context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE DroughtImpact (Id INT PRIMARY KEY, City VARCHAR(255), Impact FLOAT, Date DATE); INSERT INTO DroughtImpact (Id, City, Impact, Date) VALUES (1, 'San Francisco', 0.15, '2022-01-30'); INSERT INTO DroughtImpact (Id, City, Impact, Date) VALUES (2, 'Los Angeles', 0.20, '2022-01-30'); INSERT INTO DroughtImpact (Id... | What is the average drought impact for cities in California on January 30, 2022? | SELECT City, AVG(Impact) FROM DroughtImpact WHERE Date = '2022-01-30' AND City IN ('San Francisco', 'Los Angeles', 'San Diego') GROUP BY City HAVING COUNT(*) > 1; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA news;CREATE TABLE NewsSource (name varchar(255), type varchar(10));CREATE TABLE Region (name varchar(255), location varchar(10));INSERT INTO NewsSource (name, type) VALUES ('NewsSourceA', 'news'), ('NewsSourceB', 'news'), ('NewsSourceC', 'opinion'), ('NewsSourceD', 'news'), ('NewsSourceE', 'opinion');INSE... | What is the total number of articles and opinion pieces published by news sources in the eastern region, excluding articles published by NewsSourceD? | SELECT COUNT(*) FROM ( (SELECT * FROM news.NewsSource WHERE type = 'news' AND location = 'eastern') EXCEPT (SELECT * FROM news.NewsSource WHERE name = 'NewsSourceD') ) AS eastern_news | gretelai_synthetic_text_to_sql |
CREATE TABLE Inventory (ItemID INT, Name VARCHAR(50), Quantity INT, VendorID INT, Sustainable BOOLEAN); INSERT INTO Inventory (ItemID, Name, Quantity, VendorID, Sustainable) VALUES (1, 'Box', 10, 1, true), (2, 'Bag', 20, 1, true), (3, 'Container', 30, 2, false); | What is the total weight of sustainable packaging materials used by each vendor? | SELECT VendorID, SUM(Quantity) FROM Inventory WHERE Sustainable = true GROUP BY VendorID; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_incidents (country VARCHAR(20), incident_type VARCHAR(20), incident_count INT); INSERT INTO safety_incidents (country, incident_type, incident_count) VALUES ('USA', 'autonomous_vehicle', 3), ('Canada', 'autonomous_vehicle', 1), ('USA', 'AI_assistant', 2); | What is the number of AI safety incidents recorded for each country in the 'safety_incidents' table? | SELECT country, incident_type, SUM(incident_count) as total_incidents FROM safety_incidents GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE power_plants (id INT, name VARCHAR(255), type VARCHAR(255), capacity INT, location VARCHAR(255)); INSERT INTO power_plants (id, name, type, capacity, location) VALUES (1, 'La Grande-1', 'Hydro', 2730, 'Canada'); INSERT INTO power_plants (id, name, type, capacity, location) VALUES (2, 'Three Gorges', 'Hydro... | What is the total hydroelectric power plant capacity in 'Brazil' from the 'power_plants' table? | SELECT SUM(capacity) FROM power_plants WHERE type = 'Hydro' AND location = 'Brazil'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PRODUCT ( id INT PRIMARY KEY, name TEXT, material TEXT, quantity INT, price INT, country TEXT, certifications TEXT, is_recycled BOOLEAN ); INSERT INTO PRODUCT (id, name, material, quantity, price, country, certifications, is_recycled) VALUES (1, 'Organic Cotton Shirt', 'Organic Cotton', 30, 50, 'USA', 'GOT... | Delete all products that are made from materials other than recycled polyester, recycled cotton, or bamboo. | DELETE FROM PRODUCT WHERE material NOT IN ('Recycled Polyester', 'Recycled Cotton', 'Bamboo'); | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers( supplier_id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), sustainability_score INT); INSERT INTO suppliers (supplier_id, name, location, sustainability_score) VALUES (1, 'Supplier A', 'City A', 80); | Insert data into 'suppliers' table | INSERT INTO suppliers (supplier_id, name, location, sustainability_score) VALUES (2, 'Supplier B', 'City B', 85); | gretelai_synthetic_text_to_sql |
CREATE TABLE teacher_pd (teacher_id INT, course_id INT, course_type VARCHAR(255)); | Insert a new professional development course 'Diversity Training' of type 'Webinar' for teacher with ID 678. | INSERT INTO teacher_pd (teacher_id, course_id, course_type) VALUES (678, 'Diversity Training', 'Webinar'); | gretelai_synthetic_text_to_sql |
CREATE TABLE education (id INT, name VARCHAR(50), community VARCHAR(20)); | List all the education records for underrepresented communities. | SELECT * FROM education WHERE community IN ('Latinx', 'Black', 'Indigenous'); | gretelai_synthetic_text_to_sql |
CREATE TABLE cricket_teams (team_id INT, team_name VARCHAR(50)); INSERT INTO cricket_teams (team_id, team_name) VALUES (1, 'Mumbai Indians'), (2, 'Chennai Super Kings'), (3, 'Kolkata Knight Riders'); CREATE TABLE cricket_matches (match_id INT, team_id INT, match_date DATE, result VARCHAR(10)); CREATE TABLE fan_demograp... | Identify cricket teams with the highest number of wins in the last 3 months and their corresponding fan demographics. | SELECT ct.team_name, COUNT(cm.match_id) as wins_in_last_3_months, AVG(fd.age) as avg_age, fd.gender FROM cricket_teams ct JOIN cricket_matches cm ON ct.team_id = cm.team_id JOIN fan_demographics_cricket fd ON ct.team_id = fd.team_id WHERE cm.match_date >= DATEADD(month, -3, GETDATE()) AND cm.result = 'Win' GROUP BY ct.... | gretelai_synthetic_text_to_sql |
CREATE TABLE players (id INT PRIMARY KEY, name TEXT, team TEXT, position TEXT, three_pointers_scored INT, games_played INT); INSERT INTO players (id, name, team, position, three_pointers_scored, games_played) VALUES (1, 'Stephen Curry', 'Golden State Warriors', 'Point Guard', 138, 33), (2, 'Buddy Hield', 'Sacramento Ki... | Find the total number of three-pointers scored by each player in the NBA | SELECT name, three_pointers_scored FROM players; | gretelai_synthetic_text_to_sql |
CREATE TABLE GlobalContributions (id INT, contributor VARCHAR(50), project VARCHAR(50), continent VARCHAR(50), amount FLOAT); INSERT INTO GlobalContributions (id, contributor, project, continent, amount) VALUES (1, 'John Smith', 'Pyramids Restoration', 'Africa', 1000000), (2, 'Anna Lee', 'Great Wall Restoration', 'Asia... | Who are the top 2 contributors to heritage site preservation globally and their total contributions? | SELECT contributor, SUM(amount) AS total_contributions FROM GlobalContributions GROUP BY contributor ORDER BY total_contributions DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (ProgramID INT, Name TEXT, Budget DECIMAL); INSERT INTO Programs (ProgramID, Name, Budget) VALUES (1, 'Education Support', 5000); INSERT INTO Programs (ProgramID, Name, Budget) VALUES (2, 'Senior Care', 7000); | Update the program name for program ID 2 to 'Youth Mentoring'. | UPDATE Programs SET Name = 'Youth Mentoring' WHERE ProgramID = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_name VARCHAR(50), is_cruelty_free BOOLEAN); INSERT INTO products (product_name, is_cruelty_free) VALUES ('Clean Slate', true), ('Eye Have You', false); CREATE TABLE ingredient_sources (product_name VARCHAR(50), ingredient_source VARCHAR(50)); INSERT INTO ingredient_sources (product_name, ... | What are the names of all cruelty-free certified products and their corresponding ingredient sources? | SELECT products.product_name, ingredient_sources.ingredient_source FROM products JOIN ingredient_sources ON products.product_name = ingredient_sources.product_name WHERE products.is_cruelty_free = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE zip_codes (zip_code VARCHAR(10), city VARCHAR(50)); INSERT INTO zip_codes (zip_code, city) VALUES ('12345', 'Anytown'), ('23456', 'Othertown'), ('34567', 'Sometown'); CREATE TABLE providers (provider_id INT, name VARCHAR(50), zip_code VARCHAR(10)); INSERT INTO providers (provider_id, name, zip_code) VALUES... | Delete records in the "providers" table where the "zip_code" is not present in the "zip_codes" table | DELETE FROM providers WHERE zip_code NOT IN (SELECT zip_code FROM zip_codes); | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacities (city TEXT, capacity_cubic_meters INT, date DATE); INSERT INTO landfill_capacities (city, capacity_cubic_meters, date) VALUES ('Accra', 100000, '2023-02-16'); | What is the current landfill capacity in cubic meters for the city of Accra? | SELECT capacity_cubic_meters FROM landfill_capacities WHERE city = 'Accra' AND date = (SELECT MAX(date) FROM landfill_capacities WHERE city = 'Accra'); | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, name VARCHAR(50), department VARCHAR(50), hire_date DATE); INSERT INTO employees (id, name, department, hire_date) VALUES (1, 'John Doe', 'IT', '2021-03-01'), (2, 'Jane Smith', 'Marketing', '2021-07-15'), (3, 'Mike Johnson', 'IT', '2021-02-12'), (4, 'Sara Connor', 'Marketing', '2021-10-0... | Show the number of employees hired in each quarter of the year, broken down by department. | SELECT department, DATE_TRUNC('quarter', hire_date) AS hire_quarter, COUNT(*) AS num_hires FROM employees GROUP BY department, hire_quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE Countries (Country VARCHAR(255), AvgScore FLOAT); INSERT INTO Countries (Country, AvgScore) VALUES ('United States', 80.1), ('Japan', 72.3), ('Brazil', 78.9), ('Canada', 76.2), ('Germany', 73.5); | Which countries have an average player score in the game "Starship Siege" above 75? | SELECT Country FROM Countries WHERE AvgScore > 75; | gretelai_synthetic_text_to_sql |
CREATE TABLE charging_stations (id INT PRIMARY KEY, station_name VARCHAR(255), location VARCHAR(255), num_charging_ports INT); | Create a table for electric vehicle charging stations | CREATE TABLE electric_charging_stations (id INT PRIMARY KEY, station_name VARCHAR(255), location VARCHAR(255), num_charging_ports INT); | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(255), release_year INT, views INT, country VARCHAR(50)); INSERT INTO movies (id, title, release_year, views, country) VALUES (1, 'Movie1', 2010, 10000, 'USA'), (2, 'Movie2', 2015, 15000, 'USA'); CREATE TABLE tv_shows (id INT, title VARCHAR(255), release_year INT, views INT, co... | What is the total view count for all movies and TV shows produced in the US? | SELECT SUM(views) FROM movies WHERE country = 'USA' UNION SELECT SUM(views) FROM tv_shows WHERE country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (program_id INT, lender_id INT, sector VARCHAR(20), is_financial_wellbeing BOOLEAN); INSERT INTO programs (program_id, lender_id, sector, is_financial_wellbeing) VALUES (1, 1, 'financial', true), (2, 1, 'technology', false), (3, 2, 'financial', false), (4, 2, 'technology', true); | List all the financial wellbeing programs offered by lenders in the technology sector. | SELECT program_id FROM programs WHERE sector = 'technology' AND is_financial_wellbeing = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE student (id INT, program TEXT, gpa REAL); INSERT INTO student (id, program, gpa) VALUES (1, 'cs', 3.8), (2, 'cs', 3.9), (3, 'cs', 4.0); | What is the maximum GPA of graduate students in the 'cs' program? | SELECT MAX(gpa) FROM student WHERE program = 'cs'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Concerts (concert_id INT, concert_name VARCHAR(255), location VARCHAR(255), year INT, marketing_budget INT); INSERT INTO Concerts (concert_id, concert_name, location, year, marketing_budget) VALUES (1, 'Concert A', 'New York', 2019, 500000), (2, 'Concert B', 'Toronto', 2020, 600000), (3, 'Concert C', 'Sao ... | What is the average marketing budget for Latin American concerts since 2019? | SELECT AVG(marketing_budget) FROM Concerts WHERE year >= 2019 AND location LIKE 'Latin%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE AIModels (model_name TEXT, confidence FLOAT, country TEXT); INSERT INTO AIModels (model_name, confidence, country) VALUES ('ModelA', 0.85, 'UAE'), ('ModelB', 0.92, 'Saudi Arabia'), ('ModelC', 0.78, 'Israel'); | What is the average confidence score for AI models in the Middle East, grouped by country? | SELECT country, AVG(confidence) FROM AIModels WHERE country IN ('UAE', 'Saudi Arabia', 'Israel') GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityOutreach (id INT, program VARCHAR(50), year INT, visits INT); INSERT INTO CommunityOutreach (id, program, year, visits) VALUES (1, 'Summer Camp', 2022, 250), (2, 'Senior Tour', 2022, 300), (3, 'Education Day', 2021, 400), (4, 'Youth Tour', 2021, 500); | Find the total number of visits for each community outreach program in 2021. | SELECT program, SUM(visits) FROM CommunityOutreach WHERE year = 2021 GROUP BY program | gretelai_synthetic_text_to_sql |
CREATE TABLE SatelliteLaunches (LaunchID INT, Country VARCHAR(50), Success BOOLEAN); INSERT INTO SatelliteLaunches (LaunchID, Country, Success) VALUES (1, 'USA', true); INSERT INTO SatelliteLaunches (LaunchID, Country, Success) VALUES (2, 'China', true); INSERT INTO SatelliteLaunches (LaunchID, Country, Success) VALUES... | Calculate the percentage of successful satellite launches for each country, sorted by the most successful. | SELECT Country, COUNT(*) * 100.0 / SUM(COUNT(*)) OVER () AS Success_Percentage, RANK() OVER (ORDER BY COUNT(*) * 100.0 / SUM(COUNT(*)) OVER () DESC) AS Launch_Success_Rank FROM SatelliteLaunches GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE CaseTypes (CaseID INT, CaseType VARCHAR(50), BillingAmount DECIMAL(10,2)); INSERT INTO CaseTypes (CaseID, CaseType, BillingAmount) VALUES (1, 'Civil', 1000.00), (2, 'Criminal', 2000.00), (3, 'Civil', 3000.00); | What is the total billing amount for each case type? | SELECT CaseType, SUM(BillingAmount) AS TotalBilling FROM CaseTypes GROUP BY CaseType; | gretelai_synthetic_text_to_sql |
CREATE TABLE exhibitions (id INT, name VARCHAR(255), price DECIMAL(5,2)); INSERT INTO exhibitions (id, name, price) VALUES (1, 'Art Deco', 15.99); | Increase the ticket price by 10% for the 'Art Deco' exhibition | WITH updated AS (UPDATE exhibitions SET price = price * 1.10 WHERE name = 'Art Deco') SELECT * FROM updated; | gretelai_synthetic_text_to_sql |
CREATE TABLE organic_produce_shipments (shipment_id INT, shipment_date DATE, weight INT, product VARCHAR(255), country VARCHAR(255), is_organic BOOLEAN); | Calculate the average weight of all shipments of organic produce from Mexico in the organic_produce_shipments table. | SELECT AVG(weight) FROM organic_produce_shipments WHERE is_organic = true AND country = 'Mexico'; | gretelai_synthetic_text_to_sql |
CREATE TABLE union_members (id INT, name VARCHAR(50), state VARCHAR(2), city VARCHAR(20), occupation VARCHAR(20)); INSERT INTO union_members (id, name, state, city, occupation) VALUES (1, 'John Doe', 'NY', 'New York', 'Engineer'); INSERT INTO union_members (id, name, state, city, occupation) VALUES (2, 'Jane Smith', 'C... | Update "union_members" table where the "id" is 2 | UPDATE union_members SET state = 'WA', city = 'Seattle' WHERE id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name TEXT, country TEXT); CREATE TABLE volunteer_hours (id INT, volunteer_id INT, hours INT); | Show the number of volunteers and total hours per country in 'volunteers' and 'volunteer_hours' tables. | SELECT v.country, COUNT(v.id) AS num_volunteers, SUM(vh.hours) AS total_hours FROM volunteers v INNER JOIN volunteer_hours vh ON v.id = vh.volunteer_id GROUP BY v.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (donor_id INT, donor_name TEXT, donation_amount DECIMAL(10,2), country TEXT); INSERT INTO donors (donor_id, donor_name, donation_amount, country) VALUES (1, 'John Doe', 500.00, 'United States'); INSERT INTO donors (donor_id, donor_name, donation_amount, country) VALUES (2, 'Jane Smith', 300.00, 'Can... | What is the minimum donation amount from donors living in 'South Africa'? | SELECT MIN(donation_amount) FROM donors WHERE country = 'South Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vehicles (vehicle_id INT, vehicle_type VARCHAR(255), last_maintenance_date DATE); INSERT INTO vehicles (vehicle_id, vehicle_type, last_maintenance_date) VALUES (1001, 'Bus', '2022-05-15'), (1002, 'Train', '2022-04-01'), (1003, 'Wheelchair Accessible Bus', '2022-05-28'); | How many wheelchair accessible vehicles were serviced in the month of May? | SELECT COUNT(*) FROM vehicles WHERE vehicle_type LIKE '%Wheelchair%' AND last_maintenance_date BETWEEN '2022-05-01' AND '2022-05-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (student_id INT, student_name VARCHAR(50), grade_level INT, prefers_open_pedagogy BOOLEAN); INSERT INTO students (student_id, student_name, grade_level, prefers_open_pedagogy) VALUES (1, 'John Doe', 9, true), (2, 'Jane Smith', 10, false); | What is the percentage of students who prefer open pedagogy in each grade level? | SELECT grade_level, AVG(CAST(prefers_open_pedagogy AS FLOAT)) * 100 AS percentage FROM students GROUP BY grade_level; | gretelai_synthetic_text_to_sql |
CREATE TABLE austin_properties(id INT, address TEXT, affordability_rating INT); INSERT INTO austin_properties(id, address, affordability_rating) VALUES (1, '123 Main St', 5); | Update affordability ratings for Austin properties. | UPDATE austin_properties SET affordability_rating = 6 WHERE address = '123 Main St'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PlayerGames (PlayerID INT, GameID INT, GameWon BOOLEAN); CREATE TABLE Games (GameID INT, GameName VARCHAR(255)); INSERT INTO Games (GameID, GameName) VALUES (1, 'GameX'), (2, 'GameY'), (3, 'GameZ'); | Find the number of players who have played game Y and game Z in the 'PlayerGames' and 'Games' tables | SELECT COUNT(DISTINCT PlayerID) as PlayersPlayedBoth FROM PlayerGames JOIN Games ON PlayerGames.GameID = Games.GameID WHERE Games.GameName IN ('GameY', 'GameZ') GROUP BY Games.GameName HAVING COUNT(DISTINCT Games.GameName) = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE dapps (dapp_id INT, name VARCHAR(255), network VARCHAR(255), creation_date DATE); INSERT INTO dapps (dapp_id, name, network, creation_date) VALUES (1, 'App1', 'binance', '2022-01-01'), (2, 'App2', 'polygon', '2021-12-31'); | What are the names of the decentralized applications in the 'binance' network that were not created before 2021? | SELECT name FROM dapps WHERE network = 'binance' AND creation_date > '2021-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE lifelong_learners (learner_id INT, last_course_date DATE); INSERT INTO lifelong_learners (learner_id, last_course_date) VALUES (1, '2022-03-01'), (2, '2022-01-15'), (3, '2021-12-31'), (4, '2022-04-10'); CREATE TABLE courses (course_date DATE); INSERT INTO courses (course_date) VALUES ('2022-01-01'), ('2022... | What is the percentage of lifelong learners who have completed at least one course in the past year? | SELECT COUNT(DISTINCT lifelong_learners.learner_id) as total_learners, COUNT(DISTINCT CASE WHEN lifelong_learners.last_course_date >= DATEADD(year, -1, GETDATE()) THEN lifelong_learners.learner_id END) as eligible_learners, CAST(COUNT(DISTINCT CASE WHEN lifelong_learners.last_course_date >= DATEADD(year, -1, GETDATE())... | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (ID INT PRIMARY KEY, Title TEXT, Date DATE, Location TEXT, Attendees INT); | Display the title and date of events with more than 1000 attendees | SELECT Title, Date FROM Events WHERE Attendees > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE EcoFriendlyDyeProducts (product_id INT, is_eco_friendly_dye BOOLEAN); INSERT INTO EcoFriendlyDyeProducts (product_id, is_eco_friendly_dye) VALUES (1, true), (2, false), (3, true); CREATE TABLE Products (product_id INT, region VARCHAR(50)); INSERT INTO Products (product_id, region) VALUES (1, 'Asia'), (2, '... | How many products are made with eco-friendly dyes in Asia? | SELECT COUNT(EcoFriendlyDyeProducts.product_id) FROM EcoFriendlyDyeProducts INNER JOIN Products ON EcoFriendlyDyeProducts.product_id = Products.product_id WHERE Products.region = 'Asia' AND EcoFriendlyDyeProducts.is_eco_friendly_dye = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (id INT, name VARCHAR(50), location VARCHAR(50), financial_capability_score FLOAT); | Determine the average financial capability score for clients living in urban areas. | SELECT AVG(financial_capability_score) FROM clients WHERE location LIKE '%urban%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE TotalBudget (Program VARCHAR(50), Budget DECIMAL(10,2), BudgetDate DATE); INSERT INTO TotalBudget (Program, Budget, BudgetDate) VALUES ('Feeding the Homeless', 4000, '2022-01-01'), ('Tree Planting', 2000, '2022-01-01'); | What was the total budget allocated for all programs in H1 2022? | SELECT SUM(Budget) as TotalBudget FROM TotalBudget WHERE BudgetDate BETWEEN '2022-01-01' AND '2022-06-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Products (productID INT, productName VARCHAR(50), price DECIMAL(10,2), fairTrade BOOLEAN, country VARCHAR(50)); | What is the average cost of fair trade coffee beans in Colombia? | SELECT AVG(price) FROM Products WHERE productName = 'coffee beans' AND fairTrade = TRUE AND country = 'Colombia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE languages (id INT, name VARCHAR(50), location VARCHAR(50), speakers INT, status VARCHAR(50), PRIMARY KEY(id)); INSERT INTO languages (id, name, location, speakers, status) VALUES (1, 'Yoruba', 'Nigeria, Africa', 40000000, 'Vigorous'), (2, 'Hausa', 'Nigeria, Africa', 33000000, 'Vigorous'), (3, 'Swahili', 'T... | What is the average number of speakers per language in Africa? | SELECT AVG(l.speakers) FROM languages l WHERE l.location LIKE '%Africa%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (donation_id INT, donor_id INT, donation_amount DECIMAL(10,2), donation_date DATE); INSERT INTO Donations (donation_id, donor_id, donation_amount, donation_date) VALUES (1, 1, 500.00, '2020-01-01'), (2, 2, 300.00, '2019-05-15'); | Find the top 3 cities with the highest average donation amount in 'CA'? | SELECT city, AVG(donation_amount) FROM Donors d JOIN Donations don ON d.donor_id = don.donor_id WHERE state = 'CA' GROUP BY city ORDER BY AVG(donation_amount) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE tokyo_ev_sales (vehicle_id INT, type VARCHAR(20), sales INT); INSERT INTO tokyo_ev_sales (vehicle_id, type, sales) VALUES (1, 'Tesla Model 3', 500), (2, 'Nissan Leaf', 450), (3, 'Mitsubishi Outlander PHEV', 400), (4, 'Toyota Prius Prime', 350), (5, 'BMW i3', 300); | What are the top 3 electric vehicle types in Tokyo with the highest adoption rates? | SELECT DISTINCT type FROM (SELECT type, ROW_NUMBER() OVER(ORDER BY sales DESC) as rank FROM tokyo_ev_sales) as ev_ranks WHERE rank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE brands (id INT, name VARCHAR(255), country VARCHAR(255), size_diversity_policy BOOLEAN); INSERT INTO brands (id, name, country, size_diversity_policy) VALUES (1, 'BrandA', 'USA', true), (2, 'BrandB', 'Canada', false), (3, 'BrandC', 'France', true), (4, 'BrandD', 'UK', true), (5, 'BrandE', 'Germany', false)... | Which country has the highest number of fashion brands with a size diversity policy? | SELECT country, COUNT(*) as brand_count FROM brands WHERE size_diversity_policy = true GROUP BY country ORDER BY brand_count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vehicles (VehicleID int, DepotID int, VehicleType varchar(20), Accessible bit); INSERT INTO Vehicles VALUES (1, 1, 'Bus', 1), (2, 1, 'Bus', 0), (3, 2, 'Tram', 1); | What is the total number of vehicles in the fleet? | SELECT COUNT(VehicleID) FROM Vehicles; | gretelai_synthetic_text_to_sql |
CREATE TABLE historical_sites (id INT, site_name VARCHAR(255), site_date DATE, visitor_age_group VARCHAR(255), visitor_count INT); | Which historical sites have the highest and lowest attendance by age group? | SELECT site_name, visitor_age_group, SUM(visitor_count) as total_visitors FROM historical_sites GROUP BY site_name, visitor_age_group ORDER BY total_visitors DESC, site_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_stats (visitor_country VARCHAR(255), trip_duration INT); INSERT INTO tourism_stats (visitor_country, trip_duration) VALUES ('Japan', 12); | What is the average trip duration for tourists visiting Japan? | SELECT AVG(trip_duration) FROM tourism_stats WHERE visitor_country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE philanthropy.donors (donor_id INT, donor_name TEXT); | What is the average donation amount for causes in the 'philanthropy.causes' table? | SELECT AVG(amount) FROM philanthropy.donations d JOIN philanthropy.causes c ON d.cause_id = c.cause_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE AussieTournaments (TournamentID INT, TournamentName VARCHAR(50), Sport VARCHAR(20), City VARCHAR(50), StartDate DATE, EndDate DATE); INSERT INTO AussieTournaments (TournamentID, TournamentName, Sport, City, StartDate, EndDate) VALUES (1, 'Australian Open', 'Tennis', 'Melbourne', '2023-01-16', '2023-01-29')... | What is the duration and next start date of tournaments in Australia? | SELECT TournamentID, TournamentName, Sport, DATEDIFF(day, StartDate, EndDate) AS DaysDuration, LEAD(StartDate) OVER (ORDER BY StartDate) AS NextTournamentStartDate FROM AussieTournaments; | gretelai_synthetic_text_to_sql |
CREATE TABLE Hotels (Hotel_Name VARCHAR(50), City VARCHAR(30)); INSERT INTO Hotels (Hotel_Name, City) VALUES ('H1', 'CityA'), ('H2', 'CityB'), ('H3', 'CityA'); CREATE TABLE Ratings (Hotel_Name VARCHAR(50), Rating INT); INSERT INTO Ratings (Hotel_Name, Rating) VALUES ('H1', 4), ('H2', 5), ('H3', 3); | What is the average hotel rating in each city? | SELECT H.City, AVG(R.Rating) AS Average_Rating FROM Ratings R JOIN Hotels H ON R.Hotel_Name = H.Hotel_Name GROUP BY H.City; | gretelai_synthetic_text_to_sql |
CREATE TABLE organic_cotton_production (production_id INT, organic_cotton_quantity INT); INSERT INTO organic_cotton_production (production_id, organic_cotton_quantity) VALUES (1, 500), (2, 1000); | Find the total quantity of organic cotton used in production. | SELECT SUM(organic_cotton_quantity) FROM organic_cotton_production; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (id INT, city VARCHAR(255), office VARCHAR(255), result VARCHAR(255)); INSERT INTO cases (id, city, office, result) VALUES (1, 'Chicago', 'Public Defender', 'Won'), (2, 'Chicago', 'Public Defender', 'Lost'), (3, 'Chicago', 'Prosecutor', 'Won'); | What is the success rate of the public defender's office in the city of Chicago? | SELECT (SUM(CASE WHEN result = 'Won' THEN 1 ELSE 0 END) / COUNT(*)) * 100 AS success_rate FROM cases WHERE city = 'Chicago' AND office = 'Public Defender'; | gretelai_synthetic_text_to_sql |
CREATE TABLE locations (location_id INT, location VARCHAR(20), initiative_id INT, initiative_type VARCHAR(20)); INSERT INTO locations (location_id, location, initiative_id, initiative_type) VALUES (1, 'Online', 1, 'Open Pedagogy'), (2, 'In-person', 2, 'Open Pedagogy'), (3, 'Online', 3, 'Open Pedagogy'), (4, 'In-person'... | What is the distribution of open pedagogy initiatives by location? | SELECT location, COUNT(*) as num_initiatives FROM locations WHERE initiative_type = 'Open Pedagogy' GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE graduate_students (student_id INT, dept_name VARCHAR(50), gre_score INT); CREATE TABLE research_grants (grant_id INT, student_id INT, grant_date DATE); | What is the average GRE score of graduate students who received a research grant in the past year, and group the results by department? | SELECT g.dept_name, AVG(gs.gre_score) as avg_gre FROM graduate_students gs INNER JOIN research_grants rg ON gs.student_id = rg.student_id WHERE rg.grant_date >= DATE_SUB(CURRENT_DATE(), INTERVAL 1 YEAR) GROUP BY g.dept_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name VARCHAR(100), industry VARCHAR(50), num_employees INT); CREATE TABLE machines (id INT, company_id INT, sector VARCHAR(50), num_machines INT); INSERT INTO companies (id, name, industry, num_employees) VALUES (1, 'ABC Motors', 'automotive', 500), (2, 'XYZ Retail', 'retail', 300); INSE... | What is the total number of employees and machines in the 'automotive' sector? | SELECT SUM(companies.num_employees) AS total_employees, SUM(machines.num_machines) AS total_machines FROM companies JOIN machines ON companies.id = machines.company_id WHERE companies.industry = 'automotive'; | gretelai_synthetic_text_to_sql |
CREATE TABLE neighborhoods (name VARCHAR(255), id INT, city VARCHAR(255)); INSERT INTO neighborhoods (name, id, city) VALUES ('East Austin', 1, 'Austin'), ('Downtown Austin', 2, 'Austin'), ('South Austin', 3, 'Austin'); CREATE TABLE properties (id INT, neighborhood_id INT, price FLOAT); INSERT INTO properties (id, neig... | What is the average property price for each neighborhood in the city of Austin? | SELECT n.name, AVG(p.price) FROM properties p JOIN neighborhoods n ON p.neighborhood_id = n.id WHERE n.city = 'Austin' GROUP BY n.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (hotel_id INT, hotel_name TEXT, country TEXT, rating FLOAT, virtual_tour BOOLEAN); INSERT INTO hotels (hotel_id, hotel_name, country, rating, virtual_tour) VALUES (1, 'Hotel X', 'USA', 4.2, true), (2, 'Hotel Y', 'Canada', 4.5, false); | What is the average rating of hotels in the US that offer virtual tours? | SELECT AVG(rating) FROM hotels WHERE country = 'USA' AND virtual_tour = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (donor_id INT, donor_type TEXT, donation_amount DECIMAL(10,2), donation_date DATE); INSERT INTO donors VALUES (1, 'Individual', 50.00, '2020-01-01'); INSERT INTO donors VALUES (2, 'Corporation', 5000.00, '2020-02-01'); | What was the total donation amount by each donor type in 2020? | SELECT donor_type, SUM(donation_amount) as total_donation FROM donors WHERE YEAR(donation_date) = 2020 GROUP BY donor_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE resilience_standards (id INT, name VARCHAR(50), location VARCHAR(50), start_date DATE, completion_date DATE); | List the projects in the 'resilience_standards' table that have a completion date within the last 6 months, ordered by their start date. | SELECT * FROM resilience_standards WHERE completion_date >= DATEADD(month, -6, GETDATE()) ORDER BY start_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE Ratings (rating_id INT PRIMARY KEY, menu_item VARCHAR(50), rating DECIMAL(2,1)); CREATE TABLE Menu (menu_item VARCHAR(50) PRIMARY KEY, menu_item_category VARCHAR(50)); | What is the average rating for menu items in the "vegan" category? | SELECT AVG(r.rating) FROM Ratings r JOIN Menu m ON r.menu_item = m.menu_item WHERE m.menu_item_category = 'vegan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE investment ( id INT PRIMARY KEY, sector VARCHAR(20), return FLOAT ); INSERT INTO investment (id, sector, return) VALUES (1, 'renewables', 10.5), (2, 'storage', 15.6), (3, 'grid', 12.3); | Update the 'investment' table, setting the 'return' to 12 for any record where sector is 'renewables' | WITH cte AS (UPDATE investment SET return = 12 WHERE sector = 'renewables') SELECT * FROM cte; | gretelai_synthetic_text_to_sql |
CREATE TABLE dispensaries (id INT, name TEXT, state TEXT, county TEXT); INSERT INTO dispensaries (id, name, state, county) VALUES (1, 'The Healing Center', 'California', 'Los Angeles'), (2, 'Remedy', 'Texas', 'Travis'); CREATE TABLE sales (id INT, dispensary_id INT, product TEXT, quantity INT); | What is the total quantity of cannabis flower sold by dispensaries located in Los Angeles County? | SELECT SUM(s.quantity) FROM sales s JOIN dispensaries d ON s.dispensary_id = d.id WHERE d.county = 'Los Angeles'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rd_expenditure (country VARCHAR(50), drug_type VARCHAR(50), amount NUMERIC(10, 2)); INSERT INTO rd_expenditure (country, drug_type, amount) VALUES ('South Korea', 'Rheumatology', 12000000), ('South Korea', 'Rheumatology', 14000000), ('South Korea', 'Rheumatology', 13000000); | What is the minimum R&D expenditure for rheumatology drugs in South Korea? | SELECT MIN(amount) FROM rd_expenditure WHERE drug_type = 'Rheumatology' AND country = 'South Korea'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_acidity (id INT, location TEXT, pH FLOAT, year INT); INSERT INTO ocean_acidity (id, location, pH, year) VALUES (1, 'Atlantic Ocean', 7.8, 2019), (2, 'Atlantic Ocean', 7.6, 2018), (3, 'Atlantic Ocean', 7.9, 2017); | What is the maximum ocean acidity level (pH value) recorded in the Atlantic Ocean in 2019? | SELECT MAX(pH) FROM ocean_acidity WHERE location = 'Atlantic Ocean' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE CoOwnedProperties (PropertyID INT, OwnerName TEXT, City TEXT, State TEXT, PropertyTaxRate DECIMAL(5,2)); INSERT INTO CoOwnedProperties (PropertyID, OwnerName, City, State, PropertyTaxRate) VALUES (1, 'John Doe', 'Seattle', 'WA', 1.25), (2, 'Jane Smith', 'Seattle', 'WA', 1.30); | What is the average property tax rate for co-owned properties in the city of Seattle? | SELECT AVG(PropertyTaxRate) FROM CoOwnedProperties WHERE City = 'Seattle' AND State = 'WA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE policy_2 (policy_id INT, policy_type VARCHAR(20), premium FLOAT); INSERT INTO policy_2 (policy_id, policy_type, premium) VALUES (1, 'Home', 1500.00), (2, 'Auto', 750.00), (3, 'Life', 1200.00), (4, 'Home', 1800.00); | Find the policy type with the highest average premium. | SELECT policy_type, AVG(premium) AS avg_premium, RANK() OVER (ORDER BY AVG(premium) DESC) AS policy_rank FROM policy_2 GROUP BY policy_type HAVING policy_rank = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_incidents (incident_id INT, incident_date DATE, incident_type VARCHAR(50)); INSERT INTO safety_incidents (incident_id, incident_date, incident_type) VALUES (1, '2022-01-01', 'Chemical Spill'); INSERT INTO safety_incidents (incident_id, incident_date, incident_type) VALUES (2, '2022-02-01', 'Equipmen... | How many safety incidents were reported per month in 2022? | SELECT EXTRACT(MONTH FROM incident_date) as month, COUNT(incident_id) as incidents_per_month FROM safety_incidents WHERE EXTRACT(YEAR FROM incident_date) = 2022 GROUP BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE players (id INT, name TEXT, age INT, league TEXT); INSERT INTO players (id, name, age, league) VALUES (1, 'John Doe', 25, 'NBA'), (2, 'Jane Smith', 30, 'EuroLeague'); | What is the average age of players who have played in both the NBA and EuroLeague? | SELECT AVG(age) FROM players p1 INNER JOIN players p2 ON p1.name = p2.name WHERE p1.league = 'NBA' AND p2.league = 'EuroLeague'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_infrastructure (id INT, project_name TEXT, budget INT, category TEXT, completion_date DATE); INSERT INTO rural_infrastructure (id, project_name, budget, category, completion_date) VALUES (1, 'Road Construction', 50000, 'Roads', '2018-05-01'), (2, 'Clean Water Supply', 75000, 'Water', '2019-08-15'), (... | What is the average budget for rural infrastructure projects, categorized by type, for each year? | SELECT category, YEAR(completion_date) AS completion_year, AVG(budget) FROM rural_infrastructure GROUP BY category, YEAR(completion_date); | gretelai_synthetic_text_to_sql |
CREATE TABLE targets (country TEXT, year INT, emissions_target FLOAT); INSERT INTO targets (country, year, emissions_target) VALUES ('Canada', 2020, 500000); | Which countries have exceeded their historical emissions targets as of 2020? | SELECT country FROM targets WHERE year = 2020 AND emissions_target < (SELECT emissions FROM emissions WHERE country = targets.country AND year = 2020); | gretelai_synthetic_text_to_sql |
CREATE TABLE Patients (PatientID INT, Age INT, Gender VARCHAR(10)); CREATE TABLE MentalHealthConditions (ConditionID INT, PatientID INT, Condition VARCHAR(50)); | What are the most common mental health conditions in a specific age group? | SELECT Patients.Age, MentalHealthConditions.Condition, COUNT(MentalHealthConditions.ConditionID) FROM Patients INNER JOIN MentalHealthConditions ON Patients.PatientID = MentalHealthConditions.PatientID WHERE Patients.Age BETWEEN 20 AND 30 GROUP BY Patients.Age, MentalHealthConditions.Condition ORDER BY Patients.Age, CO... | gretelai_synthetic_text_to_sql |
CREATE TABLE transportation.country_electric_vehicle_sales (country VARCHAR(50), year INT, electric_vehicle_sales INT); | Which countries have the highest and lowest adoption rate of electric vehicles in the 'country_electric_vehicle_sales' table? | SELECT country, ROUND((electric_vehicle_sales * 100.0 / SUM(electric_vehicle_sales) OVER ())::numeric, 2) AS adoption_rate FROM transportation.country_electric_vehicle_sales GROUP BY country, electric_vehicle_sales, year ORDER BY adoption_rate DESC, country; | gretelai_synthetic_text_to_sql |
CREATE TABLE courts (id INT, name VARCHAR(50), location VARCHAR(50)); | Add a new court named 'High Court of New Zealand' located in 'Wellington' | INSERT INTO courts (id, name, location) VALUES (3, 'High Court of New Zealand', 'Wellington'); | gretelai_synthetic_text_to_sql |
CREATE TABLE satellites (id INT, name VARCHAR(255), manufacturer VARCHAR(255), launch_date DATE); INSERT INTO satellites (id, name, manufacturer, launch_date) VALUES (1, 'FalconSat', 'SpaceX', '2020-01-01'), (2, 'Cubesat', 'Blue Origin', '2019-01-01'); | What is the name and manufacturer of the most recently deployed satellite? | SELECT name, manufacturer FROM satellites ORDER BY launch_date DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping_operations (operation_id INT, country_name VARCHAR(50), operation_start_date DATE, operation_end_date DATE); | Add new peacekeeping operations records for 'Brazil', 'South Africa', and 'Argentina' | INSERT INTO peacekeeping_operations (country_name, operation_start_date, operation_end_date) VALUES ('Brazil', '2021-11-15', '2022-05-30'), ('South Africa', '2020-06-01', '2021-12-31'), ('Argentina', '2019-08-08', '2020-12-25'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Green_Buildings (id INT, region VARCHAR(20), number_of_buildings INT); INSERT INTO Green_Buildings (id, region, number_of_buildings) VALUES (1, 'Europe', 5000), (2, 'Asia', 7000), (3, 'Africa', 3000); | What is the total number of green buildings in Europe? | SELECT SUM(number_of_buildings) FROM Green_Buildings WHERE region = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_infrastructure (project_id INT, project_name TEXT, start_date DATE, end_date DATE, budget INT); INSERT INTO rural_infrastructure (project_id, project_name, start_date, end_date, budget) VALUES (1, 'Water Supply', '2021-01-01', '2021-12-31', 100000), (2, 'Road Construction', '2020-04-01', '2020-12-31'... | List all the infrastructure projects in the 'rural_infrastructure' table, ordered by start date. | SELECT * FROM rural_infrastructure ORDER BY start_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE Pipelines(id INT, name TEXT, location TEXT, built DATE); INSERT INTO Pipelines(id, name, location, built) VALUES (1, 'Seaway Pipeline', 'Texas', '1970-01-01'); | Show the pipelines in Texas that were constructed in the 1970s. | SELECT name FROM Pipelines WHERE location = 'Texas' AND built BETWEEN '1970-01-01' AND '1979-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ticket_sales (ticket_id INT, city VARCHAR(50), sport VARCHAR(20), ticket_count INT); | Find the top 3 cities with the most ticket sales for football games. | SELECT city, SUM(ticket_count) AS total_sales FROM ticket_sales WHERE sport = 'football' GROUP BY city ORDER BY total_sales DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE intel_methods (agency VARCHAR(50), year INT, method VARCHAR(50), frequency INT); INSERT INTO intel_methods (agency, year, method, frequency) VALUES ('CIA', 2017, 'HUMINT', 300), ('CIA', 2017, 'SIGINT', 200), ('CIA', 2017, 'GEOINT', 100), ('MI6', 2017, 'HUMINT', 400), ('MI6', 2017, 'SIGINT', 350), ('MI6', 2... | What were the most common intelligence gathering methods used by the CIA and MI6 in 2017? | SELECT agency, method, frequency FROM intel_methods WHERE agency IN ('CIA', 'MI6') AND year = 2017; | gretelai_synthetic_text_to_sql |
CREATE TABLE Branches (branch_id INT, branch_name VARCHAR(255));CREATE TABLE Menu (dish_name VARCHAR(255), branch_id INT, price DECIMAL(5,2));CREATE TABLE Sales (sale_date DATE, dish_name VARCHAR(255), quantity INT); | What is the total revenue of each dish sold in branch 8, 9, and 10? | SELECT dish_name, SUM(quantity * price) as total_revenue FROM Sales JOIN Menu ON Sales.dish_name = Menu.dish_name WHERE branch_id IN (8, 9, 10) GROUP BY dish_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE policies (id INT, name VARCHAR(50), country VARCHAR(50), type VARCHAR(50), enactment_date DATE); INSERT INTO policies (id, name, country, type, enactment_date) VALUES (1, 'Coastal Protection Policy', 'Fiji', 'Adaptation', '2018-01-01'); INSERT INTO policies (id, name, country, type, enactment_date) VALUES ... | List all climate adaptation policies enacted by Pacific Island nations and their corresponding impact scores. | SELECT p.name, p.country, p.type, p.enactment_date, coalesce(avg(i.impact_score), 0) as avg_impact_score FROM policies p LEFT JOIN impact_assessments i ON p.id = i.policy_id WHERE p.type = 'Adaptation' AND p.country LIKE 'Pacific%' GROUP BY p.name, p.country, p.type, p.enactment_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE nfl_2021 (team TEXT, wins INT); | Find the team with the most wins in the NFL in the 2021 season. | SELECT team, MAX(wins) FROM nfl_2021 GROUP BY team ORDER BY wins DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists Projects (id INT, name VARCHAR(50), type VARCHAR(50), budget DECIMAL(10,2), start_date DATE); INSERT INTO Projects (id, name, type, budget, start_date) VALUES (1, 'Seawall', 'Resilience', 5000000.00, '2022-01-01'), (2, 'Floodgate', 'Resilience', 3000000.00, '2022-02-01'), (3, 'Bridge', 'Trans... | List all transportation projects in the state of California, along with their budgets and start dates. | SELECT name, budget, start_date FROM Projects INNER JOIN States ON Projects.id = 4 AND States.name = 'California' WHERE type = 'Transportation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT PRIMARY KEY, title VARCHAR(255), section VARCHAR(255), source VARCHAR(255)); INSERT INTO articles (id, title, section, source) VALUES (1, 'The Future of Politics', 'politics', 'New York Times'), (2, 'The Impact of Climate Change on Agriculture', 'environment', 'National Geographic'), (3, '... | Get the number of unique sources cited in all articles in the 'politics' section | SELECT COUNT(DISTINCT source) FROM articles WHERE section = 'politics'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wastewater_treatment_m3 (country VARCHAR(20), region VARCHAR(20), value FLOAT); INSERT INTO wastewater_treatment_m3 (country, region, value) VALUES ('South Africa', NULL, 3000000); | What is the minimum wastewater treatment capacity in South Africa in cubic meters? | SELECT MIN(value) FROM wastewater_treatment_m3 WHERE country = 'South Africa'; | gretelai_synthetic_text_to_sql |
CREATE TABLE equipment_sales (eq_id INT, eq_type VARCHAR(50), sale_amount INT, region VARCHAR(50)); INSERT INTO equipment_sales (eq_id, eq_type, sale_amount, region) VALUES (1, 'M1 Abrams', 5000000, 'Middle East'), (2, 'F-35', 8000000, 'Middle East'); | Get unique equipment types and sales data for 'Middle East' | SELECT DISTINCT eq_type, SUM(sale_amount) AS total_sales_amount FROM equipment_sales WHERE region = 'Middle East' GROUP BY eq_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE regional_newspapers (article_id INT, publication_date DATE, region VARCHAR(50));CREATE TABLE international_newswire (article_id INT, publication_date DATE, country VARCHAR(50)); | What is the distribution of publication dates in 'regional_newspapers' table and 'international_newswire' table? | SELECT DATE_FORMAT(publication_date, '%Y-%m-%d') AS publication_date, COUNT(*) FROM regional_newspapers GROUP BY publication_date;SELECT DATE_FORMAT(publication_date, '%Y-%m-%d') AS publication_date, COUNT(*) FROM international_newswire GROUP BY publication_date; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(100), production_budget INT, revenue INT, production_country VARCHAR(50)); INSERT INTO movies (id, title, production_budget, revenue, production_country) VALUES (1, 'MovieA', 15000000, 40000000, 'India'); INSERT INTO movies (id, title, production_budget, revenue, production_co... | What is the total revenue for movies produced in India and China? | SELECT SUM(revenue) FROM movies WHERE production_country IN ('India', 'China'); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA Maritime; CREATE TABLE Law (vessel_id INT, compliance_status VARCHAR(10)); INSERT INTO Law (vessel_id, compliance_status) VALUES (1, 'Compliant'), (2, 'Non-Compliant'), (3, 'Compliant'), (4, 'Compliant'), (5, 'Compliant'); | How many vessels are compliant with maritime law in the 'Maritime' schema? | SELECT COUNT(*) FROM Maritime.Law WHERE compliance_status = 'Compliant'; | gretelai_synthetic_text_to_sql |
CREATE TABLE athletes (id INT, age INT, program_id INT); INSERT INTO athletes (id, age, program_id) VALUES (1, 25, 1); INSERT INTO athletes (id, age, program_id) VALUES (2, 28, 2); | What is the average age of athletes in each wellbeing program? | SELECT p.program_type, AVG(a.age) AS avg_age FROM athletes a JOIN wellbeing w ON a.program_id = w.id GROUP BY p.program_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Hotels (hotel_id INT, hotel_name VARCHAR(50), city VARCHAR(50)); CREATE TABLE VirtualTours (tour_id INT, hotel_id INT, tour_name VARCHAR(50)); CREATE TABLE UserInteractions (user_id INT, tour_id INT, interaction_date DATE, completed BOOLEAN); INSERT INTO Hotels (hotel_id, hotel_name, city) VALUES (1, 'Hote... | How many users started but did not complete a virtual tour for hotels in 'CityG' in the last 30 days? | SELECT COUNT(DISTINCT ui.user_id) FROM Hotels h JOIN VirtualTours vt ON h.hotel_id = vt.hotel_id JOIN UserInteractions ui ON vt.tour_id = ui.tour_id WHERE h.city = 'CityG' AND ui.interaction_date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY) AND ui.completed = FALSE; | gretelai_synthetic_text_to_sql |
CREATE TABLE daily_production (production_date DATE, chemical VARCHAR(20), quantity INT); INSERT INTO daily_production (production_date, chemical, quantity) VALUES ('2020-01-01', 'chemical C', 300); INSERT INTO daily_production (production_date, chemical, quantity) VALUES ('2020-01-02', 'chemical C', 400); | What is the maximum quantity of chemical C produced in a single day? | SELECT production_date, max(quantity) as max_quantity FROM daily_production WHERE chemical = 'chemical C' GROUP BY production_date ORDER BY max_quantity DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, city VARCHAR(50), joined_date DATE, hours INT); INSERT INTO volunteers (id, city, joined_date, hours) VALUES (1, 'New York', '2020-01-01', 300), (2, 'Los Angeles', '2021-01-15', 450), (3, 'Chicago', '2019-12-31', 250), (4, 'New York', '2021-03-15', 500), (5, 'Los Angeles', '2021-02-10',... | What's the number of volunteers who joined after 2019 and volunteered more than 200 hours? | SELECT COUNT(*) FROM volunteers WHERE joined_date > '2019-12-31' AND hours > 200; | gretelai_synthetic_text_to_sql |
CREATE TABLE investments (fund_name VARCHAR(20), company_id INT, investment_amount FLOAT); CREATE TABLE companies (id INT, company_name VARCHAR(20), sector VARCHAR(20)); INSERT INTO investments (fund_name, company_id, investment_amount) VALUES ('Impact Fund 1', 1, 50000), ('Impact Fund 2', 2, 75000), ('Impact Fund 1', ... | What's the total investment amount made by 'Impact Fund 1' in the 'technology' sector? | SELECT SUM(investments.investment_amount) FROM investments INNER JOIN companies ON investments.company_id = companies.id WHERE investments.fund_name = 'Impact Fund 1' AND companies.sector = 'technology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE districts (id INT, district_name VARCHAR(255), state VARCHAR(255));CREATE TABLE schools (id INT, school_name VARCHAR(255), district_id INT); | What is the total number of schools and their respective districts in the state of New York? | SELECT COUNT(DISTINCT s.district_id) as num_districts, COUNT(*) as num_schools FROM schools s INNER JOIN districts d ON s.district_id = d.id WHERE d.state = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID INT PRIMARY KEY, FirstName VARCHAR(50), LastName VARCHAR(50), Email VARCHAR(100)); | Update the email address of a donor in the 'Donors' table | UPDATE Donors SET Email = 'new.email@example.com' WHERE DonorID = 101; | gretelai_synthetic_text_to_sql |
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