context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE ethereum_network (network_name TEXT, smart_contract_count INTEGER, smart_contract_hash TEXT); | What is the total number of smart contracts and their unique hashes for the 'Ethereum' network? | SELECT network_name, COUNT(DISTINCT smart_contract_hash) as total_smart_contracts, COUNT(*) as total_count FROM ethereum_network GROUP BY network_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_innovation (innovation_id INT, innovation_name VARCHAR(255), category VARCHAR(255), date DATE); INSERT INTO military_innovation (innovation_id, innovation_name, category, date) VALUES (1, 'Innovation A', 'Unmanned Aerial Vehicles', '2018-01-01'), (2, 'Innovation B', 'Cybersecurity', '2019-01-01'),... | What is the name of the most recent military innovation in the area of cybersecurity? | SELECT innovation_name FROM military_innovation INNER JOIN categories ON military_innovation.category = categories.category WHERE category = 'Cybersecurity' AND date = (SELECT MAX(date) FROM military_innovation); | gretelai_synthetic_text_to_sql |
CREATE TABLE menu(id INT, item VARCHAR(255), cuisine VARCHAR(255), popularity INT); INSERT INTO menu(id, item, cuisine, popularity) VALUES (1, 'Pizza', 'Italian', 50), (2, 'Spaghetti', 'Italian', 30), (3, 'Tacos', 'Mexican', 70), (4, 'Burritos', 'Mexican', 40); | What is the most popular menu item for each cuisine type? | SELECT cuisine, item, popularity FROM (SELECT cuisine, item, popularity, RANK() OVER (PARTITION BY cuisine ORDER BY popularity DESC) as rank FROM menu) subquery WHERE rank = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists cultural_competency_scores (score INT, race VARCHAR(255)); INSERT INTO cultural_competency_scores (score, race) VALUES (90, 'Hispanic'), (85, 'African American'), (95, 'Asian'); | What is the maximum cultural competency score by race? | SELECT MAX(score), race FROM cultural_competency_scores GROUP BY race; | gretelai_synthetic_text_to_sql |
CREATE TABLE routes (route_id INT, name VARCHAR(255), type VARCHAR(255)); CREATE TABLE stations (station_id INT, name VARCHAR(255), latitude DECIMAL(9,6), longitude DECIMAL(9,6)); CREATE TABLE route_stops (route_id INT, station_id INT); | List all routes with their corresponding stops | SELECT r.name AS route_name, s.name AS station_name FROM routes r JOIN route_stops rs ON r.route_id = rs.route_id JOIN stations s ON rs.station_id = s.station_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE artist_streams (artist_id INT, streams INT, stream_date DATE); CREATE TABLE festival_performances (artist_id INT, festival_id INT, performance_date DATE); | How many streams did each artist have in the last month, for artists who performed at music festivals in the last year? | SELECT a.artist_id, SUM(s.streams) as total_streams FROM artist_streams s JOIN festival_performances f ON s.artist_id = f.artist_id WHERE s.stream_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) AND f.performance_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY a.artist_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE seals (id INT, name VARCHAR(255), location VARCHAR(255)); | How many seals are there in the 'seals' table? | SELECT COUNT(*) FROM seals; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, industry TEXT, founding_year INT, founder_gender TEXT); INSERT INTO companies (id, name, industry, founding_year, founder_gender) VALUES (1, 'TechFem', 'Technology', 2015, 'Female'); INSERT INTO companies (id, name, industry, founding_year, founder_gender) VALUES (2, 'GreenInn... | What is the number of startups founded by women in the technology sector with no funding records? | SELECT COUNT(*) FROM companies WHERE founder_gender = 'Female' AND industry = 'Technology' AND id NOT IN (SELECT company_id FROM funding_records); | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, product VARCHAR(20), region VARCHAR(20), revenue DECIMAL(10,2)); INSERT INTO sales (sale_id, product, region, revenue) VALUES (1, 'Software', 'North', 5000.00), (2, 'Hardware', 'South', 3000.00), (3, 'Consulting', 'East', 7000.00); | What is the total revenue generated per region? | SELECT region, SUM(revenue) as total_revenue FROM sales GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE art_workshops (id INT, age INT, city VARCHAR(50)); INSERT INTO art_workshops (id, age, city) VALUES (1, 27, 'New York'), (2, 32, 'Los Angeles'); | What was the total number of art workshops attended by adults aged 25-34 in New York? | SELECT SUM(1) FROM art_workshops WHERE age BETWEEN 25 AND 34 AND city = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurant_revenue (restaurant_id INT, revenue_date DATE, total_revenue DECIMAL(10, 2)); | Delete records in the restaurant_revenue table with a total_revenue less than 2500 | DELETE FROM restaurant_revenue WHERE total_revenue < 2500; | gretelai_synthetic_text_to_sql |
CREATE TABLE economic_impact (id INT, country VARCHAR(50), impact FLOAT); INSERT INTO economic_impact (id, country, impact) VALUES (1, 'India', 5000), (2, 'Japan', 6000), (3, 'Italy', 7000); | List the top 3 countries with the highest local economic impact from tourism? | SELECT country, impact FROM economic_impact WHERE row_number() OVER (ORDER BY impact DESC) <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE habitats (id INT, name VARCHAR(255));CREATE TABLE animals (id INT, species_id INT, habitat_id INT);CREATE TABLE species (id INT, name VARCHAR(255));CREATE TABLE community_outreach (id INT, habitat_id INT, animal_id INT); INSERT INTO habitats (id, name) VALUES (1, 'Forest'), (2, 'Savannah'); INSERT INTO ani... | List habitats, the number of species in each, and the number of animals they protect | SELECT h.name AS habitat_name, COUNT(DISTINCT s.id) AS species_count, COUNT(co.animal_id) AS animals_protected FROM community_outreach co INNER JOIN animals a ON co.animal_id = a.id INNER JOIN species s ON a.species_id = s.id INNER JOIN habitats h ON a.habitat_id = h.id GROUP BY h.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (id INT, name VARCHAR(255), country VARCHAR(255), donation DECIMAL(10,2)); | What is the average amount of donations made by individuals from the United States? | SELECT AVG(donation) FROM donors WHERE country = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (team VARCHAR(50), location VARCHAR(50), date DATE); INSERT INTO games (team, location, date) VALUES ('Los Angeles Dodgers', 'Home', '2022-06-01'), ('Los Angeles Dodgers', 'Away', '2022-06-03'), ('New York Yankees', 'Home', '2022-06-02'), ('Los Angeles Dodgers', 'Home', '2022-06-04'); | How many home games did the 'los_angeles_dodgers' play in the 'games' table? | SELECT COUNT(*) FROM games WHERE team = 'Los Angeles Dodgers' AND location = 'Home'; | gretelai_synthetic_text_to_sql |
CREATE TABLE oil_production (production_id INT PRIMARY KEY, company_name VARCHAR(255), year INT, yearly_production BIGINT); | Update the 'oil_production' table to set the yearly_production to 1000000 for all records where the company_name = 'Green Oil Inc.' | UPDATE oil_production SET yearly_production = 1000000 WHERE company_name = 'Green Oil Inc.'; | gretelai_synthetic_text_to_sql |
CREATE TABLE nba_teams (id INT, team VARCHAR(50), wins INT, losses INT, season VARCHAR(10)); INSERT INTO nba_teams (id, team, wins, losses, season) VALUES (1, 'Boston Celtics', 60, 20, '2023'), (2, 'LA Lakers', 45, 35, '2023'); | Show the total number of wins for each team in the 2023 NBA season. | SELECT team, SUM(wins) FROM nba_teams WHERE season = '2023'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_life_biomass (id INT, location TEXT, biomass FLOAT); INSERT INTO marine_life_biomass (id, location, biomass) VALUES (1, 'Atlantic Ocean', 1500000.0), (2, 'Pacific Ocean', 1200000.0); | What is the total biomass of all marine life in the Atlantic Ocean? | SELECT SUM(biomass) FROM marine_life_biomass WHERE location = 'Atlantic Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE OrganicWasteData (country VARCHAR(50), population INT, organic_waste_kg FLOAT); INSERT INTO OrganicWasteData (country, population, organic_waste_kg) VALUES ('Spain', 47351247, 3.8); | What is the average organic waste generation per capita in Spain? | SELECT AVG(organic_waste_kg/population) FROM OrganicWasteData WHERE country = 'Spain'; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups (id INT, name TEXT, exit_date DATE); CREATE TABLE exits (id INT, startup_id INT, exit_date DATE); | List all startups that have not exited | SELECT startups.name FROM startups LEFT JOIN exits ON startups.id = exits.startup_id WHERE exits.exit_date IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE content_creators (id INT, name TEXT, country TEXT, media_literacy_score INT); INSERT INTO content_creators (id, name, country, media_literacy_score) VALUES (1, 'Alice', 'USA', 80), (2, 'Bob', 'USA', 85); | What is the average media literacy score for content creators in the United States? | SELECT AVG(media_literacy_score) FROM content_creators WHERE country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE extreme_weather_data (region VARCHAR(255), year INT, days_with_extreme_weather INT); | What is the number of days with extreme weather events in each region over the last 5 years? | SELECT region, SUM(days_with_extreme_weather) OVER (PARTITION BY region) FROM extreme_weather_data WHERE year BETWEEN 2018 AND 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE InternationalDonations (DonationID INT, DonorID INT, Country VARCHAR(50), DonationAmount DECIMAL(10, 2), DonationDate DATE); | Identify the top 3 countries with the highest total donation amounts in the 'InternationalDonations' table. | SELECT Country, SUM(DonationAmount) AS TotalDonations FROM InternationalDonations GROUP BY Country ORDER BY TotalDonations DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE districts (district_id INT, district_name TEXT, recycling_rate DECIMAL(5,4)); INSERT INTO districts (district_id, district_name, recycling_rate) VALUES (1, 'District A', 0.35), (2, 'District B', 0.45), (3, 'District C', 0.55); | Which district had the highest recycling rate in 2019? | SELECT district_name, MAX(recycling_rate) FROM districts WHERE YEAR(districts.date) = 2019 GROUP BY district_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE steps (user_id INT, steps INT, step_date DATE); INSERT INTO steps (user_id, steps, step_date) VALUES (1, 5000, '2022-01-01'), (2, 7000, '2022-01-01'), (3, 8000, '2022-01-02'), (4, 9000, '2022-01-02'); | What is the total number of steps taken by users in a day? | SELECT SUM(steps) FROM steps GROUP BY step_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE genres (genre VARCHAR(10), song_id INT, song_length FLOAT); INSERT INTO genres (genre, song_id, song_length) VALUES ('metal', 22, 175.2), ('metal', 23, 160.8), ('metal', 24, 205.9); | What is the maximum song_length in the metal genre? | SELECT MAX(song_length) FROM genres WHERE genre = 'metal'; | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(50), country VARCHAR(50), favorite_genre VARCHAR(50)); INSERT INTO users (id, name, country, favorite_genre) VALUES (1, 'Alice', 'USA', 'Pop'), (2, 'Bob', 'Canada', 'Rock'), (3, 'Charlie', 'Canada', 'Rock'), (4, 'David', 'USA', 'Jazz'), (5, 'Eve', 'USA', 'Pop'), (6, 'Frank', 'Ca... | What is the most popular genre among users in 'Canada'? | SELECT favorite_genre, COUNT(*) as genre_count FROM users WHERE country = 'Canada' GROUP BY favorite_genre ORDER BY genre_count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farmers (FarmerID int, FarmerName text, Location text); INSERT INTO Farmers (FarmerID, FarmerName, Location) VALUES (1, 'John Doe', 'California'); CREATE TABLE Production (Product text, FarmerID int, Quantity int); INSERT INTO Production (Product, FarmerID, Quantity) VALUES ('Broccoli', 1, 500); | What is the total production of 'Broccoli' by all farmers in 'California'? | SELECT SUM(Quantity) FROM Production JOIN Farmers ON Production.FarmerID = Farmers.FarmerID WHERE Product = 'Broccoli' AND Location = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Bikes (bike_id INT, bike_type VARCHAR(20)); INSERT INTO Bikes (bike_id, bike_type) VALUES (1, 'Mountain Bike'), (2, 'Road Bike'), (3, 'Hybrid Bike'); | Delete all records from the 'Bikes' table where 'bike_type' is 'Hybrid Bike' | DELETE FROM Bikes WHERE bike_type = 'Hybrid Bike'; | gretelai_synthetic_text_to_sql |
CREATE TABLE whale_sightings_2021 (ocean VARCHAR(255), num_whales INT); INSERT INTO whale_sightings_2021 (ocean, num_whales) VALUES ('Atlantic', 150), ('Pacific', 210), ('Indian', 180), ('Arctic', 120); | What is the total number of whales spotted in all oceans in 2021? | SELECT SUM(num_whales) FROM whale_sightings_2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE NetworkDevices (id INT, device_name VARCHAR(50), severity VARCHAR(10), discovered_date DATE); INSERT INTO NetworkDevices (id, device_name, severity, discovered_date) VALUES (1, 'Router1', 'High', '2021-08-01'), (2, 'Switch1', 'Medium', '2021-07-15'), (3, 'Firewall1', 'Low', '2021-06-01'), (4, 'Router2', 'H... | What are the top 5 most vulnerable devices in the 'NetworkDevices' table, based on the number of vulnerabilities? | SELECT device_name, COUNT(*) as number_of_vulnerabilities FROM NetworkDevices GROUP BY device_name ORDER BY number_of_vulnerabilities DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE ROUTE_SEGMENTS (route_id TEXT, segment_start TEXT, segment_end TEXT, fare REAL, collection_date DATE); INSERT INTO ROUTE_SEGMENTS (route_id, segment_start, segment_end, fare, collection_date) VALUES ('1', 'Start1', 'End1', 2.5, '2022-03-01'), ('2', 'Start2', 'End2', 3.0, '2022-03-02'), ('1', 'Start3', 'End... | What is the total fare collected for each route segment in the past month? | SELECT route_id, SUM(fare) FROM ROUTE_SEGMENTS WHERE collection_date >= (CURRENT_DATE - INTERVAL '30 days') GROUP BY route_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Salmon_farms (id INT, name TEXT, country TEXT, water_temp FLOAT); INSERT INTO Salmon_farms (id, name, country, water_temp) VALUES (1, 'Farm A', 'Norway', 8.5), (2, 'Farm B', 'Canada', 2.0); | What is the average water temperature in January for all Salmon farms? | SELECT AVG(water_temp) FROM Salmon_farms WHERE MONTH(created_at) = 1 AND species = 'Salmon'; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (donation_id INT, donor_city VARCHAR(50), donation_amount DECIMAL(10,2)); INSERT INTO donations VALUES (1, 'NYC', 100.00), (2, 'LA', 200.00), (3, 'SF', 150.00), (4, 'Seattle', 250.00); | What is the total donation amount by city for cities that start with 'S'? | SELECT SUM(donation_amount) FROM donations WHERE donor_city LIKE 'S%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Service (id INT, department_id INT, name VARCHAR(50), cost DECIMAL(10,2)); INSERT INTO Service (id, department_id, name, cost) VALUES (1, 1, 'Service1', 10000.00); INSERT INTO Service (id, department_id, name, cost) VALUES (2, 1, 'Service2', 15000.00); INSERT INTO Service (id, department_id, name, cost) VA... | What is the total budget for services in a department with a name starting with 'D'? | SELECT SUM(Service.cost) FROM Service INNER JOIN Department ON Service.department_id = Department.id WHERE Department.name LIKE 'D%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farm (id INT, name VARCHAR(50)); CREATE TABLE IotDevice (id INT, name VARCHAR(50), farm_id INT); INSERT INTO Farm (id, name) VALUES (1, 'Farm A'), (2, 'Farm B'), (3, 'Farm C'); INSERT INTO IotDevice (id, name, farm_id) VALUES (1, 'Device 1', 3), (2, 'Device 2', 3); | What is the number of IoT devices in farm C? | SELECT COUNT(*) FROM IotDevice WHERE farm_id = (SELECT id FROM Farm WHERE name = 'Farm C'); | gretelai_synthetic_text_to_sql |
CREATE TABLE production_data_2 (year INT, company_name TEXT, element TEXT, quantity INT); INSERT INTO production_data_2 (year, company_name, element, quantity) VALUES (2018, 'RST Mining', 'Gadolinium', 1200), (2019, 'STW Mining', 'Gadolinium', 1500), (2020, 'TUV Mining', 'Gadolinium', 1800); | Update all records related to Gadolinium production in the production_data_2 table to 1000 metric tons? | UPDATE production_data_2 SET quantity = 1000 WHERE element = 'Gadolinium'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Bridge_Inspections (inspection_id INT, bridge_name VARCHAR(50), bridge_type VARCHAR(50), inspection_date DATE); | Calculate the average inspection frequency for all bridges in the Bridge_Inspections table | SELECT AVG(DATEDIFF(inspection_date, LAG(inspection_date) OVER (PARTITION BY bridge_name ORDER BY inspection_date))) FROM Bridge_Inspections WHERE bridge_type = 'Bridge'; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT, name VARCHAR(255), system_type VARCHAR(255)); INSERT INTO farmers (id, name, system_type) VALUES (1, 'Jane Doe', 'Urban Agriculture'); INSERT INTO farmers (id, name, system_type) VALUES (2, 'John Smith', 'Agroecology'); INSERT INTO farmers (id, name, system_type) VALUES (3, 'Maria Garcia',... | Which farmers have the highest revenue from urban agriculture? | SELECT farmers.name, MAX(farmer_revenue.revenue) as highest_revenue FROM farmers JOIN farmer_revenue ON farmers.id = farmer_revenue.farmer_id WHERE farmers.system_type = 'Urban Agriculture' GROUP BY farmers.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE student_mental_health (student_id INT, mental_health_score INT, school_district VARCHAR(255), date DATE); INSERT INTO student_mental_health (student_id, mental_health_score, school_district, date) VALUES (1, 75, 'ABC School District', '2022-02-01'); CREATE VIEW winter_2022_smh AS SELECT * FROM student_ment... | What is the minimum mental health score of students in 'Winter 2022' by school district? | SELECT MIN(mental_health_score) as min_mental_health, school_district FROM winter_2022_smh GROUP BY school_district; | gretelai_synthetic_text_to_sql |
CREATE TABLE AdvocacyEvents (EventID INT, EventName VARCHAR(50), EventDate DATETIME); INSERT INTO AdvocacyEvents (EventID, EventName, EventDate) VALUES (1, 'Event A', '2021-01-01'), (2, 'Event B', '2021-02-01'), (3, 'Event C', '2021-07-01'), (4, 'Event D', '2021-08-01'); | Delete the record of the disability policy advocacy event that took place on 2021-07-01. | DELETE FROM AdvocacyEvents WHERE EventDate = '2021-07-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MusicEvents (id INT, name VARCHAR(255), country VARCHAR(255), UNIQUE (id)); CREATE TABLE Performers (id INT, name VARCHAR(255), music_event_id INT, UNIQUE (id), FOREIGN KEY (music_event_id) REFERENCES MusicEvents(id)); CREATE TABLE Attendance (id INT, music_event_id INT, year INT, attendees INT, UNIQUE (id... | Identify traditional music events in Mexico with more than 3 performers and an average attendance greater than 50 in the last 3 years. | SELECT me.name FROM MusicEvents me JOIN Performers p ON me.id = p.music_event_id JOIN Attendance a ON me.id = a.music_event_id WHERE me.country = 'Mexico' GROUP BY me.name HAVING COUNT(DISTINCT p.id) > 3 AND AVG(a.attendees) > 50 AND a.year BETWEEN 2020 AND 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, technology VARCHAR(20), region VARCHAR(50), daily_data_usage INT); INSERT INTO mobile_subscribers (subscriber_id, technology, region, daily_data_usage) VALUES (1, '4G', 'North', 1000), (2, '5G', 'North', 2000), (3, '3G', 'South', 1500), (4, '5G', 'East', 2500), (5, '5... | What is the average daily data usage by mobile subscribers for each technology in the Southern region? | SELECT technology, region, AVG(daily_data_usage) AS avg_daily_data_usage FROM mobile_subscribers WHERE region = 'South' GROUP BY technology, region; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, drug_name TEXT, sale_region TEXT, sale_amount INT, sale_date DATE); INSERT INTO sales (sale_id, drug_name, sale_region, sale_amount, sale_date) VALUES (1, 'DrugA', 'Europe', 1500000, '2020-01-01'), (2, 'DrugA', 'US', 2000000, '2020-12-31'), (3, 'DrugB', 'Europe', 1200000, '2020-07-04'); | What is the total sales amount for a specific drug in a given region for the year 2020? | SELECT SUM(sale_amount) FROM sales WHERE drug_name = 'DrugA' AND sale_region = 'Europe' AND sale_date >= '2020-01-01' AND sale_date <= '2020-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if NOT EXISTS iot_sensors_2 (id int, location varchar(50), temperature float, timestamp datetime); INSERT INTO iot_sensors_2 (id, location, temperature, timestamp) VALUES (1, 'Australia', 18.2, '2022-03-15 10:00:00'); | What is the minimum temperature recorded by IoT sensors in Australia in the last week? | SELECT MIN(temperature) FROM iot_sensors_2 WHERE location = 'Australia' AND timestamp >= DATE_SUB(NOW(), INTERVAL 1 WEEK); | gretelai_synthetic_text_to_sql |
CREATE TABLE region_waste (region VARCHAR(50), year INT, waste_amount FLOAT); INSERT INTO region_waste (region, year, waste_amount) VALUES ('Asia', 2021, 500.5), ('Europe', 2021, 450.2), ('Africa', 2021, 300.1), ('Australia', 2021, 250.6), ('North America', 2021, 200.9), ('Asia', 2021, 550.7), ('Europe', 2021, 475.3), ... | Get the top three regions with the highest chemical waste production in 2021 and the total waste produced. | SELECT region, SUM(waste_amount) as total_waste FROM region_waste WHERE year = 2021 GROUP BY region ORDER BY total_waste DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE movie (id INT, title VARCHAR(255), genre VARCHAR(255), country VARCHAR(255)); INSERT INTO movie (id, title, genre, country) VALUES (1, 'Movie1', 'Comedy', 'Spain'), (2, 'Movie2', 'Drama', 'France'), (3, 'Movie3', 'Action', 'Germany'), (4, 'Movie4', 'Adventure', 'Germany'); | What are the names of the movies and their genres for movies produced in Germany? | SELECT title, genre FROM movie WHERE country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE animal_info (animal_id INT, conservation_status VARCHAR(20)); INSERT INTO animal_info (animal_id, conservation_status) VALUES (1, 'endangered'), (2, 'vulnerable'), (3, 'threatened'), (4, 'endangered'), (5, 'vulnerable'); | List all unique conservation statuses in the 'animal_info' table | SELECT DISTINCT conservation_status FROM animal_info; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists_nma (id INT, name VARCHAR(50), country VARCHAR(30)); INSERT INTO artists_nma (id, name, country) VALUES (1, 'Artist1', 'USA'), (2, 'Artist2', 'Canada'), (3, 'Artist3', 'Mexico'); CREATE TABLE countries (id INT, country VARCHAR(30), capital VARCHAR(30)); INSERT INTO countries (id, country, capital) ... | Find the number of artists from each country, who have been awarded the National Medal of Arts, and the name of the country's capital. | SELECT c.capital, a.country, COUNT(a.id) as artist_count FROM artists_nma a JOIN countries c ON a.country = c.country GROUP BY a.country, c.capital; | gretelai_synthetic_text_to_sql |
CREATE TABLE cause_average (cause VARCHAR(50), country VARCHAR(50), donation DECIMAL(10,2)); INSERT INTO cause_average (cause, country, donation) VALUES ('Global Health', 'Nigeria', 500.00), ('Education', 'South Africa', 600.00), ('Environment', 'Kenya', 700.00), ('Animal Welfare', 'Tanzania', 800.00); | What is the average donation amount for each cause in Sub-Saharan Africa? | SELECT cause, AVG(donation) FROM cause_average WHERE country IN ('Nigeria', 'South Africa', 'Kenya', 'Tanzania') GROUP BY cause; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(100), publication_date DATE); | What is the total number of news articles published in the "articles" table by year? | SELECT EXTRACT(YEAR FROM publication_date) AS year, COUNT(*) AS num_articles FROM articles GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE cyber_strategies (id INT, strategy VARCHAR(255), implementation_date DATE); INSERT INTO cyber_strategies (id, strategy, implementation_date) VALUES (1, 'Next-gen firewalls', '2020-01-01'), (2, 'AI-driven threat hunting', '2021-04-15'), (3, 'Zero Trust framework', '2019-07-22'), (4, 'Encrypted communication... | Which cybersecurity strategies were implemented in the last 3 years? | SELECT strategy, YEAR(implementation_date) as year FROM cyber_strategies WHERE implementation_date >= DATE(NOW()) - INTERVAL 3 YEAR; | gretelai_synthetic_text_to_sql |
CREATE TABLE olympics (athlete TEXT, country TEXT, medal TEXT); | What is the total number of medals won by athletes from Japan in the Olympics? | SELECT SUM(CASE WHEN medal = 'Gold' THEN 1 WHEN medal = 'Silver' THEN 0.5 WHEN medal = 'Bronze' THEN 0.25 ELSE 0 END) as total_medals FROM olympics WHERE country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Region_Sales (region TEXT, revenue FLOAT); INSERT INTO Region_Sales (region, revenue) VALUES ('North', 50000), ('South', 60000); | What is the total revenue for each region in the 'Region_Sales' table? | SELECT region, SUM(revenue) FROM Region_Sales GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_debris (country TEXT, category TEXT, mass FLOAT); INSERT INTO space_debris (country, category, mass) VALUES ('USA', 'Aluminum', 120.5), ('USA', 'Titanium', 170.1), ('Russia', 'Aluminum', 150.2), ('Russia', 'Titanium', 180.1), ('China', 'Copper', 100.1), ('China', 'Steel', 250.7); | What is the average mass of space debris by country? | SELECT country, AVG(mass) AS avg_mass FROM space_debris GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (id INT, attorney_firm VARCHAR(255), date DATE, revenue FLOAT); INSERT INTO cases (id, attorney_firm, date, revenue) VALUES (1, 'Smith & Johnson', '2021-01-01', 5000.00), (2, 'Smith & Johnson', '2021-02-01', 7000.00), (3, 'Smith & Johnson', '2021-03-01', 6000.00); | What is the total revenue for cases handled by Smith & Johnson in the last quarter? | SELECT SUM(revenue) FROM cases WHERE attorney_firm = 'Smith & Johnson' AND date >= DATE_SUB('2021-04-01', INTERVAL 3 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE CulturalCompetency (WorkerID INT, WorkerName VARCHAR(100), State VARCHAR(2), Score INT); INSERT INTO CulturalCompetency (WorkerID, WorkerName, State, Score) VALUES (1, 'Michael Johnson', 'California', 85); | What is the total cultural competency score for health workers in California? | SELECT SUM(Score) FROM CulturalCompetency WHERE State = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (title VARCHAR(255), publication_date DATE, topic VARCHAR(50), channel VARCHAR(50)); INSERT INTO articles (title, publication_date, topic, channel) VALUES ('Immigration policies in the EU', '2022-01-05', 'immigration', 'Al Jazeera'), ('Immigration trends in the US', '2022-01-10', 'immigration', 'A... | What is the earliest publication date of articles about 'immigration' published by 'Al Jazeera' in 2022? | SELECT MIN(publication_date) FROM articles WHERE channel = 'Al Jazeera' AND topic = 'immigration' AND publication_date BETWEEN '2022-01-01' AND '2022-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE arctic_ocean (id INT, marine_species_count INT); INSERT INTO arctic_ocean (id, marine_species_count) VALUES (1, 2000); | How many marine species are there in the Arctic Ocean? | SELECT marine_species_count FROM arctic_ocean WHERE id = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Genres (GenreID INT, Genre VARCHAR(20)); CREATE TABLE Games (GameID INT, GameName VARCHAR(50), GenreID INT); CREATE TABLE GamePlayer (PlayerID INT, GameID INT); CREATE TABLE Players (PlayerID INT, Age INT, Gender VARCHAR(10)); | List the top 5 most popular game genres based on the number of unique players who have played games in each genre, and the average age of these players. | SELECT Genres.Genre, COUNT(DISTINCT GamePlayer.PlayerID) AS NumPlayers, AVG(Players.Age) AS AvgAge FROM Genres INNER JOIN Games ON Genres.GenreID = Games.GenreID INNER JOIN GamePlayer ON Games.GameID = GamePlayer.GameID INNER JOIN Players ON GamePlayer.PlayerID = Players.PlayerID GROUP BY Genres.Genre ORDER BY NumPlaye... | gretelai_synthetic_text_to_sql |
CREATE TABLE monitoring_stations (id INT, name TEXT, location TEXT); INSERT INTO monitoring_stations (id, name, location) VALUES (1, 'Station A', 'Coast of California'), (2, 'Station B', 'Seattle Coast'), (3, 'Station C', 'Florida Keys'); CREATE TABLE oxygen_readings (id INT, station_id INT, reading DATE, level DECIMAL... | List the top 2 oxygen monitoring stations with the lowest average dissolved oxygen levels in the last 6 months? | SELECT station_id, AVG(level) avg_oxygen FROM oxygen_readings WHERE reading >= DATEADD(month, -6, CURRENT_DATE) GROUP BY station_id ORDER BY avg_oxygen ASC FETCH FIRST 2 ROWS ONLY; | gretelai_synthetic_text_to_sql |
CREATE TABLE equipment_maintenance (equipment_type VARCHAR(50), maintenance_date DATE, maintenance_cost DECIMAL(10,2)); | Delete records of military equipment maintenance for 'Type E-7' helicopters | DELETE FROM equipment_maintenance WHERE equipment_type = 'Type E-7'; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemicals (chemical_id INT, chemical_name VARCHAR(50)); CREATE TABLE safety_incidents (incident_id INT, chemical_id INT, incident_date DATE); INSERT INTO chemicals (chemical_id, chemical_name) VALUES (1, 'Chemical A'), (2, 'Chemical B'); INSERT INTO safety_incidents (incident_id, chemical_id, incident_date... | How many safety incidents were recorded for each chemical in the past 6 months? | SELECT chemicals.chemical_name, COUNT(safety_incidents.incident_id) FROM chemicals LEFT JOIN safety_incidents ON chemicals.chemical_id = safety_incidents.chemical_id WHERE safety_incidents.incident_date >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH) GROUP BY chemicals.chemical_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE rfsa_missions (id INT, mission_name VARCHAR(255), launch_date DATE, destination VARCHAR(255)); INSERT INTO rfsa_missions (id, mission_name, launch_date, destination) VALUES (1, 'Luna 2', '1959-09-12', 'Moon'); | How many missions has the Russian Federal Space Agency launched to the Moon? | SELECT COUNT(*) FROM rfsa_missions WHERE destination = 'Moon'; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (id INT, incident_type VARCHAR(50), incident_date DATE); | Determine the number of security incidents caused by insider threats in the past month | SELECT COUNT(*) as num_incidents FROM security_incidents WHERE incident_type = 'insider threat' AND incident_date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_diplomacy (initiative_id INT, initiative_name TEXT, initiative_description TEXT, country1 TEXT, country2 TEXT, status TEXT); INSERT INTO defense_diplomacy (initiative_id, initiative_name, initiative_description, country1, country2, status) VALUES (1, 'Joint Military Exercise', 'Annual military exer... | What is the current status of defense diplomacy initiatives between the USA and Canada? | SELECT defense_diplomacy.status FROM defense_diplomacy WHERE defense_diplomacy.country1 = 'USA' AND defense_diplomacy.country2 = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE salesperson (id INT, name VARCHAR(50), region VARCHAR(50)); INSERT INTO salesperson (id, name, region) VALUES (1, 'John Doe', 'North'), (2, 'Jane Smith', 'South'); CREATE TABLE orders (id INT, salesperson_id INT, size INT); INSERT INTO orders (id, salesperson_id, size) VALUES (1, 1, 10), (2, 1, 15), (3, 2,... | What is the average order size for each salesperson? | SELECT salesperson_id, AVG(size) as avg_order_size FROM orders GROUP BY salesperson_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE songs (song_id INT, title TEXT, release_year INT, artist_id INT, popularity INT); CREATE TABLE artists (artist_id INT, name TEXT); | What is the average popularity of songs released in the 80s and 90s for each artist? | SELECT a.name, AVG(s.popularity) FROM songs s JOIN artists a ON s.artist_id = a.artist_id WHERE s.release_year BETWEEN 1980 AND 1999 GROUP BY a.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE drug_approvals (approval_id INT, drug_name TEXT, approval_time INT, region TEXT); INSERT INTO drug_approvals (approval_id, drug_name, approval_time, region) VALUES (1, 'DrugG', 180, 'Asia'), (2, 'DrugH', 210, 'Asia'); | What is the minimum drug approval time for drugs in Asia? | SELECT region, MIN(approval_time) as min_approval_time FROM drug_approvals WHERE region = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE categories (id INT, name TEXT); CREATE TABLE orders (id INT, category_id INT, order_date DATE); | List the top 3 categories with the highest number of orders in the past month. | SELECT c.name, COUNT(*) as num_orders FROM categories c JOIN orders o ON c.id = o.category_id WHERE order_date BETWEEN DATE_SUB(NOW(), INTERVAL 1 MONTH) AND NOW() GROUP BY c.name ORDER BY num_orders DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Forests (Fid INT PRIMARY KEY, Name VARCHAR(50), Country VARCHAR(50), Area FLOAT); CREATE TABLE Carbon (Cid INT PRIMARY KEY, Fid INT, Year INT, Sequestration FLOAT, FOREIGN KEY (Fid) REFERENCES Forests(Fid)); | What are the names of forests in India and their respective carbon sequestration amounts for each year? | SELECT Forests.Name, Carbon.Year, SUM(Carbon.Sequestration) FROM Forests FULL OUTER JOIN Carbon ON Forests.Fid = Carbon.Fid WHERE Forests.Country = 'India' GROUP BY Carbon.Year, Forests.Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (rep_id INT, date DATE, sales FLOAT); INSERT INTO sales (rep_id, date, sales) VALUES (1, '2021-01-01', 500), (1, '2021-02-01', 600), (1, '2021-03-01', 700), (1, '2021-04-01', 800), (1, '2021-05-01', 900), (1, '2021-06-01', 1000), (2, '2021-01-01', 400), (2, '2021-02-01', 500), (2, '2021-03-01', 600),... | What is the average monthly sales amount per sales representative for the first half of the year? | SELECT rep_id, AVG(sales) as avg_monthly_sales FROM sales WHERE date BETWEEN '2021-01-01' AND '2021-06-30' GROUP BY rep_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE customer_support (customer_id INT, name VARCHAR(50), email VARCHAR(50), used_ai_chatbot BOOLEAN); | How many AI-powered chatbot users are there in the customer_support table? | SELECT COUNT(*) FROM customer_support WHERE used_ai_chatbot = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, volunteer_name VARCHAR(50), program_id INT, volunteer_date DATE); CREATE TABLE programs (program_id INT, program_name VARCHAR(50)); | How many volunteers engaged in programs in Q1 of 2022? | SELECT COUNT(DISTINCT volunteer_id) FROM volunteers WHERE QUARTER(volunteer_date) = 1 AND YEAR(volunteer_date) = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE tennis_gs (tournament VARCHAR(50), year INT, prize_money INT); INSERT INTO tennis_gs VALUES ('Australian Open', 2021, 62000000), ('French Open', 2021, 44000000), ('Wimbledon', 2021, 41900000), ('US Open', 2021, 57700000); | What was the total prize money awarded in the last three Men's Tennis Grand Slams? | SELECT SUM(prize_money) FROM tennis_gs WHERE tournament IN ('Australian Open', 'French Open', 'Wimbledon') AND year >= 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name VARCHAR(100), sales INT); INSERT INTO products VALUES (1, 'Mascara', 5000), (2, 'Lipstick', 7000), (3, 'Foundation', 6000); | What are the total sales of cosmetic products in the database? | SELECT SUM(sales) FROM products; | gretelai_synthetic_text_to_sql |
CREATE TABLE PublicWorksB(id INT, project VARCHAR(30), budget DECIMAL(10,2)); INSERT INTO PublicWorksB(id, project, budget) VALUES (1, 'Highway Construction', 800000.00), (2, 'Airport Expansion', 3000000.00); | What is the maximum budget for any public works project? | SELECT MAX(budget) FROM PublicWorksB; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_offset_programs (project_id INT, state VARCHAR(20), carbon_offsets FLOAT); INSERT INTO carbon_offset_programs (project_id, state, carbon_offsets) VALUES (1, 'Florida', 1200.5), (2, 'California', 1800.75), (3, 'Florida', 2500.33); | Find the total carbon offset by project in Florida | SELECT project_id, SUM(carbon_offsets) FROM carbon_offset_programs WHERE state = 'Florida' GROUP BY project_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE public.crime_statistics (id serial PRIMARY KEY, city varchar(255), year int, num_crimes int); INSERT INTO public.crime_statistics (city, year, num_crimes) VALUES ('Houston', 2019, 30000), ('Houston', 2020, 35000); | What is the total number of crimes reported in the city of Houston in the year 2019 and 2020? | SELECT SUM(num_crimes) FROM public.crime_statistics WHERE city = 'Houston' AND (year = 2019 OR year = 2020); | gretelai_synthetic_text_to_sql |
CREATE TABLE budget (dept VARCHAR(50), program VARCHAR(50), amount INT); | Add a new record for 'Assistive Listening Devices' program with a budget of $60,000 in the 'Disability Services' department. | INSERT INTO budget (dept, program, amount) VALUES ('Disability Services', 'Assistive Listening Devices', 60000); | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (worker_id INT, name VARCHAR(255), location VARCHAR(255), language VARCHAR(255), years_experience INT); INSERT INTO community_health_workers (worker_id, name, location, language, years_experience) VALUES (1, 'Ana Flores', 'Los Angeles, CA', 'Spanish', 10), (2, 'Han Kim', 'Seattle, ... | What is the distribution of community health workers by their years of experience, partitioned by the languages they speak? | SELECT worker_id, language, years_experience, COUNT(*) OVER(PARTITION BY language, years_experience) as count FROM community_health_workers; | gretelai_synthetic_text_to_sql |
CREATE TABLE GarmentMaterials (id INT, garment_id INT, material VARCHAR(20));CREATE TABLE Garments (id INT, name VARCHAR(50)); INSERT INTO GarmentMaterials (id, garment_id, material) VALUES (1, 1001, 'organic_cotton'), (2, 1002, 'recycled_polyester'), (3, 1003, 'organic_cotton'), (4, 1004, 'hemp'), (5, 1005, 'organic_c... | How many garments are made of each material? | SELECT material, COUNT(DISTINCT garment_id) as garment_count FROM GarmentMaterials GROUP BY material; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (id INT, name TEXT, region TEXT, billing_amount DECIMAL(10, 2)); INSERT INTO clients (id, name, region, billing_amount) VALUES (1, 'David', 'toronto', 500.00), (2, 'Ella', 'toronto', 600.00), (3, 'Fiona', 'toronto', 700.00); | What is the total billing amount for clients in the 'toronto' region? | SELECT SUM(billing_amount) FROM clients WHERE region = 'toronto'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artisans (ArtisanID INT PRIMARY KEY, Name VARCHAR(100), Specialty VARCHAR(50), Nation VARCHAR(50)); INSERT INTO Artisans (ArtisanID, Name, Specialty, Nation) VALUES (1, 'Fatu Koroma', 'Pottery', 'Sierra Leone'), (2, 'Ali Omar', 'Weaving', 'Somalia'); | Who are the Indigenous artisans from Africa specializing in pottery? | SELECT Name FROM Artisans WHERE Specialty = 'Pottery' AND Nation = 'Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (well_id VARCHAR(2), date DATE, quantity FLOAT); INSERT INTO production (well_id, date, quantity) VALUES ('W1', '2021-01-01', 100.0), ('W1', '2021-01-02', 120.0), ('W2', '2021-01-01', 150.0); | Find the total production quantity for well 'W2' in January 2021 | SELECT SUM(quantity) FROM production WHERE well_id = 'W2' AND date >= '2021-01-01' AND date < '2021-02-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE road_sections (id INT, section_name VARCHAR(50), location VARCHAR(50)); INSERT INTO road_sections (id, section_name, location) VALUES (1, 'Section 1', 'Urban'), (2, 'Section 2', 'Rural'), (3, 'Section 3', 'Urban'); | How many 'road_sections' are there in 'Rural' locations? | SELECT COUNT(*) FROM road_sections WHERE location = 'Rural'; | gretelai_synthetic_text_to_sql |
CREATE TABLE incident_severity (id INT, incident_count INT, severity VARCHAR(50), incident_date DATE); INSERT INTO incident_severity (id, incident_count, severity, incident_date) VALUES (1, 12, 'Low', '2022-03-01'), (2, 20, 'Medium', '2022-03-02'), (3, 30, 'High', '2022-03-03'); | Show the number of security incidents for each severity level in the last month. | SELECT severity, SUM(incident_count) as total_incidents FROM incident_severity WHERE incident_date >= DATE_SUB(CURDATE(), INTERVAL 1 MONTH) GROUP BY severity; | gretelai_synthetic_text_to_sql |
CREATE TABLE product_safety_records (id INT PRIMARY KEY, product_id INT, safety_rating INT, last_inspection_date DATE); INSERT INTO product_safety_records (id, product_id, safety_rating, last_inspection_date) VALUES (1, 1, 5, '2021-06-15'); CREATE TABLE products (id INT PRIMARY KEY, name TEXT, brand TEXT); INSERT INTO ... | What is the safety rating of the product named "Aloe Vera Lotion" from the brand "PureNature"? | SELECT safety_rating FROM product_safety_records WHERE product_id = (SELECT id FROM products WHERE name = 'Aloe Vera Lotion' AND brand = 'PureNature') | gretelai_synthetic_text_to_sql |
CREATE TABLE humanitarian_assistance_oceania (country VARCHAR(50), year INT, budget INT); INSERT INTO humanitarian_assistance_oceania (country, year, budget) VALUES ('Australia', 2021, 1200000), ('New Zealand', 2021, 1100000), ('Papua New Guinea', 2021, 900000); | What is the total humanitarian assistance budget for Oceania countries in 2021? | SELECT SUM(budget) total_budget FROM humanitarian_assistance_oceania WHERE country IN ('Australia', 'New Zealand', 'Papua New Guinea') AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA gov_schema;CREATE TABLE gov_schema.budget_allocation (year INT, service VARCHAR(20), amount INT);INSERT INTO gov_schema.budget_allocation (year, service, amount) VALUES (2020, 'Healthcare', 20000000), (2020, 'Education', 15000000); | What is the total budget allocated for healthcare and education services in 2020? | SELECT SUM(amount) FROM gov_schema.budget_allocation WHERE year = 2020 AND (service = 'Healthcare' OR service = 'Education'); | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, customer_name VARCHAR(50)); INSERT INTO customers VALUES (1, 'James Doe'), (2, 'Jane Smith'), (3, 'Alice Johnson'); CREATE TABLE orders (order_id INT, customer_id INT, menu_id INT, order_date DATE, total_cost DECIMAL(5,2)); INSERT INTO orders VALUES (1, 1, 1, '2022-01-01', 25.00... | Who is the customer with the highest spending on vegan dishes? | SELECT customers.customer_name, SUM(orders.total_cost) as total_spent FROM customers INNER JOIN orders ON customers.customer_id = orders.customer_id INNER JOIN menu ON orders.menu_id = menu.menu_id WHERE menu.is_vegan = true GROUP BY customers.customer_name ORDER BY total_spent DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Military_Equipment_Sales(id INT, sale_date DATE, country VARCHAR(50), equipment_type VARCHAR(50), sale_value FLOAT); INSERT INTO Military_Equipment_Sales(id, sale_date, country, equipment_type, sale_value) VALUES (1, '2020-01-01', 'USA', 'Naval', 70000000); | What is the average sale value per equipment type? | SELECT equipment_type, AVG(sale_value) FROM Military_Equipment_Sales GROUP BY equipment_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE bioprocess_engineering(id INT, project VARCHAR(50), country VARCHAR(50), budget DECIMAL(10,2)); INSERT INTO bioprocess_engineering VALUES (1, 'ProjectA', 'USA', 3000000.00), (2, 'ProjectB', 'Canada', 5000000.00), (3, 'ProjectC', 'Mexico', 4000000.00); | What is the maximum budget for a bioprocess engineering project in each country? | SELECT country, MAX(budget) FROM bioprocess_engineering GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE well_prod (well_name VARCHAR(50), location VARCHAR(50), rate FLOAT); INSERT INTO well_prod (well_name, location, rate) VALUES ('Well A', 'Marcellus Shale', 1200), ('Well B', 'Marcellus Shale', 1800); | What is the minimum production rate for wells in the Marcellus Shale? | SELECT MIN(rate) FROM well_prod WHERE location = 'Marcellus Shale'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_protected_areas (name TEXT, location TEXT, avg_depth REAL); INSERT INTO marine_protected_areas (name, location, avg_depth) VALUES ('Galapagos Islands Marine Reserve', 'Ecuador', '2500'), ('Great Barrier Reef Marine Park', 'Australia', '180'); | Calculate the average depth of all marine protected areas. | SELECT AVG(avg_depth) FROM marine_protected_areas; | gretelai_synthetic_text_to_sql |
CREATE TABLE access_tech (name TEXT, budget INTEGER, launch_year INTEGER, accessible TEXT); INSERT INTO access_tech (name, budget, launch_year, accessible) VALUES ('AccTech1', 500000, 2022, 'yes'), ('AccTech2', 600000, 2022, 'yes'), ('AccTech3', 400000, 2021, 'no'); | What is the average budget for accessible technology projects launched in 2022? | SELECT AVG(budget) FROM access_tech WHERE launch_year = 2022 AND accessible = 'yes'; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_efficiency_asia (id INT, country VARCHAR(255), efficiency FLOAT); INSERT INTO energy_efficiency_asia (id, country, efficiency) VALUES (1, 'Japan', 0.35), (2, 'China', 0.32), (3, 'South Korea', 0.31), (4, 'India', 0.29); | What is the energy efficiency of the top 3 countries in Asia? | SELECT country, efficiency FROM energy_efficiency_asia ORDER BY efficiency DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE billing (attorney_id INT, client_id INT, hours_billed INT, billing_rate DECIMAL(5,2)); | Show total hours billed and total billing amount for each attorney in 'billing' table | SELECT attorney_id, SUM(hours_billed), SUM(hours_billed * billing_rate) FROM billing GROUP BY attorney_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (attorney_id INT, name VARCHAR(50), start_date DATE); INSERT INTO attorneys (attorney_id, name, start_date) VALUES (1, 'John Doe', '2020-01-01'); INSERT INTO attorneys (attorney_id, name, start_date) VALUES (2, 'Jane Smith', '2019-06-15'); CREATE TABLE cases (case_id INT, attorney_id INT, open_da... | How many cases were opened by each attorney in 2020? | SELECT attorney_id, COUNT(case_id) as cases_opened FROM cases WHERE YEAR(open_date) = 2020 GROUP BY attorney_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT, name VARCHAR(50), age INT, location VARCHAR(50)); INSERT INTO farmers (id, name, age, location) VALUES (1, 'John Doe', 45, 'Ruralville'); INSERT INTO farmers (id, name, age, location) VALUES (2, 'Jane Smith', 50, 'Farmtown'); | What is the average age of farmers in the 'farmers' table? | SELECT AVG(age) FROM farmers; | gretelai_synthetic_text_to_sql |
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