context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE company (id INT, name VARCHAR(255)); INSERT INTO company (id, name) VALUES (1, 'MaritimeCorp'); CREATE TABLE port (id INT, name VARCHAR(255)); CREATE TABLE cargo (id INT, port_id INT, company_id INT, weight INT, year INT); INSERT INTO port (id, name) VALUES (1, 'PortA'), (2, 'PortB'), (3, 'PortC'); INSERT ... | List the ports and their total cargo weight for company "MaritimeCorp" in 2017. | SELECT port.name, SUM(cargo.weight) FROM port INNER JOIN cargo ON port.id = cargo.port_id AND cargo.year = 2017 INNER JOIN company ON cargo.company_id = company.id WHERE company.name = 'MaritimeCorp' GROUP BY port.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkersCanada (WorkerID INT, Age INT, Gender VARCHAR(1), Province VARCHAR(2)); INSERT INTO CommunityHealthWorkersCanada (WorkerID, Age, Gender, Province) VALUES (1, 35, 'F', 'ON'), (2, 40, 'M', 'QC'); | Insert new records of 2 community health workers from 'NS' and 'NB' provinces in Canada. | INSERT INTO CommunityHealthWorkersCanada (WorkerID, Age, Gender, Province) VALUES ((SELECT MAX(WorkerID) FROM CommunityHealthWorkersCanada) + 1, 33, 'M', 'NS'), ((SELECT MAX(WorkerID) FROM CommunityHealthWorkersCanada) + 2, 47, 'F', 'NB'); | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, therapy_sessions INT, treatment_outcome VARCHAR(10)); INSERT INTO patients (patient_id, therapy_sessions, treatment_outcome) VALUES (1, 10, 'positive'), (2, 5, 'negative'), (3, 8, 'positive'); | What is the average number of therapy sessions attended by patients who experienced positive outcomes? | SELECT AVG(therapy_sessions) FROM patients WHERE treatment_outcome = 'positive'; | gretelai_synthetic_text_to_sql |
CREATE TABLE lawyers (id INT, state VARCHAR(255), name VARCHAR(255), cases_handled INT, cases_won INT); INSERT INTO lawyers (id, state, name, cases_handled, cases_won) VALUES (1, 'Texas', 'Smith', 50, 45), (2, 'Texas', 'Johnson', 75, 60), (3, 'California', 'Williams', 100, 80); | Who are the top 5 lawyers with the most number of cases won in the state of Texas? | SELECT name, cases_won FROM lawyers WHERE state = 'Texas' ORDER BY cases_won DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tourism (location TEXT, year INT, revenue INT); INSERT INTO virtual_tourism (location, year, revenue) VALUES ('Barcelona', 2022, 1500000), ('Barcelona', 2023, 1800000); | What is the virtual tourism revenue in Barcelona for 2022? | SELECT revenue FROM virtual_tourism WHERE location = 'Barcelona' AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE inclusive_housing (property_id INT, address VARCHAR(255), city VARCHAR(255), state VARCHAR(255), year_built INT, inclusive_features VARCHAR(255)); | Add a new record for a property with inclusive housing features in 'Seattle' built in 2018 to the 'inclusive_housing' table | INSERT INTO inclusive_housing (property_id, address, city, state, year_built, inclusive_features) VALUES (11123, '789 Inclusive Lane', 'Seattle', 'WA', 2018, 'wheelchair accessible, visual/hearing assistance'); | gretelai_synthetic_text_to_sql |
CREATE TABLE open_data_initiatives (id INT, sector VARCHAR(20), status VARCHAR(10)); INSERT INTO open_data_initiatives (id, sector, status) VALUES (1, 'education', 'open'), (2, 'health', 'open'), (3, 'transportation', 'closed'); | What is the total number of open data initiatives in the education and health sectors? | SELECT SUM(id) FROM open_data_initiatives WHERE sector IN ('education', 'health') AND status = 'open'; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_contracts (contract_id INT, name VARCHAR(20), language VARCHAR(20)); INSERT INTO smart_contracts (contract_id, name, language) VALUES (1, 'Crowdfund', 'Solidity'), (2, 'Voting', 'Vyper'), (3, 'Exchange', 'Rust'), (4, 'Insurance', 'LLL'); | Delete smart contract with contract_id 4 | DELETE FROM smart_contracts WHERE contract_id = 4; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (artwork_id INT, style VARCHAR(20), price DECIMAL(10,2)); INSERT INTO Artworks (artwork_id, style, price) VALUES (1, 'Impressionist', 1200.00), (2, 'Cubist', 1500.00), (3, 'Impressionist', 1800.00); | What is the average price of all paintings in the 'Impressionist' style? | SELECT AVG(price) FROM Artworks WHERE style = 'Impressionist'; | gretelai_synthetic_text_to_sql |
CREATE TABLE temperature_mexico (month INT, max_temperature DECIMAL(5,2)); INSERT INTO temperature_mexico VALUES (7, 32.5), (7, 33.1), (7, 32.8), (7, 31.9), (7, 33.7); | What is the maximum temperature in Mexico in July for the past 5 years? | SELECT MAX(max_temperature) FROM temperature_mexico WHERE month = 7; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (ProgramID INT, ProgramName VARCHAR(50), TotalDonations DECIMAL(10,2)); CREATE TABLE Outcomes (ProgramID INT, ProgramOutcome VARCHAR(20)); INSERT INTO Programs (ProgramID, ProgramName, TotalDonations) VALUES (1, 'Feeding America', 15000.00), (2, 'Education for All', 5000.00), (3, 'Feeding America'... | List the programs with the highest total donations and their respective outcomes? | SELECT Programs.ProgramName, ProgramOutcome, TotalDonations FROM Programs INNER JOIN Outcomes ON Programs.ProgramID = Outcomes.ProgramID WHERE Programs.TotalDonations IN (SELECT MAX(TotalDonations) FROM Programs); | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy_projects (project_id INT, project_name VARCHAR(50), region VARCHAR(50), start_year INT, end_year INT, project_status VARCHAR(20)); INSERT INTO renewable_energy_projects (project_id, project_name, region, start_year, end_year, project_status) VALUES (1, 'Solar Power Plant', 'Latin America',... | Identify the number of renewable energy projects implemented in Latin America between 2015 and 2020, grouped by project status. | SELECT project_status, COUNT(project_id) FROM renewable_energy_projects WHERE region = 'Latin America' AND start_year BETWEEN 2015 AND 2020 GROUP BY project_status; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings.green_buildings_data (city VARCHAR(20), green_building BOOLEAN); CREATE TABLE carbon_offset.offset_initiatives (city VARCHAR(20), co2_reduction_tons INT); | Find the average CO2 emission reduction (in metric tons) per green building in the 'green_buildings' and 'carbon_offset' schemas. | SELECT AVG(co2_reduction_tons / (SELECT COUNT(*) FROM green_buildings.green_buildings_data WHERE green_building = TRUE)) AS avg_co2_reduction_per_green_building FROM carbon_offset.offset_initiatives WHERE green_building = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_equipment (id INT, equipment_name VARCHAR(50), equipment_type VARCHAR(50), region VARCHAR(50)); INSERT INTO military_equipment (id, equipment_name, equipment_type, region) VALUES (1, 'Helicopter A', 'Helicopter', 'Atlantic'), (2, 'Tank B', 'Tank', 'Pacific'); | Insert a new record into the military equipment table for a helicopter in the Atlantic region? | INSERT INTO military_equipment (id, equipment_name, equipment_type, region) VALUES (3, 'Helicopter C', 'Helicopter', 'Atlantic'); | gretelai_synthetic_text_to_sql |
CREATE TABLE conservation_initiatives(country VARCHAR(50), year INT, initiative_count INT, success_count INT); INSERT INTO conservation_initiatives(country, year, initiative_count, success_count) VALUES ('South Africa', 2020, 150, 120), ('South Africa', 2019, 140, 110), ('South Africa', 2018, 130, 105); | What is the percentage of water conservation initiatives implemented in South Africa that were successful? | SELECT (SUM(success_count) * 100.0 / SUM(initiative_count)) FROM conservation_initiatives WHERE country = 'South Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (id INT PRIMARY KEY, name VARCHAR(255), state VARCHAR(255)); INSERT INTO customers (id, name, state) VALUES (1, 'Customer A', 'CA'), (2, 'Customer B', 'NY'), (3, 'Customer C', 'TX'), (4, 'Customer D', 'FL'); CREATE TABLE orders (id INT PRIMARY KEY, customer_id INT, product_id INT, FOREIGN KEY (cu... | List all customers who have purchased products with a sustainability score of 90 or higher? | SELECT DISTINCT c.name FROM customers c INNER JOIN orders o ON c.id = o.customer_id INNER JOIN products p ON o.product_id = p.id WHERE p.sustainability_score >= 90; | gretelai_synthetic_text_to_sql |
CREATE TABLE us_vessels (id INT, port VARCHAR(20), visit_date DATE); INSERT INTO us_vessels (id, port, visit_date) VALUES (1, 'Los Angeles', '2021-07-01'); INSERT INTO us_vessels (id, port, visit_date) VALUES (2, 'New York', '2021-07-10'); | How many vessels visited the ports in the United States in July 2021? | SELECT COUNT(*) FROM us_vessels WHERE visit_date >= '2021-07-01' AND visit_date < '2021-08-01' AND port IN ('Los Angeles', 'New York', 'Seattle', 'Houston', 'Miami'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Supplies (supplier_id INTEGER, raw_material_code TEXT); INSERT INTO Supplies (supplier_id, raw_material_code) VALUES (123, 'M123'), (456, 'M234'), (789, 'M345'), (111, 'M456'), (123, 'M567'); CREATE TABLE Products (product_code TEXT, raw_material_code TEXT); INSERT INTO Products (product_code, raw_material... | Which suppliers provide raw materials for the production of products 'A101' and 'C567'? | SELECT DISTINCT s.supplier_id FROM Supplies s JOIN Products p ON s.raw_material_code = p.raw_material_code WHERE p.product_code = 'A101' OR p.product_code = 'C567'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ChargingStations (Country VARCHAR(50), Stations INT); INSERT INTO ChargingStations (Country, Stations) VALUES ('China', 180000), ('United States', 80000), ('Germany', 50000), ('Norway', 15000), ('Japan', 50000), ('France', 45000), ('Netherlands', 35000), ('Sweden', 20000), ('South Korea', 15000), ('United ... | What are the top 5 countries with the most electric vehicle charging stations? | SELECT Country, Stations FROM ChargingStations ORDER BY Stations DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE preparedness (id INT, city VARCHAR(255), preparedness_events INT, emergency_supplies INT, first_responder_training_hours INT); INSERT INTO preparedness (id, city, preparedness_events, emergency_supplies, first_responder_training_hours) VALUES (1, 'Toronto', 50, 200, 1000); INSERT INTO preparedness (id, cit... | Compare disaster preparedness metrics, including the number of community preparedness events, emergency supplies, and first responder training hours, between two cities in Canada. | SELECT p.city, AVG(p.preparedness_events) AS avg_preparedness_events, AVG(p.emergency_supplies) AS avg_emergency_supplies, AVG(p.first_responder_training_hours) AS avg_first_responder_training_hours FROM preparedness p WHERE p.city IN ('Toronto', 'Vancouver') GROUP BY p.city; | gretelai_synthetic_text_to_sql |
CREATE TABLE animal_sightings (id INT, species TEXT, sighting_date DATE); INSERT INTO animal_sightings (id, species, sighting_date) VALUES (1, 'Polar Bear', '2023-01-01'); INSERT INTO animal_sightings (id, species, sighting_date) VALUES (2, 'Arctic Fox', '2023-01-02'); CREATE TABLE plant_observations (id INT, species T... | List the unique species found in the 'animal_sightings', 'plant_observations', and 'fungi_findings' tables. | (SELECT species FROM animal_sightings) UNION (SELECT species FROM plant_observations) UNION (SELECT species FROM fungi_findings); | gretelai_synthetic_text_to_sql |
CREATE TABLE Languages (id INT, language VARCHAR(50), status VARCHAR(50), region VARCHAR(50)); INSERT INTO Languages (id, language, status, region) VALUES (1, 'Hawaiian', 'Vulnerable', 'Polynesia'); INSERT INTO Languages (id, language, status, region) VALUES (2, 'Samoan', 'Safe', 'Polynesia'); | Which languages have been preserved in Oceania? | SELECT Languages.language FROM Languages WHERE Languages.region = 'Polynesia' AND Languages.status = 'Safe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE consumers (id INT PRIMARY KEY, name VARCHAR(255), age INT, location VARCHAR(255), ethical_awareness INT); | Identify the top 3 locations with the highest ethical awareness score among consumers, along with their average age. | SELECT c.location, AVG(c.age) as avg_age, SUM(c.ethical_awareness) as total_awareness, RANK() OVER (PARTITION BY 1 ORDER BY total_awareness DESC) as rank FROM consumers c GROUP BY c.location HAVING rank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Projects (id INT, name VARCHAR(100), cost FLOAT, state VARCHAR(50)); INSERT INTO Projects (id, name, cost, state) VALUES (1, 'Highway 90 Expansion', 1200000000, 'New York'); | What is the maximum construction cost and corresponding project name for all public works projects in the state of New York? | SELECT name, MAX(cost) FROM Projects WHERE state = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name TEXT, founding_year INT, founder_gender TEXT, founder_race TEXT); INSERT INTO company (id, name, founding_year, founder_gender, founder_race) VALUES (1, 'Eco-Friendly Inc', 2020, 'female', 'Black'); INSERT INTO company (id, name, founding_year, founder_gender, founder_race) VALUES (2,... | What is the count of companies founded by Black women? | SELECT COUNT(*) FROM company WHERE founder_gender = 'female' AND founder_race = 'Black'; | gretelai_synthetic_text_to_sql |
CREATE TABLE parcel_delivery (route_id INT, start_location VARCHAR(255), end_location VARCHAR(255), distance INT); INSERT INTO parcel_delivery (route_id, start_location, end_location, distance) VALUES (1, 'New York', 'Los Angeles', 4000), (2, 'Chicago', 'Miami', 2500), (3, 'Toronto', 'Vancouver', 3500), (4, 'London', '... | What are the top 3 longest parcel_delivery routes by distance? | SELECT route_id, start_location, end_location, distance FROM parcel_delivery ORDER BY distance DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE researchers (id INT PRIMARY KEY, name VARCHAR(100), affiliation VARCHAR(100), community VARCHAR(100)); | Delete the record with id 2 from the "researchers" table | WITH del AS (DELETE FROM researchers WHERE id = 2 RETURNING id) SELECT id FROM del; | gretelai_synthetic_text_to_sql |
CREATE TABLE Members (id INT, name VARCHAR(50), membership VARCHAR(50)); INSERT INTO Members (id, name, membership) VALUES (1, 'Surae', 'Premium'), (2, 'Javier', 'Basic'), (3, 'Minh', 'Premium'), (4, 'Elena', 'Premium'); CREATE TABLE MemberDemographics (id INT, member_id INT, age INT, gender VARCHAR(50)); INSERT INTO M... | Show the membership demographics for members who have a 'Premium' membership type. | SELECT m.name, d.age, d.gender FROM Members m JOIN MemberDemographics d ON m.id = d.member_id WHERE m.membership = 'Premium'; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_personnel (id INT, base TEXT, region TEXT, personnel INT); INSERT INTO military_personnel (id, base, region, personnel) VALUES (1, 'Al Udeid Air Base', 'Middle East', 11000), (2, 'Incirlik Air Base', 'Middle East', 5000), (3, 'Ali Al Salem Air Base', 'Middle East', 3000); | What is the total number of military personnel in the 'Middle East' region? | SELECT SUM(personnel) FROM military_personnel WHERE region = 'Middle East'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Attorneys (AttorneyID int, Region varchar(50), BillingAmount decimal(5,2)); INSERT INTO Attorneys (AttorneyID, Region, BillingAmount) VALUES (1, 'California', 500.00), (2, 'New York', 400.00), (3, 'California', 300.00), (4, 'New York', 600.00); | What is the maximum billing amount for cases handled by attorneys from the 'California' region? | SELECT MAX(BillingAmount) FROM Attorneys WHERE Region = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE media_library (id INT, type VARCHAR(10), title VARCHAR(50), length FLOAT, source VARCHAR(50)); INSERT INTO media_library (id, type, title, length, source) VALUES (1, 'article', 'Sample Article 1', 5.5, 'BBC'); INSERT INTO media_library (id, type, title, length, source) VALUES (2, 'video', 'Sample Video 1',... | What are the total number of articles and videos in the 'media_library'? | SELECT COUNT(*) FROM media_library WHERE type IN ('article', 'video'); | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy_projects (project_id INT, name VARCHAR(100), capacity INT, technology VARCHAR(50)); INSERT INTO renewable_energy_projects (project_id, name, capacity, technology) VALUES (1, 'Wind Farm', 300, 'Wind'); | What is the total installed capacity of wind energy projects in Canada? | SELECT SUM(capacity) as total_capacity FROM renewable_energy_projects WHERE country = 'Canada' AND technology = 'Wind'; | gretelai_synthetic_text_to_sql |
CREATE TABLE healthcare_providers (provider_id INT, name TEXT, state TEXT); INSERT INTO healthcare_providers (provider_id, name, state) VALUES (1, 'Jane Smith', 'NY'); CREATE TABLE cultural_competency (provider_id INT, score INT, community TEXT); | List the cultural competency scores for healthcare providers serving underrepresented communities in NY and NJ. | SELECT h.name, c.score FROM healthcare_providers h INNER JOIN cultural_competency c ON h.provider_id = c.provider_id WHERE h.state IN ('NY', 'NJ') AND c.community IN ('Underrepresented'); | gretelai_synthetic_text_to_sql |
CREATE TABLE state (id INT, location TEXT, country TEXT); | Find the number of renewable energy projects in each state of the United States | SELECT state.location, COUNT(*) FROM state JOIN renewable_energy ON state.location = renewable_energy.location WHERE state.country = 'United States' GROUP BY state.location; | gretelai_synthetic_text_to_sql |
CREATE TABLE mineral_extraction (mine_id INT, country TEXT, quantity INT); INSERT INTO mineral_extraction (mine_id, country, quantity) VALUES (1, 'USA', 5000), (2, 'Canada', 6000), (3, 'Mexico', 4000); | What is the sum of mineral extraction for each country? | SELECT country, SUM(quantity) FROM mineral_extraction GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE private_lands.wildlife_habitat (species VARCHAR(255), score DECIMAL(5,2)); | List the tree species with their respective wildlife habitat scores in the private_lands schema, in descending order. | SELECT species, score FROM private_lands.wildlife_habitat ORDER BY score DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE tram_fares (region VARCHAR(10), fare DECIMAL(5,2)); INSERT INTO tram_fares (region, fare) VALUES ('east', 1.75), ('east', 2.00), ('west', 2.25), ('north', 1.50), ('south', 2.50); | What is the total fare collected from trams in the 'east' region? | SELECT SUM(fare) FROM tram_fares WHERE region = 'east'; | gretelai_synthetic_text_to_sql |
CREATE TABLE miami_community_policing (id INT, event_type TEXT, event_date DATE); INSERT INTO miami_community_policing (id, event_type, event_date) VALUES (1, 'Meeting', '2022-01-01'), (2, 'Workshop', '2022-02-01'), (3, 'Patrol', '2022-03-01');CREATE TABLE miami_community_policing_types (id INT, event_type TEXT); INSE... | What is the total number of community policing events in Miami? | SELECT COUNT(*) FROM miami_community_policing; | gretelai_synthetic_text_to_sql |
CREATE TABLE artist_awards (id INT, artist VARCHAR(100), country VARCHAR(100), awards_won INT); INSERT INTO artist_awards (id, artist, country, awards_won) VALUES (1, 'Artist10', 'UK', 10), (2, 'Artist11', 'USA', 15), (3, 'Artist12', 'Canada', 8); | What is the total number of awards won by artists from different countries? | SELECT country, SUM(awards_won) as total_awards_won FROM artist_awards GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE data_usage (subscriber_id INT, subscription_type VARCHAR(50), data_usage FLOAT, data_limit FLOAT); INSERT INTO data_usage (subscriber_id, subscription_type, data_usage, data_limit) VALUES (1, 'Mobile', 3.5, 2), (2, 'Broadband', 50, 40), (3, 'Mobile', 4.5, 3); | Calculate the percentage of mobile and broadband subscribers who have exceeded their data usage limits, and display the results in a format suitable for pivot tables. | SELECT subscription_type, ROUND(SUM(CASE WHEN data_usage > data_limit THEN 1 ELSE 0 END) * 100.0 / COUNT(*) , 2) as exceeded_limit_percentage FROM data_usage GROUP BY subscription_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE eu_ets_data (country TEXT, date DATE, price FLOAT); INSERT INTO eu_ets_data (country, date, price) VALUES ('Germany', '2022-01-01', 30.0), ('France', '2022-01-01', 28.0), ('Italy', '2022-01-01', 32.0); CREATE TABLE japan_ets_data (country TEXT, date DATE, price FLOAT); INSERT INTO japan_ets_data (country, ... | Which countries in the EU have a higher carbon price (€/tCO2) than Japan? | SELECT country FROM eu_ets_data WHERE price > (SELECT price FROM japan_ets_data); | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (ProgramID INT, ProgramName TEXT, City TEXT); CREATE TABLE Volunteers (VolunteerID INT, ProgramID INT, VolunteerName TEXT); | List the programs along with the number of volunteers for each program in the city of Los Angeles. | SELECT Programs.ProgramName, COUNT(Volunteers.ProgramID) AS NumberOfVolunteers FROM Programs INNER JOIN Volunteers ON Programs.ProgramID = Volunteers.ProgramID WHERE Programs.City = 'Los Angeles' GROUP BY Programs.ProgramName; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID INT PRIMARY KEY, EventName VARCHAR(255), Attendance INT); CREATE TABLE Audience (AudienceID INT PRIMARY KEY, Age INT, Gender VARCHAR(10), Occupation VARCHAR(255), EventID INT, FOREIGN KEY (EventID) REFERENCES Events(EventID)); INSERT INTO Events (EventID, EventName, Attendance) VALUES (1, '... | What is the gender breakdown of attendees for the 'Contemporary Art' event? | SELECT Audience.Gender, COUNT(*) AS Attendance FROM Audience INNER JOIN Events ON Audience.EventID = Events.EventID WHERE Events.EventName = 'Contemporary Art' GROUP BY Audience.Gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE solar_power_projects (id INT, name TEXT, state TEXT, investment_usd FLOAT); INSERT INTO solar_power_projects (id, name, state, investment_usd) VALUES (1, 'Solar Star', 'California', 2560.0); | Find the number of solar power projects in California, Texas, and New York with an investment over 100 million dollars. | SELECT COUNT(*) FROM solar_power_projects WHERE state IN ('California', 'Texas', 'New York') AND investment_usd > 100000000.0; | gretelai_synthetic_text_to_sql |
CREATE TABLE building_energy_efficiency_history (building_id INT, city VARCHAR(255), rating_year INT, rating FLOAT); INSERT INTO building_energy_efficiency_history (building_id, city, rating_year, rating) VALUES (1, 'City Y', 2019, 75), (2, 'City Y', 2019, 80), (3, 'City Y', 2020, 85), (4, 'City Y', 2020, 90), (5, 'Cit... | What is the trend in energy efficiency ratings for buildings in 'City Y' over the last 3 years? | SELECT rating_year, rating FROM building_energy_efficiency_history WHERE city = 'City Y'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Habitats (id INT, name VARCHAR(20)); INSERT INTO Habitats (id, name) VALUES (1, 'Habitat A'), (2, 'Habitat B'), (3, 'Habitat C'); CREATE TABLE Animals (id INT, name VARCHAR(20), habitat_id INT); INSERT INTO Animals (id, name, habitat_id) VALUES (1, 'Tiger', 1), (2, 'Elephant', 1), (3, 'Lion', 2), (4, 'Zebr... | What is the name of the habitat with the most animals? | SELECT h.name FROM Habitats h JOIN (SELECT habitat_id, COUNT(*) AS animal_count FROM Animals GROUP BY habitat_id ORDER BY animal_count DESC LIMIT 1) a ON h.id = a.habitat_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE emergency_incidents (id INT, incident_type VARCHAR(255), emergency_borough VARCHAR(255), response_time INT); INSERT INTO emergency_incidents (id, incident_type, emergency_borough, response_time) VALUES (1, 'Medical Emergency', 'Manhattan', 15); INSERT INTO emergency_incidents (id, incident_type, emergency_... | Find the total number of emergency incidents and associated response times, grouped by emergency type, in New York City's Manhattan borough. | SELECT e.incident_type, b.borough, COUNT(e.id) AS total_incidents, AVG(e.response_time) AS avg_response_time FROM emergency_incidents e INNER JOIN boroughs b ON e.emergency_borough = b.borough WHERE b.borough = 'Manhattan' GROUP BY e.incident_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Forests (id INT PRIMARY KEY, name VARCHAR(255), hectares DECIMAL(5,2), country VARCHAR(255)); INSERT INTO Forests (id, name, hectares, country) VALUES (1, 'Greenwood', 520.00, 'Canada'); CREATE TABLE Species (id INT PRIMARY KEY, name VARCHAR(255), common_name VARCHAR(255)); INSERT INTO Species (id, name, c... | List all the species and the number of forests they are present in for each country? | SELECT Species.name as species_name, Forests.country, COUNT(Species_Forests.forest_id) as num_forests FROM Species LEFT JOIN Species_Forests ON Species.id = Species_Forests.species_id LEFT JOIN Forests ON Species_Forests.forest_id = Forests.id GROUP BY Species.name, Forests.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (donor_id INT, donation_date DATE, amount DECIMAL(10,2), gender TEXT); INSERT INTO donations (donor_id, donation_date, amount, gender) VALUES (1, '2020-01-01', 1000.00, 'Male'), (2, '2020-02-01', 1500.00, 'Female'), (3, '2020-03-01', 2000.00, 'Non-binary'); | What was the average donation amount by gender in 2020? | SELECT gender, AVG(amount) as avg_donation_amount FROM donations WHERE YEAR(donation_date) = 2020 GROUP BY gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT PRIMARY KEY, name TEXT, department TEXT, role TEXT); CREATE TABLE workforce_development (id INT PRIMARY KEY, employee_id INT, training_completed TEXT, FOREIGN KEY (employee_id) REFERENCES employees(id)); | Which employees have not completed any training? | SELECT employees.name, employees.department, employees.role FROM employees LEFT JOIN workforce_development ON employees.id = workforce_development.employee_id WHERE workforce_development.training_completed IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE network_investments_2 (investment_id INT, amount FLOAT, region VARCHAR(20)); INSERT INTO network_investments_2 (investment_id, amount, region) VALUES (4, 75000.0, 'South'), (5, 80000.0, 'South'), (6, 70000.0, 'South'); | Add new network infrastructure investments for the South region. | INSERT INTO network_investments SELECT * FROM network_investments_2 WHERE region = 'South'; | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_impact_assessments (id INT PRIMARY KEY, chemical_id INT, year INT, co2_emissions FLOAT, waste_generated FLOAT); INSERT INTO environmental_impact_assessments (id, chemical_id, year, co2_emissions, waste_generated) VALUES (1, 1, 2020, 120.5, 25.3), (2, 2, 2020, 180.2, 34.6), (3, 3, 2020, 110.8,... | Insert new environmental impact assessment records for the given chemicals. | INSERT INTO environmental_impact_assessments (id, chemical_id, year, co2_emissions, waste_generated) VALUES (6, 6, 2020, 150.7, 31.2), (7, 7, 2020, 105.6, 20.5), (8, 8, 2020, 142.3, 29.8), (9, 9, 2020, 128.8, 27.9), (10, 10, 2020, 118.1, 25.6); | gretelai_synthetic_text_to_sql |
CREATE TABLE Publications (PublicationID INT PRIMARY KEY, Title VARCHAR(255), Author VARCHAR(255), Year INT, Type VARCHAR(255)); INSERT INTO Publications (PublicationID, Title, Author, Year, Type) VALUES (1, 'The Tomb of Tutankhamun', 'Howard Carter', 1923, 'Book'); | Insert data into the publications table | INSERT INTO Publications (PublicationID, Title, Author, Year, Type) VALUES (1, 'The Tomb of Tutankhamun', 'Howard Carter', 1923, 'Book'); | gretelai_synthetic_text_to_sql |
CREATE TABLE emissions_reduction (id INT, year INT, co2 INT, methane INT); | Delete records from the 'emissions_reduction' table where the value of 'co2' is equal to 0 | DELETE FROM emissions_reduction WHERE co2 = 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (article_id INT, author VARCHAR(50), title VARCHAR(100), category VARCHAR(50), word_count INT, publication_date DATE); | What is the total number of articles published in each category, broken down by the author who wrote the most articles in that category? | SELECT category, author, COUNT(article_id) AS articles_in_category FROM articles a1 WHERE (author, category) IN (SELECT author, category FROM (SELECT author, category, COUNT(article_id) AS article_count FROM articles GROUP BY author, category) a2 WHERE article_count = (SELECT MAX(article_count) FROM a2 WHERE a2.categor... | gretelai_synthetic_text_to_sql |
CREATE TABLE SpaceMissions (Id INT, Astronaut VARCHAR(20), Mission VARCHAR(20), Duration INT); INSERT INTO SpaceMissions VALUES (1, 'Astronaut1', 'Mars Rover', 300), (2, 'Astronaut2', 'Moon Rover', 250), (3, 'Astronaut3', 'Mars Rover', 400), (4, 'Astronaut4', 'Space Station', 500), (5, 'Astronaut5', 'Moon Rover', 200); | What is the maximum duration of space missions by astronaut? | SELECT Astronaut, MAX(Duration) as MaxDuration FROM SpaceMissions GROUP BY Astronaut; | gretelai_synthetic_text_to_sql |
CREATE TABLE Projects (id INT, name TEXT, type TEXT, material TEXT); INSERT INTO Projects (id, name, type, material) VALUES (1, 'Highway Construction', 'Road', 'Concrete'), (2, 'Dam Construction', 'Water', 'Steel'), (3, 'Bridge Construction', 'Road', 'Steel'); | Show the number of water and road type projects in the database, grouped by their construction material. | SELECT type, material, COUNT(*) FROM Projects WHERE type IN ('Water', 'Road') GROUP BY type, material | gretelai_synthetic_text_to_sql |
CREATE TABLE aircraft (id INT, model VARCHAR(50), maintenance_status VARCHAR(50)); INSERT INTO aircraft (id, model, maintenance_status) VALUES (1, 'F-16', 'under_maintenance'), (2, 'F-35', 'operational'), (3, 'A-10', 'under_maintenance'); | How many military aircraft are currently under maintenance? | SELECT COUNT(*) FROM aircraft WHERE maintenance_status = 'under_maintenance'; | gretelai_synthetic_text_to_sql |
CREATE TABLE EnvironmentalData (SiteName VARCHAR(50), Temperature DECIMAL(5,2), DateMeasured DATE); INSERT INTO EnvironmentalData (SiteName, Temperature, DateMeasured) VALUES ('Site A', 25.5, '2022-03-15'); | What is the average temperature at each mining site? | SELECT SiteName, AVG(Temperature) FROM EnvironmentalData GROUP BY SiteName; | gretelai_synthetic_text_to_sql |
CREATE TABLE refugees (id INT, country TEXT, year INT, num_refugees INT); INSERT INTO refugees | What was the average number of refugees helped per country in 2018? | SELECT AVG(num_refugees) FROM refugees WHERE year = 2018 GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE songs (id INT, title TEXT, release_year INT, genre TEXT); INSERT INTO songs (id, title, release_year, genre) VALUES (1, 'Song1', 2011, 'pop'), (2, 'Song2', 2009, 'rock'); | Count the number of songs in the 'pop' genre released after 2010. | SELECT COUNT(*) FROM songs WHERE release_year > 2010 AND genre = 'pop'; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (id INT, name VARCHAR(50), cases_handled INT, region VARCHAR(50), billable_rate DECIMAL(10,2)); INSERT INTO attorneys (id, name, cases_handled, region, billable_rate) VALUES (1, 'John Lee', 40, 'Northeast', 200.00); INSERT INTO attorneys (id, name, cases_handled, region, billable_rate) VALUES (2,... | Update the billable rate for an attorney | UPDATE attorneys SET billable_rate = 225.00 WHERE id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (id INT, name VARCHAR(255), genre VARCHAR(255)); CREATE TABLE albums (id INT, artist_id INT, title VARCHAR(255), release_year INT); INSERT INTO artists (id, name, genre) VALUES (1, 'Miles Davis', 'Jazz'), (2, 'John Coltrane', 'Jazz'), (3, 'Nina Simone', 'Jazz'); INSERT INTO albums (id, artist_id, t... | How many albums were released by jazz artists in 2010? | SELECT COUNT(*) FROM albums WHERE genre = 'Jazz' AND release_year = 2010; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_stats (id INT, user_id INT, posts INT, day DATE); INSERT INTO user_stats (id, user_id, posts, day) VALUES (1, 1, 5, '2022-03-28'), (2, 2, 3, '2022-03-29'), (3, 3, 7, '2022-03-30'); CREATE TABLE users (id INT, region VARCHAR(255)); INSERT INTO users (id, region) VALUES (1, 'Egypt'), (2, 'South Africa')... | What is the average number of posts per day by users in Africa? | SELECT AVG(posts) AS avg_posts_per_day, region FROM user_stats INNER JOIN users ON user_stats.user_id = users.id WHERE region LIKE 'Africa%' GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE patient (id INT, name TEXT, mental_health_score INT, ethnicity TEXT); INSERT INTO patient (id, name, mental_health_score, ethnicity) VALUES (1, 'John Doe', 60, 'Straight'), (2, 'Jane Smith', 70, 'LGBTQ+'), (3, 'Ana Garcia', 50, 'Latino'), (4, 'Sara Johnson', 85, 'African American'), (5, 'Hiroshi Tanaka', 9... | What is the average mental health score for patients, grouped by their ethnicity? | SELECT AVG(mental_health_score), ethnicity FROM patient GROUP BY ethnicity; | gretelai_synthetic_text_to_sql |
CREATE TABLE geopolitical_risk (project_name VARCHAR(255), risk_level VARCHAR(255)); INSERT INTO geopolitical_risk (project_name, risk_level) VALUES ('Project A', 'medium'), ('Project B', 'low'), ('Project D', 'medium'); | Update the geopolitical risk assessment of Project D to high. | UPDATE geopolitical_risk SET risk_level = 'high' WHERE project_name = 'Project D'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Universities (UniversityID INT PRIMARY KEY, UniversityName VARCHAR(50), NumberOfStudents INT, BudgetForDisabilityAccommodations DECIMAL(10,2), UniversityLocation VARCHAR(50)); | What is the average budget for disability accommodations per student with disabilities in universities located in the Asia-Pacific region? | SELECT AVG(BudgetForDisabilityAccommodations/NumberOfStudentsWithDisabilities) as AvgBudgetPerStudent FROM Universities WHERE UniversityLocation LIKE '%Asia-Pacific%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy (project_name VARCHAR(50), country VARCHAR(50), wind_capacity INT); INSERT INTO renewable_energy (project_name, country, wind_capacity) VALUES ('Project1', 'Germany', 5000), ('Project2', 'Germany', 12000), ('Project3', 'Germany', 8000); | What is the minimum installed capacity of wind turbines for all renewable energy projects in Germany? | SELECT MIN(wind_capacity) FROM renewable_energy WHERE country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID int, Name varchar(50), Gender varchar(10), Department varchar(50), HireDate date); INSERT INTO Employees (EmployeeID, Name, Gender, Department, HireDate) VALUES (1, 'John Doe', 'Male', 'Marketing', '2017-01-01'); INSERT INTO Employees (EmployeeID, Name, Gender, Department, HireDate) V... | How many female employees have been hired in the Marketing department since 2018? | SELECT COUNT(*) FROM Employees WHERE Gender = 'Female' AND Department = 'Marketing' AND YEAR(HireDate) >= 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE Dispensaries (DispensaryID INT, DispensaryName VARCHAR(50)); CREATE TABLE Strains (StrainID INT, StrainName VARCHAR(50)); CREATE TABLE Sales (SaleID INT, DispensaryID INT, StrainID INT, QuantitySold INT, SaleDate DATE); | Find the top 3 strains sold in each dispensary, ordered by total sales amount in descending order. | SELECT DispensaryID, StrainID, SUM(QuantitySold) AS TotalSales, ROW_NUMBER() OVER (PARTITION BY DispensaryID ORDER BY SUM(QuantitySold) DESC) AS Rank FROM Sales S JOIN Dispensaries D ON S.DispensaryID = D.DispensaryID JOIN Strains ST ON S.StrainID = ST.StrainID GROUP BY DispensaryID, StrainID; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_demographics (user_id INT, name VARCHAR(255), registration_date DATE, age INT); | What is the average age of registered users in the 'user_demographics' table? | SELECT AVG(age) as avg_age FROM user_demographics; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (id INT, name VARCHAR(255)); CREATE TABLE Menu (id INT, restaurant_id INT, item_name VARCHAR(255), price DECIMAL(5,2), vegetarian BOOLEAN); CREATE TABLE Sales (id INT, dish_name VARCHAR(255), revenue DECIMAL(5,2)); | What is the total revenue for dishes served at Restaurant A that are vegetarian? | SELECT SUM(revenue) FROM Sales s JOIN Menu m ON s.dish_name = m.item_name JOIN Restaurants r ON m.restaurant_id = r.id WHERE r.name = 'Restaurant A' AND m.vegetarian = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, name VARCHAR(50)); CREATE TABLE transactions (transaction_id INT, customer_id INT); INSERT INTO customers (customer_id, name) VALUES (1, 'John Doe'); INSERT INTO customers (customer_id, name) VALUES (2, 'Jane Smith'); INSERT INTO transactions (transaction_id, customer_id) VALUES... | Find the number of customers who made a transaction in the last month. | SELECT COUNT(DISTINCT customer_id) as num_customers FROM transactions WHERE transaction_date BETWEEN DATEADD(month, -1, GETDATE()) AND GETDATE(); | gretelai_synthetic_text_to_sql |
CREATE TABLE stores (store_id INT, store_name VARCHAR(50));CREATE TABLE inventory (product_id INT, product_name VARCHAR(50), quantity INT, store_id INT); | Find the total quantity of "organic apples" sold by each store | SELECT i.store_id, s.store_name, SUM(i.quantity) as total_quantity FROM inventory i JOIN stores s ON i.store_id = s.store_id WHERE i.product_name = 'organic apples' GROUP BY i.store_id, s.store_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE drought_data (id INT, region VARCHAR(30), area_size INT, drought_impact INT); INSERT INTO drought_data (id, region, area_size, drought_impact) VALUES (1, 'RegionA', 5000, 2500), (2, 'RegionB', 6000, 4000), (3, 'RegionC', 7000, 3000); | What is the percentage of drought-affected areas in each region? | SELECT region, (drought_impact * 100.0 / area_size) as drought_percentage FROM drought_data; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_disease_prevalence_2 (id INT, province TEXT, diabetes_prevalence DECIMAL(5,2), heart_disease_prevalence DECIMAL(5,2)); INSERT INTO rural_disease_prevalence_2 (id, province, diabetes_prevalence, heart_disease_prevalence) VALUES (1, 'Province1', 13.0, 7.5), (2, 'Province2', 14.8, 8.3); | What is the name of the province with the highest prevalence of diabetes in the "rural_disease_prevalence_2" table? | SELECT province FROM rural_disease_prevalence_2 WHERE diabetes_prevalence = (SELECT MAX(diabetes_prevalence) FROM rural_disease_prevalence_2); | gretelai_synthetic_text_to_sql |
CREATE TABLE InfrastructureProjects (id INT, project_name TEXT, location TEXT, investment FLOAT); INSERT INTO InfrastructureProjects (id, project_name, location, investment) VALUES (1, 'Road Construction Caribbean', 'Caribbean', 500000); INSERT INTO InfrastructureProjects (id, project_name, location, investment) VALUES... | Find the total investment in rural infrastructure projects in the Caribbean, excluding the Bahamas and Haiti. | SELECT SUM(investment) FROM InfrastructureProjects WHERE location NOT IN ('Bahamas', 'Haiti') AND location LIKE '%Caribbean%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (startup_id INT, startup_name VARCHAR(20), funding_date DATE, gender VARCHAR(6)); INSERT INTO startups (startup_id, startup_name, funding_date, gender) VALUES (1, 'BioWomen', '2021-01-01', 'Female'), (2, 'CellMed', '2020-05-15', 'Male'), (3, 'NanoBio', '2019-09-24', 'Male'); | What is the total funding received by women-led biotech startups in the last 3 years? | SELECT SUM(funding_amount) FROM startups JOIN (SELECT startup_id, SUM(funding_amount) as funding_amount FROM startups_funding WHERE funding_date >= DATEADD(year, -3, CURRENT_DATE()) GROUP BY startup_id) as sf ON startups.startup_id = sf.startup_id WHERE gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (VesselID int, VesselName varchar(50), VoyageID int, LoadCapacity int, CountryOfRegistry varchar(50)); INSERT INTO Vessels (VesselID, VesselName, VoyageID, LoadCapacity, CountryOfRegistry) VALUES (3, 'Marine Serpent', 103, 10000, 'Liberia'); INSERT INTO Vessels (VesselID, VesselName, VoyageID, Load... | Which vessels have the highest load capacity in their respective countries? | SELECT VesselName, LoadCapacity, RANK() OVER (PARTITION BY CountryOfRegistry ORDER BY LoadCapacity DESC) as Rank FROM Vessels WHERE LoadCapacity = (SELECT MAX(LoadCapacity) FROM Vessels v WHERE v.CountryOfRegistry = Vessels.CountryOfRegistry); | gretelai_synthetic_text_to_sql |
CREATE TABLE medical_professionals (professional_id INT, region VARCHAR(20), specialty VARCHAR(30), join_year INT); INSERT INTO medical_professionals (professional_id, region, specialty, join_year) VALUES (1, 'Rural', 'General Practitioner', 2016), (2, 'Urban', 'Cardiologist', 2017), (3, 'Rural', 'Pediatrician', 2018),... | How many medical professionals have joined rural healthcare facilities each year, categorized by their specialties, for the last 5 years? | SELECT s.specialty, COUNT(mp.professional_id), s.year FROM medical_professionals mp JOIN ( SELECT region, specialty, EXTRACT(YEAR FROM age(join_year, CURRENT_DATE)) AS year FROM medical_professionals WHERE region = 'Rural' GROUP BY region, specialty, year ORDER BY year DESC LIMIT 5 ) s ON mp.specialty = s.specialty GRO... | gretelai_synthetic_text_to_sql |
CREATE TABLE state_recycling_rates (state VARCHAR(20), year INT, material VARCHAR(20), recycling_rate FLOAT); INSERT INTO state_recycling_rates (state, year, material, recycling_rate) VALUES ('New York', 2022, 'Plastic', 0.3); | Identify the recycling rate for plastic waste in the state of New York for the year 2022. | SELECT recycling_rate FROM state_recycling_rates WHERE state = 'New York' AND year = 2022 AND material = 'Plastic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, country TEXT); INSERT INTO donors (id, country) VALUES (1, 'USA'), (2, 'Canada'), (3, 'Mexico'), (4, 'USA'), (5, 'Canada'); | List the top 3 countries with the highest number of donors? | SELECT country, COUNT(*) as num_donors FROM donors GROUP BY country ORDER BY num_donors DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (address VARCHAR(255), size INT, certification VARCHAR(50), city VARCHAR(100)); INSERT INTO green_buildings (address, size, certification, city) VALUES ('123 Main St', 5000, 'Gold', 'Anytown'), ('456 Elm St', 7000, 'Silver', 'Anytown'), ('789 Oak St', 6000, 'Gold', 'Othertown'), ('321 Pine ... | Show the number of green buildings in each city, ordered by the number of green buildings in descending order | SELECT city, COUNT(*) AS num_buildings FROM green_buildings GROUP BY city ORDER BY num_buildings DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE visitors (id INT, name VARCHAR(50), continent VARCHAR(50)); INSERT INTO visitors (id, name, continent) VALUES (1, 'Alice', 'North America'), (2, 'Bob', 'North America'), (3, 'Charlie', 'Europe'); | How many visitors came from each continent? | SELECT continent, COUNT(DISTINCT id) FROM visitors GROUP BY continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft (spacecraft_id INT, name VARCHAR(100), launch_date DATE); | Delete records of spacecraft that were never launched | DELETE FROM spacecraft WHERE spacecraft.launch_date IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE campaigns (id INT, name TEXT, state TEXT, success_rate DECIMAL); INSERT INTO campaigns (id, name, state, success_rate) VALUES (1, 'Campaign A', 'TX', 0.75), (2, 'Campaign B', 'NY', 0.85); | What is the success rate of the public awareness campaigns in Texas? | SELECT success_rate FROM campaigns WHERE state = 'TX'; | gretelai_synthetic_text_to_sql |
CREATE TABLE imports (id INT, country VARCHAR(50), Terbium_imported FLOAT, importer_id INT, datetime DATETIME); INSERT INTO imports (id, country, Terbium_imported, importer_id, datetime) VALUES (1, 'South Africa', 120.0, 500, '2018-01-01 10:00:00'), (2, 'Egypt', 90.0, 350, '2018-02-15 14:30:00'); | List the total quantity of Terbium imported to Africa in 2018 and the number of unique importers. | SELECT country, SUM(Terbium_imported) AS total_Terbium, COUNT(DISTINCT importer_id) AS unique_importers FROM imports WHERE YEAR(datetime) = 2018 AND Terbium_imported IS NOT NULL AND country LIKE 'Africa%' GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE EV_Data (Id INT, City VARCHAR(50), Speed INT, Month VARCHAR(10)); INSERT INTO EV_Data (Id, City, Speed, Month) VALUES (1, 'LosAngeles', 70, 'February'); INSERT INTO EV_Data (Id, City, Speed, Month) VALUES (2, 'SanFrancisco', 65, 'February'); | What was the maximum speed of electric vehicles in the city of Los Angeles in the month of February? | SELECT MAX(Speed) FROM EV_Data WHERE City = 'LosAngeles' AND Month = 'February' AND Type = 'Electric'; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu (dish_id INT, dish_name VARCHAR(255), dish_type VARCHAR(255)); INSERT INTO menu (dish_id, dish_name, dish_type) VALUES (1, 'Quinoa Salad', 'Vegetarian'), (2, 'Chicken Caesar Wrap', 'Non-Vegetarian'); | Find the total number of vegetarian and non-vegetarian dishes in the menu | SELECT SUM(CASE WHEN dish_type = 'Vegetarian' THEN 1 ELSE 0 END) AS vegetarian_count, SUM(CASE WHEN dish_type = 'Non-Vegetarian' THEN 1 ELSE 0 END) AS non_vegetarian_count FROM menu; | gretelai_synthetic_text_to_sql |
CREATE TABLE fares (id INT, user_id INT, pass_type VARCHAR(10), fare FLOAT, payment_date DATE); INSERT INTO fares (id, user_id, pass_type, fare, payment_date) VALUES (1, 1001, 'Monthly', 75.00, '2022-08-01'), (2, 1002, 'Daily', 5.00, '2022-08-01'), (3, 1003, 'Daily', 5.00, '2022-08-15'); | What is the total fare collected from daily pass users in the month of August 2022? | SELECT SUM(fare) FROM fares WHERE pass_type = 'Daily' AND EXTRACT(MONTH FROM payment_date) = 8; | gretelai_synthetic_text_to_sql |
CREATE TABLE fares (fare_id INT, route_id INT, fare DECIMAL(5,2), fare_date DATE); INSERT INTO fares (fare_id, route_id, fare, fare_date) VALUES (1, 1, 2.00, '2022-01-01'), (2, 2, 2.50, '2022-01-03'), (3, 3, 3.00, '2022-01-05'); | Calculate the total fare collected for the light rail in Los Angeles for the month of January 2022. | SELECT SUM(fare) FROM fares WHERE route_id IN (SELECT route_id FROM routes WHERE mode = 'Light Rail') AND EXTRACT(MONTH FROM fare_date) = 1 AND EXTRACT(YEAR FROM fare_date) = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE inventory (id INT, color VARCHAR(20), quantity INT); INSERT INTO inventory (id, color, quantity) VALUES (1, 'red', 25), (2, 'blue', 30), (3, 'green', 40); | What is the total quantity of each color in the 'inventory' table? | SELECT color, SUM(quantity) FROM inventory GROUP BY color; | gretelai_synthetic_text_to_sql |
CREATE TABLE safe_ai_algorithms (id INT, algorithm VARCHAR(25), evaluation_score FLOAT); INSERT INTO safe_ai_algorithms (id, algorithm, evaluation_score) VALUES (1, 'AlgorithmA', 0.92), (2, 'AlgorithmB', 0.95), (3, 'AlgorithmC', 0.88), (4, 'AlgorithmD', 0.98); | Show the top 3 safe AI algorithms based on their evaluation scores. | SELECT algorithm, evaluation_score FROM safe_ai_algorithms ORDER BY evaluation_score DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE football (id INT, team VARCHAR(50), league VARCHAR(50), season INT, games INT, wins INT); INSERT INTO football (id, team, league, season, games, wins) VALUES (1, 'Patriots', 'NFL', 2018, 16, 11); INSERT INTO football (id, team, league, season, games, wins) VALUES (2, 'Patriots', 'NFL', 2019, 16, 12); | What is the total number of games won by the New England Patriots in the NFL? | SELECT SUM(wins) FROM football WHERE team = 'Patriots' AND league = 'NFL'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_tools (tool_id INT, tool_name VARCHAR(50), region VARCHAR(50), rating FLOAT, launch_year INT); INSERT INTO ai_tools (tool_id, tool_name, region, rating, launch_year) VALUES (1, 'AITSG1', 'APAC', 4.3, 2021), (2, 'AITSG2', 'EMEA', 4.6, 2022), (3, 'AITSG3', 'AMER', 4.5, 2019); | What is the average rating of AI tools launched in APAC and EMEA after 2020? | SELECT region, AVG(rating) as avg_rating FROM ai_tools WHERE launch_year > 2020 AND region IN ('APAC', 'EMEA') GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE co2_emissions (mine_id INT, emission_date DATE, co2_amount INT); INSERT INTO co2_emissions (mine_id, emission_date, co2_amount) VALUES (1, '2021-01-01', 30000), (1, '2021-02-01', 32000), (1, '2021-03-01', 35000), (2, '2021-01-01', 28000), (2, '2021-02-01', 30000), (2, '2021-03-01', 33000), (3, '2021-01-01'... | What is the average monthly CO2 emission per mine? | SELECT AVG(co2_amount) AS avg_monthly_emission FROM co2_emissions GROUP BY mine_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE housing_affordability (property_id INT, region VARCHAR(255), affordability_index DECIMAL(5,2)); | Create a table named "housing_affordability" with columns "property_id", "region", and "affordability_index" | CREATE TABLE housing_affordability (property_id INT, region VARCHAR(255), affordability_index DECIMAL(5,2)); | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (exhibition_id INT, artwork_name VARCHAR(50), city VARCHAR(50)); INSERT INTO Exhibitions (exhibition_id, artwork_name, city) VALUES (1, 'The Weeping Woman', 'Paris'); INSERT INTO Exhibitions (exhibition_id, artwork_name, city) VALUES (2, 'Water Lilies', 'London'); INSERT INTO Exhibitions (exhib... | List the artworks displayed in exhibitions in London. | SELECT artwork_name FROM Exhibitions WHERE city = 'London'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Visitors (VisitorID INT, Age INT, Gender VARCHAR(20));CREATE TABLE Events (EventID INT, EventName VARCHAR(20), EventCategory VARCHAR(20));CREATE TABLE VisitorSpending (VisitorID INT, EventID INT, Spending INT); | What is the total spending by visitors who identify as 'Female' on events in the 'Music' category, and how many unique events have they attended? | SELECT SUM(VS.Spending) AS Total_Spending, COUNT(DISTINCT E.EventID) AS Num_Unique_Events FROM Visitors V INNER JOIN VisitorSpending VS ON V.VisitorID = VS.VisitorID INNER JOIN Events E ON VS.EventID = E.EventID WHERE V.Gender = 'Female' AND E.EventCategory = 'Music'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, registration_date DATE); INSERT INTO volunteers (volunteer_id, registration_date) VALUES (1, '2023-01-02'), (2, '2023-04-15'), (3, '2023-07-20'), (4, '2023-09-10'), (5, '2023-12-25'), (6, '2024-01-05'), (7, '2024-01-15'), (8, '2024-01-30'); | How many new volunteers registered in Q1 2024, compared to Q1 2023? | SELECT (SELECT COUNT(*) FROM volunteers WHERE EXTRACT(YEAR FROM registration_date) = 2024 AND EXTRACT(MONTH FROM registration_date) BETWEEN 1 AND 3) - (SELECT COUNT(*) FROM volunteers WHERE EXTRACT(YEAR FROM registration_date) = 2023 AND EXTRACT(MONTH FROM registration_date) BETWEEN 1 AND 3) AS net_new_volunteers; | gretelai_synthetic_text_to_sql |
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