context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE dives (dive_id INT, diver_id INT, location VARCHAR(50), depth FLOAT, duration INT); INSERT INTO dives (dive_id, diver_id, location, depth, duration) VALUES (1, 1001, 'Great Barrier Reef', 35.4, 60); | What is the maximum depth (in meters) reached by a dive in the 'dives' table? | SELECT MAX(depth) FROM dives; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_investment (country VARCHAR(50), region VARCHAR(50), investment_type VARCHAR(50), year INT, investment_amount INT); INSERT INTO climate_investment (country, region, investment_type, year, investment_amount) VALUES ('Country A', 'Caribbean SIDS', 'Adaptation', 2017, 1000000); INSERT INTO climate_inv... | What is the average annual investment in climate adaptation for small island developing states (SIDS) in the Caribbean region between 2017 and 2021? | SELECT AVG(investment_amount) FROM climate_investment WHERE region = 'Caribbean SIDS' AND investment_type = 'Adaptation' AND year BETWEEN 2017 AND 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE smart_cities (city_id INT, city_name VARCHAR(255), state VARCHAR(255), country VARCHAR(255), focus VARCHAR(255)); | Insert a new record of a smart city initiative in the city of Berlin with a focus on energy efficiency. | INSERT INTO smart_cities (city_id, city_name, state, country, focus) VALUES (1, 'Smart City 1', 'Berlin', 'Germany', 'Energy Efficiency'); | gretelai_synthetic_text_to_sql |
CREATE TABLE NYCPublicTransportation (id INT, date DATE, mode VARCHAR(20), ridership INT); | What is the daily ridership of public transportation in New York City by mode? | SELECT mode, SUM(ridership) FROM NYCPublicTransportation WHERE date = '2022-03-01' GROUP BY mode; | gretelai_synthetic_text_to_sql |
CREATE TABLE audience_demographics (user_id INT, age INT); INSERT INTO audience_demographics (user_id, age) VALUES (1, 25), (2, 45), (3, 35), (4, 19), (5, 60); | What is the distribution of audience demographics by age group in 'audience_demographics' table? | SELECT CASE WHEN age < 30 THEN '18-29' WHEN age < 45 THEN '30-44' WHEN age < 60 THEN '45-59' ELSE '60+' END AS age_group, COUNT(*) FROM audience_demographics GROUP BY age_group; | gretelai_synthetic_text_to_sql |
CREATE TABLE conservation_initiatives (id INT, initiative VARCHAR(255), species VARCHAR(255), region VARCHAR(255)); INSERT INTO conservation_initiatives (id, initiative, species, region) VALUES (1, 'Ice Cap Mapping', 'Polar Bear', 'Arctic'), (2, 'Beach Cleanup', 'Dolphin', 'Pacific'), (3, 'Coral Restoration', 'Clownfis... | List all regions and their corresponding conservation initiatives. | SELECT region, initiative FROM conservation_initiatives; | gretelai_synthetic_text_to_sql |
CREATE TABLE military_equipment (equipment_type VARCHAR(255), quantity INT); | What is the total number of military equipment records for each type in the military_equipment table? | SELECT equipment_type, SUM(quantity) FROM military_equipment GROUP BY equipment_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE diseases (disease_id INT, disease_name VARCHAR(50)); INSERT INTO diseases (disease_id, disease_name) VALUES (1, 'Disease A'), (2, 'Disease B'); CREATE TABLE counties (county_id INT, county_name VARCHAR(50), state_abbr CHAR(2), rural BOOLEAN); INSERT INTO counties (county_id, county_name, state_abbr, rural)... | Add new disease prevalence records for 2022 Q1-Q4 for a rural county. | INSERT INTO disease_prevalence (disease_id, county_id, year, q1, q2, q3, q4) VALUES (1, 1, 2022, 10.5, 11.3, 12.1, 12.9), (2, 1, 2022, 15.2, 16.1, 17.3, 18.2); | gretelai_synthetic_text_to_sql |
CREATE TABLE TerbiumProduction (country VARCHAR(20), year INT, quantity INT); INSERT INTO TerbiumProduction (country, year, quantity) VALUES ('China', 2018, 120), ('China', 2019, 150); | What is the total production quantity of terbium in China for the year 2018? | SELECT SUM(quantity) FROM TerbiumProduction WHERE country = 'China' AND year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE cosmetics_sales (product_id INT, product_name TEXT, is_cruelty_free BOOLEAN, country TEXT); | What are the most commonly purchased cruelty-free cosmetic products by consumers in the United States? | SELECT product_name FROM cosmetics_sales WHERE is_cruelty_free = TRUE AND country = 'United States' GROUP BY product_name ORDER BY COUNT(*) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE lithium_mines (id INT, name TEXT, location TEXT, depth FLOAT); INSERT INTO lithium_mines (id, name, location, depth) VALUES (1, 'Salar de Uyuni', 'Potosi, Bolivia', 360), (2, 'Salar de Coipasa', 'Oruro, Bolivia', 340), (3, 'Pozuelos', 'Oruro, Bolivia', 320); | What is the maximum depth of lithium mines in Bolivia? | SELECT MAX(depth) FROM lithium_mines WHERE location LIKE '%Bolivia%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (game_id INT, date DATE, team1 TEXT, team2 TEXT, points1 INT, points2 INT); | What is the average number of points scored by a team in a single NBA game? | SELECT AVG(points1 + points2) FROM games; | gretelai_synthetic_text_to_sql |
CREATE TABLE Space_Mission_Table (id INT, mission_name VARCHAR(100), mission_success BOOLEAN); | What are the names of all the successful space missions? | SELECT MISSION_NAME FROM Space_Mission_Table WHERE MISSION_SUCCESS = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_id INT, donation_date DATE, donation_amount DECIMAL); INSERT INTO donations (id, donor_id, donation_date, donation_amount) VALUES (1, 1, '2019-01-01', 50.00), (2, 2, '2018-01-01', 100.00), (3, 3, '2019-12-31', 25.00); | What is the total amount of donations made in the year 2019? | SELECT SUM(donation_amount) FROM donations WHERE YEAR(donation_date) = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (id INT, name VARCHAR(255), country VARCHAR(255)); CREATE TABLE products (id INT, name VARCHAR(255), organic BOOLEAN, weight FLOAT, supplier_id INT); | Find the number of suppliers that supply organic products and their average weight. | SELECT s.name, COUNT(p.id) as num_suppliers, AVG(p.weight) as avg_weight FROM suppliers s INNER JOIN products p ON s.id = p.supplier_id WHERE p.organic = 't' GROUP BY s.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE StreamingRevenue (id INT, year INT, quarter INT, genre VARCHAR(50), revenue FLOAT); | What is the total revenue generated by streaming platforms for Jazz music in Q1 2021? | SELECT SUM(revenue) FROM StreamingRevenue WHERE year = 2021 AND quarter = 1 AND genre = 'Jazz'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if NOT EXISTS animal_population (animal_id INT, animal_name VARCHAR(50), conservation_status VARCHAR(20)); INSERT INTO animal_population (animal_id, animal_name, conservation_status) VALUES (1, 'Giant Panda', 'Vulnerable'); INSERT INTO animal_population (animal_id, animal_name, conservation_status) VALUES ... | What is the total number of animals in the animal_population table and the total number of habitats? | SELECT COUNT(*) FROM animal_population UNION ALL SELECT COUNT(DISTINCT habitat_id) FROM animal_region; | gretelai_synthetic_text_to_sql |
CREATE TABLE field3 (id INT, image_date DATE); INSERT INTO field3 (id, image_date) VALUES (1, '2021-10-20'), (2, '2021-10-22'), (3, '2021-10-25'); | List all satellite images for 'field3' taken in the last week. | SELECT * FROM field3 WHERE image_date >= (CURRENT_DATE - INTERVAL '7 days'); | gretelai_synthetic_text_to_sql |
CREATE TABLE skincare_products (product VARCHAR(255), country VARCHAR(255), cruelty_free BOOLEAN); INSERT INTO skincare_products (product, country, cruelty_free) VALUES ('Cleanser', 'France', true), ('Moisturizer', 'USA', true), ('Exfoliant', 'Canada', false), ('Toner', 'Australia', true); | Which countries do our cruelty-free skincare products come from? | SELECT country FROM skincare_products WHERE cruelty_free = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy (id INT, type TEXT, country TEXT, capacity FLOAT); INSERT INTO renewable_energy (id, type, country, capacity) VALUES (1, 'Wind Turbine', 'Germany', 2.2), (2, 'Solar Panel', 'Spain', 3.2), (3, 'Hydroelectric Power Plant', 'Brazil', 4.5); | Delete all hydroelectric power plants in Brazil. | DELETE FROM renewable_energy WHERE type = 'Hydroelectric Power Plant' AND country = 'Brazil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE indigenous_communities (id INT PRIMARY KEY, community_name TEXT, members INT, year INT); CREATE VIEW community_members_max AS SELECT community_name, MAX(members) AS max_members FROM indigenous_communities WHERE year = 2030 GROUP BY community_name; | Find communities with member count higher than the maximum in 2030 | SELECT community_name FROM indigenous_communities WHERE year = 2030 AND members > (SELECT max_members FROM community_members_max WHERE community_name = 'Sami'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Product (id INT, name VARCHAR(255), category VARCHAR(255), water_usage FLOAT, sale_date DATE); | What is the total water usage for each product category in the last year? | SELECT category, SUM(water_usage) as total_water_usage FROM Product WHERE sale_date >= (CURRENT_DATE - INTERVAL '1 year') GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE CustomerFinancials (CustomerID INT, AccountType VARCHAR(20), Balance DECIMAL(10, 2)); INSERT INTO CustomerFinancials (CustomerID, AccountType, Balance) VALUES (1, 'Asset', 4000.00), (1, 'Liability', 1000.00), (2, 'Asset', 7000.00), (2, 'Liability', 2000.00); | What are the total assets and liabilities for each customer? | SELECT CustomerID, SUM(CASE WHEN AccountType = 'Asset' THEN Balance ELSE -Balance END) AS NetBalance FROM CustomerFinancials GROUP BY CustomerID; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(100), word_count INT, publication_date DATE, category VARCHAR(50)); | What is the maximum number of words in an article from the "investigative" category? | SELECT MAX(word_count) FROM articles WHERE category = 'investigative'; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft (id INT, name VARCHAR(255), launch_country VARCHAR(255), launch_date DATE, max_speed FLOAT); | What is the average speed of the fastest spacecraft launched each year? | SELECT EXTRACT(YEAR FROM launch_date) as launch_year, AVG(max_speed) as avg_speed FROM spacecraft WHERE max_speed = (SELECT MAX(max_speed) FROM spacecraft AS s WHERE spacecraft.launch_year = s.launch_year) GROUP BY launch_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (DonorID INT, DonationDate DATE, Amount DECIMAL(10,2)); INSERT INTO Donations (DonorID, DonationDate, Amount) VALUES (1, '2021-01-01', 500), (2, '2021-02-01', 300), (1, '2021-12-31', 700), (3, '2021-05-15', 400), (3, '2021-07-20', 200); | What is the average donation amount for each donor in 2021? | SELECT DonorID, AVG(Amount) as AvgDonation FROM Donations WHERE YEAR(DonationDate) = 2021 GROUP BY DonorID; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_pharmacy (id INT, name VARCHAR(50), location VARCHAR(100), satisfaction_score INT); INSERT INTO rural_pharmacy (id, name, location, satisfaction_score) VALUES (1, 'Pharmacy A', 'Rural Area 1', 95), (2, 'Pharmacy B', 'Rural Area 2', 88), (3, 'Pharmacy C', 'Rural Area 3', 98), (4, 'Pharmacy D', 'Rural ... | What is the name and location of the pharmacy with the highest patient satisfaction score in the 'rural_pharmacy' table? | SELECT name, location FROM rural_pharmacy WHERE satisfaction_score = (SELECT MAX(satisfaction_score) FROM rural_pharmacy); | gretelai_synthetic_text_to_sql |
CREATE TABLE research_papers (id INT, author VARCHAR(50), country VARCHAR(50), title VARCHAR(100), publication_date DATE); INSERT INTO research_papers (id, author, country, title, publication_date) VALUES (1, 'John Doe', 'USA', 'AI Safety and Ethics', '2021-06-01'), (2, 'Jane Smith', 'Canada', 'Explainable AI for Safet... | What's the total number of AI safety research papers published by US and Canadian authors? | SELECT COUNT(*) FROM research_papers WHERE country IN ('USA', 'Canada') AND (title LIKE '%AI safety%' OR title LIKE '%safe%critical%'); | gretelai_synthetic_text_to_sql |
CREATE TABLE genetic_research (id INT, title VARCHAR(100), focus VARCHAR(50)); INSERT INTO genetic_research (id, title, focus) VALUES (1, 'Genetic Markers in Alzheimer''s Disease', 'neurodegenerative'); INSERT INTO genetic_research (id, title, focus) VALUES (2, 'Genomic Analysis of Parkinson''s Disease', 'neurodegenera... | Find genetic research data with a primary focus on neurodegenerative diseases. | SELECT * FROM genetic_research WHERE focus = 'neurodegenerative'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (id INT PRIMARY KEY, name VARCHAR(255), category VARCHAR(50), price FLOAT, cruelty_free BOOLEAN); CREATE TABLE suppliers (id INT PRIMARY KEY, product_id INT, supplier_name VARCHAR(255), country VARCHAR(50), sustainability_score FLOAT); | How many cruelty-free products are supplied by countries with a sustainability score greater than 80? | SELECT COUNT(DISTINCT products.id) FROM products INNER JOIN suppliers ON products.id = suppliers.product_id WHERE products.cruelty_free = TRUE AND suppliers.sustainability_score > 80; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_seoul (id INT, city VARCHAR(20), country VARCHAR(20), year INT, energy_consumption FLOAT); INSERT INTO energy_seoul (id, city, country, year, energy_consumption) VALUES (1, 'Seoul', 'South Korea', 2019, 12000), (2, 'Seoul', 'South Korea', 2020, 15000), (3, 'Seoul', 'South Korea', 2021, 16000); | What is the total energy consumption for smart city initiatives in Seoul, South Korea, per year? | SELECT year, SUM(energy_consumption) FROM energy_seoul WHERE city = 'Seoul' AND country = 'South Korea' GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE WasteManagement (District text, CollectionRating int, CollectionDate date); INSERT INTO WasteManagement (District, CollectionRating, CollectionDate) VALUES ('DistrictE', 90, '2022-06-15'); | Insert a new record into the waste_management table with a collection rating of 90 for 'DistrictE' on '2022-06-15'? | INSERT INTO WasteManagement (District, CollectionRating, CollectionDate) VALUES ('DistrictE', 90, '2022-06-15'); | gretelai_synthetic_text_to_sql |
CREATE TABLE canada_provinces (province TEXT); INSERT INTO canada_provinces (province) VALUES ('Alberta'), ('British Columbia'), ('Ontario'); CREATE TABLE indigenous_communities (name TEXT, province TEXT); INSERT INTO indigenous_communities (name, province) VALUES ('Community1', 'Alberta'), ('Community2', 'British Colu... | How many dental clinics serve indigenous communities in Canada? | SELECT COUNT(dc.name) AS num_dental_clinics FROM dental_clinics dc INNER JOIN indigenous_communities ic ON dc.community = ic.name INNER JOIN canada_provinces cp ON dc.province = cp.province WHERE ic.province = cp.province; | gretelai_synthetic_text_to_sql |
CREATE TABLE healthcare_workers (id INT, name TEXT, salary REAL, is_rural BOOLEAN); INSERT INTO healthcare_workers (id, name, salary, is_rural) VALUES (1, 'John Doe', 60000, false), (2, 'Jane Smith', 45000, true); CREATE TABLE salary_adjustments (worker_id INT, adjustment REAL); INSERT INTO salary_adjustments (worker_i... | List the names and salaries of healthcare workers earning more than $50,000 in urban areas? | SELECT hw.name, (hw.salary + sa.adjustment) AS salary FROM healthcare_workers hw INNER JOIN salary_adjustments sa ON hw.id = sa.worker_id WHERE hw.is_rural = false AND (hw.salary + sa.adjustment) > 50000; | gretelai_synthetic_text_to_sql |
CREATE TABLE BCFacilities (service VARCHAR(30), count INT, year INT); INSERT INTO BCFacilities (service, count, year) VALUES ('Public Schools', 800, 2022), ('Healthcare Facilities', 120, 2022); | How many public schools and healthcare facilities are there in British Columbia as of 2022? | SELECT service, count FROM BCFacilities WHERE year = 2022 AND service IN ('Public Schools', 'Healthcare Facilities'); | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouse (id INT, city VARCHAR(20), capacity INT); INSERT INTO warehouse (id, city, capacity) VALUES (1, 'Chicago', 1000), (2, 'Houston', 1500), (3, 'Miami', 800), (4, 'Los Angeles', 1200), (5, 'San Francisco', 1800); CREATE TABLE state (id INT, name VARCHAR(20)); INSERT INTO state (id, name) VALUES (1, '... | Update the capacities of all warehouses located in California | UPDATE warehouse_state SET capacity = 1500 WHERE name IN ('California'); | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (donor_id INT, donor_name TEXT, donation_amount DECIMAL, org_id INT); CREATE TABLE organizations (org_id INT, org_name TEXT); | Show the number of donors and total donation amount for each organization in the 'organizations' table. | SELECT organizations.org_name, COUNT(donors.donor_id) as num_donors, SUM(donors.donation_amount) as total_donations FROM donors INNER JOIN organizations ON donors.org_id = organizations.org_id GROUP BY organizations.org_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_infrastructure (project_name VARCHAR(255), project_type VARCHAR(255), completion_year INT); INSERT INTO rural_infrastructure (project_name, project_type, completion_year) VALUES ('Greenhouse Project', 'Agricultural Innovation', 2018), ('Drip Irrigation System', 'Agricultural Innovation', 2019), ('Rur... | How many rural infrastructure projects were completed per year in the 'rural_infrastructure' table? | SELECT completion_year, COUNT(*) FROM rural_infrastructure GROUP BY completion_year; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_tests (id INT PRIMARY KEY, company VARCHAR(255), brand VARCHAR(255), test_location VARCHAR(255), test_date DATE, safety_rating INT); | Show the average safety rating for each brand | SELECT brand, AVG(safety_rating) as avg_rating FROM safety_tests GROUP BY brand; | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity (country VARCHAR(255), capacity FLOAT); INSERT INTO landfill_capacity (country, capacity) VALUES ('Brazil', 6.8), ('Argentina', 2.1), ('Colombia', 1.7); | What is the total landfill capacity in South America? | SELECT SUM(capacity) FROM landfill_capacity WHERE country IN ('Brazil', 'Argentina', 'Colombia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE academic_publications (id INT, title VARCHAR(100), journal VARCHAR(50), publication_year INT); INSERT INTO academic_publications VALUES (1, 'Artificial Intelligence for Autonomous Systems', 'Journal of Machine Learning', 2018), (2, 'Deep Learning Techniques for Image Recognition', 'Journal of Machine Learn... | Delete all academic publications with a 'Journal of Machine Learning' that have a publication year of 2018. | DELETE FROM academic_publications WHERE journal = 'Journal of Machine Learning' AND publication_year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE strategies (id INT, investment_id INT, strategy VARCHAR(50)); INSERT INTO strategies (id, investment_id, strategy) VALUES (1, 1, 'Microfinance'), (2, 1, 'Sustainable Agriculture'), (3, 2, 'Green Energy'), (4, 3, 'Affordable Housing'); CREATE TABLE investment_scores (investment_id INT, esg_score FLOAT); INS... | List all unique investment strategies that have an ESG score greater than 85. | SELECT DISTINCT strategy FROM strategies JOIN investment_scores ON strategies.investment_id = investment_scores.investment_id WHERE investment_scores.esg_score > 85; | gretelai_synthetic_text_to_sql |
CREATE TABLE patents_granted_cardiovascular (patent_id INT, drug_name VARCHAR(255), therapeutic_area VARCHAR(255), patent_status VARCHAR(255)); INSERT INTO patents_granted_cardiovascular (patent_id, drug_name, therapeutic_area, patent_status) VALUES (1, 'DrugJ', 'Cardiovascular', 'Granted'), (2, 'DrugK', 'Cardiovascula... | Find the number of patents granted for each drug, ranked from the most patents to the least, in the cardiovascular therapeutic area? | SELECT drug_name, COUNT(*) as num_of_patents FROM patents_granted_cardiovascular WHERE therapeutic_area = 'Cardiovascular' AND patent_status = 'Granted' GROUP BY drug_name ORDER BY num_of_patents DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE destinations (destination_id INT, name TEXT, type TEXT); INSERT INTO destinations (destination_id, name, type) VALUES (1, 'Parksville', 'Eco-friendly'), (2, 'Tofino', 'Eco-friendly'), (3, 'Vancouver', 'Urban'), (4, 'Whistler', 'Ski'), (5, 'Banff', 'Sustainable'), (6, 'Jasper', 'Sustainable'); | How many destinations are there for each type of tourism? | SELECT type, COUNT(*) FROM destinations GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE faculty (id INT, name VARCHAR(50), department VARCHAR(20)); CREATE TABLE research_grants (faculty_id INT, grant_amount DECIMAL(10,2), department VARCHAR(20)); INSERT INTO faculty (id, name, department) VALUES (1, 'John Doe', 'Physics'), (2, 'Jane Smith', 'Mathematics'), (3, 'Mary Johnson', 'Physics'); INSE... | Identify faculty members who have received research grants in both the 'Physics' and 'Mathematics' departments. | SELECT f.name FROM faculty f JOIN research_grants rg ON f.id = rg.faculty_id WHERE f.department = 'Physics' AND rg.department = 'Mathematics' GROUP BY f.name HAVING COUNT(DISTINCT rg.department) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, PlayerName VARCHAR(50), GameType VARCHAR(50), Age INT); INSERT INTO Players (PlayerID, PlayerName, GameType, Age) VALUES (1, 'John Doe', 'FPS', 25); INSERT INTO Players (PlayerID, PlayerName, GameType, Age) VALUES (2, 'Jane Smith', 'RPG', 30); | Calculate the average age of players who play FPS games | SELECT AVG(Age) FROM Players WHERE GameType = 'FPS'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hair_care_launches (id INT, product VARCHAR(50), launch_date DATE, country VARCHAR(50), vegan BOOLEAN); INSERT INTO hair_care_launches (id, product, launch_date, country, vegan) VALUES (1, 'Vegan Shampoo', '2021-02-15', 'Canada', TRUE); | Show the number of vegan hair care products launched in Canada each year. | SELECT EXTRACT(YEAR FROM launch_date) AS year, COUNT(*) FROM hair_care_launches WHERE country = 'Canada' AND vegan = TRUE GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE accounts (id INT, customer_id INT, investment_risk VARCHAR(255), account_open_date DATE); INSERT INTO accounts (id, customer_id, investment_risk, account_open_date) VALUES (1, 1, 'high', '2022-01-01'), (2, 2, 'medium', '2022-01-15'), (3, 3, 'low', '2022-01-05'), (4, 4, 'high', '2022-01-30'), (5, 5, 'high',... | What is the number of high-risk investment accounts opened in the last quarter? | SELECT COUNT(a.id) FROM accounts a WHERE a.investment_risk = 'high' AND a.account_open_date >= DATE_SUB(CURDATE(), INTERVAL 3 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE Space_Satellites (Satellite_ID INT, Satellite_Name VARCHAR(100), Launch_Date DATE, Country_Name VARCHAR(50), Agency_Name VARCHAR(50)); INSERT INTO Space_Satellites (Satellite_ID, Satellite_Name, Launch_Date, Country_Name, Agency_Name) VALUES (1, 'Sat1', '2000-01-01', 'USA', 'NASA'), (2, 'Sat2', '2001-01-01... | What is the total number of satellites launched by country in the Space_Satellites table? | SELECT Country_Name, COUNT(*) as Total_Satellites FROM Space_Satellites GROUP BY Country_Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE vegan_sales(product_name TEXT, sales_volume INT, is_vegan BOOLEAN, country TEXT); INSERT INTO vegan_sales VALUES ('Lipstick', 500, true, 'Canada'); INSERT INTO vegan_sales VALUES ('Mascara', 300, true, 'Canada'); INSERT INTO vegan_sales VALUES ('Eyeshadow', 700, false, 'Canada'); | What is the total sales volume of vegan makeup products sold in Canada? | SELECT SUM(sales_volume) FROM vegan_sales WHERE is_vegan = true AND country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (Donor_ID int, Name varchar(50), Donation_Amount decimal(10,2), Country varchar(50)); INSERT INTO Donors (Donor_ID, Name, Donation_Amount, Country) VALUES (1, 'John Doe', 7000, 'USA'), (2, 'Jane Smith', 3000, 'Canada'), (3, 'Mike Johnson', 4000, 'USA'), (4, 'Emma Wilson', 8000, 'Canada'); | update Donors set Donation_Amount = Donation_Amount * 1.10 where Donation_Amount > 5000 | UPDATE Donors SET Donation_Amount = Donation_Amount * 1.10 WHERE Donation_Amount > 5000; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (id INT, name TEXT, city TEXT, is_eco_friendly BOOLEAN); INSERT INTO hotels (id, name, city, is_eco_friendly) VALUES (1, 'Eco Hotel Amsterdam', 'Amsterdam', TRUE), (2, 'Green Hotel Amsterdam', 'Amsterdam', TRUE); | How many eco-friendly hotels are there in Amsterdam? | SELECT COUNT(*) FROM hotels WHERE city = 'Amsterdam' AND is_eco_friendly = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE WellExplorationCosts (well_id INT, drill_year INT, exploration_cost REAL); INSERT INTO WellExplorationCosts (well_id, drill_year, exploration_cost) VALUES (1, 2008, 2000000), (2, 2012, 3000000), (3, 2015, 1500000); | What is the highest exploration cost in the 'NorthSea' for wells drilled after 2010? | SELECT MAX(exploration_cost) FROM WellExplorationCosts WHERE region = 'NorthSea' AND drill_year > 2010 | gretelai_synthetic_text_to_sql |
CREATE TABLE Recycling_Centers_All (country VARCHAR(20), center_type VARCHAR(20)); INSERT INTO Recycling_Centers_All (country, center_type) VALUES ('US', 'Glass'), ('US', 'Paper'), ('Canada', 'Glass'), ('Mexico', 'Plastic'), ('US', 'Plastic'), ('Canada', 'Paper'); | How many recycling centers are there in total for each center type? | SELECT center_type, COUNT(*) FROM Recycling_Centers_All GROUP BY center_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (id INT, country VARCHAR(255), element VARCHAR(255), quantity INT, day VARCHAR(255), week INT, year INT); INSERT INTO production (id, country, element, quantity, day, week, year) VALUES (1, 'China', 'Samarium', 500, 'Monday', 1, 2021), (2, 'China', 'Samarium', 550, 'Tuesday', 1, 2021), (3, 'USA'... | Determine the production quantity of Samarium for each day in the week, starting from Monday. | SELECT country, element, day, quantity FROM production WHERE element = 'Samarium' AND week = 1 AND day IN ('Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday') ORDER BY day; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, total_assets DECIMAL(10,2)); INSERT INTO customers (customer_id, total_assets) VALUES (1, 50000), (2, 75000), (3, 30000); CREATE TABLE investments (customer_id INT, stock_symbol VARCHAR(5), investment_amount DECIMAL(10,2)); INSERT INTO investments (customer_id, stock_symbol, inv... | Find the total assets of all customers who have invested in stock 'AAPL' | SELECT SUM(total_assets) FROM customers INNER JOIN investments ON customers.customer_id = investments.customer_id WHERE investments.stock_symbol = 'AAPL'; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, name TEXT, age INT, therapy TEXT, therapy_year INT); INSERT INTO patients (id, name, age, therapy, therapy_year) VALUES (1, 'Alice', 30, 'CBT', 2022), (2, 'Bob', 45, 'DBT', 2021), (3, 'Charlie', 63, 'CBT', 2018), (4, 'David', 50, 'CBT', 2022), (5, 'Eve', 55, 'DBT', 2019); | Update the therapy type to 'ACT' for patients who are over 60 years old. | UPDATE patients SET therapy = 'ACT' WHERE age > 60; | gretelai_synthetic_text_to_sql |
CREATE TABLE mine (id INT, name VARCHAR(50), location VARCHAR(50)); CREATE TABLE emission (mine_id INT, year INT, co2_emission INT); | What is the total CO2 emission for each mine by year? | SELECT mine.name, emission.year, SUM(emission.co2_emission) FROM emission JOIN mine ON emission.mine_id = mine.id GROUP BY mine.name, emission.year; | gretelai_synthetic_text_to_sql |
CREATE TABLE mlb_2021 (player TEXT, team TEXT, home_run_distance FLOAT); | Find the top 5 longest home runs in the MLB in the 2021 season. | SELECT player, team, home_run_distance FROM mlb_2021 ORDER BY home_run_distance DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT, DonorName TEXT, Country TEXT); INSERT INTO Donors (DonorID, DonorName, Country) VALUES (1, 'John Doe', 'USA'), (2, 'Jane Smith', 'Canada'), (3, 'Leung Li', 'China'), (4, 'Kim Jae', 'South Korea'); | How many unique donors are there from Asian countries? | SELECT COUNT(DISTINCT DonorID) FROM Donors WHERE Country IN ('China', 'South Korea', 'India', 'Japan', 'Indonesia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species_ocean (species TEXT, ocean TEXT); | How many marine species are found in each ocean? | SELECT ocean, COUNT(species) FROM marine_species_ocean GROUP BY ocean; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farmers (id INT PRIMARY KEY, name VARCHAR(100), age INT, location VARCHAR(100)); INSERT INTO Farmers (id, name, age, location) VALUES (1, 'Marie Dubois', 42, 'France'); INSERT INTO Farmers (id, name, age, location) VALUES (2, 'Pedro Gomez', 60, 'Spain'); CREATE TABLE Plots (id INT PRIMARY KEY, farmer_id IN... | List the names and crops of farmers who grow crops in regions with a Mediterranean climate? | SELECT f.name, p.crop FROM Farmers f INNER JOIN Plots p ON f.id = p.farmer_id INNER JOIN ClimateTypes c ON f.location = c.country WHERE c.climate_type = 'Mediterranean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID int, DonorName varchar(50), Country varchar(50), AmountDonated numeric(10,2)); INSERT INTO Donors VALUES (1, 'John Doe', 'USA', 500.00), (2, 'Jane Smith', 'Canada', 300.00); | What is the total amount donated by individual donors from the United States in 2021? | SELECT SUM(AmountDonated) FROM Donors WHERE Country = 'USA' AND YEAR(DonationDate) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE research_grants (id INT, faculty_id INT, grant_amount DECIMAL(10,2), department VARCHAR(50), grant_date DATE); | Calculate the total research grant funding awarded to the Physics department in the current fiscal year. | SET @fy_start := DATE_FORMAT(DATE_SUB(CURDATE(), INTERVAL MONTH(CURDATE()) - 7 MONTH), '%Y-%m-01'); SET @fy_end := DATE_FORMAT(LAST_DAY(CURDATE()), '%Y-%m-%d'); WITH phys_grants AS (SELECT * FROM research_grants WHERE department = 'Physics' AND grant_date BETWEEN @fy_start AND @fy_end) SELECT SUM(grant_amount) FROM phy... | gretelai_synthetic_text_to_sql |
CREATE TABLE Platforms (platform_id INT, platform_name TEXT); CREATE TABLE AlbumSales (sale_id INT, platform_id INT, sales INT); | What is the average album sales per platform? | SELECT platform_name, AVG(sales) as avg_sales FROM Platforms JOIN AlbumSales ON Platforms.platform_id = AlbumSales.platform_id GROUP BY platform_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE individuals (id INT, country VARCHAR(255), age INT, financial_wellbeing_score INT); | What is the total financial wellbeing score for individuals in South America, aged 20-30? | SELECT SUM(financial_wellbeing_score) FROM individuals WHERE country = 'South America' AND age BETWEEN 20 AND 30; | gretelai_synthetic_text_to_sql |
CREATE TABLE game_release (game VARCHAR(10), release_date DATE); CREATE TABLE player_join (player_id INT, join_date DATE, game VARCHAR(10)); INSERT INTO game_release (game, release_date) VALUES ('Game1', '2020-01-01'), ('Game2', '2019-01-01'); INSERT INTO player_join (player_id, join_date, game) VALUES (1, '2020-01-02'... | What is the number of players who joined after a game was released, for each game? | SELECT game, COUNT(*) as num_players FROM player_join p JOIN game_release r ON p.game = r.game WHERE p.join_date > r.release_date GROUP BY game; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists(id INT, name VARCHAR(255), birthplace VARCHAR(255), art_style VARCHAR(255)); INSERT INTO Artists(id, name, birthplace, art_style) VALUES (1, 'Pablo Picasso', 'Málaga, Spain', 'Cubism'); INSERT INTO Artists(id, name, birthplace, art_style) VALUES (2, 'Salvador Dalí', 'Figueres, Spain', 'Surrealism')... | What are the names and art styles of all artworks created by artists born in Spain? | SELECT Artworks.title, Artists.art_style FROM Artworks INNER JOIN Artists ON Artworks.artist_id = Artists.id WHERE Artists.birthplace = 'Spain'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cities_2 (name VARCHAR(255), state VARCHAR(255), population DECIMAL(10,2), recycling_rate DECIMAL(5,2)); INSERT INTO cities_2 (name, state, population, recycling_rate) VALUES ('City1', 'California', 50000, 15), ('City2', 'Texas', 75000, 8), ('City3', 'Florida', 90000, 25); | Identify cities with a population under 100,000 and a recycling rate below 10%. | SELECT name FROM cities_2 WHERE population < 100000 AND recycling_rate < 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholders (id INT, name VARCHAR(100), city VARCHAR(50), state VARCHAR(20)); INSERT INTO policyholders (id, name, city, state) VALUES (1, 'John Doe', 'Seattle', 'WA'); CREATE TABLE claims (id INT, policyholder_id INT, amount DECIMAL(10, 2)); INSERT INTO claims (id, policyholder_id, amount) VALUES (1, 1,... | What is the average claim amount for policyholders in the city of Seattle? | SELECT AVG(claims.amount) FROM claims JOIN policyholders ON claims.policyholder_id = policyholders.id WHERE policyholders.city = 'Seattle'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkers (WorkerID INT, Age INT, Gender VARCHAR(10)); INSERT INTO CommunityHealthWorkers (WorkerID, Age, Gender) VALUES (1, 35, 'Female'), (2, 42, 'Male'), (3, 48, 'Non-binary'); | What is the average age of community health workers by gender? | SELECT AVG(Age) as AvgAge, Gender FROM CommunityHealthWorkers GROUP BY Gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE support_groups (id INT, name TEXT, location TEXT, facilitator_id INT, members INT, success_rate DECIMAL(3,2)); INSERT INTO support_groups (id, name, location, facilitator_id, members, success_rate) VALUES (1, 'Hopeful Minds', 'Los Angeles', 3, 12, 0.85); INSERT INTO support_groups (id, name, location, faci... | What is the success rate of support groups in Los Angeles? | SELECT AVG(success_rate) FROM support_groups WHERE location = 'Los Angeles'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ships (ship_id INT, ship_name VARCHAR(255), registration_date DATE); INSERT INTO ships VALUES (1, 'Sea Giant', '2010-03-23'), (2, 'Poseidon', '2012-09-08'); | Update the registration date of the ship 'Poseidon' to '2015-01-01' | UPDATE ships SET registration_date = '2015-01-01' WHERE ship_name = 'Poseidon'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vehicles (Id INT, Name TEXT, Type TEXT, SafetyRating INT, ReleaseDate DATE); INSERT INTO Vehicles (Id, Name, Type, SafetyRating, ReleaseDate) VALUES (1, 'Model S', 'Electric', 5, '2016-06-22'), (2, 'Model 3', 'Electric', 5, '2017-07-28'), (3, 'Tesla Roadster', 'Electric', 4, '2008-03-16'), (4, 'Corvette', ... | Delete all records of vehicles that have a safety rating below 3. | DELETE FROM Vehicles WHERE SafetyRating < 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (city VARCHAR(20), year INT, recycling_rate FLOAT);INSERT INTO recycling_rates (city, year, recycling_rate) VALUES ('San Francisco', 2019, 0.65), ('San Francisco', 2020, 0.7), ('San Francisco', 2021, 0.75), ('Oakland', 2019, 0.55), ('Oakland', 2020, 0.6), ('Oakland', 2021, 0.65); | Find the recycling rate for the city of Oakland in 2021 | SELECT recycling_rate FROM recycling_rates WHERE city = 'Oakland' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE Schools (region_id INT, meets_standard BOOLEAN); INSERT INTO Schools (region_id, meets_standard) VALUES (1, true), (1, false), (2, true), (2, true), (3, false), (3, true), (4, true), (4, true); CREATE TABLE Regions (id INT, name VARCHAR(50)); INSERT INTO Regions (id, name) VALUES (1, 'North'), (2, 'South')... | What is the percentage of schools meeting environmental standards in each region? | SELECT R.name, (COUNT(S.id) * 100.0 / (SELECT COUNT(*) FROM Schools WHERE region_id = R.id)) as Percentage_Meeting_Standards FROM Schools S JOIN Regions R ON S.region_id = R.id WHERE S.meets_standard = true GROUP BY R.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (id INT, name VARCHAR(255), country VARCHAR(255)); INSERT INTO customers (id, name, country) VALUES (1, 'John Doe', 'USA'), (2, 'Jane Smith', 'Canada'); CREATE TABLE transactions (id INT, customer_id INT, amount DECIMAL(10, 2)); INSERT INTO transactions (id, customer_id, amount) VALUES (1, 1, 500... | What is the average transaction amount for all customers from the United States? | SELECT AVG(t.amount) FROM transactions t JOIN customers c ON t.customer_id = c.id WHERE c.country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE accommodations (id INT, name TEXT, country TEXT, rating FLOAT); INSERT INTO accommodations (id, name, country, rating) VALUES (1, 'Hotel Fasano Rio de Janeiro', 'Brazil', 4.7), (2, 'Belmond Copacabana Palace', 'Brazil', 4.6), (3, 'Hotel Emiliano Rio', 'Brazil', 4.5); | What is the minimum rating of accommodations in Brazil? | SELECT MIN(rating) FROM accommodations WHERE country = 'Brazil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE charging_stations (station_id INT, type VARCHAR(20), city VARCHAR(20)); INSERT INTO charging_stations (station_id, type, city) VALUES (1, 'Car', 'Madrid'), (2, 'Bike', 'Madrid'), (3, 'Bike', 'Madrid'); | Add a new charging station in Madrid for electric cars. | INSERT INTO charging_stations (station_id, type, city) VALUES (4, 'Car', 'Madrid'); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA gov_data;CREATE TABLE gov_data.budget_allocation (city VARCHAR(20), service VARCHAR(20), budget INT); INSERT INTO gov_data.budget_allocation (city, service, budget) VALUES ('Oakland', 'Education', 3000000), ('Oakland', 'Healthcare', 4000000); | What is the total budget allocated for education and healthcare services in the city of Oakland? | SELECT SUM(budget) FROM gov_data.budget_allocation WHERE city = 'Oakland' AND service IN ('Education', 'Healthcare'); | gretelai_synthetic_text_to_sql |
CREATE TABLE algorithmic_fairness_researchers (researcher_id INTEGER, researcher_name TEXT, research_count INTEGER); | Who are the algorithmic_fairness researchers and their respective research_counts? | SELECT researcher_name, research_count FROM algorithmic_fairness_researchers; | gretelai_synthetic_text_to_sql |
CREATE TABLE warehouses (id INT, name TEXT, region TEXT); INSERT INTO warehouses (id, name, region) VALUES (1, 'Chicago Warehouse', 'north'), (2, 'Dallas Warehouse', 'south'); CREATE TABLE packages (id INT, warehouse_id INT, weight FLOAT, state TEXT); INSERT INTO packages (id, warehouse_id, weight, state) VALUES (1, 1,... | Find the top 3 heaviest packages shipped from the 'north' region to any state. | SELECT * FROM (SELECT *, ROW_NUMBER() OVER (ORDER BY weight DESC) as row_num FROM packages p JOIN warehouses w ON p.warehouse_id = w.id WHERE w.region = 'north') sub WHERE row_num <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE claims (id INT, policy_id INT, claim_amount INT); INSERT INTO claims (id, policy_id, claim_amount) VALUES (1, 1, 1500), (2, 2, 2500), (3, 3, 3000); CREATE TABLE policies (id INT, state VARCHAR(2)); INSERT INTO policies (id, state) VALUES (1, 'NY'), (2, 'TX'), (3, 'CA'); | What is the maximum claim amount for policies in 'NY'? | SELECT MAX(claim_amount) FROM claims JOIN policies ON claims.policy_id = policies.id WHERE policies.state = 'NY'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (id INT, name TEXT, price DECIMAL, country TEXT, product_type TEXT); | Decrease the price of all skincare products from the United Kingdom by 10%. | UPDATE products SET price = price * 0.9 WHERE country = 'United Kingdom' AND product_type = 'skincare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, sector VARCHAR(20), ESG_score FLOAT); INSERT INTO companies (id, sector, ESG_score) VALUES (1, 'technology', 78.3), (2, 'finance', 65.2), (3, 'technology', 81.5), (4, 'healthcare', 72.1); | Find companies in the 'technology' sector with an ESG score above 80. | SELECT * FROM companies WHERE sector = 'technology' AND ESG_score > 80; | gretelai_synthetic_text_to_sql |
CREATE TABLE cyber_incidents (id INT, region VARCHAR(50), incident_type VARCHAR(50)); INSERT INTO cyber_incidents (id, region, incident_type) VALUES (1, 'North America', 'Data Breach'); INSERT INTO cyber_incidents (id, region, incident_type) VALUES (2, 'Europe', 'Phishing'); | Find the total number of cybersecurity incidents in the North America region. | SELECT COUNT(*) FROM cyber_incidents WHERE region = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups(id INT, name TEXT, country TEXT, founder_race TEXT, funding FLOAT); INSERT INTO startups(id, name, country, founder_race, funding) VALUES (1, 'StartupA', 'USA', 'African American', 500000), (2, 'StartupB', 'USA', 'Asian', 750000), (3, 'StartupC', 'USA', 'Hispanic', 250000), (4, 'StartupD', 'USA', ... | What is the average funding received by startups founded by underrepresented racial groups in the USA? | SELECT founder_race, AVG(funding) FROM startups WHERE country = 'USA' GROUP BY founder_race; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (id INT, port_name VARCHAR(50), country VARCHAR(50), region VARCHAR(50), cargo_handling_violations INT); INSERT INTO ports (id, port_name, country, region, cargo_handling_violations) VALUES (1, 'Valencia', 'Spain', 'Mediterranean', 20), (2, 'Barcelona', 'Spain', 'Mediterranean', 15), (3, 'Piraeus', '... | What is the total number of cargo handling violations in the Mediterranean region? | SELECT SUM(cargo_handling_violations) FROM ports WHERE region = 'Mediterranean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE RuralHealthFacility2 (patient_id INT, patient_name VARCHAR(50), age INT, diagnosis VARCHAR(20)); | Insert a new patient 'Alice' with age 30 and diagnosis 'hypertension' into 'RuralHealthFacility2' table. | INSERT INTO RuralHealthFacility2 (patient_id, patient_name, age, diagnosis) VALUES (4, 'Alice', 30, 'hypertension'); | gretelai_synthetic_text_to_sql |
CREATE TABLE properties (property_id INT, city VARCHAR(20), region VARCHAR(20), inclusive_policy BOOLEAN); INSERT INTO properties (property_id, city, region, inclusive_policy) VALUES (1, 'Nairobi', 'Africa', true), (2, 'Cape Town', 'Africa', false), (3, 'Nairobi', 'Africa', true); | How many properties are there in each city with inclusive housing policies in Africa? | SELECT city, COUNT(*) as count_of_properties FROM properties WHERE inclusive_policy = true AND region = 'Africa' GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE ratings_by_genre (title VARCHAR(255), rating FLOAT, genre VARCHAR(255)); INSERT INTO ratings_by_genre (title, rating, genre) VALUES ('The Sopranos', 9.2, 'Crime'), ('The Big Bang Theory', 6.8, 'Comedy'); | Which genres have the highest and lowest average ratings? | SELECT genre, AVG(rating) AS avg_rating FROM ratings_by_genre GROUP BY genre ORDER BY avg_rating DESC, genre ASC; | gretelai_synthetic_text_to_sql |
CREATE TABLE billing (id INT, case_id INT, attorney_id INT, hours_worked INT, billable_rate DECIMAL(10,2)); INSERT INTO billing (id, case_id, attorney_id, hours_worked, billable_rate) VALUES (1, 1, 1, 15, 200.00); INSERT INTO billing (id, case_id, attorney_id, hours_worked, billable_rate) VALUES (2, 2, 2, 20, 250.00); ... | Get the total billing for each attorney by region | SELECT a.region, SUM(b.hours_worked * b.billable_rate) as total_billing FROM attorneys a JOIN billing b ON a.id = b.attorney_id GROUP BY a.region; | gretelai_synthetic_text_to_sql |
CREATE TABLE exhibition_statistics (exhibit_id INT, attendance INT); CREATE TABLE visitor_demographics (age INT, gender VARCHAR(10)); | list all tables and their columns | SELECT table_name, column_name FROM information_schema.columns; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists us_east (region varchar(10), technology varchar(10), capacity numeric); INSERT INTO us_east (region, technology, capacity) VALUES ('us_east', 'wind', 8000), ('us_east', 'solar', 9000), ('us_east', 'hydro', 12000); | List the energy sources and their capacities for the us_east region. | SELECT technology, capacity FROM us_east; | gretelai_synthetic_text_to_sql |
CREATE TABLE MuseumOperations (id INT, revenue DECIMAL(10,2), expense DECIMAL(10,2)); | What are the total revenues and expenses for museum operations in the 'MuseumOperations' table? | SELECT SUM(revenue) as total_revenue, SUM(expense) as total_expense FROM MuseumOperations; | gretelai_synthetic_text_to_sql |
CREATE TABLE fertilizer_application (application_id INT, application_timestamp TIMESTAMP, fertilizer_type TEXT, application_rate FLOAT); | Update the "application_rate" in the "fertilizer_application" table where the "application_id" is 2 to 3.5 | UPDATE fertilizer_application SET application_rate = 3.5 WHERE application_id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (country VARCHAR(50), year INT, recycling_rate FLOAT); INSERT INTO recycling_rates (country, year, recycling_rate) VALUES ('India', 2018, 0.25), ('India', 2019, 0.30); | What is the recycling rate for country 'India' in 2018? | SELECT recycling_rate FROM recycling_rates WHERE country = 'India' AND year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE TicketRevenue (id INT, visitor_id INT, community_id INT, revenue FLOAT); INSERT INTO TicketRevenue (id, visitor_id, community_id, revenue) VALUES (1, 101, 1, 15.5), (2, 102, 1, 12.3), (3, 103, 2, 21.0); | What was the total revenue from exhibition tickets for underrepresented communities in 2020? | SELECT SUM(TicketRevenue.revenue) FROM TicketRevenue INNER JOIN Communities ON TicketRevenue.community_id = Communities.id WHERE Communities.community_type = 'Underrepresented' AND TicketRevenue.id IN (SELECT visitor_id FROM Visitors WHERE year = 2020); | gretelai_synthetic_text_to_sql |
CREATE TABLE virtual_tour_stats (hotel_id INT, num_unique_users INT); | Add new records to virtual_tour_stats_table for hotel_id 1001, 1002, and 1003, with 50, 30, and 70 unique users respectively | INSERT INTO virtual_tour_stats (hotel_id, num_unique_users) VALUES (1001, 50), (1002, 30), (1003, 70); | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_records (record_id INT, product_id INT, incident_location TEXT, incident_date DATE); INSERT INTO safety_records (record_id, product_id, incident_location, incident_date) VALUES (1, 1, 'Germany', '2021-05-01'), (2, 3, 'France', '2021-03-15'), (3, 2, 'UK', '2021-07-20'); | Count the number of product safety incidents in the European Union. | SELECT COUNT(*) FROM safety_records WHERE incident_location IN ('Germany', 'France', 'UK'); | gretelai_synthetic_text_to_sql |
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