context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE clean_energy_policies_oceania (id INT, policy VARCHAR(50), region VARCHAR(50)); INSERT INTO clean_energy_policies_oceania (id, policy, region) VALUES (1, 'Renewable Energy Target', 'oceania'), (2, 'Carbon Price', 'oceania'), (3, 'Feed-in Tariff', 'oceania'); | What is the number of clean energy policies in the 'oceania' region, ranked in descending order? | SELECT region, COUNT(policy) as total_policies FROM clean_energy_policies_oceania WHERE region = 'oceania' GROUP BY region ORDER BY total_policies DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE FestivalRevenue (region VARCHAR(255), year INT, revenue FLOAT); | What is the total revenue from music festivals in Europe in 2021? | SELECT SUM(revenue) FROM FestivalRevenue WHERE region = 'Europe' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels(Id INT, Name VARCHAR(255), AverageSpeed DECIMAL(5,2)); INSERT INTO Vessels VALUES (1, 'VesselA', 15.5), (2, 'CoastalCruiser', 18.3), (3, 'VesselC', 20.2); | What is the average speed in knots for the vessel 'CoastalCruiser'? | SELECT AVG(v.AverageSpeed) FROM Vessels v WHERE v.Name = 'CoastalCruiser'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_safety_initiatives (country TEXT, initiative_name TEXT); CREATE TABLE countries (country TEXT, continent TEXT); | List all countries with their respective AI safety initiatives count. | SELECT c.country, COUNT(ai_safety_initiatives.country) FROM countries c LEFT JOIN ai_safety_initiatives ON c.country = ai_safety_initiatives.country GROUP BY c.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE SafetyPapers (id INT, title VARCHAR(255), year INT); | What are the names of all AI safety research papers that were published in the year 2020? | SELECT title FROM SafetyPapers WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE Streaming (id INT, artist VARCHAR(50), streams INT, country VARCHAR(50)); INSERT INTO Streaming (id, artist, streams, country) VALUES (1, 'Arijit Singh', 1500000, 'India'), (2, 'Shreya Ghoshal', 1200000, 'India'), (3, 'Badshah', 1000000, 'India'); | What is the minimum number of streams for any artist from India? | SELECT MIN(streams) FROM Streaming WHERE country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE accidents (accident_id INT, aircraft_model VARCHAR(50), num_injuries INT, accident_year INT); INSERT INTO accidents (accident_id, aircraft_model, num_injuries, accident_year) VALUES (1, 'Airbus A320', 20, 2010), (2, 'Airbus A330', 30, 2011), (3, 'Airbus A340', 10, 2012), (4, 'Airbus A350', 5, 2013), (5, 'A... | What is the average number of injuries in Airbus aircraft accidents since 2010? | SELECT AVG(num_injuries) FROM accidents WHERE aircraft_model LIKE 'Airbus%' AND accident_year >= 2010; | gretelai_synthetic_text_to_sql |
CREATE TABLE loans (id INT, employee_id INT, amount INT, is_shariah_compliant BOOLEAN, financial_wellbeing_score INT); INSERT INTO loans (id, employee_id, amount, is_shariah_compliant, financial_wellbeing_score) VALUES (1, 2, 25000, TRUE, 7), (2, 2, 40000, TRUE, 9), (3, 3, 50000, FALSE, 8); | Find the average financial wellbeing score for Shariah-compliant loans in Florida? | SELECT AVG(loans.financial_wellbeing_score) FROM loans WHERE loans.is_shariah_compliant = TRUE AND loans.id IN (SELECT loan_id FROM customers WHERE customers.city = 'Florida'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Finance (country VARCHAR(255)); INSERT INTO Finance VALUES ('Country1'), ('Country2'), ('Country3'); CREATE TABLE Communication (country VARCHAR(255)); INSERT INTO Communication VALUES ('Country1'), ('Country3'), ('Country4'); | List all unique countries involved in "Finance" projects that don't have any "Communication" projects in the same countries. | SELECT Finance.country FROM Finance WHERE Finance.country NOT IN (SELECT Communication.country FROM Communication) | gretelai_synthetic_text_to_sql |
CREATE TABLE Menu (item_id INT, name VARCHAR(50), has_meat BOOLEAN, has_dairy BOOLEAN); INSERT INTO Menu (item_id, name, has_meat, has_dairy) VALUES (1, 'Cheese Pizza', true, true), (2, 'Garden Salad', false, false), (3, 'Vegan Pizza', false, false); | How many menu items contain both meat and dairy products? | SELECT COUNT(*) FROM Menu WHERE has_meat = true AND has_dairy = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE Chemicals (id INT, name VARCHAR(255), max_safe_pressure FLOAT); CREATE TABLE Storage (id INT, chemical_id INT, facility_id INT, storage_date DATE); | What is the maximum safe pressure for each chemical stored at a specific facility? | SELECT Chemicals.name, Chemicals.max_safe_pressure FROM Chemicals INNER JOIN Storage ON Chemicals.id = Storage.chemical_id WHERE Storage.facility_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE garment_suppliers(supplier_id INT, country VARCHAR(255), lead_time FLOAT); INSERT INTO garment_suppliers(supplier_id, country, lead_time) VALUES (1, 'Bangladesh', 60.5), (2, 'China', 45.3), (3, 'Vietnam', 52.7); | What is the average lead time for each country of garment suppliers? | SELECT country, AVG(lead_time) FROM garment_suppliers GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE MentalHealthParityRace (ViolationID INT, Race VARCHAR(255), ViolationDate DATE); INSERT INTO MentalHealthParityRace (ViolationID, Race, ViolationDate) VALUES (1, 'Hispanic', '2022-01-01'), (2, 'African American', '2022-02-01'), (3, 'Hispanic', '2022-03-01'); | How many mental health parity violations were reported by race? | SELECT Race, COUNT(*) as ViolationCount FROM MentalHealthParityRace GROUP BY Race; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (id INT, name VARCHAR(100), sector VARCHAR(50), ESG_score FLOAT); INSERT INTO organizations (id, name, sector, ESG_score) VALUES (1, 'Tesla', 'Technology', 85.0), (2, 'Microsoft', 'Technology', 82.5), (3, 'IBM', 'Technology', 80.0); | What is the average ESG score for organizations in the technology sector? | SELECT AVG(ESG_score) FROM organizations WHERE sector = 'Technology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellites (id INT, name TEXT, country TEXT, launch_date DATE); INSERT INTO satellites (id, name, country, launch_date) VALUES (1, 'Himawari-8', 'Japan', '2014-10-07'); INSERT INTO satellites (id, name, country, launch_date) VALUES (2, 'GCOM-W1', 'Japan', '2012-05-18'); | List the names and launch dates of satellites from Japan | SELECT name, launch_date FROM satellites WHERE country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE affordable_housing (community_id INT, property_id INT, price DECIMAL(10,2)); INSERT INTO affordable_housing (community_id, property_id, price) VALUES (1, 111, 200000.00), (1, 112, 215000.00), (2, 221, 185000.00); | What's the minimum property price in affordable housing areas? | SELECT MIN(price) FROM affordable_housing; | gretelai_synthetic_text_to_sql |
CREATE TABLE Satellite_Imagery_Analysis (id INT, analysis_type VARCHAR(50), Farm_id INT); INSERT INTO Satellite_Imagery_Analysis (id, analysis_type, Farm_id) VALUES (1, 'NDVI', 1), (2, 'EVI', 2), (3, 'SAVI', 3); | List all distinct satellite imagery analysis types performed in the USA and Australia. | SELECT DISTINCT analysis_type FROM Satellite_Imagery_Analysis WHERE Farm_id IN (SELECT id FROM Farmers WHERE country IN ('USA', 'Australia')); | gretelai_synthetic_text_to_sql |
CREATE TABLE ev_adoption_stats (id INT, city VARCHAR, state VARCHAR, num_evs INT); | List the top 3 cities with the most electric vehicle adoption in the 'ev_adoption_stats' table. | SELECT city, state, num_evs, RANK() OVER (PARTITION BY state ORDER BY num_evs DESC) as rank FROM ev_adoption_stats WHERE rank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE species_data (species_id INT, species_name VARCHAR(255), biomass FLOAT); INSERT INTO species_data (species_id, species_name, biomass) VALUES (1, 'polar_bear', 800.0), (2, 'arctic_fox', 15.0), (3, 'caribou', 220.0), (4, 'lemming', 5.0); | Delete records with a biomass value lower than 10 in the 'species_data' table. | DELETE FROM species_data WHERE biomass < 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityCenters (CenterID INT, CenterName VARCHAR(50)); CREATE TABLE LanguageCourses (CourseID INT, CourseName VARCHAR(50), CenterID INT); INSERT INTO CommunityCenters VALUES (1, 'CenterA'), (2, 'CenterB'), (3, 'CenterC'); INSERT INTO LanguageCourses VALUES (1, 'Spanish', 1), (2, 'French', 1), (3, 'Spanis... | What is the total number of language courses offered per community center? | SELECT CC.CenterName, COUNT(LC.CourseID) AS TotalCourses FROM CommunityCenters CC JOIN LanguageCourses LC ON CC.CenterID = LC.CenterID GROUP BY CC.CenterName; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists bike_trips (id INT, city VARCHAR(20), num_trips INT); INSERT INTO bike_trips (id, city, num_trips) VALUES (1, 'Beijing', 10000), (2, 'Shanghai', 8000); | What is the total number of bike-sharing trips in Beijing? | SELECT num_trips FROM bike_trips WHERE city = 'Beijing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tourism_italy (location TEXT, year INT, revenue INT); INSERT INTO virtual_tourism_italy (location, year, revenue) VALUES ('Rome', 2022, 1200000), ('Rome', 2023, 1400000); | What is the virtual tourism revenue in Rome for 2022? | SELECT revenue FROM virtual_tourism_italy WHERE location = 'Rome' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE Garments (id INT, name VARCHAR(255), category VARCHAR(255), color VARCHAR(255), size VARCHAR(10), price DECIMAL(5, 2)); | Update the color of all garments in the 'Tops' category to 'Red' | UPDATE Garments SET color = 'Red' WHERE category = 'Tops'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wastewater_treatment (region VARCHAR(255), year INT, treated_volume INT); INSERT INTO wastewater_treatment (region, year, treated_volume) VALUES ('North', 2018, 4000), ('North', 2019, 4500), ('South', 2018, 4800), ('South', 2019, 5200); CREATE TABLE drought_info (region VARCHAR(255), year INT, severity INT... | What is the total volume of wastewater treated in regions that experienced a drought in 2018? | SELECT SUM(w.treated_volume) FROM wastewater_treatment w JOIN drought_info d ON w.region = d.region WHERE w.year = 2018 AND d.severity > 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE SharedMobilityNYC (id INT, program VARCHAR(20), num_vehicles INT, agency VARCHAR(20)); | Insert new records of shared mobility programs in NYC. | INSERT INTO SharedMobilityNYC (id, program, num_vehicles, agency) VALUES (1, 'CitiBike NYC', 1000, 'NYC DOT'), (2, 'Revel NYC', 500, 'NYC DOT'), (3, 'Via NYC', 200, 'NYC DOT'), (4, 'Lyft Bikes NYC', 300, 'NYC DOT'); | gretelai_synthetic_text_to_sql |
CREATE TABLE concert_ticket_sales (ticket_id INT, song_id INT, quantity INT, price FLOAT, city_id INT, sale_date DATE); | What is the average ticket price per city in 'concert_ticket_sales' table? | SELECT city_id, AVG(price) as avg_price FROM concert_ticket_sales GROUP BY city_id; | gretelai_synthetic_text_to_sql |
use rural_health; CREATE TABLE hospital_specialists (id int, hospital_id int, specialist text); INSERT INTO hospital_specialists (id, hospital_id, specialist) VALUES (1, 1, 'Cardiologist'); INSERT INTO hospital_specialists (id, hospital_id, specialist) VALUES (2, 1, 'Dermatologist'); INSERT INTO hospital_specialists (i... | What is the distribution of medical specialists by rural hospital? | SELECT hospital_id, specialist, COUNT(*) as count FROM rural_health.hospital_specialists GROUP BY hospital_id, specialist; | gretelai_synthetic_text_to_sql |
CREATE TABLE CHWTraining (CHWId INT, TrainingYear INT, Region VARCHAR(255)); INSERT INTO CHWTraining (CHWId, TrainingYear, Region) VALUES (1, 2018, 'North'); INSERT INTO CHWTraining (CHWId, TrainingYear, Region) VALUES (2, 2019, 'South'); INSERT INTO CHWTraining (CHWId, TrainingYear, Region) VALUES (3, 2020, 'East'); I... | How many community health workers have been trained in each region in the last 5 years? | SELECT Region, COUNT(*) FROM CHWTraining WHERE TrainingYear BETWEEN 2018 AND 2022 GROUP BY Region; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions_4 (id INT, customer_id INT, amount DECIMAL(10,2), tx_date DATE, country VARCHAR(255)); INSERT INTO transactions_4 (id, customer_id, amount, tx_date, country) VALUES (1, 1, 100.00, '2022-01-01', 'India'), (2, 2, 50.00, '2022-01-01', 'USA'), (3, 3, 200.00, '2022-01-02', 'Canada'), (4, 1, 300.00,... | Find the transaction dates and the total transaction amount for transactions made by customers residing in India. | SELECT tx_date, SUM(amount) as total_transaction_amount FROM transactions_4 WHERE country = 'India' GROUP BY tx_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_generation (city VARCHAR(20), year INT, daily_waste_generation FLOAT);INSERT INTO waste_generation (city, year, daily_waste_generation) VALUES ('San Francisco', 2019, 3.2), ('San Francisco', 2020, 3.5), ('San Francisco', 2021, 3.7), ('Oakland', 2019, 2.8), ('Oakland', 2020, 3.1), ('Oakland', 2021, 3.... | Calculate the average daily waste generation rate for the city of San Francisco in the year 2020 | SELECT AVG(daily_waste_generation) FROM waste_generation WHERE city = 'San Francisco' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE RuralHealthFacility10 (patient_id INT, patient_name VARCHAR(50), age INT, diagnosis VARCHAR(20)); INSERT INTO RuralHealthFacility10 (patient_id, patient_name, age, diagnosis) VALUES (22, 'Penny', 42, 'diabetes'), (23, 'Quentin', NULL, 'hypertension'), (24, 'Rosa', 47, NULL); | Delete records of patients without a diagnosis in 'RuralHealthFacility10'. | DELETE FROM RuralHealthFacility10 WHERE diagnosis IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE Claims (ClaimID INT, PolicyID INT, ClaimAmount DECIMAL(10,2)); CREATE TABLE Policy (PolicyID INT, PolicyType VARCHAR(20), Country VARCHAR(20)); INSERT INTO Claims (ClaimID, PolicyID, ClaimAmount) VALUES (1, 1, 1500.00), (2, 2, 250.00), (3, 3, 500.00), (4, 1, 1000.00); INSERT INTO Policy (PolicyID, PolicyTy... | What is the average claim amount for each policy type, excluding policy types with fewer than 3 policies in the United Kingdom? | SELECT Policy.PolicyType, AVG(Claims.ClaimAmount) AS AvgClaimAmount FROM Policy INNER JOIN Claims ON Policy.PolicyID = Claims.PolicyID WHERE Policy.Country = 'UK' GROUP BY Policy.PolicyType HAVING COUNT(DISTINCT Policy.PolicyID) >= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE MakeupProducts(productID INT, productName VARCHAR(50), price DECIMAL(5,2), isVegan BOOLEAN, country VARCHAR(50)); INSERT INTO MakeupProducts(productID, productName, price, isVegan, country) VALUES (1, 'Red Lipstick', 32.99, FALSE, 'US'), (2, 'Black Mascara', 19.99, TRUE, 'Germany'), (3, 'Brown Eyeshadow', ... | What is the maximum price of vegan makeup products sold in Germany? | SELECT MAX(price) FROM MakeupProducts WHERE country = 'Germany' AND isVegan = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_driving_tests (id INT PRIMARY KEY, company VARCHAR(255), test_location VARCHAR(255), test_date DATE, safety_rating INT); | Add a new safety testing record for 'Cruise Automation' in the 'autonomous_driving_tests' table | INSERT INTO autonomous_driving_tests (company, test_location, test_date, safety_rating) VALUES ('Cruise Automation', 'San Francisco', '2023-01-05', 95); | gretelai_synthetic_text_to_sql |
CREATE TABLE zinc_mines (id INT, name TEXT, location TEXT, zinc_production INT); INSERT INTO zinc_mines (id, name, location, zinc_production) VALUES (1, 'Antamina', 'Ancash, Peru', 560000), (2, 'Cerro Verde', 'Arequipa, Peru', 480000), (3, 'Tara', 'Junin, Peru', 340000); | What is the sum of zinc produced by mines in Peru? | SELECT SUM(zinc_production) FROM zinc_mines WHERE location LIKE '%Peru%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tours(id INT, name TEXT, eco_friendly BOOLEAN, revenue FLOAT); INSERT INTO tours (id, name, eco_friendly, revenue) VALUES (1, 'Amazon Rainforest Tour', TRUE, 5000), (2, 'City Bus Tour', FALSE, 2000), (3, 'Solar Powered Bike Tour', TRUE, 3000); | How many eco-friendly tours are there in total? | SELECT COUNT(*) FROM tours WHERE eco_friendly = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (id INT, crop VARCHAR(255), country VARCHAR(255), quantity INT); INSERT INTO production (id, crop, country, quantity) VALUES (1, 'wheat', 'USA', 5000000), (2, 'wheat', 'Canada', 3000000), (3, 'rice', 'China', 8000000), (4, 'wheat', 'Australia', 2500000); | Identify the top 3 countries with the highest wheat production in the 'agriculture' database. | SELECT country, SUM(quantity) as total_production FROM production WHERE crop = 'wheat' GROUP BY country ORDER BY total_production DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE animal_habitat (habitat_id INT, habitat_name VARCHAR(50), animal_name VARCHAR(50), acres FLOAT); INSERT INTO animal_habitat (habitat_id, habitat_name, animal_name, acres) VALUES (1, 'African Savannah', 'Lion', 5000.0), (2, 'Asian Rainforest', 'Tiger', 2000.0), (3, 'African Rainforest', 'Elephant', 3000.0); | What is the total number of acres of habitat for each animal species in the 'animal_habitat' table? | SELECT animal_name, SUM(acres) FROM animal_habitat GROUP BY animal_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farm (id INT, name VARCHAR(50), country VARCHAR(50)); CREATE TABLE Species (id INT, name VARCHAR(50), scientific_name VARCHAR(50)); CREATE TABLE FarmSpecies (farm_id INT, species_id INT, biomass INT); | Calculate the total biomass of fish in all aquaculture farms, categorized by the farm's country. | SELECT f.country, SUM(fs.biomass) FROM Farm f JOIN FarmSpecies fs ON f.id = fs.farm_id GROUP BY f.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE WastewaterTreatment (record_id INT, treatment_date DATE, region VARCHAR(20)); INSERT INTO WastewaterTreatment (record_id, treatment_date, region) VALUES (1, '2019-01-01', 'RegionA'), (2, '2021-05-03', 'RegionB'), (3, '2018-07-15', 'RegionC'); | Update wastewater treatment records with treatment_date in 2022 in 'WastewaterTreatment' table? | UPDATE WastewaterTreatment SET treatment_date = '2022-01-01' WHERE record_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholders (PolicyholderID INT, Country VARCHAR(50), Cancelled BOOLEAN, FirstMonth BOOLEAN); INSERT INTO Policyholders VALUES (1, 'Mexico', TRUE, TRUE); INSERT INTO Policyholders VALUES (2, 'Mexico', FALSE, TRUE); INSERT INTO Policyholders VALUES (3, 'Mexico', FALSE, FALSE); | What is the policy cancellation rate for policyholders from Mexico, calculated as the percentage of policyholders who cancelled their policies within the first month? | SELECT COUNT(*) * 100.0 / SUM(CASE WHEN FirstMonth THEN 1 ELSE 0 END) AS PolicyCancellationRate FROM Policyholders WHERE Country = 'Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (event_id INT, team_id INT, num_fans INT); | What is the maximum number of fans in the 'events' table? | SELECT MAX(num_fans) FROM events; | gretelai_synthetic_text_to_sql |
CREATE TABLE ExcavationSites (SiteID int, SiteName varchar(50), Location varchar(50)); CREATE TABLE Artifacts (ArtifactID int, SiteID int, Age varchar(20), Description varchar(100)); | What are the names and locations of all excavation sites that have yielded bronze age artifacts? | SELECT ExcavationSites.SiteName, ExcavationSites.Location FROM ExcavationSites INNER JOIN Artifacts ON ExcavationSites.SiteID = Artifacts.SiteID WHERE Artifacts.Age = 'Bronze Age'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Roads (id INT, name TEXT, length REAL, intersects_river BOOLEAN); INSERT INTO Roads (id, name, length, intersects_river) VALUES (1, 'I-5', 1381.5, TRUE), (2, 'I-80', 2899.8, FALSE), (3, 'I-90', 3020.5, FALSE); | What is the total length of all the roads in the road network that intersect with a river? | SELECT SUM(length) FROM Roads WHERE intersects_river = TRUE | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, initiative TEXT, country TEXT, investment FLOAT); INSERT INTO investments (id, initiative, country, investment) VALUES (1, 'Training', 'Nigeria', 50000), (2, 'Workshop', 'South Africa', 75000); | What is the total investment in community development initiatives in Nigeria and South Africa? | SELECT SUM(investment) FROM investments WHERE country IN ('Nigeria', 'South Africa'); | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_efficiency (id INT, appliance TEXT, country TEXT, rating FLOAT); INSERT INTO energy_efficiency (id, appliance, country, rating) VALUES (1, 'Fridge', 'Japan', 5.0), (2, 'TV', 'Japan', 4.5); | What is the maximum energy efficiency rating of appliances in Japan? | SELECT MAX(rating) FROM energy_efficiency WHERE country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ModernArtMuseum(id INT, type VARCHAR(20), artist VARCHAR(30)); CREATE TABLE ContemporaryArtGallery(id INT, type VARCHAR(20), artist VARCHAR(30)); INSERT INTO ModernArtMuseum(id, type, artist) VALUES (1, 'Painting', 'Matisse'), (2, 'Sculpture', 'Brancusi'), (3, 'Painting', 'Miro'); INSERT INTO ContemporaryA... | What is the difference in the number of art pieces between the Modern Art Museum and the Contemporary Art Gallery? | SELECT COUNT(*) FROM ModernArtMuseum.artpieces EXCEPT SELECT COUNT(*) FROM ContemporaryArtGallery.artpieces; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurant (id INT, name VARCHAR(50), city VARCHAR(50), is_vegan BOOLEAN, is_gluten_free BOOLEAN); INSERT INTO Restaurant (id, name, city, is_vegan, is_gluten_free) VALUES (1, 'Vegan Vibes', 'Seattle', TRUE, TRUE); INSERT INTO Restaurant (id, name, city, is_vegan, is_gluten_free) VALUES (2, 'Plant-Based Pi... | List the names and cities of vegan restaurants with gluten-free options. | SELECT name, city FROM Restaurant WHERE is_vegan = TRUE AND is_gluten_free = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_sales (id INT, region VARCHAR, sale_value DECIMAL, sale_date DATE); INSERT INTO military_sales (id, region, sale_value, sale_date) VALUES (1, 'Japan', 12000, '2019-07-14'); INSERT INTO military_sales (id, region, sale_value, sale_date) VALUES (2, 'Japan', 15000, '2019-09-28'); INSERT INTO military... | What was the total number of military equipment sales to Japan in Q3 2019? | SELECT SUM(sale_value) FROM military_sales WHERE region = 'Japan' AND sale_date BETWEEN '2019-07-01' AND '2019-09-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_image_analysis (image_id INT, image_timestamp TIMESTAMP, cloud_cover FLOAT, rainfall_probability FLOAT); | Delete records from the "satellite_image_analysis" table where the "image_timestamp" is before '2022-01-01' | DELETE FROM satellite_image_analysis WHERE image_timestamp < '2022-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Renewable_Energy (Company VARCHAR(255), Year INT, Solar_Energy FLOAT, Wind_Energy FLOAT); INSERT INTO Renewable_Energy (Company, Year, Solar_Energy, Wind_Energy) VALUES ('DEF Mining', 2017, 15.5, 16.6), ('GHI Mining', 2018, 17.7, 18.8); CREATE TABLE Emissions (Company VARCHAR(255), Year INT, CO2_Emissions ... | What is the average renewable energy consumption and CO2 emissions for companies in the mining industry? | SELECT R.Company, AVG(R.Solar_Energy + R.Wind_Energy) AS Average_Renewable_Energy, E.CO2_Emissions FROM Renewable_Energy R JOIN Emissions E ON R.Company = E.Company WHERE R.Year = E.Year GROUP BY R.Company, E.CO2_Emissions; | gretelai_synthetic_text_to_sql |
CREATE TABLE Water_Usage (Year INT, Sector VARCHAR(20), Volume INT); INSERT INTO Water_Usage (Year, Sector, Volume) VALUES (2019, 'Industry', 12300000), (2018, 'Industry', 12000000), (2020, 'Industry', 12500000); | What is the total volume of water consumed by the industrial sector in the state of Florida in 2020? | SELECT SUM(Volume) FROM Water_Usage WHERE Year = 2020 AND Sector = 'Industry'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Dispensaries (id INT, name VARCHAR(255), city VARCHAR(255), state VARCHAR(255));CREATE TABLE Inventory (id INT, dispensary_id INT, weight DECIMAL(10, 2), product_type VARCHAR(255), month INT, year INT);INSERT INTO Dispensaries (id, name, city, state) VALUES (1, 'Green Leaf', 'Denver', 'CO');INSERT INTO Inv... | What was the total weight of cannabis flower sold by each dispensary in the city of Denver in the month of April 2021? | SELECT d.name, SUM(i.weight) as total_weight FROM Dispensaries d JOIN Inventory i ON d.id = i.dispensary_id WHERE d.city = 'Denver' AND i.product_type = 'flower' AND i.month = 4 AND i.year = 2021 GROUP BY d.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Departments (DepartmentID INT PRIMARY KEY, DepartmentName VARCHAR(50), BudgetForDisabilityAccommodations DECIMAL(10,2), NumberOfStudentsWithDisabilities INT); CREATE TABLE Universities (UniversityID INT PRIMARY KEY, UniversityName VARCHAR(50), UniversityLocation VARCHAR(50)); CREATE TABLE UniversityDepartm... | What is the total budget for disability accommodations in departments with more than 20% of students with disabilities in a university in Canada? | SELECT SUM(BudgetForDisabilityAccommodations) as TotalBudget FROM UniversityDepartments ud JOIN Departments d ON ud.DepartmentID = d.DepartmentID JOIN Universities u ON ud.UniversityID = u.UniversityID WHERE u.UniversityLocation LIKE '%Canada%' GROUP BY ud.UniversityID HAVING AVG(d.NumberOfStudentsWithDisabilities) > 0... | gretelai_synthetic_text_to_sql |
CREATE TABLE Aircraft (aircraft_id INT, model VARCHAR(50), orders INT); INSERT INTO Aircraft (aircraft_id, model, orders) VALUES (1, 'B787', 180), (2, 'A320', 220), (3, 'A350', 120); | List all aircraft models with more than 150 orders in descending order. | SELECT model FROM Aircraft WHERE orders > 150 ORDER BY orders DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Concerts (genre VARCHAR(20), concert_date DATE); INSERT INTO Concerts (genre, concert_date) VALUES ('Classical', '2022-03-12'), ('Jazz', '2021-11-28'), ('Classical', '2022-01-01'); | Find the number of classical concerts in the last year. | SELECT COUNT(*) FROM Concerts WHERE genre = 'Classical' AND concert_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE locations (location_id INT PRIMARY KEY, location_name VARCHAR(50), country VARCHAR(50)); | Update the 'status' column to 'inactive' for all records in the 'locations' table where the 'country' is 'India' | UPDATE locations SET status = 'inactive' WHERE country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fabrics (id INT, supplier VARCHAR(50), fabric_type VARCHAR(50), sustainability_rating INT); INSERT INTO fabrics (id, supplier, fabric_type, sustainability_rating) VALUES (1, 'Supplier1', 'Cotton', 80); INSERT INTO fabrics (id, supplier, fabric_type, sustainability_rating) VALUES (2, 'Supplier2', 'Polyester... | Find the average sustainability rating of fabrics by supplier | SELECT supplier, AVG(sustainability_rating) FROM fabrics GROUP BY supplier; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tours (country VARCHAR(255), quarter VARCHAR(10), local_impact FLOAT); INSERT INTO virtual_tours (country, quarter, local_impact) VALUES ('China', 'Q3', 1000000), ('Japan', 'Q3', 800000), ('South Korea', 'Q3', 900000); | What was the local economic impact of virtual tours in Asia in Q3 2022? | SELECT SUM(local_impact) FROM virtual_tours WHERE country IN ('China', 'Japan', 'South Korea') AND quarter = 'Q3'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales_volume(product_name TEXT, spf DECIMAL(3,1), sales_volume INT); INSERT INTO sales_volume VALUES ('Sunscreen', 50, 500); INSERT INTO sales_volume VALUES ('Moisturizer', 15, 300); INSERT INTO sales_volume VALUES ('Foundation', 20, 700); | What is the total sales volume of makeup products with SPF sold in Australia? | SELECT SUM(sales_volume) FROM sales_volume WHERE spf IS NOT NULL AND country = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies(id INT, name VARCHAR(50), industry VARCHAR(20), num_patents INT); INSERT INTO companies VALUES (1, 'Alpha', 'Healthcare', 5); INSERT INTO companies VALUES (2, 'Beta', 'Finance', 3); INSERT INTO companies VALUES (3, 'Gamma', 'Healthcare', 7); CREATE TABLE founders(id INT, company_id INT); INSERT I... | Who are the founders that have not filed any patents? | SELECT founders.id, founders.company_id FROM founders LEFT JOIN companies ON founders.company_id = companies.id WHERE companies.num_patents IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policies (PolicyNumber INT, PolicyholderID INT, PolicyState VARCHAR(20)); CREATE TABLE Claims (PolicyholderID INT, ClaimAmount DECIMAL(10,2), PolicyState VARCHAR(20)); INSERT INTO Policies (PolicyNumber, PolicyholderID, PolicyState) VALUES (1001, 3, 'California'), (1002, 4, 'California'), (1003, 5, 'Califo... | List policy numbers and claim amounts for policyholders living in 'California' who have not filed a claim. | SELECT Policies.PolicyNumber, NULL AS ClaimAmount FROM Policies LEFT JOIN Claims ON Policies.PolicyholderID = Claims.PolicyholderID WHERE Policies.PolicyState = 'California' AND Claims.PolicyholderID IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (id INT, name VARCHAR(255)); INSERT INTO Vessels (id, name) VALUES (1, 'Eco Warrior'); CREATE TABLE FuelConsumption (vessel_id INT, fuel_consumption INT, timestamp TIMESTAMP); INSERT INTO FuelConsumption (vessel_id, fuel_consumption, timestamp) VALUES (1, 500, '2021-09-01 10:00:00'); | Delete all records for the vessel 'Eco Warrior' in the 'FuelConsumption' table. | DELETE FROM FuelConsumption WHERE vessel_id = (SELECT id FROM Vessels WHERE name = 'Eco Warrior'); | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy (country VARCHAR(255), year INT, num_projects INT); INSERT INTO renewable_energy (country, year, num_projects) VALUES ('Brazil', 2016, 150), ('Brazil', 2017, 180), ('Brazil', 2018, 200), ('Brazil', 2019, 220), ('Brazil', 2020, 250); | How many renewable energy projects were completed in Brazil between 2016 and 2018? | SELECT SUM(num_projects) FROM renewable_energy WHERE country = 'Brazil' AND year BETWEEN 2016 AND 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_change_impact (id INT, species_id INT, PRIMARY KEY (id, species_id), FOREIGN KEY (species_id) REFERENCES marine_species(id)); INSERT INTO climate_change_impact (id, species_id) VALUES (1, 1), (2, 3); | List all marine species that have been impacted by climate change. | SELECT marine_species.species_name FROM marine_species INNER JOIN climate_change_impact ON marine_species.id = climate_change_impact.species_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (id INT, name VARCHAR(255)); INSERT INTO regions (id, name) VALUES (1, 'North'), (2, 'South'), (3, 'East'), (4, 'West'); CREATE TABLE donations (id INT, region_id INT, amount DECIMAL(10,2), donation_date DATE); INSERT INTO donations (id, region_id, amount, donation_date) VALUES (1, 2, 500.00, '2021... | Which regions had the highest total donation amounts in Q2 2021? | SELECT region_id, SUM(amount) as total_donations FROM donations WHERE donation_date BETWEEN '2021-04-01' AND '2021-06-30' GROUP BY region_id ORDER BY total_donations DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title TEXT, budget INT, production_country TEXT); INSERT INTO movies (id, title, budget, production_country) VALUES (1, 'Movie1', 5000000, 'USA'), (2, 'Movie2', 10000000, 'Canada'), (3, 'Movie3', 7000000, 'USA'); | What is the average budget of movies produced in the USA? | SELECT AVG(budget) FROM movies WHERE production_country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Satellites (id INT, country VARCHAR(50), launch_date DATE); INSERT INTO Satellites (id, country, launch_date) VALUES (1, 'USA', '2020-01-01'), (2, 'China', '2020-02-14'), (3, 'Russia', '2020-04-22'), (4, 'India', '2020-05-15'), (5, 'Japan', '2020-06-20'); | Which countries have launched the most satellites in the Satellites table? | SELECT country, COUNT(*) as total_satellites FROM Satellites GROUP BY country ORDER BY total_satellites DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID int, Name varchar(50), Nationality varchar(50)); CREATE TABLE Artworks (ArtworkID int, ArtistID int, Title varchar(50)); CREATE TABLE Exhibits (ExhibitID int, Gallery varchar(50), ArtworkID int); CREATE TABLE ExhibitionTitles (ExhibitID int, Title varchar(50)); INSERT INTO Artists (Artist... | Which artworks in the 'Post-Impressionism' exhibit were created by artists from France? | SELECT a.Title FROM Artists a INNER JOIN Artworks aw ON a.ArtistID = aw.ArtistID INNER JOIN Exhibits e ON aw.ArtworkID = e.ArtworkID INNER JOIN ExhibitionTitles et ON e.ExhibitID = et.ExhibitID WHERE et.Title = 'Post-Impressionism' AND a.Nationality = 'French'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, country VARCHAR(255)); INSERT INTO users (id, country) VALUES (1, 'United States'), (2, 'Canada'); CREATE TABLE posts (id INT, user_id INT, likes INT); INSERT INTO posts (id, user_id, likes) VALUES (1, 1, 100), (2, 1, 200), (3, 2, 50); | What is the average number of likes on posts from users in the United States? | SELECT AVG(posts.likes) FROM posts JOIN users ON posts.user_id = users.id WHERE users.country = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (event_id INT, name VARCHAR(50), type VARCHAR(50), tickets_sold INT, ticket_price DECIMAL(5,2)); INSERT INTO events (event_id, name, type, tickets_sold, ticket_price) VALUES (1, 'Basketball Game', 'Sports', 500, 50.00), (2, 'Concert', 'Music', 1000, 75.00); | Get the number of tickets sold for each event in the events table. | SELECT type, SUM(tickets_sold) FROM events GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpaceProbes (id INT, name VARCHAR(50), launch_date DATE, current_distance INT); INSERT INTO SpaceProbes (id, name, launch_date, current_distance) VALUES (1, 'Voyager 1', '1977-09-05', 145000000000); | What is the maximum distance traveled by the Voyager 1 space probe? | SELECT MAX(current_distance) FROM SpaceProbes WHERE name = 'Voyager 1'; | gretelai_synthetic_text_to_sql |
CREATE TABLE conservation_projects (id INT, project_name VARCHAR(50), ocean VARCHAR(50), budget DECIMAL(10,2)); INSERT INTO conservation_projects (id, project_name, ocean, budget) VALUES (1, 'Project A', 'Mediterranean Sea', 10000), (2, 'Project B', 'Mediterranean Sea', 15000), (3, 'Project C', 'Atlantic Ocean', 20000)... | List all marine conservation projects in the Mediterranean Sea and their budgets. | SELECT project_name, budget FROM conservation_projects WHERE ocean = 'Mediterranean Sea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (id INT, name TEXT, joined DATE); INSERT INTO Volunteers (id, name, joined) VALUES (1, 'John Doe', '2021-01-01'), (2, 'Jane Smith', '2022-01-01'); CREATE TABLE Donors (id INT, name TEXT, donated DATE); INSERT INTO Donors (id, name, donated) VALUES (3, 'Mike Johnson', '2021-01-01'), (4, 'Sara Wil... | Identify the number of new volunteers and donors in the year 2022. | SELECT 'Volunteers' as type, COUNT(*) as total FROM Volunteers WHERE YEAR(joined) = 2022 UNION ALL SELECT 'Donors' as type, COUNT(*) as total FROM Donors WHERE YEAR(donated) = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE sensor (id INT, name VARCHAR(20), location VARCHAR(20), type VARCHAR(20)); INSERT INTO sensor (id, name, location, type) VALUES (1, 'sensor1', 'farm1', 'temperature'), (2, 'sensor2', 'farm2', 'humidity'), (3, 'sensor3', 'farm3', 'temperature'); CREATE TABLE humidity (id INT, sensor_id INT, timestamp DATETI... | What is the minimum humidity recorded for each sensor in 'farm2'? | SELECT sensor.name as sensor_name, MIN(value) as min_humidity FROM humidity JOIN sensor ON humidity.sensor_id = sensor.id WHERE sensor.location = 'farm2' GROUP BY sensor.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (company_id INT, round_type TEXT, raised_amount INT); INSERT INTO investments (company_id, round_type, raised_amount) VALUES (1, 'Series A', 5000000); INSERT INTO investments (company_id, round_type, raised_amount) VALUES (2, 'Seed', 1000000); CREATE TABLE companies (id INT, name TEXT, founding... | What is the median investment amount per round for companies founded in the last 3 years? | SELECT AVG(raised_amount) as median_investment_per_round FROM (SELECT raised_amount FROM investments JOIN companies ON investments.company_id = companies.id WHERE companies.founding_year >= YEAR(CURRENT_DATE) - 3 ORDER BY raised_amount) AS subquery WHERE ROW_NUMBER() OVER (ORDER BY raised_amount) IN ( (SELECT CEIL(COUN... | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biosensors;CREATE TABLE if not exists biosensors.measurements (id INT PRIMARY KEY, location VARCHAR(100), temperature FLOAT); INSERT INTO biosensors.measurements (id, location, temperature) VALUES (1, 'New York', 25.5), (2, 'Los Angeles', 28.2), (3, 'Chicago', 24.3), (4, 'Houston', 27.1), (5... | What is the maximum biosensor temperature recorded in the United States? | SELECT MAX(temperature) FROM biosensors.measurements WHERE location = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fish_inventory (id INT PRIMARY KEY, species VARCHAR(50), quantity INT, location VARCHAR(50)); INSERT INTO fish_inventory (id, species, quantity, location) VALUES (1, 'Salmon', 50, 'Tank A'), (2, 'Tilapia', 75, 'Tank B'), (3, 'Cod', 100, 'Tank C'), (4, 'Herring', 25, 'Tank A'); | List all fish species that have a quantity greater than 50 in the 'fish_inventory' table. | SELECT DISTINCT species FROM fish_inventory WHERE quantity > 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE RuralClinics (ClinicID int, ClinicName varchar(50), State varchar(20)); CREATE TABLE HealthcareProfessionals (ProfessionalID int, ProfessionalName varchar(50), ClinicID int, Specialty varchar(50)); INSERT INTO RuralClinics (ClinicID, ClinicName, State) VALUES (1, 'Rural Clinic A', 'QLD'); INSERT INTO Healt... | List all clinics in a rural area with their respective healthcare professionals? | SELECT Clinics.ClinicName, Professionals.ProfessionalName, Professionals.Specialty FROM RuralClinics AS Clinics JOIN HealthcareProfessionals AS Professionals ON Clinics.ClinicID = Professionals.ClinicID; | gretelai_synthetic_text_to_sql |
CREATE TABLE Garments(id INT, store VARCHAR(20), retail_price DECIMAL(5,2)); INSERT INTO Garments(id, store, retail_price) VALUES (1, 'Eco_Friendly', 150.00), (2, 'Eco_Friendly', 75.00), (3, 'Sustainable_Outlet', 120.00); | Delete records of garments that have a retail price greater than $100 in the 'Eco_Friendly' store. | DELETE FROM Garments WHERE store = 'Eco_Friendly' AND retail_price > 100; | gretelai_synthetic_text_to_sql |
CREATE TABLE NigerianStates (State VARCHAR(50), Births INT, Deaths INT); INSERT INTO NigerianStates (State, Births, Deaths) VALUES ('Lagos', 200000, 5000), ('Kano', 180000, 4500), ('Rivers', 160000, 4000), ('Anambra', 150000, 3500); | What is the infant mortality rate in each state of Nigeria? | SELECT State, (SUM(Deaths) / SUM(Births)) * 100000 AS InfantMortalityRate FROM NigerianStates GROUP BY State; | gretelai_synthetic_text_to_sql |
CREATE TABLE Forests ( ForestID INT PRIMARY KEY, Name VARCHAR(50), Country VARCHAR(50), Hectares FLOAT ); CREATE TABLE Management ( ManagementID INT PRIMARY KEY, Method VARCHAR(50), ForestID INT, FOREIGN KEY (ForestID) REFERENCES Forests(ForestID)); CREATE TABLE Sustainability ( SustainabilityID INT PRIMARY KEY, Certif... | Which forests have sustainable management methods? | SELECT Forests.Name FROM Forests INNER JOIN Management ON Forests.ForestID = Management.ForestID INNER JOIN Sustainability ON Management.ManagementID = Sustainability.ManagementID WHERE Sustainability.Certified = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE bridges (id INT, name VARCHAR(50), state VARCHAR(50), length FLOAT, year_built INT); INSERT INTO bridges (id, name, state, length, year_built) VALUES (1, 'Golden Gate Bridge', 'California', 2737, 1937); INSERT INTO bridges (id, name, state, length, year_built) VALUES (2, 'Houston Ship Channel Bridge', 'Tex... | Show the average length of bridges built before 1960 | SELECT AVG(length) FROM bridges WHERE year_built < 1960; | gretelai_synthetic_text_to_sql |
CREATE TABLE LiteraryEvents (EventID INT, EventName VARCHAR(50), Date DATE); CREATE TABLE Attendees (AttendeeID INT, AttendeeName VARCHAR(50), FirstAttendance DATE, LastAttendance DATE); CREATE TABLE EventAttendees (EventID INT, AttendeeID INT, FOREIGN KEY (EventID) REFERENCES LiteraryEvents(EventID), FOREIGN KEY (Atte... | What is the percentage of repeat attendees for literary events, and what is the average time between their first and last attendance? | SELECT AVG(DATEDIFF(Attendees.LastAttendance, Attendees.FirstAttendance))/365, COUNT(DISTINCT EventAttendees.AttendeeID)/COUNT(DISTINCT Attendees.AttendeeID) * 100 FROM EventAttendees INNER JOIN Attendees ON EventAttendees.AttendeeID = Attendees.AttendeeID INNER JOIN LiteraryEvents ON EventAttendees.EventID = LiteraryE... | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkers (Id INT, Age INT, Race VARCHAR(25), Salary DECIMAL(10,2)); INSERT INTO CommunityHealthWorkers (Id, Age, Race, Salary) VALUES (1, 45, 'Hispanic', 60000.00), (2, 32, 'African American', 55000.00), (3, 50, 'Caucasian', 72000.00), (4, 40, 'Asian', 68000.00), (5, 38, 'Native American', 52... | What is the average age of community health workers by race, excluding those with a salary over $70,000? | SELECT Race, AVG(Age) as AvgAge FROM CommunityHealthWorkers WHERE Salary < 70000 GROUP BY Race; | gretelai_synthetic_text_to_sql |
CREATE TABLE ERC20Tokens (id INT, name VARCHAR(100), symbol VARCHAR(50), total_supply DECIMAL(20,2)); INSERT INTO ERC20Tokens (id, name, symbol, total_supply) VALUES (1, 'Tether', 'USDT', 80000000), (2, 'Uniswap', 'UNI', 1000000); | What is the total value of all ERC-20 tokens issued on the Ethereum network? | SELECT SUM(total_supply) FROM ERC20Tokens WHERE symbol IN ('USDT', 'UNI', '...'); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (name TEXT, depth INTEGER, area INTEGER); INSERT INTO marine_protected_areas (name, depth, area) VALUES ('Phoenix Islands Protected Area', 4000, 408054), ('Weddell Sea Marine Protected Area', 3500, 2309120), ('Ross Sea Marine Protected Area', 3000, 1599400); | What is the total area (in square kilometers) of all marine protected areas deeper than 3000 meters? | SELECT SUM(area) FROM marine_protected_areas WHERE depth > 3000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Movies_Awards (movie VARCHAR(255), director VARCHAR(50), oscar_wins INT); | Number of Oscars won by movies directed by people of color | SELECT SUM(oscar_wins) FROM Movies_Awards WHERE director LIKE '%person%of%color%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE water_usage_nm (sector VARCHAR(20), usage FLOAT); INSERT INTO water_usage_nm (sector, usage) VALUES ('Industrial', 1200), ('Agriculture', 3000), ('Domestic', 800); | How much water is used in the domestic sector in New Mexico? | SELECT usage FROM water_usage_nm WHERE sector = 'Domestic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_contracts (contract_id INT, company_name TEXT, community TEXT, value FLOAT); INSERT INTO defense_contracts (contract_id, company_name, community, value) VALUES (1, 'ACME Corp', 'Veteran Owned', 700000), (2, 'DEF Inc', 'Minority Owned', 800000), (3, 'GHI Ltd', 'Women Owned', 900000), (4, 'JKL PLC', ... | List defense contracts awarded to companies in underrepresented communities | SELECT company_name FROM defense_contracts WHERE community IN ('Veteran Owned', 'Minority Owned', 'Women Owned', 'Service Disabled Veteran Owned'); | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (id INT, category VARCHAR(20), funding DECIMAL(10,2)); INSERT INTO programs (id, category, funding) VALUES (1, 'Visual Arts', 15000.00), (2, 'Performing Arts', 20000.00), (3, 'Literary Arts', 10000.00); | What was the total funding for visual arts programs? | SELECT SUM(funding) FROM programs WHERE category = 'Visual Arts'; | gretelai_synthetic_text_to_sql |
CREATE TABLE japan_tourism (name VARCHAR(255), country VARCHAR(255), year INT, tourists INT); INSERT INTO japan_tourism (name, country, year, tourists) VALUES ('Tokyo', 'China', 2015, 2020000), ('Osaka', 'South Korea', 2015, 1110000); | What is the percentage of international tourists visiting Japan that are from Asian countries? | SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM japan_tourism)) AS percentage FROM japan_tourism WHERE country LIKE '%Asia%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE department (id INT, name TEXT, budget INT, created_at DATETIME); INSERT INTO department (id, name, budget, created_at) VALUES (1, 'education', 500000, '2021-01-01'), (2, 'social services', 1200000, '2022-01-01'); | What is the maximum budget allocated to a 'social services' department in 2025? | SELECT name, MAX(budget) as max_budget FROM department WHERE name = 'social services' AND created_at BETWEEN '2025-01-01' AND '2025-12-31' GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE EnvironmentalImpact (StudyID INT, StudyName VARCHAR(50), LeadResearcher VARCHAR(50)); INSERT INTO EnvironmentalImpact (StudyID, StudyName, LeadResearcher) VALUES (1, 'Environmental Impact of Electric Vehicles', 'Dr. Maria Garcia'); | Who is the lead researcher for the study on the environmental impact of electric vehicles? | SELECT LeadResearcher FROM EnvironmentalImpact WHERE StudyName = 'Environmental Impact of Electric Vehicles'; | gretelai_synthetic_text_to_sql |
CREATE TABLE disability_support_programs (program_id INT, name VARCHAR(255), created_date DATE); INSERT INTO disability_support_programs (program_id, name, created_date) VALUES (1, 'Peer Mentoring', '2020-01-15'); INSERT INTO disability_support_programs (program_id, name, created_date) VALUES (2, 'Assistive Technology ... | What was the total number of disability support programs created in the year 2020? | SELECT COUNT(*) FROM disability_support_programs WHERE YEAR(created_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE incidents (incident_id INT, department VARCHAR(255), incident_date DATE, incident_status VARCHAR(255)); INSERT INTO incidents (incident_id, department, incident_date, incident_status) VALUES (1, 'IT', '2022-01-01', 'Resolved'), (2, 'HR', '2022-02-01', 'Open'), (3, 'IT', '2022-03-01', 'Resolved'), (4, 'Fina... | Calculate the number of unresolved security incidents for each department in the company, for the last 6 months, partitioned by department and status? | SELECT department, incident_status, COUNT(incident_id) as unresolved_incidents FROM incidents WHERE incident_date >= DATEADD(month, -6, GETDATE()) GROUP BY department, incident_status; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas_sa (id INT, name VARCHAR(255), region VARCHAR(255)); INSERT INTO marine_protected_areas_sa (id, name, region) VALUES (1, 'South Georgia and the South Sandwich Islands Marine Protected Area', 'South Atlantic'); INSERT INTO marine_protected_areas_sa (id, name, region) VALUES (2, 'Trist... | How many marine protected areas are there in the South Atlantic Ocean? | SELECT COUNT(DISTINCT name) FROM marine_protected_areas_sa WHERE region = 'South Atlantic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu (category VARCHAR(255), price FLOAT); INSERT INTO menu (category, price) VALUES ('Appetizers', 7.99), ('Entrees', 14.99), ('Desserts', 5.99), ('Drinks', 2.99), ('Sides', 1.99); | What is the average price of dishes in each menu category, excluding the cheapest and most expensive dishes? | SELECT category, AVG(price) FROM (SELECT category, price FROM menu WHERE price NOT IN (SELECT MIN(price) FROM menu WHERE category = menu.category) AND price NOT IN (SELECT MAX(price) FROM menu WHERE category = menu.category)) AS filtered_menu GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (country VARCHAR(20), product_type VARCHAR(20), revenue DECIMAL(10,2)); INSERT INTO sales (country, product_type, revenue) VALUES ('US', 'natural hair care', 2500), ('Canada', 'natural hair care', 1800), ('Mexico', 'natural hair care', 2000), ('US', 'organic skincare', 5000), ('Canada', 'organic skin... | List the top 3 countries with the highest sales revenue for natural hair care products | SELECT country, SUM(revenue) AS total_revenue FROM sales WHERE product_type = 'natural hair care' GROUP BY country ORDER BY total_revenue DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE japan_data (year INT, investment FLOAT); INSERT INTO japan_data (year, investment) VALUES (2019, 5000000), (2020, 5500000), (2021, 6000000); | What is the minimum network infrastructure investment in Japan for the last 3 years? | SELECT MIN(investment) as min_investment FROM japan_data WHERE year BETWEEN 2019 AND 2021; | gretelai_synthetic_text_to_sql |
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