context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE Sites (SiteID int, SiteName text, Location text, Era text); INSERT INTO Sites (SiteID, SiteName, Location, Era) VALUES (1, 'Pompeii', 'Italy', 'Roman'); CREATE TABLE Artifacts (ArtifactID int, ArtifactName text, SiteID int, Era text); INSERT INTO Artifacts (ArtifactID, ArtifactName, SiteID, Era) VALUES (1,... | Which excavation sites have produced Roman pottery? | SELECT Sites.SiteName FROM Sites INNER JOIN Artifacts ON Sites.SiteID = Artifacts.SiteID WHERE Artifacts.Era = 'Roman' AND Artifacts.ArtifactName = 'Roman Pottery'; | gretelai_synthetic_text_to_sql |
CREATE TABLE comprehensive_crops (id INT, crop_name VARCHAR(50), area_ha INT); INSERT INTO comprehensive_crops (id, crop_name, area_ha) VALUES (1, 'Corn', 600), (2, 'Soybeans', 550), (3, 'Rice', 450), (4, 'Wheat', 300); | What is the average area, in square kilometers, of farmland dedicated to 'Corn' and 'Soybeans' crops in the 'comprehensive_crops' table? | SELECT AVG(area_sq_km) as avg_area_sq_km FROM (SELECT area_sq_km FROM (SELECT crop_name, SUM(area_ha * 0.01) as area_sq_km FROM comprehensive_crops WHERE crop_name IN ('Corn', 'Soybeans') GROUP BY crop_name) as subquery) as sq_km_subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(255), publication_date DATE, author VARCHAR(255)); INSERT INTO articles (id, title, publication_date, author) VALUES (1, 'Article1', '2022-05-01', 'Journalist1'), (2, 'Article2', '2022-05-03', 'Journalist2'), (3, 'Article3', '2022-05-05', 'Journalist1'), (4, 'Article4', '202... | Who are the journalists with the most articles published in the last month? | SELECT author, COUNT(*) as articles_count FROM articles WHERE publication_date >= NOW() - INTERVAL 1 MONTH GROUP BY author; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(255), category VARCHAR(255)); INSERT INTO products (product_id, product_name, category) VALUES (1, 'Cream 1', 'beauty'), (2, 'Lipstick 1', 'beauty'); CREATE TABLE users (user_id INT, user_country VARCHAR(255)); INSERT INTO users (user_id, user_country) VALUES ... | What was the total revenue from users in Vietnam and Thailand for the 'beauty' product category in Q2 2023? | SELECT SUM(revenue) FROM orders o JOIN products p ON o.product_id = p.product_id JOIN users u ON o.user_id = u.user_id WHERE u.user_country IN ('Vietnam', 'Thailand') AND p.category = 'beauty' AND o.order_date BETWEEN '2023-04-01' AND '2023-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tv_studios (studio_id INT, studio_name TEXT, country TEXT); INSERT INTO tv_studios (studio_id, studio_name, country) VALUES (1, 'Studio D', 'India'), (2, 'Studio E', 'USA'), (3, 'Studio F', 'UK'); CREATE TABLE tv_shows (show_id INT, title TEXT, rating DECIMAL(2,1), studio_id INT); INSERT INTO tv_shows (sho... | What is the average rating of TV shows produced by companies based in India? | SELECT AVG(tv_shows.rating) FROM tv_shows JOIN tv_studios ON tv_shows.studio_id = tv_studios.studio_id WHERE tv_studios.country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PublicParticipation (Department VARCHAR(255), Quarter INT, Participation INT, PRIMARY KEY (Department, Quarter)); INSERT INTO PublicParticipation (Department, Quarter, Participation) VALUES ('Interior', 1, 500); INSERT INTO PublicParticipation (Department, Quarter, Participation) VALUES ('Interior', 2, 550... | What is the percentage change in public participation for each department between Q1 and Q2 of 2022? | SELECT Department, Quarter, Participation, (Participation - LAG(Participation, 1) OVER (PARTITION BY Department ORDER BY Quarter))*100.0 / LAG(Participation, 1) OVER (PARTITION BY Department ORDER BY Quarter) as ParticipationPercentageChange FROM PublicParticipation; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_clinics (id INT, name TEXT, age INT, gender TEXT); INSERT INTO rural_clinics (id, name, age, gender) VALUES (1, 'Clinic A', 45, 'Male'), (2, 'Clinic B', 35, 'Female'), (3, 'Clinic C', 48, 'Male'); | What is the ratio of male to female healthcare providers in the "rural_clinics" table? | SELECT ROUND(COUNT(CASE WHEN gender = 'Male' THEN 1 END)/COUNT(CASE WHEN gender = 'Female' THEN 1 END), 2) FROM rural_clinics; | gretelai_synthetic_text_to_sql |
CREATE TABLE emergency_calls (id INT, city VARCHAR(50), call_date DATE); INSERT INTO emergency_calls (id, city, call_date) VALUES (1, 'New York', '2020-01-01'); INSERT INTO emergency_calls (id, city, call_date) VALUES (2, 'New York', '2020-02-01'); | List the number of emergency calls in the city of New York by month for the year 2020. | SELECT MONTH(call_date) AS month, COUNT(*) AS calls FROM emergency_calls WHERE city = 'New York' AND YEAR(call_date) = 2020 GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE attendance (visitor_id INT, exhibition_name VARCHAR(255), visit_date DATE); INSERT INTO attendance (visitor_id, exhibition_name, visit_date) VALUES (123, 'Abstraction', '2022-01-04'), (456, 'Abstraction', '2022-01-05'), (789, 'Abstraction', '2022-01-06'), (111, 'Abstraction', '2022-01-07'), (222, 'Abstract... | How many visitors attended the "Abstraction" exhibition on a weekday? | SELECT COUNT(*) AS weekday_visitors FROM attendance WHERE exhibition_name = 'Abstraction' AND EXTRACT(DAY FROM visit_date) BETWEEN 1 AND 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_transportation (transportation_id INT, transportation_type VARCHAR(20), city VARCHAR(50), country VARCHAR(50), year INT, num_vehicles INT); | How many autonomous buses were added to public transportation fleets in Tokyo in 2021? | SELECT SUM(num_vehicles) FROM public_transportation WHERE transportation_type = 'autonomous bus' AND city = 'Tokyo' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE Threat_Intelligence (Threat_ID INT, Threat_Type VARCHAR(50), Threat_Level VARCHAR(50), Reported_Date DATE, Reporting_Agency VARCHAR(50)); CREATE VIEW High_Level_Threats AS SELECT Threat_Type, Threat_Level, Reported_Date FROM Threat_Intelligence WHERE Threat_Level = 'High'; | How many high-level threats has each agency reported in the first half of 2022? | SELECT Reporting_Agency, COUNT(*) as Number_of_High_Level_Threats FROM High_Level_Threats WHERE Reported_Date >= '2022-01-01' AND Reported_Date < '2022-07-01' GROUP BY Reporting_Agency; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (id INT, title VARCHAR(50), medium VARCHAR(50)); CREATE TABLE Art_Periods (id INT, name VARCHAR(50), start_year INT, end_year INT); | What is the most common medium used in our modern and contemporary art exhibitions? | SELECT Exhibitions.medium, COUNT(Exhibitions.id) as exhibition_count FROM Exhibitions INNER JOIN Art_Periods ON Exhibitions.title = Art_Periods.name WHERE Art_Periods.name IN ('Modern Art', 'Contemporary Art') GROUP BY Exhibitions.medium ORDER BY exhibition_count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE City_Transportation (City VARCHAR(20), Transportation VARCHAR(20), Users INT); INSERT INTO City_Transportation (City, Transportation, Users) VALUES ('CityD', 'Public Transportation', 100000); INSERT INTO City_Transportation (City, Transportation, Users) VALUES ('CityD', 'Vehicle Owners', 80000); | What is the number of public transportation users and vehicle owners in CityD? | SELECT City, SUM(CASE WHEN Transportation = 'Public Transportation' THEN Users ELSE 0 END) AS 'Public Transportation Users', SUM(CASE WHEN Transportation = 'Vehicle Owners' THEN Users ELSE 0 END) AS 'Vehicle Owners' FROM City_Transportation WHERE City = 'CityD' GROUP BY City; | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT PRIMARY KEY, name VARCHAR(255), description TEXT, severity VARCHAR(255), date_discovered DATE); | List all records from the 'vulnerabilities' table | SELECT * FROM vulnerabilities; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (incident_id INT, sector VARCHAR(50), incident_type VARCHAR(50), incident_date DATE, incident_cause VARCHAR(50)); INSERT INTO security_incidents (incident_id, sector, incident_type, incident_date, incident_cause) VALUES (1, 'Government', 'Data breach', '2022-01-01', 'Insider threat'), (2... | How many security incidents were caused by insider threats in the government sector in the last year? | SELECT sector, incident_type, COUNT(*) as count FROM security_incidents WHERE sector = 'Government' AND incident_cause = 'Insider threat' AND incident_date >= DATEADD(year, -1, GETDATE()) GROUP BY sector, incident_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name VARCHAR(50), flag_state VARCHAR(50)); INSERT INTO vessels (id, name, flag_state) VALUES (1, 'MV Apollo', 'India'), (2, 'MV Orion', 'India'), (3, 'MV Sirius', 'India'); CREATE TABLE transactions (id INT, vessel_id INT, port_id INT, timestamp TIMESTAMP); INSERT INTO transactions (id, ve... | List all cargo handling transactions and related vessel information for vessels from India. | SELECT t.id, v.name as vessel_name, t.port_id, t.timestamp FROM transactions t JOIN vessels v ON t.vessel_id = v.id WHERE v.flag_state = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (article_id INT, title VARCHAR(100), category VARCHAR(50), publication_date DATE, views INT); INSERT INTO articles (article_id, title, category, publication_date, views) VALUES (1, 'News from the Capital', 'Politics', '2022-01-01', 1500), (2, 'Tech Innovations in 2022', 'Technology', '2022-01-02',... | What is the average number of views per article in the "articles" table for each category? | SELECT category, AVG(views) as avg_views FROM articles GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (id INT, mobility_impairment BOOLEAN, department VARCHAR(255)); INSERT INTO students (id, mobility_impairment, department) VALUES (1, true, 'art'), (2, false, 'engineering'), (3, true, 'art'), (4, true, 'mathematics'), (5, false, 'art'), (6, true, 'art'); CREATE TABLE accommodations (id INT, stude... | What is the minimum number of accommodations provided to a single student with a mobility impairment in the art department? | SELECT MIN(accommodations) FROM (SELECT student_id, COUNT(*) as accommodations FROM accommodations GROUP BY student_id) as subquery WHERE student_id IN (SELECT id FROM students WHERE mobility_impairment = true AND department = 'art'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mines (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), type VARCHAR(255), year_opened INT); INSERT INTO mines (id, name, location, type, year_opened) VALUES (1, 'San Xavier Mine', 'Peru', 'Gold', 1988); INSERT INTO mines (id, name, location, type, year_opened) VALUES (2, 'Cerro Verde Mine', '... | What is the average mining equipment cost for gold mines in Peru? | SELECT AVG(mining_equipment.cost) as avg_cost FROM mining_equipment JOIN mines ON mining_equipment.mine_id = mines.id WHERE mines.location = 'Peru' AND mines.type = 'Gold'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech;CREATE TABLE if not exists biotech.investors (id INT PRIMARY KEY, name VARCHAR(100), location VARCHAR(50), total_funding FLOAT);CREATE TABLE if not exists biotech.startups (id INT PRIMARY KEY, name VARCHAR(100), location VARCHAR(50), funding FLOAT, investor_id INT, FOREIGN KEY (inves... | Who are the top 2 investors in biotech startups in France? | SELECT investors.name, SUM(startups.funding) FROM biotech.investors INNER JOIN biotech.startups ON investors.id = startups.investor_id WHERE investors.location = 'France' GROUP BY investors.name ORDER BY SUM(startups.funding) DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE CityEnergy (City VARCHAR(50), EnergyCapacity FLOAT, SquareFootage FLOAT, Renewable BOOLEAN); INSERT INTO CityEnergy (City, EnergyCapacity, SquareFootage, Renewable) VALUES ('CityA', 5000, 20000, TRUE), ('CityB', 3000, 10000, FALSE); | Which city has the highest renewable energy capacity per square foot? | SELECT City, EnergyCapacity / SquareFootage AS EnergyCapacityPerSqft FROM CityEnergy WHERE Renewable = TRUE ORDER BY EnergyCapacityPerSqft DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinicians (id INT PRIMARY KEY AUTO_INCREMENT, first_name VARCHAR(50), last_name VARCHAR(50)); INSERT INTO clinicians (first_name, last_name) VALUES ('John', 'Doe'), ('Jane', 'Smith'); | Add a new clinician 'Bella' with the last name 'Williams' to the "clinicians" table | INSERT INTO clinicians (first_name, last_name) VALUES ('Bella', 'Williams'); | gretelai_synthetic_text_to_sql |
CREATE TABLE players (id INT PRIMARY KEY, name TEXT, status TEXT, total_spent DECIMAL(10,2)); | Update player records with a 'VIP' status who have spent over $500 | UPDATE players SET status = 'VIP' WHERE total_spent > 500; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer_hours (id INT, organization TEXT, volunteer_hours INT); INSERT INTO volunteer_hours (id, organization, volunteer_hours) VALUES (1, 'Org A', 120), (2, 'Org B', 150), (3, 'Org C', 100), (4, 'Org D', 200), (5, 'Org E', 180), (6, 'Org F', 130); | What is the minimum number of volunteer hours for the top 5 organizations with the most volunteer hours? | SELECT organization, MIN(volunteer_hours) as min_hours FROM volunteer_hours GROUP BY organization ORDER BY min_hours DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (city VARCHAR(50), year INT, recycling_rate DECIMAL(5,2)); INSERT INTO recycling_rates (city, year, recycling_rate) VALUES ('Mumbai', 2019, 0.55), ('Mumbai', 2020, 0.58), ('Mumbai', 2021, 0.62), ('Mumbai', 2022, 0.65); | What is the average recycling rate in Mumbai over the last 3 years? | SELECT AVG(recycling_rate) FROM recycling_rates WHERE city = 'Mumbai' AND year BETWEEN 2019 AND 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE mine (id INT, name TEXT, location TEXT, environmental_impact INT); INSERT INTO mine (id, name, location, environmental_impact) VALUES (1, 'Golden Gorge', 'CA', 30), (2, 'Silver Ridge', 'NV', 20), (3, 'Bronze Basin', 'CO', 15); | Determine the environmental impact of each mine | SELECT name, environmental_impact FROM mine; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_sequestration_2 (id INT, continent VARCHAR(255), site_name VARCHAR(255), area FLOAT, establishment_year INT); INSERT INTO carbon_sequestration_2 (id, continent, site_name, area, establishment_year) VALUES (1, 'North America', 'Site E', 30000.0, 2000), (2, 'North America', 'Site F', 40000.0, 2001), (... | What is the average area of carbon sequestration sites, in hectares, for each continent, broken down by year of establishment? | SELECT continent, establishment_year, AVG(area) FROM carbon_sequestration_2 GROUP BY continent, establishment_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE ny_renewable_projects (project_id INT, project_name VARCHAR(255), installed_capacity FLOAT, completion_date DATE); | What is the total installed capacity (in MW) of renewable energy projects in the state of New York for the year 2020? | SELECT SUM(installed_capacity) FROM ny_renewable_projects WHERE YEAR(completion_date) = 2020 AND state = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EquipmentMaintenance (id INT, EquipmentType VARCHAR(50), EventDate DATE); INSERT INTO EquipmentMaintenance (id, EquipmentType, EventDate) VALUES (1, 'Tank', '2020-01-01'), (2, 'Helicopter', '2020-01-15'), (3, 'Tank', '2020-03-01'), (4, 'Helicopter', '2020-04-01'); | What is the average time between maintenance events for military equipment, per equipment type? | SELECT EquipmentType, AVG(DATEDIFF(EventDate, LAG(EventDate) OVER (PARTITION BY EquipmentType ORDER BY EventDate))) as AverageTimeBetweenEvents FROM EquipmentMaintenance GROUP BY EquipmentType; | gretelai_synthetic_text_to_sql |
CREATE TABLE athletes_count (country_name VARCHAR(100), total_athletes INT); INSERT INTO athletes_count VALUES ('USA', 554), ('China', 419), ('Russia', 282), ('Great Britain', 368), ('Germany', 405); | What are the top 3 countries with the most athletes participating in the Olympics? | SELECT country_name, total_athletes FROM athletes_count ORDER BY total_athletes DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouses (id INT, name TEXT, region TEXT); INSERT INTO warehouses (id, name, region) VALUES (1, 'Warehouse A', 'EMEA'), (2, 'Warehouse B', 'APAC'); | Calculate the average weight of packages shipped from warehouses in the 'APAC' and 'EMEA' regions | SELECT AVG(weight) FROM packages JOIN warehouses ON packages.warehouse_id = warehouses.id WHERE region IN ('APAC', 'EMEA'); | gretelai_synthetic_text_to_sql |
CREATE TABLE HomeInsurance (PolicyholderName VARCHAR(50), PolicyType VARCHAR(50)); CREATE TABLE AutoInsurance (PolicyHolderName VARCHAR(50), PolicyType VARCHAR(50)); INSERT INTO HomeInsurance VALUES ('Alice', 'Home'), ('Bob', 'Home'), ('Charlie', 'Home'); INSERT INTO AutoInsurance VALUES ('Bob', 'Auto'), ('David', 'Aut... | What are the names and policy types of policyholders who have both home and auto insurance? | SELECT HomeInsurance.PolicyholderName, HomeInsurance.PolicyType FROM HomeInsurance JOIN AutoInsurance ON HomeInsurance.PolicyholderName = AutoInsurance.PolicyHolderName WHERE HomeInsurance.PolicyType = 'Home' AND AutoInsurance.PolicyType = 'Auto'; | gretelai_synthetic_text_to_sql |
CREATE TABLE game_scores (user_id INT, game_name VARCHAR(10), score INT); INSERT INTO game_scores (user_id, game_name, score) VALUES (11, 'C', 50), (11, 'C', 75), (11, 'D', 100), (12, 'A', 150), (13, 'B', 200), (13, 'C', 250); | Identify the minimum score achieved by user 11 in game 'C' | SELECT MIN(score) FROM game_scores WHERE user_id = 11 AND game_name = 'C'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production_costs (product_id INT, is_ethically_produced BOOLEAN, cost DECIMAL(5,2)); INSERT INTO production_costs (product_id, is_ethically_produced, cost) VALUES (1, true, 15.00), (2, false, 10.00), (3, true, 20.00); | What is the average cost of production for ethically produced products? | SELECT AVG(cost) FROM production_costs WHERE is_ethically_produced = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists wind_farms (farm_id integer, farm_name varchar(255), farm_location varchar(255), capacity_mw integer); INSERT INTO wind_farms (farm_id, farm_name, farm_location, capacity_mw) VALUES (1, 'Farm A', 'Canada', 200), (2, 'Farm B', 'Canada', 250), (3, 'Farm C', 'Canada', 150), (4, 'Farm D', 'Canada... | What is the maximum installed capacity (in MW) of wind farms in Canada and which farm has the highest capacity? | SELECT farm_location, MAX(capacity_mw) as max_capacity FROM wind_farms WHERE farm_location LIKE 'Canada%' GROUP BY farm_location; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists defense; CREATE TABLE if not exists eu_humanitarian_assistance (id INT PRIMARY KEY, country VARCHAR(50), year INT, spending INT); INSERT INTO eu_humanitarian_assistance (id, country, year, spending) VALUES (1, 'Germany', 2019, 1000), (2, 'Germany', 2020, 1200), (3, 'Germany', 2021, 1500), (4... | What is the total spending on humanitarian assistance by EU countries in the last 3 years? | SELECT SUM(spending) FROM defense.eu_humanitarian_assistance WHERE country IN ('Germany', 'France') AND year BETWEEN 2019 AND 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_education (id INT, program VARCHAR(50), location VARCHAR(50), date DATE); | Count the number of occurrences of 'community outreach' programs in 'community_education' table | SELECT COUNT(*) FROM community_education WHERE program = 'community outreach'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EmployeeTraining (EmployeeID int, EmployeeName varchar(50), Department varchar(50), TrainingProgram varchar(50), TrainingDate date, Country varchar(50)); INSERT INTO EmployeeTraining (EmployeeID, EmployeeName, Department, TrainingProgram, TrainingDate, Country) VALUES (1, 'Fatima Ahmed', 'IT', 'Diversity a... | How many diversity and inclusion training programs were completed by employees in each country in the past year? | SELECT Country, COUNT(*) AS num_diversity_trainings FROM EmployeeTraining WHERE TrainingProgram = 'Diversity and Inclusion' AND TrainingDate >= DATEADD(year, -1, GETDATE()) GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Labor_Productivity (mineral TEXT, region TEXT, productivity REAL); INSERT INTO Labor_Productivity (mineral, region, productivity) VALUES ('Gold', 'South America', 2.8); INSERT INTO Labor_Productivity (mineral, region, productivity) VALUES ('Silver', 'South America', 3.1); INSERT INTO Labor_Productivity (mi... | Update the labor productivity of the 'Coal' extraction in the 'South America' region to 3.5. | UPDATE Labor_Productivity SET productivity = 3.5 WHERE mineral = 'Coal' AND region = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE members (member_id INT, age INT); CREATE TABLE workouts (workout_id INT, member_id INT, date DATE); INSERT INTO members VALUES (1,25),(2,30),(3,22); INSERT INTO workouts VALUES (1,1,'2022-01-01'),(2,1,'2022-01-02'),(3,2,'2022-01-03'),(4,3,'2022-01-04'); | What is the earliest date a member started a workout? | SELECT MIN(date) FROM workouts JOIN members ON workouts.member_id = members.member_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer (vol_id INT, vol_name TEXT, org_id INT, vol_email TEXT); INSERT INTO volunteer (vol_id, vol_name, org_id, vol_email) VALUES (1, 'Alice', 1, 'alice@example.com'); INSERT INTO volunteer (vol_id, vol_name, org_id, vol_email) VALUES (2, 'Bob', 1, NULL); INSERT INTO volunteer (vol_id, vol_name, org_id... | Delete all volunteers who have not provided their email address | DELETE FROM volunteer WHERE vol_email IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE PORT_TOTALS (ID INT, PORT_ID INT, TOTAL_CARGO_WEIGHT INT); INSERT INTO PORT_TOTALS VALUES (1, 1, 10000000); INSERT INTO PORT_TOTALS VALUES (2, 2, 7000000); | Present the number of vessels and total cargo weight for each port, ranked in descending order by total cargo weight. | SELECT P.NAME AS PORT, COUNT(DISTINCT V.ID) AS NUM_VESSELS, SUM(PT.TOTAL_CARGO_WEIGHT) AS TOTAL_WEIGHT, RANK() OVER(ORDER BY SUM(PT.TOTAL_CARGO_WEIGHT) DESC) AS RANK FROM PORT_TOTALS PT JOIN PORTS P ON PT.PORT_ID = P.ID JOIN PORT_CALLS PC ON PT.PORT_ID = PC.PORT_ID JOIN VESSELS V ON PC.VESSEL_ID = V.ID GROUP BY P.ID, P... | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (employee_id INT, name VARCHAR(255), country VARCHAR(255), salary DECIMAL(5,2)); INSERT INTO employees (employee_id, name, country, salary) VALUES (1, 'John Doe', 'USA', 50000.00), (2, 'Jane Smith', 'Canada', 45000.00), (3, 'Maria Garcia', 'Mexico', 20000.00); | What is the average salary for employees in each country? | SELECT country, AVG(salary) as avg_salary FROM employees GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE FoodSafetyRecords (record_id INT, product_id INT, updated_at TIMESTAMP); INSERT INTO FoodSafetyRecords (record_id, product_id, updated_at) VALUES (1, 1, '2022-01-01 12:00:00'), (2, 2, '2022-01-15 14:00:00'), (3, 3, '2022-02-01 09:00:00'); | Which food safety records have been updated in the last 30 days? | SELECT * FROM FoodSafetyRecords WHERE updated_at >= NOW() - INTERVAL '30 days'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT PRIMARY KEY, volunteer_name TEXT); INSERT INTO volunteers (volunteer_id, volunteer_name) VALUES (1, 'Alice'), (2, 'Bob'), (3, 'Charlie'); | Update volunteer name | WITH new_name AS (UPDATE volunteers SET volunteer_name = 'Carl' WHERE volunteer_id = 3 RETURNING volunteer_id) SELECT * FROM new_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_clinics (clinic_id INT, state VARCHAR(2)); INSERT INTO rural_clinics (clinic_id, state) VALUES (1, 'New Mexico'), (2, 'New Mexico'), (3, 'New Mexico'); CREATE TABLE pediatric_care (patient_id INT, clinic_id INT, age INT); INSERT INTO pediatric_care (patient_id, clinic_id, age) VALUES (101, 1, 5), (10... | What is the average age of patients who received pediatric care in rural clinics located in New Mexico? | SELECT AVG(age) FROM pediatric_care d JOIN rural_clinics r ON d.clinic_id = r.clinic_id WHERE r.state = 'New Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species_atlantic (name VARCHAR(255), basin VARCHAR(255)); INSERT INTO marine_species_atlantic (name, basin) VALUES ('Species1', 'Atlantic'), ('Species2', 'Pacific'), ('Species3', 'Indian'), ('Species4', 'Atlantic'); | How many marine species are found in the Atlantic basin, grouped by species name? | SELECT name, COUNT(*) as num_species FROM marine_species_atlantic WHERE basin = 'Atlantic' GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE wildlife_sanctuaries (sanctuary_id INT, sanctuary_name VARCHAR(50));CREATE TABLE animal_population (population_id INT, animal_id INT, species_id INT, sanctuary_id INT); INSERT INTO wildlife_sanctuaries (sanctuary_id, sanctuary_name) VALUES (1, 'Sanctuary A'), (2, 'Sanctuary B'), (3, 'Sanctuary C'); INSERT ... | What is the maximum number of animals of each species in the wildlife sanctuary? | SELECT s.species_name, MAX(COUNT(ap.animal_id)) AS max_animals FROM animal_population ap JOIN wildlife_sanctuaries ws ON ap.sanctuary_id = ws.sanctuary_id JOIN animal_species s ON ap.species_id = s.species_id GROUP BY s.species_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE DonationAmounts (DonationID INT, DonorID INT, DonationDate DATE, DonationAmount DECIMAL(10,2)); INSERT INTO DonationAmounts VALUES (1, 1, '2021-04-05', 1500.00), (2, 1, '2021-08-20', 1500.00), (3, 2, '2021-04-12', 1000.00), (4, 3, '2021-08-01', 2000.00), (5, 1, '2021-03-15', 500.00), (6, 1, '2021-09-01', 7... | What is the moving average of donation amounts for each donor, over the last three donations? | SELECT DonorID, DonationDate, DonationAmount, AVG(DonationAmount) OVER (PARTITION BY DonorID ORDER BY DonationDate ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS MovingAvg FROM DonationAmounts; | gretelai_synthetic_text_to_sql |
CREATE TABLE production_data (year INT, country VARCHAR(255), element_type VARCHAR(255), production_quantity INT); | Insert a new production record for Europium in France in 2023 with 150 tonnes. | INSERT INTO production_data (year, country, element_type, production_quantity) VALUES (2023, 'France', 'Europium', 150); | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_model_creators (creator_id INT, creator_name VARCHAR(255), description TEXT);CREATE TABLE explainable_ai_models (model_id INT, model_name VARCHAR(255), creator_id INT); | Who are the top 3 creators of AI models that prioritize explainability and what are their corresponding model names? | SELECT amc.creator_name, eam.model_name FROM ai_model_creators amc INNER JOIN explainable_ai_models eam ON amc.creator_id = eam.creator_id GROUP BY amc.creator_id ORDER BY COUNT(eam.model_id) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE music_platform (id INT, song_title VARCHAR(100), genre VARCHAR(50), length FLOAT, country VARCHAR(50)); | What is the average length of songs in the rock genre on the music streaming platform in Canada? | SELECT AVG(length) as avg_length FROM music_platform WHERE genre = 'rock' AND country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE OrganicCottonCost (id INT, garment_type VARCHAR(255), cost DECIMAL(10,2)); INSERT INTO OrganicCottonCost (id, garment_type, cost) VALUES (1, 'T-Shirt', 15.50), (2, 'Pants', 30.75), (3, 'Dress', 45.99); | What is the average production cost of garments made from organic cotton per garment type? | SELECT garment_type, AVG(cost) FROM OrganicCottonCost GROUP BY garment_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE veteran_employment (veteran_id INT, job_title VARCHAR(30), hire_date DATE, salary FLOAT); | Add a new view 'veteran_employment_summary' that displays the 'job_title' and average salary for each job title from the 'veteran_employment' table | CREATE VIEW veteran_employment_summary AS SELECT job_title, AVG(salary) FROM veteran_employment GROUP BY job_title; | gretelai_synthetic_text_to_sql |
CREATE TABLE platform_daily_production (platform VARCHAR(255), oil_production FLOAT, gas_production FLOAT, date DATE); | Show all platforms in the Beaufort Sea with production figures over 5000 bbl/day. | SELECT platform FROM platform_daily_production WHERE platform IN (SELECT platform FROM beaufort_sea_platforms) AND oil_production > 5000 GROUP BY platform; | gretelai_synthetic_text_to_sql |
CREATE TABLE Customers (id INT, name VARCHAR(50), sustainable_purchase_date DATE); INSERT INTO Customers (id, name, sustainable_purchase_date) VALUES (1, 'Alice', '2022-01-01'), (2, 'Bob', '2022-02-15'), (3, 'Charlie', '2022-03-05'), (4, 'David', '2022-04-10'), (5, 'Eve', '2022-05-25'), (6, 'Frank', '2022-06-12'); | How many unique customers have made sustainable clothing purchases? | SELECT COUNT(DISTINCT id) FROM Customers WHERE EXISTS (SELECT 1 FROM Sales WHERE Customers.id = Sales.customer_id AND material IN ('Organic Cotton', 'Hemp', 'Recycled Polyester', 'Tencel', 'Bamboo')); | gretelai_synthetic_text_to_sql |
CREATE TABLE economic_diversification (id INT PRIMARY KEY, name VARCHAR(255), description TEXT, start_date DATE, end_date DATE); | Update records in the economic_diversification table with id 4 to have a start_date of 2022-01-01 | WITH cte AS (UPDATE economic_diversification SET start_date = '2022-01-01' WHERE id = 4) SELECT * FROM cte; | gretelai_synthetic_text_to_sql |
CREATE TABLE mines (id INT, name TEXT, production INT, environmental_impact INT); INSERT INTO mines (id, name, production, environmental_impact) VALUES (1, 'Golden Mine', 1000, 20), (2, 'Silver Mine', 500, 15), (3, 'Bronze Mine', 300, 10), (4, 'Platinum Mine', 800, 30); | What is the environmental impact score of the mine with the highest production? | SELECT environmental_impact FROM mines ORDER BY production DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE departments (id INT, name VARCHAR(255)); INSERT INTO departments (id, name) VALUES (1, 'HR'), (2, 'IT'), (3, 'Marketing'); | What is the total number of employees by department? | SELECT SUM(id) FROM departments; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, donation_date DATE); INSERT INTO donors (id, donation_date) VALUES (1, '2022-01-15'), (2, '2022-02-10'), (3, '2022-02-25'), (4, '2022-03-05'); | Show the number of new donors per month in 2022. | SELECT DATE_FORMAT(donation_date, '%Y-%m') as month, COUNT(DISTINCT id) as new_donors FROM donors WHERE YEAR(donation_date) = 2022 GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE IngredientSources (ProductID INT, Ingredient VARCHAR(50), SourceCountry VARCHAR(50), PRIMARY KEY (ProductID, Ingredient)); INSERT INTO IngredientSources (ProductID, Ingredient, SourceCountry) VALUES (1, 'Water', 'Canada'), (1, 'Glycerin', 'USA'), (2, 'Water', 'Mexico'), (2, 'Glycerin', 'Canada'); CREATE TA... | Which products have passing safety inspections and use ingredients sourced from the USA and Mexico? | SELECT ProductID FROM IngredientSources WHERE SourceCountry IN ('USA', 'Mexico') GROUP BY ProductID HAVING COUNT(DISTINCT SourceCountry) = 2 INTERSECT SELECT ProductID FROM ProductSafetyRecords WHERE Result = 'Pass'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy_projects (id INT, name VARCHAR(50), location VARCHAR(50), installed_capacity FLOAT); INSERT INTO renewable_energy_projects (id, name, location, installed_capacity) VALUES (1, 'Project 1', 'Location A', 100.5), (2, 'Project 2', 'Location B', 150.2), (3, 'Project 3', 'Location C', 200.0); | What is the maximum installed capacity for a single renewable energy project in the 'renewable_energy' schema? | SELECT MAX(installed_capacity) FROM renewable_energy_projects; | gretelai_synthetic_text_to_sql |
CREATE TABLE excavation_sites (id INT, site_name VARCHAR(50), location VARCHAR(50), num_artifacts INT, total_funding DECIMAL(10,2)); | What was the maximum total funding for excavation sites in Africa? | SELECT MAX(total_funding) as max_funding FROM excavation_sites WHERE location LIKE 'Africa%' | gretelai_synthetic_text_to_sql |
CREATE TABLE infrastructure (id INT, name VARCHAR(255), type VARCHAR(255), region VARCHAR(255)); INSERT INTO infrastructure (id, name, type, region) VALUES (1, 'Bridge1', 'Bridge', 'Texas'), (2, 'Road1', 'Road', 'Texas'), (3, 'Bridge2', 'Bridge', 'California'); | Report the number of bridges and roads in the 'Texas' region | SELECT COUNT(CASE WHEN infrastructure.type = 'Bridge' THEN 1 END), COUNT(CASE WHEN infrastructure.type = 'Road' THEN 1 END) FROM infrastructure WHERE infrastructure.region = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE aircraft (id INT, model VARCHAR(50), manufacturer VARCHAR(50), production_year INT, records VARCHAR(50)); | Delete all records related to the XYZ aircraft model | DELETE FROM aircraft WHERE model = 'XYZ'; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intelligence (report_id INT, report_date DATE, report_type TEXT); INSERT INTO threat_intelligence (report_id, report_date, report_type) VALUES (1, '2021-01-01', 'Cyber'), (2, '2021-02-01', 'Terrorism'); | How many threat intelligence reports were generated each month in 2021? | SELECT DATEPART(YEAR, report_date) as Year, DATEPART(MONTH, report_date) as Month, COUNT(*) as Number_of_Reports FROM threat_intelligence WHERE report_date BETWEEN '2021-01-01' AND '2021-12-31' GROUP BY DATEPART(YEAR, report_date), DATEPART(MONTH, report_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE organization (id INT, name VARCHAR(255)); CREATE TABLE volunteer (id INT, name VARCHAR(255), organization_id INT, volunteer_date DATE); | Which organizations have the most repeat volunteers? | SELECT o.name, COUNT(DISTINCT v.id) as num_volunteers FROM volunteer v JOIN organization o ON v.organization_id = o.id JOIN (SELECT volunteer_id, COUNT(*) as num_volunteers FROM volunteer GROUP BY volunteer_id HAVING COUNT(*) > 1) sub ON v.id = sub.volunteer_id GROUP BY o.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE labels (id INT, product VARCHAR(255), is_fragrance_free BOOLEAN, is_vegan BOOLEAN); INSERT INTO labels (id, product, is_fragrance_free, is_vegan) VALUES (1, 'Lotion', true, true), (2, 'Shampoo', false, false), (3, 'Conditioner', true, true), (4, 'Body Wash', false, false), (5, 'Deodorant', true, false); | Determine the number of products with fragrance-free and vegan labels. | SELECT COUNT(*) FROM labels WHERE is_fragrance_free = true AND is_vegan = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE MiningOperations (id INT, location TEXT, energy_consumption INT);INSERT INTO MiningOperations (id, location, energy_consumption) VALUES (1, 'Australia', 12000), (2, 'Brazil', 15000), (3, 'South Africa', 18000); | What is the total amount of energy consumed by the mining operations in the 'MiningOperations' table? | SELECT SUM(energy_consumption) FROM MiningOperations; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (id INT, mission VARCHAR(20), country VARCHAR(20));INSERT INTO space_missions (id, mission, country) VALUES (1, 'Mars-1', 'USA'), (2, 'Moon-1', 'China'), (3, 'Asteroid-1', 'USA'), (4, 'Mars-2', 'India'); | How many space missions have been recorded for each country? | SELECT country, COUNT(mission) FROM space_missions GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cosmic_Conquerors (player_id INT, player_name VARCHAR(50), score INT); INSERT INTO Cosmic_Conquerors (player_id, player_name, score) VALUES (1, 'David Lee', 1500), (2, 'Diana Chen', 1700), (3, 'Ella White', 1200); | What is the maximum score achieved by players named 'David' or 'Diana' in the game 'Cosmic Conquerors'? | SELECT MAX(score) FROM Cosmic_Conquerors WHERE player_name IN ('David', 'Diana'); | gretelai_synthetic_text_to_sql |
CREATE TABLE arctic_biodiversity (species_id INT, species_name VARCHAR(255), population INT, region VARCHAR(255)); CREATE TABLE iucn_redlist (species_id INT, conservation_status VARCHAR(255)); | List the species in the 'arctic_biodiversity' table and their conservation status from the 'iucn_redlist' table, if available. | SELECT a.species_name, r.conservation_status FROM arctic_biodiversity a LEFT JOIN iucn_redlist r ON a.species_id = r.species_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (country VARCHAR(255), year INT, plastic_rate FLOAT); INSERT INTO recycling_rates (country, year, plastic_rate) VALUES ('Germany', 2020, 0.6), ('Austria', 2020, 0.7), ('Switzerland', 2020, 0.8); | What is the recycling rate for plastic in the top 3 recycling countries in 2020? | SELECT r.country, r.plastic_rate as recycling_rate FROM recycling_rates r ORDER BY r.plastic_rate DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Rural_Development_Fund(farmer_id INT, farmer_name VARCHAR(50), country VARCHAR(50)); INSERT INTO Rural_Development_Fund(farmer_id, farmer_name, country) VALUES (1, 'John Doe', 'China'), (2, 'Jane Smith', 'India'); | What is the total number of farmers who received support from the 'Rural Development Fund' in 'Asia'? | SELECT COUNT(*) FROM Rural_Development_Fund WHERE country = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE FashionTrends (TrendID INT, TrendName TEXT, Popularity INT, ProductionVolume INT, CO2Emission INT); INSERT INTO FashionTrends (TrendID, TrendName, Popularity, ProductionVolume, CO2Emission) VALUES (1, 'Athleisure', 8000, 7000, 300), (2, 'Denim', 9000, 6000, 250), (3, 'Boho-Chic', 7000, 5000, 200), (4, 'Min... | What is the total CO2 emission for each fashion trend that is popular in Spain and has a production volume greater than 6000? | SELECT FT.TrendName, SUM(FT.CO2Emission) FROM FashionTrends FT INNER JOIN ProductionVolume PV ON FT.TrendID = PV.TrendID WHERE FT.Popularity > 8000 AND PV.ProductionVolume > 6000 GROUP BY FT.TrendName; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (id INT, hotel_name VARCHAR(50), region VARCHAR(50), revenue INT); | What is the total revenue generated by the hotels table for each region? | SELECT region, SUM(revenue) FROM hotels GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE RenewableProjects (id INT, name VARCHAR(50), type VARCHAR(20), state CHAR(2));CREATE VIEW Funding AS SELECT project_id, amount FROM FundingDetails; | List all renewable energy projects and their corresponding funding amounts from the RenewableProjects and Funding table | SELECT rp.name, rp.type, f.amount FROM RenewableProjects rp INNER JOIN Funding f ON rp.id = f.project_id; | gretelai_synthetic_text_to_sql |
CREATE VIEW Count_By_Type AS SELECT project_id, project_name, project_type FROM Water_Infrastructure WHERE year >= 2015; CREATE TABLE Project_Types (project_type VARCHAR(255), type_description VARCHAR(255)); | Find the number of projects of each type in the Count_By_Type view | SELECT project_type, COUNT(*) FROM Count_By_Type JOIN Project_Types ON Count_By_Type.project_type = Project_Types.project_type GROUP BY project_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (country_id INT PRIMARY KEY, country_name VARCHAR(50)); INSERT INTO countries (country_id, country_name) VALUES (1, 'USA'), (2, 'Canada'), (3, 'Australia'), (4, 'Brazil'); CREATE TABLE cruelty_free_certified (product_id INT, country_id INT, FOREIGN KEY (country_id) REFERENCES countries(country_id... | Which countries do not have any cruelty-free certified products? | SELECT country_name FROM countries WHERE country_id NOT IN (SELECT country_id FROM cruelty_free_certified); | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tour (id INT PRIMARY KEY, name VARCHAR(255), language VARCHAR(255), focus VARCHAR(255), user_rating DECIMAL(3,2)); INSERT INTO virtual_tour (id, name, language, focus, user_rating) VALUES (1, 'Tour of the Alhambra', 'Spanish', 'Cultural Heritage', 4.5); | List the virtual tours that are available in Spanish and have a cultural heritage focus, along with their average user rating. | SELECT vt.name, vt.language, vt.focus, AVG(vt.user_rating) as avg_rating FROM virtual_tour vt WHERE vt.language = 'Spanish' AND vt.focus = 'Cultural Heritage' GROUP BY vt.name, vt.language, vt.focus; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_mitigation_projects (id INT, project VARCHAR(255), location VARCHAR(255), reduction_percentage DECIMAL(5,2), start_year INT, end_year INT); | What is the average CO2 emission reduction achieved by climate mitigation projects in Australia? | SELECT AVG(reduction_percentage) FROM climate_mitigation_projects WHERE location = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE drivers (driver_id INT, driver_name VARCHAR(255)); CREATE TABLE trips (trip_id INT, driver_id INT, route_id INT, fare_amount DECIMAL(5,2), trip_date DATE); | What is the average fare per trip for each driver in the past month? | SELECT d.driver_name, AVG(t.fare_amount/COUNT(t.trip_id)) as avg_fare_per_trip FROM drivers d INNER JOIN trips t ON d.driver_id = t.driver_id WHERE t.trip_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY d.driver_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE stations_with_species (station_id INT); INSERT INTO stations_with_species (station_id) VALUES (1), (2), (3); | Identify marine research stations without any marine species | SELECT r.station_name FROM research_stations r WHERE r.station_id NOT IN (SELECT s.station_id FROM species_per_region s); | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, country VARCHAR(255), year INT); INSERT INTO patients (id, country, year) VALUES (1, 'Brazil', 2021), (2, 'Argentina', 2022), (3, 'Colombia', 2021); CREATE TABLE therapy (patient_id INT, therapy_type VARCHAR(255)); INSERT INTO therapy (patient_id, therapy_type) VALUES (1, 'Psychotherapy')... | How many patients in Latin America received psychotherapy in 2021? | SELECT country as region, COUNT(*) as patient_count FROM patients JOIN therapy ON patients.id = therapy.patient_id WHERE therapy_type = 'Psychotherapy' AND year = 2021 AND country IN (SELECT country FROM patients WHERE country LIKE 'Latin%'); | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage (id INT, usage FLOAT, purpose VARCHAR(20), date DATE); INSERT INTO water_usage (id, usage, purpose, date) VALUES (1, 300, 'agricultural', '2021-04-01'); INSERT INTO water_usage (id, usage, purpose, date) VALUES (2, 320, 'agricultural', '2021-04-08'); | Find the minimum weekly water usage for 'agricultural' purposes in 'Q2 2021' from the 'water_usage' table | SELECT MIN(usage) FROM (SELECT usage FROM water_usage WHERE purpose = 'agricultural' AND date BETWEEN '2021-04-01' AND '2021-06-30' GROUP BY WEEK(date)) as weekly_usage; | gretelai_synthetic_text_to_sql |
CREATE TABLE socially_responsible_lending (lending_id INT, lending_date DATE, lending_amount INT, institution_type TEXT); CREATE TABLE microfinance_institutions (institution_id INT, lending_id INT); | What is the total amount of socially responsible lending provided to microfinance institutions in the last year? | SELECT SUM(srl.lending_amount) FROM socially_responsible_lending srl JOIN microfinance_institutions mfi ON srl.lending_id = mfi.lending_id WHERE srl.lending_date >= DATEADD(year, -1, CURRENT_DATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE machine_maintenance_new (id INT PRIMARY KEY, machine_name VARCHAR(50), last_maintenance_date DATE); CREATE TABLE machine_usage_new (id INT PRIMARY KEY, machine_name VARCHAR(50), usage_hours INT); | List all the machines that have not been maintained in the last 60 days and their usage hours. | SELECT m.machine_name, u.usage_hours FROM machine_maintenance_new m RIGHT JOIN machine_usage_new u ON m.machine_name = u.machine_name WHERE m.last_maintenance_date < CURDATE() - INTERVAL 60 DAY; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA IF NOT EXISTS utilities; CREATE TABLE utilities.projects (id INT, name VARCHAR(100), completed_date DATE); INSERT INTO utilities.projects (id, name, completed_date) VALUES (1, 'Power Line Replacement', '2019-06-30'), (2, 'Substation Expansion', '2021-05-15'), (3, 'Sewer System Upgrade', '2018-12-20'); | Count the number of projects in the 'utilities' schema that were completed before 2020-01-01 | SELECT COUNT(*) FROM utilities.projects WHERE completed_date < '2020-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (organization_id INT, organization_name VARCHAR(255)); CREATE TABLE initiatives (initiative_id INT, organization_id INT, initiative_type VARCHAR(255), start_date DATE); | What is the number of criminal justice reform initiatives implemented by each organization by year? | SELECT organization_name, YEAR(start_date) as year, COUNT(*) as total_initiatives FROM initiatives JOIN organizations ON initiatives.organization_id = organizations.organization_id WHERE initiative_type = 'Criminal Justice Reform' GROUP BY organization_name, year; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, country VARCHAR(255)); CREATE TABLE treatments (id INT, patient_id INT, type VARCHAR(255), start_date DATE); CREATE TABLE outcomes (id INT, patient_id INT, treatment_id INT, improvement BOOLEAN, follow_up_date DATE); INSERT INTO patients (id, country) VALUES (1, 'USA'), (2, 'USA'), (3, 'U... | What percentage of patients in the USA showed improvement after 3 months of cognitive behavioral therapy? | SELECT 100.0 * COUNT(DISTINCT CASE WHEN outcomes.follow_up_date < treatments.start_date + INTERVAL '3 month' AND outcomes.improvement THEN patients.id END) / COUNT(DISTINCT patients.id) AS percentage FROM patients JOIN treatments ON patients.id = treatments.patient_id JOIN outcomes ON treatments.id = outcomes.treatment... | gretelai_synthetic_text_to_sql |
CREATE TABLE disaster_relief_missions (mission_id INT, mission_name VARCHAR(255), organization_id INT); INSERT INTO disaster_relief_missions (mission_id, mission_name, organization_id) VALUES (1, 'Mission A', 1), (2, 'Mission B', 2), (3, 'Mission C', 3), (4, 'Mission D', 1), (5, 'Mission E', 2), (6, 'Mission F', 3); CR... | What is the number of disaster relief missions carried out by each organization, sorted by the number of missions in descending order? | SELECT organization_id, COUNT(mission_id) as num_of_missions FROM disaster_relief_missions INNER JOIN organizations ON disaster_relief_missions.organization_id = organizations.organization_id GROUP BY organization_id ORDER BY num_of_missions DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists employment (id INT, industry VARCHAR, number_of_employees INT); INSERT INTO employment (id, industry, number_of_employees) VALUES (1, 'manufacturing', 5000), (2, 'technology', 8000), (3, 'healthcare', 7000), (4, 'retail', 6000), (5, 'education', 9000), (6, 'finance', 10000), (7, 'government',... | What is the number of employees in the 'government' industry? | SELECT SUM(number_of_employees) FROM employment WHERE industry = 'government'; | gretelai_synthetic_text_to_sql |
CREATE TABLE species_research (id INT, species_id INT, year INT, location VARCHAR(50), observations INT); INSERT INTO species_research (id, species_id, year, location, observations) VALUES (1, 1, 2015, 'Arctic', 350), (2, 1, 2016, 'Antarctic', 400), (3, 2, 2016, 'Arctic', 500); CREATE TABLE species (id INT, name VARCHA... | What species were studied in 2015 and 2016? | SELECT s.name FROM species_research r JOIN species s ON r.species_id = s.id WHERE r.year IN (2015, 2016); | gretelai_synthetic_text_to_sql |
CREATE TABLE customer_complaints_data (complaint_id INT, complaint_type VARCHAR(20), complaint_date DATE); INSERT INTO customer_complaints_data (complaint_id, complaint_type, complaint_date) VALUES (1, 'Billing', '2022-01-01'), (2, 'Service', '2022-02-01'), (3, 'Billing', '2022-03-01'); | What is the total number of customer complaints by issue type and month? | SELECT DATE_FORMAT(complaint_date, '%Y-%m') AS month, complaint_type, COUNT(*) AS complaint_count FROM customer_complaints_data GROUP BY month, complaint_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE AlgoFairness_Table1 (algorithm_id INT, metric VARCHAR(50), value FLOAT); INSERT INTO AlgoFairness_Table1 (algorithm_id, metric, value) VALUES (1, 'Fairness', 0.9); INSERT INTO AlgoFairness_Table1 (algorithm_id, metric, value) VALUES (2, 'Fairness', 0.85); INSERT INTO AlgoFairness_Table1 (algorithm_id, metr... | What is the maximum fairness score for each algorithm in the 'AlgoFairness_Table1' table? | SELECT algorithm_id, MAX(value) as max_fairness FROM AlgoFairness_Table1 WHERE metric = 'Fairness' GROUP BY algorithm_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE calls(id INT, subscriber_id INT, type VARCHAR(50), duration INT, roaming_charge FLOAT, date DATE); | What is the total revenue generated from roaming charges for the Latin America region in the last quarter? | SELECT SUM(roaming_charge) FROM calls WHERE type = 'roaming' AND date >= DATE_SUB(CURDATE(), INTERVAL 3 MONTH) AND EXTRACT(REGION FROM date) = 'America/Latin'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MenuItems (id INT, name VARCHAR(50), restaurant_id INT, price DECIMAL(5,2), category VARCHAR(20)); INSERT INTO MenuItems (id, name, restaurant_id, price, category) VALUES (1, 'Cheeseburger', 1, 7.99, 'Main'); INSERT INTO MenuItems (id, name, restaurant_id, price, category) VALUES (2, 'Fries', 1, 2.99, 'Sid... | How many menu items are there in each category? | SELECT category, COUNT(*) FROM MenuItems GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE athletes (id INT, name VARCHAR(50), age INT, sport VARCHAR(50), event VARCHAR(50)); INSERT INTO athletes (id, name, age, sport, event) VALUES (1, 'John Doe', 25, 'Athletics', 'Olympics'), (2, 'Jane Smith', 30, 'Swimming', 'Commonwealth Games'), (3, 'Richard Roe', 28, 'Athletics', 'Commonwealth Games'), (4,... | List the names of athletes who have participated in the Olympics but not in the Commonwealth Games. | SELECT name FROM athletes WHERE event = 'Olympics' AND id NOT IN (SELECT id FROM athletes WHERE event = 'Commonwealth Games'); | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (id INT, name VARCHAR); INSERT INTO regions (id, name) VALUES (1, 'Region A'), (2, 'Region B'); CREATE TABLE heritage_sites (id INT, region_id INT, name VARCHAR, preservation_program VARCHAR); INSERT INTO heritage_sites (id, region_id) VALUES (1, 1, 'Heritage Site A', 'Language Preservation'), (2, ... | What is the total number of language preservation programs in each region? | SELECT regions.name, COUNT(heritage_sites.id) AS total_preservation_programs FROM regions INNER JOIN heritage_sites ON regions.id = heritage_sites.region_id WHERE heritage_sites.preservation_program = 'Language Preservation' GROUP BY regions.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE nft_trading (id INT, date DATE, country VARCHAR(50), volume DECIMAL(10, 2)); INSERT INTO nft_trading (id, date, country, volume) VALUES (1, '2022-01-01', 'Brazil', 100), (2, '2022-01-02', 'Argentina', 200), (3, '2022-01-03', 'Chile', 300); | What is the average daily trading volume of non-fungible tokens (NFT) in South America? | SELECT AVG(volume) FROM nft_trading WHERE country IN ('Brazil', 'Argentina', 'Chile') AND date BETWEEN '2022-01-01' AND '2022-01-31'; | gretelai_synthetic_text_to_sql |
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