context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE energy_consumption (country text, source text, year integer, consumption integer); | What was the total energy consumption of the top 5 renewable energy sources, by country, in 2018? | SELECT country, source, SUM(consumption) as total_consumption FROM energy_consumption WHERE year = 2018 AND source IN ('Solar', 'Wind', 'Hydro', 'Geothermal', 'Biomass') GROUP BY country ORDER BY total_consumption DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE properties (id INT, size INT, country VARCHAR(255)); INSERT INTO properties (id, size, country) VALUES (1, 1500, 'Spain'), (2, 2000, 'Spain'), (3, 1800, 'Spain'); | What is the 3rd largest property size in Spain? | SELECT size FROM (SELECT size, ROW_NUMBER() OVER (ORDER BY size DESC) as rn FROM properties WHERE country = 'Spain') t WHERE rn = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (employee_id INT, employee_name VARCHAR(255), department VARCHAR(255)); CREATE TABLE accommodations (accommodation_id INT, employee_id INT, accommodation_type VARCHAR(255), request_date DATE); INSERT INTO employees (employee_id, employee_name, department) VALUES (1, 'Jane Smith', 'HR'), (2, 'John... | Who are the top 5 employees with the most disability accommodations requests? | SELECT e.employee_name, COUNT(a.employee_id) as num_requests FROM employees e INNER JOIN accommodations a ON e.employee_id = a.employee_id GROUP BY e.employee_name ORDER BY num_requests DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID int, DonorName text); INSERT INTO Donors (DonorID, DonorName) VALUES (1, 'Alice Johnson'), (2, 'Bob Smith'), (3, 'Carol Brown'); | What is the number of unique donors and volunteers for each organization, ordered by the number of total contributions? | SELECT OrganizationID, ROW_NUMBER() OVER (ORDER BY DonorCount + VolunteerCount DESC) as Rank, DonorCount, VolunteerCount FROM (SELECT OrganizationID, COUNT(DISTINCT DonorID) as DonorCount, COUNT(DISTINCT VolunteerID) as VolunteerCount FROM Volunteers JOIN Donations ON Volunteers.DonorID = Donations.DonorID JOIN Donatio... | gretelai_synthetic_text_to_sql |
CREATE TABLE Policyholder (PolicyholderID INT, PolicyholderAge INT, PolicyholderGender VARCHAR(10)); CREATE TABLE Claim (ClaimID INT, PolicyholderID INT, ClaimAmount DECIMAL(10,2)); INSERT INTO Policyholder VALUES (1, 45, 'Female'), (2, 55, 'Male'), (3, 30, 'Female'); INSERT INTO Claim VALUES (1, 1, 5000), (2, 1, 3000)... | Find the total claim amount for each gender? | SELECT PolicyholderGender, SUM(ClaimAmount) as TotalClaimAmount FROM Claim JOIN Policyholder ON Claim.PolicyholderID = Policyholder.PolicyholderID GROUP BY PolicyholderGender; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (id INT, organization VARCHAR(255), result VARCHAR(10), duration INT); INSERT INTO space_missions (id, organization, result, duration) VALUES (1, 'NASA', 'successful', 120), (2, 'SpaceX', 'successful', 200), (3, 'ESA', 'unsuccessful', 150), (4, 'NASA', 'successful', 180), (5, 'SpaceX', 'unsu... | What is the average duration of successful space missions for each organization? | SELECT organization, AVG(duration) FROM space_missions WHERE result = 'successful' GROUP BY organization; | gretelai_synthetic_text_to_sql |
CREATE TABLE ingredients (id INT, name VARCHAR(50), is_organic BOOLEAN, supplier_id INT); INSERT INTO ingredients (id, name, is_organic, supplier_id) VALUES (1, 'Kale', TRUE, 101), (2, 'Quinoa', TRUE, 101), (3, 'Eggs', FALSE, 102), (4, 'Garlic', TRUE, 103); CREATE TABLE suppliers (id INT, name VARCHAR(50)); INSERT INTO... | Find suppliers offering the most variety of organic ingredients | SELECT s.name, COUNT(DISTINCT i.name) FROM ingredients i INNER JOIN suppliers s ON i.supplier_id = s.id WHERE i.is_organic = TRUE GROUP BY s.name ORDER BY COUNT(DISTINCT i.name) DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (attorney_id INT, name TEXT); CREATE TABLE cases (case_id INT, attorney_id INT); | How many cases did each attorney work on, grouped by attorney name? | SELECT a.name, COUNT(c.attorney_id) AS case_count FROM attorneys a JOIN cases c ON a.attorney_id = c.attorney_id GROUP BY a.name | gretelai_synthetic_text_to_sql |
CREATE TABLE indigenous_communities (id INT, community_name VARCHAR(255), region VARCHAR(255)); INSERT INTO indigenous_communities (id, community_name, region) VALUES (1, 'Community A', 'arctic_circle'), (2, 'Community B', 'canada'), (3, 'Community C', 'greenland'), (4, 'Community D', 'arctic_circle'); | List all indigenous communities in the 'arctic_circle' region. | SELECT community_name FROM indigenous_communities WHERE region = 'arctic_circle'; | gretelai_synthetic_text_to_sql |
CREATE TABLE geopolitical_risk_assessments (id INT, region VARCHAR(255), assessment_year INT, assessment_text TEXT); INSERT INTO geopolitical_risk_assessments (id, region, assessment_year, assessment_text) VALUES (1, 'South America', 2018, 'Assessment 3'); INSERT INTO geopolitical_risk_assessments (id, region, assessme... | Find the number of geopolitical risk assessments for the South American region in the year 2018. | SELECT COUNT(*) FROM geopolitical_risk_assessments WHERE region = 'South America' AND assessment_year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (factory_id INT, location VARCHAR(50), capacity INT); INSERT INTO factories (factory_id, location, capacity) VALUES (1, 'Madrid, Spain', 5000), (2, 'Paris, France', 7000), (3, 'London, UK', 6000); | How many factories are there in total? | SELECT COUNT(*) FROM factories; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Name VARCHAR(50), Gender VARCHAR(50), Salary FLOAT); INSERT INTO Employees (EmployeeID, Name, Gender, Salary) VALUES (1, 'John Doe', 'Male', 75000.00), (2, 'Jane Smith', 'Female', 80000.00), (3, 'Mike Johnson', 'Male', 60000.00); | What is the difference in average salary between male and female employees? | SELECT (AVG(CASE WHEN Gender = 'Male' THEN Salary ELSE NULL END) - AVG(CASE WHEN Gender = 'Female' THEN Salary ELSE NULL END)) AS salary_difference; | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (program_id INT, name VARCHAR(50), region VARCHAR(20), program_type VARCHAR(30)); INSERT INTO programs (program_id, name, region, program_type) VALUES (1, 'Financial Education', 'East', 'Financial Capability'), (2, 'Credit Counseling', 'West', 'Debt Management'); | What is the percentage of financial capability programs offered in the East region? | SELECT region, (COUNT(*) FILTER (WHERE program_type = 'Financial Capability')) * 100.0 / COUNT(*) AS percentage FROM programs GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE threat_intelligence (country VARCHAR(100), threat_level VARCHAR(20), quarter VARCHAR(10)); | Compare threat levels for 'USA' and 'Canada' in Q2 2022 | SELECT country, threat_level FROM threat_intelligence WHERE country IN ('USA', 'Canada') AND quarter = 'Q2 2022'; | gretelai_synthetic_text_to_sql |
CREATE TABLE region (region_id INT, name VARCHAR(255)); INSERT INTO region (region_id, name) VALUES (1, 'west_africa'); CREATE TABLE shelter (shelter_id INT, name VARCHAR(255), region_id INT, capacity INT); INSERT INTO shelter (shelter_id, name, region_id, capacity) VALUES (1, 'Shelter1', 1, 50), (2, 'Shelter2', 1, 75)... | What is the maximum capacity of a shelter in 'west_africa' region? | SELECT MAX(capacity) FROM shelter WHERE region_id = (SELECT region_id FROM region WHERE name = 'west_africa'); | gretelai_synthetic_text_to_sql |
CREATE TABLE cosmetic_sales (product_id INT, sale_volume INT, market VARCHAR(10)); CREATE TABLE product_info (product_id INT, is_natural BOOLEAN); INSERT INTO product_info (product_id, is_natural) VALUES (1, true), (2, false), (3, true); INSERT INTO cosmetic_sales (product_id, sale_volume, market) VALUES (1, 200, 'ME')... | What is the total sales volume for natural cosmetics in the Middle Eastern market? | SELECT SUM(cs.sale_volume) FROM cosmetic_sales cs JOIN product_info pi ON cs.product_id = pi.product_id WHERE pi.is_natural = true AND cs.market = 'ME'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_safety_incidents (incident_id INT, incident_date DATE, ai_subfield TEXT, incident_description TEXT); INSERT INTO ai_safety_incidents (incident_id, incident_date, ai_subfield, incident_description) VALUES (1, '2020-01-01', 'Explainable AI', 'Model failed to provide clear explanations'); INSERT INTO ai_sa... | What is the total number of AI safety incidents reported for each AI subfield in the first half of 2021? | SELECT ai_subfield, COUNT(*) as incidents FROM ai_safety_incidents WHERE incident_date BETWEEN '2021-01-01' AND '2021-06-30' GROUP BY ai_subfield; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_tools (tool_id INT, tool_name VARCHAR(50), region VARCHAR(50), rating FLOAT); INSERT INTO ai_tools (tool_id, tool_name, region, rating) VALUES (1, 'AITSG1', 'APAC', 4.3), (2, 'AITSG2', 'EMEA', 4.6), (3, 'AITSG3', 'AMER', 4.5); | Which regions have the highest and lowest rated AI tools? | SELECT region, MAX(rating) as max_rating, MIN(rating) as min_rating FROM ai_tools GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE Garment (garment_id INT PRIMARY KEY, garment_name VARCHAR(50), category VARCHAR(50), price DECIMAL(10,2)); INSERT INTO Garment (garment_id, garment_name, category, price) VALUES (1, 'Cotton T-Shirt', 'Tops', 20.00), (2, 'Jeans Pants', 'Bottoms', 40.00), (3, 'Linen Blouse', 'Tops', 30.00); | Delete the garment records with a price less than 20.00 or greater than 40.00 in the Garment table. | DELETE FROM Garment WHERE price < 20.00 OR price > 40.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE Port (port_id INT PRIMARY KEY, port_name VARCHAR(255)); INSERT INTO Port (port_id, port_name) VALUES (1, 'Seattle'); CREATE TABLE Vessel_Movement (vessel_id INT, movement_date DATE, port_id INT, speed DECIMAL(5,2), PRIMARY KEY (vessel_id, movement_date)); | What was the average speed of vessels visiting port Seattle in the fourth quarter of 2020? | SELECT AVG(speed) FROM Vessel_Movement VM JOIN Port P ON VM.port_id = P.port_id WHERE P.port_name = 'Seattle' AND EXTRACT(MONTH FROM VM.movement_date) BETWEEN 10 AND 12 AND EXTRACT(YEAR FROM VM.movement_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE explainable_ai (id INTEGER, method TEXT, interpretability_score REAL, last_updated TIMESTAMP); | Insert a new record into the explainable_ai table with method set to 'SHAP', interpretability_score set to 0.9, and last_updated set to the current timestamp | INSERT INTO explainable_ai (method, interpretability_score, last_updated) VALUES ('SHAP', 0.9, CURRENT_TIMESTAMP); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (area_name TEXT, location TEXT); INSERT INTO marine_protected_areas (area_name, location) VALUES ('Area 1', 'Caribbean Sea'), ('Area 2', 'Mediterranean Sea'), ('Area 3', 'Caribbean Sea'), ('Area 4', 'Indian Ocean'); | How many marine protected areas are in the Caribbean sea? | SELECT COUNT(*) FROM marine_protected_areas WHERE location = 'Caribbean Sea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE economic_diversification (id INT, name VARCHAR(50), type VARCHAR(50), budget FLOAT); INSERT INTO economic_diversification (id, name, type, budget) VALUES (1, 'Handicraft Training', 'Economic Diversification', 50000.00), (2, 'Eco-tourism Development', 'Economic Diversification', 120000.00); | What are the types of economic diversification projects in the 'economic_diversification' table? | SELECT DISTINCT type FROM economic_diversification WHERE type = 'Economic Diversification'; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_orbits (id INT, satellite_id VARCHAR(50), orbit_type VARCHAR(20), orbital_speed FLOAT); | What is the maximum orbital speed (in km/s) of all satellites in the Geostationary orbit? | SELECT MAX(orbital_speed) FROM satellite_orbits WHERE orbit_type = 'Geostationary'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Forwarders (id INT, name VARCHAR(255)); CREATE TABLE Shipments (id INT, forwarder_id INT, shipped_date DATE, delivered_date DATE, delay INT); | Find the total number of delayed shipments for each freight forwarder in the last month? | SELECT f.name, SUM(CASE WHEN s.delay > 0 THEN 1 ELSE 0 END) as total_delayed FROM Forwarders f JOIN Shipments s ON f.id = s.forwarder_id WHERE shipped_date >= DATEADD(month, -1, GETDATE()) GROUP BY f.id, f.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, state VARCHAR(20)); CREATE TABLE workout_data (id INT, user_id INT, date DATE, calories INT); | What is the total calories burned by users living in New York on Tuesdays? | SELECT SUM(calories) FROM workout_data w JOIN users u ON w.user_id = u.id WHERE u.state = 'New York' AND DAYOFWEEK(w.date) = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE ticket_sales (ticket_id INT, price DECIMAL(10,2), country VARCHAR(50), concert_date DATE); | Identify the top 3 countries with the highest concert ticket sales in Q2 of 2022, ordered by sales amount. | SELECT country, SUM(price) as total_sales FROM ticket_sales WHERE EXTRACT(MONTH FROM concert_date) BETWEEN 4 AND 6 GROUP BY country ORDER BY total_sales DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists ocean_shipping;CREATE TABLE if not exists ocean_shipping.cargo (id INT, cargo_type VARCHAR(255), arrived_at DATE); | Insert new cargo records for 'rare earth minerals' with IDs 300, 301, and 302, arrived at port on Jun 15, 2022, Jun 16, 2022, and Jun 17, 2022 respectively | INSERT INTO ocean_shipping.cargo (id, cargo_type, arrived_at) VALUES (300, 'rare earth minerals', '2022-06-15'), (301, 'rare earth minerals', '2022-06-16'), (302, 'rare earth minerals', '2022-06-17'); | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_ai (hotel TEXT, ai BOOLEAN); INSERT INTO hotel_ai (hotel, ai) VALUES ('Hotel Marrakech', true), ('Hotel Cairo', false), ('Hotel Capetown', true), ('Hotel Alexandria', false), ('Hotel Tunis', true); CREATE TABLE hotels_africa (hotel TEXT, region TEXT); INSERT INTO hotels_africa (hotel, region) VALUES ... | What is the percentage of hotels in 'Africa' that have adopted AI? | SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM hotels_africa)) AS percentage FROM hotel_ai WHERE ai = true AND region = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA PrecisionFarming; CREATE TABLE IoT_Sensors (sensor_id INT, sensor_name VARCHAR(50), measurement VARCHAR(50)); INSERT INTO PrecisionFarming.IoT_Sensors (sensor_id, sensor_name, measurement) VALUES (1, 'Sensor1', 'temperature'), (2, 'Sensor2', 'humidity'), (4, 'Sensor4', 'moisture'), (5, 'Sensor5', 'moistur... | List the number of IoT sensors in the 'PrecisionFarming' schema that have a 'moisture' or 'temperature' measurement. | SELECT COUNT(*) FROM PrecisionFarming.IoT_Sensors WHERE measurement = 'moisture' OR measurement = 'temperature'; | gretelai_synthetic_text_to_sql |
CREATE TABLE claim (claim_id INT, processed_by VARCHAR(50)); INSERT INTO claim VALUES (1, 'Laura Smith'); INSERT INTO claim VALUES (2, 'Maria Silva'); | Which claims were processed by the claims adjuster 'Maria Silva'? | SELECT claim_id FROM claim WHERE processed_by = 'Maria Silva'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ad_interactions (id INT, user_id INT, timestamp TIMESTAMP); | Insert new ad interactions for user with ID 1111 | INSERT INTO ad_interactions (user_id) VALUES (1111), (1111), (1111); | gretelai_synthetic_text_to_sql |
CREATE TABLE Album (AlbumID INT, AlbumName VARCHAR(50), ReleaseYear INT, ArtistID INT); CREATE TABLE Artist (ArtistID INT, ArtistName VARCHAR(50)); INSERT INTO Album (AlbumID, AlbumName, ReleaseYear, ArtistID) VALUES (1, 'Fearless', 2008, 1), (2, 'Red', 2012, 1), (3, 'Map of the Soul: Persona', 2019, 2), (4, 'BE', 2020... | What is the release year of the most recent album for each artist? | SELECT ArtistName, ReleaseYear, ROW_NUMBER() OVER (PARTITION BY ArtistID ORDER BY ReleaseYear DESC) AS Rank FROM Album JOIN Artist ON Album.ArtistID = Artist.ArtistID; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (country VARCHAR(255), amount INT, year INT); INSERT INTO production (country, amount, year) VALUES ('Myanmar', 5000, 2018); INSERT INTO production (country, amount, year) VALUES ('Myanmar', 5500, 2019); INSERT INTO production (country, amount, year) VALUES ('Myanmar', 6000, 2020); | How many tons of REEs were produced by Myanmar between 2018 and 2020? | SELECT SUM(amount) as total_production FROM production WHERE country = 'Myanmar' AND year BETWEEN 2018 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (company_id INT, department VARCHAR(20));CREATE TABLE workers (worker_id INT, company_id INT, salary DECIMAL(5,2), position VARCHAR(20)); | What is the average salary of workers in the 'mining' department across all companies? | SELECT AVG(salary) FROM workers w INNER JOIN companies c ON w.company_id = c.company_id WHERE department = 'mining'; | 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... | Identify players who have not participated in any tournament with a prize pool over 5 million. | SELECT Players.PlayerName, Players.Game FROM Players LEFT JOIN Tournaments ON Players.Game = Tournaments.Game WHERE Tournaments.PrizePool < 5000000 OR Tournaments.TournamentName IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_diplomacy (event_date DATE, region VARCHAR(255)); INSERT INTO defense_diplomacy (event_date, region) VALUES ('2020-01-01', 'Europe'), ('2021-01-01', 'Asia'), ('2020-06-01', 'Africa'); | Find the number of defense diplomacy events in each region | SELECT region, COUNT(*) as total_events FROM defense_diplomacy GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (name VARCHAR(255), depth FLOAT); INSERT INTO marine_protected_areas (name, depth) VALUES ('Galapagos Islands', 2000.0), ('Grand Bahama Bank', 800.0); | Update the depth of the 'Galapagos Islands' in the marine_protected_areas table to 1500 meters. | UPDATE marine_protected_areas SET depth = 1500 WHERE name = 'Galapagos Islands'; | gretelai_synthetic_text_to_sql |
CREATE TABLE causes (cause_id INT, name VARCHAR(255), category VARCHAR(255)); | List the 'Social Services' causes that received the most donations in H1 2022, along with their total donation amounts. | SELECT c.name, SUM(d.donation_amount) as total_donated FROM donations d JOIN causes c ON d.cause = c.name WHERE d.donation_date BETWEEN '2022-01-01' AND '2022-06-30' AND c.category = 'Social Services' GROUP BY c.name ORDER BY total_donated DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE DonorRegistry (donorID INT, donationDate DATE, donationAmount DECIMAL(10,2)); INSERT INTO DonorRegistry (donorID, donationDate, donationAmount) VALUES (1, '2022-03-02', 150.50), (2, '2022-03-15', 200.00), (3, '2022-03-27', 125.75); | What is the total donation amount received from all donors in the last month? | SELECT SUM(donationAmount) FROM DonorRegistry WHERE donationDate >= '2022-03-01' AND donationDate <= '2022-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Missions (MissionID INT, Name VARCHAR(50), LaunchDate DATETIME, CrewGender VARCHAR(10)); INSERT INTO Missions (MissionID, Name, LaunchDate, CrewGender) VALUES (1, 'Artemis I', '2022-08-29', 'Male'), (2, 'Artemis II', '2023-06-01', 'Mixed'), (3, 'Artemis III', '2024-08-10', 'Female'); | List all space missions that have had both male and female crew members. | SELECT Name FROM Missions WHERE CrewGender = 'Male' AND CrewGender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE student (id INT, name VARCHAR(255), department_id INT, research_area VARCHAR(255)); CREATE TABLE department (id INT, name VARCHAR(255), school VARCHAR(255)); | What is the distribution of graduate students by research area in the School of Medicine? | SELECT d.name, s.research_area, COUNT(s.id) as count FROM student s JOIN department d ON s.department_id = d.id WHERE d.school = 'School of Medicine' GROUP BY d.name, s.research_area; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_surface_temperatures (id INT, location TEXT, temperature FLOAT, region TEXT); | What is the minimum temperature recorded at ocean surface in the Southern Ocean? | SELECT MIN(temperature) FROM ocean_surface_temperatures WHERE region = 'Southern Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists humanitarian_aid (id INT, project_name VARCHAR(100), location VARCHAR(100), amount FLOAT, date DATE); INSERT INTO humanitarian_aid (id, project_name, location, amount, date) VALUES (1, 'Flood Relief', 'Pakistan', 5000000, '2010-07-01'); INSERT INTO humanitarian_aid (id, project_name, location... | What is the rank of the humanitarian aid projects in Nigeria based on their costs? | SELECT project_name, location, amount, RANK() OVER(ORDER BY amount DESC) as rank FROM humanitarian_aid WHERE location = 'Nigeria'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Astronauts (Name TEXT, Medical_Procedures TEXT); INSERT INTO Astronauts (Name, Medical_Procedures) VALUES ('John Glenn', 'Y'), ('Valentina Tereshkova', 'Y'), ('Neil Armstrong', 'checkup'); | Update astronaut records with medical procedure 'Y' to procedure 'Z' | WITH updated_procedures AS (UPDATE Astronauts SET Medical_Procedures = 'Z' WHERE Medical_Procedures = 'Y') SELECT * FROM updated_procedures; | gretelai_synthetic_text_to_sql |
CREATE TABLE natural_disasters (id INT, state VARCHAR(255), type VARCHAR(255), number_of_disasters INT); INSERT INTO natural_disasters (id, state, type, number_of_disasters) VALUES (1, 'Texas', 'Tornado', 30), (2, 'Texas', 'Flood', 40); | What is the most common type of natural disaster in Texas? | SELECT type, COUNT(*) AS count FROM natural_disasters WHERE state = 'Texas' GROUP BY type ORDER BY count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE cricket_league (game_id INT, team_name VARCHAR(50), coach_gender VARCHAR(10)); CREATE VIEW cricket_league_won AS SELECT game_id, team_name FROM cricket_league WHERE result = 'win'; | How many cricket games in the cricket_league table were won by teams that have a male coach? | SELECT COUNT(*) FROM cricket_league_won JOIN cricket_league ON cricket_league_won.team_name = cricket_league.team_name WHERE coach_gender = 'male'; | gretelai_synthetic_text_to_sql |
CREATE TABLE aquaculture_sites (site_id INT, region VARCHAR(50), farm_type VARCHAR(50), dissolved_oxygen FLOAT); INSERT INTO aquaculture_sites VALUES (1, 'Asia', 'Freshwater', 8.5), (2, 'Asia', 'Marine', 9.2), (3, 'Africa', 'Freshwater', 7.8), (4, 'Europe', 'Marine', 7.5); | What is the maximum dissolved oxygen level for aquaculture sites located in Asia, partitioned by farm type? | SELECT region, farm_type, MAX(dissolved_oxygen) AS max_dissolved_oxygen FROM aquaculture_sites WHERE region = 'Asia' GROUP BY region, farm_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (id INT, state VARCHAR(2), billing_amount DECIMAL(10,2)); INSERT INTO cases (id, state, billing_amount) VALUES (1, 'CA', 5000.00), (2, 'NY', 3000.00), (3, 'CA', 4000.00), (4, 'TX', 6000.00); | What is the total billing amount for cases in each state? | SELECT state, SUM(billing_amount) FROM cases GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE dispensaries (id INT, name TEXT, state TEXT);CREATE TABLE orders (id INT, dispensary_id INT, item_type TEXT, price DECIMAL, order_date DATE); | Which dispensaries in Washington have the highest total sales for concentrates this year? | SELECT d.name, SUM(o.price) as total_sales FROM dispensaries d INNER JOIN orders o ON d.id = o.dispensary_id WHERE d.state = 'Washington' AND o.item_type = 'concentrates' AND YEAR(o.order_date) = YEAR(CURRENT_DATE) GROUP BY d.name ORDER BY total_sales DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE impact_investments (id INT, country VARCHAR(255), amount FLOAT, strategy_id INT); | Insert a new record of impact investment in Kenya with an amount of 2500000 and strategy_id 3. | INSERT INTO impact_investments (id, country, amount, strategy_id) VALUES (1, 'Kenya', 2500000, 3); | gretelai_synthetic_text_to_sql |
CREATE TABLE production (production_id INT, material_id INT, quantity INT, country TEXT); CREATE TABLE materials (material_id INT, material_name TEXT, is_sustainable BOOLEAN); INSERT INTO production (production_id, material_id, quantity, country) VALUES (1, 1, 100, 'USA'), (2, 1, 200, 'USA'), (3, 2, 50, 'Canada'), (4, ... | What is the percentage of sustainable materials used in each country? | SELECT country, 100.0 * SUM(quantity) / (SELECT SUM(quantity) FROM production WHERE country = production.country) AS percentage FROM production JOIN materials ON production.material_id = materials.material_id WHERE is_sustainable = TRUE GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE loans_issued (loan_id INT, issue_date DATE, loan_type VARCHAR(20)); INSERT INTO loans_issued (loan_id, issue_date, loan_type) VALUES (101, '2022-01-01', 'Shariah-compliant personal loan'), (102, '2022-04-01', 'Socially responsible auto loan'), (103, '2022-07-01', 'Shariah-compliant mortgage'); | What is the total number of Shariah-compliant and socially responsible loans issued in each quarter? | SELECT DATE_FORMAT(issue_date, '%Y-%m') AS quarter, loan_type, COUNT(*) FROM loans_issued GROUP BY quarter, loan_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE SmartContracts (id INT, name VARCHAR(255), transaction_count INT, transaction_date DATE); INSERT INTO SmartContracts (id, name, transaction_count, transaction_date) VALUES (1, 'ContractA', 10, '2021-11-01'), (2, 'ContractB', 5, '2021-11-02'), (3, 'ContractC', 15, '2021-11-03'); | What is the maximum number of transactions per day for the smart contract with the id 2 in the month of November 2021? | SELECT MAX(transaction_count) FROM SmartContracts WHERE id = 2 AND transaction_date >= '2021-11-01' AND transaction_date < '2021-12-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales_data (state VARCHAR(50), year INT, vehicle_type VARCHAR(50), sales INT); | How many hybrid vehicles were sold in 'California' from '2020' to '2022' in the 'sales_data' table? | SELECT SUM(sales) FROM sales_data WHERE vehicle_type = 'hybrid' AND state = 'California' AND year BETWEEN 2020 AND 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT, name VARCHAR(50), department VARCHAR(50), country VARCHAR(50), hire_date DATE); INSERT INTO workers (id, name, department, country, hire_date) VALUES (1, 'John Doe', 'Human Resources', 'Canada', '2021-06-01'); | Delete records in the "workers" table where the "department" is "Human Resources" and the "country" is "Canada" from the past 6 months | DELETE FROM workers WHERE department = 'Human Resources' AND country = 'Canada' AND hire_date >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE player_scores (player_id INT, game_name VARCHAR(255), score INT, date DATE); | Delete records in the "player_scores" table where the score is below 500 | DELETE FROM player_scores WHERE score < 500; | gretelai_synthetic_text_to_sql |
CREATE TABLE animals (id INT PRIMARY KEY, name VARCHAR(50), species VARCHAR(50), population INT); CREATE TABLE habitats (id INT PRIMARY KEY, name VARCHAR(50), location VARCHAR(50), size FLOAT, animal_id INT); CREATE TABLE regions (id INT PRIMARY KEY, name VARCHAR(50)); | What is the total number of animals in habitats that are located in a specific region? | SELECT COUNT(DISTINCT animals.id) AS total_animals FROM animals INNER JOIN habitats ON animals.id = habitats.animal_id INNER JOIN regions ON habitats.location = regions.name WHERE regions.name = 'African Savannah'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_clinics (patient_id INT, age INT, gender VARCHAR(10), country VARCHAR(20)); CREATE TABLE rural_hospitals (patient_id INT, age INT, gender VARCHAR(10), admission_date DATE); | How many male patients are there in rural_hospitals and rural_clinics combined? | SELECT COUNT(*) FROM (SELECT patient_id FROM rural_clinics WHERE gender = 'Male' UNION ALL SELECT patient_id FROM rural_hospitals WHERE gender = 'Male') AS combined_male_patients; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sustainable_Projects (Project_ID INT, Labor_Hours INT, Region TEXT); INSERT INTO Sustainable_Projects (Project_ID, Labor_Hours, Region) VALUES (1, 5000, 'Northeast'), (2, 7000, 'Midwest'), (3, 6000, 'West'); CREATE TABLE Non_Sustainable_Projects (Project_ID INT, Labor_Hours INT, Region TEXT); INSERT INTO N... | What is the total number of construction labor hours worked on sustainable projects, and how many labor hours were spent on non-sustainable projects in the same region? | SELECT SUM(Sustainable_Projects.Labor_Hours) AS Sustainable_Labor_Hours, SUM(Non_Sustainable_Projects.Labor_Hours) AS Non_Sustainable_Labor_Hours FROM Sustainable_Projects, Non_Sustainable_Projects WHERE Sustainable_Projects.Region = Non_Sustainable_Projects.Region; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_tech_status (id INT, tech VARCHAR, status VARCHAR); INSERT INTO military_tech_status (id, tech, status) VALUES (1, 'Stealth Helicopter', 'Completed'), (2, 'AI-Powered Drone', 'In Progress'), (3, 'Electric Tank', 'Completed'); | Display the military technologies and their development status, and determine the percentage of completed technologies. | SELECT tech, status, COUNT(*) OVER () * 100.0 / SUM(CASE WHEN status = 'Completed' THEN 1.0 ELSE 0.0 END) OVER () as pct_completed FROM military_tech_status WHERE status = 'Completed'; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name VARCHAR(50), location VARCHAR(50), funding FLOAT); INSERT INTO startups (id, name, location, funding) VALUES (1, 'Genetech', 'California', 12000000); INSERT INTO startups (id, name, location, funding) VALUES (2, 'Zymergen', 'California', 25000000); | Which biotech startups have received funding over 10 million and are located in California? | SELECT name FROM startups WHERE funding > 10000000 AND location = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE agriculture_data (region VARCHAR(50), rainfall INT, record_date DATE); INSERT INTO agriculture_data VALUES ('Central America', 100, '2022-01-01'); INSERT INTO agriculture_data VALUES ('Central America', 120, '2022-02-01'); INSERT INTO agriculture_data VALUES ('South America', 150, '2022-01-01'); INSERT INT... | What is the average rainfall per month for each region in the 'agriculture_data' table? | SELECT region, EXTRACT(MONTH FROM record_date) AS month, AVG(rainfall) AS avg_rainfall FROM agriculture_data GROUP BY region, month; | gretelai_synthetic_text_to_sql |
CREATE TABLE accommodation (id INT, name TEXT, city TEXT, sustainable INT); INSERT INTO accommodation (id, name, city, sustainable) VALUES (1, 'Green Retreat', 'Sydney', 1); INSERT INTO accommodation (id, name, city, sustainable) VALUES (2, 'Eco Lodge', 'Melbourne', 1); INSERT INTO accommodation (id, name, city, sustai... | List all cities with more than 5 sustainable accommodations? | SELECT city, COUNT(*) as num_sustainable FROM accommodation WHERE sustainable = 1 GROUP BY city HAVING COUNT(*) > 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessel_performance (id INT, vessel_name VARCHAR(50), fuel_efficiency DECIMAL(3,2)); | Insert a new vessel with vessel_name 'Seacrest' and fuel_efficiency 5.2 into the vessel_performance table | INSERT INTO vessel_performance (vessel_name, fuel_efficiency) VALUES ('Seacrest', 5.2); | gretelai_synthetic_text_to_sql |
CREATE TABLE communities (id INT, name VARCHAR(255)); INSERT INTO communities (id, name) VALUES (1, 'Community1'), (2, 'Community2'); CREATE TABLE applications (id INT, name VARCHAR(255), community_id INT, sector VARCHAR(255), published_date DATE); INSERT INTO applications (id, name, community_id, sector, published_dat... | Which underrepresented communities have contributed to the development of creative AI applications for the entertainment sector in the past two years, in the Creative AI database? | SELECT communities.name FROM communities JOIN applications ON communities.id = applications.community_id WHERE sector = 'Entertainment' AND YEAR(published_date) >= YEAR(CURRENT_DATE()) - 2 AND communities.name IN ('Community1', 'Community2'); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (name VARCHAR(255), region VARCHAR(255), establishment_year INT); INSERT INTO marine_protected_areas (name, region, establishment_year) VALUES ('Azores Nature Park', 'Atlantic', 2011), ('Cape Verde Islands', 'Atlantic', 2014), ('Bermuda', 'Atlantic', 1966); | What is the total number of marine protected areas in the Atlantic region that were established after 2010? | SELECT COUNT(*) FROM marine_protected_areas WHERE region = 'Atlantic' AND establishment_year > 2010; | gretelai_synthetic_text_to_sql |
CREATE TABLE fire_departments (id INT, department_name VARCHAR(50), location VARCHAR(50), population INT, average_response_time FLOAT); | What is the average response time for fire departments in urban areas with a population greater than 500,000? | SELECT AVG(average_response_time) FROM fire_departments WHERE population > 500000 AND location = 'urban'; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversion_referrals (id INT, program_category TEXT, defendant_ethnicity TEXT, referral_date DATE); | How many individuals have been referred to diversion programs in the past month, broken down by the program category and the defendant's ethnicity? | SELECT program_category, defendant_ethnicity, COUNT(*) FROM diversion_referrals WHERE referral_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY program_category, defendant_ethnicity; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID int, DonorName varchar(50), DonationAmount decimal(10,2), CauseID int); CREATE TABLE Causes (CauseID int, CauseName varchar(50)); INSERT INTO Donors (DonorID, DonorName, DonationAmount, CauseID) VALUES (1, 'John Doe', 1000, 1), (2, 'Jane Smith', 2000, 2), (3, 'Mike Johnson', 3000, 3), (4, '... | What is the total amount donated to each cause? | SELECT c.CauseName, SUM(d.DonationAmount) as TotalDonationAmount FROM Donors d JOIN Causes c ON d.CauseID = c.CauseID GROUP BY c.CauseName; | gretelai_synthetic_text_to_sql |
CREATE TABLE flu_cases (case_id INT, reported_date DATE, state VARCHAR(255)); INSERT INTO flu_cases VALUES (1, '2021-12-01', 'Florida'); INSERT INTO flu_cases VALUES (2, '2021-12-03', 'Florida'); | What is the total number of flu cases reported in the last 30 days in Florida? | SELECT COUNT(*) FROM flu_cases WHERE state = 'Florida' AND reported_date >= CURDATE() - INTERVAL 30 DAY; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (year INT, element VARCHAR(10), quantity INT); INSERT INTO production (year, element, quantity) VALUES (2017, 'Lanthanum', 1500), (2018, 'Lanthanum', 1600), (2019, 'Lanthanum', 1700), (2020, 'Lanthanum', 1800); | What is the total production of Lanthanum in 2018 and 2019? | SELECT SUM(quantity) FROM production WHERE element = 'Lanthanum' AND year IN (2018, 2019); | gretelai_synthetic_text_to_sql |
CREATE TABLE program_donations (program VARCHAR(10), amount DECIMAL(10,2)); INSERT INTO program_donations (program, amount) VALUES ('ProgA', 5000.00), ('ProgA', 3000.00), ('ProgB', 7000.00); | What is the average amount of donations received by each program? | SELECT program, AVG(amount) FROM program_donations GROUP BY program; | gretelai_synthetic_text_to_sql |
CREATE TABLE RenewableEnergyInvestment (organization VARCHAR(50), year INT, investment FLOAT); INSERT INTO RenewableEnergyInvestment (organization, year, investment) VALUES ('Shell', 2010, 1500000), ('Shell', 2015, 2000000), ('BP', 2010, 1200000), ('BP', 2015, 1800000); | What is the total investment in renewable energy by each organization in Europe since 2010? | SELECT organization, SUM(investment) as 'Total Investment in Renewable Energy' FROM RenewableEnergyInvestment WHERE year >= 2010 AND continent = 'Europe' GROUP BY organization; | gretelai_synthetic_text_to_sql |
CREATE TABLE Members (MemberID INT, Age INT, Gender VARCHAR(10), MembershipType VARCHAR(20), Country VARCHAR(50)); INSERT INTO Members (MemberID, Age, Gender, MembershipType, Country) VALUES (1, 35, 'Female', 'Premium', 'Japan'), (2, 45, 'Male', 'Basic', 'Canada'), (3, 28, 'Female', 'Premium', 'USA'), (4, 32, 'Male', '... | What is the maximum duration of a Pilates class attended by a member from Japan? | SELECT MAX(Duration) FROM Members JOIN ClassAttendance ON Members.MemberID = ClassAttendance.MemberID WHERE Members.Country = 'Japan' AND Class = 'Pilates'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, billing_date DATE, billing_amount DECIMAL(10, 2)); INSERT INTO cases (case_id, billing_date, billing_amount) VALUES (1, '2021-01-01', 5000.00), (2, '2021-02-01', 7000.00), (3, '2021-03-01', 3000.00); | What is the total billing amount for cases in the last 3 months? | SELECT SUM(billing_amount) FROM cases WHERE billing_date >= (CURRENT_DATE - INTERVAL '3 months'); | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, customer_type VARCHAR(20)); INSERT INTO customers (customer_id, customer_type) VALUES (1, 'Retail'), (2, 'Wholesale'), (3, 'Institutional'); CREATE TABLE transactions (transaction_date DATE, customer_id INT, transaction_value DECIMAL(10, 2)); INSERT INTO transactions (transactio... | What is the number of transactions per day for the past week for customers in the 'Retail' customer type? | SELECT transactions.transaction_date, COUNT(transactions.transaction_id) as number_of_transactions FROM transactions JOIN customers ON transactions.customer_id = customers.customer_id WHERE transactions.transaction_date >= DATE_SUB(CURDATE(), INTERVAL 7 DAY) AND customers.customer_type = 'Retail' GROUP BY transactions.... | gretelai_synthetic_text_to_sql |
CREATE TABLE FoodJustice (id INT, name VARCHAR(50), location VARCHAR(50), type VARCHAR(50)); INSERT INTO FoodJustice (id, name, location, type) VALUES (1, 'Fair Trade', 'North America', 'Food Justice'); | List the food justices in North America. | SELECT * FROM FoodJustice WHERE location = 'North America' AND type = 'Food Justice'; | gretelai_synthetic_text_to_sql |
CREATE TABLE FishSpecies (SpeciesID int, SpeciesName varchar(50), WaterTemp float); INSERT INTO FishSpecies (SpeciesID, SpeciesName, WaterTemp) VALUES (1, 'Salmon', 12.5), (2, 'Tuna', 15.2), (3, 'Cod', 10.9); | What is the maximum water temperature recorded for each fish species? | SELECT SpeciesName, MAX(WaterTemp) as MaxTemp FROM FishSpecies GROUP BY SpeciesName; | gretelai_synthetic_text_to_sql |
CREATE TABLE CybersecurityImpact (id INT, impact_level TEXT); INSERT INTO CybersecurityImpact (id, impact_level) VALUES (1, 'High'), (2, 'Medium'), (3, 'Low'); CREATE TABLE CybersecurityIncidentsByYear (id INT, year INT, impact_id INT); INSERT INTO CybersecurityIncidentsByYear (id, year, impact_id) VALUES (1, 2021, 1),... | What is the total number of cybersecurity incidents reported worldwide each year for the last 3 years and their respective impact levels? | SELECT YEAR(CybersecurityIncidentsByYear.year) as year, COUNT(CybersecurityIncidentsByYear.id) as total_incidents, AVG(CybersecurityImpact.impact_level) as avg_impact FROM CybersecurityIncidentsByYear INNER JOIN CybersecurityImpact ON CybersecurityIncidentsByYear.impact_id = CybersecurityImpact.id GROUP BY YEAR(Cyberse... | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (id INT, name VARCHAR, category VARCHAR, revenue INT); INSERT INTO Restaurants (id, name, category, revenue) VALUES (1, 'Bistro', 'French', 500000); INSERT INTO Restaurants (id, name, category, revenue) VALUES (2, 'Pizzeria', 'Italian', 600000); INSERT INTO Restaurants (id, name, category, reve... | Which restaurants have a revenue greater than $700,000? | SELECT name, revenue FROM Restaurants WHERE revenue > 700000; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT, project_name TEXT, region TEXT, budget DECIMAL, status TEXT); INSERT INTO projects (id, project_name, region, budget, status) VALUES (1, 'Typhoon Relief', 'Pacific', 100000.00, 'completed'), (2, 'Flood Recovery', 'Pacific', 150000.00, 'cancelled'), (3, 'Earthquake Assistance', 'Pacific', ... | What is the total budget for disaster response projects in the Pacific, excluding those that were cancelled? | SELECT SUM(budget) as total_budget FROM projects WHERE region = 'Pacific' AND status != 'cancelled'; | gretelai_synthetic_text_to_sql |
CREATE TABLE industrial_customers (customer_id INT, water_usage FLOAT, usage_date DATE); INSERT INTO industrial_customers (customer_id, water_usage, usage_date) VALUES (1, 500.3, '2022-02-01'), (2, 700.2, '2022-02-02'), (3, 0, '2022-02-03'); | Find the total water usage by industrial customers in the month of February 2022, excluding any customers with a water usage of 0. | SELECT SUM(water_usage) FROM industrial_customers WHERE usage_date BETWEEN '2022-02-01' AND '2022-02-28' AND water_usage > 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE site_safety (site_id INT, site_name TEXT, incident_date DATE, accident_type TEXT, accident_details TEXT); INSERT INTO site_safety (site_id, site_name, incident_date, accident_type, accident_details) VALUES (1, 'ABC Mine', '2021-03-15', 'Fire', 'Fire broke out in a mining tunnel'), (2, 'DEF Mine', '2021-02-... | How many accidents occurred at each mine site in H1 2021? | SELECT site_name, COUNT(*) as accidents_h1_2021 FROM site_safety WHERE incident_date BETWEEN '2021-01-01' AND '2021-06-30' GROUP BY site_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, has_mental_health_disorder BOOLEAN, last_visit_date DATE); CREATE TABLE community_health_workers_visits (patient_id INT, visit_date DATE); INSERT INTO patients (id, has_mental_health_disorder, last_visit_date) VALUES (1, true, '2022-02-20'), (2, false, '2022-03-05'), (3, true, '2022-03-10... | What is the percentage of patients with mental health disorders who have had a community health worker visit in the past month? | SELECT (COUNT(*) FILTER (WHERE patients.has_mental_health_disorder = true AND community_health_workers_visits.visit_date >= (CURRENT_DATE - INTERVAL '1 month'))) * 100.0 / (SELECT COUNT(*) FROM patients WHERE has_mental_health_disorder = true) as percentage; | gretelai_synthetic_text_to_sql |
CREATE TABLE travel_advisories (id INT, country VARCHAR, region VARCHAR, level INT); INSERT INTO travel_advisories (id, country, region, level) VALUES (1, 'Ukraine', 'Europe', 4); | Which countries in Europe have the highest travel advisory level? | SELECT country FROM travel_advisories WHERE region = 'Europe' AND level = (SELECT MAX(level) FROM travel_advisories WHERE region = 'Europe'); | gretelai_synthetic_text_to_sql |
CREATE TABLE fines (fine_id INT, violation_type VARCHAR(20), fine INT, collection_date DATE); INSERT INTO fines (fine_id, violation_type, fine, collection_date) VALUES (1, 'Speeding', 200, '2022-01-15'), (2, 'Parking', 50, '2022-01-17'), (3, 'Speeding', 100, '2022-01-18'); | What is the total fine collected, for each type of violation? | SELECT violation_type, SUM(fine) as total_fine FROM fines GROUP BY violation_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (VolunteerID INT, Name TEXT); CREATE TABLE VolunteerPrograms (VolunteerID INT, ProgramID INT); INSERT INTO Volunteers (VolunteerID, Name) VALUES (1, 'Alice'), (2, 'Bob'), (3, 'Charlie'); INSERT INTO VolunteerPrograms (VolunteerID, ProgramID) VALUES (1, 1), (2, 1), (3, 2); | How many volunteers are engaged in each program, based on the 'Volunteers' and 'VolunteerPrograms' tables? | SELECT VolunteerPrograms.ProgramID, COUNT(DISTINCT Volunteers.VolunteerID) as VolunteerCount FROM VolunteerPrograms INNER JOIN Volunteers ON VolunteerPrograms.VolunteerID = Volunteers.VolunteerID GROUP BY VolunteerPrograms.ProgramID; | gretelai_synthetic_text_to_sql |
CREATE TABLE incident_responses (id INT, incident_type VARCHAR(50), status VARCHAR(20), responded_by VARCHAR(100)); INSERT INTO incident_responses (id, incident_type, status, responded_by) VALUES (1, 'Phishing', 'Resolved', 'Security Analyst 1'), (2, 'Malware', 'In Progress', 'Security Analyst 2'), (3, 'Ransomware', 'R... | How many security incidents were resolved by 'Security Analyst 1' in the 'incident_responses' table? | SELECT COUNT(*) FROM incident_responses WHERE responded_by = 'Security Analyst 1' AND status = 'Resolved'; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups(id INT, name TEXT, industry TEXT, founding_year INT, founder_gender TEXT); INSERT INTO startups VALUES (1, 'StartupA', 'Healthcare', 2010, 'Female'); INSERT INTO startups VALUES (2, 'StartupB', 'Tech', 2015, 'Male'); | What is the average funding amount received by startups founded by women in the healthcare sector? | SELECT AVG(funding_amount) FROM investments JOIN startups ON investments.startup_id = startups.id WHERE startups.founder_gender = 'Female' AND startups.industry = 'Healthcare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_mammals (mammal_id INT, mammal_name VARCHAR(255), PRIMARY KEY(mammal_id)); INSERT INTO marine_mammals (mammal_id, mammal_name) VALUES (1, 'Blue Whale'), (2, 'Fin Whale'); CREATE TABLE conservation_status (status_id INT, mammal_id INT, status VARCHAR(255), PRIMARY KEY(status_id, mammal_id), FOREIGN K... | What are the names of all the whale species in the Antarctic Ocean and their conservation status? | SELECT marine_mammals.mammal_name, conservation_status.status FROM marine_mammals INNER JOIN conservation_status ON marine_mammals.mammal_id = conservation_status.mammal_id INNER JOIN ocean_distribution ON marine_mammals.mammal_id = ocean_distribution.mammal_id WHERE ocean_distribution.region = 'Antarctic Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE bus_maintenance (id INT, bus_name VARCHAR(255), maintenance_date DATE); INSERT INTO bus_maintenance (id, bus_name, maintenance_date) VALUES (1, 'Bus 101', '2022-01-05'), (2, 'Bus 102', '2022-01-10'); | What are the names of all the buses that have had maintenance work in the past month? | SELECT bus_name FROM bus_maintenance WHERE maintenance_date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists cities (city varchar(20)); INSERT INTO cities (city) VALUES ('melbourne'), ('rio de janeiro'); CREATE TABLE if not exists vehicle_counts (city varchar(20), vehicle_type varchar(20), count int); INSERT INTO vehicle_counts (city, vehicle_type, count) VALUES ('melbourne', 'electric', 1000), ('me... | What is the total number of electric and autonomous vehicles in 'melbourne' and 'rio de janeiro'? | SELECT city, SUM(count) as total_count FROM vehicle_counts WHERE (vehicle_type = 'electric' OR vehicle_type = 'autonomous') AND city IN ('melbourne', 'rio de janeiro') GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (id INT PRIMARY KEY, account_id INT, type VARCHAR(255), amount DECIMAL(10,2), date DATE, client_id INT); INSERT INTO transactions (id, account_id, type, amount, date, client_id) VALUES (1, 1, 'Deposit', 2000.00, '2021-01-01', 1001), (2, 2, 'Withdrawal', 1500.00, '2021-02-10', 1002), (3, 3, 'Tr... | Calculate the total amount of transactions made in 'Los Angeles' in the month of March. | SELECT SUM(amount) FROM transactions WHERE date BETWEEN '2021-03-01' AND '2021-03-31' AND client_id IN (SELECT id FROM clients WHERE city = 'Los Angeles'); | gretelai_synthetic_text_to_sql |
CREATE TABLE deep_sea_expeditions (country TEXT, year INT); INSERT INTO deep_sea_expeditions (country, year) VALUES ('USA', 2010), ('USA', 2012), ('France', 2011), ('Japan', 2015), ('China', 2018), ('Germany', 2016), ('Spain', 2017), ('Canada', 2019), ('UK', 2013), ('Australia', 2014); | How many deep-sea expeditions have been conducted in each country? | SELECT country, COUNT(*) FROM deep_sea_expeditions GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (id INT, dispensary TEXT, product TEXT, quantity INT, price DECIMAL); INSERT INTO sales (id, dispensary, product, quantity, price) VALUES (1, 'Rainbow Dispensary', 'Gorilla Glue', 4, 55.99); | Insert new sales data for 'Sunshine Dispensary' | INSERT INTO sales (id, dispensary, product, quantity, price) VALUES (2, 'Sunshine Dispensary', 'Blue Dream', 7, 42.00); | gretelai_synthetic_text_to_sql |
CREATE TABLE public_schools (id INT, name TEXT, location TEXT, num_students INT, avg_teacher_age FLOAT); INSERT INTO public_schools (id, name, location, num_students, avg_teacher_age) VALUES (1, 'School 1', 'NC', 500, 45.3), (2, 'School 2', 'NC', 600, 43.2), (3, 'School 3', 'NC', 700, 47.1); | Update the average teacher age for public schools in a state to be the average of all schools in that state. | UPDATE public_schools SET avg_teacher_age = (SELECT AVG(avg_teacher_age) FROM public_schools AS s WHERE public_schools.location = s.location) WHERE TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE artist (id INT PRIMARY KEY, name VARCHAR(255), country VARCHAR(255)); CREATE TABLE album (id INT PRIMARY KEY, title VARCHAR(255), year INT, artist_id INT, FOREIGN KEY (artist_id) REFERENCES artist(id)); INSERT INTO artist (id, name, country) VALUES (1, 'ArtistA', 'USA'), (2, 'ArtistB', 'USA'), (3, 'ArtistC... | Who are the top 3 music artists by number of albums in the US? | SELECT a.name, COUNT(al.id) AS albums_count FROM artist a JOIN album al ON a.id = al.artist_id GROUP BY a.id ORDER BY albums_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name TEXT, country TEXT, amount_donated DECIMAL(10,2)); INSERT INTO donors (id, name, country, amount_donated) VALUES (1, 'Alice', 'USA', 5000.00), (2, 'Bob', 'Canada', 3000.00), (3, 'Charlie', 'USA', 7000.00), (4, 'David', 'UK', 8000.00), (5, 'Eve', 'Germany', 9000.00); | List the names and countries of donors who have donated more than $5000, but less than $10000. | SELECT name, country FROM donors WHERE amount_donated > 5000.00 AND amount_donated < 10000.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE ships (id INT, name VARCHAR(255), capacity INT); INSERT INTO ships (id, name, capacity) VALUES (1, 'Acme1', 5000), (2, 'Acme2', 7000); | Update the capacity of all cargo ships owned by Acme Corp by 10% | UPDATE ships SET capacity = capacity * 1.1 WHERE name LIKE 'Acme%'; | gretelai_synthetic_text_to_sql |
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