context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE customers (customer_id INT, purchase_date DATE); INSERT INTO customers (customer_id, purchase_date) VALUES (1, '2021-01-01'), (2, '2021-02-01'), (3, '2021-01-15'), (4, '2021-04-01'), (5, '2021-07-01'); | How many new customers made a purchase in each quarter of 2021? | SELECT DATE_TRUNC('quarter', purchase_date) as quarter, COUNT(DISTINCT customer_id) as new_customers FROM customers WHERE purchase_date BETWEEN '2021-01-01' AND '2021-12-31' GROUP BY quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE socially_responsible_loans (loan_id INT, region_id INT, loan_amount DECIMAL(10, 2)); INSERT INTO socially_responsible_loans (loan_id, region_id, loan_amount) VALUES (1, 1, 3000.00), (2, 1, 4000.00), (3, 2, 5000.00), (4, 2, 2500.00), (5, 3, 6000.00), (6, 3, 7000.00); CREATE TABLE regions (region_id INT, reg... | Find the top 2 regions with the highest average socially responsible loan amounts, and display their names and average loan amounts. | SELECT region_name, AVG(loan_amount) AS avg_loan_amount FROM socially_responsible_loans JOIN regions ON socially_responsible_loans.region_id = regions.region_id GROUP BY region_name ORDER BY avg_loan_amount DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE production (id INT, strain TEXT, yield INT, month INT); INSERT INTO production (id, strain, yield, month) VALUES (1, 'Purple Haze', 120, 6), (2, 'Green Crack', 150, 7), (3, 'OG Kush', 135, 6), (4, 'Purple Haze', 110, 5); | What is the average production yield for the month of June? | SELECT AVG(yield) FROM production WHERE month = 6; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkers (CHWId INT, Name VARCHAR(50), State VARCHAR(50)); CREATE TABLE CulturalCompetencyTrainings (TrainingId INT, CHWId INT, TrainingDate DATE); INSERT INTO CommunityHealthWorkers (CHWId, Name, State) VALUES (1, 'Jasmine', 'Florida'), (2, 'Kareem', 'Texas'), (3, 'Leah', 'California'); INSE... | List unique cultural competency training dates for community health workers in Florida. | SELECT CHW.Name, TrainingDate FROM CommunityHealthWorkers CHW INNER JOIN CulturalCompetencyTrainings CCT ON CHW.CHWId = CCT.CHWId WHERE CHW.State = 'Florida'; | gretelai_synthetic_text_to_sql |
CREATE TABLE broadband_plans (id INT, plan_name VARCHAR(50), monthly_fee FLOAT, num_subscribers INT); INSERT INTO broadband_plans (id, plan_name, monthly_fee, num_subscribers) VALUES (1, 'Plan A', 60.0, 1000); INSERT INTO broadband_plans (id, plan_name, monthly_fee, num_subscribers) VALUES (2, 'Plan B', 70.0, 1500); IN... | What is the top broadband plan in terms of the number of subscribers and its monthly fee? | SELECT plan_name, monthly_fee, num_subscribers FROM (SELECT plan_name, monthly_fee, num_subscribers, RANK() OVER (ORDER BY num_subscribers DESC, monthly_fee DESC) as rn FROM broadband_plans) x WHERE rn = 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Military_Equipment_Sales (sale_date DATE, customer_country VARCHAR(50), sale_value INT); CREATE TABLE Geopolitical_Risk_Assessments (assessment_date DATE, customer_country VARCHAR(50), risk_score INT); INSERT INTO Military_Equipment_Sales (sale_date, customer_country, sale_value) VALUES ('2020-01-01', 'Chi... | What is the geopolitical risk assessment score for China on the earliest military equipment sale date? | SELECT R.customer_country, MIN(M.sale_date) AS earliest_sale_date, R.risk_score AS risk_assessment_score FROM Military_Equipment_Sales M JOIN Geopolitical_Risk_Assessments R ON M.customer_country = R.customer_country WHERE M.sale_date = (SELECT MIN(sale_date) FROM Military_Equipment_Sales) GROUP BY R.customer_country, ... | gretelai_synthetic_text_to_sql |
CREATE TABLE assistive_tech (id INT, device VARCHAR(50), type VARCHAR(50), description TEXT, users INT, country VARCHAR(50)); INSERT INTO assistive_tech (id, device, type, description, users, country) VALUES (3, 'Learning App', 'Mobile App', 'A mobile app that promotes digital literacy among children.', 200000, 'India'... | What is the total number of users for mobile apps that promote digital literacy in India and China? | SELECT country, SUM(users) as total_users FROM assistive_tech WHERE country IN ('India', 'China') AND type = 'Mobile App' AND description LIKE '%digital literacy%' GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(255), publication_date DATE, topic VARCHAR(50), news_org VARCHAR(50)); INSERT INTO articles (id, title, publication_date, topic, news_org) VALUES (1, 'Article1', '2021-01-01', 'Media Representation', 'Org1'), (2, 'Article2', '2021-02-15', 'Politics', 'Org2'), (3, 'Article3',... | What percentage of articles published by news organizations in Europe in 2021 focused on media representation? | SELECT (COUNT(*) FILTER (WHERE topic = 'Media Representation'))::DECIMAL / COUNT(*) AS media_representation_percentage FROM articles WHERE YEAR(publication_date) = 2021 AND news_org LIKE '%Europe%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE GraduateStudents (StudentID INT, Name VARCHAR(50), Department VARCHAR(50), AdvisorID INT); INSERT INTO GraduateStudents (StudentID, Name, Department, AdvisorID) VALUES (1001, 'Sara Smith', 'Computer Science', 2001), (1002, 'Bob Brown', 'Physics', NULL), (1003, 'Charlie Davis', 'Mathematics', 3001); | Delete records of graduate students who have not selected an advisor | DELETE FROM GraduateStudents WHERE AdvisorID IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_transportation (type VARCHAR(50), city VARCHAR(50), system VARCHAR(50), lines INT, last_updated DATE, PRIMARY KEY (type, city, system)); | Insert a new record into the "public_transportation" table with the following values: "Light Rail", "Los Angeles", "Metro", 12, "2022-01-01" | INSERT INTO public_transportation (type, city, system, lines, last_updated) VALUES ('Light Rail', 'Los Angeles', 'Metro', 12, '2022-01-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (id INT, district TEXT, year INT, cases INT); INSERT INTO cases (id, district, year, cases) VALUES (1, 'DistrictA', 2020, 25), (2, 'DistrictA', 2021, 30), (3, 'DistrictB', 2020, 10), (4, 'DistrictB', 2021, 40); | Which districts had the highest number of disaster response cases in 2020 and 2021? | SELECT district, MAX(cases) FROM cases WHERE year IN (2020, 2021) GROUP BY district ORDER BY MAX(cases) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE aus_tourism (year INT, visitors INT); INSERT INTO aus_tourism (year, visitors) VALUES (2015, 6000000), (2016, 6500000), (2017, 7000000), (2018, 7500000), (2019, 8000000), (2020, 5000000), (2021, 5500000), (2022, 6000000), (2023, 6500000); | What is the average number of visitors per year for Australia between 2015 and 2023? | SELECT AVG(visitors) FROM aus_tourism WHERE year BETWEEN 2015 AND 2023; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_life (species TEXT, ocean TEXT, biomass INT); INSERT INTO marine_life (species, ocean, biomass) VALUES ('Whale Shark', 'Indian Ocean', 2000), ('Manta Ray', 'Indian Ocean', 300), ('Tuna', 'Indian Ocean', 150), ('Dolphin', 'Indian Ocean', 100); | What is the total biomass of all marine life in the Indian Ocean, restricted to species with a recorded biomass greater than 500? | SELECT SUM(biomass) FROM marine_life WHERE ocean = 'Indian Ocean' AND biomass > 500; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists policyholders (policyholder_id INT, first_name VARCHAR(50), last_name VARCHAR(50), state VARCHAR(2), policy_type VARCHAR(20), annual_premium DECIMAL(10,2)); INSERT INTO policyholders (policyholder_id, first_name, last_name, state, policy_type, annual_premium) VALUES (1, 'John', 'Doe', 'CA', '... | List policyholders in California with auto insurance policies and their respective annual premiums, sorted by the premium in descending order. | SELECT policyholder_id, first_name, last_name, annual_premium FROM policyholders WHERE state = 'CA' AND policy_type = 'Auto' ORDER BY annual_premium DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE case_outcomes (case_id INT, outcome TEXT, precedent TEXT); | Show all unique legal precedents mentioned in case outcomes | SELECT DISTINCT precedent FROM case_outcomes; | gretelai_synthetic_text_to_sql |
CREATE TABLE public_works (id INT, project_name VARCHAR(50), location VARCHAR(50)); INSERT INTO public_works (id, project_name, location) VALUES (1, 'Park Development', 'City F'), (2, 'Sidewalk Construction', 'Neighborhood G'), (3, 'Street Lighting', 'District H'); | Find the total number of projects in the 'public_works' table. | SELECT COUNT(*) FROM public_works; | gretelai_synthetic_text_to_sql |
CREATE TABLE defense_diplomacy (diplomacy_id INT, event_name VARCHAR(50), participant_country VARCHAR(50), event_date DATE, event_description TEXT); | Show all records in the defense_diplomacy table where the participant_country is 'United States' or 'Canada' | SELECT * FROM defense_diplomacy WHERE participant_country IN ('United States', 'Canada'); | gretelai_synthetic_text_to_sql |
CREATE TABLE restaurants (restaurant_id INT, name VARCHAR(255)); CREATE TABLE inspections (inspection_id INT, restaurant_id INT, violation_count INT, date DATE); | How many food safety inspections were conducted for Restaurant Y in 2022? | SELECT COUNT(*) as inspection_count FROM inspections i WHERE i.restaurant_id = (SELECT restaurant_id FROM restaurants WHERE name = 'Restaurant Y') AND i.date BETWEEN '2022-01-01' AND '2022-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name VARCHAR(100), cause VARCHAR(50), hours DECIMAL(5, 2)); INSERT INTO volunteers VALUES (1, 'John Doe', 'Environment', 25); INSERT INTO volunteers VALUES (2, 'Jane Smith', 'Animals', 15); | List all volunteers who have contributed more than 20 hours in total, along with the number of hours they have volunteered and the causes they supported. | SELECT name, cause, SUM(hours) as total_hours FROM volunteers WHERE hours > 20 GROUP BY name, cause; | gretelai_synthetic_text_to_sql |
CREATE TABLE Product (ProductID INT, ProductName VARCHAR(50), HasVeganIngredients BOOLEAN); CREATE TABLE Rating (RatingID INT, ProductID INT, Rating INT); INSERT INTO Product (ProductID, ProductName, HasVeganIngredients) VALUES (101, 'Organic Lipstick', TRUE), (102, 'Natural Mascara', FALSE), (103, 'Vegan Foundation', ... | What is the average rating of beauty products with vegan ingredients? | SELECT AVG(r.Rating) as AverageRating FROM Product p JOIN Rating r ON p.ProductID = r.ProductID WHERE p.HasVeganIngredients = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE policyholder (id INT, name VARCHAR(50), policy_type VARCHAR(50)); CREATE TABLE claims (id INT, policyholder_id INT, claim_amount DECIMAL(10, 2)); INSERT INTO policyholder (id, name, policy_type) VALUES (1, 'John Doe', 'Auto'); INSERT INTO policyholder (id, name, policy_type) VALUES (2, 'Jane Smith', 'Home'... | List the top 3 policy types with the highest claim frequency, ordered by claim frequency in descending order. | SELECT policy_type, COUNT(*) OVER (PARTITION BY policy_type) as claim_frequency FROM policyholder p JOIN claims c ON p.id = c.policyholder_id GROUP BY policy_type ORDER BY claim_frequency DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Inventory (id INT, strain VARCHAR(255), added_date DATE); | Insert a new record for 'Purple Haze' strain in the Inventory table with an added date of 2021-08-01. | INSERT INTO Inventory (strain, added_date) VALUES ('Purple Haze', '2021-08-01'); | gretelai_synthetic_text_to_sql |
CREATE TABLE project_timeline (project VARCHAR(255), type VARCHAR(255), year INT, region VARCHAR(255)); | How many climate adaptation projects were initiated in South America in 2021? | SELECT COUNT(*) FROM project_timeline WHERE type = 'climate adaptation' AND year = 2021 AND region = 'South America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cruelty_free_sales AS SELECT sales_regions.*, products.is_cruelty_free FROM sales_regions JOIN products ON sales_regions.product_id = products.product_id; | Find the total number of cruelty-free products sold in each region. | SELECT regions.region_name, SUM(CASE WHEN cruelty_free_sales.is_cruelty_free = true THEN 1 ELSE 0 END) as total_cruelty_free_sales FROM regions JOIN cruelty_free_sales ON regions.region_id = cruelty_free_sales.region_id GROUP BY regions.region_name | gretelai_synthetic_text_to_sql |
CREATE TABLE astrophysics_research (id INT, year INT, cost FLOAT);INSERT INTO astrophysics_research (id, year, cost) VALUES (1, 2018, 1000000.0), (2, 2019, 1200000.0), (3, 2018, 1500000.0), (4, 2019, 800000.0); | What is the total cost of astrophysics research for each year? | SELECT year, SUM(cost) FROM astrophysics_research GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE carbon_prices (date DATE, region VARCHAR(255), price FLOAT); INSERT INTO carbon_prices (date, region, price) VALUES ('2020-01-01', 'EU ETS', 25), ('2020-02-01', 'EU ETS', 26), ('2021-01-01', 'EU ETS', 30), ('2021-02-01', 'EU ETS', 32); | What was the average carbon price in the EU ETS in 2020 and 2021? | SELECT AVG(price) as avg_price, YEAR(date) as year FROM carbon_prices WHERE region = 'EU ETS' GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE crop_variety (variety_id INT, add_date DATE); INSERT INTO crop_variety (variety_id, add_date) VALUES (1001, '2021-04-03'), (1002, '2021-05-17'), (1003, '2021-04-01'), (1004, '2021-05-15'), (1005, '2021-03-30'); | How many new crop varieties were added in the past month? | SELECT COUNT(*) FROM crop_variety WHERE add_date >= DATE_SUB(CURDATE(), INTERVAL 1 MONTH) AND add_date < CURDATE(); | gretelai_synthetic_text_to_sql |
CREATE TABLE SpeciesLocation (ID INT, Species VARCHAR(50), Location VARCHAR(50), Count INT, ObservationDate DATE); INSERT INTO SpeciesLocation (ID, Species, Location, Count, ObservationDate) VALUES (1, 'Starfish', 'Atlantic', 300, '2020-01-01'), (2, 'Dolphin', 'Pacific', 250, '2020-01-02'), (3, 'Shark', 'Atlantic', 400... | Show the most common marine species by location. | SELECT Location, Species, Count, RANK() OVER (PARTITION BY Location ORDER BY Count DESC) as Rank FROM SpeciesLocation; | gretelai_synthetic_text_to_sql |
CREATE TABLE cultural_heritage_site (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), year_of_establishment INT); INSERT INTO cultural_heritage_site (id, name, location, year_of_establishment) VALUES (1, 'Himeji Castle', 'Japan', 1333); | List the cultural heritage sites in Japan and their establishment years, sorted by establishment year. | SELECT chs.name, chs.year_of_establishment FROM cultural_heritage_site chs WHERE chs.location = 'Japan' ORDER BY chs.year_of_establishment; | gretelai_synthetic_text_to_sql |
CREATE TABLE ipl (team VARCHAR(50), matches_won INT); INSERT INTO ipl (team, matches_won) VALUES ('Mumbai Indians', 125), ('Chennai Super Kings', 110), ('Kolkata Knight Riders', 100); | Which team won the most matches in the IPL? | SELECT team, SUM(matches_won) AS total_matches_won FROM ipl GROUP BY team ORDER BY total_matches_won DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE factories (id INT PRIMARY KEY, name VARCHAR(50), city VARCHAR(50), adopted_circular_practices BOOLEAN); INSERT INTO factories (id, name, city, adopted_circular_practices) VALUES (1, 'Green Manufacturing', 'New York', true), (2, 'EcoStitch', 'Los Angeles', false), (3, 'Circular Weaves', 'Chicago', true), (4... | What is the number of factories in each city that have adopted circular economy practices, ordered by city? | SELECT city, COUNT(*) as num_factories FROM factories WHERE adopted_circular_practices = true GROUP BY city ORDER BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policy (PolicyID INT, PolicyType VARCHAR(20)); INSERT INTO Policy VALUES (1, 'Auto'), (2, 'Home'), (3, 'Life'); CREATE TABLE Claims (ClaimID INT, PolicyID INT, ClaimAmount DECIMAL(10,2)); INSERT INTO Claims VALUES (1, 1, 5000), (2, 1, 7000), (3, 2, 3000), (4, 3, 25000), (5, 2, 2000); | What is the policy type with the highest average claim amount? | SELECT PolicyType, AVG(ClaimAmount) as AvgClaimAmount FROM Policy P JOIN Claims C ON P.PolicyID = C.PolicyID GROUP BY PolicyType ORDER BY AvgClaimAmount DESC FETCH FIRST 1 ROWS ONLY; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (state VARCHAR(50), race_ethnicity VARCHAR(50), workers INT); INSERT INTO community_health_workers (state, race_ethnicity, workers) VALUES ('California', 'Hispanic', 200), ('California', 'White', 150), ('Texas', 'Hispanic', 250), ('Texas', 'White', 100), ('New York', 'Black', 180),... | Delete all community health workers for California with the race/ethnicity of White? | DELETE FROM community_health_workers WHERE state = 'California' AND race_ethnicity = 'White'; | gretelai_synthetic_text_to_sql |
CREATE TABLE food_justice_contributors (id INT, name TEXT, contributions FLOAT); INSERT INTO food_justice_contributors (id, name, contributions) VALUES (1, 'Contributor 1', 25000.0), (2, 'Contributor 2', 30000.0), (3, 'Contributor 3', 15000.0), (4, 'Contributor 4', 20000.0); | Who are the top 2 contributors to food justice initiatives in Asia? | SELECT name, contributions FROM (SELECT name, contributions, ROW_NUMBER() OVER (ORDER BY contributions DESC) as rank FROM food_justice_contributors WHERE country = 'Asia') as ranked_contributors WHERE rank <= 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE DefenseProjects (Id INT, Project VARCHAR(255), StartDate DATE, EndDate DATE); INSERT INTO DefenseProjects (Id, Project, StartDate, EndDate) VALUES (3, 'Air Defense System', '2017-01-01', '2021-12-31'); INSERT INTO DefenseProjects (Id, Project, StartDate, EndDate) VALUES (4, 'Drone Surveillance', '2019-06-1... | Identify defense projects with a duration greater than the average project duration. | SELECT Project, DATEDIFF(day, StartDate, EndDate) as ProjectDuration FROM DefenseProjects WHERE DATEDIFF(day, StartDate, EndDate) > (SELECT AVG(DATEDIFF(day, StartDate, EndDate)) FROM DefenseProjects); | gretelai_synthetic_text_to_sql |
CREATE TABLE smoking_data (id INT, age_group VARCHAR(20), country VARCHAR(20), smokers INT); INSERT INTO smoking_data (id, age_group, country, smokers) VALUES (1, '18-24', 'India', 5000), (2, '25-34', 'India', 8000), (3, '35-44', 'India', 10000); | What is the percentage of smokers in India by age group? | SELECT age_group, smokers * 100 / (SELECT SUM(smokers) FROM smoking_data WHERE country = 'India') FROM smoking_data WHERE country = 'India'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_name TEXT, is_ethical BOOLEAN, revenue FLOAT); INSERT INTO products (product_id, product_name, is_ethical, revenue) VALUES (1, 'Organic Cotton T-Shirt', TRUE, 25.99), (2, 'Regular Cotton T-Shirt', FALSE, 19.99); | What is the total revenue generated from ethical product sales in the United States? | SELECT SUM(revenue) FROM products WHERE is_ethical = TRUE AND country = 'United States'; | gretelai_synthetic_text_to_sql |
CREATE TABLE renewable_energy_projects (id INT, project_type VARCHAR(255), initiator VARCHAR(255), initiated_year INT, capacity FLOAT); | Insert a new record into the 'renewable_energy_projects' table for a wind farm project initiated by 'WindForce' in 2018 with a capacity of 500 MW | INSERT INTO renewable_energy_projects (id, project_type, initiator, initiated_year, capacity) VALUES (1, 'wind farm', 'WindForce', 2018, 500); | gretelai_synthetic_text_to_sql |
CREATE TABLE claims (id INT, policy_id INT, claim_amount INT); INSERT INTO claims (id, policy_id, claim_amount) VALUES (1, 1, 1500), (2, 2, 2500), (3, 3, 1000); CREATE TABLE policies (id INT, state VARCHAR(2)); INSERT INTO policies (id, state) VALUES (1, 'NY'), (2, 'TX'), (3, 'CA'); | What is the average claim amount for policies in 'TX'? | SELECT AVG(claim_amount) FROM claims JOIN policies ON claims.policy_id = policies.id WHERE policies.state = 'TX'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sales (id INT, product VARCHAR(20), size INT, country VARCHAR(10), date DATE); INSERT INTO Sales (id, product, size, country, date) VALUES (1, 'dress', 14, 'USA', '2021-08-01'), (2, 'shirt', 12, 'Canada', '2021-09-15'); | How many size 14 dresses were sold in the US in the last quarter? | SELECT COUNT(*) FROM Sales WHERE product = 'dress' AND size = 14 AND country = 'USA' AND date >= '2021-04-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE habitats (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), size INT); | Add a new habitat preservation record into the habitats table | INSERT INTO habitats (id, name, location, size) VALUES (1, 'Snow Leopard Habitat', 'Himalayas', 12000); | gretelai_synthetic_text_to_sql |
CREATE TABLE expedition (org VARCHAR(20), depth INT); INSERT INTO expedition VALUES ('Ocean Explorer', 2500), ('Ocean Explorer', 3000), ('Sea Discoverers', 2000), ('Marine Investigators', 4000), ('Marine Investigators', 4500); | Which organization has the highest average expedition depth? | SELECT org, AVG(depth) AS avg_depth FROM expedition GROUP BY org ORDER BY avg_depth DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE consumer_preferences (preference_id INT, consumer_id INT, product_id INT, shade VARCHAR(255), country VARCHAR(255)); INSERT INTO consumer_preferences (preference_id, consumer_id, product_id, shade, country) VALUES (1, 1, 1, 'Light Beige', 'USA'), (2, 2, 1, 'Medium Beige', 'Canada'), (3, 3, 2, 'Dark Beige',... | What is the most preferred foundation shade among consumers in the US? | SELECT shade, COUNT(*) AS preference_count FROM consumer_preferences WHERE product_id = 1 AND country = 'USA' GROUP BY shade ORDER BY preference_count DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE PersonalInjuryCases (CaseID INT, CaseType VARCHAR(20), AttorneyLastName VARCHAR(20), BillingAmount DECIMAL(10,2)); INSERT INTO PersonalInjuryCases (CaseID, CaseType, AttorneyLastName, BillingAmount) VALUES (1, 'Personal Injury', 'Williams', 5000.00), (2, 'Personal Injury', 'Brown', 2000.00); | List all unique attorney last names who have billed for cases in the 'Personal Injury' case type. | SELECT DISTINCT AttorneyLastName FROM PersonalInjuryCases WHERE CaseType = 'Personal Injury'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ExplainableAIs (ID INT, Model VARCHAR(255), Explainability_Score FLOAT, Date DATE, Company_Location VARCHAR(255)); INSERT INTO ExplainableAIs (ID, Model, Explainability_Score, Date, Company_Location) VALUES (1, 'ModelX', 0.88, '2022-07-25', 'USA'), (2, 'ModelY', 0.79, '2022-08-12', 'Canada'), (3, 'ModelZ',... | What is the minimum explainability score for AI models created in Q3 2022, by companies located in North America? | SELECT MIN(Explainability_Score) as Min_Score FROM ExplainableAIs WHERE Date BETWEEN '2022-07-01' AND '2022-09-30' AND Company_Location IN ('USA', 'Canada', 'Mexico'); | gretelai_synthetic_text_to_sql |
CREATE TABLE BusinessPartnerships(id INT, business_id INT, hotel_id INT); INSERT INTO BusinessPartnerships(id, business_id, hotel_id) VALUES (1, 1, 1), (2, 2, 2), (3, 3, null); CREATE TABLE LocalBusinesses(id INT, name TEXT, country TEXT); INSERT INTO LocalBusinesses(id, name, country) VALUES (1, 'Surf Shop', 'Australi... | How many local businesses have partnered with hotels in Australia? | SELECT COUNT(*) FROM BusinessPartnerships JOIN LocalBusinesses ON BusinessPartnerships.business_id = LocalBusinesses.id JOIN Hotels ON BusinessPartnerships.hotel_id = Hotels.id WHERE LocalBusinesses.country = 'Australia' AND Hotels.country = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE LinenProduction (id INT, country VARCHAR, water_usage DECIMAL); | What is the average water usage for linen production in France? | SELECT AVG(water_usage) FROM LinenProduction WHERE country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cosmetics_uk (id INT, product_name TEXT, consumer_preference FLOAT, country TEXT); INSERT INTO cosmetics_uk (id, product_name, consumer_preference, country) VALUES (1, 'Lipstick', 4.2, 'UK'), (2, 'Foundation', 4.5, 'UK'), (3, 'Mascara', 4.7, 'USA'); | What are the top 2 preferred cosmetic products by consumers from the United Kingdom? | SELECT product_name, consumer_preference FROM cosmetics_uk WHERE country = 'UK' ORDER BY consumer_preference DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE accounts (customer_id INT, account_type VARCHAR(20), balance DECIMAL(10, 2), transaction_date DATE); | Identify customers who have had a balance greater than $10,000 for at least two consecutive months, partitioned by account type. | SELECT customer_id, account_type, balance FROM (SELECT customer_id, account_type, balance, transaction_date, COUNT(*) OVER (PARTITION BY customer_id, account_type, grp) AS consecutive_months FROM (SELECT customer_id, account_type, balance, transaction_date, SUM(CASE WHEN balance > 10000 THEN 1 ELSE 0 END) OVER (PARTITI... | gretelai_synthetic_text_to_sql |
CREATE TABLE regulatory_frameworks (framework_id INT PRIMARY KEY, name VARCHAR(100), update_date DATE); INSERT INTO regulatory_frameworks (framework_id, name, update_date) VALUES (1, 'Framework1', '2022-01-15'), (2, 'Framework2', '2022-02-01'), (3, 'Framework3', '2022-03-05'); | Which regulatory frameworks in the blockchain domain have been updated in the last month? | SELECT * FROM regulatory_frameworks WHERE update_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT PRIMARY KEY, title TEXT, category TEXT, publication_date DATE, word_count INT, author_id INT); | What is the total number of articles published in the "articles" table for each unique combination of day and month? | SELECT EXTRACT(MONTH FROM publication_date) AS month, EXTRACT(DAY FROM publication_date) AS day, COUNT(*) AS articles_per_day_month FROM articles GROUP BY month, day ORDER BY month, day; | gretelai_synthetic_text_to_sql |
CREATE TABLE buildings (building_id INT, city VARCHAR(255), energy_efficiency FLOAT); INSERT INTO buildings (building_id, city, energy_efficiency) VALUES (1, 'Berlin', 150), (2, 'Berlin', 160), (3, 'Berlin', 140), (4, 'Berlin', 170), (5, 'Berlin', 130), (6, 'Paris', 180), (7, 'Paris', 190), (8, 'Paris', 175), (9, 'Lond... | What is the average energy efficiency (in kWh/m2) of buildings in the city of London? | SELECT AVG(energy_efficiency) FROM buildings WHERE city = 'London'; | gretelai_synthetic_text_to_sql |
CREATE TABLE site (site_id INT, site_name VARCHAR(50)); CREATE TABLE reactor (reactor_id INT, site_id INT, temperature DECIMAL(5,2)); INSERT INTO site (site_id, site_name) VALUES (1, 'Site A'), (2, 'Site B'); INSERT INTO reactor (reactor_id, site_id, temperature) VALUES (1, 1, 85), (2, 1, 75), (3, 2, 78), (4, 2, 68); | Show the percentage of reactors that exceed the maximum temperature limit (80 degrees Celsius) per site. | SELECT site_name, 100.0 * AVG(CASE WHEN temperature > 80 THEN 1 ELSE 0 END) AS pct_exceeded FROM reactor JOIN site ON reactor.site_id = site.site_id GROUP BY site_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE BudgetAllocation (Department VARCHAR(25), Location VARCHAR(25), Budget INT); INSERT INTO BudgetAllocation (Department, Location, Budget) VALUES ('Education', 'City A', 10000000), ('Health', 'City A', 8000000), ('Education', 'City B', 12000000); | What is the total budget allocated for education services in urban areas? | SELECT SUM(Budget) FROM BudgetAllocation WHERE Department = 'Education' AND Location = 'City A'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wind_farms (id INT, name TEXT, country TEXT, capacity_mw FLOAT); INSERT INTO wind_farms (id, name, country, capacity_mw) VALUES (1, 'Windfarm 1', 'Germany', 120.5), (2, 'Windfarm 2', 'Germany', 250.6); | What is the total capacity (MW) of wind farms in Germany? | SELECT SUM(capacity_mw) FROM wind_farms WHERE country = 'Germany' AND technology = 'onshore'; | gretelai_synthetic_text_to_sql |
CREATE TABLE fabric_costs (id INT, fabric_id INT, production_cost FLOAT); INSERT INTO fabric_costs (id, fabric_id, production_cost) VALUES (1, 1, 3.2), (2, 2, 4.1), (3, 3, 2.8), (4, 4, 3.9), (5, 5, 4.5); | Which sustainable fabric has the lowest production cost? | SELECT f.name, MIN(fc.production_cost) as lowest_cost FROM fabrics f JOIN fabric_costs fc ON f.id = fc.fabric_id WHERE f.sustainability_rating >= 4 GROUP BY f.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_development (id INT, project VARCHAR(50), status VARCHAR(10)); INSERT INTO community_development (id, project, status) VALUES (1, 'Water Supply', 'Completed'), (2, 'School Building', 'In Progress'), (3, 'Road Construction', 'Completed'); | List all unique types of 'community_development' projects and their statuses. | SELECT DISTINCT project, status FROM community_development; | gretelai_synthetic_text_to_sql |
CREATE TABLE orders (id INT, customer_id INT, dish TEXT, dish_type TEXT, location TEXT); INSERT INTO orders (id, customer_id, dish, dish_type, location) VALUES (1, 1, 'Veggie Pizza', 'Vegetarian', 'Texas'); INSERT INTO orders (id, customer_id, dish, dish_type, location) VALUES (2, 1, 'Falafel', 'Vegetarian', 'Texas'); ... | List the top 5 most ordered vegetarian dishes by customers in Texas? | SELECT dish, dish_type, COUNT(*) AS orders_count FROM orders WHERE location = 'Texas' AND dish_type = 'Vegetarian' GROUP BY dish, dish_type ORDER BY orders_count DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE DepartmentExhibits (department_name TEXT, exhibit_name TEXT, visitor_count INTEGER); INSERT INTO DepartmentExhibits (department_name, exhibit_name, visitor_count) VALUES ('Art', 'Impressionism', 2000), ('Art', 'Cubism', 1500), ('History', 'Ancient Egypt', 3000); CREATE TABLE DepartmentTotals (department_na... | Find the top 3 departments with the highest average visitor counts for their temporary exhibitions. | SELECT department_name, AVG(visitor_count) AS avg_visitor_count FROM DepartmentExhibits GROUP BY department_name ORDER BY avg_visitor_count DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE FoiaRequests ( RequestId INT, RequestDate DATE, RequestCity VARCHAR(255) ); INSERT INTO FoiaRequests (RequestId, RequestDate, RequestCity) VALUES (1, '2021-01-01', 'New York'), (2, '2020-01-01', 'New York'), (3, '2019-01-01', 'New York'); | What is the oldest FOIA request in the city of New York? | SELECT RequestCity, MIN(RequestDate) OVER (PARTITION BY RequestCity) as OldestRequestDate FROM FoiaRequests WHERE RequestCity = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE token_holders (holder_id INT, address VARCHAR(42), asset_id INT, balance DECIMAL(20, 2)); | Who are the top 10 token holders of a specific digital asset? | SELECT ah.address, SUM(th.balance) FROM token_holders th JOIN digital_assets da ON th.asset_id = da.asset_id GROUP BY ah.address ORDER BY SUM(th.balance) DESC LIMIT 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE Base (Country VARCHAR(50), Region VARCHAR(50), Number INT); INSERT INTO Base (Country, Region, Number) VALUES ('United States', 'Asia-Pacific', 120), ('Japan', 'Asia-Pacific', 20), ('South Korea', 'Asia-Pacific', 30), ('Australia', 'Asia-Pacific', 15), ('Philippines', 'Asia-Pacific', 10); | How many military bases does the US have in the Asia-Pacific region? | SELECT Country, Region, Number FROM Base WHERE Country = 'United States' AND Region = 'Asia-Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE company (id INT, name TEXT, country TEXT, rd_expenditure FLOAT); INSERT INTO company (id, name, country, rd_expenditure) VALUES (1, 'ABC Pharma', 'France', 12000000); INSERT INTO company (id, name, country, rd_expenditure) VALUES (2, 'XYZ Labs', 'France', 15000000); INSERT INTO company (id, name, country, ... | What is the minimum R&D expenditure for companies located in France? | SELECT MIN(rd_expenditure) FROM company WHERE country = 'France'; | gretelai_synthetic_text_to_sql |
CREATE TABLE if not exists mental_health_parity_laws (law_id INT, state VARCHAR(255), enactment_date DATE); INSERT INTO mental_health_parity_laws (law_id, state, enactment_date) VALUES (1, 'California', '2010-09-30'), (2, 'New York', '2016-04-01'), (3, 'Texas', '2017-06-01'); | Which mental health parity laws were enacted in California? | SELECT state, enactment_date FROM mental_health_parity_laws WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ship_inspections (id INT, inspection_date DATE, region TEXT, tonnage INT); INSERT INTO ship_inspections (id, inspection_date, region, tonnage) VALUES (1, '2020-01-01', 'Caribbean', 800), (2, '2020-02-01', 'Caribbean', 900), (3, '2019-01-01', 'Caribbean', 700); | How many ships were inspected in the 'Caribbean' sea in the year 2020, and what was the average tonnage of those ships? | SELECT COUNT(*), AVG(tonnage) FROM ship_inspections WHERE region = 'Caribbean' AND inspection_date BETWEEN '2020-01-01' AND '2020-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_generation (city VARCHAR(255), year INT, material_type VARCHAR(255), amount INT); INSERT INTO waste_generation (city, year, material_type, amount) VALUES ('San Francisco', 2020, 'Plastic', 1500), ('San Francisco', 2020, 'Paper', 2000), ('San Francisco', 2020, 'Glass', 1000); | What is the total waste generation by material type in the city of San Francisco in 2020? | SELECT material_type, SUM(amount) FROM waste_generation WHERE city = 'San Francisco' AND year = 2020 GROUP BY material_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE inventory (product_id INT, product_name VARCHAR(30), is_non_gmo BOOLEAN); INSERT INTO inventory (product_id, product_name, is_non_gmo) VALUES (1, 'Quinoa Salad', true), (2, 'Chicken Stir Fry', false); | How many non-GMO products are available? | SELECT COUNT(*) FROM inventory WHERE is_non_gmo = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE inclusive_housing (id INT, units INT, PRIMARY KEY (id)); INSERT INTO inclusive_housing (id, units) VALUES (1, 50), (2, 75), (3, 100), (4, 80); | How many inclusive housing units exist in the 'inclusive_housing' table? | SELECT COUNT(*) FROM inclusive_housing; | gretelai_synthetic_text_to_sql |
CREATE TABLE Warehouse (id INT, name VARCHAR(20), city VARCHAR(20)); INSERT INTO Warehouse (id, name, city) VALUES (1, 'Chicago', 'Chicago'), (2, 'New York', 'New York'); CREATE TABLE Handling (id INT, shipment_id INT, warehouse_id INT, pallets INT); INSERT INTO Handling (id, shipment_id, warehouse_id, pallets) VALUES ... | How many pallets were handled by each warehouse? | SELECT Warehouse.name, SUM(Handling.pallets) FROM Handling JOIN Warehouse ON Handling.warehouse_id = Warehouse.id GROUP BY Handling.warehouse_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE ocean_health_indicators (indicator_id INT PRIMARY KEY, indicator_name VARCHAR(255)); CREATE TABLE farm_locations (location_id INT PRIMARY KEY, location_name VARCHAR(255), country VARCHAR(255), ocean VARCHAR(255)); CREATE TABLE ocean_health_metrics (metric_id INT PRIMARY KEY, location_id INT, indicator_id I... | Create a view that displays ocean health metrics by location and year | CREATE VIEW ocean_health_metrics_by_location_year AS SELECT ohm.location_id, ohm.year, ohi.indicator_name, ohm.value FROM ocean_health_metrics ohm JOIN ocean_health_indicators ohi ON ohm.indicator_id = ohi.indicator_id JOIN farm_locations fl ON ohm.location_id = fl.location_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, total_assets DECIMAL(10,2)); INSERT INTO customers (customer_id, total_assets) VALUES (1, 50000), (2, 75000), (3, 30000), (4, 60000), (5, 80000); CREATE TABLE investments (customer_id INT, stock_symbol VARCHAR(5), investment_amount DECIMAL(10,2)); INSERT INTO investments (custom... | Calculate the average assets of customers who have invested in stock 'GOOG' or 'AMZN' | SELECT AVG(customers.total_assets) FROM customers INNER JOIN investments ON customers.customer_id = investments.customer_id WHERE investments.stock_symbol IN ('GOOG', 'AMZN'); | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (id INT, transaction_hash VARCHAR(255), gas_limit INT, timestamp TIMESTAMP); INSERT INTO transactions (id, transaction_hash, gas_limit, timestamp) VALUES (1, '0x123...', 21000, '2022-01-01 00:00:00'), (2, '0x456...', 22000, '2022-01-02 12:34:56'), (3, '0x789...', 20000, '2022-01-15 14:23:01'); | What is the average gas limit for transactions in the last 30 days? | SELECT AVG(gas_limit) as avg_gas_limit FROM transactions WHERE timestamp >= DATE_SUB(NOW(), INTERVAL 30 DAY); | gretelai_synthetic_text_to_sql |
CREATE TABLE diving_expeditions (id INT PRIMARY KEY, name VARCHAR(255), location VARCHAR(255), start_date DATE, end_date DATE, fuel_cost FLOAT); | What is the total amount spent on fuel for diving expeditions in the last year? | SELECT SUM(fuel_cost) FROM diving_expeditions WHERE date BETWEEN DATE_SUB(CURDATE(), INTERVAL 1 YEAR) AND CURDATE(); | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists genetics;CREATE TABLE if not exists genetics.studies (id INT, name VARCHAR(100), location VARCHAR(100)); INSERT INTO genetics.studies (id, name, location) VALUES (1, 'StudyA', 'Toronto'), (2, 'StudyB', 'Montreal'), (3, 'StudyC', 'Vancouver'); | Which genetic research studies have been conducted in Canada? | SELECT name FROM genetics.studies WHERE location = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, product_id INT, sale_date DATE, units INT); CREATE TABLE products (product_id INT, product_name VARCHAR(50), product_type VARCHAR(50)); | How many units of each garment type were sold in 2021? | SELECT p.product_type, SUM(s.units) as total_units FROM sales s JOIN products p ON s.product_id = p.product_id WHERE s.sale_date BETWEEN '2021-01-01' AND '2021-12-31' GROUP BY p.product_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_virtual_tours (hotel TEXT, region TEXT, has_virtual_tour BOOLEAN); INSERT INTO hotel_virtual_tours (hotel, region, has_virtual_tour) VALUES ('Hotel Mumbai', 'Asia', true), ('Hotel Tokyo', 'Asia', false), ('Hotel Bangkok', 'Asia', true), ('Hotel Seoul', 'Asia', false), ('Hotel Jakarta', 'Asia', true); | What is the number of hotels in 'Asia' that offer virtual tours? | SELECT COUNT(*) FROM hotel_virtual_tours WHERE region = 'Asia' AND has_virtual_tour = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE sports_teams (team_id INT, team_name VARCHAR(50)); INSERT INTO sports_teams (team_id, team_name) VALUES (1, 'TeamA'), (2, 'TeamB'); CREATE TABLE ticket_sales (ticket_id INT, team_id INT, price DECIMAL(5,2)); INSERT INTO ticket_sales (ticket_id, team_id, price) VALUES (1, 1, 75.50), (2, 1, 85.20), (3, 2, 65... | Show the total revenue for each sports team | SELECT s.team_name, SUM(t.price) FROM sports_teams s INNER JOIN ticket_sales t ON s.team_id = t.team_id GROUP BY s.team_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE MilitaryEquipmentSales (equipment_id INT, customer_country VARCHAR(50), sale_price DECIMAL(10,2)); CREATE TABLE Contracts (contract_id INT, customer_country VARCHAR(50)); INSERT INTO MilitaryEquipmentSales (equipment_id, customer_country, sale_price) VALUES (1, 'Indonesia', 500000.00), (2, 'Singapore', 900... | Find the number of military equipment sales to ASEAN countries and the number of contracts with those countries. | SELECT COUNT(*) FROM MilitaryEquipmentSales WHERE customer_country IN ('Indonesia', 'Singapore', 'Thailand', 'Malaysia', 'Philippines', 'Vietnam', 'Myanmar', 'Cambodia', 'Brunei', 'Laos') UNION SELECT COUNT(*) FROM Contracts WHERE customer_country IN ('Indonesia', 'Singapore', 'Thailand', 'Malaysia', 'Philippines', 'Vi... | gretelai_synthetic_text_to_sql |
CREATE TABLE Sustainable_Seafood_Restaurants (id INT, name VARCHAR(255), continent VARCHAR(255), revenue INT); INSERT INTO Sustainable_Seafood_Restaurants (id, name, continent, revenue) VALUES (1, 'SustainaSea', 'Europe', 500000), (2, 'OceanWise', 'North America', 800000), (3, 'SeaTrue', 'Asia', 700000), (4, 'BlueFish'... | What is the number of sustainable seafood restaurants in each continent and their total revenue? | SELECT continent, COUNT(*), SUM(revenue) FROM Sustainable_Seafood_Restaurants GROUP BY continent; | gretelai_synthetic_text_to_sql |
CREATE TABLE environmental_impact (site VARCHAR(255), score INT); INSERT INTO environmental_impact (site, score) VALUES ('Site A', 80), ('Site B', 70), ('Site C', 90), ('Site D', 60), ('Site E', 100); | Identify mining sites with the highest environmental impact scores | SELECT ei.site, ei.score FROM environmental_impact ei ORDER BY ei.score DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE peacekeeping_units (unit_id INT, commanding_officer VARCHAR(20)); | Update peacekeeping units with unit_id 104, 105, and 106 with commanding officers "Officer D", "Officer E", and "Officer F" | UPDATE peacekeeping_units SET commanding_officer = CASE unit_id WHEN 104 THEN 'Officer D' WHEN 105 THEN 'Officer E' WHEN 106 THEN 'Officer F' ELSE commanding_officer END WHERE unit_id IN (104, 105, 106); | gretelai_synthetic_text_to_sql |
CREATE TABLE therapy_sessions (session_id INT, duration INT, country VARCHAR(255)); INSERT INTO therapy_sessions (session_id, duration, country) VALUES (1, 60, 'Australia'); INSERT INTO therapy_sessions (session_id, duration, country) VALUES (2, 90, 'Australia'); | What is the maximum duration of therapy sessions in Australia? | SELECT MAX(duration) FROM therapy_sessions WHERE country = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE construction_projects (id INT, city VARCHAR(20), completion_date DATE); | Delete records from construction_projects table where city is 'NewTown' and completion_date is NULL | DELETE FROM construction_projects WHERE city = 'NewTown' AND completion_date IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE equipment_maintenance (maintenance_id INT, equipment_type TEXT, state TEXT, request_date DATE); INSERT INTO equipment_maintenance (maintenance_id, equipment_type, state, request_date) VALUES (1, 'Helicopter', 'Texas', '2022-01-10'), (2, 'Tank', 'Texas', '2021-12-20'), (3, 'Helicopter', 'Texas', '2022-05-05... | List military equipment maintenance requests for helicopters in Texas in the last 6 months, along with the number of requests. | SELECT equipment_type, COUNT(*) as requests FROM equipment_maintenance WHERE equipment_type = 'Helicopter' AND state = 'Texas' AND request_date >= '2021-12-01' GROUP BY equipment_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE ContractNegotiations (ContractID INT, Company VARCHAR(50), Equipment VARCHAR(50), NegotiationDate DATE, ContractValue DECIMAL(10, 2)); INSERT INTO ContractNegotiations (ContractID, Company, Equipment, NegotiationDate, ContractValue) VALUES (5, 'Raytheon', 'Drone Technology', '2022-01-10', 12000000); INSERT... | Which defense contractor has the highest contract value for drone technology? | SELECT ContractID, Company, Equipment, NegotiationDate, ContractValue, RANK() OVER(PARTITION BY Equipment ORDER BY ContractValue DESC) AS HighestValueContract FROM ContractNegotiations WHERE Equipment = 'Drone Technology' | gretelai_synthetic_text_to_sql |
CREATE TABLE hotel_chains (chain_id INT, chain_name TEXT, country TEXT, heritage_rating INT); INSERT INTO hotel_chains (chain_id, chain_name, country, heritage_rating) VALUES (1, 'GreenJapan', 'Japan', 85), (2, 'HeritageInn', 'Japan', 90); | Who are the top 2 hotel chains in Japan with the highest cultural heritage preservation ratings? | SELECT chain_name FROM hotel_chains WHERE country = 'Japan' ORDER BY heritage_rating DESC LIMIT 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE MarginalizedArtists (id INT, region VARCHAR(20), year INT, community VARCHAR(50), exhibitions INT); INSERT INTO MarginalizedArtists (id, region, year, community, exhibitions) VALUES (15, 'Caribbean', 2019, 'Marginalized', 3); INSERT INTO MarginalizedArtists (id, region, year, community, exhibitions) VALUES... | How many artists from historically marginalized communities had exhibitions in the Caribbean in 2019? | SELECT SUM(exhibitions) FROM MarginalizedArtists WHERE region = 'Caribbean' AND year = 2019 AND community = 'Marginalized'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Investments (CustomerID INT, Market VARCHAR(20), Value DECIMAL(10,2)); INSERT INTO Investments (CustomerID, Market, Value) VALUES (1, 'US', 5000); INSERT INTO Investments (CustomerID, Market, Value) VALUES (2, 'Canada', 3000); | Which customers have investments in both the US and Canadian stock markets? | SELECT CustomerID FROM Investments WHERE Market = 'US' INTERSECT SELECT CustomerID FROM Investments WHERE Market = 'Canada' | gretelai_synthetic_text_to_sql |
CREATE TABLE CircularEconomyFactories (id INT, factory_location VARCHAR(255), is_circular_economy BOOLEAN); INSERT INTO CircularEconomyFactories (id, factory_location, is_circular_economy) VALUES (1, 'Milan, Italy', true), (2, 'Paris, France', false), (3, 'Berlin, Germany', true); | How many factories are producing garments using circular economy principles in Europe? | SELECT COUNT(*) FROM CircularEconomyFactories WHERE factory_location LIKE '%Europe%' AND is_circular_economy = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (program_id INT, target_group VARCHAR(50), funding_amount DECIMAL(10,2), funding_date DATE); INSERT INTO Programs (program_id, target_group, funding_amount, funding_date) VALUES (4, 'seniors', 8000.00, '2021-04-01'), (5, 'children', 6000.00, '2021-05-01'), (6, 'adults', 3000.00, '2021-06-01'); | What was the total funding received by programs targeting 'seniors'? | SELECT SUM(funding_amount) AS total_funding FROM Programs WHERE target_group = 'seniors'; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, age INT, gender TEXT, state TEXT, disease TEXT); INSERT INTO patients (id, age, gender, state, disease) VALUES (1, 25, 'Female', 'California', 'Chlamydia'); INSERT INTO patients (id, age, gender, state, disease) VALUES (2, 30, 'Male', 'California', 'Chlamydia'); | What is the average age of patients who tested positive for chlamydia in California? | SELECT AVG(age) FROM patients WHERE state = 'California' AND disease = 'Chlamydia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE agri_patents (id INT, patent_number INT, title TEXT, team_leader TEXT, grant_year INT); INSERT INTO agri_patents (id, patent_number, title, team_leader, grant_year) VALUES (1, 12345, 'Smart Irrigation System', 'Sarah Johnson', 2017), (2, 67890, 'Vertical Farming Design', 'Alex Thompson', 2018), (3, 11121, ... | How many agricultural innovation patents were granted to women-led teams between 2017 and 2021? | SELECT COUNT(*) FROM agri_patents WHERE team_leader LIKE '%[Ww]%' AND grant_year BETWEEN 2017 AND 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE fishing_regulations (id INT, region VARCHAR(50), regulation VARCHAR(50)); INSERT INTO fishing_regulations (id, region, regulation) VALUES (1, 'Southern Ocean', 'Commercial fishing ban'); INSERT INTO fishing_regulations (id, region, regulation) VALUES (2, 'Southern Ocean', 'Antarctic krill fishing quota'); | Delete all records in the 'fishing_regulations' table where the 'region' is 'Southern Ocean' | DELETE FROM fishing_regulations WHERE region = 'Southern Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE RenewableEnergyProjectTypes (TypeID INT, TypeName VARCHAR(50));CREATE TABLE RenewableEnergyProjects (ProjectID INT, TypeID INT, EnergyConsumption FLOAT, EnergySavings FLOAT); | Show the total energy consumption and total energy savings for each renewable energy project type. | SELECT RenewableEnergyProjectTypes.TypeName, SUM(RenewableEnergyProjects.EnergyConsumption) AS TotalEnergyConsumption, SUM(RenewableEnergyProjects.EnergySavings) AS TotalEnergySavings FROM RenewableEnergyProjectTypes INNER JOIN RenewableEnergyProjects ON RenewableEnergyProjectTypes.TypeID = RenewableEnergyProjects.Type... | gretelai_synthetic_text_to_sql |
CREATE TABLE TrainSchedules (id INT, station VARCHAR(255), delay INT, schedule_time TIME); CREATE TABLE Stations (id INT, city VARCHAR(255)); | How many train delays occurred in NYC during rush hours in Q1 2022? | SELECT COUNT(*) FROM TrainSchedules TS INNER JOIN Stations S ON TS.station = S.id WHERE S.city = 'NYC' AND HOUR(schedule_time) BETWEEN 6 AND 10 AND delay > 0 AND QUARTER(schedule_time) = 1 AND YEAR(schedule_time) = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE items (item_id INT, category VARCHAR(255), price DECIMAL(10,2)); INSERT INTO items (item_id, category, price) VALUES (1, 'Organic Food', 50.00), (2, 'Sustainable Home Goods', 100.00), (3, 'Organic Food', 75.00); | What is the maximum price of items in the 'Organic Food' category? | SELECT category, MAX(price) as max_price FROM items WHERE category = 'Organic Food' GROUP BY category; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA if not exists biotech;CREATE TABLE if not exists biotech.startups (id INT, name VARCHAR(50), sector VARCHAR(50), total_funding DECIMAL(10,2)); INSERT INTO biotech.startups (id, name, sector, total_funding) VALUES (1, 'StartupA', 'Genetic Research', 5000000.00), (2, 'StartupB', 'Biosensor Technology', 3000... | What is the total funding for startups in the 'Bioprocess Engineering' sector? | SELECT SUM(total_funding) FROM biotech.startups WHERE sector = 'Bioprocess Engineering'; | gretelai_synthetic_text_to_sql |
CREATE TABLE developers (developer_id INT, name VARCHAR(100)); CREATE TABLE smart_contracts (contract_id INT, developer_id INT, transaction_fee DECIMAL(10,2)); INSERT INTO developers (developer_id, name) VALUES (1, 'Alice'), (2, 'Bob'), (3, 'Charlie'); INSERT INTO smart_contracts (contract_id, developer_id, transaction... | List the names and total transaction fees for all developers who have created smart contracts in the 'developers_smart_contracts' table. | SELECT d.name, SUM(sc.transaction_fee) as total_fees FROM developers d JOIN smart_contracts sc ON d.developer_id = sc.developer_id GROUP BY d.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Strategies (id INT, name VARCHAR(50), year INT, continent VARCHAR(50)); INSERT INTO Strategies (id, name, year, continent) VALUES (1, 'National Security Strategy 2008', 2008, 'North America'); INSERT INTO Strategies (id, name, year, continent) VALUES (2, 'National Security Strategy 2010', 2010, 'Europe'); | What is the total number of national security strategies implemented before 2010 in the 'Strategies' table? | SELECT COUNT(*) FROM Strategies WHERE year < 2010; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_communication(project_name TEXT, country TEXT, budget FLOAT); INSERT INTO climate_communication(project_name, country, budget) VALUES ('Project M', 'Argentina', 50000.00), ('Project N', 'Brazil', 60000.00), ('Project O', 'Colombia', 70000.00), ('Project P', 'Peru', 80000.00); | What is the total budget for climate communication projects in each country in South America? | SELECT country, SUM(budget) FROM climate_communication GROUP BY country; | gretelai_synthetic_text_to_sql |
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