context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
values |
|---|---|---|---|
CREATE TABLE clients (client_id INT, region VARCHAR(20), currency VARCHAR(10)); INSERT INTO clients (client_id, region, currency) VALUES (1, 'Europe', 'EUR'), (2, 'Asia', 'USD'), (3, 'Africa', 'USD'), (4, 'Americas', 'USD'), (5, 'Americas', 'CAD'); CREATE TABLE assets (asset_id INT, client_id INT, value INT); INSERT IN... | What is the total value of assets for clients in the 'Americas' region, grouped by currency? | SELECT clients.currency, SUM(assets.value) AS total_assets FROM clients INNER JOIN assets ON clients.client_id = assets.client_id WHERE clients.region = 'Americas' GROUP BY clients.currency; | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity (location TEXT, current_capacity INTEGER, total_capacity INTEGER); INSERT INTO landfill_capacity (location, current_capacity, total_capacity) VALUES ('site3', 90000, 120000); | Update the current capacity of landfill 'site3' by a specified amount. | UPDATE landfill_capacity SET current_capacity = current_capacity - 2000 WHERE location = 'site3'; | gretelai_synthetic_text_to_sql |
CREATE TABLE program_donations (program_id INT, donation_id INT, donation_amount DECIMAL(10,2)); INSERT INTO program_donations (program_id, donation_id, donation_amount) VALUES (1, 1, 50.00); INSERT INTO program_donations (program_id, donation_id, donation_amount) VALUES (1, 2, 50.00); INSERT INTO program_donations (pr... | What is the average donation amount for each program? | SELECT program_id, AVG(donation_amount) FROM program_donations GROUP BY program_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessel_types (vessel_type VARCHAR(50), min_speed DECIMAL(5,2)); CREATE TABLE vessel_performance (vessel_id INT, vessel_type VARCHAR(50), speed DECIMAL(5,2)); | What is the minimum speed for vessels of type 'container ship'? | SELECT min_speed FROM vessel_types WHERE vessel_type = 'container ship'; | gretelai_synthetic_text_to_sql |
CREATE TABLE policy_info (policy_id INT, policy_holder TEXT, coverage_amount INT); INSERT INTO policy_info (policy_id, policy_holder, coverage_amount) VALUES (1, 'John Smith', 600000), (2, 'Jane Doe', 400000), (3, 'Mike Johnson', 700000); | Update 'John Smith's' policy coverage amount to $750,000 in the policy_info table | UPDATE policy_info SET coverage_amount = 750000 WHERE policy_holder = 'John Smith'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EcoFriendlyTours (tour_id INT, tour_name TEXT, country TEXT, local_economic_impact FLOAT); INSERT INTO EcoFriendlyTours (tour_id, tour_name, country, local_economic_impact) VALUES (1, 'Rainforest Adventure', 'Costa Rica', 11000.0), (2, 'Volcano Hike', 'Costa Rica', 10000.0); | What is the average local economic impact of eco-friendly tours in Costa Rica? | SELECT AVG(local_economic_impact) FROM EcoFriendlyTours WHERE country = 'Costa Rica'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, name VARCHAR(50), region VARCHAR(20), account_balance DECIMAL(10,2)); INSERT INTO customers (customer_id, name, region, account_balance) VALUES (1, 'John Doe', 'South', 5000.00), (2, 'Jane Smith', 'North', 7000.00); | What is the average account balance for the top 25% of socially responsible lending customers in the South region? | SELECT AVG(account_balance) FROM (SELECT account_balance FROM customers WHERE region = 'South' AND product_type = 'Socially Responsible Lending' ORDER BY account_balance DESC LIMIT 25) AS top_customers; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cases (CaseID INT, AttorneyID INT, OfficeLocation VARCHAR(20)); INSERT INTO Cases (CaseID, AttorneyID, OfficeLocation) VALUES (101, 1, 'Downtown'), (102, 3, 'Uptown'), (103, 2, 'Downtown'); CREATE TABLE Attorneys (AttorneyID INT, OfficeLocation VARCHAR(20)); INSERT INTO Attorneys (AttorneyID, OfficeLocatio... | How many cases were won by attorneys from the 'Downtown' office location? | SELECT COUNT(*) FROM Cases JOIN Attorneys ON Cases.AttorneyID = Attorneys.AttorneyID WHERE OfficeLocation = 'Downtown'; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, name TEXT); CREATE TABLE therapy_sessions (id INT, patient_id INT); CREATE TABLE medication_management (id INT, patient_id INT); INSERT INTO patients (id, name) VALUES (1, 'John Doe'); INSERT INTO patients (id, name) VALUES (2, 'Jane Smith'); INSERT INTO therapy_sessions (id, patient_id) ... | List all patients who received both therapy and medication management? | SELECT patients.name FROM patients INNER JOIN therapy_sessions ON patients.id = therapy_sessions.patient_id INNER JOIN medication_management ON patients.id = medication_management.patient_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE inventory (warehouse_id VARCHAR(5), total_quantity INT); INSERT INTO inventory (warehouse_id, total_quantity) VALUES ('W01', 600), ('W02', 450), ('W03', 700), ('W04', 300); | Which warehouse has the least inventory? | SELECT warehouse_id FROM inventory ORDER BY total_quantity LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (factory_id INT, name VARCHAR(100), location VARCHAR(100), sector VARCHAR(100), production_output INT); INSERT INTO factories (factory_id, name, location, sector, production_output) VALUES (1, 'ABC Factory', 'New York', 'Wind', 5500), (2, 'XYZ Factory', 'California', 'Solar', 4000), (3, 'LMN Fact... | What is the average production output of factories in the wind energy sector? | SELECT AVG(production_output) FROM factories WHERE sector = 'Wind'; | gretelai_synthetic_text_to_sql |
CREATE TABLE temperature_data (crop_type VARCHAR(50), measurement_date DATE, temperature DECIMAL(5,2)); | Determine the maximum temperature for soybeans in the last week | SELECT MAX(temperature) FROM temperature_data WHERE crop_type = 'soybeans' AND measurement_date >= NOW() - INTERVAL '7 days'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Chemicals (Id INT, Name VARCHAR(255), Manufacturing_Country VARCHAR(255)); CREATE TABLE Safety_Protocols (Id INT, Chemical_Id INT, Safety_Measure VARCHAR(255)); INSERT INTO Chemicals (Id, Name, Manufacturing_Country) VALUES (1, 'Hydrochloric Acid', 'USA'); INSERT INTO Safety_Protocols (Id, Chemical_Id, Saf... | Which chemicals require 'Respirator' safety measures in the USA? | SELECT Chemicals.Name FROM Chemicals INNER JOIN Safety_Protocols ON Chemicals.Id = Safety_Protocols.Chemical_Id WHERE Safety_Protocols.Safety_Measure = 'Respirator'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SeafoodAustraliaNZ (id INT, country VARCHAR(50), year INT, tons_produced INT); INSERT INTO SeafoodAustraliaNZ (id, country, year, tons_produced) VALUES (1, 'Australia', 2018, 1800), (2, 'New Zealand', 2018, 1900), (3, 'Australia', 2018, 1700), (4, 'New Zealand', 2018, 1600); | What is the maximum amount of seafood (in tons) produced by aquaculture farms in Australia and New Zealand, for the year 2018? | SELECT MAX(tons_produced) FROM SeafoodAustraliaNZ WHERE country IN ('Australia', 'New Zealand') AND year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE salesperson_sales (salesperson_id INT, salesperson_name VARCHAR(255), sale_date DATE, revenue DECIMAL(10,2)); INSERT INTO salesperson_sales (salesperson_id, salesperson_name, sale_date, revenue) VALUES (1, 'John Doe', '2022-01-02', 100.00), (2, 'Jane Smith', '2022-01-03', 150.00), (3, 'Bob Johnson', '2022-... | What was the total revenue for each salesperson in the first quarter of 2022? | SELECT salesperson_name, SUM(revenue) as total_revenue FROM salesperson_sales WHERE sale_date BETWEEN '2022-01-01' AND '2022-03-31' GROUP BY salesperson_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_name TEXT, campaign TEXT, amount INT, donation_date DATE); INSERT INTO donations (id, donor_name, campaign, amount, donation_date) VALUES (1, 'John Doe', 'Housing for All', 25, '2021-01-01'); INSERT INTO donations (id, donor_name, campaign, amount, donation_date) VALUES (2, 'Jane S... | What is the minimum donation amount received for the 'Housing for All' campaign? | SELECT MIN(amount) FROM donations WHERE campaign = 'Housing for All'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production_time(garment VARCHAR(20), region VARCHAR(20), production_time INT); INSERT INTO production_time VALUES('Jackets', 'North America', 20); | Find the 'Production Time' for 'Jackets' in 'North America'. | SELECT production_time FROM production_time WHERE garment = 'Jackets' AND region = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE reo_production (id INT PRIMARY KEY, reo_type VARCHAR(50), production_quantity INT, production_year INT); | Get the total production quantity of Dysprosium Oxide in 2022 from the reo_production table | SELECT SUM(production_quantity) FROM reo_production WHERE reo_type = 'Dysprosium Oxide' AND production_year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE TuberculosisInfections (ID INT, PatientName VARCHAR(50), Region VARCHAR(50), InfectionDate DATE); INSERT INTO TuberculosisInfections (ID, PatientName, Region, InfectionDate) VALUES (1, 'John', 'North', '2021-01-01'); | What is the infection rate for Tuberculosis in each region, ordered by the infection rate? | SELECT Region, COUNT(*) * 100000 / (SELECT COUNT(*) FROM TuberculosisInfections) AS InfectionRate FROM TuberculosisInfections GROUP BY Region ORDER BY InfectionRate DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE LandfillCapacity (year INT, region VARCHAR(50), landfill VARCHAR(50), capacity FLOAT, filled_volume FLOAT); INSERT INTO LandfillCapacity (year, region, landfill, capacity, filled_volume) VALUES (2018, 'North America', 'Landfill A', 100000, 95000), (2018, 'Europe', 'Landfill B', 120000, 110000), (2018, 'Asi... | How many landfills had reached their capacity in 2018, including only data from South America and Africa? | SELECT COUNT(*) FROM LandfillCapacity WHERE year = 2018 AND region IN ('South America', 'Africa') AND filled_volume >= capacity; | gretelai_synthetic_text_to_sql |
CREATE TABLE subscribers (id INT, name TEXT, data_usage FLOAT, region TEXT); INSERT INTO subscribers (id, name, data_usage, region) VALUES (1, 'John Doe', 15.0, 'rural'); INSERT INTO subscribers (id, name, data_usage, region) VALUES (2, 'Jane Smith', 20.0, 'rural'); | What is the average monthly data usage for customers in the 'rural' region? | SELECT AVG(data_usage) FROM subscribers WHERE region = 'rural'; | gretelai_synthetic_text_to_sql |
CREATE TABLE VolunteerPrograms (VolunteerID INT, ProgramID INT, VolunteerName TEXT); | What are the names of the volunteers who have participated in both the Education and Health programs from the VolunteerPrograms table? | SELECT VolunteerName FROM VolunteerPrograms WHERE ProgramID IN (1, 2) GROUP BY VolunteerName HAVING COUNT(DISTINCT ProgramID) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, brand VARCHAR(255), revenue FLOAT, return_reason VARCHAR(255)); | What is the total revenue for each brand, excluding returns? | SELECT brand, SUM(revenue) FROM sales WHERE return_reason IS NULL GROUP BY brand; | gretelai_synthetic_text_to_sql |
CREATE TABLE forests_carbon_trend (id INT, type VARCHAR(20), year INT, carbon FLOAT); INSERT INTO forests_carbon_trend (id, type, year, carbon) VALUES (1, 'Temperate', 2020, 1200000), (2, 'Temperate', 2021, 1300000); | Determine the yearly increase in carbon sequestration for all forest types | SELECT type, YEAR(creation_date) AS year, SUM(carbon) - LAG(SUM(carbon)) OVER (PARTITION BY type ORDER BY YEAR(creation_date)) AS yearly_increase FROM forests_carbon_trend GROUP BY type, year; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups(id INT, name TEXT, industry TEXT, founder_ability TEXT); INSERT INTO startups (id, name, industry, founder_ability) VALUES (1, 'RetailAbility', 'Retail', 'Disabled'); | What is the count of startups founded by people with disabilities in the retail sector? | SELECT COUNT(*) FROM startups WHERE industry = 'Retail' AND founder_ability = 'Disabled'; | gretelai_synthetic_text_to_sql |
CREATE TABLE OrganicProducts (product VARCHAR(255), country VARCHAR(255), revenue DECIMAL(10,2)); INSERT INTO OrganicProducts (product, country, revenue) VALUES ('Cleanser', 'UK', 500), ('Toner', 'UK', 700), ('Moisturizer', 'UK', 800), ('Cleanser', 'UK', 600); | What is the total revenue of organic skincare products in the UK? | SELECT SUM(revenue) FROM OrganicProducts WHERE product LIKE 'Cleanser%' OR product LIKE 'Toner%' OR product LIKE 'Moisturizer%' AND country = 'UK'; | gretelai_synthetic_text_to_sql |
CREATE TABLE health_metrics (id INT, species VARCHAR(50), metric FLOAT); INSERT INTO health_metrics (id, species, metric) VALUES (1, 'Tilapia', 75.0), (2, 'Catfish', 80.0), (3, 'Salmon', 60.0); | Which aquatic species have health metrics below average? | SELECT species FROM health_metrics WHERE metric < (SELECT AVG(metric) FROM health_metrics); | gretelai_synthetic_text_to_sql |
CREATE TABLE mitigation_projects (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), budget FLOAT, start_date DATE, end_date DATE); | Create a table named 'mitigation_projects' | CREATE TABLE mitigation_projects (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), budget FLOAT, start_date DATE, end_date DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE teacher_pd (teacher_id INT, name TEXT, pd_hours INT, pd_date DATE); INSERT INTO teacher_pd (teacher_id, name, pd_hours, pd_date) VALUES (1, 'John Doe', 15, '2022-01-01'), (2, 'Jane Smith', 25, '2022-01-15'), (3, 'Mike Johnson', 10, '2022-02-01'); | List the names and professional development hours of teachers who have completed more than 20 hours of professional development in the last 6 months. | SELECT name, pd_hours FROM teacher_pd WHERE pd_date >= DATEADD(month, -6, GETDATE()) AND pd_hours > 20; | gretelai_synthetic_text_to_sql |
CREATE TABLE Excavations (ExcavationID INT, Site VARCHAR(50)); INSERT INTO Excavations (ExcavationID, Site) VALUES (1, 'Ancient City'); INSERT INTO Excavations (ExcavationID, Site) VALUES (2, 'Lost Village'); CREATE TABLE Artifacts (ArtifactID INT, ExcavationID INT, Type VARCHAR(50), Quantity INT); INSERT INTO Artifact... | How many artifacts of each type were found during the 'Ancient City' excavation? | SELECT E.Site, A.Type, SUM(A.Quantity) FROM Artifacts A INNER JOIN Excavations E ON A.ExcavationID = E.ExcavationID GROUP BY E.Site, A.Type; | gretelai_synthetic_text_to_sql |
CREATE TABLE trades (id INT, asset VARCHAR(20), volume DECIMAL(20,2), trade_date DATE); INSERT INTO trades VALUES (1, 'BTC', 1000000, '2022-01-01'); INSERT INTO trades VALUES (2, 'ETH', 2000000, '2022-01-01'); INSERT INTO trades VALUES (3, 'USDT', 500000, '2022-01-01'); INSERT INTO trades VALUES (4, 'ADA', 800000, '202... | What is the daily trading volume for the top 5 digital assets? | SELECT asset, SUM(volume) as daily_volume FROM trades WHERE trade_date = '2022-01-01' GROUP BY asset ORDER BY daily_volume DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE stellar_network (network_name VARCHAR(20), total_market_cap DECIMAL(10,2)); INSERT INTO stellar_network (network_name, total_market_cap) VALUES ('Stellar', 15000000.56); | What is the total market capitalization of all digital assets on the Stellar network? | SELECT total_market_cap FROM stellar_network WHERE network_name = 'Stellar'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Aircraft (id INT, name VARCHAR(50), manufacturer VARCHAR(50), safety_score INT); INSERT INTO Aircraft (id, name, manufacturer, safety_score) VALUES (1, 'F-16', 'AeroCorp', 80), (2, 'F-35', 'AeroCorp', 95), (3, 'A-10', 'EagleTech', 88), (4, 'A-11', 'EagleTech', 82), (5, 'A-12', 'EagleTech', 90); | What are the names and safety scores of aircraft manufactured by 'EagleTech' with safety scores greater than 85? | SELECT name, safety_score FROM Aircraft WHERE manufacturer = 'EagleTech' AND safety_score > 85; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (factory_id INT, name TEXT, location TEXT, diversity_score DECIMAL(3,2)); INSERT INTO factories VALUES (1, 'ABC Factory', 'New York', 0.75), (2, 'XYZ Factory', 'California', 0.82), (3, 'LMN Factory', 'Texas', 0.68); | What are the names and locations of all factories with a workforce diversity score above 0.8? | SELECT name, location FROM factories WHERE diversity_score > 0.8; | gretelai_synthetic_text_to_sql |
CREATE TABLE exhibitions (id INT, name TEXT, start_date DATE, end_date DATE); | Update the exhibitions table with start dates for all exhibitions | UPDATE exhibitions SET start_date = CURDATE(); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (name TEXT, location TEXT, depth FLOAT); INSERT INTO marine_protected_areas (name, location, depth) VALUES ('Bermuda Ridge', 'Atlantic', 4000.0), ('Sargasso Sea', 'Atlantic', 2000.0), ('Great Barrier Reef', 'Pacific', 344.0); | What is the average depth of marine protected areas in the Atlantic Ocean? | SELECT AVG(depth) FROM marine_protected_areas WHERE location = 'Atlantic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_debris (id INT PRIMARY KEY, debris_name VARCHAR(100), launch_date DATE, type VARCHAR(50)); | Drop the space_debris table | DROP TABLE space_debris; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (id INT, name TEXT, type TEXT, revenue FLOAT); INSERT INTO Restaurants (id, name, type, revenue) VALUES (1, 'Restaurant A', 'Italian', 5000.00), (2, 'Restaurant B', 'Vietnamese', 8000.00), (3, 'Restaurant C', 'Vietnamese', 9000.00), (4, 'Restaurant D', 'Vietnamese', 10000.00); | What is the maximum revenue for restaurants serving Vietnamese food? | SELECT MAX(revenue) FROM Restaurants WHERE type = 'Vietnamese'; | gretelai_synthetic_text_to_sql |
CREATE TABLE inspections (restaurant_id INT, violation_date DATE, description VARCHAR(255)); INSERT INTO inspections VALUES (1, '2021-01-01', 'Fly infestation'), (1, '2021-02-01', 'Missing date markers'), (2, '2021-01-01', 'Cleanliness issues'), (2, '2021-03-01', 'Improper food storage'); | How many violations were recorded per restaurant? | SELECT restaurant_id, COUNT(*) as num_violations FROM inspections GROUP BY restaurant_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name VARCHAR(255), refinery_id INT, country VARCHAR(255)); INSERT INTO company (id, name, refinery_id, country) VALUES (1, 'ABC Corp', 1, 'Africa'), (2, 'XYZ Corp', 2, 'Asia'); | List the names of each company, their associated refinery, and the refinery's continent. | SELECT c.name AS company_name, r.name AS refinery_name, CONCAT(SUBSTRING(r.location, 1, 1), ' continent') AS continent FROM company c JOIN refinery r ON c.refinery_id = r.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE matches (match_id INT, match_name VARCHAR(50), goals INT); INSERT INTO matches (match_id, match_name, goals) VALUES (1, 'Match 1', 1), (2, 'Match 2', 3), (3, 'Match 3', 0), (4, 'Match 4', 2), (5, 'Match 5', 4); | Delete all soccer matches that had less than 2 goals scored. | DELETE FROM matches WHERE goals < 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (port_id INT, name VARCHAR(50), un_locode VARCHAR(10)); INSERT INTO ports (port_id, name, un_locode) VALUES (1, 'Port of Los Angeles', 'USLAX'), (2, 'Port of Long Beach', 'USLGB'), (3, 'Port of New York', 'USNYC'); | How many ports are in the 'ports' table? | SELECT COUNT(*) FROM ports; | gretelai_synthetic_text_to_sql |
CREATE TABLE Funding (Year INT, Region VARCHAR(20), Initiative VARCHAR(30), Funding DECIMAL(10,2)); INSERT INTO Funding (Year, Region, Initiative, Funding) VALUES (2018, 'Oceania', 'Climate Adaptation', 150000.00); INSERT INTO Funding (Year, Region, Initiative, Funding) VALUES (2019, 'Oceania', 'Climate Adaptation', 20... | What is the total funding allocated for climate adaptation projects in Oceania between 2018 and 2020? | SELECT SUM(Funding) FROM Funding WHERE Year BETWEEN 2018 AND 2020 AND Region = 'Oceania' AND Initiative = 'Climate Adaptation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE artifacts (artifact_id INT, excavation_year INT, weight DECIMAL(5,2)); INSERT INTO artifacts (artifact_id, excavation_year, weight) VALUES (1, 2005, 5.2); | What was the difference in average artifact weight before and after 2010? | SELECT AVG(CASE WHEN excavation_year < 2010 THEN weight ELSE NULL END) as avg_weight_before_2010, AVG(CASE WHEN excavation_year >= 2010 THEN weight ELSE NULL END) as avg_weight_after_2010 FROM artifacts; | gretelai_synthetic_text_to_sql |
CREATE TABLE ProductRatings (ProductID INT, ProductType VARCHAR(20), HasNaturalIngredients BOOLEAN, Rating INT, ReviewDate DATE); INSERT INTO ProductRatings (ProductID, ProductType, HasNaturalIngredients, Rating, ReviewDate) VALUES (1, 'Facial Cleanser', TRUE, 4, '2022-04-10'); INSERT INTO ProductRatings (ProductID, Pr... | What is the average rating of beauty products with natural ingredients in the skincare category? | SELECT AVG(Rating) FROM ProductRatings WHERE ProductType = 'Skincare' AND HasNaturalIngredients = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE oceanography_data (id INT, location VARCHAR(50), depth INT, temperature FLOAT, salinity FLOAT); INSERT INTO oceanography_data (id, location, depth, temperature, salinity) VALUES (1, 'Mariana Trench', 10994, 1.48, 34.6); INSERT INTO oceanography_data (id, location, depth, temperature, salinity) VALUES (2, '... | Which oceanography data locations have a depth greater than 4000 meters? | SELECT location, depth FROM oceanography_data WHERE depth > 4000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Districts (DId INT, Name VARCHAR(50)); CREATE TABLE Crimes (CrimeId INT, DId INT, CrimeType VARCHAR(50), Date DATE); | What is the total number of crimes committed in each district, separated by crime type and sorted by total number of crimes in descending order? | SELECT D.Name, C.CrimeType, COUNT(C.CrimeId) AS TotalCrimes FROM Districts D INNER JOIN Crimes C ON D.DId = C.DId GROUP BY D.Name, C.CrimeType ORDER BY TotalCrimes DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (id INT PRIMARY KEY, name VARCHAR(50), type VARCHAR(50), location VARCHAR(50)); INSERT INTO organizations (id, name, type, location) VALUES (1, 'Greenpeace', 'Non-profit', 'India'); INSERT INTO organizations (id, name, type, location) VALUES (2, 'The Climate Group', 'Non-profit', 'UK'); INSER... | Which organizations have a location in 'India' and are of type 'Non-profit'? | SELECT organizations.name, organizations.type, organizations.location FROM organizations WHERE organizations.location = 'India' AND organizations.type = 'Non-profit'; | gretelai_synthetic_text_to_sql |
CREATE TABLE UnionCB (Union VARCHAR(50), Region VARCHAR(50), Agreements INT); INSERT INTO UnionCB (Union, Region, Agreements) VALUES ('UnionO', 'Europe', 250), ('UnionP', 'Europe', 300), ('UnionQ', 'Europe', 200); | What is the maximum number of collective bargaining agreements negotiated by unions in the European region? | SELECT MAX(Agreements) FROM UnionCB WHERE Region = 'Europe' | gretelai_synthetic_text_to_sql |
CREATE TABLE student_demographics (id INT, student_id INT, country VARCHAR(50), department VARCHAR(50)); INSERT INTO student_demographics (id, student_id, country, department) VALUES (1, 1, 'USA', 'Engineering'), (2, 2, 'Canada', 'Engineering'), (3, 3, 'Mexico', 'Engineering'); | How many graduate students in the Engineering department come from each country? | SELECT country, COUNT(DISTINCT student_id) FROM student_demographics WHERE department = 'Engineering' GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Research_Papers (id INT, title VARCHAR(255), author_country VARCHAR(50), publication_year INT); INSERT INTO Research_Papers (id, title, author_country, publication_year) VALUES (1, 'Autonomous Vehicles and Traffic Flow', 'USA', 2021); INSERT INTO Research_Papers (id, title, author_country, publication_year... | How many autonomous vehicle research papers were published by authors from the United States and China in 2021? | SELECT COUNT(*) FROM Research_Papers WHERE author_country IN ('USA', 'China') AND publication_year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainablePractices (PracticeID INT, PracticeName VARCHAR(50), Description VARCHAR(255), ProjectID INT, FOREIGN KEY (ProjectID) REFERENCES Projects(ProjectID)); | Add a new sustainable practice to the SustainablePractices table. | INSERT INTO SustainablePractices (PracticeID, PracticeName, Description, ProjectID) VALUES (2, 'Geothermal Heating', 'Installation of geothermal heating systems', 2); | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouse (warehouse_id VARCHAR(5), name VARCHAR(10), location VARCHAR(10)); INSERT INTO warehouse (warehouse_id, name, location) VALUES ('W001', 'LAX', 'Los Angeles'), ('W002', 'JFK', 'New York'); CREATE TABLE shipment (shipment_id VARCHAR(5), warehouse_id VARCHAR(5), cargo_weight INT, arrival_date DATE);... | What are the names and total cargo weights for all shipments that arrived at the 'LAX' warehouse between '2021-01-01' and '2021-03-31'? | SELECT w.name, SUM(s.cargo_weight) FROM shipment s INNER JOIN warehouse w ON s.warehouse_id = w.warehouse_id WHERE w.location = 'LAX' AND s.arrival_date BETWEEN '2021-01-01' AND '2021-03-31' GROUP BY w.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Scores (PlayerID int, PlayerName varchar(50), Game varchar(50), Score int); INSERT INTO Scores (PlayerID, PlayerName, Game, Score) VALUES (1, 'Player1', 'Game1', 1000), (2, 'Player2', 'Game1', 1200), (3, 'Player3', 'Game1', 1500), (4, 'Player4', 'Game1', 800); | Who are the top 3 players with the highest scores in the 'Action' game category? | SELECT * FROM (SELECT PlayerID, PlayerName, Game, Score, ROW_NUMBER() OVER (PARTITION BY Game ORDER BY Score DESC) as Rank FROM Scores) T WHERE T.Game = 'Game1' AND T.Rank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Holmium_Market_Prices (id INT, year INT, country VARCHAR(20), market_price DECIMAL(10,2)); | What is the maximum market price of Holmium in Germany? | SELECT MAX(market_price) FROM Holmium_Market_Prices WHERE country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (title VARCHAR(255), topic VARCHAR(255)); | What is the total number of articles published on topics related to media literacy? | SELECT COUNT(*) FROM articles WHERE topic LIKE '%media literacy%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE genres (genre_id INT, genre VARCHAR(50)); INSERT INTO genres (genre_id, genre) VALUES (1, 'Pop'), (2, 'Rock'), (3, 'Hip Hop'), (4, 'Jazz'), (5, 'K-Pop'); CREATE TABLE collaborations (collab_id INT, track_name VARCHAR(100), artist_id1 INT, artist_id2 INT, genre_id INT); INSERT INTO collaborations (collab_id... | What is the total number of collaborations between 'K-Pop' artists and 'Hip Hop' artists? | SELECT COUNT(*) FROM collaborations c INNER JOIN genres g1 ON c.genre_id = g1.genre_id INNER JOIN genres g2 ON c.genre_id = g2.genre_id WHERE g1.genre = 'K-Pop' AND g2.genre = 'Hip Hop'; | gretelai_synthetic_text_to_sql |
CREATE TABLE player_sessions (session_id INT, player_id INT, game_id INT, date_played DATE, start_time TIME, end_time TIME, playtime TIME, country VARCHAR(20), game_genre VARCHAR(20)); | What is the total number of hours played by users in Japan for action games? | SELECT SUM(TIMESTAMPDIFF(MINUTE, start_time, end_time)) FROM player_sessions WHERE country = 'Japan' AND game_genre = 'action'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists program (id INT, name VARCHAR(50), category VARCHAR(50)); CREATE TABLE if not exists funding (id INT, program_id INT, year INT, amount DECIMAL(10, 2), source VARCHAR(50)); INSERT INTO program (id, name, category) VALUES (1, 'Jazz Ensemble', 'Music'), (2, 'Classical Orchestra', 'Music'), (3, '... | List all funding sources for 'Music' programs in 2022. | SELECT DISTINCT source FROM funding f JOIN program p ON f.program_id = p.id WHERE p.category = 'Music' AND f.year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE public.physicians (id SERIAL PRIMARY KEY, name TEXT, hospital TEXT); INSERT INTO public.physicians (name, hospital) VALUES ('Dr. Smith', 'Florida General Hospital'), ('Dr. Johnson', 'Florida Children''s Hospital'); CREATE TABLE public.admissions (id SERIAL PRIMARY KEY, physician TEXT, hospital TEXT, admiss... | What is the total number of hospital admissions for each primary care physician in the state of Florida? | SELECT p.name, COUNT(*) FROM public.admissions a JOIN public.physicians p ON a.physician = p.name GROUP BY p.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE city_complaints (city varchar(50), year int, category varchar(50), num_complaints int); INSERT INTO city_complaints (city, year, category, num_complaints) VALUES ('Chicago', 2024, 'Utilities', 2000), ('Chicago', 2024, 'Parks', 1000), ('Chicago', 2024, 'Sanitation', 1500); | What was the total number of citizen complaints received by the city of Chicago in 2024, categorized by utilities, parks, and sanitation? | SELECT SUM(num_complaints) FROM city_complaints WHERE city = 'Chicago' AND (category = 'Utilities' OR category = 'Parks' OR category = 'Sanitation') AND year = 2024; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_features (hotel_id INT, location VARCHAR(20), feature VARCHAR(30)); | Identify hotel features that are not AI-related in Africa. | SELECT feature FROM hotel_features WHERE location = 'Africa' AND feature NOT LIKE '%AI%' GROUP BY feature | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists companies (company_id INT, sector VARCHAR(50), esg_score DECIMAL(3,2), quarter INT, year INT); INSERT INTO companies (company_id, sector, esg_score, quarter, year) VALUES (1, 'Technology', 8.2, 2, 2021), (2, 'Technology', 7.8, 2, 2021), (3, 'Technology', 9.1, 2, 2021); | Find the top 3 ESG scores for companies in the technology sector in Q2 2021, ordered by the scores in descending order. | SELECT company_id, sector, esg_score FROM companies WHERE sector = 'Technology' AND quarter = 2 AND year = 2021 ORDER BY esg_score DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE species (id INT, name VARCHAR(255), habitat VARCHAR(255), depth FLOAT); INSERT INTO species (id, name, habitat, depth) VALUES (1, 'Clownfish', 'Coral Reef', 20.0); INSERT INTO species (id, name, habitat, depth) VALUES (2, 'Blue Whale', 'Open Ocean', 2000.0); INSERT INTO species (id, name, habitat, depth) V... | How many marine species live at a depth less than or equal to 100 meters? | SELECT COUNT(*) FROM species WHERE depth <= 100; | gretelai_synthetic_text_to_sql |
CREATE TABLE incidents (id INT, incident_type VARCHAR(255), location VARCHAR(255), occurred_on DATE); | Delete all incidents recorded after 2022-12-31 from the 'incidents' table | DELETE FROM incidents WHERE occurred_on > '2022-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intelligence (id INT, country VARCHAR(50), year INT, threat_level FLOAT); INSERT INTO threat_intelligence (id, country, year, threat_level) VALUES (1, 'USA', 2022, 4.5); INSERT INTO threat_intelligence (id, country, year, threat_level) VALUES (2, 'YZ', 2022, 5.2); | What is the maximum threat level reported in country YZ in 2022? | SELECT MAX(threat_level) FROM threat_intelligence WHERE country = 'YZ' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE Universities (UniversityID int, UniversityName varchar(255)); CREATE TABLE GraduateStudents (StudentID int, StudentName varchar(255), UniversityID int); CREATE TABLE Publications (PublicationID int, StudentID int, Title varchar(255)); | Calculate the average number of research publications for graduate students from each university. | SELECT UniversityName, AVG(NumPublications) as AvgPublicationsPerStudent FROM (SELECT UniversityName, StudentName, COUNT(*) as NumPublications FROM GraduateStudents gs JOIN Publications p ON gs.StudentID = p.StudentID JOIN Universities u ON gs.UniversityID = u.UniversityID GROUP BY UniversityName, StudentName) subquery... | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (city_name TEXT, population INTEGER); INSERT INTO cities (city_name, population) VALUES ('New York', 8500000), ('Los Angeles', 4000000), ('Toronto', 2700000), ('Montreal', 1700000); CREATE TABLE climate_communication (city_name TEXT); INSERT INTO climate_communication (city_name) VALUES ('New York')... | List the names of all cities with a population over 1 million that have no records in the 'climate_communication' table. | SELECT city_name FROM cities WHERE population > 1000000 AND city_name NOT IN (SELECT city_name FROM climate_communication); | gretelai_synthetic_text_to_sql |
CREATE TABLE prison (id INT, name TEXT, security_level TEXT, age INT); INSERT INTO prison (id, name, security_level, age) VALUES (1, 'John Doe', 'low_security', 35); | Update the age of the inmate with ID 1 to 40 in the prison table. | UPDATE prison SET age = 40 WHERE id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE drug_approval_rates(country VARCHAR(255), approval_count INT, total_drugs INT, year INT, semester INT); INSERT INTO drug_approval_rates(country, approval_count, total_drugs, year, semester) VALUES ('USA', 50, 100, 2021, 1), ('Canada', 30, 80, 2021, 1), ('Japan', 40, 90, 2021, 1); | Which countries had the highest and lowest drug approval rates in H1 2021? | SELECT country, approval_count/total_drugs as approval_rate FROM drug_approval_rates WHERE year = 2021 AND semester = 1 ORDER BY approval_rate DESC, country ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE MemberWorkouts (MemberID INT, WorkoutDate DATE, HeartRate INT); INSERT INTO MemberWorkouts (MemberID, WorkoutDate, HeartRate) VALUES (1, '2023-02-01', 165), (2, '2023-02-02', 150), (3, '2023-02-03', 170); | What is the maximum heart rate achieved by a female member? | SELECT MAX(HeartRate) FROM MemberWorkouts WHERE MemberID IN (SELECT MemberID FROM Members WHERE Gender = 'Female'); | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists water_demand (id INT PRIMARY KEY, city VARCHAR(50), water_demand FLOAT, usage_date DATE); CREATE TABLE if not exists water_price (id INT PRIMARY KEY, city VARCHAR(50), price FLOAT, usage_date DATE); CREATE VIEW if not exists water_demand_price AS SELECT wd.city, wd.water_demand, wp.price FROM... | What is the change in water demand and price for each city over time? | SELECT city, usage_date, LAG(water_demand) OVER (PARTITION BY city ORDER BY usage_date) as prev_water_demand, water_demand, LAG(price) OVER (PARTITION BY city ORDER BY usage_date) as prev_price, price FROM water_demand_price ORDER BY city, usage_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE member_demographics (member_id INT, country VARCHAR(50), heart_rate INT); INSERT INTO member_demographics (member_id, country, heart_rate) VALUES (1, 'USA', 70), (2, 'Canada', 80), (3, 'Mexico', 65), (4, 'Brazil', 75), (5, 'Argentina', 78), (6, 'USA', 75), (7, 'Canada', 70), (8, 'Mexico', 80), (9, 'Brazil'... | What is the average heart rate for members from each country? | SELECT country, AVG(heart_rate) FROM member_demographics GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE field_temperature (field_id INT, date DATE, temperature FLOAT); INSERT INTO field_temperature (field_id, date, temperature) VALUES (4, '2021-06-01', 28.5), (4, '2021-06-02', 29.3), (4, '2021-06-03', 30.1); | What is the maximum temperature in field 4 over the last month? | SELECT MAX(temperature) FROM field_temperature WHERE field_id = 4 AND date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE subscribers (subscriber_id INT, name VARCHAR(50), data_usage FLOAT); | Delete the record with the 'subscriber_id' 5 from the 'subscribers' table. | DELETE FROM subscribers WHERE subscriber_id = 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (game_id INT, game_genre VARCHAR(255), player_id INT, playtime_mins INT); CREATE TABLE players (player_id INT, player_country VARCHAR(255)); | What is the total playtime, in hours, for all players from Canada, for games in the 'RPG' genre? | SELECT SUM(playtime_mins / 60) FROM games JOIN players ON games.player_id = players.player_id WHERE players.player_country = 'Canada' AND game_genre = 'RPG'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (id INT PRIMARY KEY, name VARCHAR(50), country_id INT); CREATE TABLE countries (id INT PRIMARY KEY, name VARCHAR(50)); | List the ports and their respective countries from the 'ports' and 'countries' tables. | SELECT ports.name, countries.name AS country_name FROM ports INNER JOIN countries ON ports.country_id = countries.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_adaptation_max (project_id INT, project_name TEXT, allocation DECIMAL(10, 2), year INT); INSERT INTO climate_adaptation_max (project_id, project_name, allocation, year) VALUES (7, 'Sea Level Rise G', 13000000, 2020), (8, 'Heatwave Resilience H', 10000000, 2020), (9, 'Biodiversity Protection I', 140... | What is the maximum allocation for a climate adaptation project in the year 2020? | SELECT MAX(allocation) FROM climate_adaptation_max WHERE year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE shipments (id INT, shipment_date DATE, country VARCHAR(10)); INSERT INTO shipments (id, shipment_date, country) VALUES (1001, '2022-01-03', 'Canada'), (1002, '2022-01-15', 'Mexico'), (1003, '2022-02-01', 'US'), (1004, '2022-02-15', 'Canada'); | How many shipments were sent to country 'US' in February 2022? | SELECT COUNT(*) FROM shipments WHERE MONTH(shipment_date) = 2 AND country = 'US'; | gretelai_synthetic_text_to_sql |
CREATE TABLE firewall_logs (id INT, ip TEXT, country TEXT, timestamp TIMESTAMP); INSERT INTO firewall_logs (id, ip, country, timestamp) VALUES (1, '192.168.0.11', 'US', '2021-02-01 12:00:00'), (2, '192.168.0.10', 'FR', '2021-02-04 14:30:00'), (3, '192.168.0.12', 'CN', '2021-02-05 10:15:00'); | How many times has the firewall blocked traffic from country FR in the last month? | SELECT COUNT(*) FROM firewall_logs WHERE country = 'FR' AND timestamp >= NOW() - INTERVAL '1 month'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sustainable_Sources (id INT, vendor VARCHAR(255), product VARCHAR(255), sustainable BOOLEAN); INSERT INTO Sustainable_Sources (id, vendor, product, sustainable) VALUES ((SELECT MAX(id) FROM Sustainable_Sources) + 1, 'Eco-Friendly Farms', 'Organic Chicken', TRUE); | Insert a new record into the 'Sustainable_Sources' table with id 1, vendor 'Eco-Friendly Farms', product 'Organic Chicken', and sustainable BOOLEAN as TRUE. | INSERT INTO Sustainable_Sources (vendor, product, sustainable) VALUES ('Eco-Friendly Farms', 'Organic Chicken', TRUE); | gretelai_synthetic_text_to_sql |
CREATE TABLE HairCareSales (sale_id INT, product_name VARCHAR(100), category VARCHAR(50), price DECIMAL(10,2), quantity INT, sale_date DATE, country VARCHAR(50), sustainable BOOLEAN); | Delete all records of sales of non-sustainable hair care products in Australia. | DELETE FROM HairCareSales WHERE category = 'Hair Care' AND country = 'Australia' AND sustainable = FALSE; | gretelai_synthetic_text_to_sql |
CREATE TABLE dispensaries (dispensary_id INT, name TEXT, state TEXT); INSERT INTO dispensaries (dispensary_id, name, state) VALUES (1, 'Dispensary A', 'Arizona'), (2, 'Dispensary B', 'Arizona'), (3, 'Dispensary C', 'California'); CREATE TABLE sales (sale_id INT, dispensary_id INT, revenue INT); INSERT INTO sales (sale_... | What is the total revenue generated by each dispensary in Arizona, grouped by dispensary and ordered by revenue from highest to lowest? | SELECT d.name, SUM(s.revenue) AS total_revenue FROM dispensaries d JOIN sales s ON d.dispensary_id = s.dispensary_id WHERE d.state = 'Arizona' GROUP BY d.name ORDER BY total_revenue DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT, name TEXT, state TEXT); CREATE TABLE infectious_diseases (id INT, hospital_id INT, disease TEXT); INSERT INTO hospitals (id, name, state) VALUES (1, 'Hospital X', 'New York'), (2, 'Hospital Y', 'New Jersey'); INSERT INTO infectious_diseases (id, hospital_id, disease) VALUES (1, 1, 'Measl... | List all infectious diseases recorded in hospitals located in New York and New Jersey | SELECT i.disease FROM hospitals h INNER JOIN infectious_diseases i ON h.id = i.hospital_id WHERE h.state IN ('New York', 'New Jersey'); | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_tech_adoption (hotel_id INT, ai_powered_features INT); INSERT INTO hotel_tech_adoption (hotel_id, ai_powered_features) VALUES (1, 5), (2, 3), (3, 4), (4, 6); | What is the average number of AI-powered features offered by hotels in the 'hotel_tech_adoption' table? | SELECT AVG(ai_powered_features) FROM hotel_tech_adoption; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(100), release_year INT); | Which movies in the "movies" table were released in the 2010s? | SELECT * FROM movies WHERE release_year BETWEEN 2010 AND 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(50), region VARCHAR(20), cruelty_free BOOLEAN); INSERT INTO products (product_id, product_name, region, cruelty_free) VALUES (1, 'Lipstick', 'Canada', TRUE), (2, 'Foundation', 'US', FALSE), (3, 'Eyeshadow', 'US', TRUE); | Determine the cosmetic products that are NOT certified as cruelty-free in the US region. | SELECT * FROM products WHERE region = 'US' AND cruelty_free = FALSE; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (id INT, name TEXT, zip TEXT, consultations INT); INSERT INTO community_health_workers (id, name, zip, consultations) VALUES (1, 'John Doe', '60001', 40), (2, 'Jane Smith', '60601', 20); CREATE VIEW il_workers AS SELECT * FROM community_health_workers WHERE zip BETWEEN '60001' AND ... | What is the ZIP code of the community health worker who conducted the least mental health parity consultations in Illinois? | SELECT zip FROM il_workers WHERE consultations = (SELECT MIN(consultations) FROM il_workers); | gretelai_synthetic_text_to_sql |
CREATE TABLE boston_housing (id INT, quarter INT, year INT, affordability FLOAT); INSERT INTO boston_housing (id, quarter, year, affordability) VALUES (1, 1, 2021, 90), (2, 2, 2021, 85), (3, 1, 2021, 95), (4, 2, 2021, 80); | What is the change in housing affordability in Boston from Q1 2021 to Q2 2021? | SELECT (MAX(affordability) FILTER (WHERE year = 2021 AND quarter = 2) - MAX(affordability) FILTER (WHERE year = 2021 AND quarter = 1)) FROM boston_housing; | gretelai_synthetic_text_to_sql |
CREATE TABLE org_volunteers (org_id INT, org_name VARCHAR(50), num_volunteers INT, country VARCHAR(50)); CREATE TABLE donations (donation_id INT, org_id INT, donation_amount FLOAT, donation_date DATE); INSERT INTO org_volunteers (org_id, org_name, num_volunteers, country) VALUES (1, 'Australian Red Cross', 50, 'Austral... | Delete all volunteer records for organizations located in Oceania with no donations in 2022. | DELETE FROM org_volunteers WHERE org_id NOT IN (SELECT org_id FROM donations WHERE donation_date BETWEEN '2022-01-01' AND '2022-12-31') AND country IN ('Australia', 'New Zealand', 'Fiji', 'Papua New Guinea', 'Solomon Islands'); | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (id INT, customer_id INT, value DECIMAL(10, 2), transaction_date DATE); INSERT INTO transactions (id, customer_id, value, transaction_date) VALUES (1, 1, 100, '2022-01-01'), (2, 1, 200, '2022-01-15'), (3, 2, 50, '2022-01-05'), (4, 2, 150, '2022-01-30'), (5, 3, 300, '2022-01-20'); | What is the maximum transaction value for each customer in the last year? | SELECT c.id, MAX(t.value) FROM customers c INNER JOIN transactions t ON c.id = t.customer_id WHERE t.transaction_date >= DATE_SUB(CURDATE(), INTERVAL 1 YEAR) GROUP BY c.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE fares (fare_id INT, route_id INT, fare FLOAT, fare_currency VARCHAR(3), fare_date DATE); INSERT INTO fares (fare_id, route_id, fare, fare_currency, fare_date) VALUES (1, 1, 3.0, 'USD', '2022-05-01'), (2, 2, 4.0, 'USD', '2022-05-02'), (3, 1, 3.5, 'USD', '2022-05-03'); | What is the average fare and its corresponding currency for each route, along with the fare of the previous record, ordered by fare date? | SELECT route_id, fare, fare_currency, fare_date, LAG(fare) OVER (PARTITION BY route_id ORDER BY fare_date) as prev_fare FROM fares; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (id INT, name VARCHAR(255), country VARCHAR(255)); CREATE TABLE products (id INT, name VARCHAR(255), organic BOOLEAN, weight FLOAT, supplier_id INT); | What is the total weight of non-organic products sourced from local suppliers? | SELECT SUM(p.weight) as total_weight FROM suppliers s INNER JOIN products p ON s.id = p.supplier_id WHERE p.organic = 'f' AND s.country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (student_id INT, mental_health_score INT, participated_in_lifelong_learning BOOLEAN); INSERT INTO students (student_id, mental_health_score, participated_in_lifelong_learning) VALUES (1, 80, FALSE), (2, 70, FALSE), (3, 90, FALSE), (4, 60, TRUE); | Update the mental health score of the student with the highest ID who has not participated in lifelong learning activities. | UPDATE students SET mental_health_score = 85 WHERE student_id = (SELECT MAX(student_id) FROM students WHERE participated_in_lifelong_learning = FALSE); | gretelai_synthetic_text_to_sql |
CREATE TABLE disputes_2020 (id INT, dispute_count INT, date DATE); INSERT INTO disputes_2020 (id, dispute_count, date) VALUES (1, 50, '2020-01-01'), (2, 35, '2020-04-15'), (3, 40, '2020-07-01'); | What is the total number of labor disputes in each quarter for the year 2020, based on the 'disputes_2020' table? | SELECT QUARTER(date) as quarter, SUM(dispute_count) as total_disputes FROM disputes_2020 GROUP BY quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_parks (name VARCHAR(255), state VARCHAR(255), acres DECIMAL(10,2)); INSERT INTO public_parks (name, state, acres) VALUES ('Central Park', 'New York', 843), ('Prospect Park', 'New York', 585), ('Golden Gate Park', 'California', 1017); | What is the total number of public parks in New York and California? | SELECT SUM(acres) FROM public_parks WHERE state IN ('New York', 'California'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mine_stats (country VARCHAR(20), mineral VARCHAR(20), quantity INT); INSERT INTO mine_stats (country, mineral, quantity) VALUES ('USA', 'gold', 500), ('USA', 'silver', 2000), ('Canada', 'gold', 800), ('Canada', 'silver', 1500); | What are the total quantities of gold and silver mined in the USA and Canada? | SELECT country, SUM(quantity) FROM mine_stats WHERE mineral IN ('gold', 'silver') GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Threats (threat_id INT, threat_type VARCHAR(50), year INT, region_id INT); INSERT INTO Threats (threat_id, threat_type, year, region_id) VALUES (1, 'Cybersecurity threat', 2022, 1), (2, 'Terrorism', 2021, 1); | What is the sum of cybersecurity threats reported in the North American region in 2022? | SELECT SUM(threat_id) FROM Threats WHERE threat_type = 'Cybersecurity threat' AND year = 2022 AND region_id = (SELECT region_id FROM Regions WHERE region_name = 'North American'); | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_safety (id INT, model_name VARCHAR(255), country VARCHAR(255), confidence_score FLOAT); INSERT INTO ai_safety (id, model_name, country, confidence_score) VALUES (1, 'SafeModelA', 'China', 0.75), (2, 'SafeModelB', 'Japan', 0.90), (3, 'SafeModelC', 'India', 0.85); | What are the maximum and minimum confidence scores for AI models in AI safety in Asia? | SELECT MAX(confidence_score), MIN(confidence_score) FROM ai_safety WHERE country IN ('China', 'Japan', 'India'); | gretelai_synthetic_text_to_sql |
CREATE TABLE traffic_court_fines (id INT, fine_amount DECIMAL(5,2), fine_date DATE); | What is the average fine amount issued in traffic court, broken down by the day of the week? | SELECT DATE_FORMAT(fine_date, '%W') AS day_of_week, AVG(fine_amount) FROM traffic_court_fines GROUP BY day_of_week; | gretelai_synthetic_text_to_sql |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.