context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE defense_diplomacy (id INT, region VARCHAR(50), budget INT); | What is the maximum defense diplomacy event budget for each region in the 'defense_diplomacy' table, ordered by the maximum budget in descending order? | SELECT region, MAX(budget) as max_budget FROM defense_diplomacy GROUP BY region ORDER BY max_budget DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Feedback(Timestamp DATETIME, Region VARCHAR(20), FeedbackType VARCHAR(20), ResponseTime INT); | Insert a new record of citizen feedback for 'Housing' in the 'South East' region with a response time of 35 minutes on April 20, 2023. | INSERT INTO Feedback(Timestamp, Region, FeedbackType, ResponseTime) VALUES ('2023-04-20 10:00:00', 'South East', 'Housing', 35); | gretelai_synthetic_text_to_sql |
CREATE TABLE Nurses (State VARCHAR(50), Age INT, Gender VARCHAR(50), Specialty VARCHAR(50)); INSERT INTO Nurses (State, Age, Gender, Specialty) VALUES ('California', 25, 'Female', 'Nurse'), ('California', 30, 'Male', 'Nurse'), ('California', 40, 'Female', 'Nurse'); | Number of female nurses in California by age in 2019. | SELECT Age, COUNT(*) FROM Nurses WHERE State = 'California' AND Gender = 'Female' AND Specialty = 'Nurse' GROUP BY Age; | gretelai_synthetic_text_to_sql |
CREATE TABLE asset (asset_id INT, launch_date TIMESTAMP); | What is the number of unique digital assets on the Ethereum network for each month in 2021? | SELECT DATE_FORMAT(launch_date, '%Y-%m') as month, COUNT(DISTINCT asset_id) as unique_assets FROM asset WHERE launch_date BETWEEN '2021-01-01' AND '2021-12-31' GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE infectious_diseases (disease_id INT, report_date DATE, disease_name VARCHAR(255)); INSERT INTO infectious_diseases (disease_id, report_date, disease_name) VALUES (1, '2020-01-01', 'Flu'), (2, '2020-02-15', 'Measles'), (3, '2021-06-20', 'COVID-19'); | How many infectious diseases were reported by month, for the last three years? | SELECT YEAR(report_date) AS year, MONTH(report_date) AS month, COUNT(*) as disease_count FROM infectious_diseases WHERE report_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 3 YEAR) AND CURRENT_DATE GROUP BY YEAR(report_date), MONTH(report_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE aquaculture_farms (id INT, name VARCHAR(255)); INSERT INTO aquaculture_farms (id, name) VALUES (1, 'Farm A'), (2, 'Farm B'); CREATE TABLE fish_biomass (id INT, farm_id INT, species VARCHAR(255), biomass DECIMAL(5,2)); INSERT INTO fish_biomass (id, farm_id, species, biomass) VALUES (1, 1, 'Tilapia', 120.5),... | What is the total biomass of fish in farm B? | SELECT SUM(biomass) FROM fish_biomass WHERE farm_id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Production (WellID INT, GasQuantity INT, OilQuantity INT); | Update 'Production' table and set 'OilQuantity' to null if it's less than 500 | UPDATE Production SET OilQuantity = NULL WHERE OilQuantity < 500; | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_taxis (id INT, taxi_id INT, trip_start_time TIMESTAMP, trip_end_time TIMESTAMP, trip_distance FLOAT); INSERT INTO autonomous_taxis (id, taxi_id, trip_start_time, trip_end_time, trip_distance) VALUES (1, 111, '2022-01-01 08:00:00', '2022-01-01 08:30:00', 12.5), (2, 222, '2022-01-01 09:00:00', '20... | What is the daily trip distance of autonomous taxis in London, ranked by distance? | SELECT taxi_id, trip_distance FROM autonomous_taxis WHERE DATE(trip_start_time) = '2022-01-01' ORDER BY trip_distance DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE international_visitors (id INT, name VARCHAR, country VARCHAR, arrival_date DATE); INSERT INTO international_visitors (id, name, country, arrival_date) VALUES (1, 'James Smith', 'USA', '2022-03-01'); | How many international visitors arrived in Antarctica in the last 6 months? | SELECT COUNT(*) FROM international_visitors WHERE country = 'Antarctica' AND arrival_date >= DATEADD(month, -6, CURRENT_DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (project_id INT, project_name VARCHAR(50), state VARCHAR(50), start_year INT, end_year INT, cost INT); | What is the average cost of road construction projects in New York that were completed between 2010 and 2015? | SELECT AVG(projects.cost) FROM projects WHERE projects.state = 'New York' AND projects.start_year BETWEEN 2010 AND 2015 AND projects.end_year BETWEEN 2010 AND 2015; | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_driving_research (project_name VARCHAR(100), start_date DATE, end_date DATE); | List all autonomous driving research projects and their respective end dates | SELECT * FROM autonomous_driving_research; | gretelai_synthetic_text_to_sql |
CREATE TABLE crop (id INT, type VARCHAR(20), area FLOAT); INSERT INTO crop (id, type, area) VALUES (1, 'Corn', 1234.56), (2, 'Soybean', 2345.67), (3, 'Wheat', 3456.78); | What is the total area of each crop type? | SELECT type, SUM(area) AS total_area FROM crop GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinical_trials (drug_name TEXT, region TEXT, cost FLOAT); INSERT INTO clinical_trials (drug_name, region, cost) VALUES ('DrugX', 'Southeast Asia', 1200000), ('DrugY', 'North America', 1500000), ('DrugX', 'Europe', 1800000); | What are the total clinical trial costs for drug 'DrugX' in the Southeast Asia region? | SELECT SUM(cost) AS total_cost FROM clinical_trials WHERE drug_name = 'DrugX' AND region = 'Southeast Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PollutionControl (id INT, initiative VARCHAR(50), region VARCHAR(20)); INSERT INTO PollutionControl (id, initiative, region) VALUES (1, 'Ocean Cleanup', 'Arctic'), (2, 'Plastic Reduction', 'Atlantic'), (3, 'Carbon Capture', 'Global'); | List the total number of pollution control initiatives implemented in each region. | SELECT region, COUNT(*) as total_initiatives FROM PollutionControl GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArtWorks (ID INT PRIMARY KEY, Title TEXT, Artist TEXT, Year INT); | Show the number of artworks by each artist | SELECT Artist, COUNT(*) FROM ArtWorks GROUP BY Artist; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_safety_incidents (incident_id INT, severity_level VARCHAR(20), ai_application_area VARCHAR(50)); | Provide the number of AI safety incidents grouped by their severity level and AI application area. | SELECT severity_level, ai_application_area, COUNT(*) FROM ai_safety_incidents GROUP BY severity_level, ai_application_area; | gretelai_synthetic_text_to_sql |
CREATE TABLE patents (inventor_name VARCHAR(50), inventor_gender VARCHAR(50), patent_name VARCHAR(50), technology_accessibility INTEGER); | Find the average number of accessible technology patents per inventor in 'patents' table. | SELECT AVG(technology_accessibility) FROM patents GROUP BY inventor_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholders (id INT, name TEXT, age INT, gender TEXT, state TEXT); INSERT INTO policyholders (id, name, age, gender, state) VALUES (1, 'John Doe', 35, 'Male', 'California'); INSERT INTO policyholders (id, name, age, gender, state) VALUES (2, 'Jane Smith', 42, 'Female', 'California'); | Update policyholder 'John Doe's age to 36. | UPDATE policyholders SET age = 36 WHERE name = 'John Doe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE FlightLogs (flight_id INT, aircraft_model VARCHAR(50), flight_year INT, flight_speed FLOAT); INSERT INTO FlightLogs (flight_id, aircraft_model, flight_year, flight_speed) VALUES (1, 'B747', 2022, 850.0), (2, 'A320', 2021, 800.0), (3, 'B747', 2022, 900.0); | What is the number of flights per year for each aircraft model in the FlightLogs table? | SELECT aircraft_model, flight_year, COUNT(*) AS flights_per_year FROM FlightLogs GROUP BY aircraft_model, flight_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE drug_approval (drug VARCHAR(255), approval_date DATE); INSERT INTO drug_approval (drug, approval_date) VALUES ('DrugC', '2021-06-15'), ('DrugD', '2022-08-30'); | What is the approval date for DrugC? | SELECT approval_date FROM drug_approval WHERE drug = 'DrugC'; | gretelai_synthetic_text_to_sql |
CREATE TABLE oil_field (id INT PRIMARY KEY, name TEXT, operator TEXT, region TEXT); | Delete all records in the 'oil_field' table where the 'operator' is 'Zeta Inc.' and the 'region' is 'Africa' | DELETE FROM oil_field WHERE operator = 'Zeta Inc.' AND region = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (port_id INT, port_name TEXT, region TEXT); INSERT INTO ports VALUES (1, 'Port A', 'Asia Pacific'), (2, 'Port B', 'Americas'); CREATE TABLE cargo (cargo_id INT, port_id INT, cargo_quantity INT); INSERT INTO cargo VALUES (1, 1, 500), (2, 1, 700), (3, 2, 600); | What is the total quantity of cargo handled by ports in the Asia Pacific region? | SELECT SUM(cargo_quantity) FROM cargo INNER JOIN ports ON cargo.port_id = ports.port_id WHERE ports.region = 'Asia Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE humanitarian_aid (disaster_id INT, country_name VARCHAR(50), aid_amount INT, aid_date DATE); | Insert new humanitarian aid records for disaster_id 304, 305, and 306, country_name 'Syria', 'Yemen', and 'Myanmar', aid_amount 80000, 90000, and 70000, and aid_date '2021-12-31', '2022-01-01', and '2022-01-02' respectively | INSERT INTO humanitarian_aid (disaster_id, country_name, aid_amount, aid_date) VALUES (304, 'Syria', 80000, '2021-12-31'), (305, 'Yemen', 90000, '2022-01-01'), (306, 'Myanmar', 70000, '2022-01-02'); | gretelai_synthetic_text_to_sql |
CREATE TABLE clinical_trial_data (clinical_trial_id VARCHAR(255), drug_name VARCHAR(255), primary_investigator VARCHAR(255), start_date DATE, end_date DATE); | Update the primary investigator for clinical trial 'Trial123' in the 'clinical_trial_data' table. | UPDATE clinical_trial_data SET primary_investigator = 'New PI' WHERE clinical_trial_id = 'Trial123'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Orders (OrderID INT, CustomerID VARCHAR(20), OrderDate DATE); INSERT INTO Orders (OrderID, CustomerID, OrderDate) VALUES (1, 'X', '2022-01-01'), (2, 'X', '2022-01-05'), (3, 'X', '2022-01-10'); | What is the average time (in days) between order placements for 'CustomerX'? | SELECT AVG(DATEDIFF(dd, LAG(Orders.OrderDate) OVER (PARTITION BY Orders.CustomerID ORDER BY Orders.OrderDate), Orders.OrderDate)) AS AverageTimeBetweenOrders FROM Orders WHERE Orders.CustomerID = 'X'; | gretelai_synthetic_text_to_sql |
CREATE TABLE imports (id INT, product TEXT, revenue FLOAT, is_fair_trade BOOLEAN, country TEXT); INSERT INTO imports (id, product, revenue, is_fair_trade, country) VALUES (1, 'Coffee', 500.0, true, 'Spain'); INSERT INTO imports (id, product, revenue, is_fair_trade, country) VALUES (2, 'Chocolate', 700.0, false, 'Spain'... | What is the total revenue of all fair trade products imported to Spain? | SELECT SUM(revenue) FROM imports WHERE is_fair_trade = true AND country = 'Spain'; | gretelai_synthetic_text_to_sql |
CREATE TABLE country (id INT, name VARCHAR(255)); CREATE TABLE pollution (id INT, country VARCHAR(255), index INT); INSERT INTO country (id, name) VALUES (1, 'Canada'); INSERT INTO country (id, name) VALUES (2, 'Mexico'); INSERT INTO pollution (id, country, index) VALUES (1, 'Canada', 45); INSERT INTO polluti... | List all the countries with their corresponding marine pollution index | SELECT country.name, pollution.index FROM country INNER JOIN pollution ON country.name = pollution.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE songs (id INT, name VARCHAR(255), genre VARCHAR(255)); | What is the total number of songs in the R&B genre? | SELECT COUNT(*) as total_songs FROM songs WHERE genre = 'R&B'; | gretelai_synthetic_text_to_sql |
CREATE TABLE packages (id INT, shipped_date DATE); INSERT INTO packages (id, shipped_date) VALUES (1, '2022-01-01'), (2, '2022-01-15'); | What is the total number of packages shipped to Australia in the last month? | SELECT COUNT(*) FROM packages WHERE shipped_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) AND destination = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE social_media (user_id INT, post_id INT); | What is the minimum number of posts made by a user who has made at least one post in the 'social_media' table? | SELECT MIN(COUNT(*)) FROM social_media GROUP BY user_id HAVING COUNT(*) > 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE City (CityName VARCHAR(50), Country VARCHAR(50), Population INT, Continent VARCHAR(50)); INSERT INTO City (CityName, Country, Population, Continent) VALUES ('Cairo', 'Egypt', 20500000, 'Africa'), ('Lagos', 'Nigeria', 21000000, 'Africa'); | Which is the most populated city in Africa? | SELECT CityName, Population FROM City WHERE Continent = 'Africa' ORDER BY Population DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, name VARCHAR(50), region VARCHAR(50)); INSERT INTO customers (customer_id, name, region) VALUES (1, 'John Doe', 'Southeast'), (2, 'Jane Smith', 'Northeast'); CREATE TABLE sales (sale_id INT, customer_id INT, revenue DECIMAL(10, 2)); INSERT INTO sales (sale_id, customer_id, reven... | What is the total revenue for all customers in the Southeast region? | SELECT SUM(sales.revenue) FROM sales JOIN customers ON sales.customer_id = customers.customer_id WHERE customers.region = 'Southeast'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (id INT, donor_type VARCHAR(10), donation_amount DECIMAL(10,2), donation_date DATE); INSERT INTO Donations (id, donor_type, donation_amount, donation_date) VALUES (1, 'one-time', 50.00, '2022-01-01'); INSERT INTO Donations (id, donor_type, donation_amount, donation_date) VALUES (2, 'recurring', 2... | What is the average donation amount for one-time donors in the 'q1' quarter? | SELECT AVG(donation_amount) FROM Donations WHERE donor_type = 'one-time' AND QUARTER(donation_date) = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE daily_mine_gold_production (mine_id INT, production_date DATE, gold_production FLOAT); INSERT INTO daily_mine_gold_production (mine_id, production_date, gold_production) VALUES (1, '2021-01-01', 100), (1, '2021-01-02', 110), (1, '2021-01-03', 140), (1, '2021-01-04', 150), (2, '2021-01-01', 140), (2, '2021-... | Identify mines with a significant increase in gold production compared to the previous day. | SELECT mine_id, production_date, gold_production, LAG(gold_production) OVER (PARTITION BY mine_id ORDER BY production_date) as prev_day_production, gold_production - LAG(gold_production) OVER (PARTITION BY mine_id ORDER BY production_date) as production_change FROM daily_mine_gold_production WHERE gold_production > 1.2... | gretelai_synthetic_text_to_sql |
CREATE TABLE WasteReductionFactories (id INT, country VARCHAR(50), num_factories INT); | What is the total number of factories that have implemented waste reduction initiatives, by country? | SELECT country, SUM(num_factories) as total_factories FROM WasteReductionFactories GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE department_employees (id INT, department VARCHAR(255), gender VARCHAR(6), employment_status VARCHAR(255), count INT); | Calculate the total number of employees in each department, excluding contractors | SELECT department, SUM(count) as total_employees FROM department_employees WHERE employment_status != 'Contractor' GROUP BY department; | gretelai_synthetic_text_to_sql |
CREATE TABLE co2_emission (garment_type VARCHAR(20), country VARCHAR(20), year INT, co2_emission FLOAT); INSERT INTO co2_emission (garment_type, country, year, co2_emission) VALUES ('jeans', 'Italy', 2020, 15.5), ('jeans', 'China', 2020, 25.2), ('jeans', 'India', 2020, 18.8); | What was the average CO2 emission for jean production by country in 2020? | SELECT AVG(co2_emission) FROM co2_emission WHERE garment_type = 'jeans' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (article_id INT, author VARCHAR(50), title VARCHAR(100), category VARCHAR(50), publication_date DATE, author_country VARCHAR(50)); | What is the total number of articles published per day for a journalist from India? | SELECT publication_date, COUNT(article_id) AS articles_per_day FROM articles WHERE author_country = 'India' GROUP BY publication_date ORDER BY publication_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, customer_id INT, amount DECIMAL(10, 2)); INSERT INTO transactions (transaction_id, customer_id, amount) VALUES (1, 1, 50.00), (2, 1, 100.00), (3, 2, 75.00), (4, 3, 1200.00); CREATE TABLE customers (customer_id INT, name VARCHAR(50), region VARCHAR(50)); INSERT INTO custome... | How many customers have made transactions over $1000 in total? | SELECT COUNT(DISTINCT c.customer_id) FROM transactions t JOIN customers c ON t.customer_id = c.customer_id WHERE t.amount > 1000.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (id INT, name VARCHAR(50), year INT, location VARCHAR(50), type VARCHAR(20)); INSERT INTO events (id, name, year, location, type) VALUES (1, 'Event1', 2015, 'Paris', 'Art'), (2, 'Event2', 2016, 'London', 'Music'), (3, 'Event3', 2017, 'Beijing', 'Theater'), (4, 'Event4', 2018, 'Tokyo', 'Art'); | List all events and their attendance numbers, sorted by the event type and year, for events held in Europe and Asia. | SELECT type, year, COUNT(*) as attendance_count FROM events WHERE location IN ('Europe', 'Asia') GROUP BY type, year ORDER BY type, year; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_customers (customer_id INT, data_usage FLOAT, city VARCHAR(20), plan_type VARCHAR(10), device_type VARCHAR(10)); | What is the average data usage per mobile customer in the city of Chicago, split by postpaid and prepaid plans and by device type? | SELECT plan_type, device_type, AVG(data_usage) FROM mobile_customers WHERE city = 'Chicago' GROUP BY plan_type, device_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_policing (id INT, city VARCHAR(20), state VARCHAR(20), year INT, events INT); | What is the number of community policing events held in the state of New York, grouped by city? | SELECT city, COUNT(*) FROM community_policing WHERE state = 'New York' GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE State (state_id INT, state_name VARCHAR(50)); CREATE TABLE Project (project_id INT, project_name VARCHAR(50), project_capacity INT, state_id INT); | What is the minimum capacity of renewable energy projects in a given state? | SELECT State.state_name, MIN(Project.project_capacity) as min_capacity FROM State JOIN Project ON State.state_id = Project.state_id GROUP BY State.state_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE legal_clinics (clinic_id INT, location VARCHAR(20), state VARCHAR(20)); INSERT INTO legal_clinics (clinic_id, location, state) VALUES (1, 'Rural', 'Illinois'), (2, 'Urban', 'Illinois'), (3, 'Rural', 'Michigan'); | How many legal aid clinics are there in rural areas of Illinois and Michigan? | SELECT COUNT(*) FROM legal_clinics WHERE state IN ('Illinois', 'Michigan') AND location = 'Rural'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_life_research_stations (id INT, name VARCHAR(255), region VARCHAR(255)); CREATE TABLE pollution_control_initiatives (id INT, name VARCHAR(255), region VARCHAR(255)); | How many marine life research stations and pollution control initiatives are there in total? | SELECT SUM(cnt) FROM (SELECT COUNT(*) cnt FROM marine_life_research_stations UNION ALL SELECT COUNT(*) FROM pollution_control_initiatives) x; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_centers (id INT, name TEXT, location TEXT, rating INT); INSERT INTO community_health_centers (id, name, location, rating) VALUES (1, 'Community Health Center 1', 'urban', 5), (2, 'Community Health Center 2', 'rural', 3), (3, 'Community Health Center 3', 'urban', 4); | What is the number of community health centers in urban areas with a rating of 4 or higher? | SELECT COUNT(*) FROM community_health_centers WHERE location = 'urban' AND rating >= 4; | gretelai_synthetic_text_to_sql |
CREATE TABLE TrackRevenue (TrackID INT, Revenue DECIMAL(10,2)); INSERT INTO TrackRevenue (TrackID, Revenue) VALUES (1, 1.25), (2, 1.50), (3, 0.99), (4, 2.00); | What is the total revenue for each track? | SELECT TrackID, Revenue, ROW_NUMBER() OVER (ORDER BY Revenue DESC) AS 'Revenue Rank' FROM TrackRevenue; | gretelai_synthetic_text_to_sql |
CREATE TABLE project (id INT, name TEXT, location TEXT, carbon_offset INT); INSERT INTO project (id, name, location, carbon_offset) VALUES (1, 'Solar Farm', 'South America', 5000); | What is the average carbon offsetting per project in South America? | SELECT AVG(carbon_offset) FROM project WHERE location = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Instructors (Id INT, Name VARCHAR(50), Department VARCHAR(50), YearsOfExperience INT); INSERT INTO Instructors (Id, Name, Department, YearsOfExperience) VALUES (1, 'Maria Garcia', 'Physical Therapy', 12); | What is the average number of years of experience for instructors in the 'Physical Therapy' department? | SELECT AVG(YearsOfExperience) AS AvgYearsOfExperience FROM Instructors WHERE Department = 'Physical Therapy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE co2_emissions (country VARCHAR(20), sector VARCHAR(20), emissions FLOAT); INSERT INTO co2_emissions (country, sector, emissions) VALUES ('Germany', 'transportation', 200.0), ('France', 'transportation', 150.0), ('Germany', 'transportation', 220.0); | What is the total CO2 emissions of the transportation sector in each European country? | SELECT country, SUM(emissions) FROM co2_emissions WHERE sector = 'transportation' GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, country VARCHAR(30), ESG_score FLOAT); INSERT INTO companies (id, country, ESG_score) VALUES (1, 'UK', 71.5), (2, 'UK', 82.3), (3, 'UK', 75.6), (4, 'France', 79.9); | What's the maximum and minimum ESG score of companies based in the UK? | SELECT MAX(ESG_score), MIN(ESG_score) FROM companies WHERE country = 'UK'; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, transaction_date DATE, is_fraud BOOLEAN); INSERT INTO transactions (transaction_id, transaction_date, is_fraud) VALUES (1, '2022-02-01', FALSE), (2, '2022-02-01', TRUE), (3, '2022-02-02', FALSE); | What is the percentage of fraudulent transactions for each day in February 2022? | SELECT transaction_date, 100.0 * SUM(CASE WHEN is_fraud THEN 1 ELSE 0 END) / COUNT(*) as fraud_percentage FROM transactions WHERE transaction_date >= '2022-02-01' AND transaction_date < '2022-03-01' GROUP BY transaction_date ORDER BY transaction_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_test_data (id INT, make VARCHAR(20), model VARCHAR(20), range DECIMAL(5,2)); INSERT INTO vehicle_test_data (id, make, model, range) VALUES (1, 'Tesla', 'Model 3', 322.3), (2, 'Ford', 'Mustang Mach-E', 230.8), (3, 'Chevrolet', 'Bolt', 259.0), (4, 'Tesla', 'Model S', 373.1), (5, 'Ford', 'F-150 Lightn... | What is the maximum range of electric vehicles in the vehicle_test_data table for each make and model? | SELECT make, model, MAX(range) FROM vehicle_test_data GROUP BY make, model; | gretelai_synthetic_text_to_sql |
CREATE TABLE GreenBuildingMaterials (MaterialID INT, MaterialName VARCHAR(50));CREATE TABLE GreenBuildingMaterialsUsage (UsageID INT, MaterialID INT, CityID INT); | List all green building materials and the number of each material used in a specific city. | SELECT GreenBuildingMaterials.MaterialName, COUNT(GreenBuildingMaterialsUsage.UsageID) FROM GreenBuildingMaterials INNER JOIN GreenBuildingMaterialsUsage ON GreenBuildingMaterials.MaterialID = GreenBuildingMaterialsUsage.MaterialID WHERE GreenBuildingMaterialsUsage.CityID = 1 GROUP BY GreenBuildingMaterials.MaterialNam... | gretelai_synthetic_text_to_sql |
CREATE VIEW OceanCurrents AS SELECT * FROM Currents WHERE Type = 'Ocean'; | Delete the "OceanCurrents" view | DROP VIEW OceanCurrents; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name VARCHAR(255), esg_score DECIMAL(3,2), sector VARCHAR(255)); | What is the percentage of companies in the 'Healthcare' sector with an ESG score below 60? | SELECT (COUNT(*) FILTER (WHERE esg_score < 60)) * 100.0 / COUNT(*) AS percentage FROM companies WHERE sector = 'Healthcare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE births (id INT, state TEXT, year INT, num_births INT); INSERT INTO births (id, state, year, num_births) VALUES (1, 'Texas', 2020, 400000), (2, 'Texas', 2019, 390000), (3, 'California', 2020, 500000); | What is the total number of births in the state of Texas in the year 2020? | SELECT SUM(num_births) FROM births WHERE state = 'Texas' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE games(id INT, name VARCHAR(50), genre VARCHAR(50), revenue FLOAT); CREATE TABLE transactions(id INT, game_id INT, transaction_date DATE, amount FLOAT, status VARCHAR(50)); | Show the total revenue for each game genre in the last quarter, excluding canceled transactions, grouped by genre. | SELECT genres.genre, SUM(transactions.amount) as total_revenue FROM games JOIN transactions ON games.name = transactions.game_id JOIN (SELECT DISTINCT game_name, genre FROM games) genres ON games.genre = genres.genre WHERE transactions.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) AND transactions.status... | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT, name TEXT, location TEXT, type TEXT); INSERT INTO hospitals (id, name, location, type) VALUES (1, 'Hospital A', 'City A', 'General'); INSERT INTO hospitals (id, name, location, type) VALUES (2, 'Hospital B', 'City B', 'Pediatric'); CREATE TABLE clinics (id INT, name TEXT, location TEXT, ... | What is the total number of facilities in City A? | SELECT type FROM hospitals WHERE location = 'City A' UNION SELECT type FROM clinics WHERE location = 'City A' UNION SELECT type FROM long_term_care WHERE location = 'City A'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID INT, DonationAmount DECIMAL(10,2), DonationDate DATE, ProgramID INT); INSERT INTO Donations (DonationID, DonationAmount, DonationDate, ProgramID) VALUES (1, 500.00, '2022-01-05', 1); INSERT INTO Donations (DonationID, DonationAmount, DonationDate, ProgramID) VALUES (2, 300.00, '2022-0... | What was the average donation amount for each program type in 2022? | SELECT ProgramType, AVG(DonationAmount) as AverageDonation FROM Donations INNER JOIN Programs ON Donations.ProgramID = Programs.ProgramID GROUP BY ProgramType; | gretelai_synthetic_text_to_sql |
CREATE TABLE Product_Safety_Records (id INT, product_id INT, inspection_date DATE, result VARCHAR(255)); CREATE TABLE Recalls (id INT, product_id INT, recall_date DATE, reason VARCHAR(255), country VARCHAR(255)); | How many products have been recalled in each country for safety reasons, in the last year? | SELECT r.country, COUNT(DISTINCT r.id) as number_of_recalls FROM Recalls r JOIN Product_Safety_Records psr ON r.product_id = psr.product_id WHERE r.recall_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY r.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE medical_camps (id INT PRIMARY KEY, location VARCHAR(50), year INT, number INT); INSERT INTO medical_camps (id, location, year, number) VALUES (1, 'Africa', 2018, 10), (2, 'Asia', 2018, 15), (3, 'Africa', 2019, 12), (4, 'Asia', 2019, 20), (5, 'Africa', 2020, 14), (6, 'Asia', 2020, 25); | How many medical camps were organized in Asia in 2019 and 2020? | SELECT SUM(number) FROM medical_camps WHERE location = 'Asia' AND year IN (2019, 2020); | gretelai_synthetic_text_to_sql |
CREATE TABLE Products (product_id INT, product_name VARCHAR(100), eco_friendly BOOLEAN, rating FLOAT); INSERT INTO Products (product_id, product_name, eco_friendly, rating) VALUES (1, 'Lipstick A', FALSE, 4.2), (2, 'Lipstick B', TRUE, 3.9), (3, 'Lipstick C', FALSE, 4.5); | Which beauty products are not eco-friendly and not rated above 4.0? | SELECT product_name FROM Products WHERE eco_friendly = FALSE AND rating <= 4.0; | gretelai_synthetic_text_to_sql |
CREATE TABLE medical_supplies (id INT, quantity INT, country TEXT, quarter INT, year INT); INSERT INTO medical_supplies (id, quantity, country, quarter, year) VALUES (1, 500, 'Colombia', 1, 2022), (2, 700, 'Colombia', 2, 2022), (3, 600, 'Colombia', 3, 2022), (4, 800, 'Colombia', 4, 2022); | How many medical supplies were delivered to Colombia in Q1 2022? | SELECT SUM(quantity) FROM medical_supplies WHERE country = 'Colombia' AND quarter = 1 AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE trends (year INT, market_trend VARCHAR(255)); INSERT INTO trends (year, market_trend) VALUES (2018, 'Increase'), (2019, 'Decrease'), (2020, 'Increase'), (2021, 'Stable'), (2022, 'Increase'); | List REE market trends for each year since 2018? | SELECT year, market_trend FROM trends; | gretelai_synthetic_text_to_sql |
CREATE TABLE WorkerSalaries (WorkerID int, Name varchar(50), State varchar(25), Salary decimal(10,2)); INSERT INTO WorkerSalaries (WorkerID, Name, State, Salary) VALUES (7, 'John Doe', 'NY', 60000.00), (8, 'Jane Smith', 'CA', 70000.00), (9, 'Mike Johnson', 'TX', 65000.00); | What is the maximum salary of construction workers per state? | SELECT State, MAX(Salary) AS MaxSalary FROM WorkerSalaries GROUP BY State; | gretelai_synthetic_text_to_sql |
CREATE TABLE authors (id INT PRIMARY KEY, name TEXT, country TEXT); CREATE TABLE articles (id INT PRIMARY KEY, title TEXT, author_id INT); INSERT INTO authors (id, name, country) VALUES (1, 'John Doe', 'USA'), (2, 'Jane Smith', 'Canada'), (3, 'Maria Garcia', 'Mexico'); INSERT INTO articles (id, title, author_id) VALUES... | Count the number of articles written by each author, grouped by author country. | SELECT au.country, COUNT(a.id) FROM articles a JOIN authors au ON a.author_id = au.id GROUP BY au.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE trends (id INT PRIMARY KEY, trend_name VARCHAR(50)); | Insert a new fashion trend 'Color Blocking' into the 'trends' table | INSERT INTO trends (id, trend_name) VALUES (1, 'Color Blocking'); | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists salaries5 (id INT, industry TEXT, region TEXT, salary REAL);INSERT INTO salaries5 (id, industry, region, salary) VALUES (1, 'manufacturing', 'east', 60000), (2, 'retail', 'west', 50000); | What is the maximum salary in the 'manufacturing' industry? | SELECT MAX(salary) FROM salaries5 WHERE industry = 'manufacturing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE researchers (researcher_id INT PRIMARY KEY, researcher_name TEXT); CREATE TABLE publications (publication_id INT PRIMARY KEY, researcher_id INT, title TEXT, topic TEXT); INSERT INTO researchers (researcher_id, researcher_name) VALUES (1, 'Dr. Jane Smith'); INSERT INTO publications (publication_id, research... | display the names of researchers who published more than 10 articles on climate change | SELECT r.researcher_name FROM researchers r INNER JOIN publications p ON r.researcher_id = p.researcher_id WHERE p.topic = 'climate change' GROUP BY r.researcher_id HAVING COUNT(p.publication_id) > 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE tech_for_good (tool_name VARCHAR(255), country VARCHAR(255), date DATE, effectiveness_score INT); INSERT INTO tech_for_good (tool_name, country, date, effectiveness_score) VALUES ('EcoTech', 'Brazil', '2022-04-01', 5), ('GreenTech', 'Argentina', '2022-05-01', 4), ('Tech4Good', 'Colombia', '2022-06-01', 6); | Update the "country" to 'Germany' for the record in the "tech_for_good" table where the "tool_name" is 'GreenTech' | UPDATE tech_for_good SET country = 'Germany' WHERE tool_name = 'GreenTech'; | gretelai_synthetic_text_to_sql |
CREATE TABLE pollution_changes (id INT, region TEXT, year INT, level FLOAT); INSERT INTO pollution_changes (id, region, year, level) VALUES (1, 'Atlantic', 2020, 8.4), (2, 'Pacific', 2020, 9.1), (3, 'Indian', 2020, 7.7); | What is the change in pollution level between consecutive years for each ocean region? | SELECT region, EXTRACT(YEAR FROM incident_date) AS year, LAG(level) OVER (PARTITION BY region ORDER BY year) - level AS change FROM pollution_changes, (SELECT GENERATE_SERIES(2019, 2022, 1) AS incident_date) AS seq WHERE seq.incident_date = pollution_changes.year; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (artwork_id INT, title TEXT, creation_year INT); INSERT INTO Artworks (artwork_id, title, creation_year) VALUES (1, 'The Hay Wain', 1821), (2, 'The Fighting Temeraire', 1839); | What are the titles and creation years of all artworks with 'landscape' in the title and created before 1900? | SELECT title, creation_year FROM Artworks WHERE title LIKE '%landscape%' AND creation_year < 1900; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity (company_id INT, founder_disability TEXT); INSERT INTO diversity (company_id, founder_disability) VALUES (1, 'Hearing Impairment'); INSERT INTO diversity (company_id, founder_disability) VALUES (2, 'Mental Health Condition'); | Count the number of startups founded by persons with disabilities each year | SELECT founding_year, COUNT(*) FROM company c INNER JOIN diversity d ON c.id = d.company_id WHERE founder_disability IS NOT NULL GROUP BY founding_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle_routes (vehicle_id INT, route_id INT, date DATE); INSERT INTO vehicle_routes (vehicle_id, route_id, date) VALUES (101, 101, '2022-01-01'), (102, 101, '2022-01-02'), (103, 102, '2022-01-01'), (104, 102, '2022-01-02'), (105, 103, '2022-01-01'), (106, 103, '2022-01-02'); | How many unique vehicles have been used in each route over the last 30 days? | SELECT route_id, COUNT(DISTINCT vehicle_id) FROM vehicle_routes WHERE date >= CURDATE() - INTERVAL 30 DAY GROUP BY route_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, dish_id INT, date DATE, quantity INT, price DECIMAL(5,2));CREATE VIEW dishes_view AS SELECT d.id, d.name, c.category FROM dishes d JOIN categories c ON d.category_id = c.id; | What is the total revenue for each category of dishes in Australia? | SELECT c.category, SUM(s.quantity * s.price) AS total_revenue FROM sales s JOIN dishes_view d ON s.dish_id = d.id JOIN categories c ON d.category = c.id WHERE c.country = 'Australia' GROUP BY c.category; | gretelai_synthetic_text_to_sql |
CREATE TABLE engineers (id INT, name VARCHAR(50), specialty VARCHAR(50), location VARCHAR(50), years_of_experience INT); | Identify bioprocess engineers with more than 5 years of experience. | SELECT name FROM engineers WHERE specialty = 'bioprocess' AND years_of_experience > 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (event_name TEXT, year INT, revenue INT); INSERT INTO Events (event_name, year, revenue) VALUES ('Theater Performance', 2020, 10000), ('Theater Performance', 2021, 12000); | What is the total revenue generated by theater performances in the past two years? | SELECT SUM(revenue) FROM Events WHERE event_name = 'Theater Performance' AND year IN (2020, 2021); | gretelai_synthetic_text_to_sql |
CREATE TABLE Sites (SiteID int, SiteName text, Location text); CREATE TABLE Artifacts (ArtifactID int, ArtifactName text, SiteID int, Material text); | Which excavation sites in Egypt have yielded gold artifacts? | SELECT Sites.SiteName FROM Sites INNER JOIN Artifacts ON Sites.SiteID = Artifacts.SiteID WHERE Material = 'Gold'; | gretelai_synthetic_text_to_sql |
CREATE TABLE soldiers_discharge_data (soldier_id INT, name VARCHAR(50), rank VARCHAR(50), discharge_type VARCHAR(50), discharge_date DATE); | Delete records of soldiers who were dismissed for misconduct from the soldiers_discharge_data table | DELETE FROM soldiers_discharge_data WHERE discharge_type = 'misconduct'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Members (MemberID INT, Gender VARCHAR(10), MembershipType VARCHAR(20), MembershipFee DECIMAL(5,2)); INSERT INTO Members (MemberID, Gender, MembershipType, MembershipFee) VALUES (1, 'Male', 'Premium', 50.00), (2, 'Female', 'Basic', 30.00), (3, 'Non-binary', 'Premium', 50.00); | What is the total revenue generated from memberships by gender? | SELECT Gender, SUM(MembershipFee) AS TotalRevenue FROM Members GROUP BY Gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_debris (id INT, name VARCHAR(50), type VARCHAR(50), country VARCHAR(50), launch_date DATE); | Find the number of satellites in the space_debris table, grouped by country order by the count in descending order | SELECT country, COUNT(*) as satellite_count FROM space_debris GROUP BY country ORDER BY satellite_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, product_id INT, quantity INT, sale_date DATE, is_fair_trade BOOLEAN); INSERT INTO sales (sale_id, product_id, quantity, sale_date, is_fair_trade) VALUES (1, 1, 20, '2021-01-01', true); CREATE TABLE products (product_id INT, product_name VARCHAR(255)); INSERT INTO products (product_id, p... | What is the total quantity of fair trade products, pivoted by quarter? | SELECT EXTRACT(QUARTER FROM sale_date) AS quarter, is_fair_trade, SUM(quantity) AS total_quantity FROM sales JOIN products ON sales.product_id = products.product_id WHERE is_fair_trade = true GROUP BY quarter, is_fair_trade; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (year INT, region TEXT, plastic_rate FLOAT, paper_rate FLOAT); INSERT INTO recycling_rates (year, region, plastic_rate, paper_rate) VALUES (2018, 'Asia', 0.35, 0.60), (2018, 'Europe', NULL, 0.75); | Update the plastic recycling rate for Europe in 2018 to 0.62. | UPDATE recycling_rates SET plastic_rate = 0.62 WHERE year = 2018 AND region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Neighborhood (neighborhood_id INT, neighborhood_name VARCHAR(50)); CREATE TABLE Building (building_id INT, building_name VARCHAR(50), building_type VARCHAR(50), carbon_offset INT, neighborhood_id INT); | What is the total carbon offset of buildings in a given neighborhood? | SELECT SUM(Building.carbon_offset) as total_carbon_offset FROM Building JOIN Neighborhood ON Building.neighborhood_id = Neighborhood.neighborhood_id WHERE Neighborhood.neighborhood_name = 'NeighborhoodName'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA developed_markets; CREATE TABLE developed_markets.digital_assets (asset_name VARCHAR(10), daily_transaction_volume BIGINT); INSERT INTO developed_markets.digital_assets (asset_name, daily_transaction_volume) VALUES ('AssetG', 12000000), ('AssetH', 11000000), ('AssetI', 10000000), ('AssetJ', 9000000), ('As... | What is the maximum daily transaction volume for any digital asset in the 'developed_markets' schema? | SELECT MAX(daily_transaction_volume) FROM developed_markets.digital_assets; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (id INT, first_name VARCHAR(50), last_name VARCHAR(50), dob DATE, gender VARCHAR(10), address VARCHAR(255), city VARCHAR(50), state VARCHAR(50), zip_code VARCHAR(10)); INSERT INTO Policyholders (id, first_name, last_name, dob, gender, address, city, state, zip_code) VALUES (1003, 'Mike', 'Joh... | Find the average age of male policyholders. | SELECT id, first_name, last_name, DATEDIFF(CURDATE(), dob)/365.25 AS age, gender FROM Policyholders WHERE gender = 'Male'; | gretelai_synthetic_text_to_sql |
CREATE TABLE labor_unions (id INT, union_name VARCHAR(50), members INT); CREATE TABLE employees (id INT, union_id INT, name VARCHAR(50), position VARCHAR(50)); | Display the number of employees and their positions in the 'employees' table for unions with names starting with 'A' | SELECT e.name, e.position FROM employees e JOIN labor_unions l ON e.union_id = l.id WHERE l.union_name LIKE 'A%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE underwater_trenches (trench_name TEXT, max_depth_m INT); INSERT INTO underwater_trenches (trench_name, max_depth_m) VALUES ('Mariana Trench', 10994), ('Tonga Trench', 10882), ('Kermadec Trench', 10047); | Display the names and maximum depths of all underwater trenches. | SELECT trench_name, max_depth_m FROM underwater_trenches; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, followers INT); CREATE TABLE posts (id INT, user_id INT, content TEXT, created_at DATETIME); | What is the maximum number of followers for users who have posted about veganism in the last month? | SELECT MAX(users.followers) FROM users INNER JOIN posts ON users.id = posts.user_id WHERE posts.content LIKE '%veganism%' AND posts.created_at >= DATE_SUB(NOW(), INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE recycled_polyester_garments (id INT, production_cost DECIMAL); INSERT INTO recycled_polyester_garments (id, production_cost) VALUES (1, 32.50), (2, 35.00), (3, 37.50); | Calculate the total production cost for recycled polyester garments. | SELECT SUM(production_cost) FROM recycled_polyester_garments; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_operations (id INT, name VARCHAR(50), num_employees INT, environmental_impact_score INT); | Find the mining operations that have a higher than average number of employees, and also have an environmental impact score above the average. | SELECT name FROM mining_operations WHERE num_employees > (SELECT AVG(num_employees) FROM mining_operations) AND environmental_impact_score > (SELECT AVG(environmental_impact_score) FROM mining_operations); | gretelai_synthetic_text_to_sql |
CREATE TABLE Vendors (VendorID INT, VendorName VARCHAR(50), State VARCHAR(50)); INSERT INTO Vendors (VendorID, VendorName, State) VALUES (1, 'VendorA', 'California'); CREATE TABLE Products (ProductID INT, ProductName VARCHAR(50), Price DECIMAL(5,2), IsFairTrade BOOLEAN); INSERT INTO Products (ProductID, ProductName, Pr... | What is the average price of Fair Trade certified products sold by vendors in California? | SELECT AVG(Price) FROM Products JOIN Vendors ON Products.VendorID = Vendors.VendorID WHERE Vendors.State = 'California' AND IsFairTrade = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE GameSessions (SessionID INT, PlayerID INT, SessionDate DATE); INSERT INTO GameSessions (SessionID, PlayerID, SessionDate) VALUES (1, 1, '2021-01-01'), (2, 2, '2021-06-01'), (3, 3, '2021-03-01'), (4, 5, '2021-02-01'); | Delete the records of players who have not played any games in the last 6 months. | DELETE FROM GameSessions WHERE PlayerID IN (SELECT PlayerID FROM GameSessions WHERE SessionDate < DATE_SUB(CURDATE(), INTERVAL 6 MONTH)); | gretelai_synthetic_text_to_sql |
CREATE TABLE fan_demographics (fan_id INT, age INT, ticket_type VARCHAR(10)); | Show the average age of fans who purchased VIP tickets | SELECT AVG(age) FROM fan_demographics WHERE ticket_type = 'VIP'; | gretelai_synthetic_text_to_sql |
CREATE TABLE building_permits (state TEXT, year INT, permits_issued INT); INSERT INTO building_permits (state, year, permits_issued) VALUES ('California', 2018, 1200), ('California', 2019, 1500), ('California', 2020, 1700), ('Texas', 2018, 2000), ('Texas', 2019, 2500), ('Texas', 2020, 2700); | How many building permits were issued in 'California' and 'Texas' between 2018 and 2020? | SELECT SUM(permits_issued) FROM building_permits WHERE state IN ('California', 'Texas') AND year BETWEEN 2018 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (id INT, name VARCHAR(100), field_of_study VARCHAR(50), country VARCHAR(50), continent VARCHAR(50)); INSERT INTO students VALUES (1, 'Avery Johnson', 'Physics', 'Canada', 'North America'); | What is the enrollment rate of graduate students in STEM programs per continent? | SELECT continent, COUNT(*) FROM students WHERE field_of_study IN ('Computer Science', 'Mathematics', 'Engineering', 'Physics') GROUP BY continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (id INT, region VARCHAR(50), severity INT, incident_date DATE); INSERT INTO security_incidents (id, region, severity, incident_date) VALUES (1, 'North America', 7, '2022-01-01'), (2, 'Europe', 6, '2022-01-02'), (3, 'Asia', 8, '2022-01-03'); CREATE TABLE regions (id INT, name VARCHAR(50))... | What is the average severity of security incidents in each region for the last year? | SELECT r.name, AVG(si.severity) as average_severity FROM security_incidents si JOIN regions r ON si.region = r.name WHERE si.incident_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY r.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE exits (id INT, startup_id INT, exit_date DATE, exit_type TEXT); | List all exits that happened in Q1 2018 | SELECT * FROM exits WHERE exit_date BETWEEN '2018-01-01' AND '2018-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farm_plots (id INT, farm_id INT, plot_number INT, crop VARCHAR(50), total_area FLOAT); | What is the 'total_area' planted with 'vegetables' in the 'farm_plots' table? | SELECT SUM(total_area) FROM farm_plots WHERE crop = 'vegetables'; | gretelai_synthetic_text_to_sql |
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