context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
values |
|---|---|---|---|
CREATE TABLE Players (PlayerID INT PRIMARY KEY, Name VARCHAR(100), Age INT, Sport VARCHAR(50), Country VARCHAR(50)); INSERT INTO Players (PlayerID, Name, Age, Sport, Country) VALUES (1, 'John Doe', 25, 'Soccer', 'USA'); INSERT INTO Players (PlayerID, Name, Age, Sport, Country) VALUES (2, 'Jane Smith', 30, 'Basketball',... | How many basketball assists were made by players from Canada? | SELECT SUM(Value) as TotalAssists FROM Players_Stats JOIN Players ON Players.PlayerID = Players_Stats.PlayerID WHERE Players.Sport = 'Basketball' AND Players.Country = 'Canada' AND Stat = 'Assists'; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, account_number INT, amount DECIMAL(10,2), transaction_date DATE, account_region VARCHAR(50)); INSERT INTO transactions (transaction_id, account_number, amount, transaction_date, account_region) VALUES (1, 333333333, 150.00, '2022-07-01', 'Middle East'), (2, 444444444, 250.... | What is the earliest transaction date for any account in the Middle East region? | SELECT MIN(transaction_date) FROM transactions WHERE account_region = 'Middle East'; | gretelai_synthetic_text_to_sql |
CREATE TABLE facilities (id INT, country VARCHAR(50), num_facilities INT); INSERT INTO facilities (id, country, num_facilities) VALUES (1, 'China', 5000), (2, 'USA', 3000), (3, 'India', 2500), (4, 'Germany', 2000), (5, 'Mexico', 1500); | What are the top 3 countries with the most manufacturing facilities, and how many facilities do they have? | SELECT country, num_facilities FROM facilities ORDER BY num_facilities DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (id INT, volunteer_name VARCHAR(255), program VARCHAR(255), volunteer_hours INT, volunteer_date DATE); INSERT INTO Volunteers (id, volunteer_name, program, volunteer_hours, volunteer_date) VALUES (1, 'Marta Silva', 'Education', 10, '2021-08-05'), (2, 'Pedro Ferreira', 'Education', 15, '2021-10-2... | How many volunteers contributed to educational programs in Brazil in H2 2021? | SELECT COUNT(*) FROM Volunteers WHERE program = 'Education' AND volunteer_date BETWEEN '2021-07-01' AND '2021-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE IntelligenceOperations (Id INT, Name VARCHAR(50), ImplementationDate DATE); INSERT INTO IntelligenceOperations VALUES (1, 'SIGINT', '1960-01-01'); INSERT INTO IntelligenceOperations VALUES (2, 'HUMINT', '1945-05-07'); INSERT INTO IntelligenceOperations VALUES (3, 'GEOINT', '2001-09-11'); | What is the earliest implementation date for military intelligence operations? | SELECT MIN(ImplementationDate) FROM IntelligenceOperations; | gretelai_synthetic_text_to_sql |
CREATE TABLE thulium_smelting (country VARCHAR(20), num_smelting INT); INSERT INTO thulium_smelting (country, num_smelting) VALUES ('Canada', 3), ('China', 7), ('Russia', 5); | How many thulium smelting facilities are there in Canada? | SELECT num_smelting FROM thulium_smelting WHERE country = 'Canada'; | gretelai_synthetic_text_to_sql |
CREATE TABLE suppliers (supplier_id INT, name TEXT);CREATE TABLE materials (material_id INT, name TEXT);CREATE TABLE factory_supplies (factory_id INT, supplier_id INT, material_id INT); | Who are the suppliers that provide materials to more than one factory, and what are the materials they supply? | SELECT s.name, m.name FROM suppliers s INNER JOIN factory_supplies fs ON s.supplier_id = fs.supplier_id INNER JOIN materials m ON fs.material_id = m.material_id GROUP BY s.name, m.name HAVING COUNT(DISTINCT fs.factory_id) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Spacecraft (spacecraft_model VARCHAR(50), flight_hours INT, last_maintenance_date DATE); INSERT INTO Spacecraft (spacecraft_model, flight_hours, last_maintenance_date) VALUES ('SC-1', 5000, '2016-05-12'), ('SC-2', 7000, '2018-03-21'), ('SC-3', 3500, '2015-08-04'); | What is the total number of flight hours for each spacecraft model in the last 5 years? | SELECT spacecraft_model, SUM(flight_hours) as total_flight_hours FROM Spacecraft WHERE last_maintenance_date >= DATEADD(year, -5, GETDATE()) GROUP BY spacecraft_model; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (donor_id INT, donation_amount DECIMAL, donation_date DATE); INSERT INTO donations (donor_id, donation_amount, donation_date) VALUES (1, 100, '2021-05-01'); INSERT INTO donations (donor_id, donation_amount, donation_date) VALUES (1, 150, '2022-05-01'); | List all donors who have increased their donation amounts in the last 12 months compared to the previous year. | SELECT d1.donor_id, d1.donation_amount, d2.donation_amount FROM donations d1 INNER JOIN donations d2 ON d1.donor_id = d2.donor_id WHERE YEAR(d1.donation_date) = YEAR(CURRENT_DATE()) - 1 AND YEAR(d2.donation_date) = YEAR(CURRENT_DATE()) AND d1.donation_amount > d2.donation_amount; | gretelai_synthetic_text_to_sql |
CREATE TABLE Programs (ProgramID INT, ProgramName TEXT, Budget DECIMAL); INSERT INTO Programs (ProgramID, ProgramName, Budget) VALUES (1, 'Education', 15000.00), (2, 'Healthcare', 20000.00), (3, 'Environment', 10000.00); | List all the programs and their respective budgets? | SELECT ProgramName, Budget FROM Programs; | gretelai_synthetic_text_to_sql |
CREATE TABLE SafetyRecords (ID INT PRIMARY KEY, VesselID INT, Category TEXT); INSERT INTO SafetyRecords (ID, VesselID, Category) VALUES (1, 1, 'excellent'), (2, 2, 'good'), (3, 3, 'excellent'); | How many vessels have a safety record in the 'excellent' category? | SELECT COUNT(*) FROM SafetyRecords WHERE Category = 'excellent'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Fish_Farms (id INT, region VARCHAR(255), year INT, biomass INT); INSERT INTO Fish_Farms (id, region, year, biomass) VALUES (1, 'Europe', 2017, 180), (2, 'Europe', 2018, 220), (3, 'Asia', 2017, 250), (4, 'Europe', 2019, 230); | What is the average biomass of fish in European aquaculture farms in 2018? | SELECT AVG(Fish_Farms.biomass) FROM Fish_Farms WHERE Fish_Farms.region = 'Europe' AND Fish_Farms.year = 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE recycling_rates (id INT, material VARCHAR(20), year INT, recycling_rate DECIMAL(5,2)); INSERT INTO recycling_rates (id, material, year, recycling_rate) VALUES (1, 'plastic', 2017, 0.25), (2, 'plastic', 2018, 0.28), (3, 'plastic', 2019, 0.31), (4, 'paper', 2017, 0.60), (5, 'paper', 2018, 0.63), (6, 'paper',... | What was the plastic recycling rate in 2019 compared to 2017? | SELECT (recycling_rate - (SELECT recycling_rate FROM recycling_rates r2 WHERE r2.material = 'plastic' AND r2.year = 2017)) FROM recycling_rates WHERE material = 'plastic' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE Hospitals (Name VARCHAR(255), State VARCHAR(255), Specialized BOOLEAN); INSERT INTO Hospitals (Name, State, Specialized) VALUES ('Hospital A', 'State A', TRUE), ('Hospital B', 'State A', FALSE), ('Hospital C', 'State B', TRUE), ('Hospital D', 'State B', FALSE); CREATE TABLE StateData (State VARCHAR(255), T... | What is the number of hospitals in each state, and how many of them are specialized in mental health? | SELECT h.State, COUNT(*) AS TotalHospitals, SUM(CASE WHEN h.Specialized THEN 1 ELSE 0 END) AS SpecializedMentalHealthHospitals FROM Hospitals h INNER JOIN StateData sd ON h.State = sd.State GROUP BY h.State; | gretelai_synthetic_text_to_sql |
CREATE TABLE policy_types (id INT, policy_type TEXT); INSERT INTO policy_types (id, policy_type) VALUES (1, 'Auto'); INSERT INTO policy_types (id, policy_type) VALUES (2, 'Home'); INSERT INTO policy_types (id, policy_type) VALUES (3, 'Life'); CREATE TABLE policies (id INT, policyholder_id INT, policy_type_id INT, issue... | Display the policy types with the lowest claim frequency in Texas. | SELECT policy_types.policy_type, COUNT(DISTINCT policies.id) AS num_policies, COUNT(DISTINCT claims.id) AS num_claims, COUNT(DISTINCT claims.id) / COUNT(DISTINCT policies.id) * 100 AS claim_frequency FROM policies JOIN policy_types ON policies.policy_type_id = policy_types.id LEFT JOIN claims ON policies.id = claims.po... | gretelai_synthetic_text_to_sql |
CREATE TABLE EquipmentSales (id INT PRIMARY KEY, country VARCHAR(50), equipment_type VARCHAR(50), sale_price DECIMAL(10, 2)); | What is the average sale price for military equipment in Germany? | SELECT AVG(sale_price) FROM EquipmentSales WHERE country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE socially_responsible_loans (loan_id INT, borrower_country TEXT, daily_balance DECIMAL(10, 2), loan_date DATE); INSERT INTO socially_responsible_loans VALUES (1, 'Indonesia', 5000, '2021-01-15'), (2, 'Brazil', 7000, '2021-03-20'), (3, 'Indonesia', 3000, '2021-06-05'), (4, 'Nigeria', 8000, '2021-09-10'); | What is the average daily balance for socially responsible loans, partitioned by borrower's country and ordered by average balance? | SELECT borrower_country, AVG(daily_balance) as avg_balance, ROW_NUMBER() OVER (ORDER BY AVG(daily_balance) DESC, borrower_country) as rank FROM socially_responsible_loans GROUP BY borrower_country ORDER BY avg_balance DESC, borrower_country; | gretelai_synthetic_text_to_sql |
CREATE TABLE antarctica_therapy (patient_id INT, therapy VARCHAR(20)); INSERT INTO antarctica_therapy (patient_id, therapy) VALUES (1, 'Psychodynamic Therapy'), (2, 'CBT'), (3, 'Psychodynamic Therapy'), (4, 'NA'), (5, 'Psychodynamic Therapy'), (6, 'NA'), (7, 'NA'), (8, 'NA'), (9, 'NA'); | What is the total number of patients who received any therapy in Antarctica? | SELECT COUNT(*) FROM antarctica_therapy WHERE therapy IS NOT NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE tv_show (id INT, title VARCHAR(50), viewers INT); INSERT INTO tv_show (id, title, viewers) VALUES (1, 'TVShow1', 250000), (2, 'TVShow2', 180000), (3, 'TVShow3', 300000), (4, 'TVShow4', 220000), (5, 'TVShow5', 150000), (6, 'TVShow6', 190000); | What are the top 5 most viewed TV shows in descending order? | SELECT title FROM tv_show ORDER BY viewers DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE player_demographics (player_id INT PRIMARY KEY, age INT, gender VARCHAR(10), location VARCHAR(50), birthdate DATE); | Display players who share the same birthdate | SELECT p1.player_id, p1.gender, p1.location, p2.player_id, p2.gender, p2.location FROM player_demographics p1 INNER JOIN player_demographics p2 ON p1.birthdate = p2.birthdate WHERE p1.player_id <> p2.player_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE tourism_impact (city VARCHAR(100), year INT, local_economic_impact INT); INSERT INTO tourism_impact (city, year, local_economic_impact) VALUES ('Paris', 2020, 12000000); INSERT INTO tourism_impact (city, year, local_economic_impact) VALUES ('London', 2020, 11000000); | What is the local economic impact of tourism in Paris in 2020? | SELECT local_economic_impact FROM tourism_impact WHERE city = 'Paris' AND year = 2020; | gretelai_synthetic_text_to_sql |
CREATE TABLE grants (id serial, researcher_id integer, title text, amount real, year integer); | Delete all research grants before 2005 | DELETE FROM grants WHERE year < 2005; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity (id INT PRIMARY KEY, state VARCHAR(255), mental_health_parity_law TEXT); INSERT INTO mental_health_parity (id, state, mental_health_parity_law) VALUES (1, 'Alabama', 'Partial Parity'), (2, 'Alaska', 'Full Parity'), (3, 'Arizona', 'No Parity'), (4, 'Arkansas', 'Partial Parity'); | Show the number of mental health parity laws for each state | SELECT state, COUNT(*) as num_laws FROM mental_health_parity GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT, name VARCHAR(50), industry VARCHAR(50), salary FLOAT, state VARCHAR(50)); INSERT INTO workers (id, name, industry, salary, state) VALUES (1, 'John Doe', 'oil', 60000, 'Texas'); INSERT INTO workers (id, name, industry, salary, state) VALUES (2, 'Jane Smith', 'oil', 65000, 'California'); INS... | What is the minimum salary of workers in the 'oil' industry in each state in the USA? | SELECT state, MIN(salary) FROM workers WHERE industry = 'oil' GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE HairCareSales (sale_id INT, product_id INT, sale_price DECIMAL(5,2), sale_date DATE, is_natural BOOLEAN, country TEXT); INSERT INTO HairCareSales (sale_id, product_id, sale_price, sale_date, is_natural, country) VALUES (1, 801, 32.99, '2022-05-13', true, 'Canada'); | Which natural hair care products had the highest sales in Canada in 2022? | SELECT product_id, MAX(sale_price) FROM HairCareSales WHERE is_natural = true AND country = 'Canada' AND sale_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY product_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE public.programs (name text); INSERT INTO public.programs (name) VALUES ('Open Data Program'), ('Public Participation Program'), ('Transparency in Government Program'), ('Evidence-Based Policy Making Program'); | List all unique names of government programs in the public schema that contain the word "transparency"? | SELECT DISTINCT name FROM public.programs WHERE name LIKE '%transparency%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CountryProductivity (country VARCHAR(50), mine_name VARCHAR(50), year INT, productivity INT); INSERT INTO CountryProductivity (country, mine_name, year, productivity) VALUES ('Canada', 'Golden Mine', 2019, 115), ('Mexico', 'Silver Mine', 2019, 135), ('Brazil', 'Iron Mine', 2019, 165); | What is the average labor productivity for each mine, by country, in 2019? | SELECT context.country, AVG(context.productivity) as avg_productivity FROM context WHERE context.year = 2019 GROUP BY context.country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Restaurants (name text, type text); INSERT INTO Restaurants (name, type) VALUES ('Organic Bites', 'Vegetarian'); CREATE TABLE Menu (name text, restaurant text, food text, calories integer); INSERT INTO Menu (name, restaurant, food, calories) VALUES ('Lunch', 'Organic Bites', 'Vegetable Lasagna', 550), ('Lu... | What is the average calorie count for vegetarian dishes served in 'Organic Bites'? | SELECT AVG(calories) FROM Menu WHERE restaurant = 'Organic Bites' AND food LIKE '%vegetarian%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE departments (id INT, department_name VARCHAR(255)); CREATE TABLE research_grants (id INT, grant_name VARCHAR(255), grant_amount INT, department_id INT, PRIMARY KEY (id), FOREIGN KEY (department_id) REFERENCES departments(id)); INSERT INTO departments (id, department_name) VALUES (1, 'Computer Science'), (2... | What is the average grant amount awarded to each department? | SELECT d.department_name, AVG(rg.grant_amount) as avg_grant_amount FROM departments d JOIN research_grants rg ON d.id = rg.department_id GROUP BY d.department_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (id INT, name TEXT, state TEXT, capacity INT); INSERT INTO hospitals (id, name, state, capacity) VALUES (1, 'Hospital A', 'TX', 200), (2, 'Hospital B', 'TX', 300), (3, 'Hospital C', 'FL', 250), (4, 'Hospital D', 'FL', 350); | What is the total capacity of hospitals in Texas and Florida? | SELECT SUM(capacity) FROM hospitals WHERE state IN ('TX', 'FL'); | gretelai_synthetic_text_to_sql |
CREATE TABLE union_membership (id INT, name VARCHAR(50), department VARCHAR(50), tenure INT); INSERT INTO union_membership (id, name, department, tenure) VALUES (1, 'Alice', 'technology', 5); INSERT INTO union_membership (id, name, department, tenure) VALUES (2, 'Bob', 'technology', 3); INSERT INTO union_membership (id... | What is the average tenure of members in the 'technology' department? | SELECT AVG(tenure) FROM union_membership WHERE department = 'technology'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Concerts (city VARCHAR(20), genre VARCHAR(20), price DECIMAL(5,2)); INSERT INTO Concerts (city, genre, price) VALUES ('New York', 'Jazz', 35.99), ('Chicago', 'Blues', 24.99), ('New York', 'Rock', 15.00); | What is the average ticket price for jazz concerts in New York? | SELECT AVG(price) FROM Concerts WHERE city = 'New York' AND genre = 'Jazz'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Claims (PolicyID INT, PolicyType VARCHAR(255), ClaimAmount DECIMAL(10, 2), ClaimDate DATE); INSERT INTO Claims VALUES (1, 'Auto', 500, '2022-01-05'), (2, 'Home', 1000, '2022-02-10'), (3, 'Auto', 750, '2022-03-15'), (4, 'Home', 1200, '2022-01-25'), (5, 'Auto', 300, '2022-02-01'), (6, 'Home', 1500, '2022-03-... | What is the average claim amount by policy type and month? | SELECT PolicyType, EXTRACT(MONTH FROM ClaimDate) AS Month, AVG(ClaimAmount) AS AvgClaimAmount FROM Claims GROUP BY PolicyType, Month; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (county VARCHAR(20), region VARCHAR(10), workers INT); INSERT INTO community_health_workers (county, region, workers) VALUES ('Cook', 'Midwest', 500), ('Ramsey', 'Midwest', 300), ('Shelby', 'Midwest', 400); | What is the total number of community health workers by county in the Midwest region? | SELECT county, SUM(workers) FROM community_health_workers WHERE region = 'Midwest' GROUP BY county; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityPolicing (id INT, district VARCHAR(20), event_date DATE); | How many community policing events were held in each district in the last year, ordered by the highest number of events? | SELECT district, COUNT(*) as num_events FROM CommunityPolicing WHERE event_date >= DATE_SUB(CURDATE(), INTERVAL 1 YEAR) GROUP BY district ORDER BY num_events DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (id INT PRIMARY KEY, name VARCHAR(30), year INT, artistic_genre VARCHAR(30), attendees INT); INSERT INTO Events (id, name, year, artistic_genre, attendees) VALUES (1, 'Dance Performance', 2022, 'Dance', 100); INSERT INTO Events (id, name, year, artistic_genre, attendees) VALUES (2, 'Music Concert', ... | Which artistic_genre had the highest number of attendees in 2022? | SELECT artistic_genre, MAX(attendees) FROM Events WHERE year = 2022 GROUP BY artistic_genre; | gretelai_synthetic_text_to_sql |
CREATE TABLE research_grants (grant_id INT, student_id INT, dept_name VARCHAR(50), funding_source VARCHAR(50), grant_amount INT, grant_date DATE); | What is the distribution of research grants by funding source, and what is the total amount of funding received from each source in the past year, broken down by department? | SELECT funding_source, dept_name, COUNT(*) as num_grants, SUM(grant_amount) as total_funding FROM research_grants WHERE grant_date >= DATE_SUB(CURRENT_DATE(), INTERVAL 1 YEAR) GROUP BY funding_source, dept_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE emissions (year INT, co2_emission FLOAT); | What is the total CO2 emission per year in the 'emissions' table? | SELECT year, SUM(co2_emission) FROM emissions GROUP BY year; | gretelai_synthetic_text_to_sql |
CREATE TABLE age_groups (age_group VARCHAR(50), total_donations DECIMAL(10,2)); INSERT INTO age_groups (age_group, total_donations) VALUES ('18-24', 15000.00), ('25-34', 30000.00), ('35-44', 25000.00), ('45-54', 20000.00), ('55-65', 10000.00); | What is the percentage of total donations made by donors in each age group in the effective altruism movement? | SELECT age_group, (total_donations / SUM(total_donations) OVER()) * 100 AS percentage FROM age_groups; | gretelai_synthetic_text_to_sql |
CREATE TABLE Menu (id INT PRIMARY KEY, dish VARCHAR(255), diet VARCHAR(255)); INSERT INTO Menu (id, dish, diet) VALUES (1, 'Quinoa Salad', 'Vegan'), (2, 'Tofu Stir Fry', 'Vegan'), (3, 'Chicken Caesar Salad', 'None'), (4, 'Vegetable Curry', 'Vegan'); | Determine the number of 'Vegan' dishes in the 'Menu' table | SELECT COUNT(*) FROM Menu WHERE diet = 'Vegan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Unions (UnionID INT, UnionName TEXT); CREATE TABLE Agreements (AgreementID INT, UnionID INT, AgreementDate DATE); | What is the maximum number of collective bargaining agreements signed by a single union in a year? | SELECT u.UnionName, YEAR(a.AgreementDate) AS AgreementYear, MAX(COUNT(a.AgreementID)) AS MaxAgreementsPerYear FROM Unions u INNER JOIN Agreements a ON u.UnionID = a.UnionID GROUP BY u.UnionName, AgreementYear; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_adaptation_eo (project_name VARCHAR(50), location VARCHAR(50), status VARCHAR(50), funding_source VARCHAR(50)); INSERT INTO climate_adaptation_eo (project_name, location, status, funding_source) VALUES ('Resilient Cities', 'Europe', 'Successful', 'GCF'), ('Green Infrastructure', 'Europe', 'Successf... | Find the number of climate adaptation projects in Europe and Oceania that have been successful and their respective funding sources. | SELECT location, status, funding_source FROM climate_adaptation_eo WHERE location IN ('Europe', 'Oceania') AND status = 'Successful'; | gretelai_synthetic_text_to_sql |
CREATE SCHEMA Research; CREATE TABLE Projects (id INT, name TEXT, start_date DATE, end_date DATE, budget FLOAT); | Identify the number of marine life research projects and their respective budgets in the last 3 years. | SELECT COUNT(*), SUM(budget) FROM Research.Projects WHERE start_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE HospitalBeds (HealthCenterID INT, State VARCHAR(20), Beds INT); INSERT INTO HospitalBeds (HealthCenterID, State, Beds) VALUES (1, 'Illinois', 50); INSERT INTO HospitalBeds (HealthCenterID, State, Beds) VALUES (2, 'Illinois', 75); | What is the minimum number of hospital beds in health centers in Illinois? | SELECT MIN(Beds) FROM HospitalBeds WHERE State = 'Illinois'; | gretelai_synthetic_text_to_sql |
CREATE TABLE KenyanAthletes (AthleteID INT, Name VARCHAR(50), Age INT, Sport VARCHAR(20), Country VARCHAR(50)); INSERT INTO KenyanAthletes (AthleteID, Name, Age, Sport, Country) VALUES (1, 'Faith Kipyegon', 28, 'Athletics', 'Kenya'); INSERT INTO KenyanAthletes (AthleteID, Name, Age, Sport, Country) VALUES (2, 'Eliud Ki... | What is the age and sport ranking of athletes from Kenya? | SELECT AthleteID, Name, Age, Sport, ROW_NUMBER() OVER (PARTITION BY Country ORDER BY Age, Sport) AS AgeSportRank FROM KenyanAthletes; | gretelai_synthetic_text_to_sql |
CREATE TABLE habitats (id INT, name VARCHAR(255));CREATE TABLE animals (id INT, species_id INT, habitat_id INT);CREATE TABLE species (id INT, name VARCHAR(255)); INSERT INTO habitats (id, name) VALUES (1, 'Forest'), (2, 'Savannah'); INSERT INTO animals (id, species_id, habitat_id) VALUES (1, 1, 2), (2, 2, 1), (3, 3, 2)... | Identify habitats with more than 50 animals and the number of species in each | SELECT h.name AS habitat_name, COUNT(DISTINCT a.species_id) AS species_count FROM animals a INNER JOIN habitats h ON a.habitat_id = h.id GROUP BY h.name HAVING COUNT(a.id) > 50; | gretelai_synthetic_text_to_sql |
CREATE TABLE Projects (id INT, name TEXT, location TEXT, capacity FLOAT, type TEXT, PRIMARY KEY (id)); INSERT INTO Projects (id, name, location, capacity, type) VALUES (1, 'Solar Farm A', 'California', 50.0, 'Solar'), (2, 'Wind Farm B', 'Texas', 100.0, 'Wind'); CREATE TABLE Funding (id INT, project_id INT, source TEXT,... | Find projects without funding sources. | SELECT Projects.name FROM Projects LEFT JOIN Funding ON Projects.id = Funding.project_id WHERE Funding.source IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE city_complaints (complaint_id INT, city_name VARCHAR(50), complaint_date DATE); INSERT INTO city_complaints VALUES (1, 'CityA', '2021-01-05'), (2, 'CityB', '2021-01-10'), (3, 'CityA', '2021-01-20'), (4, 'CityC', '2021-01-25'), (5, 'CityB', '2021-01-30'); | How many complaints were submitted in each city in January 2021? | SELECT city_name, COUNT(*) as num_complaints FROM city_complaints WHERE complaint_date >= '2021-01-01' AND complaint_date < '2021-02-01' GROUP BY city_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Policy (PolicyNumber INT, CoverageType VARCHAR(50)); CREATE TABLE Claim (ClaimNumber INT, PolicyNumber INT, ClaimAmount INT); INSERT INTO Policy (PolicyNumber, CoverageType) VALUES (1, 'Home'); INSERT INTO Policy (PolicyNumber, CoverageType) VALUES (2, 'Auto'); INSERT INTO Claim (ClaimNumber, PolicyNumber,... | What is the average claim amount for policies in the 'Home' coverage type? | SELECT AVG(ClaimAmount) FROM Claim JOIN Policy ON Claim.PolicyNumber = Policy.PolicyNumber WHERE Policy.CoverageType = 'Home'; | gretelai_synthetic_text_to_sql |
CREATE TABLE production_figure (well_name VARCHAR(255), daily_production_rate INT); | Show the highest daily production rate in the 'production_figure' table | SELECT MAX(daily_production_rate) FROM production_figure; | gretelai_synthetic_text_to_sql |
CREATE TABLE donations (id INT, donor_id INT, donation_amount DECIMAL(10,2), donation_state TEXT, donation_date DATE); | What is the average donation amount in 'donations' table for the state of New York? | SELECT AVG(donation_amount) FROM donations WHERE donation_state = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE researchers ( id INT PRIMARY KEY, name VARCHAR(255), title VARCHAR(255)); INSERT INTO researchers (id, name, title) VALUES (1, 'Alice', 'Professor'); INSERT INTO researchers (id, name, title) VALUES (2, 'Bob', 'Dr.'); CREATE TABLE expeditions ( id INT PRIMARY KEY, name VARCHAR(255), year INT, location VARC... | What is the maximum number of expeditions led by a researcher in a single year? | SELECT year, COUNT(DISTINCT name) as num_expeditions FROM expeditions JOIN researchers ON expeditions.leader_id = researchers.id GROUP BY year HAVING num_expeditions > 1 ORDER BY num_expeditions DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Orders (order_id INT, product_id INT, revenue FLOAT); INSERT INTO Orders (order_id, product_id, revenue) VALUES (1, 1, 50.0), (2, 2, 30.0), (3, 3, 20.0), (4, 1, 45.0), (5, 3, 25.0); CREATE TABLE Products (product_id INT, name VARCHAR(255), category VARCHAR(255), material_id INT); INSERT INTO Products (prod... | What percentage of the total revenue comes from accessories made of recycled materials? | SELECT (SUM(CASE WHEN Materials.is_recycled THEN Orders.revenue ELSE 0 END) / SUM(Orders.revenue)) * 100 AS percentage FROM Orders INNER JOIN Products ON Orders.product_id = Products.product_id INNER JOIN Materials ON Products.material_id = Materials.material_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Trams (tram_id INT, region VARCHAR(20), maintenance_frequency INT); INSERT INTO Trams (tram_id, region, maintenance_frequency) VALUES (501, 'Harborside', 45), (502, 'Harborside', 60), (503, 'Harborside', 30); | What is the minimum maintenance frequency for trams in the 'Harborside' region? | SELECT MIN(maintenance_frequency) FROM Trams WHERE region = 'Harborside'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ResourceExtraction(id INT, country VARCHAR(50), extraction_date DATE, amount INT); | What is the average amount of resources extracted per day in Canada and Australia? | SELECT country, AVG(amount) AS Avg_Amount FROM ResourceExtraction WHERE country IN ('Canada', 'Australia') AND extraction_date >= DATEADD(day, -365, CURRENT_DATE) GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE game_design (game_id INT, game_name VARCHAR(50), genre VARCHAR(20), revenue FLOAT, vr_compatible BOOLEAN); INSERT INTO game_design (game_id, game_name, genre, revenue, vr_compatible) VALUES (1, 'Elite Dangerous', 'Space Sim', 50.0, true), (2, 'Witcher 3', 'RPG', 120.0, false), (3, 'Half-Life: Alyx', 'Actio... | Show the total revenue of games designed for VR. | SELECT SUM(revenue) FROM game_design WHERE vr_compatible = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE transactions (transaction_id INT, customer_id INT, product_id INT, category_id INT, transaction_date DATE, amount DECIMAL(10,2), payment_method VARCHAR(50)); CREATE TABLE customers (customer_id INT, age INT, gender VARCHAR(10), location VARCHAR(255)); | What is the average daily transaction value for the last week, split by customer location and payment method? | SELECT c.location, t.payment_method, AVG(t.amount) as avg_daily_transaction_value FROM transactions t INNER JOIN customers c ON t.customer_id = c.customer_id WHERE t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 WEEK) GROUP BY c.location, t.payment_method; | gretelai_synthetic_text_to_sql |
CREATE TABLE MiningSites (site_id INT, site_name VARCHAR(50), location VARCHAR(50), water_consumed DECIMAL(10, 2)); | Insert a new mining site 'Site C' located in 'Colorado' with an initial water consumption of 2000. | INSERT INTO MiningSites (site_name, location, water_consumed) VALUES ('Site C', 'Colorado', 2000); | gretelai_synthetic_text_to_sql |
CREATE TABLE financial_wellbeing_canada (id INT, gender VARCHAR(10), score INT); INSERT INTO financial_wellbeing_canada (id, gender, score) VALUES (1, 'Female', 65), (2, 'Male', 75), (3, 'Male', 80); | What is the maximum financial wellbeing score for men in Canada? | SELECT MAX(score) FROM financial_wellbeing_canada WHERE gender = 'Male'; | gretelai_synthetic_text_to_sql |
CREATE TABLE faculty (id INT, name VARCHAR(50), department VARCHAR(50)); CREATE TABLE grants (id INT, title VARCHAR(100), faculty_id INT); | List the names of faculty members who have not received any research grants. | SELECT faculty.name FROM faculty LEFT JOIN grants ON faculty.id = grants.faculty_id WHERE grants.faculty_id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE first_practiced (id INT, art VARCHAR(255), year INT, country VARCHAR(255)); INSERT INTO first_practiced (id, art, year, country) VALUES (1, 'Adinkra', 1600, 'Ghana'), (2, 'Udu', 1500, 'Nigeria'); | What is the minimum year when a traditional art was first practiced in Africa? | SELECT MIN(year) FROM first_practiced WHERE country LIKE 'Africa%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, product_type TEXT, production_country TEXT); INSERT INTO products (product_id, product_type, production_country) VALUES (1, 'Lipstick', 'USA'), (2, 'Eyeshadow', 'China'), (3, 'Lipstick', 'France'); | What is the percentage of lipsticks that are made in the USA? | SELECT (COUNT(*) FILTER (WHERE production_country = 'USA')) * 100.0 / COUNT(*) FROM products WHERE product_type = 'Lipstick'; | gretelai_synthetic_text_to_sql |
CREATE TABLE RenewableEnergy (id INT, project_name VARCHAR(20), energy_source VARCHAR(20), capacity INT); INSERT INTO RenewableEnergy (id, project_name, energy_source, capacity) VALUES (1, 'SolarFarm1', 'solar', 5000), (2, 'WindFarm1', 'wind', 6000), (3, 'GeothermalPlant1', 'geothermal', 4000); | Delete all records in the "RenewableEnergy" table where the "energy_source" is "solar" | DELETE FROM RenewableEnergy WHERE energy_source = 'solar'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ProgramCategories (CategoryID INT, Category VARCHAR(20)); INSERT INTO ProgramCategories (CategoryID, Category) VALUES (1, 'Education'), (2, 'Health'), (3, 'Environment'); CREATE TABLE Budget (ProgramID INT, CategoryID INT, Amount DECIMAL(10,2)); INSERT INTO Budget (ProgramID, CategoryID, Amount) VALUES (10... | What's the total budget allocated to each program category? | SELECT pc.Category, SUM(b.Amount) AS TotalBudget FROM ProgramCategories pc JOIN Budget b ON pc.CategoryID = b.CategoryID GROUP BY pc.Category; | gretelai_synthetic_text_to_sql |
CREATE TABLE alternative_dispute_resolution (id INT, case_number INT, participant_name VARCHAR(255), service_type VARCHAR(255)); INSERT INTO alternative_dispute_resolution (id, case_number, participant_name, service_type) VALUES (1, 1234, 'Amy Lee', 'Mediation'); | Who received 'Mediation' services in the 'alternative_dispute_resolution' table? | SELECT participant_name FROM alternative_dispute_resolution WHERE service_type = 'Mediation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE otas (id INT PRIMARY KEY, hotel_id INT, bookings INT, booking_date DATE, ota_name VARCHAR(255)); | Which OTA had the highest number of bookings in 'Brazil' in Q2 2021? | SELECT ota_name, MAX(bookings) FROM otas WHERE country = 'Brazil' AND EXTRACT(QUARTER FROM booking_date) = 2 AND EXTRACT(YEAR FROM booking_date) = 2021 GROUP BY ota_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE menu (menu_id INT, menu_name VARCHAR(255), is_vegan BOOLEAN, cost_ingredients DECIMAL(5,2)); INSERT INTO menu (menu_id, menu_name, is_vegan, cost_ingredients) VALUES (1, 'Vegan Tacos', TRUE, 7.50), (2, 'Chickpea Curry', TRUE, 6.25), (3, 'Beef Burger', FALSE, 8.75), (4, 'Fish and Chips', FALSE, 9.25); CREAT... | Show the total cost of ingredients for vegan menu items in the North region. | SELECT SUM(cost_ingredients * inventory_quantity) as total_cost FROM menu JOIN inventory ON menu.menu_id = inventory.menu_id WHERE is_vegan = TRUE AND region = 'North'; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (customer_id INT, name TEXT, email TEXT); INSERT INTO customers (customer_id, name, email) VALUES (1, 'John Doe', '[john.doe@gmail.com](mailto:john.doe@gmail.com)'), (2, 'Jane Smith', '[jane.smith@yahoo.com](mailto:jane.smith@yahoo.com)'); CREATE TABLE orders (order_id INT, customer_id INT, suppl... | Determine the number of unique customers who have purchased organic products from 'Farm Fresh Organics' in Sydney, Australia. | SELECT COUNT(DISTINCT customers.customer_id) FROM customers JOIN orders ON customers.customer_id = orders.customer_id JOIN organic_products ON orders.supplier_id = organic_products.supplier_id JOIN suppliers ON orders.supplier_id = suppliers.supplier_id WHERE suppliers.name = 'Farm Fresh Organics' AND organic_products.... | gretelai_synthetic_text_to_sql |
CREATE TABLE flights(flight_id INT, origin TEXT, destination TEXT, year INT, distance INT, CO2_emissions INT);INSERT INTO flights (flight_id, origin, destination, year, distance, CO2_emissions) VALUES (1, 'New York', 'Delhi', 2019, 7487, 374350), (2, 'Los Angeles', 'Mumbai', 2019, 8078, 403900), (3, 'Chicago', 'Bangalo... | What is the total CO2 emissions for flights between the United States and India in 2019? | SELECT SUM(CO2_emissions) FROM flights WHERE origin IN ('New York', 'Los Angeles', 'Chicago', 'San Francisco') AND destination IN ('Delhi', 'Mumbai', 'Bangalore', 'Hyderabad') AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE mining_operations (id INT, equipment_type VARCHAR(20), operation_date DATE, quantity INT); INSERT INTO mining_operations (id, equipment_type, operation_date, quantity) VALUES (1, 'Modern Drill', '2021-01-01', 100), (2, 'Archaic Drill', '2020-12-31', 25), (3, 'Modern Drill', '2020-12-30', 150); | Delete records from the 'mining_operations' table where the 'equipment_type' is 'Archaic Drill' | DELETE FROM mining_operations WHERE equipment_type = 'Archaic Drill'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (vessel_id VARCHAR(10), port_id VARCHAR(10)); INSERT INTO vessels (vessel_id, port_id) VALUES ('vessel_z', 'port_a'), ('vessel_x', 'port_b'), ('vessel_y', 'port_c'); | Which ports does vessel_z travel to? | SELECT DISTINCT port_id FROM vessels WHERE vessel_id = 'vessel_z'; | gretelai_synthetic_text_to_sql |
CREATE TABLE CommunityHealthWorkers (WorkerID INT, Name VARCHAR(50), Specialty VARCHAR(50)); CREATE TABLE Cases (WorkerID INT, CaseID INT, CaseType VARCHAR(20)); INSERT INTO CommunityHealthWorkers (WorkerID, Name, Specialty) VALUES (1, 'John Doe', 'Mental Health'); INSERT INTO CommunityHealthWorkers (WorkerID, Name, Sp... | Show the number of mental health and physical health cases managed by community health workers. | SELECT Specialty, COUNT(*) FROM Cases GROUP BY Specialty; | gretelai_synthetic_text_to_sql |
CREATE TABLE funds (company_id INT, funding_amount DECIMAL(10, 2), funding_date DATE); INSERT INTO funds VALUES (1, 500000, '2022-01-01'); INSERT INTO funds VALUES (2, 300000, '2021-06-15'); | Find the total funding received by companies with female founders in the last 5 years | SELECT SUM(funding_amount) FROM funds INNER JOIN companies ON funds.company_id = companies.company_id WHERE companies.founder_gender = 'Female' AND funds.funding_date BETWEEN DATEADD(year, -5, GETDATE()) AND GETDATE(); | gretelai_synthetic_text_to_sql |
CREATE TABLE teams (team_id INT, team_name VARCHAR(100)); CREATE TABLE innings (inning_id INT, team_id INT, runs INT); | What is the average number of runs scored per inning by each team in the IPL? | SELECT teams.team_name, AVG(innings.runs) as avg_runs_per_inning FROM teams INNER JOIN innings ON teams.team_id = innings.team_id GROUP BY teams.team_name; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT, name VARCHAR(255), location VARCHAR(255), population INT); INSERT INTO marine_species (id, name, location, population) VALUES (1, 'Species A', 'Coral Triangle', 1000); INSERT INTO marine_species (id, name, location, population) VALUES (2, 'Species B', 'Great Barrier Reef', 2000); IN... | What is the total number of marine species in the Coral Triangle and the Great Barrier Reef? | SELECT SUM(population) FROM marine_species WHERE location IN ('Coral Triangle', 'Great Barrier Reef'); | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (id INT, name VARCHAR(255)); INSERT INTO programs (id, name) VALUES (1, 'Education'), (2, 'Health'), (3, 'Environment'); CREATE TABLE volunteer_hours (id INT, program_id INT, volunteer_date DATE, hours INT); INSERT INTO volunteer_hours (id, program_id, volunteer_date, hours) VALUES (1, 1, '2022-01... | What is the total number of volunteer hours for each program, by quarter? | SELECT program_id, DATE_TRUNC('quarter', volunteer_date) AS quarter, SUM(hours) OVER (PARTITION BY program_id, quarter) AS total_volunteer_hours FROM volunteer_hours; | gretelai_synthetic_text_to_sql |
CREATE TABLE salaries (id INT, salary DECIMAL(10, 2), training VARCHAR(255)); INSERT INTO salaries (id, salary, training) VALUES (1, 50000, 'completed'), (2, 55000, 'in progress'), (3, 60000, 'not started'); | Calculate the average salary of employees who have completed diversity and inclusion training. | SELECT AVG(salary) FROM salaries WHERE training = 'completed'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (volunteer_id INT, cause VARCHAR(20)); INSERT INTO volunteers (volunteer_id, cause) VALUES (1, 'education'), (2, 'environment'), (3, 'health'), (4, 'education'); | Find the total number of volunteers who have worked on the 'education' and 'health' causes. | SELECT COUNT(*) FROM volunteers WHERE cause IN ('education', 'health'); | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, age INT, gender TEXT); INSERT INTO users (id, age, gender) VALUES (1, 25, 'male'), (2, 35, 'non-binary'), (3, 30, 'female'), (4, 45, 'male'), (5, 50, 'non-binary'); | What is the percentage of male users? | SELECT (COUNT(CASE WHEN gender = 'male' THEN 1 END) * 100.0 / COUNT(*)) as male_percentage FROM users; | gretelai_synthetic_text_to_sql |
CREATE TABLE union_members (id INT, name VARCHAR(50), occupation VARCHAR(50), union_member BOOLEAN, salary FLOAT); INSERT INTO union_members (id, name, occupation, union_member, salary) VALUES (1, 'John Doe', 'Engineer', true, 85000.00), (2, 'Jane Smith', 'Engineer', false, 72000.00), (3, 'Mike Johnson', 'Clerk', true,... | Delete all records with a salary above 80000 from the 'union_members' table | DELETE FROM union_members WHERE salary > 80000; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_development (id INT, region VARCHAR(50), initiative_type VARCHAR(50), start_date DATE, end_date DATE); INSERT INTO community_development (id, region, initiative_type, start_date, end_date) VALUES (1, 'Patagonia', 'Library', '2015-01-01', '2016-12-31'); | How many community development initiatives were completed in the region of Patagonia between 2015 and 2017? | SELECT COUNT(*) FROM community_development WHERE region = 'Patagonia' AND start_date <= '2017-12-31' AND end_date >= '2015-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE revenue_sustainable_materials (id INT, garment_type VARCHAR(50), revenue DECIMAL(5, 2), sustainable_material BOOLEAN); INSERT INTO revenue_sustainable_materials (id, garment_type, revenue, sustainable_material) VALUES (1, 'Pants', 25000, true); INSERT INTO revenue_sustainable_materials (id, garment_type, r... | What is the total revenue of men's garments made of sustainable materials? | SELECT SUM(revenue) FROM revenue_sustainable_materials WHERE garment_type LIKE '%Men%' AND sustainable_material = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE Aircraft (id INT, name VARCHAR(50), engines INT, manufacturer VARCHAR(50)); INSERT INTO Aircraft (id, name, engines, manufacturer) VALUES (1, 'Boeing 747', 4); INSERT INTO Aircraft (id, name, engines, manufacturer) VALUES (2, 'Airbus A320', 2); INSERT INTO Aircraft (id, name, engines, manufacturer) VALUES ... | List all aircraft in the Aircraft table with more than 2 engines. | SELECT * FROM Aircraft WHERE engines > 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE cybersecurity_incidents (id INT, title VARCHAR(255), description TEXT, region VARCHAR(255), countermeasure TEXT);INSERT INTO cybersecurity_incidents (id, title, description, region, countermeasure) VALUES (1, 'Incident A', 'Details about Incident A', 'Asia-Pacific', 'Countermeasure A'), (2, 'Incident B', '... | List all cybersecurity incidents that occurred in the Asia-Pacific region, including their details and the countermeasures taken. | SELECT * FROM cybersecurity_incidents WHERE region = 'Asia-Pacific'; | gretelai_synthetic_text_to_sql |
CREATE TABLE member_registration (member_id INT, registration_date DATE); INSERT INTO member_registration VALUES (8,'2022-02-20'); INSERT INTO member_registration VALUES (9,'2022-02-21'); CREATE TABLE workouts (workout_id INT, member_id INT, date DATE); | Insert new records for members who joined in the last day and have not yet attended a workout. | INSERT INTO workouts (workout_id, member_id, date) SELECT seq.member_id, seq.member_id, GETDATE() FROM (SELECT member_registration.member_id, ROW_NUMBER() OVER (ORDER BY member_registration.registration_date DESC) AS row_num FROM member_registration WHERE member_registration.registration_date >= DATEADD(day, -1, GETDAT... | gretelai_synthetic_text_to_sql |
CREATE TABLE diversity (id INT PRIMARY KEY AUTO_INCREMENT, company_id INT, metric VARCHAR(255), value FLOAT, diversity_date DATE); | Update the diversity metric "Women in Executive Roles" to 0.40 for "GreenTech Solutions" | UPDATE diversity SET value = 0.40 WHERE metric = 'Women in Executive Roles' AND company_id IN (SELECT id FROM company WHERE name = 'GreenTech Solutions'); | gretelai_synthetic_text_to_sql |
CREATE TABLE delivery (delivery_id INT, organization VARCHAR(100), delivery_date DATE); INSERT INTO delivery (delivery_id, organization, delivery_date) VALUES (1, 'Org A', '2022-01-01'), (2, 'Org B', '2022-01-05'), (3, 'Org A', '2022-01-10'); | What is the average number of days between delivery dates for each organization? | SELECT organization, AVG(DATEDIFF(d2.delivery_date, d1.delivery_date)) FROM delivery d1 JOIN delivery d2 ON d1.organization = d2.organization AND d1.delivery_date < d2.delivery_date GROUP BY organization; | gretelai_synthetic_text_to_sql |
CREATE TABLE landfill_capacity (country TEXT, capacity INTEGER, year INTEGER); | What is the total landfill capacity in the US and Canada, as of 2022? | SELECT SUM(capacity) FROM landfill_capacity WHERE country IN ('USA', 'Canada') AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE physician_practices (id INT PRIMARY KEY, name TEXT, state TEXT, total_doctors INT); INSERT INTO physician_practices (id, name, state, total_doctors) VALUES (1, 'Practice 1', 'TX', 10), (2, 'Practice 2', 'NY', 15), (3, 'Practice 3', 'FL', 20); | Update the "physician_practices" table to reflect the correct "total_doctors" for the practice with id 2 | UPDATE physician_practices SET total_doctors = 20 WHERE id = 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE Attorneys (AttorneyID INT PRIMARY KEY, LawSchool VARCHAR(255), Wins INT, Losses INT); INSERT INTO Attorneys (AttorneyID, LawSchool, Wins, Losses) VALUES (1, 'Harvard', 5, 2), (2, 'Yale', 4, 1), (3, 'Harvard', 6, 1); | What is the success rate for attorneys from a specific law school? | SELECT LawSchool, (SUM(Wins) / (SUM(Wins) + SUM(Losses))) AS SuccessRate FROM Attorneys GROUP BY LawSchool HAVING LawSchool = 'Harvard'; | gretelai_synthetic_text_to_sql |
CREATE TABLE organic_farms (id INT, crop VARCHAR(255), is_organic BOOLEAN, acres DECIMAL(10,2), yield DECIMAL(10,2)); | What is the total number of acres and average yield for organic crops in the 'organic_farms' table? | SELECT SUM(acres) as total_acres, AVG(yield) as avg_yield FROM organic_farms WHERE is_organic = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farm (id INT, species TEXT, weight FLOAT, age INT); INSERT INTO Farm (id, species, weight, age) VALUES (1, 'Tilapia', 500.3, 2), (2, 'Salmon', 300.1, 1), (3, 'Tilapia', 600.5, 3), (4, 'Salmon', 700.2, 4), (5, 'Salmon', 800.1, 5); | What is the maximum age of the fish in the 'Salmon' species? | SELECT MAX(age) FROM Farm WHERE species = 'Salmon'; | gretelai_synthetic_text_to_sql |
CREATE TABLE astronaut_medical (id INT, astronaut_name TEXT, last_check TEXT); INSERT INTO astronaut_medical (id, astronaut_name, last_check) VALUES (1, 'Maria', 'unsuccessful'), (2, 'James', 'successful'); | Update the medical records of astronaut Maria to show her last medical check as successful. | UPDATE astronaut_medical SET last_check = 'successful' WHERE astronaut_name = 'Maria'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (donation_id INT, org_id INT, donation_amount DECIMAL(10,2)); | What is the average donation amount for each organization in the 'Donations' and 'Organizations' tables? | SELECT O.name, AVG(D.donation_amount) FROM Donations D INNER JOIN Organizations O ON D.org_id = O.org_id GROUP BY O.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Languages (language_id INT, language_name TEXT);CREATE TABLE CommunityHealthWorkers (worker_id INT, worker_language INT, worker_age INT); | What is the average age of community health workers who speak a language other than English? | SELECT AVG(worker_age) FROM CommunityHealthWorkers cwh WHERE worker_language IN (SELECT language_id FROM Languages WHERE language_name != 'English'); | gretelai_synthetic_text_to_sql |
CREATE TABLE teachers (teacher_id INT, teacher_name VARCHAR(50), gender 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, gender) VALUES (1, 'John Doe', 'Male'), (2, 'Jane Smith', 'Female'), (3, '... | What is the number of teachers who have participated in open pedagogy workshops by gender? | SELECT gender, COUNT(DISTINCT teachers.teacher_id) as num_teachers FROM teachers INNER JOIN professional_development ON teachers.teacher_id = professional_development.teacher_id WHERE professional_development.topic = 'Open Pedagogy' GROUP BY gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE multilateral_development_banks(project_id INT, project_name TEXT, sector TEXT, amount_funded FLOAT); | What's the difference in funding between climate mitigation and climate adaptation projects by multilateral development banks? | SELECT SUM(CASE WHEN sector = 'climate mitigation' THEN amount_funded ELSE 0 END) - SUM(CASE WHEN sector = 'climate adaptation' THEN amount_funded ELSE 0 END) FROM multilateral_development_banks WHERE sector IN ('climate mitigation', 'climate adaptation'); | gretelai_synthetic_text_to_sql |
CREATE TABLE family_cases (case_id INT, case_type VARCHAR(20), billing_amount FLOAT, case_date DATE); INSERT INTO family_cases (case_id, case_type, billing_amount, case_date) VALUES (1, 'Family', 4000.0, '2021-01-01'), (2, 'Family', 6000.0, '2021-02-01'), (3, 'Family', 5000.0, '2021-03-01'); | What is the total billing amount for family cases in the last 6 months? | SELECT SUM(billing_amount) FROM family_cases WHERE case_type = 'Family' AND case_date >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE game_stats (game_id INT, name VARCHAR(50), genre VARCHAR(20), release_date DATE, total_sales INT, avg_playtime DECIMAL(5,2)); | What is the average playtime of sports games released in 2021? | SELECT AVG(avg_playtime) FROM game_stats WHERE genre = 'Sports' AND YEAR(release_date) = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE indigenous_farming (farmer_id INT, practice VARCHAR(50), region VARCHAR(50)); INSERT INTO indigenous_farming (farmer_id, practice, region) VALUES (1, 'Monoculture', 'Amazon'), (2, 'Permaculture', 'Andes'), (3, 'Permaculture', 'Andes'), (4, 'Monoculture', 'Amazon'); | How many indigenous farmers practice 'Permaculture' in each region in the 'indigenous_farming' table? | SELECT region, COUNT(farmer_id) as num_permaculture_farmers FROM indigenous_farming WHERE practice = 'Permaculture' GROUP BY region; | gretelai_synthetic_text_to_sql |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.