INT, title TEXT, content TEXT, category_id INT, country_id INT); INSERT INTO countries (id, name) VALUES (1, 'USA'), (2, 'Canada'), (3, 'Mexico'); INSERT INTO categories (id, name) VALUES (1, 'Politics'), (2, 'Technology'), (3, 'Sports'); INSERT INTO articles (id, title, content, category_id, country_id) VALUES (1, 'Article 1', 'Content 1', 1, 1), (2, 'Article 2', 'Content 2', 2, 2), (3, 'Article 3', 'Content 3', 1, 3), (4, 'Article 4', 'Content 4', 1, 1), (5, 'Article 5', 'Content 5', 3, 2); | What is the average word count of articles in each country, for articles published in the 'politics' category? | SELECT countries.name, AVG(LENGTH(articles.content) - LENGTH(REPLACE(articles.content, ' ', '')) + 1) as avg_word_count FROM articles INNER JOIN countries ON articles.country_id = countries.id INNER JOIN categories ON articles.category_id = categories.id WHERE categories.name = 'Politics' GROUP BY countries.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vehicle (VehicleID INT, VehicleType VARCHAR(255)); INSERT INTO Vehicle (VehicleID, VehicleType) VALUES (1, 'Bus'), (2, 'Tram'), (3, 'Train'), (4, 'Ferry'); CREATE TABLE Maintenance (MaintenanceID INT, VehicleID INT, MaintenanceCost DECIMAL(5,2)); INSERT INTO Maintenance (MaintenanceID, VehicleID, MaintenanceCost) VALUES (1, 1, 1200.00), (2, 1, 1100.00), (3, 2, 1500.00), (4, 2, 1400.00), (5, 3, 1600.00), (6, 3, 1700.00), (7, 4, 1300.00), (8, 4, 1200.00); | What is the total cost of vehicle maintenance for each type of public transportation? | SELECT Vehicle.VehicleType, SUM(MaintenanceCost) FROM Vehicle JOIN Maintenance ON Vehicle.VehicleID = Maintenance.VehicleID GROUP BY Vehicle.VehicleType; | gretelai_synthetic_text_to_sql |
CREATE TABLE shared_ebikes (ebike_id INT, trip_id INT, trip_start_time TIMESTAMP, trip_end_time TIMESTAMP, start_latitude DECIMAL(9,6), start_longitude DECIMAL(9,6), end_latitude DECIMAL(9,6), end_longitude DECIMAL(9,6), availability INT); | What is the maximum number of electric bikes available in a shared fleet in Sao Paulo at any given time? | SELECT MAX(availability) FROM shared_ebikes WHERE start_longitude BETWEEN -46.8 AND -46.2 AND start_latitude BETWEEN -23.9 AND -23.3; | gretelai_synthetic_text_to_sql |
CREATE TABLE finance (region VARCHAR(255), sector VARCHAR(255), amount FLOAT); INSERT INTO finance (region, sector, amount) VALUES ('North America', 'Energy Efficiency', 9000000), ('South America', 'Energy Efficiency', 7000000), ('Europe', 'Energy Efficiency', 11000000); | What is the total climate finance investment in energy efficiency in North America? | SELECT SUM(amount) FROM finance WHERE region = 'North America' AND sector = 'Energy Efficiency'; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (region_id INT, region_name VARCHAR(50)); INSERT INTO regions (region_id, region_name) VALUES (1, 'West'), (2, 'East'), (3, 'North'), (4, 'South'); CREATE TABLE pallet_movements (pallet_id INT, movement_date DATE, region_id INT); INSERT INTO pallet_movements (pallet_id, movement_date, region_id) VALUES (1, '2021-10-01', 1), (2, '2021-10-02', 1), (3, '2021-10-03', 2); | How many pallets were moved through the west region last month? | SELECT COUNT(pallet_id) FROM pallet_movements WHERE movement_date >= '2021-10-01' AND movement_date <= LAST_DAY('2021-10-01') AND region_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Infrastructure (id INT, name VARCHAR(100), type VARCHAR(50), state VARCHAR(50)); INSERT INTO Infrastructure (id, name, type, state) VALUES (7, 'University of Texas', 'School', 'Texas'), (8, 'Oklahoma State University', 'School', 'Oklahoma'); | Get the number of schools in each state | SELECT state, COUNT(*) FROM Infrastructure WHERE type = 'School' GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE team_info (id INT, team_name VARCHAR(50), region VARCHAR(30), wins INT, losses INT); INSERT INTO team_info (id, team_name, region, wins, losses) VALUES (1, 'Northern Lights', 'North America', 15, 5); INSERT INTO team_info (id, team_name, region, wins, losses) VALUES (2, 'Quantum Knights', 'Europe', 10, 8); INSERT INTO team_info (id, team_name, region, wins, losses) VALUES (3, 'Phoenix Force', 'North America', 12, 7); INSERT INTO team_info (id, team_name, region, wins, losses) VALUES (4, 'Cyber Sabers', 'Asia', 8, 10); | What is the total number of wins for teams from North America that have participated in the "Cybernetic Showdown" eSports tournament? | SELECT SUM(wins) FROM team_info WHERE region = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_monthly (id INT, record_date DATE, source VARCHAR(10)); INSERT INTO threat_monthly (id, record_date, source) VALUES (1, '2022-02-01', 'TI5'), (2, '2022-02-15', 'TI6'), (3, '2022-03-01', 'TI7'), (4, '2022-04-01', 'TI8'), (5, '2022-04-15', 'TI5'), (6, '2022-05-01', 'TI6'); | Display the number of threat intelligence records and their source by month | SELECT EXTRACT(MONTH FROM record_date) as month, source, COUNT(*) as records FROM threat_monthly GROUP BY month, source; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity (state VARCHAR(20), violations INT); INSERT INTO mental_health_parity (state, violations) VALUES ('California', 15), ('Texas', 12), ('New York', 8); | What is the number of mental health parity violations by state? | SELECT state, SUM(violations) FROM mental_health_parity GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE founders (id INT, company_id INT, gender VARCHAR(10)); CREATE TABLE companies (id INT, industry VARCHAR(255), funding_round VARCHAR(255)); INSERT INTO founders SELECT 1, 1, 'Female'; INSERT INTO founders SELECT 2, 2, 'Male'; INSERT INTO founders SELECT 3, 3, 'Female'; INSERT INTO companies (id, industry, funding_round) SELECT 2, 'Finance', 'Seed'; INSERT INTO companies (id, industry, funding_round) SELECT 3, 'Healthcare', 'Series A'; INSERT INTO companies (id, industry, funding_round) SELECT 4, 'Retail', 'Series B'; | List the number of women-led startups in the healthcare sector with Series A funding or higher | SELECT COUNT(DISTINCT companies.id) FROM founders JOIN companies ON founders.company_id = companies.id WHERE companies.industry = 'Healthcare' AND founders.gender = 'Female' AND companies.funding_round >= 'Series A'; | gretelai_synthetic_text_to_sql |
CREATE TABLE teachers (teacher_id INT, country VARCHAR(50), led_open_pedagogy_workshop BOOLEAN); INSERT INTO teachers (teacher_id, country, led_open_pedagogy_workshop) VALUES (1, 'USA', true), (2, 'Canada', false), (3, 'Mexico', true); | Find the number of unique teachers who have led open pedagogy workshops in each country. | SELECT country, COUNT(DISTINCT teacher_id) FROM teachers WHERE led_open_pedagogy_workshop = true GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_id INT, organization_id INT, amount FLOAT, date DATE); INSERT INTO donations (id, donor_id, organization_id, amount, date) VALUES (1, 1, 101, 250.00, '2020-01-01'); INSERT INTO donations (id, donor_id, organization_id, amount, date) VALUES (2, 2, 102, 150.00, '2020-02-01'); | What is the total amount donated by donors from Canada? | SELECT SUM(amount) FROM donations WHERE country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, PlayerName VARCHAR(50), Age INT, Country VARCHAR(50), GamesPlayed INT); INSERT INTO Players (PlayerID, PlayerName, Age, Country, GamesPlayed) VALUES (1, 'John Doe', 25, 'USA', 100); INSERT INTO Players (PlayerID, PlayerName, Age, Country, GamesPlayed) VALUES (2, 'Jane Smith', 30, 'Canada', 200); INSERT INTO Players (PlayerID, PlayerName, Age, Country, GamesPlayed) VALUES (3, 'Raj Patel', 24, 'India', 50); INSERT INTO Players (PlayerID, PlayerName, Age, Country, GamesPlayed) VALUES (4, 'Svetlana Petrova', 28, 'Russia', 150); | How many players from each country have played more than 100 games? | SELECT Country, COUNT(*) FROM Players WHERE GamesPlayed > 100 GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_infrastructure (id INT, country VARCHAR(255), sector VARCHAR(255), allocated_budget INT, year INT); INSERT INTO rural_infrastructure (id, country, sector, allocated_budget, year) VALUES (1, 'Nepal', 'Transport', 800000, 2017), (2, 'Nepal', 'Education', 350000, 2017), (3, 'Pakistan', 'Healthcare', 1500000, 2017); | Infrastructure budget allocation for rural development initiatives, by country and sector, for the year 2017? | SELECT country, sector, SUM(allocated_budget) as total_allocated_budget FROM rural_infrastructure WHERE year = 2017 GROUP BY country, sector; | gretelai_synthetic_text_to_sql |
CREATE TABLE decentralized_applications (app_id INT, name VARCHAR(255), tvl DECIMAL(20, 2)); | What is the total value locked in a specific decentralized application? | SELECT name, tvl FROM decentralized_applications WHERE name = 'Aave'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mine_sites (site_id INT PRIMARY KEY, site_name VARCHAR(255), region VARCHAR(255)); | Delete all records from 'mine_sites' table where 'region' is 'Rocky Mountains' | DELETE FROM mine_sites WHERE region = 'Rocky Mountains'; | gretelai_synthetic_text_to_sql |
CREATE TABLE concerts (id INT, artist_name VARCHAR(255), tickets_sold INT); INSERT INTO concerts (id, artist_name, tickets_sold) VALUES (1, 'Taylor Swift', 12000), (2, 'BTS', 15000); | Find the number of tickets sold per concert by the artist 'Taylor Swift' | SELECT artist_name, SUM(tickets_sold) as total_tickets_sold FROM concerts WHERE artist_name = 'Taylor Swift' GROUP BY artist_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Infrastructure_Projects (id INT, name VARCHAR(100), state VARCHAR(50), cost FLOAT); INSERT INTO Infrastructure_Projects (id, name, state, cost) VALUES (1, 'Floodgate Construction', 'Texas', 12000000); INSERT INTO Infrastructure_Projects (id, name, state, cost) VALUES (2, 'Road Repaving', 'California', 2000000); | How many projects in 'Texas' and 'California' have a cost less than $5 million? | SELECT COUNT(*) FROM Infrastructure_Projects WHERE state IN ('Texas', 'California') AND cost < 5000000; | gretelai_synthetic_text_to_sql |
CREATE TABLE american_archaeology (id INT, site_name VARCHAR(50), artifact_name VARCHAR(50)); | How many sites in 'american_archaeology' have more than 10 artifacts? | SELECT site_name, COUNT(artifact_name) FROM american_archaeology GROUP BY site_name HAVING COUNT(artifact_name) > 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_patents (patent_name VARCHAR(255), country VARCHAR(255), year INT); INSERT INTO military_patents (patent_name, country, year) VALUES ('Patent 1', 'USA', 2021), ('Patent 2', 'China', 2021), ('Patent 3', 'Russia', 2021); | What is the number of military innovation patents filed by country in 2021? | SELECT country, COUNT(patent_name) FROM military_patents WHERE year = 2021 GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE packages (id INT, weight FLOAT, shipped_date DATE); INSERT INTO packages (id, weight, shipped_date) VALUES (1, 15.3, '2022-01-01'), (2, 22.1, '2022-01-15'); CREATE TABLE freight_methods (id INT, method VARCHAR(50), speed VARCHAR(50)); INSERT INTO freight_methods (id, method, speed) VALUES (1, 'expedited', 'fast'), (2, 'standard', 'slow'); | How many packages were shipped to Asia using standard freight in the last month? | SELECT COUNT(*) FROM packages JOIN freight_methods ON packages.id = freight_methods.id WHERE shipped_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) AND destination = 'Asia' AND method = 'standard'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (VesselID int, Name varchar(50), Type varchar(50), AverageSpeed float, ComplianceStatus varchar(50)); INSERT INTO Vessels VALUES (1, 'Vessel1', 'Transport', 15, 'Compliant'); | What is the maximum speed of vessels that complied with safety regulations in the last quarter? | SELECT MAX(V.AverageSpeed) FROM Vessels V WHERE V.ComplianceStatus = 'Compliant' AND V.AverageSpeed <= (SELECT AVG(AverageSpeed) FROM Vessels WHERE ComplianceStatus = 'Compliant') AND V.LastInspectionDate >= DATEADD(quarter, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE students (id INT, name VARCHAR(20), grade INT); INSERT INTO students (id, name, grade) VALUES (1, 'John', 95); INSERT INTO students (id, name, grade) VALUES (2, 'Jane', 85); INSERT INTO students (id, name, grade) VALUES (3, 'Bob', 90); INSERT INTO students (id, name, grade) VALUES (4, 'Alice', 80); INSERT INTO students (id, name, grade) VALUES (5, 'Brian', 98); CREATE TABLE courses (id INT, name VARCHAR(20), grade INT); INSERT INTO courses (id, name, grade) VALUES (1, 'Math', 0); INSERT INTO courses (id, name, grade) VALUES (2, 'English', 0); | List the top 3 students with the highest grades in 'Math' | SELECT students.name, courses.name, students.grade FROM students JOIN courses ON students.grade = courses.grade WHERE courses.name = 'Math' ORDER BY students.grade DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Contractors (contractor_id INT, name VARCHAR(255), location VARCHAR(255), license_number VARCHAR(50)); | Create a table named "Contractors" with columns "contractor_id", "name", "location", and "license_number". | CREATE TABLE Contractors (contractor_id INT, name VARCHAR(255), location VARCHAR(255), license_number VARCHAR(50)); | gretelai_synthetic_text_to_sql |
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