context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE hospitals (id INT, state CHAR(2), num_beds INT, rural BOOLEAN); INSERT INTO hospitals (id, state, num_beds, rural) VALUES (1, 'IL', 50, true), (2, 'CA', 100, false); | What is the percentage of rural hospitals in each state with less than 50 beds? | SELECT state, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as pct FROM hospitals WHERE rural = true AND num_beds < 50 GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE LandfillData (Country VARCHAR(50), Continent VARCHAR(50), LandfillCapacity INT, Year INT); INSERT INTO LandfillData (Country, Continent, LandfillCapacity, Year) VALUES ('China', 'Asia', 12345, 2015), ('China', 'Asia', 12500, 2016), ('India', 'Asia', 6789, 2015), ('India', 'Asia', 6850, 2016); | Calculate the annual change in landfill capacity for the top 2 countries in Asia with the largest capacity, starting from the earliest year reported. | SELECT LandfillData1.Country, LandfillData1.Year, LandfillData1.LandfillCapacity - LandfillData2.LandfillCapacity AS CapacityDifference FROM LandfillData LandfillData1 JOIN LandfillData LandfillData2 ON LandfillData1.Country = LandfillData2.Country AND LandfillData1.Year = LandfillData2.Year + 1 WHERE (SELECT COUNT(*) ... | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_size VARCHAR(10), cause_area VARCHAR(20), amount INT); INSERT INTO donations (id, donor_size, cause_area, amount) VALUES (1, 'large', 'health', 12000); | Delete records of donations greater than $10,000 in the 'health' cause area. | DELETE FROM donations WHERE amount > 10000 AND cause_area = 'health'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fair_trade_products (product_id INT, region VARCHAR(20), revenue DECIMAL(10,2));CREATE TABLE europe_region (region VARCHAR(20)); INSERT INTO europe_region (region) VALUES ('Western Europe'), ('Eastern Europe'); | What is the total revenue generated from fair trade products in the European region? | SELECT SUM(revenue) FROM fair_trade_products WHERE region IN (SELECT region FROM europe_region); | gretelai_synthetic_text_to_sql |
CREATE TABLE Service_Requests(City VARCHAR(20), Service VARCHAR(20), Request_Date DATE); INSERT INTO Service_Requests(City, Service, Request_Date) VALUES('Toronto', 'Waste Collection', '2022-01-01'); INSERT INTO Service_Requests(City, Service, Request_Date) VALUES('Toronto', 'Street Lighting', '2022-02-01'); INSERT INT... | How many street lighting repair requests were made in each city? | SELECT City, COUNT(*) FROM Service_Requests WHERE Service = 'Street Lighting' GROUP BY City; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu_items (menu_id INT, cuisine VARCHAR(255), calorie_count INT); | List the top 5 cuisine types with the highest average calorie intake in the 'menu_items' table, excluding meals with less than 500 calories? | SELECT cuisine, AVG(calorie_count) as avg_calories FROM menu_items WHERE calorie_count >= 500 GROUP BY cuisine ORDER BY AVG(calorie_count) DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpaceMissions(ID INT, AstronautID INT, MissionID INT); | Who are the astronauts who have flown more than one space mission? | SELECT AstronautID FROM SpaceMissions GROUP BY AstronautID HAVING COUNT(DISTINCT MissionID) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_projects (id INT, name TEXT, location TEXT, capacity INT); | Find the total installed capacity of renewable energy projects in Texas | SELECT SUM(capacity) FROM renewable_projects WHERE location = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_building_certifications (certification_name TEXT, points INTEGER); | List all Green Building certifications and their corresponding points from the 'green_building_certifications' table. | SELECT certification_name, points FROM green_building_certifications; | gretelai_synthetic_text_to_sql |
CREATE TABLE country (id INT, name VARCHAR(255)); CREATE TABLE dapps (id INT, country_id INT, name VARCHAR(255)); INSERT INTO country (id, name) VALUES (1, 'USA'), (2, 'China'), (3, 'Japan'); INSERT INTO dapps (id, country_id, name) VALUES (1, 1, 'DApp1'), (2, 1, 'DApp2'), (3, 2, 'DApp3'), (4, 3, 'DApp4'), (5, 3, 'DApp... | How many decentralized applications are registered in each country? | SELECT country.name AS Country, COUNT(dapps.id) AS Registered_DApps FROM country JOIN dapps ON country.id = dapps.country_id GROUP BY country.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (id INT, name VARCHAR(50), department VARCHAR(50)); CREATE TABLE papers (id INT, student_id INT, title VARCHAR(100)); INSERT INTO students VALUES (1, 'Dana', 'Arts'), (2, 'Ella', 'Arts'), (3, 'Finn', 'Arts'); INSERT INTO papers VALUES (1, 1, 'Paper with justice'), (2, 1, 'Paper without justice'), ... | List the graduate students in the College of Arts who have published papers with the word 'justice' in the title. | SELECT students.id, students.name FROM students INNER JOIN papers ON students.id = papers.student_id WHERE title LIKE '%justice%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE nitrogen_data (location VARCHAR(255), date DATE, nitrogen FLOAT); INSERT INTO nitrogen_data (location, date, nitrogen) VALUES ('Iowa Corn Field 1', '2021-06-01', 135.6), ('Iowa Corn Field 1', '2021-06-02', 132.7), ('Iowa Corn Field 2', '2021-06-01', 118.5); | What is the percentage of corn fields in Iowa that have a nitrogen level below 120 ppm, based on IoT sensor data? | SELECT 100.0 * COUNT(*) / (SELECT COUNT(*) FROM nitrogen_data WHERE location LIKE '%Iowa Corn Field%') FROM nitrogen_data WHERE nitrogen < 120.0 AND location LIKE '%Iowa Corn Field%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotels (hotel_id INT, name TEXT, category TEXT); INSERT INTO hotels (hotel_id, name, category) VALUES (1, 'Hotel A', 'Boutique'), (2, 'Hotel B', 'Luxury'), (3, 'Hotel C', 'City'); | How many hotels are there in each category? | SELECT category, COUNT(*) FROM hotels GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE TABLE shark_attacks (id INT PRIMARY KEY, location VARCHAR(255), year INT, type VARCHAR(255)); INSERT INTO shark_attacks (id, location, year, type) VALUES (1, 'Australia', 2020, 'Attack'); CREATE TABLE expeditions (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), year INT, type VARCHAR(255)); INSERT ... | Which research expeditions have not taken place in any country with a recorded shark attack? | SELECT e.name, e.location, e.year, e.type FROM expeditions e LEFT JOIN shark_attacks sa ON e.location = sa.location WHERE sa.location IS NULL AND e.type = 'Research'; | gretelai_synthetic_text_to_sql |
CREATE TABLE animal_population (animal_id INT, animal_name VARCHAR(50), population INT); INSERT INTO animal_population (animal_id, animal_name, population) VALUES (1, 'Tiger', 2500), (2, 'Elephant', 5000), (3, 'Lion', 3000); | What is the minimum population of any animal in the 'animal_population' table? | SELECT MIN(population) FROM animal_population; | gretelai_synthetic_text_to_sql |
CREATE TABLE OrganicProducts (ProductID INT, ProductName VARCHAR(100), Organic BOOLEAN); INSERT INTO OrganicProducts (ProductID, ProductName, Organic) VALUES (1, 'OrganicProduct1', true); INSERT INTO OrganicProducts (ProductID, ProductName, Organic) VALUES (2, 'ConventionalProduct2', false); CREATE TABLE SupplierProduc... | What is the total quantity of organic products supplied by each supplier? | SELECT S.SupplierID, S.SupplierName, SUM(SP.Quantity) as TotalOrganicQuantity FROM Suppliers S INNER JOIN SupplierProducts SP ON S.SupplierID = SP.SupplierID INNER JOIN OrganicProducts OP ON SP.ProductID = OP.ProductID WHERE OP.Organic = true GROUP BY S.SupplierID; | gretelai_synthetic_text_to_sql |
CREATE TABLE Projects (project_id INT, contractor_id INT, start_date DATE, end_date DATE); | Create a table named "Projects" with columns "project_id", "contractor_id", "start_date", and "end_date". | CREATE TABLE Projects (project_id INT, contractor_id INT, start_date DATE, end_date DATE); | gretelai_synthetic_text_to_sql |
CREATE TABLE safety_models_2 (id INT, name VARCHAR(255), type VARCHAR(255), method VARCHAR(255)); INSERT INTO safety_models_2 (id, name, type, method) VALUES (1, 'SafeGuard', 'Safety AI', 'Risk Analysis'), (2, 'SecureAI', 'Safety AI', 'Threat Detection'); | Get AI safety models using the 'Risk Analysis' method | SELECT * FROM safety_models_2 WHERE method = 'Risk Analysis'; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitarySpending (Country VARCHAR(255), Year INT, Spending DECIMAL(10,2)); INSERT INTO MilitarySpending (Country, Year, Spending) VALUES ('Brazil', 2018, 25000000), ('Brazil', 2019, 26000000), ('Brazil', 2020, 27000000), ('South Africa', 2018, 30000000), ('South Africa', 2019, 32000000), ('South Africa', 2... | What is the total spending on military innovation by Brazil, South Africa, and China from 2018 to 2020? | SELECT SUM(Spending) FROM MilitarySpending WHERE Country IN ('Brazil', 'South Africa', 'China') AND Year BETWEEN 2018 AND 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE teachers (teacher_id INT, teacher_name VARCHAR(50), subject_area VARCHAR(50)); CREATE TABLE professional_development (pd_id INT, teacher_id INT, program_name VARCHAR(50), topic VARCHAR(50)); INSERT INTO teachers (teacher_id, teacher_name, subject_area) VALUES (1, 'John Doe', 'Math'), (2, 'Jane Smith', 'Sci... | Which teachers have participated in professional development programs related to open pedagogy? | SELECT teachers.teacher_name FROM teachers INNER JOIN professional_development ON teachers.teacher_id = professional_development.teacher_id WHERE professional_development.topic = 'Open Pedagogy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Mineral_Production (year INT, month INT, neodymium_production FLOAT); | What is the average monthly production of Neodymium in 2020 from the Mineral_Production table? | SELECT AVG(neodymium_production) FROM Mineral_Production WHERE year = 2020 AND month BETWEEN 1 AND 12; | gretelai_synthetic_text_to_sql |
CREATE TABLE game_design_teams (team_id INT, designer_id INT, country VARCHAR(50)); CREATE TABLE game_design_team_members (member_id INT, team_id INT, designer_id INT); | What is the maximum number of players for any game designed by a team of at least two people from Canada? | SELECT MAX(players) FROM game_designers INNER JOIN (SELECT team_id FROM game_design_teams INNER JOIN game_design_team_members ON game_design_teams.team_id = game_design_team_members.team_id WHERE country = 'Canada' GROUP BY team_id HAVING COUNT(DISTINCT designer_id) >= 2) AS canadian_teams ON game_designers.designer_id... | gretelai_synthetic_text_to_sql |
CREATE TABLE Accidents (AccidentID INT, VesselType VARCHAR(50), IncidentLocation VARCHAR(50), IncidentYear INT); INSERT INTO Accidents VALUES (1, 'Fishing Vessel', 'Gulf of Mexico', 2021), (2, 'Cargo Ship', 'Atlantic Ocean', 2020), (3, 'Tanker', 'Pacific Ocean', 2019); | How many accidents were reported for fishing vessels in the Gulf of Mexico in 2021? | SELECT COUNT(*) FROM Accidents WHERE VesselType = 'Fishing Vessel' AND IncidentLocation = 'Gulf of Mexico' AND IncidentYear = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE donors (donor_id INT, donor_name TEXT, donation_amount FLOAT, cause TEXT, donation_date DATE); | What are the top 3 causes by total donation amount in 2022? | SELECT cause, SUM(donation_amount) as total_donation FROM donors WHERE donation_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY cause ORDER BY total_donation DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Maintenance (id INT, equipment VARCHAR(255), date DATE, labor INT, parts INT); | Insert a new record of equipment maintenance for a Jeep on Apr 30, 2021 with labor cost 200 and parts cost 100. | INSERT INTO Maintenance (equipment, date, labor, parts) VALUES ('Jeep', '2021-04-30', 200, 100); | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, product_id INT, sale_date DATE, quantity INT, price DECIMAL(10,2)); INSERT INTO sales (sale_id, product_id, sale_date, quantity, price) VALUES (1, 1, '2022-01-01', 1, 25.99), (2, 2, '2022-01-02', 2, 39.99), (3, 3, '2022-02-01', 1, 9.99); CREATE TABLE products (product_id INT, product_na... | How many skincare products are sold in the US in January? | SELECT COUNT(*) FROM sales JOIN products ON sales.product_id = products.product_id WHERE EXTRACT(MONTH FROM sale_date) = 1 AND EXTRACT(YEAR FROM sale_date) = 2022 AND category = 'Skincare' AND country = 'US'; | gretelai_synthetic_text_to_sql |
CREATE TABLE research_grants (id INT, student_id INT, country VARCHAR(50)); INSERT INTO research_grants (id, student_id, country) VALUES (1, 123, 'USA'), (2, 456, 'Canada'); | What is the total number of research grants awarded to graduate students from the USA? | SELECT COUNT(*) FROM research_grants WHERE country = 'USA'; | gretelai_synthetic_text_to_sql |
CREATE TABLE shipments (id INT, shipped_date DATE, destination VARCHAR(20)); INSERT INTO shipments (id, shipped_date, destination) VALUES (1, '2022-01-05', 'Asia'), (2, '2022-02-07', 'Europe'), (3, '2022-01-16', 'Asia'); | How many shipments were sent to 'Asia' in January? | SELECT COUNT(*) FROM shipments WHERE shipped_date >= '2022-01-01' AND shipped_date < '2022-02-01' AND destination = 'Asia'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA defense_diplomacy;CREATE TABLE nato_budget (country VARCHAR(50), budget INT, year INT);INSERT INTO nato_budget (country, budget, year) VALUES ('USA', 5000000, 2020), ('France', 3000000, 2020), ('Germany', 4000000, 2020), ('UK', 6000000, 2020); | What is the total budget allocated for defense diplomacy in the year 2020 for NATO countries? | SELECT SUM(budget) FROM defense_diplomacy.nato_budget WHERE year = 2020 AND country IN ('USA', 'France', 'Germany', 'UK'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, state VARCHAR(20)); INSERT INTO mobile_subscribers (subscriber_id, state) VALUES (1, 'NY'), (2, 'NY'), (3, 'NJ'), (4, 'CA'), (5, 'CA'); | How many mobile subscribers are there in each state? | SELECT state, COUNT(*) FROM mobile_subscribers GROUP BY state; | gretelai_synthetic_text_to_sql |
USE Biotech; CREATE TABLE if not exists GeneticResearch (projectID INT, projectName VARCHAR(255), completionDate DATE); INSERT INTO GeneticResearch (projectID, projectName, completionDate) VALUES (1, 'Project A', '2020-02-01'), (2, 'Project B', '2019-06-15'), (3, 'Project C', '2021-08-03'), (4, 'Project D', '2020-12-31... | List all genetic research projects that were completed in 2020. | SELECT * FROM GeneticResearch WHERE YEAR(completionDate) = 2020 AND MONTH(completionDate) IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12); | gretelai_synthetic_text_to_sql |
CREATE TABLE funding_sources (id INT, source_type VARCHAR(255), amount FLOAT); CREATE TABLE dance_programs (id INT, program_name VARCHAR(255), region VARCHAR(255)); | Find the total funding from government sources for dance programs in the Southern region? | SELECT SUM(funding_sources.amount) as total_funding FROM funding_sources INNER JOIN dance_programs ON funding_sources.id = dance_programs.id WHERE dance_programs.region = 'Southern' AND funding_sources.source_type = 'Government'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ProjectTypes (id INT, type VARCHAR(20));CREATE TABLE Savings (id INT, project_type_id INT, energy_savings FLOAT); | Calculate the average energy savings for each type of renewable energy project from the ProjectTypes and Savings tables | SELECT pt.type, AVG(s.energy_savings) as avg_savings FROM ProjectTypes pt INNER JOIN Savings s ON pt.id = s.project_type_id GROUP BY pt.id; | gretelai_synthetic_text_to_sql |
CREATE TABLE campaigns (id INT, condition TEXT, reach INT, region TEXT); INSERT INTO campaigns (id, condition, reach, region) VALUES (1, 'Depression', 5000, 'Africa'), (2, 'Anxiety', 6000, 'Africa'), (3, 'PTSD', 4000, 'Africa'), (4, 'Bipolar', 7000, 'Africa'), (5, 'OCD', 3000, 'Africa'); | List the mental health conditions with the least number of associated public awareness campaigns in Africa. | SELECT condition, MIN(reach) as least_reach FROM campaigns WHERE region = 'Africa' GROUP BY condition; | gretelai_synthetic_text_to_sql |
CREATE TABLE machinery (machine_id INT, manufacturer VARCHAR(20)); CREATE TABLE maintenance (machine_id INT, maintenance VARCHAR(20)); INSERT INTO machinery (machine_id, manufacturer) VALUES (1, 'ABC Corp'), (2, 'XYZ Inc'), (3, 'ABC Corp'); INSERT INTO maintenance (machine_id, maintenance) VALUES (1, 'oil change'), (3,... | What is the total number of machines in the 'machinery' table, excluding any machines that also appear in the 'maintenance' table? | SELECT COUNT(*) FROM machinery WHERE machine_id NOT IN (SELECT machine_id FROM maintenance); | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (product_type VARCHAR(20), revenue DECIMAL(10,2)); INSERT INTO sales (product_type, revenue) VALUES ('organic skincare', 5000), ('conventional skincare', 7000), ('organic makeup', 3000), ('conventional makeup', 9000); | Calculate the total sales revenue of organic skincare products | SELECT SUM(revenue) FROM sales WHERE product_type = 'organic skincare'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CulturalCompetency (ID INT, Training VARCHAR(50), State VARCHAR(50)); INSERT INTO CulturalCompetency (ID, Training, State) VALUES (1, 'Training 1', 'Texas'); INSERT INTO CulturalCompetency (ID, Training, State) VALUES (2, 'Training 2', 'Texas'); | How many cultural competency trainings have been conducted in Texas? | SELECT COUNT(*) FROM CulturalCompetency WHERE State = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE research_papers (paper_id INT, title VARCHAR(50), publication_month DATE); INSERT INTO research_papers (paper_id, title, publication_month) VALUES (1, 'Autonomous Driving Algorithms', '2022-01-01'), (2, 'Deep Learning for Self-Driving Cars', '2022-02-01'), (3, 'LiDAR Sensor Technology in AVs', '2022-02-15'... | Find the number of autonomous driving research papers published per month in the 'research_papers' table. | SELECT EXTRACT(MONTH FROM publication_month) month, COUNT(*) papers_per_month FROM research_papers GROUP BY month ORDER BY month; | gretelai_synthetic_text_to_sql |
CREATE TABLE fairness (id INT, project_name VARCHAR(255), region VARCHAR(255), start_date DATE); INSERT INTO fairness (id, project_name, region, start_date) VALUES (1, 'Fairness in AI Algorithms', 'North America', '2020-01-01'), (2, 'AI Ethics in Europe', 'Europe', '2021-03-15'), (3, 'Equitable AI in Asia', 'Asia', '20... | How many AI fairness projects have been initiated in the last 2 years, by region? | SELECT region, COUNT(*) as num_projects, RANK() OVER (PARTITION BY 1 ORDER BY COUNT(*) DESC) as rank FROM fairness WHERE start_date >= DATEADD(year, -2, CURRENT_DATE) GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE municipal_water_use (province TEXT, water_consumption FLOAT); INSERT INTO municipal_water_use (province, water_consumption) VALUES ('Ontario', 1500000), ('Quebec', 1200000), ('British Columbia', 2000000); | Which provinces in Canada have a higher than average water consumption in the municipal sector? | SELECT province FROM municipal_water_use WHERE water_consumption > (SELECT AVG(water_consumption) FROM municipal_water_use); | gretelai_synthetic_text_to_sql |
CREATE TABLE Members (MemberID INT, Name VARCHAR(50), Age INT, Membership VARCHAR(20)); CREATE TABLE Distance (DistanceID INT, MemberID INT, Distance INT, Date DATE); INSERT INTO Members (MemberID, Name, Age, Membership) VALUES (1, 'Sophia Garcia', 30, 'Platinum'), (2, 'Daniel Kim', 25, 'Gold'), (3, 'Fatima Ahmed', 35,... | What is the total distance covered by all members with a Platinum membership in the last month? | SELECT SUM(Distance) FROM Members JOIN Distance ON Members.MemberID = Distance.MemberID WHERE Membership = 'Platinum' AND Date >= DATEADD(MONTH, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE LunchMenu (id INT, name VARCHAR(255), calories INT); | What is the maximum and minimum calorie intake for each meal in the lunch menu? | SELECT name, MAX(calories) AS max_calories, MIN(calories) AS min_calories FROM LunchMenu GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Visitors (ID INT, Age INT, Gender VARCHAR(10), Rating INT, City VARCHAR(20), Country VARCHAR(20), Ethnicity VARCHAR(20)); INSERT INTO Visitors (ID, Age, Gender, Rating, City, Country, Ethnicity) VALUES (1, 35, 'Female', 8, 'Sydney', 'Australia', 'Indigenous'); CREATE TABLE Exhibitions (ID INT, Title VARCHA... | What is the number of visitors who identified as Indigenous that attended in-person exhibitions in Sydney, Australia in 2025 and their average rating? | SELECT AVG(Visitors.Rating), COUNT(Visitors.ID) FROM Visitors INNER JOIN Exhibitions ON Visitors.City = Exhibitions.City AND Visitors.Country = Exhibitions.Country WHERE Exhibitions.InPerson = TRUE AND Visitors.Ethnicity = 'Indigenous' AND Exhibitions.Date BETWEEN '2025-01-01' AND '2025-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE neodymium_prices (year INT, country TEXT, price FLOAT); INSERT INTO neodymium_prices (year, country, price) VALUES (2017, 'Australia', 85.5), (2018, 'Australia', 91.2), (2019, 'Australia', 88.7), (2020, 'Australia', 94.3), (2021, 'Australia', 98.1); | What is the average price of neodymium produced in Australia in the last 5 years? | SELECT AVG(price) FROM neodymium_prices WHERE country = 'Australia' AND year >= 2017 AND year <= 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE investment (id INT, company_id INT, investor TEXT, year INT, amount FLOAT); INSERT INTO investment (id, company_id, investor, year, amount) VALUES (1, 1, 'First Solar', 2020, 5000000.0); CREATE TABLE company (id INT, name TEXT, industry TEXT, founder TEXT, PRIMARY KEY (id)); INSERT INTO company (id, name, ... | What is the average investment amount for Indigenous-founded startups in the renewable energy industry? | SELECT AVG(i.amount) FROM investment i JOIN company c ON i.company_id = c.id WHERE c.founder = 'Indigenous' AND c.industry = 'Renewable Energy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE rare_earth_market_trends ( id INT PRIMARY KEY, year INT, country VARCHAR(255), element VARCHAR(255), price_usd FLOAT); | Update the rare_earth_market_trends table to reflect the decreased samarium price in Japan | WITH updated_price AS (UPDATE rare_earth_market_trends SET price_usd = 12.8 WHERE year = 2021 AND country = 'Japan' AND element = 'Samarium') SELECT * FROM rare_earth_market_trends WHERE country = 'Japan' AND element = 'Samarium'; | gretelai_synthetic_text_to_sql |
CREATE TABLE dams (id INT, name VARCHAR(50), location VARCHAR(50), age INT, height FLOAT); INSERT INTO dams (id, name, location, age, height) VALUES (1, 'Hoover', 'Nevada', 86, 221.4); | Which dams in the 'public_works' schema are located in seismic zones and have an 'age' greater than 50 years? | SELECT name, location, age FROM dams WHERE location IN (SELECT location FROM seismic_zones) AND age > 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE Spacecraft (id INT, name TEXT, manufacturer TEXT, launch_date DATE); | What is the earliest and latest launch date for each spacecraft? | SELECT name, MIN(launch_date) AS earliest_launch, MAX(launch_date) AS latest_launch FROM Spacecraft GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE FireIncidents (id INT, incident_id INT, incident_time TIME, district VARCHAR(255)); INSERT INTO FireIncidents (id, incident_id, incident_time, district) VALUES (1, 1, '12:00:00', 'Downtown'), (2, 2, '21:00:00', 'Uptown'), (3, 3, '06:00:00', 'Harbor'), (4, 4, '18:00:00', 'International'), (5, 5, '09:00:00',... | What is the average response time for fire incidents in the 'North' district for the current month? | SELECT district, AVG(TIMESTAMP_DIFF(MINUTE, '00:00:00', incident_time)) as avg_response_time FROM FireIncidents WHERE district = 'North' AND incident_time BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) AND CURRENT_DATE GROUP BY district; | gretelai_synthetic_text_to_sql |
CREATE TABLE IntelligenceOperations (Operation VARCHAR(50), Type VARCHAR(50)); INSERT INTO IntelligenceOperations (Operation, Type) VALUES ('Operation Red Sparrow', 'Military'), ('Operation Moonlight', 'Cybersecurity'), ('Operation Glowing Symphony', 'Cybersecurity'), ('Operation Olympic Games', 'Cybersecurity'), ('Ope... | What are the different types of intelligence operations that intersect with military operations? | SELECT Operation FROM IntelligenceOperations WHERE Type = 'Military' INTERSECT SELECT Operation FROM IntelligenceOperations WHERE Type = 'Cybersecurity'; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (id INT, name VARCHAR(50), genre VARCHAR(50)); INSERT INTO artists (id, name, genre) VALUES (1, 'The Beatles', 'Rock'), (2, 'Queen', 'Rock'), (3, 'Taylor Swift', 'Pop'), (4, 'BTS', 'K-Pop'); | Which artists belong to the 'Rock' genre? | SELECT name FROM artists WHERE genre = 'Rock'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Vessels (ID INT, Name VARCHAR(255), SafetyScore INT, Arrival DATETIME, Destination VARCHAR(255)); INSERT INTO Vessels (ID, Name, SafetyScore, Arrival, Destination) VALUES (5, 'Pacific Voyager', 92, '2022-02-21 10:00:00', 'Japan'), (6, 'Marine Marvel', 95, '2022-02-18 15:00:00', 'Japan'); | What is the percentage of vessels with a safety score higher than 85 that arrived in Japan in the last week? | SELECT COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Vessels WHERE SafetyScore > 85 AND Arrival >= DATE_SUB(CURRENT_DATE, INTERVAL 1 WEEK)) as Percentage FROM Vessels WHERE SafetyScore > 85 AND Arrival >= DATE_SUB(CURRENT_DATE, INTERVAL 1 WEEK) AND Destination = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Name VARCHAR(100), Age INT, FavoriteGenre VARCHAR(50), VRPossible BOOLEAN); INSERT INTO Players (PlayerID, Name, Age, FavoriteGenre, VRPossible) VALUES (1, 'John Doe', 25, 'Action', true), (2, 'Jane Smith', 28, 'Adventure', true), (3, 'James Johnson', 30, 'Simulation', true), (4, 'Em... | What's the average age of players who play simulation games on VR platforms? | SELECT AVG(Age) FROM Players WHERE FavoriteGenre = 'Simulation' AND VRPossible = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE companies (id INT, name TEXT, industry TEXT, founders_underrepresented_communities BOOLEAN, founding_date DATE); | How many companies were founded by people from underrepresented communities in the transportation sector in 2020? | SELECT COUNT(*) FROM companies WHERE founders_underrepresented_communities = true AND industry = 'transportation' AND YEAR(founding_date) = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpaceExplorationMissions (id INT, country VARCHAR(50), mission_year INT, mission_outcome BOOLEAN); INSERT INTO SpaceExplorationMissions (id, country, mission_year, mission_outcome) VALUES (1, 'USA', 2000, true), (2, 'USA', 2010, false), (3, 'China', 2015, true), (4, 'India', 2017, true), (5, 'Russia', 2018... | What is the total number of space exploration missions for each country? | SELECT country, COUNT(*) as total_missions FROM SpaceExplorationMissions GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE startups(id INT, name TEXT, country TEXT, founder_gender TEXT); INSERT INTO startups(id, name, country, founder_gender) VALUES (1, 'StartupA', 'USA', 'Female'), (2, 'StartupB', 'Canada', 'Male'), (3, 'StartupC', 'USA', 'Female'), (4, 'StartupD', 'Mexico', 'Female'), (5, 'StartupE', 'Brazil', 'Male'); | What is the number of startups founded by women in each country? | SELECT country, founder_gender, COUNT(*) as num_startups FROM startups GROUP BY country, founder_gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_sequestration (id INT PRIMARY KEY, ecosystem TEXT, region TEXT, sequestration_rate FLOAT); INSERT INTO carbon_sequestration (id, ecosystem, region, sequestration_rate) VALUES (1, 'Temperate Rainforest', 'North America', 28); | Update the carbon_sequestration table to set the sequestration_rate to 30 tons/hectare for 'Temperate Rainforest' in 'North America' | UPDATE carbon_sequestration SET sequestration_rate = 30 WHERE ecosystem = 'Temperate Rainforest' AND region = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name TEXT, league TEXT, sport TEXT); INSERT INTO teams (team_id, team_name, league, sport) VALUES (1, 'Barcelona', 'La Liga', 'Football'), (2, 'Real Madrid', 'La Liga', 'Football'); CREATE TABLE games (game_id INT, team_id INT, goals INT, season_year INT); INSERT INTO games (game_i... | What is the highest number of goals scored by the 'Real Madrid' football club in a single game in the year 2020? | SELECT MAX(goals) FROM games WHERE team_id = (SELECT team_id FROM teams WHERE team_name = 'Real Madrid') AND season_year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE GraduateStudents(StudentID INT, Department VARCHAR(20), NumPapers INT); INSERT INTO GraduateStudents(StudentID, Department, NumPapers) VALUES (1, 'Mathematics', 3), (2, 'Mathematics', 1), (3, 'Mathematics', 2), (4, 'Physics', 0); | Count the number of graduate students who have published more than two papers in the Mathematics department. | SELECT COUNT(*) FROM GraduateStudents WHERE Department = 'Mathematics' AND NumPapers > 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE PrecipitationData (location VARCHAR(50), year INT, month INT, precipitation FLOAT); INSERT INTO PrecipitationData (location, year, month, precipitation) VALUES ('Norrbotten County', 2020, 1, 80.5), ('Norrbotten County', 2020, 2, 75.2), ('Norrbotten County', 2020, 3, 85.6); | What is the average precipitation per month in Sweden's Norrbotten County? | SELECT location, AVG(precipitation) FROM PrecipitationData WHERE location = 'Norrbotten County' GROUP BY year, month; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id int, product_category varchar(50), avg_rating decimal(2,1));CREATE TABLE reviews (review_id int, product_id int, rating int); | What is the average rating of products in each category? | SELECT products.product_category, AVG(reviews.rating) FROM reviews JOIN products ON reviews.product_id = products.product_id GROUP BY products.product_category; | gretelai_synthetic_text_to_sql |
CREATE TABLE Products (ProductID int, SupplierID int, QuantitySold int); | How many products are sold by each supplier? | SELECT SupplierID, SUM(QuantitySold) FROM Products GROUP BY SupplierID; | gretelai_synthetic_text_to_sql |
CREATE TABLE Countries (country_name TEXT, records INTEGER); INSERT INTO Countries (country_name, records) VALUES ('Country A', 5), ('Country B', 10), ('Country C', 8); | How many swimming records has each country set? | SELECT country_name, records FROM Countries; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sales (sale_id INT, menu_id INT, sale_date DATE, quantity INT, price DECIMAL(5,2)); INSERT INTO Sales (sale_id, menu_id, sale_date, quantity, price) VALUES (1, 1, '2022-01-01', 2, 12.99), (2, 2, '2022-01-02', 1, 10.99), (3, 3, '2022-01-03', 3, 9.99); CREATE TABLE Menus (menu_id INT, category VARCHAR(255), ... | What is the total revenue generated from vegetarian dishes? | SELECT SUM(quantity * price) FROM Sales JOIN Menus ON Sales.menu_id = Menus.menu_id WHERE Menus.category = 'Vegetarian'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Creative_AI (application_name TEXT, region TEXT); INSERT INTO Creative_AI VALUES ('AI Painter', 'Europe'), ('AI Musician', 'North America'), ('AI Writer', 'Asia'); | Which regions are underrepresented in creative AI applications? | SELECT region FROM Creative_AI WHERE application_name NOT IN ('AI Painter', 'AI Musician'); | gretelai_synthetic_text_to_sql |
CREATE TABLE reporters (reporter_id INT, name VARCHAR(50)); CREATE TABLE articles (article_id INT, title VARCHAR(100), publication_date DATE, views INT); CREATE TABLE reporter_articles (article_id INT, reporter_id INT); INSERT INTO reporters (reporter_id, name) VALUES (1, 'Anna Smith'), (2, 'Bella Johnson'), (3, 'Mike ... | How many articles were published by each reporter in the "reporter_articles" table? | SELECT r.name, COUNT(ra.article_id) as articles_count FROM reporters r JOIN reporter_articles ra ON r.reporter_id = ra.reporter_id GROUP BY r.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE weather (region VARCHAR(255), temperature INT, date DATE); INSERT INTO weather (region, temperature, date) VALUES ('North', 25, '2022-07-01'), ('South', 30, '2022-07-01'), ('East', 28, '2022-07-01'), ('West', 22, '2022-07-01'); | What is the average temperature in each region for the month of July, in descending order? | SELECT region, AVG(temperature) as avg_temp FROM weather WHERE date BETWEEN '2022-07-01' AND '2022-07-31' GROUP BY region ORDER BY avg_temp DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE properties (type VARCHAR(10), borough VARCHAR(20), price INT); INSERT INTO properties (type, borough, price) VALUES ('Co-op', 'Bronx', 500000); INSERT INTO properties (type, borough, price) VALUES ('Condo', 'Bronx', 700000); | What is the average listing price for co-op properties in the Bronx? | SELECT AVG(price) FROM properties WHERE type = 'Co-op' AND borough = 'Bronx'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SecurityIncidents (incident_id INT, incident_region VARCHAR(50), incident_date DATE); | What are the number of security incidents per region for the last year? | SELECT incident_region, COUNT(*) FROM SecurityIncidents WHERE incident_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) AND CURRENT_DATE GROUP BY incident_region; | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity_metrics (company_id INT, female_employees_percentage DECIMAL, minority_employees_percentage DECIMAL); | List all diversity metrics for startups founded after 2015 | SELECT company_id, female_employees_percentage, minority_employees_percentage FROM diversity_metrics dm INNER JOIN company c ON dm.company_id = c.id WHERE c.founding_year > 2015; | gretelai_synthetic_text_to_sql |
CREATE TABLE rd_expenditure_3 (dept TEXT, year INT, amount FLOAT); INSERT INTO rd_expenditure_3 (dept, year, amount) VALUES ('Neurology', 2018, 2000000), ('Cardiology', 2018, 1500000), ('Neurology', 2019, 2500000), ('Cardiology', 2019, 2000000), ('Neurology', 2020, 2800000); | What is the total R&D expenditure for the neurology department for the year 2019? | SELECT SUM(amount) AS total_rd_expenditure FROM rd_expenditure_3 WHERE dept = 'Neurology' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE financial_capability (customer_id INT, name VARCHAR(50), financial_capability_score INT); INSERT INTO financial_capability (customer_id, name, financial_capability_score) VALUES (104, 'Raul Garcia', 95), (105, 'Sofia Herrera', 70), (106, 'Maria Rodriguez', 90); | What is the maximum financial capability score for customers in the 'financial_capability' table? | SELECT MAX(financial_capability_score) FROM financial_capability; | gretelai_synthetic_text_to_sql |
CREATE TABLE esports_events (id INT, year INT, location VARCHAR(20)); INSERT INTO esports_events (id, year, location) VALUES (1, 2022, 'USA'), (2, 2022, 'Germany'), (3, 2021, 'France'); | How many esports events were held in total in 2021? | SELECT COUNT(*) FROM esports_events WHERE year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE product_ratings (product_id INT, product_name VARCHAR(255), manufacturer_country VARCHAR(50), rating DECIMAL(2,1)); INSERT INTO product_ratings (product_id, product_name, manufacturer_country, rating) VALUES (1, 'Product A', 'Spain', 4.5), (2, 'Product B', 'Italy', 4.2), (3, 'Product C', 'Spain', 4.8); | What is the rank of products based on their rating, for products manufactured in Spain? | SELECT product_id, product_name, rating, RANK() OVER (ORDER BY rating DESC) as rank FROM product_ratings WHERE manufacturer_country = 'Spain'; | gretelai_synthetic_text_to_sql |
CREATE TABLE union_members (member_id INT, industry VARCHAR(15)); INSERT INTO union_members (member_id, industry) VALUES (1, 'Manufacturing'), (2, 'Construction'), (3, 'Retail'); | What percentage of union members work in construction? | SELECT 100.0 * COUNT(*) / (SELECT COUNT(*) FROM union_members) as pct_in_construction FROM union_members WHERE industry = 'Construction'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mineral_impact (mineral TEXT, impact_score DECIMAL); INSERT INTO mineral_impact (mineral, impact_score) VALUES ('Gold', 18.5), ('Silver', 15.7), ('Copper', 14.3), ('Iron', 12.9), ('Zinc', 11.2); | What is the total environmental impact score per mineral? | SELECT mineral, SUM(impact_score) FROM mineral_impact GROUP BY mineral; | gretelai_synthetic_text_to_sql |
CREATE TABLE events (id INT, category VARCHAR(10), tickets_sold INT); INSERT INTO events (id, category, tickets_sold) VALUES (1, 'Dance', 200), (2, 'Music', 300), (3, 'Theater', 150); | What was the total number of tickets sold for events in the 'Music' category? | SELECT SUM(tickets_sold) FROM events WHERE category = 'Music'; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_emissions (id INT PRIMARY KEY, element VARCHAR(10), co2_emission INT); INSERT INTO mining_emissions (id, element, co2_emission) VALUES (1, 'Neodymium', 300); INSERT INTO mining_emissions (id, element, co2_emission) VALUES (2, 'Praseodymium', 400); INSERT INTO mining_emissions (id, element, co2_emiss... | What are the average CO2 emissions for each rare earth element in the mining process? | SELECT m.element, AVG(m.co2_emission) AS avg_co2_emission FROM mining_emissions m GROUP BY m.element; | gretelai_synthetic_text_to_sql |
CREATE TABLE fleet_vehicles (id INT PRIMARY KEY, fleet_name VARCHAR(255), vehicle_type VARCHAR(255), num_electric_vehicles INT, total_vehicles INT); | Update the number of electric vehicles in the Portland fleet | UPDATE fleet_vehicles SET num_electric_vehicles = 350 WHERE fleet_name = 'Portland'; | gretelai_synthetic_text_to_sql |
CREATE TABLE tank_inventory (tank_id INT, chemical VARCHAR(20), quantity INT); INSERT INTO tank_inventory (tank_id, chemical, quantity) VALUES (5, 'A', 800), (5, 'B', 300), (6, 'A', 500); | What is the total quantity of chemicals stored in tank 5? | SELECT SUM(quantity) FROM tank_inventory WHERE tank_id = 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE Shipments (id INT, source VARCHAR(50), destination VARCHAR(50), weight FLOAT, ship_date DATE); INSERT INTO Shipments (id, source, destination, weight, ship_date) VALUES (33, 'Brazil', 'Australia', 650, '2022-12-01'); INSERT INTO Shipments (id, source, destination, weight, ship_date) VALUES (34, 'Argentina'... | Determine the number of shipments from South America to Oceania in December 2022 that had a weight greater than 500 | SELECT COUNT(*) FROM Shipments WHERE (source = 'Brazil' OR source = 'Argentina' OR source = 'Colombia') AND (destination = 'Australia' OR destination = 'New Zealand' OR destination = 'Fiji') AND weight > 500 AND ship_date BETWEEN '2022-12-01' AND '2022-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CityBudget (CityName VARCHAR(50), Department VARCHAR(50), Budget INT); INSERT INTO CityBudget (CityName, Department, Budget) VALUES ('CityA', 'Parks', 5000000), ('CityA', 'Roads', 7000000), ('CityB', 'Parks', 6000000), ('CityB', 'Roads', 8000000); | What is the average budget per department for each city? | SELECT CityName, Department, AVG(Budget) OVER(PARTITION BY CityName) as AvgBudgetPerCity FROM CityBudget; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artists (artist_name TEXT, location TEXT, num_concerts INTEGER); INSERT INTO Artists (artist_name, location, num_concerts) VALUES ('Artist A', 'Chicago', 200), ('Artist B', 'Miami', 300), ('Artist C', 'Atlanta', 400), ('Artist D', 'Seattle', 500), ('Artist D', 'New York', 100), ('Artist D', 'Los Angeles', ... | Determine the total number of concerts held by artists who have never held a concert in New York or Los Angeles. | SELECT SUM(num_concerts) as total_concerts FROM Artists WHERE artist_name NOT IN (SELECT artist_name FROM Artists WHERE location IN ('New York', 'Los Angeles')); | gretelai_synthetic_text_to_sql |
CREATE TABLE SkyHigh.AircraftSales (id INT, manufacturer VARCHAR(255), model VARCHAR(255), quantity INT, price DECIMAL(10,2), buyer_country VARCHAR(255), sale_date DATE); | What is the total number of military aircraft sold by SkyHigh to the Japanese government? | SELECT SUM(quantity) FROM SkyHigh.AircraftSales WHERE buyer_country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE clients (client_id INT, name VARCHAR(255)); INSERT INTO clients (client_id, name) VALUES (1, 'ABC Corp'), (2, 'XYZ Inc'), (3, 'DEF Ltd'); CREATE TABLE billing (bill_id INT, client_id INT, amount DECIMAL(10,2)); INSERT INTO billing (bill_id, client_id, amount) VALUES (1, 1, 500.00), (2, 1, 750.00), (3, 2, 6... | What is the total billing amount for each client, grouped by client? | SELECT clients.name, SUM(billing.amount) FROM billing JOIN clients ON billing.client_id = clients.client_id GROUP BY clients.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE chemical_table (chemical_id INT, chemical_name VARCHAR(50), safety_rating INT); | Update the safety_rating of 'Methyl Ethyl Ketone' to 3 in the chemical_table | UPDATE chemical_table SET safety_rating = 3 WHERE chemical_name = 'Methyl Ethyl Ketone'; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (id INT, name VARCHAR(50), start_date DATE, launch_country VARCHAR(50)); INSERT INTO space_missions VALUES (1, 'Apollo 11', '1969-07-16', 'USA'), (2, 'Apollo 13', '1970-04-11', 'USA'), (3, 'Mars Pathfinder', '1996-12-04', 'USA'), (4, 'Cassini-Huygens', '1997-10-15', 'France'); | What are the launch dates of space missions having the same launch country? | SELECT name, launch_country, start_date FROM space_missions WHERE launch_country IN (SELECT launch_country FROM space_missions GROUP BY launch_country HAVING COUNT(*) > 1); | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (title VARCHAR(255), genre VARCHAR(50), budget INT, release_year INT); CREATE TABLE tv_shows (title VARCHAR(255), genre VARCHAR(50), budget INT, release_year INT); INSERT INTO movies (title, genre, budget, release_year) VALUES ('Movie7', 'Comedy', 22000000, 2020), ('Movie8', 'Drama', 28000000, 2021)... | Find the average budget for TV shows and movies released in the last 3 years | SELECT AVG(budget) FROM (SELECT budget FROM movies WHERE release_year >= (SELECT YEAR(CURRENT_DATE()) - 3) UNION ALL SELECT budget FROM tv_shows WHERE release_year >= (SELECT YEAR(CURRENT_DATE()) - 3)) as combined; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (id INT, name TEXT, gender TEXT); INSERT INTO artists (id, name, gender) VALUES (1, 'Artist 1', 'Male'), (2, 'Artist 2', 'Female'), (3, 'Artist 3', 'Female'), (4, 'Artist 4', 'Non-binary'); CREATE TABLE artworks (id INT, title TEXT, artist_id INT); INSERT INTO artworks (id, title, artist_id) VALUES... | What is the total number of artworks by female artists? | SELECT COUNT(*) FROM artworks a INNER JOIN artists ar ON a.artist_id = ar.id WHERE ar.gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists binance_assets (asset_id INT, asset_name VARCHAR(255), total_txn_volume DECIMAL(18,2)); INSERT INTO binance_assets (asset_id, asset_name, total_txn_volume) VALUES (1, 'BNB', 150000000), (2, 'BUSD', 120000000), (3, 'CAKE', 90000000), (4, 'ADA', 80000000), (5, 'XRP', 70000000), (6, 'DOT', 60000... | What is the average transaction volume for each digital asset in the Binance Smart Chain network? | SELECT asset_name, AVG(total_txn_volume) as avg_volume FROM binance_assets GROUP BY asset_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE justice_schemas.legal_tech_tools (id INT PRIMARY KEY, provider_id INT, tool_name TEXT, tool_type TEXT); CREATE TABLE justice_schemas.legal_tech_providers (id INT PRIMARY KEY, provider_name TEXT); | How many legal technology tools are available in the justice_schemas.legal_tech_tools table for each provider in the justice_schemas.legal_tech_providers table? | SELECT ltp.provider_name, COUNT(*) FROM justice_schemas.legal_tech_tools ltt INNER JOIN justice_schemas.legal_tech_providers ltp ON ltt.provider_id = ltp.id GROUP BY ltp.provider_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE eco_hotels (hotel_id INT, name TEXT, rating FLOAT, country TEXT); INSERT INTO eco_hotels (hotel_id, name, rating, country) VALUES (1, 'Eco Lodge', 4.5, 'Netherlands'), (2, 'Green Hotel', 4.2, 'Netherlands'), (3, 'Duurzaam Hotel', 4.7, 'Belgium'); | What is the average rating of eco-friendly hotels in the Netherlands and Belgium? | SELECT AVG(rating) FROM eco_hotels WHERE country IN ('Netherlands', 'Belgium'); | gretelai_synthetic_text_to_sql |
CREATE TABLE mobile_subscribers (subscriber_id INT, name VARCHAR(50), data_usage_gb FLOAT, region VARCHAR(50)); INSERT INTO mobile_subscribers (subscriber_id, name, data_usage_gb, region) VALUES (1, 'John Doe', 25.6, 'San Francisco'), (2, 'Jane Smith', 30.9, 'San Francisco'), (3, 'Alice Johnson', 40.5, 'New York'), (4,... | Which mobile subscribers have the top 5 highest data usage in each region? | SELECT region, subscriber_id, name, data_usage_gb, NTILE(5) OVER (PARTITION BY region ORDER BY data_usage_gb DESC) as tier FROM mobile_subscribers ORDER BY region, tier; | gretelai_synthetic_text_to_sql |
CREATE TABLE security_incidents (incident_id INT, incident_date DATE, system_id INT);CREATE TABLE systems (system_id INT, system_name VARCHAR(255), system_location VARCHAR(255)); | What are the total number of security incidents and the number of unique systems involved in each incident in the last quarter? | SELECT COUNT(*) as total_incidents, COUNT(DISTINCT system_id) as unique_systems_per_incident, system_location FROM security_incidents si JOIN systems s ON si.system_id = s.system_id WHERE incident_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) GROUP BY system_location; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, City VARCHAR(20)); INSERT INTO Players (PlayerID, City) VALUES (1, 'Tokyo'), (2, 'Los Angeles'), (3, 'New York'), (4, 'Paris'), (5, 'Tokyo'), (6, 'Los Angeles'); | How many players are there in each city? | SELECT City, COUNT(*) AS Count FROM Players GROUP BY City ORDER BY Count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE StreamingData (StreamID INT, UserID INT, SongID INT, StreamDate DATE); INSERT INTO StreamingData VALUES (1, 1, 1001, '2022-01-01'); INSERT INTO StreamingData VALUES (2, 2, 1002, '2022-01-02'); CREATE TABLE Users (UserID INT, UserName VARCHAR(50)); INSERT INTO Users VALUES (1, 'Alice'); INSERT INTO Users VA... | What is the average number of streams per user for a specific music streaming service? | SELECT AVG(StreamCount) FROM (SELECT COUNT(*) AS StreamCount FROM StreamingData GROUP BY UserID) AS Subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_parks (id INT, name TEXT, city TEXT, budget FLOAT); INSERT INTO public_parks (id, name, city, budget) VALUES (1, 'Central Park', 'New York', 30000000); | What is the average budget allocated to public parks in New York City? | SELECT AVG(budget) FROM public_parks WHERE city = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Accommodations (StudentID INT, DisabilityType VARCHAR(50), Region VARCHAR(50), AccommodationYear INT); INSERT INTO Accommodations (StudentID, DisabilityType, Region, AccommodationYear) VALUES (1, 'Visual Impairment', 'Midwest', 2020), (2, 'Hearing Impairment', 'Midwest', 2020), (3, 'Autism Spectrum Disorde... | What is the total number of students who received accommodations by disability type in the Midwest region for the year 2020? | SELECT COUNT(StudentID) FROM Accommodations WHERE Region = 'Midwest' AND AccommodationYear = 2020 GROUP BY DisabilityType; | gretelai_synthetic_text_to_sql |
CREATE TABLE maintenance_requests (request_id INT, vendor_name TEXT, state TEXT); CREATE TABLE equipment_maintenance (request_id INT, equipment_type TEXT); INSERT INTO maintenance_requests (request_id, vendor_name, state) VALUES (1, 'XYZ Services', 'California'), (2, 'LMN Co', 'Texas'); INSERT INTO equipment_maintenanc... | Retrieve the number of military equipment maintenance requests performed in each state | SELECT mr.state, COUNT(mr.request_id) FROM maintenance_requests mr JOIN equipment_maintenance em ON mr.request_id = em.request_id GROUP BY mr.state; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholders (id INT, age INT, gender VARCHAR(10), policy_type VARCHAR(20), premium FLOAT, state VARCHAR(20)); INSERT INTO policyholders (id, age, gender, policy_type, premium, state) VALUES (1, 32, 'Female', 'Comprehensive', 1200.00, 'California'), (2, 41, 'Male', 'Third-Party', 800.00, 'California'); CR... | What is the maximum claim amount and corresponding policy type for policyholders from California? | SELECT policy_type, MAX(claim_amount) FROM claims JOIN policyholders ON claims.policyholder_id = policyholders.id WHERE policyholders.state = 'California' GROUP BY policy_type; | gretelai_synthetic_text_to_sql |
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