context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE foundations (id INT PRIMARY KEY, name VARCHAR(255), focus_area VARCHAR(255)); INSERT INTO foundations (id, name, focus_area) VALUES (1, 'Health Foundation', 'Health'); INSERT INTO foundations (id, name, focus_area) VALUES (2, 'Sustainable Development Foundation', 'Sustainable Development'); | Which foundations have granted more than $20,000 to organizations in the Health focus area? | SELECT f.name as foundation_name, g.grant_amount FROM grants g JOIN foundations f ON g.foundation_id = f.id WHERE f.focus_area = 'Health' AND g.grant_amount > 20000.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE songs (song_id INT, title TEXT, length FLOAT, genre TEXT); | What is the average length of the top 3 longest songs per genre? | SELECT AVG(length) FROM (SELECT genre, length FROM songs WHERE row_number() OVER (PARTITION BY genre ORDER BY length DESC) <= 3) subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE albums (album_id INT, album_name VARCHAR(100), release_year INT, artist_id INT, country VARCHAR(50)); CREATE TABLE artists (artist_id INT, artist_name VARCHAR(100), country VARCHAR(50)); INSERT INTO albums (album_id, album_name, release_year, artist_id, country) VALUES (1, 'AlbumA', 2010, 1, 'USA'), (2,... | How many albums were released in each country? | SELECT country, COUNT(*) FROM albums GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE shared_mobility (id INT, city TEXT, vehicle_type TEXT, fuel_type TEXT, total_vehicles INT); INSERT INTO shared_mobility (id, city, vehicle_type, fuel_type, total_vehicles) VALUES (1, 'Toronto', 'Scooter', 'Electric', 300), (2, 'Vancouver', 'Bike', 'Manual', 200), (3, 'Toronto', 'Scooter', 'Electric', 400); | How many shared electric scooters were deployed in 'Toronto' and 'Vancouver' in the shared_mobility table? | SELECT city, fuel_type, SUM(total_vehicles) as total_shared_electric_scooters FROM shared_mobility WHERE city IN ('Toronto', 'Vancouver') AND vehicle_type = 'Scooter' AND fuel_type = 'Electric' GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Age INT, Gender VARCHAR(10), Country VARCHAR(50)); INSERT INTO Players (PlayerID, Age, Gender, Country) VALUES (1, 25, 'Male', 'USA'); INSERT INTO Players (PlayerID, Age, Gender, Country) VALUES (2, 30, 'Female', 'Canada'); CREATE TABLE EsportsEvents (EventID INT, PlayerID INT); INSE... | How many players from each country played in esports events? | SELECT Players.Country, COUNT(Players.PlayerID) FROM Players INNER JOIN EsportsEvents ON Players.PlayerID = EsportsEvents.PlayerID GROUP BY Players.Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer_programs (id INT, program_name VARCHAR(50), region VARCHAR(20), volunteers_participated INT); INSERT INTO volunteer_programs (id, program_name, region, volunteers_participated) VALUES (1, 'Education for All', 'Latin America', 200), (2, 'Clean Water Access', 'Asia', 150), (3, 'Women Empowerment', ... | How many volunteers participated in community development programs in Latin America? | SELECT SUM(volunteers_participated) FROM volunteer_programs WHERE region = 'Latin America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals_au (id INT, name TEXT, cancer_treatment BOOLEAN); INSERT INTO hospitals_au VALUES (1, 'Rural Hospital A', TRUE); INSERT INTO hospitals_au VALUES (2, 'Rural Hospital B', FALSE); CREATE TABLE clinics_au (id INT, name TEXT, cancer_treatment BOOLEAN); INSERT INTO clinics_au VALUES (1, 'Rural Clinic A... | Find the number of rural hospitals and clinics that offer cancer treatment in Australia and India. | SELECT COUNT(*) FROM hospitals_au WHERE cancer_treatment = TRUE UNION SELECT COUNT(*) FROM clinics_au WHERE cancer_treatment = TRUE UNION SELECT COUNT(*) FROM hospitals_in WHERE cancer_treatment = TRUE UNION SELECT COUNT(*) FROM clinics_in WHERE cancer_treatment = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE case_filings (case_id INT, filing_date DATE, court_location VARCHAR(50)); INSERT INTO case_filings (case_id, filing_date, court_location) VALUES (1, '2020-01-01', 'Southern District of New York'), (2, '2019-02-01', 'Central District of California'), (3, '2018-03-01', 'Eastern District of Virginia'); | What is the total number of cases filed in each court location in the US in the last 10 years? | SELECT court_location, COUNT(*) FILTER (WHERE filing_date >= NOW() - INTERVAL '10 years') AS total_cases FROM case_filings GROUP BY court_location; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_offset.offset_initiatives (country VARCHAR(20), co2_reduction_tons INT); | What is the maximum CO2 emission reduction (in metric tons) achieved by carbon offset initiatives in the 'carbon_offset' schema, per country? | SELECT country, MAX(co2_reduction_tons) FROM carbon_offset.offset_initiatives GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE contract_negotiations(id INT, contract_name VARCHAR(50), region VARCHAR(20), negotiation_duration INT); | What is the average negotiation duration for contracts in the Middle East? | SELECT AVG(negotiation_duration) FROM contract_negotiations WHERE region = 'Middle East'; | gretelai_synthetic_text_to_sql |
CREATE TABLE crops (id INT, name VARCHAR(255), yield_per_hectare DECIMAL(5,2), country VARCHAR(255)); INSERT INTO crops (id, name, yield_per_hectare, country) VALUES (1, 'Corn', 5.00, 'Mexico'); | What is the average yield per hectare for corn in Mexico? | SELECT AVG(yield_per_hectare) FROM crops WHERE name = 'Corn' AND country = 'Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT, name TEXT, heart_disease_treatment BOOLEAN); INSERT INTO hospitals VALUES (1, 'Rural Hospital A', TRUE); INSERT INTO hospitals VALUES (2, 'Rural Hospital B', TRUE); CREATE TABLE clinics (id INT, name TEXT, heart_disease_treatment BOOLEAN); INSERT INTO clinics VALUES (1, 'Rural Clinic A',... | Find the number of rural hospitals and clinics that offer heart disease treatment. | SELECT COUNT(*) FROM hospitals WHERE heart_disease_treatment = TRUE UNION SELECT COUNT(*) FROM clinics WHERE heart_disease_treatment = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE personal_injury_cases (case_id INT, case_open_date DATE); | Count the number of personal injury cases opened in January 2020. | SELECT COUNT(*) FROM personal_injury_cases WHERE case_open_date BETWEEN '2020-01-01' AND '2020-01-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE country_missions (id INT, country VARCHAR(50), launch_date DATE, mission_name VARCHAR(50)); | List the number of space missions launched by each country in the last 5 years? | SELECT country, COUNT(*) AS num_missions, RANK() OVER (ORDER BY COUNT(*) DESC) AS country_rank FROM country_missions WHERE launch_date BETWEEN (CURRENT_DATE - INTERVAL 5 YEAR) AND CURRENT_DATE GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage ( date DATE, usage_category VARCHAR(20), region VARCHAR(20), usage_amount INT ); INSERT INTO water_usage (date, usage_category, region, usage_amount) VALUES ( '2022-07-01', 'Residential', 'Northeast', 15000), ('2022-07-02', 'Industrial', 'Midwest', 200000), ('2022-07-03', 'Agricultural', 'West'... | Insert a new record in the water_usage table with the following values: '2022-08-01', 'Residential', 'West', 12000 | INSERT INTO water_usage (date, usage_category, region, usage_amount) VALUES ('2022-08-01', 'Residential', 'West', 12000); | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_ratings (hotel_id INT, hotel_name TEXT, guest_rating FLOAT); | Show the names and ratings of the top 3 hotels | SELECT hotel_name, guest_rating FROM hotel_ratings ORDER BY guest_rating DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE cybersecurity_vulnerabilities_healthcare (id INT, sector TEXT, vulnerability TEXT, discovery_date DATE); INSERT INTO cybersecurity_vulnerabilities_healthcare (id, sector, vulnerability, discovery_date) VALUES (1, 'Healthcare', 'Phishing', '2021-09-01'), (2, 'Finance', 'SQL Injection', '2021-02-15'); | Identify the cybersecurity vulnerabilities in the healthcare sector that were discovered in the last 3 months. | SELECT c.sector, c.vulnerability FROM cybersecurity_vulnerabilities_healthcare c WHERE c.discovery_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) AND c.sector = 'Healthcare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cybersecurity_incidents(id INT, category VARCHAR(255), date DATE); | What is the total number of cybersecurity incidents, by category, for the defense industry, in the last year? | SELECT category, COUNT(*) as count FROM cybersecurity_incidents WHERE date > DATE_SUB(NOW(), INTERVAL 1 YEAR) GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_finance (project_id INT, project_name VARCHAR(255), location VARCHAR(255), start_date DATE, end_date DATE, total_cost DECIMAL(10,2)); | What is the average cost of all climate finance projects in 'Asia'? | SELECT AVG(total_cost) FROM climate_finance WHERE location = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (id INT, name TEXT); INSERT INTO ports (id, name) VALUES (1, 'Port of Oakland'); CREATE TABLE vessel_arrivals (id INT, port_id INT, arrival_date DATE); INSERT INTO vessel_arrivals (id, port_id, arrival_date) VALUES (1, 1, '2022-01-01'), (2, 1, '2022-01-05'); | What are the names of vessels that arrived in the Port of Oakland in the last week? | SELECT v.vessel_name FROM vessels v JOIN vessel_arrivals va ON v.id = va.vessel_id WHERE va.arrival_date BETWEEN DATEADD(day, -7, CURRENT_DATE) AND CURRENT_DATE AND va.port_id = (SELECT id FROM ports WHERE name = 'Port of Oakland'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Accidents (AccidentID INT, CompanyID INT, AccidentDate DATE); INSERT INTO Accidents (AccidentID, CompanyID, AccidentDate) VALUES (1, 1, '2021-01-01'), (2, 2, '2020-12-15'), (3, 3, '2019-05-23'), (4, 4, '2018-09-04'), (5, 1, '2017-02-10'); | How many mining accidents were reported in Africa in the last 3 years? | SELECT COUNT(*) FROM Accidents WHERE YEAR(AccidentDate) >= YEAR(CURRENT_DATE) - 3 AND Country IN ('Algeria', 'South Africa', 'Ghana'); | gretelai_synthetic_text_to_sql |
CREATE TABLE districts (id INT PRIMARY KEY, name TEXT, city TEXT); INSERT INTO districts (id, name, city) VALUES (1, 'Downtown', 'Chicago'), (2, 'West Side', 'Chicago'), (3, 'South Side', 'Chicago'); CREATE TABLE crimes (id INT PRIMARY KEY, district_id INT, crime_type TEXT, committed INT); INSERT INTO crimes (id, distr... | What is the total number of crimes committed in each district in the city of Chicago, grouped by district and ordered by total number of crimes in descending order? | SELECT d.name, SUM(c.committed) FROM districts d JOIN crimes c ON d.id = c.district_id WHERE d.city = 'Chicago' GROUP BY d.name ORDER BY SUM(c.committed) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE departments (id INT, name VARCHAR(255)); INSERT INTO departments (id, name) VALUES (1, 'Human Resources'), (2, 'Public Works'), (3, 'Education'); CREATE TABLE budgets (id INT, department_id INT, year INT, amount INT); INSERT INTO budgets (id, department_id, year, amount) VALUES (1, 1, 2022, 90000), (2, 2, ... | Show the total budget for each department in the 2022 fiscal year | SELECT d.name, SUM(b.amount) as total_budget FROM departments d JOIN budgets b ON d.id = b.department_id WHERE b.year = 2022 GROUP BY d.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE consumers (consumer_id INT, is_vegan BOOLEAN); INSERT INTO consumers (consumer_id, is_vegan) VALUES (1, true), (2, false), (3, true), (4, false); CREATE TABLE preferences (preference_id INT, consumer_id INT, product_id INT); INSERT INTO preferences (preference_id, consumer_id, product_id) VALUES (1, 1, 1),... | What percentage of consumer preferences are for vegan cosmetics? | SELECT (COUNT(DISTINCT preferences.consumer_id) * 100.0 / (SELECT COUNT(DISTINCT consumers.consumer_id) FROM consumers)) AS percentage FROM preferences INNER JOIN consumers ON preferences.consumer_id = consumers.consumer_id INNER JOIN products ON preferences.product_id = products.product_id WHERE products.is_vegan = tr... | gretelai_synthetic_text_to_sql |
CREATE TABLE RuralRoads(RoadID INT, RoadName VARCHAR(50), RoadLength INT, RoadCondition VARCHAR(10)); INSERT INTO RuralRoads(RoadID, RoadName, RoadLength, RoadCondition) VALUES (1, 'Main Road', 7, 'Fair'), (2, 'Branch Road', 3, 'Poor'), (3, 'Access Road', 6, 'Good'); | Update the 'RuralRoads' table, setting 'RoadCondition' to 'Good' for all records with a 'RoadLength' greater than 5 | UPDATE RuralRoads SET RoadCondition = 'Good' WHERE RoadLength > 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE policies (id INT, issue_date DATE); INSERT INTO policies (id, issue_date) VALUES (1, '2020-01-15'), (2, '2019-12-31'), (3, '2020-06-01'); | How many policies were issued in New York between 2020-01-01 and 2020-12-31? | SELECT COUNT(*) FROM policies WHERE issue_date BETWEEN '2020-01-01' AND '2020-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE VisitorDemographicsAfrica (visitor_id INT, country VARCHAR(50), num_visits INT); INSERT INTO VisitorDemographicsAfrica (visitor_id, country, num_visits) VALUES (1001, 'Egypt', 2), (1002, 'South Africa', 5), (1003, 'Nigeria', 3), (1004, 'Morocco', 4); | What is the total number of visitors from African countries? | SELECT SUM(num_visits) FROM VisitorDemographicsAfrica WHERE country IN ('Egypt', 'South Africa', 'Nigeria', 'Morocco', 'Algeria'); | gretelai_synthetic_text_to_sql |
CREATE TABLE material_costs (material_id INT, state VARCHAR(2), material_type VARCHAR(20), cost DECIMAL(5,2)); INSERT INTO material_costs (material_id, state, material_type, cost) VALUES (1, 'IL', 'Concrete', 1000.00), (2, 'IL', 'Steel', 2000.50), (3, 'IL', 'Concrete', 1200.00); | What is the total cost of sustainable construction materials used in Illinois, grouped by material type? | SELECT material_type, SUM(cost) FROM material_costs WHERE state = 'IL' GROUP BY material_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE COMMUNITY_ENGAGEMENT (id INT PRIMARY KEY, name VARCHAR(255), region VARCHAR(255), type VARCHAR(255)); INSERT INTO COMMUNITY_ENGAGEMENT (id, name, region, type) VALUES (1, 'Italian Heritage Festival', 'Europe', 'Cultural'), (2, 'Polish Language Exchange', 'Europe', 'Educational'); | What community engagement programs exist in Europe and their types? | SELECT name, type FROM COMMUNITY_ENGAGEMENT WHERE region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MobileSubscribers (SubscriberID int, Region varchar(10)); CREATE TABLE BroadbandSubscribers (SubscriberID int, Region varchar(10)); INSERT INTO MobileSubscribers (SubscriberID, Region) VALUES (1, 'North'), (2, 'North'), (3, 'South'); INSERT INTO BroadbandSubscribers (SubscriberID, Region) VALUES (1, 'East'... | Identify the number of mobile and broadband subscribers per region, and their respective percentage contributions to total subscribers. | SELECT M.Region, COUNT(M.SubscriberID) AS MobileCount, COUNT(B.SubscriberID) AS BroadbandCount, (COUNT(M.SubscriberID)::float / (COUNT(M.SubscriberID) + COUNT(B.SubscriberID))) * 100 AS MobilePercent, (COUNT(B.SubscriberID)::float / (COUNT(M.SubscriberID) + COUNT(B.SubscriberID))) * 100 AS BroadbandPercent FROM MobileS... | gretelai_synthetic_text_to_sql |
CREATE TABLE drug_revenues (drug_name VARCHAR(100), revenue FLOAT, year INT); INSERT INTO drug_revenues (drug_name, revenue, year) VALUES ('DrugA', 1500000, 2022), ('DrugB', 2000000, 2022), ('DrugC', 1200000, 2022), ('DrugD', 2200000, 2022); | What was the minimum revenue in 2022 across all drugs? | SELECT MIN(revenue) FROM drug_revenues WHERE year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id VARCHAR(10), expiration_date DATE); INSERT INTO products (product_id, expiration_date) VALUES ('P001', '2022-06-01'), ('P002', '2022-07-01'), ('P003', '2022-08-01'), ('P004', '2022-09-01'), ('P005', '2022-10-01'), ('P006', '2022-11-01'); | Update the expiration date for product 'P006' to 2023-05-01. | UPDATE products SET expiration_date = '2023-05-01' WHERE product_id = 'P006'; | gretelai_synthetic_text_to_sql |
CREATE TABLE agricultural_innovation (country VARCHAR(50), project_name VARCHAR(50), project_start_date DATE, budget DECIMAL(10,2)); | Calculate the total budget for agricultural innovation projects in each country and compare the results, excluding projects that were started after 2018. | SELECT country, SUM(budget) as total_budget FROM agricultural_innovation WHERE project_start_date < '2019-01-01' GROUP BY country ORDER BY total_budget DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE state_budget (state VARCHAR(20), service VARCHAR(20), allocation INT); INSERT INTO state_budget (state, service, allocation) VALUES ('StateT', 'Transportation', 2000000), ('StateT', 'Education', 1500000), ('StateU', 'Transportation', 1800000), ('StateU', 'Education', 2200000), ('StateV', 'Transportation', ... | Identify the states that have a higher budget allocation for transportation services than for education services. | SELECT state FROM state_budget WHERE service = 'Transportation' AND allocation > (SELECT allocation FROM state_budget sb WHERE sb.state = state_budget.state AND sb.service = 'Education') GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE MentalHealthProviders (ProviderID INT, Age INT, Gender VARCHAR(10), CulturalCompetencyTraining DATE, CommunityHealthWorker VARCHAR(5), LGBTQCompetency VARCHAR(5)); CREATE TABLE PatientHealthIssues (PatientID INT, Age INT, HealthIssue VARCHAR(20), ProviderID INT, DateSeen DATE); INSERT INTO MentalHealthProv... | What is the average age of patients with anxiety who have received mental health services from providers who have completed cultural competency training for LGBTQ+ populations? | SELECT AVG(PatientHealthIssues.Age) FROM MentalHealthProviders INNER JOIN PatientHealthIssues ON MentalHealthProviders.ProviderID = PatientHealthIssues.ProviderID WHERE PatientHealthIssues.HealthIssue = 'Anxiety' AND MentalHealthProviders.LGBTQCompetency = 'Yes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (id INT, program_name VARCHAR(50), program_type VARCHAR(20), org_id INT, start_date DATE, end_date DATE, budget DECIMAL(10,2)); | What is the average budget for humanitarian aid programs in the Middle East? | SELECT AVG(budget) FROM programs WHERE program_type = 'Humanitarian Aid' AND country_code = 'ME'; | gretelai_synthetic_text_to_sql |
CREATE TABLE AgriInnov (id INT, metric VARCHAR(255), crop VARCHAR(255), country VARCHAR(255)); INSERT INTO AgriInnov (id, metric, crop, country) VALUES (1, 'Yield', 'Corn', 'Mexico'), (2, 'Harvest Time', 'Corn', 'Mexico'); | Delete all agricultural innovation metrics related to corn in Mexico. | DELETE FROM AgriInnov WHERE crop = 'Corn' AND country = 'Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MenuItems (restaurant_id INT, menu_item_id INT, cost DECIMAL(10,2), price DECIMAL(10,2)); INSERT INTO MenuItems (restaurant_id, menu_item_id, cost, price) VALUES (1, 101, 5.00, 12.00), (1, 102, 6.00, 15.00), (1, 103, 4.50, 11.00), (2, 101, 4.00, 10.00), (2, 102, 5.50, 14.00); | Find the top 3 menu items with the highest profit margin in each restaurant. | SELECT restaurant_id, menu_item_id, cost, price, (price - cost) as profit_margin FROM menuitems WHERE profit_margin IN (SELECT MAX(profit_margin) FROM menuitems GROUP BY restaurant_id, FLOOR((ROW_NUMBER() OVER (PARTITION BY restaurant_id ORDER BY profit_margin DESC)) / 3)) ORDER BY restaurant_id, profit_margin DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE athletes (id INT PRIMARY KEY, name VARCHAR(100), age INT, sport VARCHAR(50)); CREATE TABLE teams (id INT PRIMARY KEY, name VARCHAR(100), sport VARCHAR(50)); INSERT INTO teams (id, name, sport) VALUES (1, 'TeamA', 'Basketball'), (2, 'TeamB', 'Soccer'), (3, 'TeamC', 'Basketball'), (4, 'TeamD', 'Hockey'), (5,... | List the top 3 sports with the most athletes in descending order. | SELECT sport, COUNT(*) as athlete_count FROM athletes a JOIN teams t ON a.sport = t.sport GROUP BY sport ORDER BY athlete_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE MiningWaterUsage (Operation VARCHAR(50), Location VARCHAR(50), WaterUsage FLOAT); INSERT INTO MiningWaterUsage(Operation, Location, WaterUsage) VALUES ('Operation A', 'Western US', 1200000), ('Operation B', 'Western US', 1000000), ('Operation C', 'Western US', 1400000), ('Operation D', 'Central US', 160000... | Insert a new mining operation 'Operation F' in the Western US with 1,300,000 water usage. | INSERT INTO MiningWaterUsage(Operation, Location, WaterUsage) VALUES ('Operation F', 'Western US', 1300000); | gretelai_synthetic_text_to_sql |
CREATE TABLE treatment (patient_id INT, treatment_type TEXT); INSERT INTO treatment (patient_id, treatment_type) VALUES (1, 'Cognitive Behavioral Therapy'); INSERT INTO treatment (patient_id, treatment_type) VALUES (3, 'Medication'); | How many patients were treated using cognitive behavioral therapy (CBT)? | SELECT COUNT(*) FROM treatment WHERE treatment_type = 'Cognitive Behavioral Therapy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wind_turbines (turbine_id INT, country VARCHAR(50), energy_production FLOAT); INSERT INTO wind_turbines (turbine_id, country, energy_production) VALUES (1, 'USA', 2.3), (2, 'Canada', 2.5), (3, 'USA', 2.8); | What is the average energy production of wind turbines installed in the USA? | SELECT AVG(energy_production) FROM wind_turbines WHERE country = 'USA' | gretelai_synthetic_text_to_sql |
CREATE TABLE app_database (id INT, name TEXT, application_type TEXT); INSERT INTO app_database (id, name, application_type) VALUES (1, 'appA', 'creative'), (2, 'appB', 'non_creative'); | Show all 'creative' applications in the 'app_database'. | SELECT name FROM app_database WHERE application_type = 'creative'; | gretelai_synthetic_text_to_sql |
CREATE TABLE platform (platform_id INT, platform_name TEXT, location TEXT); INSERT INTO platform (platform_id, platform_name, location) VALUES (1, 'Alpha', 'North Sea'), (2, 'Bravo', 'Gulf of Mexico'); | Which platforms are located in the Gulf of Mexico? | SELECT platform_name FROM platform WHERE location = 'Gulf of Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vehicles (vehicle_id INT, vehicle_type VARCHAR(20), max_weight INT); INSERT INTO Vehicles (vehicle_id, vehicle_type, max_weight) VALUES (1, 'AutonomousTruck', 20000), (2, 'ManualTruck', 25000), (3, 'AutonomousTruck', 22000), (4, 'AutonomousTruck', 23000); | Calculate the average 'max_weight' for 'AutonomousTrucks' in the 'Vehicles' table | SELECT AVG(max_weight) FROM Vehicles WHERE vehicle_type = 'AutonomousTruck'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, age INT, name VARCHAR(255), country VARCHAR(50)); CREATE TABLE transactions (transaction_id INT, customer_id INT, product_id INT, category_id INT, transaction_date DATE, amount DECIMAL(10,2), currency VARCHAR(10)); | What is the total transaction value for each customer in the past week, split by currency, for customers in the United States? | SELECT c.country, c.name, t.currency, SUM(t.amount) as total_transaction_value FROM customers c INNER JOIN transactions t ON c.customer_id = t.customer_id WHERE c.country = 'United States' AND t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 WEEK) GROUP BY c.country, c.name, t.currency; | gretelai_synthetic_text_to_sql |
CREATE TABLE hydro_generation (country VARCHAR(30), generation FLOAT); INSERT INTO hydro_generation (country, generation) VALUES ('Australia', 22000), ('Australia', 23000), ('New Zealand', 10000), ('New Zealand', 11000); | What is the average hydroelectric power generation in Australia and New Zealand? | SELECT AVG(generation) FROM hydro_generation WHERE country IN ('Australia', 'New Zealand') GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_facilities (facility_id INT, name VARCHAR(50), state VARCHAR(20)); INSERT INTO mental_health_facilities (facility_id, name, state) VALUES (1, 'Happy Minds', 'New York'); INSERT INTO mental_health_facilities (facility_id, name, state) VALUES (2, 'California Care', 'California'); | How many mental health facilities are there in New York and California? | SELECT state, COUNT(*) FROM mental_health_facilities WHERE state IN ('New York', 'California') GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE port (port_id VARCHAR(10), port_name VARCHAR(20)); INSERT INTO port VALUES ('P1', 'A'), ('P2', 'B'); CREATE TABLE handling (handling_id INT, port_id VARCHAR(10), cargo_weight INT, handling_date DATE); INSERT INTO handling VALUES (1, 'P1', 5000, '2022-01-01'), (2, 'P1', 6000, '2022-02-01'), (3, 'P1', 7000, ... | What was the total cargo weight handled by port 'A' in Q1 2022? | SELECT SUM(cargo_weight) FROM handling INNER JOIN port ON handling.port_id = port.port_id WHERE port.port_name = 'A' AND handling_date BETWEEN '2022-01-01' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists music_schema;CREATE TABLE if not exists concerts (id INT, name VARCHAR, city VARCHAR, genre VARCHAR, revenue FLOAT);INSERT INTO concerts (id, name, city, genre, revenue) VALUES (1, 'Music Festival', 'New York', 'Pop', 50000.00), (2, 'Rock Concert', 'Chicago', 'Rock', 75000.00), (3, 'Jazz Fes... | Delete all concerts that are not in the 'Pop', 'Rock', or 'Jazz' genres. | DELETE FROM music_schema.concerts WHERE genre NOT IN ('Pop', 'Rock', 'Jazz'); | gretelai_synthetic_text_to_sql |
CREATE TABLE education_programs (id INT, name VARCHAR(255), animal_species_id INT); INSERT INTO education_programs (id, name, animal_species_id) VALUES (1, 'Animal Lovers', 2), (2, 'Nature Explorers', 3), (3, 'Wildlife Adventurers', 1), (4, 'Ocean Guardians', 5), (5, 'Forest Friends', 4); CREATE TABLE animal_species (i... | Identify the community education programs and their associated animal species | SELECT e.name as program_name, a.name as species_name FROM education_programs e JOIN animal_species a ON e.animal_species_id = a.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name VARCHAR(255)); INSERT INTO company (id, name) VALUES (1, 'OceanServe'); CREATE TABLE vessel (id INT, company_id INT, capacity INT, build_year INT); INSERT INTO vessel (id, company_id, capacity, build_year) VALUES (1, 1, 5000, 2012), (2, 1, 6000, 2015), (3, 1, 4000, 2008); | What is the total capacity of all vessels owned by company "OceanServe" that were built after 2010? | SELECT SUM(vessel.capacity) FROM vessel INNER JOIN company ON vessel.company_id = company.id WHERE company.name = 'OceanServe' AND vessel.build_year > 2010; | gretelai_synthetic_text_to_sql |
CREATE TABLE tours (id INT, name TEXT, country TEXT, type TEXT, revenue INT, year INT); INSERT INTO tours (id, name, country, type, revenue, year) VALUES (1, 'Virtual Rome', 'Italy', 'virtual', 25000, 2023); INSERT INTO tours (id, name, country, type, revenue, year) VALUES (2, 'Virtual Florence', 'Italy', 'virtual', 30... | What is the total revenue of virtual tours in Italy for 2023? | SELECT SUM(revenue) FROM tours WHERE type = 'virtual' AND country = 'Italy' AND year = 2023; | gretelai_synthetic_text_to_sql |
CREATE TABLE hydro_power_plants (name VARCHAR(50), location VARCHAR(50), capacity FLOAT, country VARCHAR(50)); INSERT INTO hydro_power_plants (name, location, capacity, country) VALUES ('Plant A', 'USA', 1500, 'United States'), ('Plant B', 'Brazil', 2000, 'Brazil'), ('Plant C', 'China', 1200, 'China'), ('Plant D', 'Can... | What is the average daily energy storage capacity (in MWh) for hydroelectric power plants, grouped by country? | SELECT country, AVG(capacity) as avg_capacity FROM hydro_power_plants GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Labor_Violations (violation_id INT, violation_date DATE, region TEXT, violation_type TEXT); | What is the number of ethical labor violations in the last year in the Latin America region? | SELECT COUNT(*) FROM Labor_Violations WHERE violation_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) AND CURRENT_DATE AND region = 'Latin America' AND violation_type = 'Ethical Labor Violation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (species_id INT, species_name VARCHAR(255), PRIMARY KEY(species_id)); INSERT INTO marine_species (species_id, species_name) VALUES (1, 'Blue Whale'); CREATE TABLE marine_protected_areas (mpa_id INT, name VARCHAR(255), location VARCHAR(255), PRIMARY KEY(mpa_id)); INSERT INTO marine_protected_... | List all marine species and their conservation status in marine protected areas in the Indian Ocean. | SELECT marine_species.species_name, species_conservation.conservation_status FROM marine_species INNER JOIN species_conservation ON marine_species.species_id = species_conservation.species_id INNER JOIN marine_protected_areas ON species_conservation.mpa_id = marine_protected_areas.mpa_id WHERE marine_protected_areas.lo... | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity (company_name VARCHAR(255), gender_distribution VARCHAR(50), ethnicity_distribution VARCHAR(50)); INSERT INTO diversity (company_name, gender_distribution, ethnicity_distribution) VALUES ('Tech Titan Inc', '50/50', 'Diverse'), ('Innovate Inc', '60/40', 'Not Diverse'), ('GreenTech LLC', NULL, NULL... | Identify companies that have not reported diversity metrics for ethnicity | SELECT company_name FROM diversity WHERE ethnicity_distribution IS NULL; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists higher_ed;CREATE TABLE if not exists higher_ed.faculty(id INT, name VARCHAR(255), department VARCHAR(255), grant_amount DECIMAL(10,2), grant_date DATE); | How many research grants were awarded to faculty members in the Arts department in the last 5 years? | SELECT COUNT(*) FROM higher_ed.faculty WHERE department = 'Arts' AND grant_date >= DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE graduate_students (id INT, name VARCHAR(50), program VARCHAR(50), gender VARCHAR(50), enrollment_status VARCHAR(50)); INSERT INTO graduate_students (id, name, program, gender, enrollment_status) VALUES (1, 'Charlie Davis', 'Computer Science', 'Male', 'Enrolled'); INSERT INTO graduate_students (id, name, pr... | How many graduate students are enrolled in STEM fields, broken down by gender? | SELECT gender, COUNT(*) as count FROM graduate_students WHERE program IN ('Computer Science', 'Mathematics', 'Physics', 'Chemistry') AND enrollment_status = 'Enrolled' GROUP BY gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE machines ( id INT PRIMARY KEY, name VARCHAR(255), manufacturing_country VARCHAR(64) ); INSERT INTO machines (id, name, manufacturing_country) VALUES (1, 'CNC Milling Machine', 'Germany'); INSERT INTO machines (id, name, manufacturing_country) VALUES (2, 'Injection Molding Machine', 'China'); | Delete all records from the "machines" table where the "manufacturing_country" is "Germany" | DELETE FROM machines WHERE manufacturing_country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE construction_labor (id INT, worker_name VARCHAR(50), hours_worked INT, project_type VARCHAR(20), state VARCHAR(20)); INSERT INTO construction_labor (id, worker_name, hours_worked, project_type, state) VALUES (1, 'Juan Garcia', 120, 'Non-Sustainable', 'Texas'); INSERT INTO construction_labor (id, worker_nam... | Delete records of labor hours worked on non-sustainable projects in Texas. | DELETE FROM construction_labor WHERE project_type = 'Non-Sustainable' AND state = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MunicipalityH (Month INT, RecyclingQuantity INT); INSERT INTO MunicipalityH (Month, RecyclingQuantity) VALUES (1, 250), (2, 300), (3, 350), (4, 400), (5, 450), (6, 500); | What is the maximum recycling rate in 'MunicipalityH' in the second half of the year? | SELECT MAX(RecyclingQuantity) FROM MunicipalityH WHERE Month BETWEEN 7 AND 12 AND Month % 2 = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cost (id INT, name VARCHAR(50), year INT, cost INT); INSERT INTO Cost (id, name, year, cost) VALUES (1, 'Operation A', 2005, 1000000); INSERT INTO Cost (id, name, year, cost) VALUES (2, 'Operation B', 2008, 1500000); | What is the name and year of the most expensive cybersecurity operation in the 'Cost' table? | SELECT name, year, MAX(cost) FROM Cost; | gretelai_synthetic_text_to_sql |
CREATE TABLE PrecisionAgriculture.FieldDetails (FieldID INT, FieldSize FLOAT, Location VARCHAR(255)); | Select the details of the fields that have a size greater than 5000 square meters | SELECT FieldID, FieldSize, Location FROM PrecisionAgriculture.FieldDetails WHERE FieldSize > 5000; | gretelai_synthetic_text_to_sql |
CREATE TABLE consumption (id INT, region VARCHAR(20), type VARCHAR(20), consumption INT); INSERT INTO consumption (id, region, type, consumption) VALUES (1, 'Southern', 'Green', 1000); INSERT INTO consumption (id, region, type, consumption) VALUES (2, 'Northern', 'Regular', 2000); | What is the minimum energy consumption of green buildings in the Southern region? | SELECT MIN(consumption) FROM consumption WHERE region = 'Southern' AND type = 'Green'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EV_Specs (id INT, vehicle_model VARCHAR(255), manufacturing_country VARCHAR(255), range FLOAT); INSERT INTO EV_Specs (id, vehicle_model, manufacturing_country, range) VALUES (1, 'Hyundai Kona Electric', 'South Korea', 258.0); INSERT INTO EV_Specs (id, vehicle_model, manufacturing_country, range) VALUES (2,... | What is the average range of electric vehicles manufactured in South Korea? | SELECT AVG(range) FROM EV_Specs WHERE manufacturing_country = 'South Korea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE astronauts (badge_id INT, first_name VARCHAR(50), last_name VARCHAR(50), dob DATE, gender VARCHAR(10), missions INT); CREATE TABLE space_missions (mission_id INT, mission_name VARCHAR(50), launch_date DATE, return_date DATE, astronaut_badge_id INT); | How many astronauts have flown missions before the age of 30? | SELECT COUNT(*) FROM astronauts WHERE DATEDIFF('1970-01-01', dob) / 365.25 < 30 AND missions > 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer_hours (id INT, volunteer_name VARCHAR(50), project_name VARCHAR(50), hours_spent DECIMAL(5, 2)); INSERT INTO volunteer_hours (id, volunteer_name, project_name, hours_spent) VALUES (1, 'Maria Rodriguez', 'Habitat Restoration', 5); INSERT INTO volunteer_hours (id, volunteer_name, project_name, hour... | What is the average number of hours spent by volunteers on 'Community Education' programs?; | SELECT AVG(hours_spent) FROM volunteer_hours WHERE project_name = 'Community Education'; | gretelai_synthetic_text_to_sql |
CREATE TABLE brands (brand_id INT, brand_name TEXT); INSERT INTO brands (brand_id, brand_name) VALUES (1, 'Patagonia'), (2, 'Eileen Fisher'), (3, 'Veja'); CREATE TABLE products (product_id INT, product_name TEXT, brand_id INT, retail_price DECIMAL(5,2)); INSERT INTO products (product_id, product_name, brand_id, retail_... | What is the average retail price of hemp garments for each brand? | SELECT brands.brand_name, AVG(products.retail_price) FROM brands JOIN products ON brands.brand_id = products.brand_id WHERE product_name LIKE '%Hemp%' GROUP BY brands.brand_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (id INT, country VARCHAR(255), incident_date DATE); INSERT INTO security_incidents (id, country, incident_date) VALUES (1, 'United States', '2022-06-01'), (2, 'United Kingdom', '2022-06-03'), (3, 'Canada', '2022-06-05'), (4, 'United States', '2022-06-07'), (5, 'Australia', '2022-06-09'); | List the top 3 countries with the highest number of security incidents in the last month, along with the total number of incidents. | SELECT country, COUNT(id) as total_incidents FROM security_incidents WHERE incident_date >= DATEADD(month, -1, GETDATE()) GROUP BY country ORDER BY total_incidents DESC, country ASC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE dairy_farms (id INT, farm_name TEXT, region TEXT, is_organic BOOLEAN); INSERT INTO dairy_farms (id, farm_name, region, is_organic) VALUES (1, 'Harmony Dairy', 'North America', true), (2, 'Dairy Dreams', 'Europe', false); | Which region has the least number of organic dairy farms? | SELECT region, MIN(COUNT(*)) FROM dairy_farms WHERE is_organic = true GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE media_content (id INT, title VARCHAR(255), release_year INT, runtime INT, genre VARCHAR(255), format VARCHAR(50), country VARCHAR(255)); | What is the average runtime of movies and TV shows in each genre, and the number of entries for each genre? | SELECT genre, AVG(runtime) AS avg_runtime, COUNT(*) AS entries FROM media_content GROUP BY genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE explainable_ai_models (model_id INT, model_name TEXT, region TEXT, fairness_score FLOAT); INSERT INTO explainable_ai_models (model_id, model_name, region, fairness_score) VALUES (1, 'Lime', 'South America', 0.92), (2, 'Shap', 'South America', 0.95), (3, 'Skater', 'South America', 0.97); | Which explainable AI models have the highest fairness scores in South America? | SELECT model_name, fairness_score FROM explainable_ai_models WHERE region = 'South America' ORDER BY fairness_score DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, product_id INT, price DECIMAL(10,2), quantity INT);CREATE TABLE circular_supply_chain (product_id INT, source VARCHAR(255), quantity INT);CREATE TABLE sustainable_products (product_id INT, category VARCHAR(255), price DECIMAL(10,2), recycled BOOLEAN, certified_by INT);CREATE TABLE certi... | What is the total revenue generated from sales in the 'sales' table for products in the 'sustainable_products' table that are made from recycled materials and certified by the 'certified_products' table? | SELECT SUM(s.price * s.quantity) FROM sales s JOIN circular_supply_chain c ON s.product_id = c.product_id JOIN sustainable_products sp ON s.product_id = sp.product_id JOIN certified_products cp ON sp.certified_by = cp.certification_id WHERE sp.recycled = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE speeds (id INT, vessel_name VARCHAR(50), type VARCHAR(50), region VARCHAR(50), speed DECIMAL(5,2)); | What is the maximum and minimum speed of vessels in the South Pacific, grouped by their type? | SELECT type, MIN(speed) AS min_speed, MAX(speed) AS max_speed FROM speeds WHERE region = 'South Pacific' GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE VolleyballMatches (match_id INTEGER, team_A TEXT, team_B TEXT, attendance INTEGER); INSERT INTO VolleyballMatches (match_id, team_A, team_B, attendance) VALUES (1, 'Team A', 'Team B', 5000), (2, 'Team C', 'Team D', 6000), (3, 'Team E', 'Team F', 7000); | Delete the volleyball match with the highest attendance. | DELETE FROM VolleyballMatches WHERE attendance = (SELECT MAX(attendance) FROM VolleyballMatches); | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity (id INT PRIMARY KEY, state VARCHAR(2), year INT, accessibility FLOAT, quality FLOAT); | Create a table for mental health parity data | CREATE TABLE if not exists mental_health_parity_new AS SELECT * FROM mental_health_parity WHERE FALSE; | gretelai_synthetic_text_to_sql |
CREATE TABLE provincial_waste (province VARCHAR(255), year INT, waste_generation INT); INSERT INTO provincial_waste (province, year, waste_generation) VALUES ('Quebec', 2020, 5000000); | What is the total waste generation in the province of Quebec for the year 2020? | SELECT waste_generation FROM provincial_waste WHERE province='Quebec' AND year=2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE Crop (id INT, name VARCHAR(255), minimum_temperature INT); INSERT INTO Crop (id, name, minimum_temperature) VALUES (1, 'Rice', 20), (2, 'Wheat', 5), (3, 'Corn', 10); | What is the minimum temperature required for growing rice? | SELECT Crop.name, Crop.minimum_temperature FROM Crop WHERE Crop.name = 'Rice'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA fitness; CREATE TABLE memberships (id INT, member_name VARCHAR(255), city VARCHAR(255), state VARCHAR(255), join_date DATE, membership_type VARCHAR(255), price DECIMAL(10, 2)); | What is the total revenue generated from memberships in the city of Seattle for the year 2022? | SELECT SUM(price) FROM fitness.memberships WHERE city = 'Seattle' AND YEAR(join_date) = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE interactions (user_id INT, post_id INT, timestamp TIMESTAMP); CREATE TABLE posts (id INT, content TEXT); | Display the number of unique users who interacted with posts about 'music' in each month of 2021. | SELECT DATE_FORMAT(timestamp, '%Y-%m') as interaction_month, COUNT(DISTINCT user_id) as monthly_unique_users FROM interactions i JOIN posts p ON i.post_id = p.id WHERE p.content LIKE '%music%' AND YEAR(timestamp) = 2021 GROUP BY interaction_month; | gretelai_synthetic_text_to_sql |
CREATE TABLE orders (order_id INT, customer_id INT, sustainable BOOLEAN);CREATE TABLE customers (customer_id INT, name VARCHAR(50)); | What is the percentage of sustainable fabric orders for the top 3 customers in the past year? | SELECT name, PERCENTAGE(COUNT(*) FILTER (WHERE sustainable)) OVER (PARTITION BY name) FROM orders INNER JOIN customers ON orders.customer_id = customers.customer_id WHERE order_date >= DATEADD(year, -1, CURRENT_DATE) GROUP BY name ORDER BY COUNT(*) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_farms (id INT, name VARCHAR(255), region VARCHAR(255), water_temperature FLOAT, water_depth FLOAT, water_dissolved_oxygen FLOAT); INSERT INTO fish_farms (id, name, region, water_temperature, water_depth, water_dissolved_oxygen) VALUES (1, 'Farm A', 'Europe', 16.5, 9.3, 7.1), (2, 'Farm B', 'Europe', 14... | What is the total water dissolved oxygen (in mg/L) in fish farms located in Europe, having a water temperature above 15 degrees Celsius and a water depth greater than 8 meters? | SELECT SUM(water_dissolved_oxygen) FROM fish_farms WHERE region = 'Europe' AND water_temperature > 15 AND water_depth > 8; | gretelai_synthetic_text_to_sql |
CREATE TABLE Stores (store_id INT, store_name VARCHAR(50), state VARCHAR(50)); INSERT INTO Stores (store_id, store_name, state) VALUES (1, 'Eco-Market', 'Washington'), (2, 'Green Vista', 'Oregon'); CREATE TABLE Inventory (inventory_id INT, product_id INT, product_name VARCHAR(50), store_id INT, last_sale_date DATE); IN... | Delete records for products that have not been sold for the last 6 months in stores located in 'Washington' and 'Oregon' | DELETE FROM Inventory WHERE last_sale_date < DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH) AND store_id IN (SELECT store_id FROM Stores WHERE state IN ('Washington', 'Oregon')); | gretelai_synthetic_text_to_sql |
CREATE TABLE districts (id INT, name TEXT);CREATE TABLE emergencies (id INT, district_id INT, response_time INT, date DATE); | What is the minimum response time for emergency calls in each district in the last year? | SELECT d.name, MIN(e.response_time) FROM districts d JOIN emergencies e ON d.id = e.district_id WHERE e.date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY d.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, total_hours INT, volunteer_status VARCHAR(20)); INSERT INTO volunteers (volunteer_id, total_hours, volunteer_status) VALUES (1, 50, 'inactive'), (2, 150, 'inactive'), (3, 80, 'active'), (4, 200, 'active'); | Update the volunteer records for volunteers who have volunteered more than 100 hours in total to have a volunteer_status of 'active'. | UPDATE volunteers SET volunteer_status = 'active' WHERE total_hours > 100; | gretelai_synthetic_text_to_sql |
CREATE TABLE individuals (individual_id INT, individual_name TEXT, num_donations INT, num_investments INT); | Insert records for a new individual donor with the ID 1001, name 'Aarav Patel', and a total of 2 donations and 1 investment in the 'individuals' table. | INSERT INTO individuals VALUES (1001, 'Aarav Patel', 2, 1); | gretelai_synthetic_text_to_sql |
CREATE TABLE LaborDisputes (id INT, Sector TEXT, DisputeType TEXT, WorkdaysLost INT, DisputeStartDate DATE, DisputeEndDate DATE); | What is the total number of workdays lost due to labor disputes in the 'Technology' sector in 2020? | SELECT SUM(WorkdaysLost) FROM LaborDisputes WHERE Sector = 'Technology' AND YEAR(DisputeStartDate) = 2020 AND YEAR(DisputeEndDate) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE comm_dev (initiative_id INT, completion_year INT); INSERT INTO comm_dev (initiative_id, completion_year) VALUES (1, 2017), (2, 2018), (3, 2019), (4, 2020), (5, 2022); | How many community development initiatives were completed before 2020? | SELECT COUNT(*) FROM comm_dev WHERE completion_year < 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE posts (post_id INT, user_id INT, post_date DATE); INSERT INTO posts (post_id, user_id, post_date) VALUES (1, 1, '2021-01-01'), (2, 1, '2021-01-02'), (3, 2, '2021-01-01'), (4, 3, '2021-01-02'), (5, 3, '2021-01-03'), (6, 4, '2021-01-01'), (7, 5, '2021-01-04'), (8, 5, '2021-01-05'), (9, 6, '2021-01-04'), (10,... | Determine the number of users who have posted at least once per day for the last 7 days in the 'social_media' database. | SELECT COUNT(DISTINCT user_id) FROM (SELECT user_id, post_date FROM posts WHERE post_date >= DATEADD(day, -7, CURRENT_TIMESTAMP) GROUP BY user_id, post_date HAVING COUNT(*) = 1) AS subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE heritagesites (name VARCHAR(255), location VARCHAR(255), designation_date DATE); INSERT INTO heritagesites (name, location, designation_date) VALUES ('Angkor Wat', 'Cambodia', '1992-12-07'); INSERT INTO heritagesites (name, location, designation_date) VALUES ('Prambanan', 'Indonesia', '1991-08-31'); | What is the earliest designation date for UNESCO World Heritage sites in Southeast Asia? | SELECT MIN(designation_date) FROM heritagesites WHERE location = (SELECT location FROM heritagesites WHERE region = 'Southeast Asia' AND designation_date = (SELECT MIN(designation_date) FROM heritagesites WHERE region = 'Southeast Asia')); | gretelai_synthetic_text_to_sql |
CREATE TABLE supplier (id INT, supplier VARCHAR(255), product_type VARCHAR(255), product_count INT); INSERT INTO supplier (id, supplier, product_type, product_count) VALUES (1, 'Supplier A', 'Electronics', 200), (2, 'Supplier B', 'Clothing', 150), (3, 'Supplier C', 'Electronics', 300), (4, 'Supplier D', 'Clothing', 250... | How many products are there in each supplier's inventory, by type? | SELECT supplier, product_type, SUM(product_count) FROM supplier GROUP BY supplier, product_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Gender VARCHAR(10), Position VARCHAR(20), PromotionDate DATE); | How many female employees have been promoted to managerial positions in the last 3 years? | SELECT COUNT(*) as FemaleManagers FROM Employees WHERE Gender = 'Female' AND Position LIKE '%Manager%' AND PromotionDate BETWEEN DATEADD(YEAR, -3, GETDATE()) AND GETDATE(); | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(100), country VARCHAR(50)); INSERT INTO users (id, name, country) VALUES (1, 'John Doe', 'USA'), (2, 'Jane Smith', 'Canada'); CREATE TABLE posts (id INT, user_id INT, content TEXT); INSERT INTO posts (id, user_id, content) VALUES (1, 1, 'Hello World'), (2, 1, 'I love data'); | What is the total number of posts made by users from the United States? | SELECT COUNT(*) FROM posts JOIN users ON posts.user_id = users.id WHERE users.country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT PRIMARY KEY, ArtistName VARCHAR(255)); INSERT INTO Artists (ArtistID, ArtistName) VALUES (1, 'O''Keeffe'); CREATE TABLE Events (EventID INT PRIMARY KEY, EventName VARCHAR(255), Attendance INT, ArtistID INT, FOREIGN KEY (ArtistID) REFERENCES Artists(ArtistID)); INSERT INTO Events (Even... | What is the average age of attendees for events by artist 'O'Keeffe'? | SELECT AVG(Audience.Age) FROM Audience INNER JOIN Events ON Audience.EventID = Events.EventID INNER JOIN Artists ON Events.ArtistID = Artists.ArtistID WHERE Artists.ArtistName = 'O''Keeffe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE brands(brand_id INT, brand_name TEXT); INSERT INTO brands(brand_id, brand_name) VALUES (1, 'BrandA'), (2, 'BrandB'), (3, 'BrandC'); CREATE TABLE products(product_id INT, brand_id INT, material TEXT, quantity INT); INSERT INTO products(product_id, brand_id, material, quantity) VALUES (1, 1, 'hemp', 10), (2,... | What is the difference between the maximum and minimum quantities of 'hemp' used in products for each brand? | SELECT brand_id, brand_name, MAX(quantity) - MIN(quantity) as difference FROM brands b JOIN products p ON b.brand_id = p.brand_id WHERE material = 'hemp' GROUP BY brand_id, brand_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Excavation_Sites (Site_ID INT, Site_Name TEXT, Country TEXT, Number_of_Artifacts INT);INSERT INTO Excavation_Sites (Site_ID, Site_Name, Country, Number_of_Artifacts) VALUES (1, 'Pompeii', 'Italy', 10000);INSERT INTO Excavation_Sites (Site_ID, Site_Name, Country, Number_of_Artifacts) VALUES (2, 'Tutankhamun... | Which excavation sites have the most artifacts? | SELECT Site_Name, Number_of_Artifacts FROM Excavation_Sites ORDER BY Number_of_Artifacts DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE flood_control_projects (id INT, name VARCHAR(50), location VARCHAR(50), budget DECIMAL(10,2)); INSERT INTO flood_control_projects (id, name, location, budget) VALUES (1, 'Montreal Flood Control', 'Quebec', 2000000.00); | Find the total budget for flood control projects in 'Quebec' | SELECT SUM(budget) FROM flood_control_projects WHERE location = 'Quebec'; | gretelai_synthetic_text_to_sql |
CREATE TABLE NGOs (NGOID int, NGOName varchar(50)); INSERT INTO NGOs (NGOID, NGOName) VALUES (1, 'World Vision'), (2, 'Catholic Relief Services'); CREATE TABLE RefugeeSupport (SupportID int, NGOID int, FamilyID int, SupportDate date); INSERT INTO RefugeeSupport (SupportID, NGOID, FamilyID, SupportDate) VALUES (1, 1, 1,... | What is the total number of refugee families supported by each organization in the last 3 months? | SELECT NGOName, COUNT(DISTINCT FamilyID) as SupportedFamilies FROM NGOs INNER JOIN RefugeeSupport ON NGOs.NGOID = RefugeeSupport.NGOID WHERE SupportDate >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) GROUP BY NGOName; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (id INT, name VARCHAR(50), sport VARCHAR(20)); CREATE TABLE games (id INT, home_team_id INT, away_team_id INT, sport VARCHAR(20)); | Display the basketball teams that have not played against the LA Lakers | SELECT teams.name FROM teams LEFT JOIN games ON teams.id = home_team_id OR teams.id = away_team_id WHERE sport = 'Basketball' AND (home_team_id IS NULL OR away_team_id IS NULL OR (home_team_id != (SELECT id FROM teams WHERE name = 'LA Lakers' AND sport = 'Basketball') AND away_team_id != (SELECT id FROM teams WHERE nam... | gretelai_synthetic_text_to_sql |
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