context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
values |
|---|---|---|---|
CREATE TABLE well_production (well_id INT, measurement_date DATE, production_rate FLOAT, location TEXT); INSERT INTO well_production (well_id, measurement_date, production_rate, location) VALUES (1, '2022-01-01', 500, 'USA'), (2, '2022-02-01', 700, 'Saudi Arabia'), (3, '2022-03-01', 600, 'Canada'), (4, '2022-02-01', 80... | What's the average production rate for wells in the Middle East in the last quarter? | SELECT AVG(production_rate) FROM well_production WHERE measurement_date >= DATEADD(quarter, -1, GETDATE()) AND location LIKE 'Middle East%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (city VARCHAR(20), year INT, recycling_rate FLOAT);INSERT INTO recycling_rates (city, year, recycling_rate) VALUES ('San Francisco', 2019, 0.65), ('San Francisco', 2020, 0.7), ('San Francisco', 2021, 0.75), ('Oakland', 2019, 0.55), ('Oakland', 2020, 0.6), ('Oakland', 2021, 0.65); | Find the city with the highest recycling rate in 2021 | SELECT city FROM recycling_rates WHERE year = 2021 AND recycling_rate = (SELECT MAX(recycling_rate) FROM recycling_rates WHERE year = 2021); | gretelai_synthetic_text_to_sql |
CREATE TABLE food_inspections (restaurant_id INT, inspection_date DATE); | Delete records in the food_inspections table where the inspection_date is before '2021-01-01' | DELETE FROM food_inspections WHERE inspection_date < '2021-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE schools (school_id INT, school_name VARCHAR(255), city VARCHAR(255)); CREATE TABLE student_mental_health (student_id INT, school_id INT, mental_health_score INT); INSERT INTO schools (school_id, school_name, city) VALUES (1, 'School A', 'City X'), (2, 'School B', 'City X'), (3, 'School C', 'City Y'); INSER... | Which students have a higher mental health score than the average mental health score of their school? | SELECT student_id, mental_health_score, school_id, AVG(mental_health_score) OVER (PARTITION BY school_id) as avg_school_score FROM student_mental_health; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_operations (operation_id INT, operation_name VARCHAR(50), location VARCHAR(50)); CREATE TABLE co2_emissions (operation_id INT, co2_emissions_tonnes INT); INSERT INTO mining_operations (operation_id, operation_name, location) VALUES (1, 'Operation A', 'USA'), (2, 'Operation B', 'Canada'), (3, 'Operat... | Which mining operations have no CO2 emissions data? | SELECT mining_operations.operation_name FROM mining_operations LEFT JOIN co2_emissions ON mining_operations.operation_id = co2_emissions.operation_id WHERE co2_emissions.operation_id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE animals (id INT PRIMARY KEY, name VARCHAR(50), species VARCHAR(50), population INT); CREATE TABLE habitats (id INT PRIMARY KEY, name VARCHAR(50), location VARCHAR(50), size FLOAT, animal_id INT); | What is the total number of animals in each habitat, grouped by habitat size? | SELECT habitats.size, COUNT(DISTINCT animals.id) AS total_animals FROM animals INNER JOIN habitats ON animals.id = habitats.animal_id GROUP BY habitats.size; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID int, ArtistName varchar(100), Nationality varchar(50)); INSERT INTO Artists (ArtistID, ArtistName, Nationality) VALUES (1, 'Pablo Picasso', 'Spanish'), (2, 'Jackson Pollock', 'American'), (3, 'Francis Bacon', 'Irish'); CREATE TABLE ExhibitedWorks (WorkID int, ArtistID int, MuseumID int); ... | List all artists and their respective countries who have had their works displayed in the Guggenheim Museum. | SELECT Artists.ArtistName, Artists.Nationality FROM Artists INNER JOIN ExhibitedWorks ON Artists.ArtistID = ExhibitedWorks.ArtistID INNER JOIN Museums ON ExhibitedWorks.MuseumID = Museums.MuseumID WHERE Museums.MuseumName = 'Guggenheim Museum'; | gretelai_synthetic_text_to_sql |
CREATE TABLE research_grants (id INT, student_type VARCHAR(10), amount DECIMAL(10,2)); INSERT INTO research_grants (id, student_type, amount) VALUES (1, 'Domestic', 15000.00), (2, 'International', 20000.00); | What are the total number of research grants awarded to domestic and international graduate students? | SELECT SUM(amount) FROM research_grants WHERE student_type IN ('Domestic', 'International'); | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, sector TEXT, ESG_rating FLOAT); INSERT INTO companies (id, sector, ESG_rating) VALUES (1, 'technology', 78.2), (2, 'finance', 82.5), (3, 'technology', 84.6); | Increase the ESG rating by 5 for company with id 1. | UPDATE companies SET ESG_rating = ESG_rating + 5 WHERE id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (RestaurantID int, Name varchar(50), Location varchar(50)); CREATE TABLE Menu (MenuID int, ItemName varchar(50), Category varchar(50)); CREATE TABLE MenuSales (MenuID int, RestaurantID int, QuantitySold int, Revenue decimal(5,2), SaleDate date); INSERT INTO Menu (MenuID, ItemName, Category) VAL... | What is the total revenue and quantity sold for each sustainable category, including the total quantity sold, in Washington D.C. during the month of November 2021? | SELECT C.Category, SUM(M.Revenue) as Revenue, SUM(M.QuantitySold) as QuantitySold FROM Menu M JOIN MenuSales MS ON M.MenuID = MS.MenuID JOIN Restaurants R ON MS.RestaurantID = R.RestaurantID JOIN (SELECT * FROM Restaurants WHERE Location LIKE '%Washington D.C.%') C ON R.RestaurantID = C.RestaurantID WHERE MS.SaleDate >... | gretelai_synthetic_text_to_sql |
CREATE TABLE Districts (DistrictID INT, DistrictName VARCHAR(255)); CREATE TABLE Events (EventID INT, EventType VARCHAR(255), DistrictID INT, EventDate DATE); | How many community policing events occurred in each district in the last year? | SELECT DistrictName, COUNT(EventID) as EventsCount FROM Events e JOIN Districts d ON e.DistrictID = d.DistrictID WHERE EventDate >= DATEADD(year, -1, GETDATE()) AND EventType = 'Community Policing' GROUP BY DistrictName; | gretelai_synthetic_text_to_sql |
CREATE TABLE HistoricalCommodityPrices (commodity VARCHAR(20), price FLOAT, date DATE); | What was the maximum and minimum price for 'Rice' and 'Wheat' in 'HistoricalCommodityPrices' table? | SELECT commodity, MAX(price) as max_price, MIN(price) as min_price FROM HistoricalCommodityPrices WHERE commodity IN ('Rice','Wheat') GROUP BY commodity; | gretelai_synthetic_text_to_sql |
CREATE TABLE Environmental_Impact(Mine_Name TEXT, SO2_Emissions INT, Water_Consumption INT); INSERT INTO Environmental_Impact(Mine_Name, SO2_Emissions, Water_Consumption) VALUES('Tasiast', 700000, 1400000); INSERT INTO Environmental_Impact(Mine_Name, SO2_Emissions, Water_Consumption) VALUES('Katanga', 900000, 1800000); | What are the SO2 emissions for the 'Tasiast' and 'Katanga' mines? | SELECT SO2_Emissions FROM Environmental_Impact WHERE Mine_Name IN ('Tasiast', 'Katanga'); | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (well_id varchar(10), region varchar(20), production_figures int); INSERT INTO wells (well_id, region, production_figures) VALUES ('W009', 'Arctic Ocean', 2800), ('W010', 'Arctic Ocean', 3100), ('W011', 'Arctic Ocean', 2900); | What is the average production figure for all wells located in the Arctic Ocean? | SELECT AVG(production_figures) FROM wells WHERE region = 'Arctic Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE shipping_lines (shipping_line_id INT, shipping_line_name VARCHAR(50), cargo_handling_time INT); INSERT INTO shipping_lines (shipping_line_id, shipping_line_name, cargo_handling_time) VALUES (1, 'SL1', 120), (2, 'SL2', 150), (3, 'SL3', 180); | What is the average cargo handling time for each shipping line? | SELECT shipping_line_name, AVG(cargo_handling_time) FROM shipping_lines GROUP BY shipping_line_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_name VARCHAR(50), donation_amount DECIMAL(10, 2), project_name VARCHAR(50), donation_date DATE); INSERT INTO donations (id, donor_name, donation_amount, project_name, donation_date) VALUES (1, 'John Doe', 500, 'Habitat Restoration', '2020-01-01'); INSERT INTO donations (id, donor_n... | What is the total amount of donations received for the 'Habitat Restoration' project in 2020?; | SELECT SUM(donation_amount) FROM donations WHERE project_name = 'Habitat Restoration' AND YEAR(donation_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_actors (id INT, name VARCHAR); INSERT INTO threat_actors (id, name) VALUES (1, 'APT28'), (2, 'APT33'), (3, 'Lazarus Group'), (4, 'Cozy Bear'); | Insert a new threat actor 'WinterLion' with id 5 into the threat_actors table | INSERT INTO threat_actors (id, name) VALUES (5, 'WinterLion'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Defense_Projects(id INT, project_name VARCHAR(255), start_year INT, end_year INT); INSERT INTO Defense_Projects(id, project_name, start_year, end_year) VALUES (1, 'Project A', 2015, 2018), (2, 'Project B', 2016, 2019), (3, 'Project C', 2017, 2020), (4, 'Project D', 2018, 2021), (5, 'Project E', 2015, 2020)... | Update the end year of defense project 'Project F' to 2023. | UPDATE Defense_Projects SET end_year = 2023 WHERE project_name = 'Project F'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT PRIMARY KEY, name VARCHAR(255), rural BOOLEAN, num_beds INT); INSERT INTO hospitals (id, name, rural, num_beds) VALUES (1, 'Rural General Hospital', true, 50), (2, 'Urban Teaching Hospital', false, 200); CREATE TABLE medical_supplies (id INT PRIMARY KEY, hospital_id INT, name VARCHAR(255)... | What is the average quantity of medical supplies for rural hospitals? | SELECT AVG(m.quantity) FROM medical_supplies m INNER JOIN hospitals h ON m.hospital_id = h.id WHERE h.rural = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE r_and_d_expenditure_2021 (expenditure_id INT, drug_name VARCHAR(255), expenditure_date DATE, amount DECIMAL(10,2)); INSERT INTO r_and_d_expenditure_2021 (expenditure_id, drug_name, expenditure_date, amount) VALUES (1, 'DrugP', '2021-01-01', 12000), (2, 'DrugQ', '2021-01-02', 15000), (3, 'DrugR', '2021-01-0... | What is the total R&D expenditure for each drug, ranked by the highest R&D expenditure first, for the year 2021? | SELECT drug_name, SUM(amount) as total_rd_expenditure FROM r_and_d_expenditure_2021 WHERE YEAR(expenditure_date) = 2021 GROUP BY drug_name ORDER BY total_rd_expenditure DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE transaction (transaction_id INT, sector VARCHAR(255), transaction_value DECIMAL(10,2), transaction_date DATE); INSERT INTO transaction (transaction_id, sector, transaction_value, transaction_date) VALUES (1, 'retail', 100.00, '2022-07-01'), (2, 'retail', 150.00, '2022-08-01'); | What is the average transaction value in the retail sector in Q3 2022? | SELECT AVG(transaction_value) FROM transaction WHERE sector = 'retail' AND transaction_date BETWEEN '2022-07-01' AND '2022-09-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE exam_results (student_id INT, subject_area VARCHAR(50), passed BOOLEAN, exam_date DATE); INSERT INTO exam_results (student_id, subject_area, passed, exam_date) VALUES (1, 'Mathematics', true, '2021-12-01'), (2, 'Mathematics', false, '2021-11-01'), (3, 'Science', true, '2022-02-01'), (4, 'Science', false, '... | How many students have passed the exam in each subject area in the last academic year? | SELECT subject_area, COUNT(student_id) as num_students_passed FROM exam_results WHERE exam_date >= DATEADD(year, -1, CURRENT_TIMESTAMP) AND passed = true GROUP BY subject_area; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists salaries4 (id INT, industry TEXT, region TEXT, salary REAL);INSERT INTO salaries4 (id, industry, region, salary) VALUES (1, 'manufacturing', 'east', 50000), (2, 'retail', 'west', 60000), (3, 'manufacturing', 'east', 55000); | What is the average salary in the 'east' region? | SELECT AVG(salary) FROM salaries4 WHERE region = 'east'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_date DATE, salesperson VARCHAR(255), revenue FLOAT); | What is the average revenue per salesperson in Q1 2022? | SELECT salesperson, AVG(revenue) AS avg_revenue FROM sales WHERE sale_date BETWEEN '2022-01-01' AND '2022-03-31' GROUP BY salesperson; | gretelai_synthetic_text_to_sql |
CREATE TABLE VeganMaterialsBrands (brand_name TEXT, revenue INT); INSERT INTO VeganMaterialsBrands (brand_name, revenue) VALUES ('Brand1', 1000), ('Brand2', 1500), ('Brand3', 2000), ('Brand4', 2500), ('Brand5', 3000); | What is the total revenue generated by brands that use vegan materials? | SELECT SUM(revenue) as total_revenue FROM VeganMaterialsBrands WHERE brand_name IN (SELECT brand_name FROM Materials WHERE material_type = 'vegan'); | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, region VARCHAR(50), volunteer_type VARCHAR(50), registration_date DATE); INSERT INTO volunteers (id, region, volunteer_type, registration_date) VALUES (1, 'North', 'Disaster Response', '2019-12-20'), (2, 'South', 'Disaster Response', '2019-11-15'), (3, 'East', 'Disaster Response', '2020... | How many disaster response volunteers were there in each region as of January 1, 2020? | SELECT region, volunteer_type, COUNT(*) as total_volunteers FROM volunteers WHERE volunteer_type = 'Disaster Response' AND registration_date <= '2020-01-01' GROUP BY region, volunteer_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE EmployeeTraining2 (EmployeeID INT, Manager VARCHAR(50), TrainingType VARCHAR(50), CompletionDate DATE); | What is the number of employees who have completed training on unconscious bias, by manager? | SELECT Manager, COUNT(*) as Num_Employees FROM EmployeeTraining2 WHERE TrainingType = 'Unconscious Bias' GROUP BY Manager; | gretelai_synthetic_text_to_sql |
CREATE TABLE Beneficiaries (BeneficiaryID INT, BeneficiaryName VARCHAR(50), Disability BOOLEAN, Initiative VARCHAR(50), Year INT, Region VARCHAR(50)); INSERT INTO Beneficiaries VALUES (1, 'Benef1', true, 'Initiative1', 2019, 'Central America'), (2, 'Benef2', true, 'Initiative2', 2020, 'Central America'), (3, 'Benef3', ... | How many people with disabilities have benefited from technology for social good in Central America in the last 3 years? | SELECT SUM(Disability) FROM Beneficiaries WHERE Region = 'Central America' AND Year BETWEEN 2019 AND 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE ErbiumMarketPrices (quarter VARCHAR(10), year INT, price DECIMAL(5,2)); INSERT INTO ErbiumMarketPrices (quarter, year, price) VALUES ('Q2', 2019, 85.00), ('Q2', 2019, 87.50), ('Q2', 2020, 90.00), ('Q2', 2020, 92.50), ('Q2', 2021, 95.00), ('Q2', 2021, 97.50); | What was the average market price of Erbium for the second quarter of each year from 2019 to 2021? | SELECT AVG(price) FROM ErbiumMarketPrices WHERE year IN (2019, 2020, 2021) AND quarter = 'Q2'; | gretelai_synthetic_text_to_sql |
CREATE TABLE market_trends (id INT, price DECIMAL(10,2), date DATE); | Insert a new record into the 'market_trends' table for a new crude oil price of $80 per barrel | INSERT INTO market_trends (id, price, date) VALUES (1, 80, CURDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE HeritageSites (SiteID int, SiteName text); INSERT INTO HeritageSites (SiteID, SiteName) VALUES (1, 'Eiffel Tower'), (2, 'Mont Saint-Michel'), (3, 'Alhambra'); CREATE TABLE ArtHeritage (ArtID int, HeritageID int); INSERT INTO ArtHeritage (ArtID, HeritageID) VALUES (1, 1), (2, 2), (3, 3); | What are the heritage sites that do not have any associated artists? | SELECT HS.SiteName FROM HeritageSites HS LEFT JOIN ArtHeritage AH ON HS.SiteID = AH.HeritageID WHERE AH.HeritageID IS NULL; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA city; CREATE TABLE city.buses (id INT, fare DECIMAL); INSERT INTO city.buses (id, fare) VALUES (1, 2.50), (2, 1.75), (3, 3.00); | What is the minimum fare for buses in the 'city' schema, excluding fares greater than $3? | SELECT MIN(fare) FROM city.buses WHERE fare < 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (vessel_id INT, vessel_type VARCHAR(50)); CREATE TABLE containers (container_id INT, container_weight INT, vessel_id INT, shipped_date DATE); INSERT INTO vessels VALUES (1, 'Container Ship'); INSERT INTO vessels VALUES (2, 'Bulk Carrier'); INSERT INTO containers VALUES (1, 10, 1, '2022-03-01'); INS... | What is the total cargo weight transported by each vessel type in the last month, and what is the average weight per container for those shipments? | SELECT vessels.vessel_type, SUM(containers.container_weight) as total_weight, AVG(containers.container_weight) as avg_weight_per_container FROM vessels INNER JOIN containers ON vessels.vessel_id = containers.vessel_id WHERE containers.shipped_date > DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY vessels.vessel_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity (company_id INT, underrepresented_minority BOOLEAN); INSERT INTO diversity (company_id, underrepresented_minority) VALUES (1, true); INSERT INTO diversity (company_id, underrepresented_minority) VALUES (2, false); | What is the average investment amount per round for companies founded by underrepresented minorities? | SELECT AVG(raised_amount) as avg_investment_per_round FROM investments JOIN diversity ON investments.company_id = diversity.company_id WHERE diversity.underrepresented_minority = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (id INT, name VARCHAR(50), department VARCHAR(20), billable_hours DECIMAL(5,2)); INSERT INTO attorneys (id, name, department, billable_hours) VALUES (1, 'John Doe', 'criminal', 120.50); INSERT INTO attorneys (id, name, department, billable_hours) VALUES (2, 'Jane Smith', 'criminal', 150.75); | Select the average billable hours for attorneys in the 'criminal' department | SELECT AVG(billable_hours) FROM attorneys WHERE department = 'criminal'; | gretelai_synthetic_text_to_sql |
CREATE TABLE FundingSources (funding_source VARCHAR(50), amount INT, year INT); INSERT INTO FundingSources (funding_source, amount, year) VALUES ('Government Grant', 50000, 2022); INSERT INTO FundingSources (funding_source, amount, year) VALUES ('Private Donor', 25000, 2022); INSERT INTO FundingSources (funding_source,... | What is the total funding received by 'Youth Arts Initiative' in 2022? | SELECT SUM(amount) FROM FundingSources WHERE funding_source = 'Youth Arts Initiative' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_image (id INT, field_id INT, image_url TEXT, anomaly BOOLEAN, timestamp TIMESTAMP); | Insert new records into the satellite image table for the past month with no anomalies. | INSERT INTO satellite_image (field_id, image_url, anomaly, timestamp) SELECT f.id, 'https://example.com/image.jpg', false, s.timestamp FROM field f CROSS JOIN generate_series(NOW() - INTERVAL '1 month', NOW(), INTERVAL '1 day') s(timestamp); | gretelai_synthetic_text_to_sql |
CREATE TABLE production_costs (item_type VARCHAR(20), collection VARCHAR(20), cost NUMERIC(10,2)); INSERT INTO production_costs (item_type, collection, cost) VALUES ('cotton t-shirt', 'spring 2021', 15.99), ('cotton t-shirt', 'spring 2021', 17.49), ('cotton t-shirt', 'spring 2021', 16.99); | What is the average production cost of cotton t-shirts in the 'spring 2021' collection? | SELECT AVG(cost) FROM production_costs WHERE item_type = 'cotton t-shirt' AND collection = 'spring 2021'; | gretelai_synthetic_text_to_sql |
CREATE TABLE WeatherData (temp FLOAT, time DATETIME, crop VARCHAR(255)); | What is the average temperature recorded for each crop type in the past month, grouped by day? | SELECT crop, DATE(time) as day, AVG(temp) FROM WeatherData WHERE time > DATE_SUB(CURRENT_TIMESTAMP(), INTERVAL 1 MONTH) GROUP BY crop, day; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_tech_adoption (hotel_id INT, hotel_region TEXT); INSERT INTO hotel_tech_adoption (hotel_id, hotel_region) VALUES (1, 'Asia'), (2, 'Europe'), (3, 'Asia'), (4, 'North America'); | How many hotels in the 'hotel_tech_adoption' table are located in the 'Asia' region? | SELECT COUNT(*) FROM hotel_tech_adoption WHERE hotel_region = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE electric_vehicles (id INT, city VARCHAR(50), range FLOAT, timestamp TIMESTAMP); | What is the maximum range of electric vehicles in Seoul and Shanghai? | SELECT city, MAX(range) FROM electric_vehicles WHERE city IN ('Seoul', 'Shanghai') GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE produce_suppliers (supplier_id INT, name VARCHAR(50), local BOOLEAN); CREATE TABLE produce_purchases (purchase_id INT, supplier_id INT, cost DECIMAL(10,2)); INSERT INTO produce_suppliers (supplier_id, name, local) VALUES (1, 'Farm Fresh', true), (2, 'Green Fields', false), (3, 'Local Harvest', true); INSER... | What is the total cost of produce sourced from local farms? | SELECT SUM(cost) FROM produce_purchases JOIN produce_suppliers ON produce_purchases.supplier_id = produce_suppliers.supplier_id WHERE produce_suppliers.local = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE Space_Missions (Mission VARCHAR(50), Duration INT, Launch_Date DATE); INSERT INTO Space_Missions (Mission, Duration, Launch_Date) VALUES ('Mission1', 123, '2021-01-01'), ('Mission2', 456, '2021-02-01'), ('Mission3', 789, '2021-03-01'); | Determine the number of space missions launched per year, ranked by the number in descending order. | SELECT DATE_PART('year', Launch_Date) as Year, COUNT(*) as Mission_Count FROM Space_Missions GROUP BY Year ORDER BY Mission_Count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE HighwayProjectsIL (State TEXT, Year INTEGER, ProjectType TEXT, NumberOfLanes INTEGER); INSERT INTO HighwayProjectsIL (State, Year, ProjectType, NumberOfLanes) VALUES ('Illinois', 2020, 'Highway', 4), ('Illinois', 2020, 'Highway', 6), ('Illinois', 2020, 'Highway', 8), ('Illinois', 2020, 'Highway', 10); | What was the maximum and minimum number of lanes for each type of highway project in Illinois in 2020? | SELECT ProjectType, MIN(NumberOfLanes) as MinLanes, MAX(NumberOfLanes) as MaxLanes FROM HighwayProjectsIL WHERE State = 'Illinois' AND Year = 2020 GROUP BY ProjectType; | gretelai_synthetic_text_to_sql |
CREATE TABLE middle_east_patients (patient_id INT, therapy VARCHAR(20), condition VARCHAR(20)); INSERT INTO middle_east_patients (patient_id, therapy, condition) VALUES (1, 'Psychodynamic Therapy', 'Anxiety'), (2, 'CBT', 'Anxiety'), (3, 'DBT', 'Anxiety'), (4, 'NA', 'Depression'), (5, 'Psychodynamic Therapy', 'Anxiety')... | What is the most common therapy approach used in the Middle East for patients with anxiety? | SELECT therapy, COUNT(*) AS count FROM middle_east_patients WHERE condition = 'Anxiety' GROUP BY therapy ORDER BY count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID INT, DonationRegion TEXT, DonationAmount DECIMAL(10,2)); INSERT INTO Donations (DonationID, DonationRegion, DonationAmount) VALUES (1, 'Asia', 1000.00), (2, 'Africa', 1500.00), (3, 'Europe', 2000.00), (4, 'Asia', 500.00), (5, 'Africa', 800.00), (6, 'Europe', 1200.00); | What is the average donation amount per region, ordered by the highest amount? | SELECT AVG(DonationAmount) AS AvgDonation, DonationRegion FROM Donations GROUP BY DonationRegion ORDER BY AvgDonation DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE EquipmentMaintenance (id INT, type VARCHAR(255), cost FLOAT, date DATE); | Display the average monthly maintenance cost for each equipment type in the 'EquipmentMaintenance' table | SELECT type, AVG(cost) as avg_monthly_cost FROM EquipmentMaintenance WHERE date >= '2021-01-01' AND date <= '2021-12-31' GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE intel_ops (op VARCHAR(255)); INSERT INTO intel_ops (op) VALUES ('communications_surveillance'), ('communications_jamming'), ('decoy'), ('interception'), ('analysis'); | What are the intelligence operations with 'communications' in their name in the 'intel_ops' table? | SELECT op FROM intel_ops WHERE op LIKE '%communications%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE teachers (teacher_id INT, teacher_name TEXT); INSERT INTO teachers (teacher_id, teacher_name) VALUES (1, 'Alice Johnson'), (2, 'Bob Smith'); CREATE TABLE workshops (workshop_id INT, year INT, hours_spent INT, teacher_id INT); INSERT INTO workshops (workshop_id, year, hours_spent, teacher_id) VALUES (1, 202... | Who are the teachers who have not led any professional development workshops? | SELECT teacher_name FROM teachers WHERE teacher_id NOT IN (SELECT teacher_id FROM workshops); | gretelai_synthetic_text_to_sql |
CREATE TABLE GeopoliticalRiskFactors (id INT PRIMARY KEY, equipment VARCHAR(50), risk_level VARCHAR(50)); INSERT INTO GeopoliticalRiskFactors (id, equipment, risk_level) VALUES (4, 'Patriot', 'High'); INSERT INTO EquipmentSales (id, contractor, equipment, sale_date, sale_amount) VALUES (6, 'Lockheed Martin', 'Javelin',... | What is the sale amount and contractor name for each equipment type with a high geopolitical risk level? | SELECT EquipmentSales.equipment, EquipmentSales.sale_amount, EquipmentSales.contractor FROM EquipmentSales INNER JOIN GeopoliticalRiskFactors ON EquipmentSales.equipment = GeopoliticalRiskFactors.equipment WHERE GeopoliticalRiskFactors.risk_level = 'High'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Concerts (id INT, city VARCHAR(50), concert_date DATE, revenue DECIMAL(10,2)); | What's the total revenue for concerts in Q1 2022, grouped by city? | SELECT city, SUM(revenue) FROM Concerts WHERE concert_date >= '2022-01-01' AND concert_date < '2022-04-01' GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE grants (id INT, faculty_id INT, title VARCHAR(100), amount DECIMAL(10, 2)); INSERT INTO grants (id, faculty_id, title, amount) VALUES (1, 1, 'Research Grant 1', 50000), (2, 2, 'Research Grant 2', 75000), (3, 3, 'Research Grant 3', 80000); CREATE TABLE faculty (id INT, name VARCHAR(50), department VARCHAR(5... | What is the total number of research grants awarded to faculty members in the Natural Sciences department? | SELECT SUM(g.amount) FROM grants g JOIN faculty f ON g.faculty_id = f.id WHERE f.department = 'Natural Sciences'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Safety_Testing (Vehicle_ID INT, Manufacturer VARCHAR(30), Model VARCHAR(20), Safety_Rating FLOAT); | What is the average safety rating of vehicles by 'Honda' in the Safety_Testing table? | SELECT AVG(Safety_Rating) FROM Safety_Testing WHERE Manufacturer = 'Honda'; | gretelai_synthetic_text_to_sql |
CREATE TABLE news (title VARCHAR(255), author VARCHAR(255), word_count INT, category VARCHAR(255)); INSERT INTO news (title, author, word_count, category) VALUES ('Sample News', 'James Brown', 800, 'International'); | What is the minimum word count for articles in the 'international' category? | SELECT MIN(word_count) FROM news WHERE category = 'International'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_customers (customer_id INT, network_type VARCHAR(10)); INSERT INTO mobile_customers (customer_id, network_type) VALUES (1, '5G'), (2, '4G'), (3, '5G'); | What is the percentage of mobile customers using 5G in the European region? | SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM mobile_customers)) FROM mobile_customers WHERE network_type = '5G' AND country IN ('Germany', 'France', 'United Kingdom'); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (name varchar(255), region varchar(255), observations int); INSERT INTO marine_species (name, region, observations) VALUES ('Polar Bear', 'Arctic', 2500), ('Walrus', 'Arctic', 1200), ('Arctic Fox', 'Arctic', 800); | What is the total number of marine species observed in the Arctic region? | SELECT SUM(observations) FROM marine_species WHERE region = 'Arctic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, transaction_date DATE, transaction_currency VARCHAR(3), transaction_amount DECIMAL(10,2)); | What is the maximum transaction amount in GBP by day for the month of February 2022? | SELECT DATE(transaction_date) as transaction_day, MAX(transaction_amount) as maximum_transaction_amount FROM transactions WHERE transaction_date BETWEEN '2022-02-01' AND '2022-02-28' AND transaction_currency = 'GBP' GROUP BY transaction_day; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_production (id INT, company TEXT, location TEXT, waste_amount FLOAT); INSERT INTO waste_production (id, company, location, waste_amount) VALUES (1, 'Michigan Mining Co', 'Michigan', 1500); | What is the total amount of waste produced by the mining sector in the state of Michigan? | SELECT SUM(waste_amount) FROM waste_production WHERE location = 'Michigan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (VolunteerID int, VolunteerName varchar(50), ProgramID int, Hours decimal(10,2), VolunteerDate date); CREATE TABLE Programs (ProgramID int, ProgramName varchar(50), ProgramCategory varchar(50)); | Which volunteers have contributed the most hours to the 'Environment' program in 2021? | SELECT VolunteerName, SUM(Hours) as TotalHours FROM Volunteers INNER JOIN Programs ON Volunteers.ProgramID = Programs.ProgramID WHERE ProgramName = 'Environment' AND YEAR(VolunteerDate) = 2021 GROUP BY VolunteerName ORDER BY TotalHours DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteer_events (id INT, event_name TEXT, year INT, num_volunteers INT); INSERT INTO volunteer_events (id, event_name, year, num_volunteers) VALUES (1, 'Youth Mentoring Program', 2020, 120), (2, 'Feeding the Homeless', 2020, 180), (3, 'Climate Action Rally', 2020, 90); | Which community outreach events in '2020' had more than 100 volunteers? | SELECT event_name FROM volunteer_events WHERE year = 2020 AND num_volunteers > 100; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_projects(id INT, project_name VARCHAR(50), start_date DATE, end_date DATE, status VARCHAR(20)); | What is the total number of defense projects in Africa and their average duration? | SELECT 'Africa' AS continent, AVG(DATEDIFF(end_date, start_date)) AS avg_duration, COUNT(*) AS total_projects FROM defense_projects WHERE country IN (SELECT country FROM countries WHERE region = 'Africa'); | gretelai_synthetic_text_to_sql |
CREATE TABLE habitat (id INT, area FLOAT, status VARCHAR(20)); | Delete all records from the habitat table where the status is not 'Protected' | DELETE FROM habitat WHERE status != 'Protected'; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft (id INT PRIMARY KEY, name VARCHAR(50), engine VARCHAR(50), status VARCHAR(10)); | Get all spacecraft engines that are not decommissioned | SELECT engine FROM spacecraft WHERE status <> 'decommissioned'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (program_id INT, target_group VARCHAR(50), funding_amount DECIMAL(10,2), funding_date DATE); INSERT INTO Programs (program_id, target_group, funding_amount, funding_date) VALUES (1, 'youth', 5000.00, '2021-01-01'), (2, 'seniors', 7000.00, '2021-02-01'), (3, 'adults', 3000.00, '2021-03-01'); | What was the total funding received by programs targeting 'youth'? | SELECT SUM(funding_amount) AS total_funding FROM Programs WHERE target_group = 'youth'; | gretelai_synthetic_text_to_sql |
CREATE TABLE OrganicFruitsPrices (fruit_name TEXT, country TEXT, price NUMERIC); INSERT INTO OrganicFruitsPrices (fruit_name, country, price) VALUES ('Apples', 'United States', 2.95); | What is the average retail price of organic apples sold in the United States? | SELECT AVG(price) FROM OrganicFruitsPrices WHERE fruit_name = 'Apples' AND country = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mars_missions (id INT, name VARCHAR(50), launch_date DATE, number_of_launches INT, success VARCHAR(50)); | What is the minimum number of launches required for a successful Mars mission? | SELECT MIN(number_of_launches) FROM mars_missions WHERE success = 'Yes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE DonorHistory (DonorID INT, Amount DECIMAL(10,2), FirstDonation DATE); INSERT INTO DonorHistory (DonorID, Amount, FirstDonation) VALUES (1, 500.00, '2021-04-15'), (2, 300.00, '2021-03-01'), (3, 250.00, '2021-05-05'); | What is the total amount donated by new donors in the month of May 2021? | SELECT SUM(Amount) FROM DonorHistory INNER JOIN (SELECT DonorID FROM DonorHistory GROUP BY DonorID HAVING MIN(FirstDonation) >= '2021-05-01') AS NewDonors ON DonorHistory.DonorID = NewDonors.DonorID; | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_cages (id INT, farm_id INT, cage_number INT, fish_count INT); INSERT INTO fish_cages (id, farm_id, cage_number, fish_count) VALUES (1, 5, 1, 2000); INSERT INTO fish_cages (id, farm_id, cage_number, fish_count) VALUES (2, 5, 2, 3000); INSERT INTO fish_cages (id, farm_id, cage_number, fish_count) VALUES... | How many fish are there in each cage at the Canadian fish farm 'Farm Z'? | SELECT cage_number, fish_count FROM fish_cages WHERE farm_id = (SELECT id FROM fish_farms WHERE name = 'Farm Z' AND country = 'Canada' LIMIT 1); | gretelai_synthetic_text_to_sql |
CREATE TABLE EmergencyCalls (id INT, region VARCHAR(20), response_time INT, date DATE); | What is the maximum response time for emergency calls in the "north" region in the last week? | SELECT MAX(response_time) FROM EmergencyCalls WHERE region = 'north' AND date >= DATE_SUB(CURDATE(), INTERVAL 1 WEEK); | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (client_id INT PRIMARY KEY, created_date DATE); | Find the number of new clients per week for the past 3 months | SELECT DATE_FORMAT(created_date, '%Y-%u') AS week, COUNT(DISTINCT client_id) FROM clients WHERE created_date >= DATE_SUB(NOW(), INTERVAL 3 MONTH) GROUP BY week; | gretelai_synthetic_text_to_sql |
CREATE TABLE adaptation_projects (region VARCHAR(20), num_projects INT); INSERT INTO adaptation_projects (region, num_projects) VALUES ('americas', 10), ('europe', 7), ('africa', 5); | What is the total number of climate adaptation projects in the 'africa' region? | SELECT region, SUM(num_projects) FROM adaptation_projects WHERE region = 'africa' GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmer (id INT PRIMARY KEY, name VARCHAR(50), crop_id INT, country_id INT); CREATE TABLE crop (id INT PRIMARY KEY, name VARCHAR(50)); CREATE TABLE country (id INT PRIMARY KEY, name VARCHAR(50)); INSERT INTO crop (id, name) VALUES (1, 'Cassava'); INSERT INTO country (id, name) VALUES (1, 'Nigeria'), (2, 'Gh... | List all farmers who cultivate 'Cassava' and their corresponding countries. | SELECT f.name, c.name AS country_name FROM farmer f INNER JOIN crop c ON f.crop_id = c.id INNER JOIN country co ON f.country_id = co.id WHERE c.name = 'Cassava'; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_records (id INT, product_id INT, sourcing_country TEXT, incidents INT); INSERT INTO safety_records (id, product_id, sourcing_country, incidents) VALUES (1, 1, 'France', 2), (2, 2, 'Canada', 0), (3, 3, 'Germany', 1); | How many product safety incidents were reported for products sourced from France? | SELECT COUNT(*) FROM safety_records WHERE sourcing_country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE agriculture_workers (id INT, name TEXT, sector TEXT, union_member BOOLEAN); | Calculate the percentage of union workers and non-union workers in the 'agriculture' sector. | SELECT CASE WHEN union_member THEN 'Union' ELSE 'Non-Union' END as worker_type, ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM agriculture_workers), 2) as percentage FROM agriculture_workers WHERE sector = 'agriculture' GROUP BY union_member; | gretelai_synthetic_text_to_sql |
CREATE TABLE contractor_timeline (id INT, contractor_name VARCHAR(50), project_id INT, start_date DATE, end_date DATE); INSERT INTO contractor_timeline (id, contractor_name, project_id, start_date, end_date) VALUES (1, 'Smith Construction', 1, '2022-01-01', '2022-06-01'); | What is the average project timeline in months for contractors, and how many projects did they complete? | SELECT contractor_name, AVG(DATEDIFF(end_date, start_date)/30) as avg_timeline, COUNT(*) as num_projects FROM contractor_timeline GROUP BY contractor_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE News (news_id INT, title VARCHAR(255), publication_date DATE, author VARCHAR(255), independent_author BOOLEAN); INSERT INTO News (news_id, title, publication_date, author, independent_author) VALUES (1, 'News1', '2021-01-01', 'Author1', TRUE), (2, 'News2', '2021-02-10', 'Author2', FALSE), (3, 'News3', '202... | What is the total number of articles published by independent authors in the last year? | SELECT SUM(independent_author) FROM News WHERE independent_author = TRUE AND publication_date >= DATE_SUB(CURDATE(), INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (name TEXT, funding FLOAT); INSERT INTO startups (name, funding) VALUES ('StartupA', 5000000), ('StartupB', 7000000), ('StartupC', 6000000); | What is the maximum funding received by a biotech startup? | SELECT MAX(funding) FROM startups; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists continent (id INT, continent VARCHAR(20)); INSERT INTO continent (id, continent) VALUES (1, 'Africa'), (2, 'Asia'), (3, 'Europe'), (4, 'North America'), (5, 'South America'), (6, 'Oceania'); CREATE TABLE if not exists trips (id INT, trip_id INT, continent_id INT, duration INT); | What is the average trip duration for each continent? | SELECT c.continent, AVG(t.duration) FROM trips t JOIN continent c ON t.continent_id = c.id GROUP BY c.continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryInnovation (Year INT, Funding FLOAT); INSERT INTO MilitaryInnovation (Year, Funding) VALUES (2015, 12000000); | What was the total military innovation funding in 2015? | SELECT Funding FROM MilitaryInnovation WHERE Year = 2015; | gretelai_synthetic_text_to_sql |
CREATE TABLE trends_by_region (id INT PRIMARY KEY, region VARCHAR(255), trend_name VARCHAR(255), popularity_score INT); | Show the average popularity score for each region in 'trends_by_region' table | SELECT region, AVG(popularity_score) FROM trends_by_region GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE startup (id INT, name VARCHAR(100), industry VARCHAR(50), founder_native_american VARCHAR(3), funding FLOAT); INSERT INTO startup VALUES (1, 'StartupA', 'Agriculture', 'Yes', 1000000); INSERT INTO startup VALUES (2, 'StartupB', 'Tech', 'No', 7000000); INSERT INTO startup VALUES (3, 'StartupC', 'Agriculture... | What is the total funding amount for startups founded by individuals who identify as Native American in the agriculture sector? | SELECT SUM(funding) FROM startup WHERE founder_native_american = 'Yes' AND industry = 'Agriculture'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Claims (Claim_Amount NUMERIC, City TEXT); INSERT INTO Claims (Claim_Amount, City) VALUES (2500, 'New York'), (3000, 'Los Angeles'), (2000, 'San Francisco'), (1500, 'New York'); | What is the maximum claim amount for each city? | SELECT City, MAX(Claim_Amount) FROM Claims GROUP BY City; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id int, data_usage float, city varchar(20), subscription_type varchar(10)); INSERT INTO mobile_subscribers (subscriber_id, data_usage, city, subscription_type) VALUES (1, 3000, 'Seattle', 'postpaid'), (2, 4000, 'New York', 'postpaid'), (3, 2500, 'Seattle', 'prepaid'); CREATE ... | List the top 5 cities with the highest average monthly data usage for prepaid mobile customers. | SELECT city, AVG(data_usage) FROM mobile_subscribers WHERE subscription_type = 'prepaid' GROUP BY city ORDER BY AVG(data_usage) DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE ota (ota_id INT, ota_name TEXT, region TEXT, virtual_tour TEXT, engagements INT); INSERT INTO ota (ota_id, ota_name, region, virtual_tour, engagements) VALUES (1, 'TravelEase', 'Asia', 'yes', 10000), (2, 'VoyagePlus', 'Europe', 'yes', 12000), (3, 'ExploreNow', 'Asia', 'no', 8000); | Which online travel agencies (OTAs) have the highest number of virtual tour engagements in Asia? | SELECT ota_name, MAX(engagements) FROM ota WHERE region = 'Asia' AND virtual_tour = 'yes' GROUP BY ota_name | gretelai_synthetic_text_to_sql |
CREATE TABLE financial_capability (id INT, name VARCHAR(20), score INT); INSERT INTO financial_capability (id, name, score) VALUES (1, 'JohnDoe', 70), (2, 'JaneDoe', 85), (3, 'MikeSmith', 90); | Update the financial capability score of 'JohnDoe' to 80 in the 'financial_capability' table. | UPDATE financial_capability SET score = 80 WHERE name = 'JohnDoe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy_world (plant_id INT, location VARCHAR(100), capacity FLOAT); INSERT INTO renewable_energy_world VALUES (1, 'USA', 500), (2, 'Canada', 700), (3, 'Mexico', 600), (4, 'Brazil', 800), (5, 'India', 900); | What is the total installed capacity of renewable energy in the world? | SELECT SUM(capacity) as total_capacity FROM renewable_energy_world; | gretelai_synthetic_text_to_sql |
CREATE TABLE travel_advisories (id INT, country TEXT, region TEXT, advisory TEXT, date DATE); | Insert a new travel advisory for Mexico into the travel_advisories table. | INSERT INTO travel_advisories (country, advisory) VALUES ('Mexico', 'Exercise caution due to increased crime rates.'); | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, name VARCHAR(50), department VARCHAR(50)); INSERT INTO employees (id, name, department) VALUES (1, 'John Doe', 'manufacturing'), (2, 'Jane Smith', 'engineering'), (3, 'Alice Johnson', 'manufacturing'); | Find the total number of employees in the "manufacturing" department | SELECT COUNT(*) FROM employees WHERE department = 'manufacturing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (id INT, name TEXT, category TEXT, price DECIMAL(5,2), city TEXT); INSERT INTO events (id, name, category, price, city) VALUES (1, 'Concert', 'music', 50.00, 'New York'), (2, 'Jazz Festival', 'music', 35.00, 'Chicago'), (3, 'Rock Concert', 'music', 60.00, 'Los Angeles'); | What is the average ticket price for events in the 'music' category, sorted by city? | SELECT city, AVG(price) as avg_price FROM events WHERE category = 'music' GROUP BY city ORDER BY avg_price; | gretelai_synthetic_text_to_sql |
CREATE TABLE emergency_incidents_fl (id INT, city VARCHAR(255), incident_type VARCHAR(255), reported_date DATE); | What is the total number of emergency incidents reported in each city in the state of Florida by type? | SELECT city, incident_type, COUNT(*) as total_incidents FROM emergency_incidents_fl GROUP BY city, incident_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, is_circular BOOLEAN, country VARCHAR(20), quantity INT); INSERT INTO products (product_id, is_circular, country, quantity) VALUES (1, true, 'Developing', 10), (2, false, 'Developed', 20), (3, true, 'Developing', 30); | What is the minimum quantity of a product that is part of a circular supply chain and is produced in a developing country? | SELECT MIN(products.quantity) FROM products WHERE products.is_circular = true AND products.country = 'Developing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE TV_Shows (show_id INT PRIMARY KEY, name VARCHAR(100), genre VARCHAR(50), release_year INT, seasons INT); INSERT INTO TV_Shows (show_id, name, genre, release_year, seasons) VALUES (1, 'Friends', 'Comedy', 1994, 10), (2, 'The Witcher', 'Fantasy', 2019, 1); | Delete the TV show 'Friends' from the 'TV_Shows' table if it has less than 6 seasons. | DELETE FROM TV_Shows WHERE name = 'Friends' AND seasons < 6; | gretelai_synthetic_text_to_sql |
CREATE TABLE shipment (shipment_id VARCHAR(10), status VARCHAR(20), warehouse_id VARCHAR(10), carrier_name VARCHAR(30), shipped_date DATE); | Get the status and count of shipments for each warehouse_id from the shipment table grouped by status and warehouse_id | SELECT status, warehouse_id, COUNT(*) as count FROM shipment GROUP BY status, warehouse_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE fans (name VARCHAR(50), city VARCHAR(30), tickets_purchased INT); INSERT INTO fans (name, city, tickets_purchased) VALUES ('Alice', 'New York', 5), ('Bob', 'Los Angeles', 3); | What is the minimum and maximum number of tickets purchased by fans in the 'fans' table for each city? | SELECT city, MIN(tickets_purchased) AS min_tickets, MAX(tickets_purchased) AS max_tickets FROM fans GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_development (id INT, region VARCHAR(255), gender VARCHAR(255), initiative_count INT, year INT); INSERT INTO community_development (id, region, gender, initiative_count, year) VALUES (1, 'Latin America', 'Female', 250, 2021), (2, 'Latin America', 'Male', 180, 2021), (3, 'Africa', 'Female', 300, 20... | Number of community development initiatives, by region and gender, for the year 2021? | SELECT region, gender, SUM(initiative_count) as total_initiative_count FROM community_development WHERE year = 2021 GROUP BY region, gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE WindFarms (id INT, country VARCHAR(20), capacity FLOAT); INSERT INTO WindFarms (id, country, capacity) VALUES (1, 'Germany', 6.2), (2, 'Germany', 4.8), (3, 'Spain', 5.5); | How many wind farms are there in Germany with a capacity greater than 5 MW? | SELECT COUNT(*) FROM WindFarms WHERE country = 'Germany' AND capacity > 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (project_name VARCHAR(50), country VARCHAR(50), renewable_energy_source VARCHAR(50)); INSERT INTO green_buildings (project_name, country, renewable_energy_source) VALUES ('ProjectD', 'US', 'Solar'); | Update the renewable energy source for 'ProjectD' in the US to 'Geothermal'. | UPDATE green_buildings SET renewable_energy_source = 'Geothermal' WHERE project_name = 'ProjectD' AND country = 'US'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpaceDebris (id INT PRIMARY KEY, name VARCHAR(255), type VARCHAR(255), mass FLOAT, orbit_date DATE); | What is the total mass of space debris in orbit around Earth? | SELECT SUM(mass) as total_mass FROM SpaceDebris WHERE orbit_date = (SELECT MAX(orbit_date) FROM SpaceDebris); | gretelai_synthetic_text_to_sql |
CREATE TABLE Games (GameID INT, Title VARCHAR(50), Genre VARCHAR(20), Platform VARCHAR(10)); CREATE TABLE VRGames (GameID INT, Designer VARCHAR(50)); INSERT INTO Games (GameID, Title, Genre, Platform) VALUES (1, 'CyberSphere', 'Action', 'PC'); INSERT INTO VRGames (GameID, Designer) VALUES (1, 'John Doe'); | List all virtual reality (VR) games and their designers. | SELECT Games.Title, VRGames.Designer FROM Games INNER JOIN VRGames ON Games.GameID = VRGames.GameID WHERE Games.Platform = 'VR'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, restaurant_id INT, sale_date DATE, sales DECIMAL(10,2)); CREATE VIEW day_sales AS SELECT restaurant_id, EXTRACT(DOW FROM sale_date) as day_of_week, SUM(sales) as total_sales FROM sales GROUP BY restaurant_id, day_of_week; | What is the revenue by day of the week for all restaurants? | SELECT d.day_of_week, SUM(ds.total_sales) as total_sales FROM day_sales ds JOIN day_sales d ON ds.day_of_week = d.day_of_week GROUP BY d.day_of_week; | gretelai_synthetic_text_to_sql |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.