context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE strains (id INT, name VARCHAR(10), type VARCHAR(10), retail_price DECIMAL(5,2)); INSERT INTO strains (id, name, type, retail_price) VALUES (1, 'Ak-47', 'Sativa', 12.50), (2, 'Amnesia Haze', 'Sativa', 14.25), (3, 'Blue Dream', 'Hybrid', 13.75); | What is the average retail price per gram of Sativa strains sold in California dispensaries? | SELECT AVG(retail_price) FROM strains WHERE type = 'Sativa' AND name IN ('Ak-47', 'Amnesia Haze'); | gretelai_synthetic_text_to_sql |
CREATE TABLE material_inventory (material_id INT, material_name VARCHAR(255), quantity INT, is_sustainable BOOLEAN); | Retrieve the names and quantities of the top 5 most ordered sustainable materials in the 'EthicalFashion' database | SELECT material_name, quantity FROM material_inventory WHERE is_sustainable = TRUE ORDER BY quantity DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE site_a (artifact_id INT, artifact_type VARCHAR(255)); INSERT INTO site_a (artifact_id, artifact_type) VALUES (1, 'Pottery'), (2, 'Tools'), (3, 'Tools'), (4, 'Tools'); CREATE TABLE site_b (artifact_id INT, artifact_type VARCHAR(255)); INSERT INTO site_b (artifact_id, artifact_type) VALUES (5, 'Pottery'), (6... | Which excavation sites have more than 3 tool artifacts? | SELECT context FROM (SELECT 'site_a' AS context, COUNT(*) as count FROM site_a WHERE artifact_type = 'Tools' UNION ALL SELECT 'site_b' AS context, COUNT(*) as count FROM site_b WHERE artifact_type = 'Tools') AS subquery WHERE count > 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE r_and_d_projects (id INT, project_name VARCHAR(50), project_type VARCHAR(20), sales INT); INSERT INTO r_and_d_projects (id, project_name, project_type, sales) VALUES (1, 'Autonomous Driving', 'R&D', 2000000), (2, 'Electric Engine Development', 'R&D', 1500000), (3, 'Connected Car Technology', 'R&D', 1200000... | Find the total sales for autonomous driving R&D projects | SELECT SUM(sales) as total_sales FROM r_and_d_projects WHERE project_type = 'R&D' AND project_name = 'Autonomous Driving'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SatelliteDeployments (launch_year INT, launch_cost INT); | Find the total cost of satellite deployments for each year. | SELECT launch_year, SUM(launch_cost) FROM SatelliteDeployments GROUP BY launch_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE authors (id INT, name VARCHAR(50), newspaper VARCHAR(50)); INSERT INTO authors (id, name, newspaper) VALUES (1, 'John Doe', 'The Times'); INSERT INTO authors (id, name, newspaper) VALUES (2, 'Jane Smith', 'The Guardian'); | Update the newspaper for author with id 2 to 'The Washington Post' | UPDATE authors SET newspaper = 'The Washington Post' WHERE id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, name TEXT, age INT, treatment TEXT); | Insert a new patient 'John' with age 50 who received 'Mindfulness' as a record. | INSERT INTO patients (name, age, treatment) VALUES ('John', 50, 'Mindfulness'); | gretelai_synthetic_text_to_sql |
CREATE TABLE industrial_water_waste (sector VARCHAR(255), waste INT); INSERT INTO industrial_water_waste (sector, waste) VALUES ('Agriculture', 1200), ('Manufacturing', 800), ('Mining', 400), ('Construction', 600); CREATE TABLE california_waste (year INT, sector VARCHAR(255), waste INT); INSERT INTO california_waste (y... | What is the total water waste generated by the industrial sector in California in the year 2020? | SELECT i.sector, SUM(i.waste) as total_water_waste FROM industrial_water_waste i INNER JOIN california_waste c ON i.sector = c.sector WHERE c.year = 2020 GROUP BY i.sector; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Name VARCHAR(50), Department VARCHAR(50), Age INT, Salary FLOAT); | What is the total number of employees working in the 'Mining Operations' department and the 'Environmental Department'? | SELECT Department, COUNT(*) FROM Employees WHERE Department = 'Mining Operations' OR Department = 'Environmental Department' GROUP BY Department; | gretelai_synthetic_text_to_sql |
CREATE TABLE atlanta_community_policing (id INT, event_type TEXT, event_date DATE); INSERT INTO atlanta_community_policing (id, event_type, event_date) VALUES (1, 'Meeting', '2022-01-01'), (2, 'Workshop', '2022-02-01'), (3, 'Meeting', '2022-03-01');CREATE TABLE atlanta_community_policing_types (id INT, event_type TEXT... | What is the most common type of community policing event in Atlanta? | SELECT event_type, COUNT(*) as count FROM atlanta_community_policing GROUP BY event_type ORDER BY count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinician_impact_data (id INT, clinician_id INT, patients_treated INT, cultural_competency_score INT); INSERT INTO clinician_impact_data (id, clinician_id, patients_treated, cultural_competency_score) VALUES (1, 1, 55, 80), (2, 2, 45, 90); | What is the average mental health parity score for clinicians who have treated at least 50 patients? | SELECT AVG(mental_health_parity_data.mental_health_parity_score) FROM mental_health_parity_data JOIN clinician_impact_data ON mental_health_parity_data.clinician_id = clinician_impact_data.clinician_id WHERE clinician_impact_data.patients_treated >= 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE K_Pop_Songs (title TEXT, year INTEGER, rating FLOAT); INSERT INTO K_Pop_Songs (title, year, rating) VALUES ('Song1', 2016, 7.5), ('Song2', 2017, 8.0), ('Song3', 2018, 8.5), ('Song4', 2019, 9.0), ('Song5', 2020, 9.2), ('Song6', 2021, 9.5); | What is the average rating of K-pop songs released in 2018? | SELECT AVG(rating) FROM K_Pop_Songs WHERE year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (chw_id INT, state VARCHAR(2), name VARCHAR(50), certification_date DATE); | Add new community health worker record for Florida | INSERT INTO community_health_workers (chw_id, state, name, certification_date) VALUES (456, 'FL', 'Rosa Gomez', '2023-01-05'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Workshops (WorkshopID INT PRIMARY KEY, WorkshopName VARCHAR(100), HeritageSiteID INT, FOREIGN KEY (HeritageSiteID) REFERENCES HeritageSites(SiteID)); | Insert a new record for a traditional workshop, 'Maasai Beadwork', in the Workshops table. | INSERT INTO Workshops (WorkshopID, WorkshopName, HeritageSiteID) VALUES (nextval('workshop_id_seq'), 'Maasai Beadwork', 10); | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name TEXT, volunteer_id INT);CREATE TABLE volunteer_hours (id INT, volunteer_id INT, hours DECIMAL(3,1), hour_date DATE);CREATE TABLE countries (id INT, country_code CHAR(2), country_name TEXT); | List all volunteers, their countries, and the number of hours they have volunteered, joined with the 'volunteer_hours' and 'countries' tables? | SELECT volunteers.name, countries.country_name, SUM(volunteer_hours.hours) FROM volunteers INNER JOIN volunteer_hours ON volunteers.id = volunteer_hours.volunteer_id INNER JOIN countries ON volunteers.id = countries.id GROUP BY volunteers.name, countries.country_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE quarterly_production (id INT, field_name VARCHAR(50), quarter INT, qty FLOAT); INSERT INTO quarterly_production (id, field_name, quarter, qty) VALUES (1, 'Galkynysh', 1, 50000); INSERT INTO quarterly_production (id, field_name, quarter, qty) VALUES (2, 'Galkynysh', 2, 55000); INSERT INTO quarterly_producti... | Calculate the production change for each field between Q1 and Q2 2019 | SELECT a.field_name, (b.qty - a.qty) as q1_q2_change FROM quarterly_production a JOIN quarterly_production b ON a.field_name = b.field_name WHERE a.quarter = 1 AND b.quarter = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE EsportsEvents (EventID INT, EventName VARCHAR(20), EventDate DATE); INSERT INTO EsportsEvents (EventID, EventName, EventDate) VALUES (1, 'EventA', '2022-01-01'), (2, 'EventB', '2022-02-01'), (3, 'EventC', '2022-03-01'); | What is the number of esports events by month for the current year? | SELECT EXTRACT(MONTH FROM EventDate) as Month, COUNT(EventID) as Count FROM EsportsEvents WHERE EventDate >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY Month; | gretelai_synthetic_text_to_sql |
CREATE TABLE movie (id INT, title VARCHAR(50), genre VARCHAR(20), viewers INT); INSERT INTO movie (id, title, genre, viewers) VALUES (1, 'Movie1', 'Action', 100000), (2, 'Movie2', 'Action', 150000), (3, 'Movie3', 'Comedy', 200000), (4, 'Movie4', 'Action', 250000), (5, 'Movie5', 'Comedy', 220000); | What's the total number of viewers for all Action and Comedy movies? | SELECT SUM(viewers) FROM movie WHERE genre IN ('Action', 'Comedy'); | gretelai_synthetic_text_to_sql |
CREATE TABLE vulnerabilities (id INT, threat_actor VARCHAR(50), severity INT, timestamp TIMESTAMP); INSERT INTO vulnerabilities (id, threat_actor, severity, timestamp) VALUES (1, 'Lazarus Group', 8, '2022-04-01 10:00:00'), (2, 'APT29', 7, '2022-05-02 12:00:00'); | What are the top 3 threat actors with the highest average severity of vulnerabilities in Q2 of 2022? | SELECT threat_actor, AVG(severity) as avg_severity FROM vulnerabilities WHERE timestamp >= '2022-04-01' AND timestamp < '2022-07-01' GROUP BY threat_actor ORDER BY avg_severity DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (name TEXT, funding FLOAT); INSERT INTO startups (name, funding) VALUES ('StartupA', 5000000), ('StartupB', 0), ('StartupC', 6000000); | Which biotech startups have not received any funding? | SELECT name FROM startups WHERE funding = 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, country VARCHAR(50), Gadolinium_sold FLOAT, revenue FLOAT, datetime DATETIME); INSERT INTO sales (id, country, Gadolinium_sold, revenue, datetime) VALUES (1, 'Germany', 250.0, 5000.0, '2021-01-01 10:00:00'), (2, 'France', 180.0, 3600.0, '2021-02-15 14:30:00'), (3, 'UK', 300.0, 6000.0, '2021-... | What are the top 3 European countries by total revenue from sales of Gadolinium in 2021? | SELECT country, SUM(revenue) AS total_revenue FROM sales WHERE YEAR(datetime) = 2021 AND Gadolinium_sold IS NOT NULL AND country IN ('Germany', 'France', 'UK') GROUP BY country ORDER BY total_revenue DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultivators (id INT, name TEXT, state TEXT); INSERT INTO cultivators (id, name, state) VALUES (1, 'Cultivator A', 'Colorado'); INSERT INTO cultivators (id, name, state) VALUES (2, 'Cultivator B', 'Colorado'); CREATE TABLE strains (cultivator_id INT, name TEXT, year INT, potency INT, sales INT); INSERT INTO... | What are the total sales and average potency for each strain produced by cultivators in Colorado in 2021? | SELECT s.name as strain_name, c.state as cultivator_state, SUM(s.sales) as total_sales, AVG(s.potency) as average_potency FROM strains s INNER JOIN cultivators c ON s.cultivator_id = c.id WHERE c.state = 'Colorado' AND s.year = 2021 GROUP BY s.name, c.state; | gretelai_synthetic_text_to_sql |
CREATE TABLE underrepresented_communities (community_id INT, community_name VARCHAR(100)); CREATE TABLE entertainment_programs (program_id INT, program_name VARCHAR(100), air_date DATE); CREATE TABLE mentions (mention_id INT, program_id INT, community_id INT); | Which underrepresented communities were mentioned in entertainment programs in the last six months? | SELECT community_name FROM underrepresented_communities JOIN mentions ON underrepresented_communities.community_id = mentions.community_id JOIN entertainment_programs ON mentions.program_id = entertainment_programs.program_id WHERE air_date >= DATEADD(month, -6, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE cargo_handling(cargo_id INT, cargo_type VARCHAR(50), weight FLOAT); CREATE TABLE regulatory_compliance(cargo_id INT, cargo_type VARCHAR(50), destination VARCHAR(50)); | What is the total weight of all cargos in the cargo_handling table that have a destination starting with the letter 'A' in the regulatory_compliance table? | SELECT CH.weight FROM cargo_handling CH JOIN regulatory_compliance RC ON CH.cargo_id = RC.cargo_id WHERE LEFT(RC.destination, 1) = 'A'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicle (type TEXT, CO2_emission FLOAT); INSERT INTO vehicle (type, CO2_emission) VALUES ('Car', 4.6), ('Truck', 12.2), ('Motorcycle', 2.3); | What is the average CO2 emission for each vehicle type? | SELECT type, AVG(CO2_emission) FROM vehicle GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA public_health_data; CREATE TABLE hospitals (id INT, name TEXT, location TEXT, capacity INT); INSERT INTO public_health_data.hospitals (id, name, location, capacity) VALUES (1, 'Hospital A', 'City A', 200), (2, 'Hospital B', 'City B', 250), (3, 'Hospital C', 'City C', 180), (4, 'Hospital D', 'City D', 150)... | What is the average capacity of hospitals in 'public_health_data'? | SELECT AVG(capacity) FROM public_health_data.hospitals; | 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 ('Ross Sea Marine Protected Area', 'Southern', 5500.0), ('Kerguelen Islands Plateau', 'Southern', 3000.0), ('South Georgia and South Sandwich Islands', 'Southern', 1000.0); | What is the maximum depth of marine protected areas in the Southern Ocean? | SELECT MAX(depth) FROM marine_protected_areas WHERE location = 'Southern'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ElectricVehicles (Type VARCHAR(50), Country VARCHAR(50), Count INT); INSERT INTO ElectricVehicles (Type, Country, Count) VALUES ('Compact', 'USA', 200000), ('SUV', 'USA', 150000), ('Sedan', 'USA', 100000); | What percentage of electric vehicles in the USA are compact cars? | SELECT (Count * 100.0 / (SELECT SUM(Count) FROM ElectricVehicles WHERE Country = 'USA')) FROM ElectricVehicles WHERE Type = 'Compact' AND Country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customer_data (id INT PRIMARY KEY, customer_id INT, wellbeing_score INT); CREATE TABLE financial_capability_loans (id INT PRIMARY KEY, customer_id INT, amount DECIMAL(10,2), date DATE); CREATE VIEW last_year_loans AS SELECT * FROM financial_capability_loans WHERE date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 Y... | How many customers who took out a financial capability loan in the last year have a financial wellbeing score higher than 80? | SELECT COUNT(DISTINCT customer_id) FROM high_scoring_customers; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech; CREATE TABLE if not exists biotech.funding (id INT, name VARCHAR(50), location VARCHAR(50), industry VARCHAR(50), funding DECIMAL(10, 2), funded_date DATE); INSERT INTO biotech.funding (id, name, location, industry, funding, funded_date) VALUES (1, 'FundingA', 'China', 'Biosensor Te... | What is the total funding for biosensor technology development, per quarter, for the past 2 years? | SELECT YEAR(funded_date) as year, QUARTER(funded_date) as quarter, SUM(funding) as total_funding FROM biotech.funding WHERE industry = 'Biosensor Technology' AND funded_date >= DATE_SUB(CURRENT_DATE, INTERVAL 2 YEAR) GROUP BY YEAR(funded_date), QUARTER(funded_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE songs (id INT, title VARCHAR(100), length FLOAT, genre VARCHAR(50)); CREATE VIEW song_lengths AS SELECT genre, AVG(length) as avg_length FROM songs GROUP BY genre; | What is the average length of the songs for each genre? | SELECT * FROM song_lengths; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_debris (debris_id INT, debris_name VARCHAR(50), country VARCHAR(50), longitude FLOAT, latitude FLOAT, altitude FLOAT, time_in_orbit INT); INSERT INTO space_debris (debris_id, debris_name, country, longitude, latitude, altitude, time_in_orbit) VALUES (1, 'DEBris-1', 'Russia', 100.123456, 20.123456, 50... | Which countries have the highest space debris density, in descending order? | SELECT country, AVG(altitude) AS avg_altitude, COUNT(*) OVER (PARTITION BY country ORDER BY AVG(altitude) DESC) AS debris_density FROM space_debris GROUP BY country ORDER BY AVG(altitude) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE CitizenComplaints (City VARCHAR(100), Complaint VARCHAR(100), Year INT); INSERT INTO CitizenComplaints (City, Complaint, Year) VALUES ('New York City', 'Traffic', 2020), ('Los Angeles', 'Traffic', 2020); | How many traffic complaints were received from citizens in New York City in the year 2020? | SELECT COUNT(*) FROM CitizenComplaints WHERE City = 'New York City' AND Complaint = 'Traffic' AND Year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE countries (id INT, name VARCHAR(20)); INSERT INTO countries (id, name) VALUES (1, 'USA'); INSERT INTO countries (id, name) VALUES (2, 'China'); CREATE TABLE esports_tournaments (id INT, country_id INT, name VARCHAR(20)); INSERT INTO esports_tournaments (id, country_id, name) VALUES (1, 1, 'Dreamhack'); INS... | Which countries have the most esports tournaments and what are their names? | SELECT countries.name, COUNT(esports_tournaments.id) AS tournament_count FROM countries INNER JOIN esports_tournaments ON countries.id = esports_tournaments.country_id GROUP BY countries.name ORDER BY tournament_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE transportation_union (member_id INT, union_name VARCHAR(20)); INSERT INTO transportation_union (member_id, union_name) VALUES (1, 'Transportation Workers Union'), (2, 'Drivers Union'), (3, 'Mechanics Union'), (4, 'Transportation Workers Union'); | What is the total number of members in the 'transportation_union' table? | SELECT COUNT(*) FROM transportation_union; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_development (id INT, location VARCHAR(20), initiative_name VARCHAR(50), completion_date DATE); INSERT INTO community_development (id, location, initiative_name, completion_date) VALUES (1, 'Rural', 'Road Expansion', '2020-05-15'), (2, 'Urban', 'Library Construction', '2021-08-27'); | How many community development initiatives were completed in rural areas of Colombia in 2020? | SELECT COUNT(*) FROM community_development WHERE location = 'Rural' AND EXTRACT(YEAR FROM completion_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name TEXT, location TEXT, funding_raised INT); | What is the average funding raised by startups in the Bay Area? | SELECT AVG(funding_raised) FROM startups WHERE location = 'Bay Area'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Age INT, GameType VARCHAR(20)); INSERT INTO Players (PlayerID, Age, GameType) VALUES (1, 25, 'Racing'); INSERT INTO Players (PlayerID, Age, GameType) VALUES (2, 30, 'RPG'); | Find the average age of players who play racing games | SELECT AVG(Age) FROM Players WHERE GameType = 'Racing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT PRIMARY KEY, name VARCHAR(50), age INT, gender VARCHAR(10), location VARCHAR(50)); INSERT INTO farmers (id, name, age, gender, location) VALUES (1, 'John Doe', 35, 'Male', 'USA'); INSERT INTO farmers (id, name, age, gender, location) VALUES (2, 'Jane Smith', 40, 'Female', 'Canada'); | Show the names and ages of farmers in the 'farmers' table | SELECT name, age FROM farmers; | gretelai_synthetic_text_to_sql |
CREATE TABLE news_articles (article_id INT, author VARCHAR(50), title VARCHAR(100), publication_date DATE, category VARCHAR(20)); INSERT INTO news_articles (article_id, author, title, publication_date, category) VALUES (1, 'John Doe', 'Article 1', '2022-01-01', 'Politics'), (2, 'Jane Smith', 'Article 2', '2022-01-02', ... | What is the number of unique authors who have published articles in each category from the 'news_articles' table? | SELECT category, COUNT(DISTINCT author) as unique_authors FROM news_articles GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE system_status (system_id INT PRIMARY KEY, status_date DATE, is_online BOOLEAN); INSERT INTO system_status (system_id, status_date, is_online) VALUES (1, '2022-04-01', TRUE), (2, '2022-04-10', FALSE), (3, '2022-04-15', FALSE); | Which systems have been offline for more than a week? | SELECT system_id, status_date FROM system_status WHERE is_online = FALSE AND status_date < DATE_SUB(CURRENT_DATE, INTERVAL 7 DAY); | gretelai_synthetic_text_to_sql |
CREATE TABLE detention_centers (id INT, name TEXT, state TEXT); INSERT INTO detention_centers (id, name, state) VALUES (1, 'Sacramento Juvenile Hall', 'California'); INSERT INTO detention_centers (id, name, state) VALUES (2, 'Los Angeles County Juvenile Hall', 'California'); CREATE TABLE offenders (id INT, name TEXT, d... | Which juvenile offenders were released early from detention centers in California? | SELECT name, detention_center_id, release_date FROM offenders WHERE detention_center_id IN (1, 2) AND release_date < DATE('now') | gretelai_synthetic_text_to_sql |
CREATE TABLE CulturallyCompetentHealthcareProviders (ProviderID INT, FirstName VARCHAR(50), LastName VARCHAR(50), Culture VARCHAR(50), Specialty VARCHAR(50)); INSERT INTO CulturallyCompetentHealthcareProviders (ProviderID, FirstName, LastName, Culture, Specialty) VALUES (1, 'Ali', 'Ahmed', 'Arabic', 'Pediatrics'); | What are the total counts of CulturallyCompetentHealthcareProviders by Culture? | SELECT Culture, COUNT(*) as Total_Count FROM CulturallyCompetentHealthcareProviders GROUP BY Culture; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (user_id INT, transaction_amount DECIMAL(10, 2), transaction_date DATE, country VARCHAR(255)); INSERT INTO transactions (user_id, transaction_amount, transaction_date, country) VALUES (1, 50.00, '2022-01-01', 'Canada'), (2, 100.50, '2022-01-02', 'Canada'), (3, 200.00, '2022-01-03', 'Canada'), ... | List the top 3 users with the highest transaction amounts in Canada? | SELECT user_id, transaction_amount FROM (SELECT user_id, transaction_amount, ROW_NUMBER() OVER (ORDER BY transaction_amount DESC) as rank FROM transactions WHERE country = 'Canada') as ranked_transactions WHERE rank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Project (project_id INT, region VARCHAR(20), budget DECIMAL(10,2)); INSERT INTO Project (project_id, region, budget) VALUES (1, 'Southeast', 7000000.00), (2, 'Northwest', 3000000.00); | Which transportation projects in the Southeast have a budget over 5 million? | SELECT * FROM Project WHERE region = 'Southeast' AND budget > 5000000.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE concerts (id INT, artist_id INT, city VARCHAR(50), country VARCHAR(50), revenue FLOAT); CREATE TABLE artists (id INT, name VARCHAR(50), genre VARCHAR(50)); INSERT INTO artists (id, name, genre) VALUES (1, 'The Beatles', 'Rock'), (2, 'Queen', 'Rock'), (3, 'Taylor Swift', 'Pop'), (4, 'BTS', 'K-Pop'); INSERT ... | Who is the artist with the highest total revenue from concerts in 'Asia'? | SELECT a.name, SUM(c.revenue) as total_revenue FROM artists a JOIN concerts c ON a.id = c.artist_id WHERE c.country IN ('South Korea', 'Japan') GROUP BY a.name ORDER BY total_revenue DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_items (item_id INT, item_name VARCHAR(255), price DECIMAL(5,2)); | Update the name of a menu item | UPDATE menu_items SET item_name = 'New Item Name' WHERE item_id = 123; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_projects (province VARCHAR(50), area VARCHAR(50), project_type VARCHAR(50), year INT, project_status VARCHAR(50)); | Get the number of energy efficiency projects implemented in rural areas for each province in the energy_projects table. | SELECT province, COUNT(*) as num_rural_projects FROM energy_projects WHERE area = 'Rural' AND project_status = 'Implemented' GROUP BY province; | gretelai_synthetic_text_to_sql |
CREATE TABLE infectious_disease_cases (id INT, case_id VARCHAR(50), location VARCHAR(50)); INSERT INTO infectious_disease_cases (id, case_id, location) VALUES (1, 'Case A', 'Urban Area A'); INSERT INTO infectious_disease_cases (id, case_id, location) VALUES (2, 'Case B', 'Rural Area B'); | What is the number of infectious disease cases reported in urban and rural areas in the public health database? | SELECT location, COUNT(*) FROM infectious_disease_cases GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, GenderIdentity VARCHAR(20), HireYear INT); INSERT INTO Employees (EmployeeID, GenderIdentity, HireYear) VALUES (1, 'Male', 2019), (2, 'Female', 2020), (3, 'Non-binary', 2020), (4, 'Genderqueer', 2019), (5, 'Female', 2018); | What is the total number of employees who were hired in 2020 and identify as female or non-binary? | SELECT COUNT(*) FROM Employees WHERE HireYear = 2020 AND GenderIdentity IN ('Female', 'Non-binary'); | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitarySpending (Country VARCHAR(50), MilitarySpending DECIMAL(10,2)); INSERT INTO MilitarySpending (Country, MilitarySpending) VALUES ('United States', 700000000), ('China', 250000000), ('Russia', 65000000), ('India', 55000000), ('Germany', 45000000); | What is the average military spending by the top 5 countries in military innovation? | SELECT AVG(MilitarySpending) AS AvgSpending FROM (SELECT MilitarySpending FROM MilitarySpending ORDER BY MilitarySpending DESC LIMIT 5) AS Top5Spenders; | gretelai_synthetic_text_to_sql |
CREATE TABLE Tournaments (Game VARCHAR(50), TournamentName VARCHAR(50), PrizePool INT); INSERT INTO Tournaments (Game, TournamentName, PrizePool) VALUES ('CS:GO', 'EL Major 2022', 500000); INSERT INTO Tournaments (Game, TournamentName, PrizePool) VALUES ('Dota 2', 'The International 2022', 40000000); INSERT INTO Tourna... | List all tournaments with a prize pool greater than the average prize pool across all tournaments. | SELECT Tournaments.Game, Tournaments.TournamentName, Tournaments.PrizePool FROM Tournaments WHERE Tournaments.PrizePool > (SELECT AVG(Tournaments.PrizePool) FROM Tournaments); | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (article_id INT, title VARCHAR(255), publication_date DATE, author_id INT); | Insert a new article with the id 101, title "AI in Journalism", publication date 2022-12-01, and author id 20 into the "articles" table | INSERT INTO articles (article_id, title, publication_date, author_id) VALUES (101, 'AI in Journalism', '2022-12-01', 20); | gretelai_synthetic_text_to_sql |
CREATE TABLE shark_depths (shark VARCHAR(255), min_depth FLOAT); INSERT INTO shark_depths (shark, min_depth) VALUES ('Blue Shark', 700.0), ('Thresher Shark', 300.0); | What is the minimum depth at which the Blue Shark is found? | SELECT min_depth FROM shark_depths WHERE shark = 'Blue Shark'; | gretelai_synthetic_text_to_sql |
CREATE TABLE habitat_projects (id INT, name VARCHAR(255), type VARCHAR(20), budget DECIMAL(10, 2)); INSERT INTO habitat_projects (id, name, type, budget) VALUES (1, 'Habitat Restoration', 'Forest', 50000), (2, 'Wildlife Corridors', 'Savannah', 75000), (3, 'Wetlands Conservation', 'Wetlands', 60000), (4, 'Forest Protect... | Display the total budget for each type of habitat preservation project | SELECT h.type, SUM(hp.budget) as total_budget FROM habitat_projects hp JOIN habitats h ON hp.type = h.type GROUP BY h.type; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT, company_id INT, investment_value FLOAT); CREATE TABLE companies (id INT, name VARCHAR(255), ESG_rating INT, region VARCHAR(255)); INSERT INTO investments (id, company_id, investment_value) VALUES (1, 1, 500000), (2, 1, 1000000), (3, 2, 2000000); INSERT INTO companies (id, name, ESG_rat... | What is the total investment value in companies with a low ESG rating in the Middle East and North Africa? | SELECT SUM(investment_value) FROM investments i JOIN companies c ON i.company_id = c.id WHERE c.ESG_rating <= 4 AND c.region IN ('Middle East and North Africa'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Project_Timeline (id INT, region VARCHAR(20), project VARCHAR(30), phase VARCHAR(20), start_date DATE, end_date DATE, labor_cost FLOAT); INSERT INTO Project_Timeline (id, region, project, phase, start_date, end_date, labor_cost) VALUES (1, 'North', 'Green Tower', 'Planning', '2021-05-01', '2021-07-31', 500... | What is the maximum labor cost for any project in the 'South' region? | SELECT MAX(labor_cost) FROM Project_Timeline WHERE region = 'South'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (name VARCHAR(255), region VARCHAR(255)); INSERT INTO hospitals (name, region) VALUES ('Hospital A', 'Region 1'), ('Hospital B', 'Region 2'); | What is the number of hospitals and their respective regions in the rural health database? | SELECT region, COUNT(name) FROM hospitals GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments(id INT, startup_id INT, round_number INT, investment_amount INT); INSERT INTO investments VALUES (1, 1, 1, 1000000); INSERT INTO investments VALUES (2, 1, 2, 5000000); INSERT INTO investments VALUES (3, 2, 1, 2000000); | What is the total funding amount for startups founded by veterans in the renewable energy sector? | SELECT SUM(investment_amount) FROM investments JOIN startups ON investments.startup_id = startups.id WHERE startups.founder_identity = 'Veteran' AND startups.industry = 'Renewable Energy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE animals (id INT, species TEXT, population INT); CREATE TABLE habitats (id INT, name TEXT, animal_id INT, size_km2 FLOAT); INSERT INTO animals (id, species, population) VALUES (1, 'Tiger', 1200), (2, 'Elephant', 1500), (3, 'Rhinoceros', 800); INSERT INTO habitats (id, name, animal_id, size_km2) VALUES (1, '... | What is the average and total population of each animal species in protected habitats? | SELECT species, AVG(a.population) as avg_population, SUM(a.population) as total_population FROM animals a JOIN habitats h ON a.id = h.animal_id GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE SalesData (sale_id INT, product_id INT, sale_date DATE, sale_revenue FLOAT); INSERT INTO SalesData (sale_id, product_id, sale_date, sale_revenue) VALUES (1, 1, '2022-01-02', 75), (2, 2, '2022-01-15', 30), (3, 3, '2022-01-28', 60), (4, 4, '2022-01-10', 120), (5, 5, '2022-01-22', 45); | Determine the percentage of sales revenue generated by products with a price point above $50, considering only sales from the past month. | SELECT (SUM(sale_revenue) / (SELECT SUM(sale_revenue) FROM SalesData WHERE sale_date >= DATEADD(month, -1, GETDATE()))) * 100 as revenue_percentage FROM SalesData WHERE product_id IN (SELECT product_id FROM Products WHERE price > 50) AND sale_date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonationID INT, DonorID INT, ProgramID INT, DonationAmount DECIMAL(10,2)); INSERT INTO Donations (DonationID, DonorID, ProgramID, DonationAmount) VALUES (1, 1, 1, 500.00); INSERT INTO Donations (DonationID, DonorID, ProgramID, DonationAmount) VALUES (2, 2, 2, 750.00); | List the top 5 donors who have contributed to both the Environment and Health programs? | SELECT DonorID, SUM(DonationAmount) AS TotalDonationAmount FROM Donations WHERE ProgramID IN (1, 2) GROUP BY DonorID ORDER BY TotalDonationAmount DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_clinic (id INT, name VARCHAR(50), specialty VARCHAR(50)); INSERT INTO rural_clinic (id, name, specialty) VALUES (1, 'John Doe', 'Cardiology'), (2, 'Jane Smith', 'Pediatrics'), (3, 'Michael Brown', 'Cardiology'); | What is the total number of healthcare providers in the 'rural_clinic' table who are specialized in cardiology? | SELECT COUNT(*) FROM rural_clinic WHERE specialty = 'Cardiology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT PRIMARY KEY, FirstName VARCHAR(50), LastName VARCHAR(50), Department VARCHAR(50), TrainingCompletion DATE); | Insert a new employee into the Employees table | INSERT INTO Employees (EmployeeID, FirstName, LastName, Department, TrainingCompletion) VALUES (4, 'Jamal', 'Jackson', 'IT', '2022-03-20'); | gretelai_synthetic_text_to_sql |
CREATE TABLE investor (investor_id INT, name VARCHAR(255), country VARCHAR(255), impact_score FLOAT); INSERT INTO investor (investor_id, name, country, impact_score) VALUES (1, 'Acme Corp', 'Kenya', 85.5), (2, 'Beta Inc', 'Nigeria', 90.0); CREATE TABLE investment (investment_id INT, investor_id INT, strategy VARCHAR(25... | Which African countries do investors with the highest impact scores come from? | SELECT country, AVG(impact_score) as avg_impact_score FROM investor GROUP BY country ORDER BY avg_impact_score DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, donor_date DATE); INSERT INTO donors (id, donor_date) VALUES (1, '2021-01-01'), (2, '2021-01-15'), (3, '2021-03-30'); | What is the total number of volunteers and donors? | SELECT (SELECT COUNT(*) FROM volunteers) + (SELECT COUNT(*) FROM donors) AS total; | gretelai_synthetic_text_to_sql |
CREATE TABLE arctic_biodiversity (id INTEGER, species_name TEXT, biomass FLOAT); | What is the total biomass of each species in the 'arctic_biodiversity' table? | SELECT species_name, SUM(biomass) as total_biomass FROM arctic_biodiversity GROUP BY species_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Disability_Policy_Advocacy (Department VARCHAR(20), Fiscal_Year INT, Budget DECIMAL(5,2)); INSERT INTO Disability_Policy_Advocacy VALUES ('DSS', 2021, 15000.00), ('DSS', 2022, 16000.00), ('EOP', 2021, 12000.00), ('EOP', 2022, 13000.00), ('HRS', 2021, 18000.00), ('HRS', 2022, 19000.00); | What is the total disability policy advocacy budget for each department in the last two fiscal years? | SELECT Department, Fiscal_Year, SUM(Budget) as Total_Budget FROM Disability_Policy_Advocacy WHERE Fiscal_Year IN (2021, 2022) GROUP BY Department, Fiscal_Year ORDER BY Fiscal_Year, Department; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainableBites (menu_item VARCHAR(50), is_vegetarian BOOLEAN); INSERT INTO SustainableBites (menu_item, is_vegetarian) VALUES ('Lentil Soup', true), ('Grilled Cheese', true), ('Chicken Sandwich', false); | How many vegetarian options are available in the 'Sustainable Bites' menu? | SELECT COUNT(*) FROM SustainableBites WHERE is_vegetarian = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE Quality_Control (id INT, chemical_name VARCHAR(255), date DATE, defects INT); INSERT INTO Quality_Control (id, chemical_name, date, defects) VALUES (1, 'Acetic Acid', '2022-01-02', 5); INSERT INTO Quality_Control (id, chemical_name, date, defects) VALUES (2, 'Nitric Acid', '2022-01-04', 3); INSERT INTO Qua... | What is the average number of defects per day for each chemical? | SELECT chemical_name, AVG(defects) as avg_defects FROM Quality_Control GROUP BY chemical_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Space_Missions (Mission_Name VARCHAR(50), Astronaut_ID INT, Mission_Duration INT); INSERT INTO Space_Missions (Mission_Name, Astronaut_ID, Mission_Duration) VALUES ('Artemis I', 1, 25); INSERT INTO Space_Missions (Mission_Name, Astronaut_ID, Mission_Duration) VALUES ('Artemis II', 2, 300); INSERT INTO Spac... | What are the total mission durations for each space mission? | SELECT Mission_Name, SUM(Mission_Duration) as Total_Mission_Duration FROM Space_Missions GROUP BY Mission_Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (id INT, name VARCHAR(255)); CREATE TABLE production (factory_id INT, quantity INT, product_type VARCHAR(255)); INSERT INTO factories (id, name) VALUES (1, 'Factory A'), (2, 'Factory B'), (3, 'Factory C'); INSERT INTO production (factory_id, quantity, product_type) VALUES (1, 500, 'Electronic Dev... | What is the total production output for each factory? | SELECT f.name, SUM(p.quantity) FROM factories f INNER JOIN production p ON f.id = p.factory_id GROUP BY f.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE wind_turbines (turbine_id INT, energy_production_before FLOAT, energy_production_after FLOAT); INSERT INTO wind_turbines (turbine_id, energy_production_before, energy_production_after) VALUES (1, 1.5, 2.3), (2, 2.0, 2.5), (3, 2.2, 2.8); | Determine the change in energy production for each wind turbine after installation. | SELECT turbine_id, (energy_production_after - energy_production_before) AS energy_production_change FROM wind_turbines | gretelai_synthetic_text_to_sql |
CREATE TABLE flight_hours (airline VARCHAR(50), country VARCHAR(50), flight_hours INT, year INT); INSERT INTO flight_hours (airline, country, flight_hours, year) VALUES ('Korean Air', 'South Korea', 150000, 2019), ('Asiana Airlines', 'South Korea', 140000, 2019); | What is the maximum number of flight hours recorded by a commercial airline in South Korea in 2019? | SELECT MAX(flight_hours) FROM flight_hours WHERE country = 'South Korea' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vendors (vendorID INT, vendorName VARCHAR(50), country VARCHAR(50), ethicalPractice BOOLEAN); CREATE TABLE Products (productID INT, vendorID INT, productName VARCHAR(50), price DECIMAL(10,2)); CREATE TABLE Sales (saleID INT, productID INT, saleDate DATE); | Who are the vendors in Africa with ethical labor practices and their total revenue from Q2 2022? | SELECT V.vendorName, SUM(P.price) FROM Vendors V INNER JOIN Products P ON V.vendorID = P.vendorID INNER JOIN Sales S ON P.productID = S.productID WHERE V.country = 'Africa' AND V.ethicalPractice = TRUE AND S.saleDate BETWEEN '2022-04-01' AND '2022-06-30' GROUP BY V.vendorName; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, supporter INT, donation_date DATE); INSERT INTO donations (id, supporter, donation_date) VALUES (1, 1, '2022-01-01'), (2, 1, '2022-01-02'), (3, 2, '2022-01-01'), (4, 3, '2022-01-03'), (5, 3, '2022-01-03'); | What is the number of donations provided by each supporter on each day? | SELECT supporter, donation_date, COUNT(*) OVER (PARTITION BY supporter, donation_date) AS donations_per_day FROM donations; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (title VARCHAR(255), rating FLOAT, production_country VARCHAR(64)); | What is the average rating of movies produced in the USA? | SELECT AVG(rating) FROM movies WHERE production_country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE species_observations (species_id INT, station_id INT); | Find the number of unique species observed at each research station. | SELECT station_id, COUNT(DISTINCT species_id) AS unique_species_count FROM species_observations GROUP BY station_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists hydro_power_plants (plant_id integer, plant_name varchar(255), plant_location varchar(255), capacity_mw integer); INSERT INTO hydro_power_plants (plant_id, plant_name, plant_location, capacity_mw) VALUES (1, 'Plant A', 'France', 2000), (2, 'Plant B', 'Germany', 2500), (3, 'Plant C', 'Spain', ... | What is the maximum capacity (in MW) of hydroelectric power plants in Europe, and which plant has the highest capacity? | SELECT plant_location, MAX(capacity_mw) as max_capacity FROM hydro_power_plants WHERE plant_location LIKE 'Europe%' GROUP BY plant_location; | gretelai_synthetic_text_to_sql |
CREATE TABLE BuildingPermitsNY (id INT, city VARCHAR(20), year INT, permit_number VARCHAR(20)); INSERT INTO BuildingPermitsNY (id, city, year, permit_number) VALUES (1, 'New York', 2021, 'ABC123'), (2, 'New York', 2022, 'DEF456'), (3, 'New York', 2021, 'GHI789'); | What is the total number of building permits issued in the city of New York in 2021 and 2022? | SELECT permit_number FROM BuildingPermitsNY WHERE city = 'New York' AND year IN (2021, 2022); | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (donor_id INT, donor_name VARCHAR(255)); INSERT INTO Donors (donor_id, donor_name) VALUES (1, 'John Doe'), (2, 'Jane Smith'), (3, 'Jim Brown'); | Who are the top 3 donors to 'Health' cause in '2022'? | SELECT Donor_name, SUM(donation_amount) as total_donated FROM Donations JOIN Donors ON Donations.donor_id = Donors.donor_id WHERE donation_date >= '2022-01-01' AND donation_date < '2023-01-01' AND cause = 'Health' GROUP BY Donor_name ORDER BY total_donated DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (city VARCHAR(20), material VARCHAR(20), year INT, recycled_quantity INT); INSERT INTO recycling_rates (city, material, year, recycled_quantity) VALUES ('Seattle', 'Plastic', 2020, 800), ('Seattle', 'Glass', 2020, 1200), ('Seattle', 'Paper', 2020, 1500), ('Seattle', 'Metal', 2020, 900); | Which materials were recycled the most in the city of Seattle in 2020? | SELECT MAX(recycled_quantity) AS max_recycled, material FROM recycling_rates WHERE city = 'Seattle' AND year = 2020 GROUP BY material; | gretelai_synthetic_text_to_sql |
CREATE TABLE shared_scooters (scooter_id INT, trip_id INT, trip_start_time TIMESTAMP, trip_end_time TIMESTAMP, trip_distance FLOAT, city VARCHAR(50)); INSERT INTO shared_scooters (scooter_id, trip_id, trip_start_time, trip_end_time, trip_distance, city) VALUES (1, 1001, '2022-01-01 10:00:00', '2022-01-01 10:15:00', 5.3... | What is the maximum trip distance for shared electric scooters in Paris? | SELECT MAX(trip_distance) FROM shared_scooters WHERE city = 'Paris'; | gretelai_synthetic_text_to_sql |
CREATE TABLE members (member_id INT, name VARCHAR(50), gender VARCHAR(10), dob DATE); INSERT INTO members (member_id, name, gender, dob) VALUES (1, 'Leila Alvarez', 'Female', '2002-04-02'); INSERT INTO members (member_id, name, gender, dob) VALUES (2, 'Mohammed Ibrahim', 'Male', '2000-11-28'); CREATE TABLE workout_sess... | What is the maximum duration of a single workout session for each member? | SELECT member_id, MAX(duration) AS max_duration FROM workout_sessions GROUP BY member_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping_operations (id INT PRIMARY KEY, name VARCHAR(255), continent VARCHAR(255), status VARCHAR(255)); INSERT INTO peacekeeping_operations (id, name, continent, status) VALUES (1, 'MINUSCA', 'Africa', 'inactive'), (2, 'MONUSCO', 'Africa', 'planning'), (3, 'UNMISS', 'Africa', 'active'); | Update the 'status' column to 'completed' for all records in the 'peacekeeping_operations' table where 'name' is 'MONUSCO' | UPDATE peacekeeping_operations SET status = 'completed' WHERE name = 'MONUSCO'; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_purchases (user_id INT, user_country VARCHAR(50), purchase_date DATE, purchase_amount DECIMAL(10, 2)); | What is the total revenue earned from users in Japan who have made purchases on our platform between March 15 and March 31, 2022? | SELECT SUM(purchase_amount) FROM user_purchases WHERE user_country = 'Japan' AND purchase_date BETWEEN '2022-03-15' AND '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Menu (menu_id INT, menu_name VARCHAR(20), is_vegetarian BOOLEAN); CREATE TABLE Menu_Orders (order_id INT, menu_id INT, order_date DATE); INSERT INTO Menu (menu_id, menu_name, is_vegetarian) VALUES (1, 'Breakfast', TRUE), (2, 'Lunch', FALSE), (3, 'Dinner', FALSE), (4, 'Vegetarian Platter', TRUE); INSERT INT... | How many vegetarian menu items were sold in the month of March 2022? | SELECT COUNT(*) FROM Menu_Orders INNER JOIN Menu ON Menu_Orders.menu_id = Menu.menu_id WHERE Menu.is_vegetarian = TRUE AND MONTH(Menu_Orders.order_date) = 3 AND YEAR(Menu_Orders.order_date) = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (vessel_id INT, vessel_name VARCHAR(50), type VARCHAR(50), CO2_emission_level FLOAT); CREATE TABLE handling (handling_id INT, vessel_id INT, port_id INT, handling_date DATE); | Identify vessels with a CO2 emission level above the average, for vessels that have handled cargo at the port of 'Rotterdam'. | SELECT v.vessel_name, v.CO2_emission_level FROM vessels v JOIN handling h ON v.vessel_id = h.vessel_id WHERE h.port_id = (SELECT port_id FROM ports WHERE port_name = 'Rotterdam') GROUP BY v.vessel_name, v.CO2_emission_level HAVING CO2_emission_level > (SELECT AVG(CO2_emission_level) FROM vessels); | gretelai_synthetic_text_to_sql |
CREATE TABLE CONTAINER_FLEET (ID INT, Age INT, Type VARCHAR(20)); INSERT INTO CONTAINER_FLEET (ID, Age, Type) VALUES (1, 5, 'Dry'), (2, 3, 'Reefer'), (3, 7, 'Tank'); | What is the average age of containers in the 'CONTAINER_FLEET' table? | SELECT AVG(Age) FROM CONTAINER_FLEET; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessel_safety (id INT, vessel_id INT, record_date DATE); | List all the vessels that have a safety record older than 10 years. | SELECT v.name FROM vessel_safety vs JOIN vessel v ON vs.vessel_id = v.id WHERE vs.record_date < DATE_SUB(CURRENT_DATE, INTERVAL 10 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE if NOT EXISTS community_education (program_id INT, program_name VARCHAR(50), donation_count INT, donor_country VARCHAR(50)); INSERT INTO community_education (program_id, program_name, donation_count, donor_country) VALUES (1, 'Wildlife Conservation 101', 500, 'Canada'); INSERT INTO community_education (pro... | List the community education programs that have received donations from the 'United States'. | SELECT program_name FROM community_education WHERE donor_country = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE DApps (id INT, name VARCHAR(100), network VARCHAR(50), status VARCHAR(50)); INSERT INTO DApps (id, name, network, status) VALUES (1, 'Uniswap', 'Ethereum', 'active'), (2, 'Sushiswap', 'Ethereum', 'inactive'); | How many decentralized applications (dApps) are currently running on the Ethereum network? | SELECT COUNT(*) FROM DApps WHERE network = 'Ethereum' AND status = 'active'; | gretelai_synthetic_text_to_sql |
CREATE TABLE accounts (id INT, city VARCHAR(50), state VARCHAR(50), account_balance DECIMAL(10,2)); CREATE TABLE customers (id INT, name VARCHAR(100), age INT, gender VARCHAR(10), city VARCHAR(50), state VARCHAR(50)); | Find the account with the highest balance for each city. | SELECT city, MAX(account_balance) as max_balance FROM accounts GROUP BY city; SELECT a.city, a.account_balance FROM accounts a JOIN (SELECT city, MAX(account_balance) as max_balance FROM accounts GROUP BY city) b ON a.city = b.city AND a.account_balance = b.max_balance; | gretelai_synthetic_text_to_sql |
CREATE TABLE company_founding (id INT, company_name VARCHAR(50), founder_name VARCHAR(50), year INT, industry VARCHAR(50)); | List the top 3 industries with the highest number of female founders | SELECT industry, COUNT(*) AS num_companies FROM company_founding WHERE founder_name IN (SELECT name FROM founders WHERE gender = 'Female') GROUP BY industry ORDER BY num_companies DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE agricultural_projects (id INT, project_name VARCHAR(255), funding FLOAT, start_date DATE, county VARCHAR(50)); INSERT INTO agricultural_projects (id, project_name, funding, start_date, county) VALUES (1, 'Precision Farming', 120000.00, '2015-09-18', 'Kilifi'), (2, 'Crop Disease Detection', 180000.00, '2016... | What is the total funding for agricultural innovation projects in Kenya's Kilifi county that started between 2015 and 2016? | SELECT SUM(funding) FROM agricultural_projects WHERE county = 'Kilifi' AND start_date BETWEEN '2015-01-01' AND '2016-12-31' | gretelai_synthetic_text_to_sql |
CREATE TABLE BlueCorpProjects(id INT, contractor VARCHAR(255), project VARCHAR(255), start_date DATE, end_date DATE);INSERT INTO BlueCorpProjects(id, contractor, project, start_date, end_date) VALUES (1, 'Blue Corp.', 'Aircraft Carrier Construction', '2018-01-01', '2020-12-31'); | List the defense projects with timelines exceeding 18 months for 'Blue Corp.'. | SELECT project FROM BlueCorpProjects WHERE DATEDIFF(end_date, start_date) > 547 AND contractor = 'Blue Corp.'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT, name VARCHAR(100), region VARCHAR(50), biomass FLOAT, classified BOOLEAN); | What is the total biomass of marine species in the Southern Ocean, excluding species that are not yet classified? | SELECT SUM(ms.biomass) as total_biomass FROM marine_species ms WHERE ms.region = 'Southern Ocean' AND ms.classified = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Defense_Contracts (contract_id INT, company_name TEXT, state TEXT, award_amount FLOAT, quarter INT, year INT); INSERT INTO Defense_Contracts (contract_id, company_name, state, award_amount, quarter, year) VALUES (1, 'Texas Manufacturing Inc', 'Texas', 5000000, 1, 2020), (2, 'Austin Defense Systems', 'Texas... | What is the total value of defense contracts awarded to companies in Texas in Q1 2020? | SELECT SUM(award_amount) FROM Defense_Contracts WHERE state = 'Texas' AND quarter = 1 AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE urban_farmers (id INT, name VARCHAR(50), location VARCHAR(50), crops VARCHAR(50)); CREATE TABLE crops (id INT, name VARCHAR(50), yield INT); INSERT INTO urban_farmers VALUES (1, 'Jamal Johnson', 'New York', 'Tomatoes'); INSERT INTO crops VALUES (1, 'Tomatoes', 180); | Which urban farmer has the highest tomato yield in New York? | SELECT name FROM urban_farmers INNER JOIN crops ON urban_farmers.crops = crops.name WHERE crops.name = 'Tomatoes' AND crops.yield = (SELECT MAX(yield) FROM crops WHERE name = 'Tomatoes') AND urban_farmers.location = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE veteran_employment (department VARCHAR(100), num_veterans INT, total_employees INT); | Which department has the lowest veteran employment rate? | SELECT department, (num_veterans/total_employees)*100 AS veteran_rate FROM veteran_employment ORDER BY veteran_rate LIMIT 1; | gretelai_synthetic_text_to_sql |
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