context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE Volunteers (VolunteerID INT, FirstName VARCHAR(50), LastName VARCHAR(50), Email VARCHAR(50)); INSERT INTO Volunteers (VolunteerID, FirstName, LastName, Email) VALUES (1, 'John', 'Doe', '[email protected]'), (2, 'Jane', 'Smith', '[email protected]'), (3, 'Alice', 'Johnson', '[email protected]'), (4, ... | How many volunteers have contributed more than 25 hours in total? | SELECT COUNT(*) FROM (SELECT VolunteerID FROM VolunteerHours GROUP BY VolunteerID HAVING SUM(Hours) > 25) subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE investors (investor_id INT, investor_name TEXT, country TEXT); INSERT INTO investors (investor_id, investor_name, country) VALUES (1, 'Investor A', 'USA'), (2, 'Investor B', 'Canada'), (3, 'Investor C', 'India'), (4, 'Investor D', 'Germany'), (5, 'Investor E', 'Brazil'); CREATE TABLE investments (investmen... | Who are the top 5 impact investors in terms of the number of investments made in the climate change sector? | SELECT i.investor_name, COUNT(i.investment_id) as total_investments FROM investors i JOIN investments j ON i.investor_id = j.investor_id WHERE j.sector = 'Climate Change' GROUP BY i.investor_id ORDER BY total_investments DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemical_compounds (id INT PRIMARY KEY, name VARCHAR(255), safety_rating INT); | Update records of chemical compounds with a name 'Methanol', changing safety_rating to 6 | UPDATE chemical_compounds SET safety_rating = 6 WHERE name = 'Methanol'; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (client_id INT, name TEXT, age INT, gender TEXT); INSERT INTO clients VALUES (1, 'John Doe', 35, 'Male'), (2, 'Jane Smith', 45, 'Female'), (3, 'Bob Johnson', 50, 'Male'), (4, 'Alice Lee', 40, 'Female'); CREATE TABLE investments (client_id INT, investment_type TEXT); INSERT INTO investments VALUES (... | List all clients with their age and the number of investments they made, sorted by the number of investments in descending order? | SELECT c.age, COUNT(i.investment_type) AS num_investments FROM clients c LEFT JOIN investments i ON c.client_id = i.client_id GROUP BY c.client_id ORDER BY num_investments DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name VARCHAR(50), type VARCHAR(50), max_cargo_weight INT); INSERT INTO vessels (id, name, type, max_cargo_weight) VALUES (1, 'VesselA', 'Cargo', 10000), (2, 'VesselB', 'Tanker', 8000), (3, 'VesselC', 'Passenger', 0); CREATE TABLE voyages (id INT, vessel_id INT, region VARCHAR(50), distance... | What is the maximum cargo weight for vessels traveling in the Mediterranean? | SELECT MAX(max_cargo_weight) FROM vessels v INNER JOIN voyages voy ON v.id = voy.vessel_id WHERE region = 'Mediterranean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (date DATE, region VARCHAR(50), revenue FLOAT, profit FLOAT); INSERT INTO sales (date, region, revenue, profit) VALUES ('2021-07-01', 'Asia', 5000, 2000); | What is the total revenue and profit for each region in Q3 2021? | SELECT EXTRACT(QUARTER FROM date) as quarter, region, SUM(revenue) as total_revenue, SUM(profit) as total_profit FROM sales WHERE date >= '2021-07-01' AND date <= '2021-09-30' GROUP BY quarter, region; | gretelai_synthetic_text_to_sql |
CREATE TABLE wallets (id INT, country VARCHAR(50), type VARCHAR(50)); INSERT INTO wallets (id, country, type) VALUES (1, 'Australia', 'DeFi'), (2, 'New Zealand', 'DeFi'), (3, 'Fiji', 'Crypto'); | What is the total number of unique digital wallet addresses associated with DeFi protocols in Oceania? | SELECT COUNT(DISTINCT id) FROM wallets WHERE country IN ('Australia', 'New Zealand') AND type = 'DeFi'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (id INT, name VARCHAR(255), age INT); INSERT INTO Artists (id, name, age) VALUES (1, 'Taylor Swift', 32), (2, 'Billie Eilish', 20); CREATE TABLE Festivals (id INT, name VARCHAR(255), year INT, artist_id INT); INSERT INTO Festivals (id, name, year, artist_id) VALUES (1, 'Coachella', 2022, 2), (2, 'L... | What is the minimum age of artists who have performed at Lollapalooza? | SELECT MIN(age) FROM Artists INNER JOIN Festivals ON Artists.id = Festivals.artist_id WHERE Festivals.name = 'Lollapalooza'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farm (farm_id INT, fish_species VARCHAR(50), water_temperature DECIMAL(5,2)); INSERT INTO Farm (farm_id, fish_species, water_temperature) VALUES (1, 'Salmon', 12.5), (2, 'Tilapia', 26.3), (3, 'Trout', 14.8); | What is the average water temperature for each fish species in the aquaculture farms? | SELECT Fish.fish_species, AVG(Farm.water_temperature) as AvgWaterTemp FROM Farm INNER JOIN Fish ON Farm.fish_species = Fish.fish_species GROUP BY Fish.fish_species; | gretelai_synthetic_text_to_sql |
CREATE TABLE faculty (faculty_id INT, name VARCHAR(100), department VARCHAR(50), gender VARCHAR(10), grant_count INT); | What is the average number of research grants received per month by faculty members in the Computer Science department in the past 3 years? | SELECT AVG(grant_count) as avg_grants_per_month FROM (SELECT faculty_id, COUNT(*) as grant_count FROM faculty f JOIN (SELECT grant_id, faculty_id, YEAR(grant_date) as grant_year FROM grants) g ON f.faculty_id = g.faculty_id WHERE f.department = 'Computer Science' AND g.grant_year >= YEAR(DATEADD(year, -3, GETDATE())) G... | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (id INT, name VARCHAR(50), type VARCHAR(20)); CREATE TABLE Menu (id INT, restaurant_id INT, dish VARCHAR(50), category VARCHAR(20), price DECIMAL(5,2), sustainable BOOLEAN); INSERT INTO Restaurants (id, name, type) VALUES (1, 'OceanBreeze', 'Seafood'); INSERT INTO Menu (id, restaurant_id, dish,... | What is the total revenue of sustainable seafood dishes? | SELECT SUM(price) FROM Menu WHERE category = 'Seafood' AND sustainable = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE WaterRecyclingSystems(brand VARCHAR(255), implementation_year INT); | How many ethical fashion brands have implemented water recycling systems in the past 3 years? | SELECT brand, COUNT(*) FROM WaterRecyclingSystems WHERE implementation_year >= YEAR(CURRENT_DATE) - 3 GROUP BY brand HAVING COUNT(*) > 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE agricultural_innovation (id INT, country VARCHAR(50), contributor VARCHAR(50), funding INT); INSERT INTO agricultural_innovation (id, country, contributor, funding) VALUES (1, 'Kenya', 'Government', 5000000), (2, 'Tanzania', 'Private', 6000000), (3, 'Uganda', 'NGO', 7000000), (4, 'Kenya', 'Private', 800000... | What is the total funding for agricultural innovation in each country in Africa? | SELECT country, SUM(funding) as total_funding FROM agricultural_innovation GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE rehabilitation_center (animal_id INT, admission_date DATE); INSERT INTO rehabilitation_center (animal_id, admission_date) VALUES (1, '2021-01-05'), (2, '2021-01-12'), (3, '2021-02-18'); | What is the total number of animals in the rehabilitation center admitted in the winter season? | SELECT COUNT(*) FROM rehabilitation_center WHERE admission_date BETWEEN '2021-01-01' AND '2021-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers(id INT, name TEXT, country TEXT); INSERT INTO farmers(id, name, country) VALUES (1, 'Juan', 'Mexico'); INSERT INTO farmers(id, name, country) VALUES (2, 'Ana', 'Mexico'); CREATE TABLE programs(id INT, farmer_id INT, program TEXT, investment FLOAT); INSERT INTO programs(id, farmer_id, program, inves... | What is the average investment in agricultural innovation programs per farmer in Mexico? | SELECT AVG(p.investment) FROM farmers f INNER JOIN programs p ON f.id = p.farmer_id WHERE f.country = 'Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE policy_violations (id INT, policy_name VARCHAR(255), region VARCHAR(255), violation_date DATE); INSERT INTO policy_violations (id, policy_name, region, violation_date) VALUES (1, 'Data Privacy', 'MENA', '2022-02-01'), (2, 'Access Control', 'MENA', '2022-02-02'), (3, 'Incident Response', 'MENA', '2022-02-03... | What are the top 2 most frequently violated policies in the Middle East and North Africa region? | SELECT policy_name, COUNT(*) AS violation_count FROM policy_violations WHERE region = 'MENA' AND violation_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY policy_name ORDER BY violation_count DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE ingredient_sources (id INT PRIMARY KEY, product_id INT, ingredient TEXT, country TEXT, source TEXT); CREATE TABLE products (id INT PRIMARY KEY, name TEXT, brand TEXT); INSERT INTO products (id, name, brand) VALUES (1, 'Coconut Body Butter', 'TropicalBliss'); | Insert a new ingredient source record for the product named "Coconut Body Butter" from the brand "TropicalBliss" with the ingredient "Coconut Oil", source "Small Farmers Co-op", and country "Sri Lanka". | INSERT INTO ingredient_sources (id, product_id, ingredient, country, source) VALUES (1, (SELECT id FROM products WHERE name = 'Coconut Body Butter' AND brand = 'TropicalBliss'), 'Coconut Oil', 'Sri Lanka', 'Small Farmers Co-op'); | gretelai_synthetic_text_to_sql |
CREATE TABLE metro_routes (id INT, station_id INT, trip_week DATE); INSERT INTO metro_routes (id, station_id, trip_week) VALUES (1, 1, '2022-01-01'), (2, 2, '2022-01-01'), (3, 1, '2022-01-08'); | Find the number of unique metro stations used per week, ordered by the most used week? | SELECT COUNT(DISTINCT station_id) OVER (ORDER BY trip_week DESC) as unique_stations, trip_week FROM metro_routes WHERE trip_week >= DATEADD(day, -365, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE monitoring_stations (id INT PRIMARY KEY, name VARCHAR(50), location VARCHAR(50)); CREATE TABLE temperature_readings (id INT PRIMARY KEY, station_id INT, value FLOAT, timestamp TIMESTAMP); CREATE TABLE humidity_readings (id INT PRIMARY KEY, station_id INT, value FLOAT, timestamp TIMESTAMP); | List all monitoring stations and their respective average temperature and humidity readings, ordered by the average temperature. | SELECT monitoring_stations.name, AVG(temperature_readings.value) AS avg_temperature, AVG(humidity_readings.value) AS avg_humidity FROM monitoring_stations INNER JOIN temperature_readings ON monitoring_stations.id = temperature_readings.station_id INNER JOIN humidity_readings ON monitoring_stations.id = humidity_reading... | gretelai_synthetic_text_to_sql |
CREATE TABLE game_R_usage (user_id INT, usage_date DATE); | What is the number of users who played game R on each day of the week? | SELECT DATEPART(dw, usage_date) AS day_of_week, COUNT(DISTINCT user_id) FROM game_R_usage GROUP BY DATEPART(dw, usage_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies (id INT, name TEXT, industry TEXT); INSERT INTO Companies VALUES (1, 'Biotech Company', 'Biotech'); CREATE TABLE InvestmentRounds (id INT, company_id INT, round_amount INT); INSERT INTO InvestmentRounds VALUES (1, 1, 2000000); CREATE TABLE Founders (id INT, company_id INT, ethnicity TEXT); INSERT... | List companies founded by Indigenous individuals in the Biotech sector that have had at least one investment round. | SELECT Companies.name FROM Companies JOIN Founders ON Companies.id = Founders.company_id WHERE Founders.ethnicity = 'Indigenous' AND Companies.industry = 'Biotech'; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (event_id INT, event_name VARCHAR(50), funding_source_id INT, event_date DATE); INSERT INTO events (event_id, event_name, funding_source_id, event_date) VALUES (1, 'Art Exhibit', 1, '2021-06-01'), (2, 'Theater Performance', 2, '2021-07-15'), (3, 'Dance Recital', 1, '2021-09-25'); CREATE TABLE fundin... | How many events did each funding source support in 2021? | SELECT funding_source_name, COUNT(events.funding_source_id) AS event_count FROM funding_sources LEFT JOIN events ON funding_sources.funding_source_id = events.funding_source_id WHERE YEAR(events.event_date) = 2021 GROUP BY funding_source_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE network_investments (region VARCHAR(20), investment FLOAT); INSERT INTO network_investments (region, investment) VALUES ('Africa', 5000000); INSERT INTO network_investments (region, investment) VALUES ('Asia', 7000000); | What is the total network investment in telecommunications infrastructure in Africa? | SELECT SUM(investment) FROM network_investments WHERE region = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Contractors (contractor_id INT, contractor_name VARCHAR(50), contractor_HQ VARCHAR(50), contract_value FLOAT); INSERT INTO Contractors (contractor_id, contractor_name, contractor_HQ, contract_value) VALUES (5, 'MegaDefense', 'USA', 80000000), (6, 'SecureCorp', 'UK', 100000000), (7, 'ShieldTech', 'Israel', ... | Which defense contractors have been involved in contracts with a value greater than $75M, along with their respective headquarters and the total value of contracts they have participated in, ordered by the total contract value in descending order? | SELECT contractor_name, contractor_HQ, SUM(contract_value) AS TotalContractValue FROM Contractors WHERE contract_value > 75000000 GROUP BY contractor_name, contractor_HQ ORDER BY TotalContractValue DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE TraditionalArtsCA_SA (ArtID INT PRIMARY KEY, ArtName VARCHAR(50), Location VARCHAR(50), Type VARCHAR(50)); INSERT INTO TraditionalArtsCA_SA (ArtID, ArtName, Location, Type) VALUES (1, 'Ceramics', 'Guatemala', 'Art'), (2, 'Feather Art', 'Mexico', 'Art'); | What is the average number of traditional art forms in 'South America' and 'Central America'? | SELECT AVG(COUNT(*)) FROM TraditionalArtsCA_SA WHERE Location IN ('South America', 'Central America'); | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name TEXT, organization TEXT);CREATE TABLE donations (id INT, donor_id INT, amount DECIMAL(10,2)); INSERT INTO donors (id, name, organization) VALUES (1, 'Donor A', 'Organization 1'), (2, 'Donor B', 'Organization 2'), (3, 'Donor C', 'Organization 3'); INSERT INTO donations (id, donor_id, am... | Who are the top 3 donors, based on the total amount donated? | SELECT d.name, SUM(donations.amount) FROM donors INNER JOIN donations ON donors.id = donations.donor_id GROUP BY donors.id ORDER BY SUM(donations.amount) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_models (model_name TEXT, safety_principles INT); INSERT INTO ai_models (model_name, safety_principles) VALUES ('ModelA', 3), ('ModelB', 4), ('ModelC', 2), ('ModelD', 3); | How many AI safety principles are associated with each AI model? | SELECT model_name, safety_principles FROM ai_models; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_acidification (region TEXT, level FLOAT); INSERT INTO ocean_acidification (region, level) VALUES ('Atlantic Ocean', 7.5), ('Pacific Ocean', 7.9), ('Indian Ocean', 7.7), ('Arctic Ocean', 7.4); | What is the average ocean acidification level in the Indian Ocean? | SELECT AVG(level) FROM ocean_acidification WHERE region = 'Indian Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE model_revisions (id INT, model_name VARCHAR(50), vcs VARCHAR(50), revision_count INT); INSERT INTO model_revisions (id, model_name, vcs, revision_count) VALUES (1, 'ModelA', 'Git', 21), (2, 'ModelB', 'SVN', 15), (3, 'ModelC', 'Mercurial', 29); | What is the minimum, maximum, and average number of revisions made to AI models using different version control systems? | SELECT vcs, MIN(revision_count) as min_revision_count, MAX(revision_count) as max_revision_count, AVG(revision_count) as avg_revision_count FROM model_revisions GROUP BY vcs; | gretelai_synthetic_text_to_sql |
CREATE TABLE shows (id INT, title VARCHAR(100), genre VARCHAR(50), country VARCHAR(50), release_year INT, runtime INT); | What is the maximum and minimum runtime (in minutes) of shows in the shows table? | SELECT MAX(runtime), MIN(runtime) FROM shows; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_contracts (id INT, name VARCHAR(255)); INSERT INTO smart_contracts (id, name) VALUES (1, 'ERC20'); | What is the total number of tokens issued by the 'ERC20' smart contract? | SELECT SUM(tokens_issued) FROM smart_contract_activity WHERE smart_contract_id = (SELECT id FROM smart_contracts WHERE name = 'ERC20'); | gretelai_synthetic_text_to_sql |
CREATE TABLE RenewableEnergyProjects ( id INT, projectName VARCHAR(50), capacity INT, completionDate YEAR ); INSERT INTO RenewableEnergyProjects (id, projectName, capacity, completionDate) VALUES (1, 'SolarFarm One', 50, 2016), (2, 'WindFarm East', 100, 2017), (3, 'HydroPower Plant South', 150, 2014); | What is the average year of completion for renewable energy projects in the 'RenewableEnergyProjects' table? | SELECT AVG(completionDate) FROM RenewableEnergyProjects; | gretelai_synthetic_text_to_sql |
CREATE TABLE LinenProduction (country VARCHAR(50), water_usage INT); INSERT INTO LinenProduction VALUES ('France', 1200), ('Germany', 1000), ('France', 1500), ('Italy', 800); | What is the average water usage of linen production in France? | SELECT AVG(water_usage) FROM LinenProduction WHERE country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, monthly_fee FLOAT, plan_type VARCHAR(10), city VARCHAR(20)); INSERT INTO mobile_subscribers (subscriber_id, monthly_fee, plan_type, city) VALUES (1, 50, 'postpaid', 'Chicago'), (2, 30, 'prepaid', 'Chicago'); CREATE TABLE broadband_subscribers (subscriber_id INT, month... | What is the total revenue generated from mobile and broadband subscribers in the city of Chicago? | SELECT SUM(mobile_subscribers.monthly_fee + broadband_subscribers.monthly_fee) FROM mobile_subscribers INNER JOIN broadband_subscribers ON mobile_subscribers.subscriber_id = broadband_subscribers.subscriber_id WHERE mobile_subscribers.city = 'Chicago'; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (id INT PRIMARY KEY, mission_name VARCHAR(255), country VARCHAR(255), launch_date DATE, mission_type VARCHAR(255)); | What is the earliest launch date of any space mission? | SELECT MIN(launch_date) FROM space_missions; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers(id INT, name TEXT, department TEXT, year INT);INSERT INTO workers(id, name, department, year) VALUES (1, 'John', 'mining', 2020), (2, 'Jane', 'mining', 2019), (3, 'Mike', 'mining', 2020), (4, 'Lucy', 'mining', 2018), (5, 'Ella', 'mining', 2019); | How many workers were employed in the 'mining' department in each year they were employed? | SELECT year, COUNT(DISTINCT id) FROM workers WHERE department = 'mining' GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(255), release_year INT, runtime_minutes INT, director VARCHAR(255), topic VARCHAR(255)); | Who are the top 2 directors with the highest number of movies about media representation? | SELECT director, COUNT(*) as movie_count FROM movies WHERE topic = 'media representation' GROUP BY director ORDER BY movie_count DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Designers (DesignerID INT, DesignerName TEXT, IsSustainableFabric BOOLEAN); INSERT INTO Designers (DesignerID, DesignerName, IsSustainableFabric) VALUES (1, 'DesignerA', true), (2, 'DesignerB', false); CREATE TABLE FabricUsage (DesignerID INT, Fabric TEXT, Quantity INT); INSERT INTO FabricUsage (DesignerID... | What is the total quantity of sustainable fabric used by each designer? | SELECT DesignerName, SUM(Quantity) as TotalSustainableQuantity FROM Designers JOIN FabricUsage ON Designers.DesignerID = FabricUsage.DesignerID WHERE IsSustainableFabric = true GROUP BY DesignerName; | gretelai_synthetic_text_to_sql |
INSERT INTO music_genres_ext (id, genre, popularity) VALUES (2, 'Jazz', 1500000); | number of fans per million people in the world; use a multiplier of 1 million | SELECT 2 AS id, 'Jazz' AS genre, 1500000 AS popularity, 1500000 / (SELECT SUM(popularity) FROM music_genres_ext) * 1000000 AS fans_per_million; | gretelai_synthetic_text_to_sql |
CREATE TABLE ChemicalProduction (id INT, chemical VARCHAR(255), region VARCHAR(255), production_rate FLOAT); INSERT INTO ChemicalProduction (id, chemical, region, production_rate) VALUES (1, 'chemical X', 'southeast', 500), (2, 'chemical Y', 'northwest', 300); | What is the average production rate of chemical X in the southeast region? | SELECT AVG(production_rate) FROM ChemicalProduction WHERE chemical = 'chemical X' AND region = 'southeast'; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT, name TEXT, region TEXT, capacity_mw FLOAT); INSERT INTO projects (id, name, region, capacity_mw) VALUES (1, 'Geothermal Project 1', 'Americas', 50.2); INSERT INTO projects (id, name, region, capacity_mw) VALUES (2, 'Geothermal Project 2', 'Americas', 60.8); | What is the average capacity (in MW) of geothermal power projects in the 'Americas' region? | SELECT AVG(capacity_mw) FROM projects WHERE region = 'Americas' AND type = 'geothermal'; | gretelai_synthetic_text_to_sql |
CREATE TABLE artist (artist_id INT, artist_name VARCHAR(50)); INSERT INTO artist (artist_id, artist_name) VALUES (1, 'Artist A'), (2, 'Artist B'); CREATE TABLE song (song_id INT, song_name VARCHAR(50), artist_id INT, platform VARCHAR(20)); INSERT INTO song (song_id, song_name, artist_id, platform) VALUES (1, 'Song 1', ... | Which artists have released songs on the 'indie_platform' platform? | SELECT DISTINCT a.artist_name FROM artist a JOIN song s ON a.artist_id = s.artist_id WHERE s.platform = 'indie_platform'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies (id INT, name VARCHAR(255), region VARCHAR(255)); CREATE TABLE DigitalAssets (id INT, company_id INT, value DECIMAL(10, 2), asset_date DATE); INSERT INTO Companies (id, name, region) VALUES (1, 'CompanyA', 'South America'), (2, 'CompanyB', 'North America'), (3, 'CompanyC', 'South America'); INSER... | What is the total number of digital assets owned by companies based in South America as of 2022-12-31? | SELECT SUM(value) FROM DigitalAssets JOIN Companies ON DigitalAssets.company_id = Companies.id WHERE Companies.region = 'South America' AND DigitalAssets.asset_date <= '2022-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MuseumVisitors (visitor_id INT, museum_id INT, country VARCHAR(50)); INSERT INTO MuseumVisitors (visitor_id, museum_id, country) VALUES (1, 100, 'USA'), (2, 101, 'Canada'), (3, 102, 'Mexico'); | Which countries have the highest number of museum visitors? | SELECT country, COUNT(*) as visitor_count FROM MuseumVisitors GROUP BY country ORDER BY visitor_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Organizations (OrgID int, OrgName varchar(50), TotalFunding decimal(10,2)); INSERT INTO Organizations (OrgID, OrgName, TotalFunding) VALUES (1, 'UNHCR', 1500.00), (2, 'World Food Programme', 2000.00); CREATE TABLE RohingyaRelief (ReliefID int, OrgID int, FundingReceived decimal(10,2)); INSERT INTO Rohingya... | What is the total amount of funding received by each organization for the Rohingya refugee crisis? | SELECT OrgName, SUM(FundingReceived) as TotalReceived FROM Organizations INNER JOIN RohingyaRelief ON Organizations.OrgID = RohingyaRelief.OrgID GROUP BY OrgName; | gretelai_synthetic_text_to_sql |
CREATE TABLE temperature_data (id INT, year INT, avg_temp FLOAT); | What is the average temperature change in the Arctic circle over the last 30 years? | SELECT AVG(avg_temp) FROM temperature_data WHERE year BETWEEN (YEAR(CURRENT_DATE) - 30) AND YEAR(CURRENT_DATE) AND region = 'Arctic Circle' | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists county; CREATE TABLE if not exists county.community_policing (id INT, event_date DATE); INSERT INTO county.community_policing (id, event_date) VALUES (1, '2021-02-14'), (2, '2021-05-17'), (3, '2022-03-25'); | How many community policing events occurred in the 'county' schema in 2021? | SELECT COUNT(*) FROM county.community_policing WHERE YEAR(event_date) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE deliveries (id INT, supplier_id INT, delivery_time INT); INSERT INTO deliveries (id, supplier_id, delivery_time) VALUES (1, 1, 5), (2, 2, 7), (3, 3, 3), (4, 1, 4), (5, 2, 6); | What is the average delivery time for each supplier? | SELECT supplier_id, AVG(delivery_time) AS avg_delivery_time FROM deliveries GROUP BY supplier_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE oceans (ocean_id INT, name VARCHAR(50));CREATE TABLE marine_species (species_id INT, name VARCHAR(50), ocean_id INT);INSERT INTO oceans (ocean_id, name) VALUES (1, 'Pacific'), (2, 'Atlantic'), (3, 'Indian'), (4, 'Arctic'), (5, 'Southern');INSERT INTO marine_species (species_id, name, ocean_id) VALUES (1, '... | What are the names of the oceans with the most and least marine life diversity? | SELECT MAX(o.name) AS 'Most Diverse', MIN(o.name) AS 'Least Diverse' FROM oceans o LEFT JOIN marine_species ms ON o.ocean_id = ms.ocean_id GROUP BY o.name HAVING COUNT(DISTINCT ms.species_id) = (SELECT MAX(marine_species_count) FROM (SELECT COUNT(DISTINCT species_id) AS marine_species_count FROM marine_species GROUP BY... | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (article_id INT, title VARCHAR(50), type VARCHAR(20), country VARCHAR(20)); INSERT INTO articles (article_id, title, type, country) VALUES (1, 'News from Canada', 'news', 'Canada'), (2, 'Opinion from France', 'opinion', 'France'), (3, 'Investigation from India', 'investigation', 'India'); | What is the total number of news articles and opinion pieces, and how many unique authors have written them, for each country? | SELECT country, COUNT(*) as total_articles, COUNT(DISTINCT author_id) as unique_authors FROM (SELECT article_id, country, author_id, MAX(type) AS type FROM articles GROUP BY article_id, country, author_id) AS subquery GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_activity (activity_id INT, user_id INT, activity_time TIME); INSERT INTO user_activity (activity_id, user_id, activity_time) VALUES (1, 1, '08:00:00'), (2, 1, '09:00:00'), (3, 2, '10:00:00'), (4, 3, '11:00:00'), (5, 3, '12:00:00'); | What is the daily activity of users on our platform, grouped by hour of the day? | SELECT HOUR(activity_time) AS hour, COUNT(user_id) AS user_count FROM user_activity GROUP BY hour; | gretelai_synthetic_text_to_sql |
CREATE TABLE Orders (id INT, supplier_id INT, item VARCHAR(255), weight INT); INSERT INTO Orders (id, supplier_id, item, weight) VALUES (1, 1, 'Beef', 150), (2, 1, 'Chicken', 80), (3, 2, 'Beef', 200), (4, 2, 'Turkey', 120); CREATE TABLE Suppliers (id INT, name VARCHAR(255)); INSERT INTO Suppliers (id, name) VALUES (1, ... | What is the total weight of beef sourced from 'GrassFedCattleCo'? | SELECT SUM(weight) FROM Orders WHERE item = 'Beef' AND supplier_id IN (SELECT id FROM Suppliers WHERE name = 'GrassFedCattleCo'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Visitors (VisitorID int, VisitorName varchar(100), VisitDate date, MuseumName varchar(100)); INSERT INTO Visitors (VisitorID, VisitorName, VisitDate, MuseumName) VALUES (1, 'Visitor A', '2022-01-01', 'Louvre Museum'), (2, 'Visitor B', '2022-01-02', 'Louvre Museum'), (3, 'Visitor A', '2022-01-03', 'Louvre M... | Who is the most frequent visitor to the Louvre Museum? | SELECT VisitorName, COUNT(*) as Visits FROM Visitors WHERE MuseumName = 'Louvre Museum' GROUP BY VisitorName ORDER BY Visits DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE electric_vehicles (id INT, speed FLOAT, city VARCHAR(50)); | What is the average speed of electric vehicles in New York City? | SELECT AVG(speed) FROM electric_vehicles WHERE city = 'New York City'; | gretelai_synthetic_text_to_sql |
CREATE TABLE meat_imports (import_id INT, import_date DATE, product VARCHAR(255), weight INT, country VARCHAR(255)); | What is the total weight of meat imported from Brazil in the meat_imports table? | SELECT SUM(weight) FROM meat_imports WHERE product LIKE '%meat%' AND country = 'Brazil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE stadiums_2 (name TEXT, city TEXT, capacity INTEGER); INSERT INTO stadiums_2 (name, city, capacity) VALUES ('Soldier Field', 'Chicago', 65000), ('United Center', 'Chicago', 21000), ('Wrigley Field', 'Chicago', 40000); CREATE TABLE games_2 (sport TEXT, team TEXT, price DECIMAL(5,2)); INSERT INTO games_2 (spo... | What is the average ticket price for all games in Chicago? | SELECT AVG(price) FROM games_2 WHERE team IN (SELECT team FROM stadiums_2 WHERE city = 'Chicago'); | gretelai_synthetic_text_to_sql |
CREATE TABLE providers (id INT PRIMARY KEY, name VARCHAR(100), city VARCHAR(50), specialty VARCHAR(50)); | Update the record for provider with ID 12345 to reflect their new title, 'Senior Community Health Worker' | UPDATE providers SET specialty = 'Senior Community Health Worker' WHERE id = 12345; | gretelai_synthetic_text_to_sql |
CREATE TABLE claims (policyholder_id INT, claim_amount DECIMAL(10,2), state VARCHAR(2)); INSERT INTO claims (policyholder_id, claim_amount, state) VALUES (1, 500, 'AZ'), (2, 200, 'AZ'), (3, 800, 'AZ'); | Show the total number of claims and the average claim amount for policyholders in Arizona | SELECT state, COUNT(*), AVG(claim_amount) FROM claims WHERE state = 'AZ' GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE Albums (AlbumID INT, AlbumName VARCHAR(100), ReleaseYear INT, Artist VARCHAR(100)); INSERT INTO Albums (AlbumID, AlbumName, ReleaseYear, Artist) VALUES (1, 'DAMN', 2017, 'Kendrick Lamar'); INSERT INTO Albums (AlbumID, AlbumName, ReleaseYear, Artist) VALUES (2, 'Reputation', 2017, 'Taylor Swift'); INSERT IN... | What are the names of the artists who have released albums in both 2017 and 2018? | SELECT Artist FROM Albums WHERE ReleaseYear = 2017 INTERSECT SELECT Artist FROM Albums WHERE ReleaseYear = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE Departments (Department_ID INT, Department_Name VARCHAR(20), Manager_ID INT, Location VARCHAR(20)); CREATE TABLE Employees (Employee_ID INT, First_Name VARCHAR(20), Last_Name VARCHAR(20), Department VARCHAR(20), Salary DECIMAL(10,2), Date_Hired DATE); | Who is the manager for the IT department? | SELECT e.First_Name, e.Last_Name FROM Employees e JOIN Departments d ON e.Employee_ID = d.Manager_ID WHERE d.Department_Name = 'IT'; | gretelai_synthetic_text_to_sql |
CREATE TABLE properties (property_id INT, year INT, property_tax FLOAT); | Identify properties with the largest decrease in property tax between 2020 and 2021? | SELECT property_id, (property_tax_2020 - property_tax_2021) as tax_decrease FROM (SELECT property_id, property_tax as property_tax_2021, LAG(property_tax) OVER (PARTITION BY property_id ORDER BY year) as property_tax_2020 FROM properties WHERE year IN (2020, 2021)) t WHERE property_tax_2021 IS NOT NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE terbium_production (country VARCHAR(255), price DECIMAL(10,2)); INSERT INTO terbium_production (country, price) VALUES ('Japan', 400.00); | What is the minimum price of terbium produced in Japan? | SELECT MIN(price) FROM terbium_production WHERE country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE port (port_id INT, port_name VARCHAR(50)); INSERT INTO port (port_id, port_name) VALUES (1, 'Port of Barcelona'), (2, 'Port of Valencia'), (3, 'Port of Lisbon'); CREATE TABLE vessel (vessel_id INT, vessel_name VARCHAR(50)); CREATE TABLE transport (transport_id INT, cargo_id INT, vessel_id INT, port_id INT)... | What are the names of the ports where 'Vessel Q' has transported cargo? | SELECT port_name FROM port WHERE port_id IN (SELECT port_id FROM transport WHERE vessel_id = (SELECT vessel_id FROM vessel WHERE vessel_name = 'Vessel Q')); | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (id INT, name TEXT, country TEXT, donation_amount DECIMAL(10, 2), donation_date DATE); INSERT INTO Donors (id, name, country, donation_amount, donation_date) VALUES (1, 'John Doe', 'India', 100.00, '2021-01-01'); INSERT INTO Donors (id, name, country, donation_amount, donation_date) VALUES (2, 'Soph... | Delete all records related to donations made by 'Sophia Lee' from Singapore. | DELETE FROM Donors WHERE name = 'Sophia Lee' AND country = 'Singapore'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels(id INT, name VARCHAR(100), region VARCHAR(50));CREATE TABLE incidents(id INT, vessel_id INT, incident_date DATE); | What is the number of safety incidents for each vessel in the Pacific Ocean in 2018? | SELECT v.name, COUNT(*) AS incident_count FROM incidents i JOIN vessels v ON i.vessel_id = v.id WHERE v.region = 'Pacific Ocean' AND incident_date BETWEEN '2018-01-01' AND '2018-12-31' GROUP BY v.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_development (id INT, name TEXT, program TEXT, budget INT); INSERT INTO community_development (id, name, program, budget) VALUES (1, 'Initiative A', 'Sustainable Livelihoods', 200000), (2, 'Initiative B', 'Urban Development', 300000); | List the budget for each community development initiative in the 'Sustainable Livelihoods' program. | SELECT name, budget FROM community_development WHERE program = 'Sustainable Livelihoods'; | gretelai_synthetic_text_to_sql |
CREATE TABLE contract_negotiations (negotiation_id INTEGER, start_date DATE, end_date DATE, country1 TEXT, country2 TEXT, negotiator1 TEXT, negotiator2 TEXT); | Which defense contract negotiations involved the USA or Russia, between 2017 and 2019, and which negotiators were involved? | SELECT * FROM contract_negotiations WHERE (country1 = 'USA' OR country2 = 'USA') OR (country1 = 'Russia' OR country2 = 'Russia') AND start_date BETWEEN '2017-01-01' AND '2019-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE HealthEquity (HEID int, CHWID int, Score int); | What is the health equity metric score for each community health worker? | SELECT CHWID, AVG(Score) as AvgScore FROM HealthEquity GROUP BY CHWID; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (id INT, name VARCHAR(255), type VARCHAR(255), revenue FLOAT); INSERT INTO restaurants (id, name, type, revenue) VALUES (1, 'Restaurant A', 'Italian', 5000.00), (2, 'Restaurant B', 'Vegan', 7000.00), (3, 'Restaurant C', 'Mexican', 3000.00); | List the restaurants that have a higher average revenue than the overall average revenue. | SELECT name FROM restaurants WHERE revenue > (SELECT AVG(revenue) FROM restaurants); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_pollutants (id INT, location VARCHAR(255), type VARCHAR(255), concentration FLOAT); INSERT INTO marine_pollutants (id, location, type, concentration) VALUES (1, 'Atlantic Ocean', 'Microplastics', 0.005); | Total microplastics concentration in Atlantic | SELECT location, SUM(concentration) FROM marine_pollutants WHERE type = 'Microplastics' GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE Students (ID INT, Program VARCHAR(50), Gender VARCHAR(10), EnrollmentYear INT); INSERT INTO Students (ID, Program, Gender, EnrollmentYear) VALUES (1, 'Computer Science', 'Female', 2020), (2, 'Electrical Engineering', 'Male', 2019); | How many female graduate students are enrolled in the 'Computer Science' program? | SELECT COUNT(*) FROM Students WHERE Program = 'Computer Science' AND Gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospital (hospital_id INT, name VARCHAR(50), state VARCHAR(20), num_of_beds INT); INSERT INTO hospital (hospital_id, name, state, num_of_beds) VALUES (1, 'Rural Hospital A', 'Texas', 120); INSERT INTO hospital (hospital_id, name, state, num_of_beds) VALUES (2, 'Rural Hospital B', 'California', 80); INSERT ... | What is the total number of hospitals in each state that have more than 100 beds? | SELECT state, COUNT(*) FROM hospital WHERE num_of_beds > 100 GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE CulturalHeritage (site_id INT, site_date DATE, region VARCHAR(20), preservation_cost FLOAT); INSERT INTO CulturalHeritage (site_id, site_date, region, preservation_cost) VALUES (15, '2022-01-01', 'Asia', 250.0), (15, '2022-01-02', 'Asia', 200.0), (16, '2022-01-03', 'Europe', 150.0); | Calculate the average preservation cost for cultural heritage sites with more than two site dates in the Asia region. | SELECT region, AVG(preservation_cost) as avg_preservation_cost FROM CulturalHeritage WHERE region = 'Asia' GROUP BY region HAVING COUNT(site_date) > 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE weather_data (region VARCHAR(255), year INT, temperature FLOAT); | What is the average temperature change in the Arctic Circle region over the last 10 years? | SELECT AVG(temperature) FROM (SELECT temperature FROM weather_data WHERE region = 'Arctic Circle' AND year BETWEEN 2012 AND 2022) subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, customer_name TEXT, registration_date TEXT, country TEXT, financing_type TEXT); INSERT INTO customers (customer_id, customer_name, registration_date, country, financing_type) VALUES (1, 'Ali', '2022-01-15', 'Turkey', 'Shariah-compliant'), (2, 'Zeynep', '2022-02-20', 'Turkey', 'C... | What is the average loan amount and maturity for customers who have taken out loans in the last 6 months, in Turkey, considering only Shariah-compliant financing? | SELECT AVG(loan_amount), AVG(maturity) FROM customers JOIN loans ON customers.customer_id = loans.customer_id WHERE country = 'Turkey' AND financing_type = 'Shariah-compliant' AND loans.loan_date >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id INT, name VARCHAR(100), game VARCHAR(50)); | Delete a player from the players table | DELETE FROM players WHERE player_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE dishes (id INT, name VARCHAR(255)); INSERT INTO dishes (id, name) VALUES (1, 'Chicken Alfredo'), (2, 'Vegan Pizza'), (3, 'Beef Stroganoff'), (4, 'Shrimp Scampi'), (5, 'Tofu Stir Fry'); CREATE TABLE allergens (id INT, dish_id INT, name VARCHAR(255)); INSERT INTO allergens (id, dish_id, name) VALUES (1, 1, '... | Identify dishes that contain any allergen and their respective allergens. | SELECT d.name as dish, array_agg(a.name) as allergens FROM dishes d JOIN allergens a ON d.id = a.dish_id GROUP BY d.id HAVING COUNT(DISTINCT a.name) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (client_id INT, investment_strategy VARCHAR(50), age INT, investment_date DATE); INSERT INTO investments (client_id, investment_strategy, age, investment_date) VALUES (1, 'Stocks', 35, '2022-01-10'), (2, 'Bonds', 45, '2022-01-15'), (3, 'Stocks', 32, '2022-02-01'); | Which investment strategies were most popular among clients aged 30-40 in Q1 2022? | SELECT investment_strategy, COUNT(*) as popularity FROM investments WHERE age BETWEEN 30 AND 40 AND investment_date BETWEEN '2022-01-01' AND '2022-03-31' GROUP BY investment_strategy; | gretelai_synthetic_text_to_sql |
CREATE TABLE MusicInstruments (id INT, instrument VARCHAR(255), country VARCHAR(255)); INSERT INTO MusicInstruments (id, instrument, country) VALUES (1, 'Didgeridoo', 'Australia'), (2, 'Kora', 'Senegal'), (3, 'Sitar', 'India'); | How many traditional music instruments are documented for each country? | SELECT country, COUNT(*) FROM MusicInstruments GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Fares (FareID INT, City VARCHAR(50), Fare DECIMAL(10,2)); INSERT INTO Fares (FareID, City, Fare) VALUES (1, 'CityA', 2.5), (2, 'CityA', 3.0), (3, 'CityB', 5.0); | What is the maximum fare in each city? | SELECT City, MAX(Fare) as MaxFare FROM Fares GROUP BY City; | gretelai_synthetic_text_to_sql |
CREATE TABLE workplaces (id INT, workplace_name VARCHAR(255), region VARCHAR(255)); INSERT INTO workplaces (id, workplace_name, region) VALUES (1, 'Workplace A', 'Southern'), (2, 'Workplace B', 'Southern'), (3, 'Workplace C', 'Northern'); CREATE TABLE violations (id INT, workplace_id INT, violation_count INT); INSERT I... | Delete all records of workplace violations in the Southern region. | DELETE FROM violations WHERE id IN (SELECT v.id FROM violations v JOIN workplaces w ON v.workplace_id = w.id WHERE w.region = 'Southern'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (ProgramID INT, ProgramType TEXT, ProgramBudget DECIMAL(10,2), ProgramStartDate DATE, ProgramEndDate DATE); INSERT INTO Programs (ProgramID, ProgramType, ProgramBudget, ProgramStartDate, ProgramEndDate) VALUES (1, 'Climate Change Education', 7000.00, '2022-04-01', '2022-06-30'); | What was the total budget spent on programs focused on climate change education in Q2 2022? | SELECT SUM(ProgramBudget) as TotalBudget FROM Programs WHERE ProgramType = 'Climate Change Education' AND ProgramStartDate <= '2022-06-30' AND ProgramEndDate >= '2022-04-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE detections (id INT, threat_type VARCHAR(255), region VARCHAR(255), detection_date DATE); INSERT INTO detections (id, threat_type, region, detection_date) VALUES (1, 'Malware', 'Africa', '2022-02-01'), (2, 'Phishing', 'Africa', '2022-02-02'), (3, 'Ransomware', 'Africa', '2022-02-03'), (4, 'Spyware', 'Africa... | What are the top 3 threat types detected in the African region in the last month? | SELECT threat_type, COUNT(*) AS detection_count FROM detections WHERE region = 'Africa' AND detection_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY threat_type ORDER BY detection_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_records (record_id INT, product_id INT, incident_date DATE); INSERT INTO safety_records (record_id, product_id, incident_date) VALUES (1, 101, '2022-01-15'), (2, 102, '2022-03-04'), (3, 103, '2022-05-09'); | Safety incidents by product in the last 6 months? | SELECT product_id, COUNT(*) as safety_incidents FROM safety_records WHERE incident_date >= DATEADD(month, -6, GETDATE()) GROUP BY product_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, date DATE, revenue FLOAT); INSERT INTO sales (id, date, revenue) VALUES (1, '2022-01-01', 5000.00), (2, '2022-02-01', 6000.00), (3, '2022-03-01', 7000.00); | What is the total revenue for each month of the year? | SELECT DATE_FORMAT(date, '%Y-%m') as month, SUM(revenue) as total_revenue FROM sales GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE electric_vehicles (id INT, model VARCHAR(50), type VARCHAR(20)); INSERT INTO electric_vehicles (id, model, type) VALUES (1, 'Tesla Model S', 'Electric'), (2, 'Tesla Model 3', 'Electric'); | Find the difference between the number of electric and autonomous vehicles. | SELECT (SELECT COUNT(*) FROM electric_vehicles) - (SELECT COUNT(*) FROM autonomous_vehicles) AS difference; | gretelai_synthetic_text_to_sql |
CREATE TABLE decentralized_exchanges (exchange_name VARCHAR(255), digital_asset VARCHAR(255), trading_volume DECIMAL(10, 2)); | What is the distribution of digital assets across decentralized exchanges and their respective trading volumes in the 'decentralized_exchanges' table? | SELECT de.digital_asset, de.exchange_name, SUM(de.trading_volume) as total_volume FROM decentralized_exchanges de GROUP BY de.digital_asset, de.exchange_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (well_id varchar(10), production int, datetime date); INSERT INTO wells (well_id, production, datetime) VALUES ('W003', 1700, '2021-01-01'); | What is the total production of well 'W003' in the year 2021? | SELECT SUM(production) FROM wells WHERE well_id = 'W003' AND YEAR(datetime) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE model_fairness (id INT, model_name VARCHAR(50), dataset_region VARCHAR(50), fairness_score FLOAT); INSERT INTO model_fairness (id, model_name, dataset_region, fairness_score) VALUES (1, 'ModelA', 'North America', 0.85), (2, 'ModelB', 'Europe', 0.92), (3, 'ModelC', 'Asia', 0.88); | What is the distribution of model fairness scores for models trained on datasets from different regions? | SELECT dataset_region, AVG(fairness_score) as avg_fairness_score FROM model_fairness GROUP BY dataset_region; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (attorney_id INT, cases_handled INT); INSERT INTO attorneys (attorney_id, cases_handled) VALUES (1, 20), (2, 15), (3, 30), (4, 10); CREATE TABLE clients (client_id INT, attorney_id INT, industry VARCHAR(255)); INSERT INTO clients (client_id, attorney_id, industry) VALUES (1, 1, 'healthcare'), (2,... | How many cases were handled by attorneys in the technology industry? | SELECT SUM(attorneys.cases_handled) FROM attorneys INNER JOIN clients ON attorneys.attorney_id = clients.attorney_id INNER JOIN cases ON clients.client_id = cases.client_id WHERE clients.industry = 'technology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT, industry VARCHAR(255), salary FLOAT, union_member BOOLEAN); INSERT INTO workers (id, industry, salary, union_member) VALUES (1, 'Manufacturing', 50000.0, true), (2, 'Technology', 80000.0, true), (3, 'Retail', 30000.0, false); | What is the maximum salary of workers in the 'Technology' industry who are part of a union? | SELECT MAX(salary) FROM workers WHERE industry = 'Technology' AND union_member = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE SoftwareVulnerabilities (id INT, software VARCHAR(255), vulnerability_date DATE); INSERT INTO SoftwareVulnerabilities (id, software, vulnerability_date) VALUES (1, 'Firefox', '2022-03-12'), (2, 'Chrome', '2022-03-05'), (3, 'Firefox', '2022-03-07'); | What is the total number of vulnerabilities found in the last week for each software? | SELECT SoftwareVulnerabilities.software AS Software, COUNT(*) AS Total_Vulnerabilities FROM SoftwareVulnerabilities WHERE SoftwareVulnerabilities.vulnerability_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 WEEK) GROUP BY SoftwareVulnerabilities.software; | gretelai_synthetic_text_to_sql |
CREATE TABLE Members (MemberID INT, Age INT, Gender VARCHAR(10), JoinDate DATE); INSERT INTO Members (MemberID, Age, Gender, JoinDate) VALUES (1, 35, 'Male', '2022-01-01'), (2, 28, 'Female', '2021-01-01'), (3, 42, 'Male', '2022-01-01'); CREATE TABLE Workouts (WorkoutID INT, MemberID INT, WorkoutDate DATE); INSERT INTO ... | What is the total number of workouts done by members who joined in 2022? | SELECT COUNT(*) FROM Workouts INNER JOIN Members ON Workouts.MemberID = Members.MemberID WHERE Members.JoinDate >= '2022-01-01' AND Members.JoinDate < '2023-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE seafood_certifications (id INT, country VARCHAR(50), certification VARCHAR(50)); INSERT INTO seafood_certifications (id, country, certification) VALUES (1, 'Norway', 'MSC'), (2, 'Norway', 'ASC'), (3, 'Canada', 'MSC'); | Find countries with more than one sustainable seafood certification. | SELECT country FROM seafood_certifications GROUP BY country HAVING COUNT(DISTINCT certification) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouse_cost (item_id INT, warehouse_id TEXT, cost FLOAT, order_date DATE); | What is the average warehouse management cost per item for each warehouse in Q3 2021, excluding warehouse 'WH-003'? | SELECT warehouse_id, AVG(cost/COUNT(*)) as avg_cost_per_item FROM warehouse_cost WHERE EXTRACT(MONTH FROM order_date) BETWEEN 7 AND 9 AND warehouse_id != 'WH-003' GROUP BY warehouse_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE funding (funding_id INT, amount FLOAT, region VARCHAR(50)); CREATE TABLE education_programs (program_id INT, funding_id INT, animal_id INT); | What is the total amount of funds spent on community education programs, grouped by the region, in the 'funding' and 'education_programs' tables? | SELECT e.region, SUM(f.amount) FROM funding f INNER JOIN education_programs e ON f.funding_id = e.funding_id GROUP BY e.region; | gretelai_synthetic_text_to_sql |
CREATE TABLE properties (id INT, neighborhood VARCHAR(20), meets_policy BOOLEAN); INSERT INTO properties (id, neighborhood, meets_policy) VALUES (1, 'Neighborhood A', true), (2, 'Neighborhood B', false), (3, 'Neighborhood C', true); | What is the number of properties available in each neighborhood meeting inclusive housing policies? | SELECT neighborhood, COUNT(*) FROM properties WHERE meets_policy = true GROUP BY neighborhood; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (ProgramID INT, Program TEXT, Budget DECIMAL); INSERT INTO Programs (ProgramID, Program, Budget) VALUES (1, 'Women Empowerment', 20000); | Update budget for 'Women Empowerment' program to 25000 | UPDATE Programs SET Budget = 25000 WHERE Program = 'Women Empowerment'; | gretelai_synthetic_text_to_sql |
CREATE TABLE drought_impact (region VARCHAR(20), state VARCHAR(20), population INT); INSERT INTO drought_impact (region, state, population) VALUES ('Central Valley', 'California', 600000), ('Los Angeles', 'California', 4000000), ('San Diego', 'California', 1500000); | Which drought-impacted regions in the state of California have a population greater than 500,000? | SELECT region FROM drought_impact WHERE state = 'California' AND population > 500000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Spacecraft (SpacecraftID INT, PropulsionSystem VARCHAR, Mass FLOAT); | What is the total mass of all spacecraft that use a specific type of propulsion system? | SELECT SUM(Mass) FROM Spacecraft WHERE PropulsionSystem = 'Ion Thruster'; | gretelai_synthetic_text_to_sql |
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