context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE revenue (id INT, game VARCHAR(30), genre VARCHAR(20), revenue INT, country VARCHAR(20)); INSERT INTO revenue (id, game, genre, revenue, country) VALUES (1, 'Skyrim', 'RPG', 1000000, 'US'), (2, 'CS:GO', 'FPS', 500000, 'US'), (3, 'Half-Life: Alyx', 'VR', 2000000, 'US'); | What is the total revenue generated by each game genre in the US? | SELECT genre, SUM(revenue) AS total_revenue FROM revenue WHERE country = 'US' GROUP BY genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (ArtworkID INT, ExhibitionID INT, VisitorID INT); | What's the average number of artworks viewed per visitor in the 'Europe' region? | SELECT AVG(a.ArtworksViewed) FROM (SELECT v.VisitorID, COUNT(a.ArtworkID) ArtworksViewed FROM Artworks a JOIN Exhibitions e ON a.ExhibitionID = e.ExhibitionID JOIN Visitors v ON a.VisitorID = v.VisitorID JOIN Regions r ON v.Country = r.CountryName WHERE r.Region = 'Europe' GROUP BY v.VisitorID) a; | gretelai_synthetic_text_to_sql |
CREATE TABLE artist_streams (stream_id int, user_id int, track_id int, timestamp datetime, artist_id int); INSERT INTO artist_streams (stream_id, user_id, track_id, timestamp, artist_id) VALUES (1, 123, 345, '2022-01-01 10:00:00', 678); | What is the number of streams by hour for a specific artist in Germany? | SELECT DATE_FORMAT(timestamp, '%H') as hour, COUNT(*) as stream_count FROM artist_streams WHERE artist_id = 678 AND timestamp BETWEEN '2022-01-01' AND '2022-12-31' AND DATE_FORMAT(timestamp, '%Y-%m') = '2022-01' AND country = 'Germany' GROUP BY hour; | gretelai_synthetic_text_to_sql |
CREATE TABLE species_status (id INT, name VARCHAR(255), status VARCHAR(255)); INSERT INTO species_status (id, name, status) VALUES (1, 'Dolphin', 'Endangered'); INSERT INTO species_status (id, name, status) VALUES (2, 'Shark', 'Vulnerable'); INSERT INTO species_status (id, name, status) VALUES (3, 'Tuna', 'Endang... | Report the total number of marine species that are endangered | SELECT COUNT(*) FROM species_status WHERE status = 'Endangered'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, DonorGender TEXT, TotalDonation FLOAT); | What is the difference between the average donation amount for male and female donors in 2021? | SELECT AVG(CASE WHEN DonorGender = 'Male' THEN TotalDonation ELSE 0 END) as 'Average Donation Amount for Males', AVG(CASE WHEN DonorGender = 'Female' THEN TotalDonation ELSE 0 END) as 'Average Donation Amount for Females', AVG(CASE WHEN DonorGender IN ('Male', 'Female') THEN TotalDonation ELSE 0 END) as 'Average Donati... | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT, name VARCHAR(50)); CREATE TABLE crops_farmers (farmer_id INT, crop_id INT); CREATE TABLE crops (id INT, name VARCHAR(50)); INSERT INTO farmers (id, name) VALUES (1, 'John'), (2, 'Jane'), (3, 'Mary'); INSERT INTO crops (id, name) VALUES (1, 'Corn'), (2, 'Soybean'), (3, 'Wheat'); INSERT INTO... | What are the names of the farmers who have cultivated more than one type of crop? | SELECT f.name FROM farmers f JOIN crops_farmers cf ON f.id = cf.farmer_id JOIN crops c ON cf.crop_id = c.id GROUP BY f.name HAVING COUNT(DISTINCT c.name) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Indigenous_Communities (id INT, name VARCHAR(100), population INT, location VARCHAR(100), language VARCHAR(100)); INSERT INTO Indigenous_Communities (id, name, population, location, language) VALUES (1, 'Inuit', 15000, 'Greenland', 'Greenlandic'); INSERT INTO Indigenous_Communities (id, name, population, l... | What are the names and locations of indigenous communities in Greenland with a population over 10,000 that speak Greenlandic? | SELECT name, location FROM Indigenous_Communities WHERE population > 10000 AND language = 'Greenlandic' | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID int, ArtistName varchar(50), BirthYear int); CREATE TABLE Artworks (ArtworkID int, ArtistID int, ArtworkYear int, ArtworkTitle varchar(50)); | How many artworks were created by each artist in the 20th century? | SELECT Artists.ArtistName, COUNT(Artworks.ArtworkID) as TotalArtworks FROM Artists INNER JOIN Artworks ON Artists.ArtistID = Artworks.ArtistID WHERE Artworks.ArtworkYear BETWEEN 1900 AND 2000 GROUP BY Artists.ArtistName; | gretelai_synthetic_text_to_sql |
game_stats(player_id, game_id, score, date_played) | Find the total number of games played by each player | SELECT player_id, COUNT(DISTINCT game_id) as total_games_played FROM game_stats GROUP BY player_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (id INT, threat_actor VARCHAR(255), timestamp DATETIME); | Which threat actors have been involved in the most security incidents in the last month? | SELECT threat_actor, COUNT(*) as total_incidents FROM security_incidents WHERE timestamp >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY threat_actor ORDER BY total_incidents DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE crimes (id INT, district VARCHAR(20), type VARCHAR(20), date DATE); INSERT INTO crimes (id, district, type, date) VALUES (1, 'Downtown', 'Theft', '2022-01-02'); INSERT INTO crimes (id, district, type, date) VALUES (2, 'Uptown', 'Vandalism', '2022-01-03'); INSERT INTO crimes (id, district, type, date) VALUE... | What is the most common type of crime committed in the South district? | SELECT type, COUNT(*) AS count FROM crimes WHERE district = 'South' GROUP BY type ORDER BY count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE basketball_teams (team_name TEXT, athlete_name TEXT, athlete_age INTEGER); | What is the average age of athletes in the basketball_teams table? | SELECT AVG(athlete_age) FROM basketball_teams; | gretelai_synthetic_text_to_sql |
CREATE TABLE china_cerium (id INT, year INT, price DECIMAL); INSERT INTO china_cerium (id, year, price) VALUES (1, 2015, 150), (2, 2016, 160), (3, 2017, 170); | What is the minimum price of cerium produced in China in 2017? | SELECT MIN(price) FROM china_cerium WHERE year = 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE medical_supplies (id INT, delivery_id INT, destination_country VARCHAR(255), delivery_quantity INT, delivery_date DATE); INSERT INTO medical_supplies (id, delivery_id, destination_country, delivery_quantity, delivery_date) VALUES (1, 2001, 'Nigeria', 500, '2020-10-01'); INSERT INTO medical_supplies (id, de... | How many medical supplies were delivered to "Africa" in Q4 2020? | SELECT SUM(delivery_quantity) FROM medical_supplies WHERE destination_country = 'Africa' AND QUARTER(delivery_date) = 4 AND YEAR(delivery_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessel (vessel_id INT, vessel_name VARCHAR(20), vessel_type VARCHAR(10)); INSERT INTO vessel VALUES (1, 'V1', 'Bulk Carrier'), (2, 'V2', 'Container Ship'); CREATE TABLE incident (incident_id INT, vessel_id INT, incident_date DATE, incident_type VARCHAR(20)); INSERT INTO incident VALUES (1, 1, '2022-04-15',... | How many regulatory compliance incidents were reported for 'Container Ship' vessels in Q2 2022? | SELECT COUNT(*) FROM incident INNER JOIN vessel ON incident.vessel_id = vessel.vessel_id WHERE vessel.vessel_type = 'Container Ship' AND incident_date BETWEEN '2022-04-01' AND '2022-06-30' AND incident_type = 'Regulatory Compliance'; | gretelai_synthetic_text_to_sql |
CREATE TABLE socially_responsible_lending (id INT, country VARCHAR(50), loan_amount DECIMAL(10,2)); | What is the total loan amount for socially responsible lending in the Caribbean? | SELECT SUM(loan_amount) FROM socially_responsible_lending WHERE country LIKE 'Caribbean%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE shared_bikes (bike_id INT, availability_date DATE, availability_time TIME, availability_count INT); INSERT INTO shared_bikes (bike_id, availability_date, availability_time, availability_count) VALUES (1, '2022-01-01', '06:00:00', 100), (2, '2022-01-01', '12:00:00', 120), (3, '2022-01-01', '18:00:00', 90); | How many shared bikes were available in Berlin during each day in January 2022? | SELECT availability_date, COUNT(DISTINCT bike_id) AS bikes_available FROM shared_bikes WHERE availability_time BETWEEN '06:00:00' AND '23:59:59' GROUP BY availability_date | gretelai_synthetic_text_to_sql |
CREATE TABLE StatePopulation (State VARCHAR(100), Population INT, RuralPopulation INT); INSERT INTO StatePopulation (State, Population, RuralPopulation) VALUES ('Florida', 21674000, 2584000); | What is the total population of the state of Florida, and what is the percentage of the population that lives in rural areas? | SELECT (RuralPopulation / Population) * 100.0 AS RuralPercentage, Population FROM StatePopulation WHERE State = 'Florida'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels_region (vessel_id INT, vessel_name TEXT, region TEXT); INSERT INTO vessels_region VALUES (1, 'Vessel A', 'Americas'), (2, 'Vessel B', 'Asia Pacific'), (3, 'Vessel C', 'Americas'); CREATE TABLE cargo_region (vessel_id INT, cargo_quantity INT); INSERT INTO cargo_region VALUES (1, 1200), (2, 900), (3,... | What are the vessel names and their corresponding total cargo quantities for the Americas region? | SELECT vessels_region.vessel_name, SUM(cargo_region.cargo_quantity) FROM vessels_region INNER JOIN cargo_region ON vessels_region.vessel_id = cargo_region.vessel_id WHERE vessels_region.region = 'Americas' GROUP BY vessels_region.vessel_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name TEXT); CREATE TABLE exit_strategy (id INT, company_id INT, exit_date DATE, exit_type TEXT); | List all companies that have had an acquisition as an exit strategy and their corresponding exit date. | SELECT company.name, exit_strategy.exit_date FROM company JOIN exit_strategy ON company.id = exit_strategy.company_id WHERE exit_strategy.exit_type = 'Acquisition'; | gretelai_synthetic_text_to_sql |
CREATE TABLE animal_population (animal_id INT, animal_type VARCHAR(10), age INT); INSERT INTO animal_population (animal_id, animal_type, age) VALUES (1, 'cheetah', 8); INSERT INTO animal_population (animal_id, animal_type, age) VALUES (2, 'cheetah', 6); | What is the average age of all cheetahs in the 'animal_population' table? | SELECT AVG(age) FROM animal_population WHERE animal_type = 'cheetah'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryPersonnel (region VARCHAR(255), country VARCHAR(255), personnel INT); INSERT INTO MilitaryPersonnel (region, country, personnel) VALUES ('Africa', 'CountryA', 4000), ('Africa', 'CountryB', 6000), ('Africa', 'CountryC', 5000), ('Asia', 'CountryD', 3000), ('Asia', 'CountryE', 2000); | What is the minimum number of military personnel in the Asian region, excluding personnel from countries with more than 10000 personnel? | SELECT MIN(personnel) FROM MilitaryPersonnel WHERE region = 'Asia' HAVING SUM(personnel) < 10000; | gretelai_synthetic_text_to_sql |
CREATE TABLE telescopes (id INT, name VARCHAR(255), country VARCHAR(255), type VARCHAR(255), launch_date DATE); INSERT INTO telescopes (id, name, country, type, launch_date) VALUES (1, 'Hubble Space Telescope', 'USA', 'Optical', '1990-04-24'); INSERT INTO telescopes (id, name, country, type, launch_date) VALUES (2, 'Sp... | What are the names and launch dates of telescopes launched by Japan or India? | SELECT name, launch_date FROM telescopes WHERE country = 'Japan' OR country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE healthcare_providers (id INT, name VARCHAR(50), area_type VARCHAR(20)); | What is the total number of healthcare providers in urban and rural areas? | SELECT COUNT(*) FROM healthcare_providers WHERE area_type IN ('urban', 'rural'); | gretelai_synthetic_text_to_sql |
CREATE TABLE games (id INT, team_a TEXT, team_b TEXT, location TEXT, score_team_a INT, score_team_b INT); INSERT INTO games (id, team_a, team_b, location, score_team_a, score_team_b) VALUES (1, 'Team A', 'Team H', 'Home', 120, 130), (2, 'Team H', 'Team B', 'Away', 150, 120); | What was the highest scoring game for Team H in the 2017 season? | SELECT MAX(GREATEST(score_team_a, score_team_b)) FROM games WHERE team_a = 'Team H' OR team_b = 'Team H' AND year = 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (region VARCHAR(50), year INT, recycling_rate FLOAT); INSERT INTO recycling_rates (region, year, recycling_rate) VALUES ('South America', 2019, 0.45); | What is the total recycling rate for South America in the year 2019? | SELECT SUM(recycling_rate) FROM recycling_rates WHERE region = 'South America' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, program_id VARCHAR(20), hours INT); INSERT INTO volunteers (volunteer_id, program_id, hours) VALUES (1, 'Education', 50), (2, 'Health', 75), (3, 'Education', 100); | What is the maximum number of volunteer hours for a single volunteer in each program? | SELECT program_id, MAX(hours) AS max_hours FROM volunteers GROUP BY program_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Exhibitions (ExhibitionID INT, Exhibition VARCHAR(50)); INSERT INTO Exhibitions (ExhibitionID, Exhibition) VALUES (1, 'Photography'), (2, 'Sculpture'); CREATE TABLE Visitors (VisitorID INT, Age INT, ExhibitionID INT); INSERT INTO Visitors (VisitorID, Age, ExhibitionID) VALUES (1, 30, 1), (2, 45, 1), (3, 25... | What is the difference in age between the oldest and youngest visitor, partitioned by exhibition? | SELECT Exhibition, MAX(Age) - MIN(Age) AS AgeDifference FROM Visitors V JOIN Exhibitions E ON V.ExhibitionID = E.ExhibitionID GROUP BY Exhibition; | gretelai_synthetic_text_to_sql |
CREATE TABLE patents (id INT, title VARCHAR(50), technology VARCHAR(50), location VARCHAR(50)); INSERT INTO patents (id, title, technology, location) VALUES (1, 'BioSensor 1000', 'Biosensor', 'Germany'); | List all biosensor technology patents filed in Germany. | SELECT title FROM patents WHERE technology = 'Biosensor' AND location = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Cases (CaseID int, ClientID int, OpenDate date); INSERT INTO Cases (CaseID, ClientID, OpenDate) VALUES (1, 1, '2021-01-01'); CREATE TABLE Clients (ClientID int, State text); INSERT INTO Clients (ClientID, State) VALUES (1, 'California'); | How many cases were opened in each state in 2021? | SELECT Clients.State, COUNT(*) as NumCases FROM Cases INNER JOIN Clients ON Cases.ClientID = Clients.ClientID WHERE Cases.OpenDate BETWEEN '2021-01-01' AND '2021-12-31' GROUP BY Clients.State; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (id INT, name VARCHAR(50), age INT, state VARCHAR(2)); INSERT INTO community_health_workers (id, name, age, state) VALUES (1, 'John Doe', 45, 'Texas'), (2, 'Jane Smith', 35, 'California'), (3, 'Alice Johnson', 20, 'California'), (4, 'Bob Brown', 50, 'New York'); | What is the minimum age of community health workers in each state? | SELECT state, MIN(age) FROM community_health_workers GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, industry TEXT, founding_date DATE, founder_gender TEXT, founder_count INT);CREATE TABLE funds (id INT, company_id INT, amount INT, funding_round TEXT);CREATE TABLE company_funds (company_id INT, fund_id INT); | Determine the average funding amount for companies founded by a team that is at least 50% women in the e-commerce industry. | SELECT AVG(funds.amount) FROM funds INNER JOIN company_funds ON funds.id = company_funds.fund_id INNER JOIN companies ON company_funds.company_id = companies.id WHERE companies.industry = 'e-commerce' GROUP BY companies.id HAVING SUM(CASE WHEN companies.founder_gender = 'woman' THEN companies.founder_count ELSE 0 END) ... | gretelai_synthetic_text_to_sql |
CREATE TABLE employee_demographics(emp_id INT, dept_id INT, race VARCHAR(50)); INSERT INTO employee_demographics VALUES (1, 1, 'White'), (2, 1, 'Black'), (3, 2, 'Asian'), (4, 2, 'White'), (5, 3, 'Hispanic'); | Calculate the percentage of employees who are people of color, by department | SELECT d.dept_name, (COUNT(CASE WHEN e.race IN ('Black', 'Asian', 'Hispanic') THEN 1 END) / COUNT(e.emp_id)) * 100 as pct_employees_of_color FROM departments d JOIN employee_demographics e ON d.dept_id = e.dept_id GROUP BY d.dept_name; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech; CREATE TABLE if not exists biotech.patents (id INT, name VARCHAR(50), location VARCHAR(50), filed_date DATE, industry VARCHAR(50)); INSERT INTO biotech.patents (id, name, location, filed_date, industry) VALUES (1, 'PatentA', 'India', '2021-05-15', 'Bioprocess Engineering'), (2, 'Pat... | What is the average bioprocess engineering patent filing date, per country, in the past 5 years? | SELECT location, AVG(filed_date) as avg_filing_date FROM biotech.patents WHERE industry = 'Bioprocess Engineering' AND filed_date >= DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR) GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE Weather (field VARCHAR(50), date DATE, temperature FLOAT); INSERT INTO Weather (field, date, temperature) VALUES ('Field A', '2021-03-01', 15.2), ('Field A', '2021-03-02', 16.7), ('Field A', '2021-03-03', 14.5); | What is the average temperature in field A during March? | SELECT AVG(temperature) FROM Weather WHERE field = 'Field A' AND date BETWEEN '2021-03-01' AND '2021-03-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE anti_discrimination_training (id INT, worker_id INT, training_date DATE); INSERT INTO anti_discrimination_training (id, worker_id, training_date) VALUES (1, 789, '2021-04-01'), (2, 789, '2021-06-15'); CREATE TABLE community_health_workers (id INT, name VARCHAR(50), region VARCHAR(50)); INSERT INTO communit... | What is the percentage of community health workers in California who have received anti-discrimination training? | SELECT 100.0 * COUNT(DISTINCT anti_discrimination_training.worker_id) / COUNT(DISTINCT community_health_workers.id) FROM anti_discrimination_training RIGHT JOIN community_health_workers ON anti_discrimination_training.worker_id = community_health_workers.id WHERE community_health_workers.region = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (id INT, name VARCHAR); CREATE TABLE financial_donations (id INT, program_id INT, amount INT) | Show programs with donation amounts over $10,000, ordered by total donation | SELECT p.name, SUM(fd.amount) AS total_donation FROM programs p JOIN financial_donations fd ON p.id = fd.program_id GROUP BY p.id, p.name HAVING total_donation > 10000 ORDER BY total_donation DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity_quota (id INT PRIMARY KEY, region VARCHAR(255), gender VARCHAR(255), ethnicity VARCHAR(255), total_employees INT); | Create a table named 'diversity_quota' to store diversity metrics | CREATE TABLE diversity_quota (id INT PRIMARY KEY, region VARCHAR(255), gender VARCHAR(255), ethnicity VARCHAR(255), total_employees INT); | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (ArtistID INT PRIMARY KEY, ArtistName VARCHAR(100), Gender VARCHAR(50)); INSERT INTO Artists (ArtistID, ArtistName, Gender) VALUES (1, 'Alice Neel', 'Female'), (2, 'Francisco Goya', 'Male'), (3, 'Yayoi Kusama', 'Female'); CREATE TABLE Artworks (ArtworkID INT PRIMARY KEY, ArtworkName VARCHAR(100), Y... | What is the total number of artworks created by female artists? | SELECT COUNT(*) FROM Artworks INNER JOIN Artists ON Artworks.ArtistID = Artists.ArtistID WHERE Artists.Gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpaceMissions (id INT, name VARCHAR(255), launch_date DATE); INSERT INTO SpaceMissions (id, name, launch_date) VALUES (1, 'Mars Rover', '2020-07-30'), (2, 'Mars Habitat', '2022-03-01'); | What is the earliest launch date for a mission to Mars? | SELECT MIN(launch_date) FROM SpaceMissions WHERE name LIKE '%Mars%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (user_id INT, country VARCHAR(50), joined_date DATE);CREATE TABLE data_privacy_laws (country VARCHAR(50), privacy_level INT); INSERT INTO users (user_id, country, joined_date) VALUES (1, 'USA', '2023-02-15'), (2, 'Germany', '2023-02-27'); INSERT INTO data_privacy_laws (country, privacy_level) VALUES ... | How many new users joined from countries with stricter data privacy laws than the United States in the past month? | SELECT COUNT(user_id) FROM users JOIN data_privacy_laws ON users.country = data_privacy_laws.country WHERE data_privacy_laws.privacy_level > (SELECT privacy_level FROM data_privacy_laws WHERE country = 'USA') AND joined_date >= DATEADD(month, -1, CURRENT_DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE TrafficViolations (ID INT, District VARCHAR(20), Fine FLOAT); INSERT INTO TrafficViolations (ID, District, Fine) VALUES (1, 'District1', 100.0), (2, 'District2', 150.0), (3, 'District1', 120.0), (4, 'District3', 75.0); | What is the average fine for traffic violations in each district? | SELECT District, AVG(Fine) OVER (PARTITION BY District) AS AvgFine FROM TrafficViolations; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinical_trials (country TEXT, trial_status TEXT); INSERT INTO clinical_trials (country, trial_status) VALUES ('Canada', 'Completed'), ('Canada', 'Terminated'); | List all clinical trials that were conducted in Canada and have a status of 'Completed' or 'Terminated'. | SELECT * FROM clinical_trials WHERE country = 'Canada' AND trial_status IN ('Completed', 'Terminated'); | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists 'disease_data' (id INT, state TEXT, disease TEXT, prevalence INT, PRIMARY KEY(id)); | Get disease prevalence per state | SELECT state, AVG(prevalence) FROM 'disease_data' GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE departments (id INT, name VARCHAR(50), budget FLOAT); INSERT INTO departments (id, name, budget) VALUES (1, 'HR', 300000.00), (2, 'IT', 500000.00); CREATE TABLE employees (id INT, name VARCHAR(50), department VARCHAR(50), salary FLOAT); INSERT INTO employees (id, name, department, salary) VALUES (1, 'John ... | What is the total salary expense for the HR department? | SELECT SUM(e.salary) FROM employees e INNER JOIN departments d ON e.department = d.name WHERE d.name = 'HR'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Departments (DepartmentID INT, Name TEXT, Budget DECIMAL(10,2)); INSERT INTO Departments VALUES (1, 'Marketing', 50000.00), (2, 'Operations', 70000.00); | What is the average budget for each department in Q3 of 2021? | SELECT Name, AVG(Budget) FROM Departments WHERE QUARTER(Date) = 3 AND YEAR(Date) = 2021 GROUP BY Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (id INT, name TEXT, category TEXT, budget INT); INSERT INTO Programs (id, name, category, budget) VALUES (1, 'Dance Performance', 'Theater', 50000), (2, 'Film Festival', 'Music', 75000), (3, 'Photography Exhibition', 'Visual Arts', 100000); | Show the total amount of funding for programs in 'Theater' category, excluding programs with a budget over $50,000. | SELECT SUM(budget) FROM Programs WHERE category = 'Theater' AND budget <= 50000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Clients (ClientID INT, Name TEXT); INSERT INTO Clients VALUES (1, 'Thomas'), (2, 'Ramirez'), (3, 'Gonzalez'), (4, 'Clark'); CREATE TABLE Cases (CaseID INT, ClientID INT, Quarter TEXT); INSERT INTO Cases VALUES (1, 1, 'Q1'), (2, 2, 'Q2'), (3, 3, 'Q3'), (4, 1, 'Q4'), (5, 4, 'Q4'); | What are the names of clients who have had cases in both the first quarter and the fourth quarter? | SELECT c.Name FROM Clients c INNER JOIN Cases n ON c.ClientID = n.ClientID WHERE n.Quarter = 'Q1' INTERSECT SELECT c.Name FROM Clients c INNER JOIN Cases t ON c.ClientID = t.ClientID WHERE t.Quarter = 'Q4'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, nonprofit_id INT, donation_date DATE, amount DECIMAL(10, 2)); | Delete all donations made in January 2022 | DELETE FROM donations WHERE donation_date BETWEEN '2022-01-01' AND '2022-01-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping (id INT, country VARCHAR(50), num_operations INT); | What is the number of peacekeeping operations participated in by each country in the 'peacekeeping' table, excluding those with less than 3 operations, ordered by the number of operations in ascending order? | SELECT country, COUNT(*) as num_operations FROM peacekeeping GROUP BY country HAVING COUNT(*) >= 3 ORDER BY num_operations ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE regulatory_frameworks (framework_id INT, framework_name VARCHAR(50), framework_jurisdiction VARCHAR(50), enforcement_agency VARCHAR(50), implementation_year INT); | How many regulatory frameworks have been implemented in Africa per year? | CREATE VIEW africa_frameworks_per_year AS SELECT TO_CHAR(implementation_year, 'YYYY') AS implementation_year, COUNT(framework_id) AS frameworks_implemented FROM regulatory_frameworks WHERE framework_jurisdiction = 'Africa' GROUP BY implementation_year ORDER BY implementation_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id INT, name TEXT); INSERT INTO players (player_id, name) VALUES (1, 'Messi'), (2, 'Ronaldo'); CREATE TABLE penalties (penalty_id INT, player_id INT); INSERT INTO penalties (penalty_id, player_id) VALUES (1, 1), (2, 1), (3, 2); | Count the number of penalties taken by 'Messi' in all competitions. | SELECT COUNT(*) FROM penalties JOIN players ON penalties.player_id = players.player_id WHERE players.name = 'Messi'; | gretelai_synthetic_text_to_sql |
CREATE TABLE food_safety(inspection_id INT, inspector VARCHAR(255), restaurant VARCHAR(255), inspection_date DATE, result ENUM('Pass', 'Fail')); | Update the food safety records for the 'Sushi Bar' restaurant to 'Fail' for the 'Health Inspector' with ID 890. | UPDATE food_safety SET result = 'Fail' WHERE restaurant = 'Sushi Bar' AND inspector = '890'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Projects (id INT, name VARCHAR(30), region VARCHAR(20), negotiation_start_date DATE, negotiation_end_date DATE); | What is the average negotiation duration for defense projects in the Middle East? | SELECT AVG(DATEDIFF(negotiation_end_date, negotiation_start_date)) as avg_negotiation_duration FROM Projects WHERE region = 'Middle East'; | gretelai_synthetic_text_to_sql |
CREATE TABLE GameSales (GameID INT, GameType VARCHAR(10), SaleDate DATE); INSERT INTO GameSales (GameID, GameType, SaleDate) VALUES (1, 'Mobile', '2022-01-01'), (2, 'PC', '2022-01-02'); | What is the total number of games sold in the last month? | SELECT COUNT(*) FROM GameSales WHERE SaleDate >= DATE_SUB(CURDATE(), INTERVAL 1 MONTH) | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_research (research_id INT, area VARCHAR(50), region VARCHAR(20)); INSERT INTO ai_research (research_id, area, region) VALUES (1, 'computer vision', 'South America'), (2, 'natural language processing', 'South America'), (3, 'machine learning', 'North America'), (4, 'reinforcement learning', 'Europe'); | What is the distribution of AI research areas in South America? | SELECT area, COUNT(*) as frequency FROM ai_research WHERE region = 'South America' GROUP BY area; | gretelai_synthetic_text_to_sql |
CREATE TABLE crop_moisture (crop_type TEXT, measurement_date DATE, soil_moisture INT); INSERT INTO crop_moisture (crop_type, measurement_date, soil_moisture) VALUES ('Corn', '2022-06-01', 650), ('Soybeans', '2022-06-01', 700), ('Wheat', '2022-06-01', 550); | What are the average soil moisture levels for each crop type in the month of June? | SELECT crop_type, AVG(soil_moisture) FROM crop_moisture WHERE measurement_date BETWEEN '2022-06-01' AND '2022-06-30' GROUP BY crop_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE games_v2 (game_id INT, game_name VARCHAR(50), playtime INT); INSERT INTO games_v2 (game_id, game_name, playtime) VALUES (4, 'GameD', 4000), (5, 'GameE', 5000); | What is the total playtime for each game in the 'games_v2' table? | SELECT game_name, SUM(playtime) FROM games_v2 GROUP BY game_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Faculty_Members (Faculty_ID INT, First_Name VARCHAR(50), Last_Name VARCHAR(50), Title VARCHAR(20), Department VARCHAR(50), Hire_Date DATE, Salary DECIMAL(10, 2)); | Delete records in the 'Faculty_Members' table where the 'Title' is 'Visiting Scholar' and 'Hire_Date' is before '2018-01-01 | DELETE FROM Faculty_Members WHERE Title = 'Visiting Scholar' AND Hire_Date < '2018-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tour (tour_id INT, name TEXT, city TEXT, length INT); INSERT INTO virtual_tour (tour_id, name, city, length) VALUES (3, 'NYC Skyline', 'New York City', 45); | Delete virtual tours in New York City with a length less than 30 minutes. | DELETE FROM virtual_tour WHERE city = 'New York City' AND length < 30; | gretelai_synthetic_text_to_sql |
CREATE TABLE FishProduction (Species TEXT, Quantity INT); INSERT INTO FishProduction (Species, Quantity) VALUES ('Tilapia', 6000000), ('Salmon', 3500000), ('Shrimp', 5000000), ('Cod', 2000000), ('Pangasius', 1200000); | what are the top 3 fish species in terms of global production? | SELECT Species, Quantity FROM FishProduction ORDER BY Quantity DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Attorneys (AttorneyID INT, BarExamAttempts INT); | How many cases were handled by attorneys who passed the bar exam on the first attempt? | SELECT COUNT(*) FROM Attorneys WHERE BarExamAttempts = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE biosensors(id INT, project VARCHAR(50), city VARCHAR(50), budget DECIMAL(10,2)); INSERT INTO biosensors VALUES (1, 'ProjectA', 'LA', 3000000.00), (2, 'ProjectB', 'NYC', 5000000.00), (3, 'ProjectC', 'LA', 4000000.00); | What is the maximum budget for a biosensor technology project in each city? | SELECT city, MAX(budget) FROM biosensors GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE arctic_research (id INTEGER, type TEXT); | How many times was each type of research conducted in the 'arctic_research' table, excluding 'climate change' research? | SELECT type, COUNT(*) FROM arctic_research WHERE type != 'climate change' GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE country_donations (country_id INT, country_name VARCHAR(50), total_donations DECIMAL(10,2), donation_year INT, avg_donation DECIMAL(10,2)); INSERT INTO country_donations (country_id, country_name, total_donations, donation_year, avg_donation) VALUES (1, 'USA', 50000.00, 2021, 100.00), (2, 'Canada', 40000.0... | Find the top 2 countries with the highest total donation amounts in 2021 and their respective average donation amounts? | SELECT donation_year, country_name, total_donations, AVG(avg_donation) avg_donation, RANK() OVER (ORDER BY total_donations DESC) country_rank FROM country_donations WHERE donation_year = 2021 AND country_rank <= 2 GROUP BY donation_year, country_name, total_donations; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sites (SiteID int, Name text, Country text); INSERT INTO Sites (SiteID, Name, Country) VALUES (1, 'SiteA', 'USA'); CREATE TABLE Artifacts (ArtifactID int, Name text, SiteID int, ExcavationYear int); INSERT INTO Artifacts (ArtifactID, Name, SiteID, ExcavationYear) VALUES (1, 'Artifact1', 2, 2005); | Which sites in 'North America' have no excavated artifacts? | SELECT Name FROM Sites LEFT JOIN Artifacts ON Sites.SiteID = Artifacts.SiteID WHERE Artifacts.SiteID IS NULL AND Country = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Games (GameID INT, Genre VARCHAR(20), Revenue INT, ReleaseYear INT); INSERT INTO Games (GameID, Genre, Revenue, ReleaseYear) VALUES (1, 'Sports', 5000000, 2019), (2, 'RPG', 7000000, 2020), (3, 'Strategy', 6000000, 2019), (4, 'Sports', 8000000, 2020), (5, 'RPG', 9000000, 2019); | What is the total revenue for each game genre in 2019 and 2020? | SELECT Genre, ReleaseYear, SUM(Revenue) as TotalRevenue FROM Games GROUP BY Genre, ReleaseYear | gretelai_synthetic_text_to_sql |
CREATE TABLE judges (judge_id INT, name VARCHAR(50)); INSERT INTO judges (judge_id, name) VALUES (1, 'John Doe'), (2, 'Jane Smith'), (3, 'Robert Johnson'); CREATE TABLE cases (case_id INT, judge_id INT, case_status VARCHAR(10)); INSERT INTO cases (case_id, judge_id, case_status) VALUES (101, 1, 'open'), (102, 1, 'dismi... | Display the total number of cases and the number of dismissed cases for each judge, ordered by the total number of cases? | SELECT judge_id, COUNT(*) as total_cases, SUM(CASE WHEN case_status = 'dismissed' THEN 1 ELSE 0 END) as dismissed_cases FROM cases GROUP BY judge_id ORDER BY total_cases DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE mines (id INT, name TEXT, location TEXT, annual_production INT); INSERT INTO mines (id, name, location, annual_production) VALUES (1, 'Mine A', 'Country X', 1500), (2, 'Mine B', 'Country Y', 2000), (3, 'Mine C', 'Country Z', 1750); | Which mine produced the most REE in 2021? | SELECT name, MAX(annual_production) as max_production FROM mines WHERE YEAR(timestamp) = 2021 GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE REVENUE(city VARCHAR(20), revenue DECIMAL(5,2)); INSERT INTO REVENUE(city, revenue) VALUES('Tokyo', 2000.00), ('Tokyo', 1800.00), ('Sydney', 2500.00), ('Sydney', 2200.00); | What is the revenue of sustainable fashion sales in Tokyo and Sydney? | SELECT SUM(revenue) FROM REVENUE WHERE city IN ('Tokyo', 'Sydney') AND revenue > 1500.00; | gretelai_synthetic_text_to_sql |
CREATE TABLE bus_waiting_times (bus_id INT, waiting_time INT); INSERT INTO bus_waiting_times (bus_id, waiting_time) VALUES (1, 10), (2, 5), (3, 15), (4, 8), (5, 12); | What is the average waiting time for buses in the Rome public transportation network? | SELECT AVG(waiting_time) FROM bus_waiting_times; | gretelai_synthetic_text_to_sql |
CREATE TABLE Indigenous_Communities (id INT, name VARCHAR(100), population INT, location VARCHAR(100), language VARCHAR(100)); INSERT INTO Indigenous_Communities (id, name, population, location, language) VALUES (1, 'Inuit', 80000, 'Canada', 'Inuktitut'); INSERT INTO Indigenous_Communities (id, name, population, locati... | What are the names and populations of indigenous communities in Canada that speak Inuktitut or Yupik? | SELECT name, population FROM Indigenous_Communities WHERE (language = 'Inuktitut' OR language = 'Yupik') AND location = 'Canada' | gretelai_synthetic_text_to_sql |
CREATE TABLE military_innovation (id INT, region VARCHAR, project_count INT); | What is the total number of military innovation projects for each region? | SELECT region, SUM(project_count) FROM military_innovation GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE expeditions (id INT PRIMARY KEY, name VARCHAR(255), objective VARCHAR(255), start_date DATE, end_date DATE, budget FLOAT); | Which expeditions have a budget greater than $500,000 and were completed in the last 3 years? | SELECT name, budget FROM expeditions WHERE budget > 500000 AND end_date >= DATE_SUB(CURDATE(), INTERVAL 3 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE CrueltyFreeMakeupSales (sale_id INT, product_name TEXT, is_cruelty_free BOOLEAN, sale_amount FLOAT, sale_date DATE, country TEXT); INSERT INTO CrueltyFreeMakeupSales (sale_id, product_name, is_cruelty_free, sale_amount, sale_date, country) VALUES (1, 'Cruelty-Free Lipstick', TRUE, 25.00, '2021-01-10', 'USA... | determine the average sale price of cruelty-free makeup products in the USA | SELECT AVG(sale_amount) FROM CrueltyFreeMakeupSales WHERE is_cruelty_free = TRUE AND country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_acidity (ocean VARCHAR(255), region VARCHAR(255), acidity FLOAT); INSERT INTO ocean_acidity (ocean, region, acidity) VALUES ('Indian', 'Indonesia', 8.2); INSERT INTO ocean_acidity (ocean, region, acidity) VALUES ('Indian', 'Sri Lanka', 8.1); | What is the maximum ocean acidity level in the Indian Ocean near Indonesia? | SELECT MAX(acidity) FROM ocean_acidity WHERE ocean = 'Indian' AND region = 'Indonesia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, name VARCHAR(255), country VARCHAR(255)); INSERT INTO mobile_subscribers (subscriber_id, name, country) VALUES (1, 'Jane Doe', 'USA'), (2, 'Maria Garcia', 'Mexico'); | What is the total number of mobile subscribers in each country? | SELECT country, COUNT(*) FROM mobile_subscribers GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE PolicyAdvocacy (AdvocacyID INT, AdvocacyType VARCHAR(50), InitiativeID INT, StartDate DATE, EndDate DATE); INSERT INTO PolicyAdvocacy (AdvocacyID, AdvocacyType, InitiativeID, StartDate, EndDate) VALUES (1, 'Legislation', 1, '2020-01-01', '2020-04-15'); INSERT INTO PolicyAdvocacy (AdvocacyID, AdvocacyType, ... | What is the average time taken for disability policy advocacy initiatives to be implemented, categorized by initiative type? | SELECT AdvocacyType, AVG(DATEDIFF(DAY, StartDate, EndDate)) AS AvgTime FROM PolicyAdvocacy GROUP BY AdvocacyType; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (event_id INT, event_name VARCHAR(50), city VARCHAR(30), attendance INT); INSERT INTO events (event_id, event_name, city, attendance) VALUES (1, 'Theater Play', 'New York', 200), (2, 'Art Exhibit', 'Los Angeles', 300), (3, 'Music Festival', 'New York', 400); | Display the event name and its corresponding city for all events with attendance greater than 250 | SELECT event_name, city FROM events WHERE attendance > 250; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_life (id INT, species VARCHAR(255), population INT, region VARCHAR(255)); INSERT INTO marine_life (id, species, population, region) VALUES (1, 'Salmon', 15000, 'pacific_ocean'); INSERT INTO marine_life (id, species, population, region) VALUES (2, 'Lionfish', 1200, 'atlantic_ocean'); INSERT INTO mari... | List all species in the marine_life table with their population counts for the arctic_ocean region, ordered by population in descending order. | SELECT species, population, region FROM marine_life WHERE region = 'arctic_ocean' ORDER BY population DESC; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists genetics;CREATE TABLE if not exists genetics.research_data_1 (id INT PRIMARY KEY, sample_id VARCHAR(50), sample_date DATE);CREATE TABLE if not exists genetics.research_data_2 (id INT PRIMARY KEY, sample_id VARCHAR(50), sample_result INT);CREATE TABLE if not exists genetics.research_data_3 (i... | List all genetic research data tables that have a 'sample_date' column. | SELECT table_name FROM information_schema.columns WHERE table_schema = 'genetics' AND column_name = 'sample_date'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farm (id INT PRIMARY KEY, name VARCHAR(50), region_id INT, avg_temp DECIMAL(5,2)); CREATE TABLE region (id INT PRIMARY KEY, name VARCHAR(50)); INSERT INTO region (id, name) VALUES (1, 'Midwest'), (2, 'South'); INSERT INTO farm (id, name, region_id, avg_temp) VALUES (1, 'Smith Farm', 1, 15.5), (2, 'Jones Fa... | What is the average temperature for all regions growing 'Corn'? | SELECT AVG(f.avg_temp) FROM farm f INNER JOIN region r ON f.region_id = r.id WHERE r.name IN (SELECT name FROM region WHERE id IN (SELECT region_id FROM farm WHERE name = 'Corn')); | gretelai_synthetic_text_to_sql |
CREATE TABLE flu_cases (id INT, age INT, location TEXT, year INT); INSERT INTO flu_cases (id, age, location, year) VALUES (1, 5, 'Florida', 2019); INSERT INTO flu_cases (id, age, location, year) VALUES (2, 25, 'Florida', 2018); INSERT INTO flu_cases (id, age, location, year) VALUES (3, 65, 'Florida', 2019); | Find the number of flu cases for each age group in Florida in 2019? | SELECT flu_cases.age, COUNT(flu_cases.id) FROM flu_cases WHERE flu_cases.location = 'Florida' AND flu_cases.year = 2019 GROUP BY flu_cases.age; | gretelai_synthetic_text_to_sql |
CREATE TABLE urban_schools (student_id INT, survey_score INT); INSERT INTO urban_schools VALUES (1001, 80), (1002, 85), (1003, 90); CREATE TABLE open_pedagogy_programs (student_id INT, program_type VARCHAR(50)); INSERT INTO open_pedagogy_programs VALUES (1001, 'Online'), (1002, 'Blended'), (1003, 'In-person'); | What is the average mental health survey score for students in urban schools who have participated in open pedagogy programs? | SELECT AVG(survey_score) FROM urban_schools JOIN open_pedagogy_programs ON urban_schools.student_id = open_pedagogy_programs.student_id WHERE program_type = 'Online' OR program_type = 'Blended'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CreativeAI (app_id INT, app_name VARCHAR(255), region VARCHAR(255), safety_score DECIMAL(5,2)); INSERT INTO CreativeAI (app_id, app_name, region, safety_score) VALUES (1, 'DreamApp', 'US', 85.2), (2, 'Invento', 'India', 88.7), (3, 'AIArtist', 'Canada', 91.5), (4, 'ScriptBot', 'UK', 96.8); | What is the average safety score of creative AI applications by region, ordered by the highest average score? | SELECT region, AVG(safety_score) as avg_safety_score FROM CreativeAI GROUP BY region ORDER BY avg_safety_score DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE wildlife_habitats (id INT, name VARCHAR(255), population INT, density FLOAT); | List all wildlife habitats with a population density over 5 | SELECT * FROM wildlife_habitats WHERE density > 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Name VARCHAR(100), Country VARCHAR(50), TotalHoursPlayed INT, Platform VARCHAR(50)); INSERT INTO Players VALUES (1, 'Michael Brown', 'USA', 50, 'PC'); INSERT INTO Players VALUES (2, 'Emily White', 'Canada', 35, 'Console'); CREATE TABLE GameDesign (GameID INT, GameName VARCHAR(100), G... | Count the number of unique players who have played sports games and have spent more than 30 hours on them, regardless of platform. | SELECT COUNT(DISTINCT P.PlayerID) as UniquePlayers FROM Players P JOIN GameDesign GD ON P.PlayerID = GD.GameID WHERE GD.Genre = 'Sports' AND P.TotalHoursPlayed > 30; | gretelai_synthetic_text_to_sql |
CREATE TABLE Inspections (restaurant_id INT, inspection_date DATE, violation_count INT); INSERT INTO Inspections (restaurant_id, inspection_date, violation_count) VALUES (2, '2020-04-01', 3), (2, '2020-07-15', 2); | List all food safety violations for 'Budget Burger' in Q2 2020. | SELECT * FROM Inspections WHERE restaurant_id = 2 AND EXTRACT(QUARTER FROM inspection_date) = 2 AND EXTRACT(YEAR FROM inspection_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (name VARCHAR(255), location VARCHAR(255), arts VARCHAR(255)); INSERT INTO programs (name, location, arts) VALUES ('Program1', 'North America', 'Art1, Art2'), ('Program2', 'North America', 'Art2, Art3'), ('Program3', 'Europe', 'Art1'); | Identify the community engagement programs in North America that have the most diverse range of traditional art forms. | SELECT location, COUNT(DISTINCT arts) AS diversity FROM programs WHERE location = 'North America' GROUP BY location ORDER BY diversity DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_posts (post_id INT, user_id INT, hashtags VARCHAR(255)); INSERT INTO user_posts (post_id, user_id) VALUES (1, 1), (2, 2), (3, 3); CREATE TABLE post_hashtags (post_id INT, hashtags VARCHAR(255)); INSERT INTO post_hashtags (post_id, hashtags) VALUES (1, '#music'), (1, '#food'), (2, '#nature'), (3, '#mus... | What is the total number of posts with the hashtag "#music" for users from the UK in the "user_posts" and "post_hashtags" tables? | SELECT COUNT(DISTINCT up.post_id) FROM user_posts up JOIN post_hashtags ph ON up.post_id = ph.post_id JOIN user_profiles upr ON up.user_id = upr.id WHERE ph.hashtags LIKE '%#music%' AND upr.country = 'UK'; | gretelai_synthetic_text_to_sql |
CREATE TABLE nurses (id INT, name VARCHAR(50), salary DECIMAL(10, 2), is_union_member BOOLEAN, department VARCHAR(50)); INSERT INTO nurses (id, name, salary, is_union_member, department) VALUES (1, 'Peter', 60000.00, false, 'nursing'), (2, 'Penny', 65000.00, true, 'nursing'), (3, 'Patrick', 55000.00, false, 'nursing'); | What is the minimum salary for workers in the 'healthcare_database' database who are not members of a union and work in the 'nursing' department? | SELECT MIN(salary) FROM nurses WHERE is_union_member = false AND department = 'nursing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE materials (id INT, name TEXT, ethical_source BOOLEAN); CREATE TABLE inventory (id INT, material_id INT, quantity INT); INSERT INTO materials (id, name, ethical_source) VALUES (1, 'Material A', true), (2, 'Material B', false), (3, 'Material C', true); INSERT INTO inventory (id, material_id, quantity) VALUES... | What is the total quantity of ethically sourced materials in stock? | SELECT SUM(inventory.quantity) FROM inventory INNER JOIN materials ON inventory.material_id = materials.id WHERE materials.ethical_source = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_impact (id INT, date DATE, co2_emissions FLOAT); | Identify the monthly trend of CO2 emissions in the past year. | SELECT EXTRACT(MONTH FROM date) as month, AVG(co2_emissions) as avg_co2_emissions FROM environmental_impact WHERE date >= DATEADD(year, -1, CURRENT_DATE) GROUP BY EXTRACT(MONTH FROM date) ORDER BY EXTRACT(MONTH FROM date); | gretelai_synthetic_text_to_sql |
CREATE TABLE criminal_justice_reform_groups (group_id INT, country VARCHAR(50)); | What is the number of criminal justice reform advocacy groups in each country? | SELECT country, COUNT(*) FROM criminal_justice_reform_groups GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE fleet (id INT PRIMARY KEY, name VARCHAR(255), type VARCHAR(255)); INSERT INTO fleet (id, name, type) VALUES (1, 'City Bus', 'Conventional'), (2, 'Trolley', 'Electric'), (3, 'Autonomous Shuttle', NULL); | Add a new autonomous shuttle to the fleet table. | UPDATE fleet SET type = 'Autonomous' WHERE id = 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE eco_hotels (hotel_id INT, hotel_name TEXT, country TEXT, certification_level INT, occupancy_rate DECIMAL); INSERT INTO eco_hotels (hotel_id, hotel_name, country, certification_level, occupancy_rate) VALUES (401, 'Asia Eco Lodge', 'India', 4, 0.85), (402, 'Bali Green Resort', 'Indonesia', 5, 0.90), (403, 'J... | What is the average occupancy rate of eco-friendly hotels in Europe with certification level 5? | SELECT AVG(occupancy_rate) as avg_occupancy_rate FROM eco_hotels WHERE country IN ('France') AND certification_level = 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (user_id INT, first_name VARCHAR(50), last_name VARCHAR(50), age INT, gender VARCHAR(10), country VARCHAR(50), accepted_privacy_policy BOOLEAN); | What is the percentage of users who have accepted our data privacy policy in each country, in the past 6 months? | SELECT country, ROUND(100.0 * SUM(CASE WHEN accepted_privacy_policy THEN 1 ELSE 0 END) / COUNT(user_id) OVER (PARTITION BY country), 2) AS acceptance_percentage FROM users WHERE accepted_privacy_policy IS NOT NULL AND post_date >= (CURRENT_DATE - INTERVAL '6 months') GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Patients (PatientID int, PatientName varchar(50), ClinicID int); CREATE TABLE Addresses (AddressID int, Address varchar(50), ClinicID int, Longitude decimal(10,8), Latitude decimal(10,8)); INSERT INTO Patients (PatientID, PatientName, ClinicID) VALUES (1, 'Patient A', 1); INSERT INTO Addresses (AddressID, ... | What is the average distance from rural healthcare professionals to their patients? | SELECT AVG(ST_Distance(Patients.Address, Addresses)) AS AvgDistance FROM Patients JOIN Addresses ON Patients.ClinicID = Addresses.ClinicID; | gretelai_synthetic_text_to_sql |
CREATE TABLE Smart_Contracts (Contract_ID INT, Gas_Fees DECIMAL(10,2), Developer_Location VARCHAR(50)); INSERT INTO Smart_Contracts (Contract_ID, Gas_Fees, Developer_Location) VALUES (1, 50.50, 'Germany'), (2, 75.25, 'China'), (3, 30.00, 'France'); | What are the average gas fees for Ethereum smart contracts executed by developers in the EU and Asia? | SELECT AVG(Gas_Fees) FROM Smart_Contracts WHERE Developer_Location IN ('EU', 'Asia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE canada_traffic_accidents (id INT, year INT, province VARCHAR(255), num_accidents INT); INSERT INTO canada_traffic_accidents (id, year, province, num_accidents) VALUES (1, 2012, 'Ontario', 187000); | What is the total number of traffic accidents in Canada, by province, for the last 10 years? | SELECT province, SUM(num_accidents) AS total_accidents FROM canada_traffic_accidents WHERE year BETWEEN 2012 AND 2021 GROUP BY province; | gretelai_synthetic_text_to_sql |
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