context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE technology_access (id INT PRIMARY KEY, country VARCHAR(50), region VARCHAR(50), internet_speed VARCHAR(10)); INSERT INTO technology_access (id, country, region, internet_speed) VALUES (1, 'India', 'Asia-Pacific', 'Low'); INSERT INTO technology_access (id, country, region, internet_speed) VALUES (2, 'Austra... | Update the "technology_access" table to set the "internet_speed" to "High" for the records with "region" as "Asia-Pacific" | UPDATE technology_access SET internet_speed = 'High' WHERE region = 'Asia-Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE InvisibleDisabilities (StudentID INT, StudentName VARCHAR(50), Disability VARCHAR(20)); INSERT INTO InvisibleDisabilities (StudentID, StudentName, Disability) VALUES (7, 'Olivia Thompson', 'Autism'); INSERT INTO InvisibleDisabilities (StudentID, StudentName, Disability) VALUES (8, 'Mason Taylor', 'ADHD'); ... | How many students with invisible disabilities are not included in social events? | SELECT COUNT(DISTINCT s.StudentID) FROM InvisibleDisabilities s JOIN Events e ON s.StudentID = e.StudentID WHERE e.Included = FALSE; | gretelai_synthetic_text_to_sql |
CREATE TABLE dishes (dish_id INT, dish_name VARCHAR(50), dish_type VARCHAR(20), calorie_count INT, added_date DATE); INSERT INTO dishes (dish_id, dish_name, dish_type, calorie_count, added_date) VALUES (1, 'Veggie Delight', 'vegan', 300, '2021-05-01'), (2, 'Tofu Stir Fry', 'vegan', 450, '2021-05-02'), (3, 'Chickpea Cur... | Show the daily total calorie count for each dish type. | SELECT dish_type, added_date, SUM(calorie_count) OVER (PARTITION BY dish_type ORDER BY added_date) total_calorie_count FROM dishes; | gretelai_synthetic_text_to_sql |
CREATE TABLE Purchases (PurchaseID INT, CustomerID INT, PurchaseDate DATE); INSERT INTO Purchases (PurchaseID, CustomerID, PurchaseDate) VALUES (1, 1, '2021-01-01'), (2, 2, '2021-02-01'), (3, 3, '2021-03-01'), (4, 4, '2021-04-01'), (5, 5, '2021-05-01'); | How many customers in each size category have made a purchase in the past year? | SELECT Customers.Size, COUNT(DISTINCT Customers.CustomerID) FROM Customers INNER JOIN Purchases ON Customers.CustomerID = Purchases.CustomerID WHERE Purchases.PurchaseDate BETWEEN '2020-01-01' AND '2021-12-31' GROUP BY Customers.Size; | gretelai_synthetic_text_to_sql |
CREATE TABLE incidents (incident_id INT, incident_date DATE, category VARCHAR(20)); INSERT INTO incidents (incident_id, incident_date, category) VALUES (1, '2021-01-01', 'Medical'), (2, '2021-02-15', 'Fire'), (3, '2021-03-01', 'Traffic'); | How many medical incidents were recorded each month in 'incidents' table for the year 2021? | SELECT DATE_FORMAT(incident_date, '%Y-%m') AS month, COUNT(*) FROM incidents WHERE YEAR(incident_date) = 2021 AND category = 'Medical' GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE affordability (id INT, index FLOAT, city VARCHAR(20)); INSERT INTO affordability (id, index, city) VALUES (1, 100, 'Denver'), (2, 120, 'Portland'), (3, 80, 'NYC'); | What is the average housing affordability index for each city? | SELECT city, AVG(index) FROM affordability GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE DroneFlight (date DATE, country VARCHAR(20), malfunction BOOLEAN); | Identify the number of times a drone malfunction occurred in each country for the past six months. | SELECT country, COUNT(*) FROM DroneFlight WHERE date >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH) AND malfunction = TRUE GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(100), date DATE, topic VARCHAR(50), region VARCHAR(50)); INSERT INTO articles VALUES (1, 'Corruption scandal', '2022-01-01', 'Corruption', 'Asia'); | What is the total number of articles about corruption in the past year, categorized by the region where the corruption occurred? | SELECT articles.region, COUNT(articles.id) FROM articles WHERE articles.date >= DATEADD(year, -1, GETDATE()) AND articles.topic = 'Corruption' GROUP BY articles.region; | gretelai_synthetic_text_to_sql |
CREATE TABLE astronauts (id INT, name VARCHAR(50), status VARCHAR(50), missions VARCHAR(50)); INSERT INTO astronauts (id, name, status, missions) VALUES (1, 'Neil Armstrong', 'deceased', 'Apollo 11'); INSERT INTO astronauts (id, name, status, missions) VALUES (2, 'Scott Kelly', 'active', 'ISS, STS-103'); | Find the number of active astronauts who have been on the ISS. | SELECT COUNT(*) FROM astronauts WHERE status = 'active' AND FIND_IN_SET('ISS', missions) > 0; | gretelai_synthetic_text_to_sql |
CREATE TABLE savings (customer_id INT, name TEXT, state TEXT, savings DECIMAL(10, 2)); INSERT INTO savings (customer_id, name, state, savings) VALUES (7, 'James Davis', 'New York', 9000.00), (8, 'Mia Anderson', 'Texas', 10000.00); | How many customers have savings greater than '8000'? | SELECT COUNT(*) FROM savings WHERE savings > 8000; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_date DATE, menu_category VARCHAR(255), sales_amount DECIMAL(10, 2)); INSERT INTO sales (sale_date, menu_category, sales_amount) VALUES ('2022-10-01', 'Appetizers', 300.00), ('2022-10-01', 'Entrees', 800.00), ('2022-10-01', 'Desserts', 400.00), ('2022-10-02', 'Appetizers', 400.00), ('2022-10-02'... | What is the daily sales amount for each menu category in October 2022? | SELECT menu_category, SUM(sales_amount) AS daily_sales FROM sales WHERE sale_date BETWEEN '2022-10-01' AND '2022-10-31' GROUP BY menu_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sustainable_Destinations (id INT, destination_name VARCHAR(50), sustainable BOOLEAN); CREATE TABLE Tourists_Destinations (tourist_id INT, destination_id INT, visit_date DATE); INSERT INTO Sustainable_Destinations VALUES (1, 'Eco Village', true); INSERT INTO Sustainable_Destinations VALUES (2, 'Green City',... | How many tourists from each country visited sustainable destinations? | SELECT Tourists.nationality, COUNT(DISTINCT Tourists_Destinations.tourist_id) AS num_tourists FROM Tourists_Destinations INNER JOIN Tourists ON Tourists_Destinations.tourist_id = Tourists.id INNER JOIN Sustainable_Destinations ON Tourists_Destinations.destination_id = Sustainable_Destinations.id WHERE Sustainable_Desti... | gretelai_synthetic_text_to_sql |
CREATE TABLE MusicSales (sale_id INT, sale_date DATE, sale_amount DECIMAL(10,2), genre VARCHAR(20), track_id INT); CREATE TABLE Tracks (track_id INT, track_name VARCHAR(50), genre VARCHAR(20), artist_id INT); CREATE TABLE Artists (artist_id INT, artist_name VARCHAR(50), genre VARCHAR(20)); | Calculate the total number of tracks and revenue generated from digital music sales for the Latin genre. | SELECT COUNT(t.track_id) as total_tracks, SUM(ms.sale_amount) as total_revenue FROM Tracks t INNER JOIN MusicSales ms ON t.track_id = ms.track_id INNER JOIN Artists a ON t.genre = a.genre WHERE a.genre = 'Latin'; | gretelai_synthetic_text_to_sql |
CREATE TABLE manufacturing_sector (sector VARCHAR(255), vulnerability VARCHAR(255), remediation_days INT); INSERT INTO manufacturing_sector (sector, vulnerability, remediation_days) VALUES ('Manufacturing', 'Vulnerability A', 20), ('Manufacturing', 'Vulnerability B', 30), ('Manufacturing', 'Vulnerability C', 40), ('Man... | What is the minimum number of days to remediate vulnerabilities in the manufacturing sector? | SELECT MIN(remediation_days) FROM manufacturing_sector WHERE sector = 'Manufacturing'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists genetics; USE genetics; CREATE TABLE if not exists research_status (id INT, project_id INT, status VARCHAR(255)); INSERT INTO research_status (id, project_id, status) VALUES (1, 1, 'Ongoing'), (2, 2, 'Completed'), (3, 3, 'On Hold'); | How many genetic research projects are ongoing in Canada? | SELECT COUNT(*) FROM genetics.research_status WHERE project_id IN (SELECT id FROM genetics.research_projects WHERE country = 'Canada') AND status = 'Ongoing'; | gretelai_synthetic_text_to_sql |
CREATE TABLE teachers (id INT, name VARCHAR(255)); CREATE TABLE courses (id INT, name VARCHAR(255), start_date DATE, end_date DATE); CREATE TABLE teacher_courses (teacher_id INT, course_id INT, completed DATE); | What is the maximum number of courses completed by a single teacher in a year? | SELECT t.name, MAX(COUNT(tc.teacher_id)) as max_courses FROM teacher_courses tc JOIN courses c ON tc.course_id = c.id JOIN teachers t ON tc.teacher_id = t.id WHERE c.start_date <= '2022-01-01' AND c.end_date >= '2022-12-31' GROUP BY t.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE auto_shows (id INT, name VARCHAR(50), location VARCHAR(50)); CREATE TABLE vehicles_at_shows (id INT, auto_show_id INT, vehicle_count INT); INSERT INTO auto_shows VALUES (1, 'New York Auto Show', 'New York'); INSERT INTO vehicles_at_shows VALUES (1, 1, 600); | What is the total number of vehicles at the 'New York Auto Show' in the 'auto_shows' schema? | SELECT SUM(vehicle_count) FROM vehicles_at_shows WHERE auto_show_id = (SELECT id FROM auto_shows WHERE name = 'New York Auto Show'); | gretelai_synthetic_text_to_sql |
CREATE TABLE finance.employees (id INT, name VARCHAR(50), hire_date DATE); INSERT INTO finance.employees (id, name, hire_date) VALUES (1, 'Alice Johnson', '2021-02-01'); INSERT INTO finance.employees (id, name, hire_date) VALUES (2, 'Bob Brown', '2021-03-15'); INSERT INTO finance.employees (id, name, hire_date) VALUES ... | List employees who joined after January 1st, 2022 in the "finance" schema | SELECT * FROM finance.employees WHERE hire_date > '2022-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE nytimes (id INT, title VARCHAR(255), content TEXT, tags TEXT, pub_date DATE); INSERT INTO nytimes (id, title, content, tags, pub_date) VALUES (1, 'Title1', 'Content1', 'climate change,tag1', '2022-01-01'); CREATE TABLE wa_post (id INT, title VARCHAR(255), content TEXT, tags TEXT, pub_date DATE); INSERT INT... | List all the unique tags used in articles related to 'climate change' across 'The New York Times' and 'The Washington Post'. | SELECT DISTINCT trim(SPLIT_PART(tags, ',', n)) as tag FROM (SELECT tags, generate_series(1, ARRAY_LENGTH(string_to_array(tags, ','))) as n FROM (SELECT tags FROM nytimes WHERE lower(tags) like '%climate change%' UNION ALL SELECT tags FROM wa_post WHERE lower(tags) like '%climate change%') subquery) sq; | gretelai_synthetic_text_to_sql |
CREATE TABLE intrusion_detection (id INT, src_ip VARCHAR(50), dst_ip VARCHAR(50), protocol VARCHAR(10), timestamp DATETIME); INSERT INTO intrusion_detection (id, src_ip, dst_ip, protocol, timestamp) VALUES (1, '192.168.0.10', '8.8.8.8', 'TCP', '2022-02-01 14:20:00'); | What is the average time interval between intrusion detection events for a specific destination IP, grouped by the protocol, while excluding the first event? | SELECT protocol, AVG(timestamp - LAG(timestamp) OVER (PARTITION BY dst_ip ORDER BY timestamp)) as avg_interval FROM intrusion_detection WHERE dst_ip = '8.8.8.8' GROUP BY protocol; | gretelai_synthetic_text_to_sql |
CREATE TABLE revenue (revenue_id INT, hotel_name VARCHAR(255), region VARCHAR(255), revenue INT); INSERT INTO revenue (revenue_id, hotel_name, region, revenue) VALUES (1, 'The Royal Palace Hotel', 'Asia-Pacific', 50000); | Find the average virtual tourism revenue for the Asia-Pacific region. | SELECT AVG(revenue) FROM revenue WHERE region = 'Asia-Pacific'; | gretelai_synthetic_text_to_sql |
Products (product_id, name, rating, cruelty_free) | Find all cruelty-free products with a user rating greater than 4.5 | SELECT * FROM Products WHERE cruelty_free = 'yes' AND rating > 4.5 | gretelai_synthetic_text_to_sql |
CREATE TABLE Astronauts (AstronautID INT, Name VARCHAR(50), Gender VARCHAR(10)); CREATE TABLE MedicalConditions (ConditionID INT, Condition VARCHAR(50), AstronautID INT); | How many unique medical conditions have affected astronauts? | SELECT COUNT(DISTINCT Condition) FROM MedicalConditions; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name TEXT, founding_year INT, founder_identity TEXT); | List all startups founded by people from the LGBTQ+ community | SELECT * FROM startups WHERE founder_identity IS NOT NULL AND founder_identity LIKE '%LGBTQ%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wages (id INT, factory_id INT, region VARCHAR(50), hourly_wage DECIMAL(5,2)); | What is the minimum wage in factories per region? | SELECT region, MIN(hourly_wage) AS min_wage FROM wages GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE PlayerGames (PlayerID int, Age int, GameGenre varchar(10), GameRating int); INSERT INTO PlayerGames (PlayerID, Age, GameGenre, GameRating) VALUES (1, 30, 'Action', 9), (2, 25, 'Strategy', 8); | What is the total number of players who have played a game with the genre 'Action' and a rating of 8 or higher? | SELECT COUNT(*) FROM PlayerGames WHERE GameGenre = 'Action' AND GameRating >= 8; | gretelai_synthetic_text_to_sql |
CREATE TABLE Retailer (id INT, name VARCHAR(255), type VARCHAR(255)); CREATE TABLE Product (id INT, name VARCHAR(255), retailer_id INT, ethical BOOLEAN); | How many ethical and non-ethical products are sold by each retailer? | SELECT r.name, COUNT(p.id) FILTER (WHERE p.ethical) as ethical_products_count, COUNT(p.id) FILTER (WHERE NOT p.ethical) as non_ethical_products_count FROM Retailer r JOIN Product p ON r.id = p.retailer_id GROUP BY r.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Employees (EmployeeID INT, Department VARCHAR(255), Community VARCHAR(255)); INSERT INTO Employees (EmployeeID, Department, Community) VALUES (1, 'Mining Operations', 'Community A'), (2, 'Mining Operations', 'Community B'), (3, 'Mining Operations', 'Community A'); | What is the maximum number of employees in the Mining Operations department from a single community? | SELECT Department, Community, MAX(COUNT(*)) OVER (PARTITION BY Department) FROM Employees GROUP BY Department, Community; | gretelai_synthetic_text_to_sql |
CREATE TABLE fleet (id INT, name VARCHAR(50), capacity INT, type VARCHAR(50)); INSERT INTO fleet VALUES (1, 'ShipA', 10000, 'Container'), (2, 'ShipB', 12000, 'Container'), (3, 'ShipC', 8000, 'Container'), (4, 'ShipD', 5000, 'Tanker'); | Identify the container ships that have a higher capacity than the average capacity of all container ships. | SELECT * FROM fleet WHERE type = 'Container' AND capacity > (SELECT AVG(capacity) FROM fleet WHERE type = 'Container'); | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists carbon_offset_programs (program_id integer, program_start_date date, program_location varchar(255), carbon_offset_tons integer); INSERT INTO carbon_offset_programs (program_id, program_start_date, program_location, carbon_offset_tons) VALUES (1, '2018-01-01', 'France', 2000), (2, '2018-06-01'... | What is the average carbon offset (in metric tons) for carbon offset programs in Europe that were initiated in 2018? | SELECT program_location, AVG(carbon_offset_tons) as avg_offset FROM carbon_offset_programs WHERE program_start_date BETWEEN '2018-01-01' AND '2018-12-31' AND program_location LIKE 'Europe%' GROUP BY program_location; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouse (id INT, name VARCHAR(255), location VARCHAR(255)); INSERT INTO warehouse (id, name, location) VALUES (1, 'NY', 'New York'), (2, 'LA', 'Los Angeles'); CREATE TABLE inventory (item_code VARCHAR(255), quantity INT, warehouse_id INT); INSERT INTO inventory (item_code, quantity, warehouse_id) VALUES ... | What is the total quantity of item 'APP-01' in all warehouses? | SELECT SUM(quantity) FROM inventory WHERE item_code = 'APP-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE biosensors(id INT, name VARCHAR(50), country VARCHAR(50), development_date DATE);INSERT INTO biosensors (id, name, country, development_date) VALUES (1, 'BioSensorA', 'USA', '2021-03-01');INSERT INTO biosensors (id, name, country, development_date) VALUES (2, 'BioSensorB', 'Germany', '2020-12-10'); | Which biosensors were developed in the EU? | SELECT name FROM biosensors WHERE country LIKE 'EU%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE journeys (vessel VARCHAR(20), speed INT, distance INT); INSERT INTO journeys (vessel, speed, distance) VALUES ('Aurelia', 20, 100), ('Aurelia', 22, 120), ('Belfast', 25, 150), ('Belfast', 24, 140), ('Belfast', 26, 160), ('Caledonia', 21, 110), ('Caledonia', 23, 130); | What was the total distance traveled by all vessels? | SELECT SUM(distance) FROM journeys; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (artist_id INT, artist_name VARCHAR(255), genre VARCHAR(255)); CREATE TABLE albums (album_id INT, album_name VARCHAR(255), release_year INT, artist_id INT); INSERT INTO artists (artist_id, artist_name, genre) VALUES (1, 'Miles Davis', 'Jazz'); INSERT INTO albums (album_id, album_name, release_year,... | How many albums were released by jazz artists between 1980 and 1999? | SELECT COUNT(*) FROM albums JOIN artists ON albums.artist_id = artists.artist_id WHERE artists.genre = 'Jazz' AND albums.release_year BETWEEN 1980 AND 1999; | gretelai_synthetic_text_to_sql |
CREATE TABLE Patients (PatientID INT, Age INT, Gender VARCHAR(10), Disease VARCHAR(20), Region VARCHAR(20)); INSERT INTO Patients (PatientID, Age, Gender, Disease, Region) VALUES (1, 34, 'Male', 'Influenza', 'Los Angeles'); INSERT INTO Patients (PatientID, Age, Gender, Disease, Region) VALUES (2, 42, 'Female', 'Pneumon... | Count the number of patients diagnosed with any disease in the 'California' region, grouped by gender. | SELECT Gender, COUNT(*) FROM Patients WHERE Region = 'California' GROUP BY Gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE material_source (id INT PRIMARY KEY, name VARCHAR(50), sustainability_score INT, certified VARCHAR(10)); INSERT INTO material_source (id, name, sustainability_score, certified) VALUES (1, 'Organic Cotton', 85, 'no'), (2, 'Recycled Polyester', 70, 'no'), (3, 'Tencel', 90, 'no'); | Update 'material_source' table, setting 'certified' column as 'yes' if 'sustainability_score' is greater than or equal to 80 | UPDATE material_source SET certified = 'yes' WHERE sustainability_score >= 80; | gretelai_synthetic_text_to_sql |
CREATE TABLE Concessions (ConcessionID INT, Item VARCHAR(50), Price DECIMAL(5,2), StadiumID INT); INSERT INTO Concessions VALUES (1, 'Hotdog', 5, 1); INSERT INTO Concessions VALUES (2, 'Popcorn', 3, 1); INSERT INTO Concessions VALUES (3, 'Nachos', 6, 2); INSERT INTO Concessions VALUES (4, 'Soda', 4, 2); INSERT INTO Con... | What are the top 3 most expensive concessions for each stadium? | SELECT ConcessionID, Item, Price, StadiumID, ROW_NUMBER() OVER (PARTITION BY StadiumID ORDER BY Price DESC) AS PriceRank FROM Concessions WHERE PriceRank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE UnderwaterVolcanoes (VolcanoID INT, VolcanoName VARCHAR(255), Location VARCHAR(255), LastEruption DATE); | Update the 'LastEruption' date of the 'Eyjafjallajökull' volcano in the 'UnderwaterVolcanoes' table | UPDATE UnderwaterVolcanoes SET LastEruption = '2010-04-14' WHERE VolcanoName = 'Eyjafjallajökull'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Campaigns (CampaignID INT, Year INT, Budget INT, Region VARCHAR(50)); CREATE TABLE MentalHealthCampaigns (CampaignID INT, CampaignName VARCHAR(50)); | What is the total budget for mental health campaigns in a specific region? | SELECT Campaigns.Region, SUM(Campaigns.Budget) FROM Campaigns INNER JOIN MentalHealthCampaigns ON Campaigns.CampaignID = MentalHealthCampaigns.CampaignID GROUP BY Campaigns.Region; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_events (id INT, city VARCHAR(20), attendance INT); INSERT INTO cultural_events (id, city, attendance) VALUES (1, 'Paris', 2000), (2, 'Berlin', 3000), (3, 'New York', 2500), (4, 'Paris', 2200), (5, 'Berlin', 2800); | What is the average attendance for cultural events in 'Paris' and 'Berlin'? | SELECT city, AVG(attendance) FROM cultural_events GROUP BY city HAVING city IN ('Paris', 'Berlin'); | gretelai_synthetic_text_to_sql |
CREATE TABLE LocalTourOperators (name VARCHAR(50), location VARCHAR(20), year INT, revenue DECIMAL(10,2)); | What is the total revenue generated by local tour operators in India for the year 2021? | SELECT SUM(revenue) FROM LocalTourOperators WHERE location = 'India' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (EventID int, EventName varchar(50), Attendance int, VisitorProfession varchar(50)); INSERT INTO Events VALUES (1, 'Photography Workshop', 50, 'Artist'), (2, 'Writing Seminar', 30, 'Writer'), (3, 'Sculpture Class', 40, 'Artist'); | How many total unique visitors identified as artists visited events in the last 90 days? | SELECT COUNT(DISTINCT VisitorProfession) FROM Events WHERE EXTRACT(DAY FROM EventDate) BETWEEN EXTRACT(DAY FROM CURRENT_DATE - INTERVAL '90 days') AND EXTRACT(DAY FROM CURRENT_DATE) AND VisitorProfession = 'Artist'; | gretelai_synthetic_text_to_sql |
CREATE TABLE urban_farms (id INT, name VARCHAR(50), location VARCHAR(50), crop VARCHAR(50), harvest_date DATE); | Which crops were harvested in 'spring 2021' from the 'urban_farms' table? | SELECT * FROM urban_farms WHERE harvest_date BETWEEN '2021-03-01' AND '2021-05-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE disaster_preparedness_centers (id INT, center_name TEXT, location TEXT); INSERT INTO disaster_preparedness_centers (id, center_name, location) VALUES (1, 'Center A', 'Coastal'), (2, 'Center B', 'Inland'), (3, 'Center C', 'Coastal'), (4, 'Center D', 'Mountain'); CREATE TABLE training_sessions (id INT, cente... | What is the total number of disaster preparedness centers in coastal areas and the total number of training sessions conducted at these centers, broken down by training type? | SELECT c.location, training_type, SUM(session_count) AS total_sessions FROM disaster_preparedness_centers c JOIN training_sessions s ON c.id = s.center_id WHERE c.location = 'Coastal' GROUP BY c.location, training_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT PRIMARY KEY, name VARCHAR(255), leader_gender VARCHAR(10), sector VARCHAR(255), region VARCHAR(255)); INSERT INTO projects (id, name, leader_gender, sector, region) VALUES (1, 'Wind Power', 'Female', 'Renewable Energy', 'Europe'), (2, 'Smart Grid', 'Male', 'Energy Efficiency', 'North Ameri... | How many climate mitigation projects are led by women? | SELECT COUNT(*) FROM projects WHERE leader_gender = 'Female' AND sector = 'Renewable Energy' OR sector = 'Land Use'; | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity (region VARCHAR(50), year INT, capacity INT); INSERT INTO landfill_capacity (region, year, capacity) VALUES ('Africa', 2022, 1500), ('Asia', 2022, 4000), ('Europe', 2022, 3500), ('North America', 2022, 4200), ('South America', 2022, 3000), ('Oceania', 2022, 2400); | Landfill capacity for each region in 2022? | SELECT region, capacity FROM landfill_capacity WHERE year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE departments (id INT, name VARCHAR(255)); INSERT INTO departments (id, name) VALUES (1, 'Biology'), (2, 'Mathematics'), (3, 'Sociology'); CREATE TABLE graduate_students (id INT, department_id INT, gender VARCHAR(10), num_students INT); INSERT INTO graduate_students (id, department_id, gender, num_students) ... | What is the total number of graduate students per department? | SELECT d.name, SUM(gs.num_students) FROM departments d JOIN graduate_students gs ON d.id = gs.department_id GROUP BY d.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE agricultural_robot_metrics (robot_id INT, battery_level DECIMAL(3,1), metric_timestamp DATETIME); | Delete all records from the agricultural_robot_metrics table where battery_level is below 20% and timestamp is older than a month | DELETE FROM agricultural_robot_metrics WHERE battery_level < 20.0 AND metric_timestamp <= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE sales_2022 AS SELECT * FROM sales WHERE sale_date BETWEEN '2022-01-01' AND '2022-12-31'; ALTER TABLE sales_2022 ADD COLUMN country_region VARCHAR(50); UPDATE sales_2022 SET country_region = CASE WHEN sale_country = 'Brazil' THEN 'South America' WHEN sale_country = 'India' THEN 'Asia' WHEN sale_country = 'U... | What was the total sales amount for each product category by country in 2022? | SELECT country_region, product_category, SUM(sale_amount) FROM sales_2022 GROUP BY country_region, product_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE medical_facilities (id INT, project_id INT, location VARCHAR(255), construction_date DATE); INSERT INTO medical_facilities (id, project_id, location, construction_date) VALUES (1, 6001, 'Kenya', '2019-05-01'); INSERT INTO medical_facilities (id, project_id, location, construction_date) VALUES (2, 6002, 'Ni... | What is the total number of medical facilities constructed in "Africa" before 2020? | SELECT COUNT(*) FROM medical_facilities WHERE location = 'Africa' AND YEAR(construction_date) < 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE fairness_papers (paper_name VARCHAR(255), conference VARCHAR(255), author VARCHAR(255)); INSERT INTO fairness_papers (paper_name, conference, author) VALUES ('Bias in AI', 'ACM FAccT', 'Joanna Bryson'), ('Fairness Metrics', 'ACM FAccT', 'Moritz Hardt'); | What are the names and corresponding authors of all algorithmic fairness papers in the 'ACM FAccT' conference? | SELECT paper_name, author FROM fairness_papers WHERE conference = 'ACM FAccT' | gretelai_synthetic_text_to_sql |
CREATE TABLE subscriber_data (subscriber_id INT, plan_id INT, monthly_charge DECIMAL(10,2)); INSERT INTO subscriber_data (subscriber_id, plan_id, monthly_charge) VALUES (1, 1, 50.00), (2, 2, 70.00), (3, 3, 100.00); CREATE TABLE mobile_plans (plan_id INT, plan_name VARCHAR(255), monthly_revenue DECIMAL(10,2)); | What is the total revenue for each mobile plan? | INSERT INTO mobile_plans (plan_id, plan_name, monthly_revenue) SELECT plan_id, plan_name, SUM(monthly_charge) FROM subscriber_data GROUP BY plan_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE customer_transactions (transaction_date DATE, customer_id INT, transaction_amt DECIMAL(10, 2)); INSERT INTO customer_transactions (transaction_date, customer_id, transaction_amt) VALUES ('2022-01-01', 1, 200.00), ('2022-01-02', 2, 300.50), ('2022-01-03', 3, 150.25); | What is the average daily transaction amount per customer? | SELECT customer_id, AVG(transaction_amt) OVER (PARTITION BY customer_id) AS avg_daily_transaction_amt FROM customer_transactions; | gretelai_synthetic_text_to_sql |
CREATE TABLE Attorneys (AttorneyID int, Name varchar(50)); INSERT INTO Attorneys VALUES (1, 'Smith'), (2, 'Johnson'); CREATE TABLE Cases (CaseID int, AttorneyID int, Outcome varchar(10)); INSERT INTO Cases VALUES (1, 1, 'Won'), (2, 1, 'Lost'), (3, 2, 'Won'); | How many cases were won by each attorney? | SELECT A.Name, COUNT(C.CaseID) as WonCases FROM Attorneys A INNER JOIN Cases C ON A.AttorneyID = C.AttorneyID WHERE C.Outcome = 'Won' GROUP BY A.Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE graduate_students (id INT, name VARCHAR(50), department VARCHAR(50)); CREATE TABLE research_grants (id INT, graduate_student_id INT, amount DECIMAL(10,2)); CREATE TABLE publications (id INT, graduate_student_id INT, publication_date DATE); | What is the total amount of funding received by graduate students from research grants in the Humanities department who have published in the past year? | SELECT SUM(rg.amount) FROM research_grants rg JOIN graduate_students gs ON rg.graduate_student_id = gs.id JOIN publications p ON gs.id = p.graduate_student_id WHERE gs.department = 'Humanities' AND p.publication_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE civil_engineering_structures (id INT, name VARCHAR(255), type VARCHAR(255), location VARCHAR(255)); CREATE TABLE structure_construction_dates (structure_id INT, year INT); | Find the number of structures ('dam', 'bridge', 'tunnel') and their respective ages (in years) in the 'civil_engineering_structures' and 'structure_construction_dates' tables. | SELECT ce.type, COUNT(ce.id) as number_of_structures, YEAR(CURRENT_DATE) - scd.year as age_in_years FROM civil_engineering_structures ce INNER JOIN structure_construction_dates scd ON ce.id = scd.structure_id GROUP BY ce.type; | gretelai_synthetic_text_to_sql |
CREATE TABLE wells (well_id INT, well_name TEXT, drill_year INT, country TEXT); INSERT INTO wells (well_id, well_name, drill_year, country) VALUES (1, 'Well A', 2020, 'USA'), (2, 'Well B', 2019, 'Canada'), (3, 'Well C', 2020, 'Mexico'); | How many wells were drilled in each country in the year 2020? | SELECT country, COUNT(*) as well_count FROM wells WHERE drill_year = 2020 GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE veteran_employment (industry VARCHAR(255), state VARCHAR(255), employment NUMERIC); INSERT INTO veteran_employment (industry, state, employment) VALUES ('Defense', 'Texas', 15000), ('Aerospace', 'Texas', 10000); | How many veterans are employed in the defense industry in Texas? | SELECT employment FROM veteran_employment WHERE industry = 'Defense' AND state = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_city_initiatives (id INT, initiative_name VARCHAR(255), country VARCHAR(255), carbon_offset FLOAT, start_quarter DATE); | What is the total carbon offset of smart city initiatives in Asia, broken down by quarter? | SELECT QUARTER(start_quarter) AS quarter, SUM(carbon_offset) FROM smart_city_initiatives WHERE country = 'Asia' GROUP BY quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE workout_groups (id INT, user_id INT, group_label VARCHAR(10)); INSERT INTO workout_groups (id, user_id, group_label) VALUES (1, 7, 'Beginner'); INSERT INTO workout_groups (id, user_id, group_label) VALUES (2, 8, 'Advanced'); CREATE TABLE weights (id INT, workout_group_id INT, weight FLOAT); INSERT INTO w... | What is the minimum weight lifted by users in the 'Advanced' workout group? | SELECT MIN(weight) FROM weights w JOIN workout_groups g ON w.workout_group_id = g.id WHERE g.group_label = 'Advanced'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CircularEconomy (country TEXT, waste INT); INSERT INTO CircularEconomy (country, waste) VALUES ('Country1', 200), ('Country2', 300), ('Country3', 150), ('Country4', 250), ('Country5', 400); | What is the total waste generated by each country in the circular economy? | SELECT country, SUM(waste) as total_waste FROM CircularEconomy GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity_metrics (id INT, company_name VARCHAR(100), region VARCHAR(50), employees_of_color INT, women_in_tech INT); INSERT INTO diversity_metrics (id, company_name, region, employees_of_color, women_in_tech) VALUES (1, 'Acme Inc.', 'Europe', 15, 22), (2, 'Bravo Corp.', 'North America', 35, 18); | Delete all records in the "diversity_metrics" table where the region is "Europe" | DELETE FROM diversity_metrics WHERE region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Packaging (id INT, item VARCHAR(50), material VARCHAR(50), cost DECIMAL(5,2)); | Insert new sustainable packaging options with corresponding costs. | INSERT INTO Packaging (item, material, cost) VALUES ('Compostable Box', 'Plant-based', 14.99), ('Reusable Container', 'Glass', 24.99); | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, Country TEXT, DonationAmount DECIMAL); INSERT INTO Donors (DonorID, DonorName, Country, DonationAmount) VALUES (1, 'Emma Thompson', 'United Kingdom', 25.00), (2, 'Daniel Craig', 'United Kingdom', 50.00); | What is the minimum donation amount for donors from the United Kingdom? | SELECT MIN(DonationAmount) FROM Donors WHERE Country = 'United Kingdom'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Construction_Permits (id INT, permit_number VARCHAR(20), issue_date DATE, state VARCHAR(20)); INSERT INTO Construction_Permits (id, permit_number, issue_date, state) VALUES (1, 'CP12345', '2018-01-01', 'Georgia'); | What is the total number of construction permits issued in the state of Georgia in 2018? | SELECT COUNT(permit_number) FROM Construction_Permits WHERE issue_date >= '2018-01-01' AND issue_date < '2019-01-01' AND state = 'Georgia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Astronauts (BadgeID INT PRIMARY KEY, Name VARCHAR(255), Age INT, Gender VARCHAR(10), Nationality VARCHAR(100)); INSERT INTO Astronauts (BadgeID, Name, Age, Gender, Nationality) VALUES (3, 'Rakesh Sharma', 52, 'Male', 'India'); INSERT INTO Astronauts (BadgeID, Name, Age, Gender, Nationality) VALUES (4, 'Yan... | What is the average age of astronauts from India and China? | SELECT AVG(Age) FROM Astronauts WHERE Nationality IN ('India', 'China'); | gretelai_synthetic_text_to_sql |
CREATE TABLE tech_accessibility_initiatives (region VARCHAR(20), initiatives INT); INSERT INTO tech_accessibility_initiatives (region, initiatives) VALUES ('Asia', 300), ('North America', 200), ('Europe', 250); | What is the total number of technology accessibility initiatives in Asia? | SELECT SUM(initiatives) as total_initiatives FROM tech_accessibility_initiatives WHERE region = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (id INT PRIMARY KEY, strategy VARCHAR(255), risk_level VARCHAR(50), impact_score INT, esg_rating VARCHAR(50));CREATE TABLE organizations (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), sector VARCHAR(255));CREATE TABLE partnerships (id INT PRIMARY KEY, investment_id INT, organiza... | What are the details of organizations in Latin America focused on climate change and their partnerships with sustainable investments? | SELECT i.strategy, i.risk_level, i.impact_score, i.esg_rating, o.name, o.location, o.sector, p.start_date, p.end_date FROM partnerships p JOIN sustainable_investments si ON p.investment_id = si.id JOIN climate_change_organizations cco ON p.organization_id = cco.id JOIN investments i ON si.id = i.id JOIN organizations o... | gretelai_synthetic_text_to_sql |
CREATE TABLE community_policing (id INT, area VARCHAR(10), month INT, num_events INT); INSERT INTO community_policing (id, area, month, num_events) VALUES (1, 'urban', 1, 20), (2, 'rural', 1, 25), (3, 'urban', 2, 18), (4, 'rural', 2, 30); | What is the maximum number of community policing events in the 'rural' areas in a single month? | SELECT MAX(num_events) FROM community_policing WHERE area = 'rural' GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE weather (city VARCHAR(255), temperature FLOAT, date DATE); INSERT INTO weather (city, temperature, date) VALUES ('Delhi', 60, '2022-01-01'); | Update the temperature record for 'Delhi' on '2022-01-01' to 70 degrees. | UPDATE weather SET temperature = 70 WHERE city = 'Delhi' AND date = '2022-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE TrainingSessions (SessionID INT, SessionName VARCHAR(50), SessionDate DATE, NumberOfAttendees INT, AttendeeAccessibility VARCHAR(10)); | What is the total number of training sessions conducted for employees with disabilities in the first half of 2022? | SELECT COUNT(*) as TotalSessions FROM TrainingSessions WHERE SessionDate BETWEEN '2022-01-01' AND '2022-06-30' AND AttendeeAccessibility = 'Yes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MaxLand (Location VARCHAR(20), System VARCHAR(20), Area FLOAT); INSERT INTO MaxLand (Location, System, Area) VALUES ('New York', 'Urban Agriculture', 1500), ('Los Angeles', 'Urban Agriculture', 2000), ('Toronto', 'Urban Agriculture', 2500); | What is the maximum area of land used for urban agriculture? | SELECT MAX(Area) FROM MaxLand WHERE System = 'Urban Agriculture'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customer_preferences (customer_id INT, item_id INT, preference_score INT); INSERT INTO customer_preferences (customer_id, item_id, preference_score) VALUES (101, 1, 90), (101, 2, 80), (101, 3, 85), (102, 1, 75), (102, 4, 95); | Delete customer preferences for customer 101 | DELETE FROM customer_preferences WHERE customer_id = 101; | gretelai_synthetic_text_to_sql |
CREATE TABLE article_word_count (article_id INT, word_count INT, category VARCHAR(20)); INSERT INTO article_word_count (article_id, word_count, category) VALUES (1, 500, 'Politics'), (2, 800, 'Sports'), (3, 300, 'Politics'), (4, 1200, 'Sports'); | What is the minimum and maximum word count of articles in the 'article_word_count' table? | SELECT MIN(word_count) as min_word_count, MAX(word_count) as max_word_count FROM article_word_count; | gretelai_synthetic_text_to_sql |
CREATE TABLE Aquaculture_farms (id INT, name TEXT, country TEXT, biomass FLOAT); INSERT INTO Aquaculture_farms (id, name, country, biomass) VALUES (1, 'Farm A', 'Denmark', 1500.0), (2, 'Farm B', 'Canada', 2000.0), (3, 'Farm C', 'Japan', 1000.0); | What is the maximum biomass of fish in 'Aquaculture_farms'? | SELECT MAX(biomass) FROM Aquaculture_farms; | gretelai_synthetic_text_to_sql |
CREATE TABLE ResearchPapers (Id INT, Title VARCHAR(100), Citations INT); INSERT INTO ResearchPapers (Id, Title, Citations) VALUES (1, 'Autonomous Driving Algorithms', 120), (2, 'Deep Learning for Self-Driving Cars', 80), (3, 'Sensor Fusion in Autonomous Vehicles', 150); | Show autonomous driving research papers with more than 100 citations. | SELECT * FROM ResearchPapers WHERE Citations > 100; | gretelai_synthetic_text_to_sql |
CREATE TABLE user_profiles (user_id INT, user_name VARCHAR(255), pass_type VARCHAR(255), purchase_date DATE); INSERT INTO user_profiles (user_id, user_name, pass_type, purchase_date) VALUES (1, 'Alice', 'Monthly', '2022-03-01'), (2, 'Bob', 'Weekly', '2022-03-02'), (3, 'Charlie', 'Monthly', '2022-01-01'); | How many users purchased a monthly pass in the last quarter? | SELECT COUNT(*) FROM user_profiles WHERE pass_type = 'Monthly' AND purchase_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE Wind_Turbine_Projects (project_id INT, location VARCHAR(50), household_count INT, average_energy_consumption FLOAT); INSERT INTO Wind_Turbine_Projects (project_id, location, household_count, average_energy_consumption) VALUES (1, 'Alberta', 500, 2500.0), (2, 'Saskatchewan', 300, 2000.0); | What is the average energy consumption per household in the Wind Turbine Projects? | SELECT AVG(average_energy_consumption) FROM Wind_Turbine_Projects; | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (id INT PRIMARY KEY, name TEXT); INSERT INTO regions (id, name) VALUES (1, 'North'); CREATE TABLE crops (id INT PRIMARY KEY, region_id INT, crop TEXT, production INT); INSERT INTO crops (id, region_id, crop, production) VALUES (1, 1, 'cotton', 500); | What is the total production of 'cotton' and 'tobacco' for each region? | SELECT region_id, SUM(production) FROM crops WHERE crop IN ('cotton', 'tobacco') GROUP BY region_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE acquisitions (id INT, acquirer_id INT, acquiree_id INT, acquisition_year INT); | How many acquisitions happened in 2021? | SELECT COUNT(*) FROM acquisitions WHERE acquisition_year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists rig_movement (rig_id INT, rig_name TEXT, location TEXT, movement_year INT, movement_type TEXT); INSERT INTO rig_movement (rig_id, rig_name, location, movement_year, movement_type) VALUES (1, 'Rig D', 'Gulf of Mexico', 2022, 'added'), (2, 'Rig E', 'Gulf of Mexico', 2021, 'removed'), (3, 'Rig F... | Show the number of drilling rigs added or removed in the Gulf of Mexico in 2022 | SELECT location, SUM(CASE WHEN movement_type = 'added' THEN 1 WHEN movement_type = 'removed' THEN -1 ELSE 0 END) AS net_movement FROM rig_movement WHERE location = 'Gulf of Mexico' AND movement_year = 2022 GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE tickets (ticket_id INT, exhibition_id INT, sale_date DATE, revenue DECIMAL(5,2)); INSERT INTO tickets (ticket_id, exhibition_id, sale_date, revenue) VALUES (1, 2, '2022-01-02', 25.00), (2, 2, '2022-01-03', 30.00), (3, 3, '2022-01-04', 20.00); | What is the total revenue generated from online ticket sales for the "Modern Art" exhibition? | SELECT SUM(revenue) FROM tickets WHERE exhibition_id = 2 AND sale_date >= '2022-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE route (route_id INT, route_name VARCHAR(255)); INSERT INTO route (route_id, route_name) VALUES (1, 'Route 1'), (2, 'Route 2'); CREATE TABLE fares (fare_id INT, route_id INT, fare_amount DECIMAL, fare_date DATE); INSERT INTO fares (fare_id, route_id, fare_amount, fare_date) VALUES (1, 1, 2.50, '2022-01-01')... | What is the total fare collected for each route on January 1, 2022? | SELECT r.route_name, SUM(f.fare_amount) as total_fare FROM fares f JOIN route r ON f.route_id = r.route_id WHERE f.fare_date = '2022-01-01' GROUP BY r.route_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE union_membership (member_id INT, name VARCHAR(50), union_name VARCHAR(50), membership_start_date DATE);CREATE TABLE workplace_safety (safety_id INT, union_name VARCHAR(50), incident_date DATE, incident_type VARCHAR(50), severity VARCHAR(50), union_membership_id INT);CREATE VIEW union_membership_summary AS ... | What is the total number of workplace safety incidents per 100 members for each union in the South region? | SELECT ums.union_name, (COUNT(*) * 100.0 / ums.num_members) as incidents_per_100_members FROM workplace_safety ws JOIN union_membership_summary ums ON ws.union_name = ums.union_name JOIN south_unions su ON ws.union_name = su.union_name GROUP BY ums.union_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Spacecraft_Manufacturing (id INT, manufacturer VARCHAR(20), cost INT, launch_date DATE); INSERT INTO Spacecraft_Manufacturing (id, manufacturer, cost, launch_date) VALUES (1, 'SpaceCorp', 5000000, '2022-05-15'); | What are the names of the spacecraft manufactured by SpaceCorp and their launch dates? | SELECT manufacturer, launch_date FROM Spacecraft_Manufacturing WHERE manufacturer = 'SpaceCorp'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels(id INT, name TEXT, country TEXT, rating FLOAT); INSERT INTO hotels (id, name, country, rating) VALUES (1, 'Hotel Cusco', 'Peru', 4.2), (2, 'Hotel Lima', 'Peru', 4.5); | What is the minimum rating of hotels in Peru? | SELECT MIN(rating) FROM hotels WHERE country = 'Peru'; | gretelai_synthetic_text_to_sql |
CREATE TABLE citizen_participation (participation_date DATE, participation_value INT); | What is the percentage change in citizen participation over the last month? | SELECT (SUM(CASE WHEN participation_date >= DATEADD(month, -1, GETDATE()) THEN participation_value ELSE 0 END) - SUM(CASE WHEN participation_date < DATEADD(month, -1, GETDATE()) THEN participation_value ELSE 0 END)) * 100.0 / SUM(participation_value) OVER () as participation_percentage_change FROM citizen_participation... | gretelai_synthetic_text_to_sql |
CREATE TABLE autonomous_vehicles (id INT, model VARCHAR(255), manufacture_date DATE); | Delete the records of autonomous vehicles older than 5 years from the autonomous_vehicles table. | DELETE FROM autonomous_vehicles WHERE manufacture_date < DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_storage_2030 (technology VARCHAR(255), capacity FLOAT); INSERT INTO energy_storage_2030 (technology, capacity) VALUES ('Lithium-ion', 18000.0), ('Flow', 25000.1), ('Sodium-ion', 32000.2); | What is the minimum energy storage capacity by technology in 2030? | SELECT technology, MIN(capacity) AS min_capacity FROM energy_storage_2030 GROUP BY technology; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpaceX_Missions (Id INT, Name VARCHAR(50), NumLaunches INT); INSERT INTO SpaceX_Missions (Id, Name, NumLaunches) VALUES (1, 'Falcon1', 5), (2, 'Falcon9', 10), (3, 'FalconHeavy', 3); | What is the minimum number of launches for any SpaceX mission? | SELECT MIN(NumLaunches) FROM SpaceX_Missions; | gretelai_synthetic_text_to_sql |
CREATE TABLE plant_counts (plant_count INT, state CHAR(2), grow_year INT); INSERT INTO plant_counts (plant_count, state, grow_year) VALUES (1000, 'OR', 2021), (2000, 'OR', 2020), (3000, 'CA', 2021); | How many cannabis plants were grown in Oregon in 2021? | SELECT SUM(plant_count) FROM plant_counts WHERE state = 'OR' AND grow_year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_contracts (contract_id INT, contract_name VARCHAR(50), creation_date DATE); INSERT INTO smart_contracts (contract_id, contract_name, creation_date) VALUES (1, 'Contract A', '2022-01-01'), (2, 'Contract B', '2022-02-01'), (3, 'Contract C', '2022-01-15'), (4, 'Contract D', '2022-02-15'); | What is the total number of smart contracts created for each month in the '2022' year? | SELECT EXTRACT(MONTH FROM creation_date) as month, COUNT(*) as total_contracts FROM smart_contracts WHERE EXTRACT(YEAR FROM creation_date) = 2022 GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessel (vessel_id INT, name VARCHAR(255), type VARCHAR(255), max_speed DECIMAL(5,2)); INSERT INTO Vessel (vessel_id, name, type, max_speed) VALUES (1, 'Test Vessel 1', 'Cargo', 20.5), (2, 'Test Vessel 2', 'Tanker', 15.2), (3, 'Test Vessel 3', 'Passenger', 30.7), (4, 'Test Vessel 4', 'Passenger', 35.6); | What is the maximum max speed of vessels that have a type of 'Passenger'? | SELECT MAX(v.max_speed) FROM Vessel v WHERE v.type = 'Passenger'; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT, region VARCHAR(20), category VARCHAR(20), funding DECIMAL(10,2)); | What is the total funding for projects in the "human rights" category in Asia? | SELECT SUM(funding) FROM projects WHERE region = 'Asia' AND category = 'human rights'; | gretelai_synthetic_text_to_sql |
CREATE TABLE inspection_results (id INT PRIMARY KEY, facility_id INT, inspection_date DATE, inspection_score INT); | Create a table for storing healthcare facility inspection results | INSERT INTO inspection_results (id, facility_id, inspection_date, inspection_score) VALUES (1, 1, '2022-10-15', 90), (2, 1, '2023-03-20', 95), (3, 2, '2022-11-05', 85); | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers( id INT PRIMARY KEY NOT NULL, name VARCHAR(50), age INT, city VARCHAR(30), country VARCHAR(30) ); INSERT INTO volunteers (id, name, age, city, country) VALUES (1, 'John Doe', 25, 'New York', 'USA'); INSERT INTO volunteers (id, name, age, city, country) VALUES (2, 'Jane Doe', 30, 'Los Angeles', '... | Create a view named 'young_volunteers' showing volunteers under 25 | CREATE VIEW young_volunteers AS SELECT * FROM volunteers WHERE age < 25; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers_5 (customer_id INT, name VARCHAR(50), region VARCHAR(20)); INSERT INTO customers_5 (customer_id, name, region) VALUES (1, 'John Doe', 'Asia-Pacific'), (2, 'Jane Smith', 'Europe'), (3, 'Alice Johnson', 'Asia-Pacific'), (4, 'Bob Brown', 'Americas'); | Update the region of customer with customer_id 1 to 'Europe'. | UPDATE customers_5 SET region = 'Europe' WHERE customer_id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE ArchaeologistsBySite (SiteID INT, Archaeologist TEXT); INSERT INTO ArchaeologistsBySite (SiteID, Archaeologist) VALUES (1, 'Giovanni Battista de Rossi'), (1, 'Pietro Rosa'), (2, 'Giovanni Carbonelli'), (3, 'Zahi Hawass'), (4, 'Howard Carter'), (4, 'Theodore Davis'); | Which archaeologists have discovered artifacts in the same site? | SELECT SiteID, GROUP_CONCAT(Archaeologist) FROM ArchaeologistsBySite GROUP BY SiteID; | gretelai_synthetic_text_to_sql |
CREATE TABLE consumer_demographics (consumer_id INT PRIMARY KEY, age INT, gender TEXT, location TEXT); | Create a table to store consumer demographic information | CREATE TABLE consumer_demographics (consumer_id INT PRIMARY KEY, age INT, gender TEXT, location TEXT); | gretelai_synthetic_text_to_sql |
CREATE TABLE route_planning (id INT, vehicle_type VARCHAR(20), route_date DATE, num_riders INT); INSERT INTO route_planning (id, vehicle_type, route_date, num_riders) VALUES (1, 'Bus', '2021-04-26', 150), (2, 'Tram', '2021-04-28', 200), (3, 'Train', '2021-04-30', 250); | How many riders used each vehicle type in the last week of April 2021? | SELECT vehicle_type, SUM(num_riders) as total_riders FROM route_planning WHERE route_date BETWEEN '2021-04-26' AND '2021-04-30' GROUP BY vehicle_type; | gretelai_synthetic_text_to_sql |
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