context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE GreenCertified (id INT, city VARCHAR(50), building_count INT); INSERT INTO GreenCertified (id, city, building_count) VALUES (1, 'Toronto', 150), (2, 'Vancouver', 120), (3, 'Montreal', 180), (4, 'Calgary', 100); | How many green certified buildings are there in each city in Canada? | SELECT city, building_count FROM GreenCertified WHERE country = 'Canada' GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE treatment_costs (cost_id INT, treatment_approach VARCHAR(255), cost DECIMAL(10, 2)); INSERT INTO treatment_costs (cost_id, treatment_approach, cost) VALUES (1, 'CBT', 150.00), (2, 'DBT', 200.00), (3, 'EMDR', 250.00), (4, 'Medication', 50.00), (5, 'Lithium', 75.00), (6, 'Antipsychotics', 100.00); | What is the average cost of treatment for each unique treatment_approach in the 'treatment_costs' schema? | SELECT treatment_approach, AVG(cost) AS avg_cost FROM treatment_costs GROUP BY treatment_approach; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artwork (ArtworkID INT, Title VARCHAR(100), Type VARCHAR(50), Price FLOAT); INSERT INTO Artwork VALUES (1, 'Guernica', 'Painting', 2000000); INSERT INTO Artwork VALUES (2, 'Venus de Milo', 'Sculpture', 1200000); | List all sculptures with their sale prices in descending order. | SELECT Title, Price FROM Artwork WHERE Type = 'Sculpture' ORDER BY Price DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE animals (id INT PRIMARY KEY, name VARCHAR(100), species VARCHAR(50), population INT); INSERT INTO animals (id, name, species, population) VALUES (1, 'Giraffe', 'Mammal', 30000), (2, 'Elephant', 'Mammal', 5000); CREATE VIEW mammals_view AS SELECT * FROM animals WHERE species = 'Mammal'; | Count the number of records in the 'mammals_view' view | SELECT COUNT(*) FROM mammals_view; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellites (satellite_id INT, country VARCHAR(50), orbital_altitude INT); INSERT INTO satellites (satellite_id, country, orbital_altitude) VALUES (1, 'USA', 700), (2, 'USA', 800), (3, 'China', 600), (4, 'Russia', 900), (5, 'India', 1000), (6, 'Japan', 1100); | What is the average orbital altitude of satellites launched by each country? | SELECT country, AVG(orbital_altitude) as average_altitude FROM satellites GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE Orders (order_id INT, order_date DATE, order_value FLOAT, country VARCHAR(50)); INSERT INTO Orders (order_id, order_date, order_value, country) VALUES (1, '2021-01-01', 150.00, 'USA'), (2, '2021-01-02', 200.00, 'Canada'), (3, '2021-01-03', 120.00, 'USA'), (4, '2021-01-04', 50.00, 'Mexico'), (5, '2021-01-05... | Identify the top 3 countries with the highest average order value. | SELECT country, AVG(order_value) AS avg_order_value FROM Orders GROUP BY country ORDER BY avg_order_value DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE network_latency (latency_id INT, state VARCHAR(50), latency FLOAT, measurement_date DATE); INSERT INTO network_latency (latency_id, state, latency, measurement_date) VALUES (1, 'Texas', 20, '2022-01-01'); INSERT INTO network_latency (latency_id, state, latency, measurement_date) VALUES (2, 'Texas', 25, '20... | What is the average network latency in the state of Texas for the last month? | SELECT AVG(latency) FROM network_latency WHERE state = 'Texas' AND measurement_date >= DATEADD(month, -1, GETDATE()); | gretelai_synthetic_text_to_sql |
CREATE TABLE Members (MemberID INT, Age INT, Gender VARCHAR(10), MembershipType VARCHAR(20)); INSERT INTO Members (MemberID, Age, Gender, MembershipType) VALUES (1, 35, 'Female', 'Premium'), (2, 45, 'Male', 'Basic'), (3, 28, 'Female', 'Premium'); CREATE TABLE ClassAttendance (MemberID INT, Class VARCHAR(20), Duration I... | What is the total duration of Yoga classes attended by members in their 30s? | SELECT SUM(Duration) FROM Members JOIN ClassAttendance ON Members.MemberID = ClassAttendance.MemberID WHERE Members.Age BETWEEN 30 AND 39 AND ClassAttendance.Class = 'Yoga'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Farming(country VARCHAR(255), year INT, species VARCHAR(255), production FLOAT); | Insert new records of farmed trout in Iceland in 2023 with production quantities of 500, 750, and 1000. | INSERT INTO Farming (country, year, species, production) VALUES ('Iceland', 2023, 'Trout', 500), ('Iceland', 2023, 'Trout', 750), ('Iceland', 2023, 'Trout', 1000); | gretelai_synthetic_text_to_sql |
CREATE TABLE cities (city_id INT, city_name VARCHAR(255));CREATE TABLE properties (property_id INT, city_id INT, has_sustainable_features BOOLEAN); INSERT INTO cities (city_id, city_name) VALUES (1, 'CityA'), (2, 'CityB'); INSERT INTO properties (property_id, city_id, has_sustainable_features) VALUES (1, 1, TRUE), (2, ... | What is the percentage of properties in each city that have sustainable features? | SELECT city_id, 100.0 * AVG(has_sustainable_features::INT) as percentage_sustainable FROM properties GROUP BY city_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE budget_allocation (year INT, state VARCHAR(20), service VARCHAR(20), amount INT); INSERT INTO budget_allocation VALUES (2021, 'California', 'Public Safety', 3000000), (2021, 'California', 'Environmental Protection', 4000000); | What is the total budget allocated for public safety and environmental protection services in the state of California in 2021? | SELECT SUM(amount) FROM budget_allocation WHERE state = 'California' AND (service = 'Public Safety' OR service = 'Environmental Protection') AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE concert_sales (sale_id INT, sale_country VARCHAR(50), tickets_sold INT); INSERT INTO concert_sales (sale_id, sale_country, tickets_sold) VALUES (1, 'Japan', 500), (2, 'China', 800), (3, 'Canada', 1500); | What percentage of concert ticket sales are from Asia? | SELECT (SUM(CASE WHEN sale_country = 'Asia' THEN tickets_sold ELSE 0 END) / SUM(tickets_sold)) * 100 AS percentage FROM concert_sales; | gretelai_synthetic_text_to_sql |
CREATE TABLE polkadot_dapps (wallet_address VARCHAR(255), interaction_count INT); | What is the total number of unique wallet addresses that have interacted with decentralized applications on the Polkadot network, and what is the average number of interactions per address? | SELECT COUNT(DISTINCT wallet_address) as total_wallets, AVG(interaction_count) as avg_interactions FROM polkadot_dapps; | gretelai_synthetic_text_to_sql |
CREATE TABLE cases (case_id INT, attorney_name VARCHAR(50), case_outcome VARCHAR(10)); INSERT INTO cases (case_id, attorney_name, case_outcome) VALUES (1, 'Jane Jones', 'Won'), (2, 'Robert Smith', 'Lost'), (3, 'Jane Jones', 'Won'); | What are the names of attorneys who have a 100% success rate? | SELECT attorney_name FROM cases WHERE case_outcome = 'Won' GROUP BY attorney_name HAVING COUNT(*) = (SELECT COUNT(*) FROM cases WHERE attorney_name = cases.attorney_name AND case_outcome = 'Won'); | gretelai_synthetic_text_to_sql |
CREATE TABLE startup (id INT, name TEXT, founder_race TEXT, num_employees INT); INSERT INTO startup (id, name, founder_race, num_employees) VALUES (1, 'MinorityStart', 'Minority', 500); INSERT INTO startup (id, name, founder_race, num_employees) VALUES (2, 'TechStart', 'White', 100); | What is the maximum number of employees for startups founded by minorities? | SELECT MAX(num_employees) FROM startup WHERE founder_race = 'Minority'; | gretelai_synthetic_text_to_sql |
CREATE TABLE inventory (id INT, item_name VARCHAR(255), category VARCHAR(255), is_fair_trade BOOLEAN, is_organic BOOLEAN); INSERT INTO inventory (id, item_name, category, is_fair_trade, is_organic) VALUES (1, 'T-Shirt', 'Tops', true, true), (2, 'Jeans', 'Bottoms', true, false), (3, 'Hoodie', 'Tops', false, true); | What is the total number of fair trade and organic certified items in the inventory? | SELECT COUNT(*) FROM inventory WHERE is_fair_trade = true OR is_organic = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE clinical_trials (trial_id INTEGER, country TEXT); INSERT INTO clinical_trials (trial_id, country) VALUES (1, 'CountryA'), (2, 'CountryB'), (3, 'CountryC'); | List all clinical trials that have been conducted in 'CountryA' or 'CountryB'. | SELECT DISTINCT trial_id FROM clinical_trials WHERE country IN ('CountryA', 'CountryB'); | gretelai_synthetic_text_to_sql |
CREATE TABLE players (player_id int, age int, gender varchar(10), country varchar(20)); INSERT INTO players (player_id, age, gender, country) VALUES (1, 25, 'Male', 'USA'), (2, 30, 'Female', 'Canada'), (3, 22, 'Male', 'Mexico'), (4, 35, 'Female', 'USA'); CREATE TABLE game_sessions (session_id int, player_id int, game_n... | List the names of all female players who have played strategy games. | SELECT DISTINCT players.player_id, players.gender, game_sessions.game_name FROM players INNER JOIN game_sessions ON players.player_id = game_sessions.player_id INNER JOIN game_catalog ON game_sessions.game_name = game_catalog.game_name WHERE players.gender = 'Female' AND game_catalog.game_type = 'Strategy'; | gretelai_synthetic_text_to_sql |
CREATE TABLE businesses (id INT, owner VARCHAR(10), province VARCHAR(20), women_owned BOOLEAN); INSERT INTO businesses (id, owner, province, women_owned) VALUES (1, 'Owner 1', 'Province 1', true); INSERT INTO businesses (id, owner, province, women_owned) VALUES (2, 'Owner 2', 'Province 2', false); | What is the total number of women-owned businesses in each province of South Africa? | SELECT province, COUNT(*) FROM businesses WHERE women_owned = true GROUP BY province; | gretelai_synthetic_text_to_sql |
CREATE TABLE CountrySales (country VARCHAR(50), product_id INT, revenue DECIMAL(10,2), is_organic BOOLEAN); | Which countries have the highest sales revenue for organic hair care products? | SELECT country, SUM(revenue) FROM CountrySales WHERE is_organic = TRUE GROUP BY country ORDER BY SUM(revenue) DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE ResearchExpeditions(expedition_id INT, organization VARCHAR(255)); | What is the total number of research expeditions to the Arctic by organization? | SELECT organization, COUNT(*) FROM ResearchExpeditions GROUP BY organization; | gretelai_synthetic_text_to_sql |
CREATE TABLE projects (id INT PRIMARY KEY, name VARCHAR(50), location VARCHAR(50), type VARCHAR(20), budget FLOAT); INSERT INTO projects (id, name, location, type, budget) VALUES (1, 'Carbon Capture', 'US', 'Mitigation', 7000000.0); INSERT INTO projects (id, name, location, type, budget) VALUES (2, 'Green Roofs', 'New ... | What is the total budget of all climate mitigation projects in the US? | SELECT SUM(budget) FROM projects WHERE location = 'US' AND type = 'Mitigation'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Festivals (id INT, name VARCHAR(50), country VARCHAR(50), year INT, revenue INT); INSERT INTO Festivals (id, name, country, year, revenue) VALUES (1, 'Glastonbury', 'UK', 2022, 5000000), (2, 'Tomorrowland', 'Belgium', 2022, 7000000), (3, 'Roskilde', 'Denmark', 2021, 6000000); | What is the total revenue generated by music festivals in Europe in 2022? | SELECT SUM(revenue) FROM Festivals WHERE country IN ('UK', 'Belgium', 'Denmark') AND year = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE GameDesigners (DesignerID INT, DesignerName VARCHAR(50), Gender VARCHAR(10), Country VARCHAR(20), GameID INT); | How many games are designed by women in Canada and Germany? | SELECT COUNT(DISTINCT GameID) FROM GameDesigners WHERE Country IN ('Canada', 'Germany') AND Gender = 'Female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE energy_efficiency_policies (policy_name VARCHAR(255), policy_date DATE); | How many energy efficiency policies were implemented in the EU between 2015 and 2020, inclusive? | SELECT COUNT(*) FROM energy_efficiency_policies WHERE policy_date BETWEEN '2015-01-01' AND '2020-12-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE weather (city VARCHAR(255), temperature FLOAT, date DATE); INSERT INTO weather (city, temperature, date) VALUES ('Miami', 75, '2022-01-01'), ('Miami', 72, '2022-01-02'), ('Miami', 78, '2022-01-03'); | What is the average temperature in 'Miami' for January? | SELECT AVG(temperature) FROM weather WHERE city = 'Miami' AND date BETWEEN '2022-01-01' AND '2022-01-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE criminal_database (offender_id INT, offense VARCHAR(255)); CREATE TABLE offender_demographics (offender_id INT, ethnicity VARCHAR(255)); | How many unique offenders were there in the 'criminal_database' table without specifying their ethnicity in the 'offender_demographics' table? | SELECT COUNT(DISTINCT offender_id) FROM criminal_database WHERE offender_id NOT IN (SELECT offender_id FROM offender_demographics); | gretelai_synthetic_text_to_sql |
CREATE TABLE Regions (RegionID int, RegionName varchar(50)); INSERT INTO Regions VALUES (1, 'North'); INSERT INTO Regions VALUES (2, 'South'); CREATE TABLE VehicleMaintenance (MaintenanceID int, VehicleID int, MaintenanceDate date, RegionID int); INSERT INTO VehicleMaintenance VALUES (1, 1, '2022-02-10', 1); INSERT INT... | How many vehicles were serviced in each region last month? | SELECT Regions.RegionName, COUNT(VehicleMaintenance.VehicleID) as VehiclesServiced FROM Regions INNER JOIN VehicleMaintenance ON Regions.RegionID = VehicleMaintenance.RegionID WHERE VehicleMaintenance.MaintenanceDate BETWEEN DATE_SUB(LAST_DAY(CURDATE()), INTERVAL 2 MONTH) AND LAST_DAY(CURDATE()) GROUP BY Regions.Region... | gretelai_synthetic_text_to_sql |
CREATE TABLE employment_initiatives (initiative_id INT, state VARCHAR(2), start_year INT, end_year INT, initiative_value DECIMAL(10, 2)); INSERT INTO employment_initiatives (initiative_id, state, start_year, end_year, initiative_value) VALUES (1, 'Texas', 2018, 2022, 1500000.00), (2, 'California', 2019, 2023, 1200000.0... | What is the total value of veteran employment initiatives in Texas since 2018? | SELECT SUM(initiative_value) FROM employment_initiatives WHERE state = 'Texas' AND start_year <= 2018 AND end_year >= 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE Wind_Farms (Farm_Name VARCHAR(30), Country VARCHAR(20), Production INT); INSERT INTO Wind_Farms VALUES ('Horns Rev', 'Denmark', 250), ('Rødsand', 'Denmark', 300), ('Nysted', 'Denmark', 350), ('Anholt', 'Denmark', 400); | What is the average energy production of wind farms in Denmark? | SELECT AVG(Production) AS Avg_Production FROM Wind_Farms WHERE Country = 'Denmark'; | gretelai_synthetic_text_to_sql |
CREATE TABLE movies (id INT, title VARCHAR(255), genre VARCHAR(50), rating DECIMAL(3,2)); INSERT INTO movies (id, title, genre, rating) VALUES (1, 'MovieA', 'Action', 7.2); INSERT INTO movies (id, title, genre, rating) VALUES (2, 'MovieB', 'Comedy', 8.5); INSERT INTO movies (id, title, genre, rating) VALUES (3, 'MovieC... | What is the average rating for movies belonging to the 'Action' genre? | SELECT AVG(rating) FROM movies WHERE genre = 'Action'; | gretelai_synthetic_text_to_sql |
CREATE TABLE habitats (id INT, name TEXT, habitat_type TEXT, size_km2 FLOAT); INSERT INTO habitats (id, name, habitat_type, size_km2) VALUES (1, 'Habitat1', 'Forest', 50.3), (2, 'Habitat2', 'Savannah', 32.1), (3, 'Habitat3', 'Savannah', 87.6), (4, 'Habitat4', 'Wetlands', 22.5), (5, 'Habitat5', 'Forest', 75.8); | What is the total size of protected habitats for each type of habitat? | SELECT habitat_type, SUM(size_km2) as total_size FROM habitats GROUP BY habitat_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE products (product_id INT, material VARCHAR(20), price DECIMAL(5,2), market VARCHAR(20)); INSERT INTO products (product_id, material, price, market) VALUES (1, 'organic cotton', 50.00, 'Europe'), (2, 'polyester', 30.00, 'Europe'), (3, 'organic cotton', 60.00, 'Asia'); | What is the average price of products made from organic cotton, sold in the European market? | SELECT AVG(price) FROM products WHERE material = 'organic cotton' AND market = 'Europe'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Events (event_id INT, category VARCHAR(255), price DECIMAL(5,2)); INSERT INTO Events (event_id, category, price) VALUES (1, 'Concert', 50.99), (2, 'Sports', 30.50), (3, 'Theater', 75.00); CREATE TABLE Fans (fan_id INT, age INT, event_id INT); INSERT INTO Fans (fan_id, age, event_id) VALUES (1, 25, 1), (2, ... | How many fans attended each event category? | SELECT e.category, COUNT(f.fan_id) FROM Events e LEFT JOIN Fans f ON e.event_id = f.event_id GROUP BY e.category; | gretelai_synthetic_text_to_sql |
CREATE TABLE facilities (facility_id INT, name VARCHAR(50), state VARCHAR(20), mental_health_services BOOLEAN); | List the number of rural healthcare facilities in each state that offer mental health services. | SELECT state, COUNT(*) FROM facilities WHERE mental_health_services = true GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE attorneys (id INT, name VARCHAR(50), total_billing_amount DECIMAL(10,2)); CREATE TABLE cases (id INT, attorney_id INT, case_outcome VARCHAR(10)); | What is the total billing amount for cases lost by the top 2 attorneys? | SELECT SUM(total_billing_amount) FROM (SELECT attorney_id, SUM(billing_amount) AS total_billing_amount FROM cases JOIN attorneys ON cases.attorney_id = attorneys.id WHERE case_outcome = 'lost' GROUP BY attorney_id ORDER BY total_billing_amount DESC LIMIT 2); | gretelai_synthetic_text_to_sql |
CREATE TABLE ytterbium_prices (year INT, country TEXT, price FLOAT); INSERT INTO ytterbium_prices (year, country, price) VALUES (2019, 'South Africa', 220.0), (2020, 'South Africa', 230.0), (2021, 'South Africa', 240.0); | What is the minimum price of Ytterbium produced in South Africa for the last 3 years? | SELECT MIN(price) FROM ytterbium_prices WHERE country = 'South Africa' AND year >= 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE students (id INT, name VARCHAR(50), department VARCHAR(50)); CREATE TABLE advisors (id INT, student_id INT); INSERT INTO students VALUES (1, 'Aarav', 'Engineering'), (2, 'Bella', 'Engineering'), (3, 'Chris', 'Engineering'); INSERT INTO advisors VALUES (1, 1), (2, 2); | Identify the graduate students in the College of Engineering who have not been assigned any advisors. | SELECT DISTINCT students.id, students.name FROM students LEFT JOIN advisors ON students.id = advisors.student_id WHERE advisors.id IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE student_mental_health (student_id INT, mental_health_score INT, semester VARCHAR(20)); | What is the average mental health score of students in the 'Spring 2022' semester? | SELECT AVG(mental_health_score) FROM student_mental_health WHERE semester = 'Spring 2022'; | gretelai_synthetic_text_to_sql |
CREATE TABLE cosmetics_sales(product_name TEXT, weight FLOAT, sale_country TEXT); INSERT INTO cosmetics_sales(product_name, weight, sale_country) VALUES ('Mascara', 12.5, 'France'); | What is the total weight of plastic packaging used in cosmetics sold in France? | SELECT SUM(weight) FROM cosmetics_sales WHERE sale_country = 'France' AND packaging_material = 'plastic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE visual_arts_funding (id INT, program_type VARCHAR(255), funding_year INT, amount DECIMAL(10, 2)); | What is the change in funding for each visual arts program type from 2021 to 2022? | SELECT program_type, (fy2022.amount - fy2021.amount) AS funding_change FROM visual_arts_funding fy2021, visual_arts_funding fy2022 WHERE fy2021.program_type = fy2022.program_type AND fy2021.funding_year = 2021 AND fy2022.funding_year = 2022 AND fy2021.program_type LIKE '%visual%arts%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (organization_id INT, name VARCHAR(50), donations_social_good FLOAT, country VARCHAR(50)); INSERT INTO organizations (organization_id, name, donations_social_good, country) VALUES (1, 'OrgA', 100000.0, 'USA'), (2, 'OrgB', 150000.0, 'Canada'), (3, 'OrgC', 75000.0, 'USA'), (4, 'OrgD', 200000.0,... | List the names and total contributions of organizations that have donated to technology for social good initiatives in the United States and Canada. | SELECT name, SUM(donations_social_good) FROM organizations WHERE country IN ('USA', 'Canada') GROUP BY name; | gretelai_synthetic_text_to_sql |
CREATE TABLE space_missions (id INT, mission_name VARCHAR(50), launch_date DATE, launch_country VARCHAR(50)); INSERT INTO space_missions (id, mission_name, launch_date, launch_country) VALUES (1, 'STS-31', '1990-04-24', 'USA'); INSERT INTO space_missions (id, mission_name, launch_date, launch_country) VALUES (2, 'Soyuz... | Which countries have launched the most space missions in the last 10 years? | SELECT launch_country, COUNT(*) FROM space_missions WHERE YEAR(launch_date) >= YEAR(CURRENT_DATE) - 10 GROUP BY launch_country ORDER BY COUNT(*) DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE spacecraft_mass (spacecraft_name VARCHAR(50), type VARCHAR(50), mass FLOAT); | Get the average mass of spacecraft per type. | SELECT type, AVG(mass) as avg_mass FROM spacecraft_mass GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE AutonomousDrivingResearch (StudyID INT, StudyLocation VARCHAR(20)); INSERT INTO AutonomousDrivingResearch (StudyID, StudyLocation) VALUES (1, 'North America'), (2, 'Europe'); | How many autonomous driving research studies were conducted in North America? | SELECT COUNT(*) FROM AutonomousDrivingResearch WHERE StudyLocation = 'North America'; | gretelai_synthetic_text_to_sql |
CREATE TABLE PhotographyExhibit(id INT, age INT, gender VARCHAR(10), visit_date DATE, is_repeat BOOLEAN); | What is the percentage of repeat visitors for the "Photography Exhibit" program? | SELECT 100.0 * COUNT(*) / (SELECT COUNT(*) FROM PhotographyExhibit WHERE is_repeat = FALSE) FROM PhotographyExhibit WHERE is_repeat = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE us_city_certifications (city VARCHAR(20), certifications INT); INSERT INTO us_city_certifications (city, certifications) VALUES ('New York', 500), ('Los Angeles', 300), ('Chicago', 400), ('Houston', 200); | Show the top 3 cities with the most green building certifications in the United States. | SELECT city, certifications FROM (SELECT city, certifications, RANK() OVER (ORDER BY certifications DESC) as rank FROM us_city_certifications WHERE country = 'United States') AS subquery WHERE rank <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE city_customer_data (customer_id INT, city VARCHAR(50), data_usage_gb FLOAT); INSERT INTO city_customer_data (customer_id, city, data_usage_gb) VALUES (1, 'Delhi', 25.6), (2, 'Delhi', 30.9), (3, 'Mumbai', 45.2), (4, 'Mumbai', 52.1), (5, 'Bangalore', 15.6), (6, 'Bangalore', 18.9); | What is the average data usage difference between the highest and lowest data usage customers in each city? | SELECT city, AVG(MAX(data_usage_gb) - MIN(data_usage_gb)) as avg_data_usage_diff FROM city_customer_data GROUP BY city; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, age INT, gender VARCHAR(10), racial_ethnic_minority BOOLEAN); | What is the average age of employees who identify as a racial or ethnic minority? | SELECT AVG(age) FROM employees WHERE racial_ethnic_minority = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (id INT, age INT, gender TEXT, country TEXT); CREATE TABLE diagnoses (id INT, patient_id INT, disorder_name TEXT); INSERT INTO diagnoses (id, patient_id, disorder_name) VALUES (1, 101, 'Anxiety Disorder'); | What is the minimum age of patients in Australia who have been diagnosed with anxiety disorders? | SELECT MIN(patients.age) FROM patients JOIN diagnoses ON patients.id = diagnoses.patient_id WHERE diagnoses.disorder_name = 'Anxiety Disorder' AND patients.country = 'Australia'; | gretelai_synthetic_text_to_sql |
CREATE TABLE court_types (court_type_id INT, court_type_name VARCHAR(20), court_state VARCHAR(2)); INSERT INTO court_types VALUES (1, 'Community', 'NY'), (2, 'Juvenile', 'CA'), (3, 'Traffic', 'IL'), (4, 'Civil', 'TX'); CREATE TABLE court_cases (case_id INT, case_state VARCHAR(2), court_type_id INT, days_to_resolve INT)... | What is the total number of cases heard in each court type in each state? | SELECT ct.court_type_name, cc.case_state, COUNT(cc.case_id) FROM court_types ct INNER JOIN court_cases cc ON ct.court_type_id = cc.court_type_id GROUP BY ct.court_type_name, cc.case_state; | gretelai_synthetic_text_to_sql |
CREATE TABLE green_buildings (state VARCHAR(255), building_type VARCHAR(255)); | What is the average number of green buildings per state in the 'green_buildings' table? | SELECT state, AVG(cnt) FROM (SELECT state, COUNT(*) AS cnt FROM green_buildings GROUP BY state) AS state_building_counts; | gretelai_synthetic_text_to_sql |
CREATE TABLE dishes (dish_id INT, dish VARCHAR(50), created_at TIMESTAMP, is_vegetarian BOOLEAN, is_gluten_free BOOLEAN);CREATE TABLE orders (order_id INT, dish_id INT, price DECIMAL(5,2)); | What is the revenue trend for dishes that are both vegetarian and gluten-free in the last month? | SELECT DATE_TRUNC('day', d.created_at) as day, SUM(o.price) as revenue FROM dishes d JOIN orders o ON d.dish_id = o.dish_id WHERE d.is_vegetarian = TRUE AND d.is_gluten_free = TRUE AND d.created_at >= NOW() - INTERVAL '1 month' GROUP BY day ORDER BY day; | gretelai_synthetic_text_to_sql |
CREATE TABLE thailand_aquaculture_sites (site_id INT, site_name TEXT, water_depth FLOAT, country TEXT); INSERT INTO thailand_aquaculture_sites (site_id, site_name, water_depth, country) VALUES (1, 'Site O', 12.5, 'Thailand'), (2, 'Site P', 8.2, 'Thailand'), (3, 'Site Q', 15.0, 'Thailand'); | Count the number of aquaculture sites in Thailand with a water depth greater than 10 meters? | SELECT COUNT(*) FROM thailand_aquaculture_sites WHERE water_depth > 10.0; | gretelai_synthetic_text_to_sql |
CREATE TABLE artists (artist_id INT, artist_name VARCHAR(30)); INSERT INTO artists (artist_id, artist_name) VALUES (1, 'Ariana Grande'), (2, 'BTS'), (3, 'Drake'), (4, 'Ed Sheeran'), (5, 'Taylor Swift'); CREATE TABLE streams (stream_id INT, artist_id INT, revenue DECIMAL(10,2), stream_date DATE); INSERT INTO streams (st... | Who are the top 3 artists by total revenue from streaming platforms in 2020? | SELECT artists.artist_name, SUM(streams.revenue) AS total_revenue FROM artists INNER JOIN streams ON artists.artist_id = streams.artist_id WHERE streams.stream_date BETWEEN '2020-01-01' AND '2020-12-31' GROUP BY artists.artist_name ORDER BY total_revenue DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE local_business (id INT PRIMARY KEY, name VARCHAR(255), type VARCHAR(255), location VARCHAR(255), seats INT); INSERT INTO local_business (id, name, type, location, seats) VALUES (1, 'Bistrot La Fontaine', 'French', 'Paris', 15); | What are the names and types of local businesses in Paris with more than 10 seats? | SELECT l.name, l.type, l.location FROM local_business l WHERE l.location = 'Paris' AND l.seats > 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE team_schedule (team_id INT, played INT); INSERT INTO team_schedule (team_id, played) VALUES (1, 25), (2, 28), (3, 30), (4, 26); | What is the maximum number of games played by a team in a single season? | SELECT MAX(played) FROM team_schedule; | gretelai_synthetic_text_to_sql |
CREATE TABLE tours_sp_de (id INT, country VARCHAR(50), type VARCHAR(50)); INSERT INTO tours_sp_de (id, country, type) VALUES (1, 'Spain', 'Eco-friendly'), (2, 'Spain', 'Regular'), (3, 'Germany', 'Eco-friendly'); | What is the total number of eco-friendly tours offered in Spain and Germany? | SELECT SUM(CASE WHEN type = 'Eco-friendly' THEN 1 ELSE 0 END) FROM tours_sp_de WHERE country IN ('Spain', 'Germany'); | gretelai_synthetic_text_to_sql |
CREATE TABLE articles (id INT, title VARCHAR(50), topic VARCHAR(50), publish_date DATE); INSERT INTO articles (id, title, topic, publish_date) VALUES (1, 'Investigation on Corruption', 'investigative journalism', '2022-02-10'); | What is the total number of articles published on investigative journalism in the last year? | SELECT COUNT(*) FROM articles WHERE topic = 'investigative journalism' AND publish_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR); | gretelai_synthetic_text_to_sql |
CREATE TABLE passenger (passenger_id INT, route_id INT, boarding_time TIMESTAMP, alighting_time TIMESTAMP); INSERT INTO passenger (passenger_id, route_id, boarding_time, alighting_time) VALUES (1, 1, '2021-01-01 08:10:00', '2021-01-01 08:20:00'), (2, 1, '2021-01-01 08:30:00', '2021-01-01 08:40:00'), (3, 2, '2021-01-01 ... | How many unique passengers have traveled on each route, ordered by the number of passengers? | SELECT route_id, COUNT(DISTINCT passenger_id) AS unique_passengers FROM passenger GROUP BY route_id ORDER BY unique_passengers DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE precipitation_data (region VARCHAR(255), precipitation INT, date DATE); INSERT INTO precipitation_data (region, precipitation, date) VALUES ('Africa', 50, '2022-01-01'), ('Asia', 75, '2022-01-01'), ('Australia', 100, '2022-01-01'), ('South America', 125, '2022-01-01'), ('Antarctica', 150, '2022-01-01'); | What is the average precipitation in the top 5 driest regions in the past year? | SELECT region, AVG(precipitation) as avg_precipitation FROM (SELECT region, precipitation, RANK() OVER (PARTITION BY NULL ORDER BY precipitation ASC) as rain_rank FROM precipitation_data WHERE date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY region) subquery WHERE rain_rank <= 5 GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE mature_forest (id INT, species VARCHAR(255), age INT); INSERT INTO mature_forest (id, species, age) VALUES (1, 'Pine', 25), (2, 'Oak', 30), (3, 'Maple', 28); | What is the minimum age of trees in the mature_forest table? | SELECT MIN(age) FROM mature_forest; | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_mitigation_projects (id INT PRIMARY KEY, name VARCHAR(50), location VARCHAR(50), start_date DATE, end_date DATE, budget FLOAT); | Create a view to show all completed projects | CREATE VIEW completed_projects AS SELECT * FROM climate_mitigation_projects WHERE end_date < CURDATE(); | gretelai_synthetic_text_to_sql |
CREATE TABLE hospitals (hospital_id INT, name VARCHAR(50), state VARCHAR(20), num_beds INT); INSERT INTO hospitals (hospital_id, name, state, num_beds) VALUES (1, 'Hospital A', 'New York', 500), (2, 'Hospital B', 'Texas', 600), (3, 'Hospital C', 'California', 700); CREATE TABLE states (state VARCHAR(20), region VARCHAR... | Identify the top 3 states with the highest number of hospitals and the corresponding number of beds in those hospitals. | SELECT s.state, h.num_beds FROM hospitals h INNER JOIN states s ON h.state = s.state WHERE h.state IN (SELECT s.state FROM hospitals h INNER JOIN states s ON h.state = s.state GROUP BY s.state ORDER BY COUNT(h.hospital_id) DESC LIMIT 3) ORDER BY num_beds DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE Training (TrainingID INT, EmployeeID INT, TrainingType VARCHAR(20), Cost DECIMAL(10,2), TrainingDate DATE); INSERT INTO Training (TrainingID, EmployeeID, TrainingType, Cost, TrainingDate) VALUES (1, 1, 'Diversity', 1500.00, '2021-01-01'), (2, 2, 'Leadership', 2000.00, '2021-02-01'), (3, 3, 'Diversity', 100... | What is the total training cost for underrepresented employees in the last year? | SELECT SUM(Cost) FROM Training JOIN Employees ON Training.EmployeeID = Employees.EmployeeID WHERE Employees.Gender IN ('Female', 'Non-binary') OR Employees.Department = 'Diversity'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Volunteers (VolunteerID int, VolunteerName varchar(50), HoursDonated int, VolunteerYear int); INSERT INTO Volunteers (VolunteerID, VolunteerName, HoursDonated, VolunteerYear) VALUES (1, 'Grace Blue', 30, 2022), (2, 'Harry Yellow', 20, 2022), (3, 'Ivy Purple', 15, 2022), (4, 'Jack Orange', 25, 2022); | What is the total number of volunteers and total hours donated by them in '2022'? | SELECT COUNT(VolunteerName) as TotalVolunteers, SUM(HoursDonated) as TotalHours FROM Volunteers WHERE VolunteerYear = 2022; | gretelai_synthetic_text_to_sql |
CREATE TABLE Construction_Labor (worker_id INT, occupation VARCHAR(50), state VARCHAR(50), salary FLOAT); INSERT INTO Construction_Labor VALUES (7890, 'Electrician', 'California', 60000); | What is the average salary of construction workers in California, grouped by occupation? | SELECT occupation, AVG(salary) FROM Construction_Labor WHERE state = 'California' GROUP BY occupation; | gretelai_synthetic_text_to_sql |
CREATE TABLE media_outlets (id INT, name TEXT, country TEXT, media_literacy_score INT); INSERT INTO media_outlets (id, name, country, media_literacy_score) VALUES (1, 'Outlet 1', 'Nigeria', 6); INSERT INTO media_outlets (id, name, country, media_literacy_score) VALUES (2, 'Outlet 2', 'Kenya', 7); | How many media outlets in Africa have a media literacy score above 7? | SELECT COUNT(*) FROM media_outlets WHERE country = 'Africa' AND media_literacy_score > 7; | gretelai_synthetic_text_to_sql |
CREATE TABLE flu_shots (flu_shot_id INT, patient_id INT, date DATE, region VARCHAR(20)); INSERT INTO flu_shots (flu_shot_id, patient_id, date, region) VALUES (1, 3, '2021-01-01', 'European'); INSERT INTO flu_shots (flu_shot_id, patient_id, date, region) VALUES (2, 4, '2021-02-01', 'American'); | What is the maximum number of flu shots administered in a single day in the European region? | SELECT MAX(count) FROM (SELECT date, COUNT(*) as count FROM flu_shots GROUP BY date) as subquery | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_communication (project_id INT, project_name VARCHAR(255), location VARCHAR(255), start_date DATE, end_date DATE); | How many climate communication projects are in 'Europe' and 'North America'? | SELECT COUNT(*) FROM climate_communication WHERE location IN ('Europe', 'North America'); | gretelai_synthetic_text_to_sql |
CREATE TABLE programs (id INT, name VARCHAR(255)); INSERT INTO programs (id, name) VALUES (1, 'Women Empowerment'), (2, 'Refugee Support'), (3, 'Disaster Relief'); CREATE TABLE volunteer_hours (id INT, program_id INT, volunteer_id INT, hours INT); INSERT INTO volunteer_hours (id, program_id, volunteer_id, hours) VALUES... | How many volunteers have contributed to each program in 2022? | SELECT program_id, COUNT(DISTINCT volunteer_id) as num_volunteers FROM volunteer_hours GROUP BY program_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE organizations (id INT, name VARCHAR(50), type VARCHAR(30)); CREATE TABLE grants (id INT, org_id INT, amount INT, date DATE, purpose VARCHAR(30)); INSERT INTO organizations (id, name, type) VALUES (1, 'ABC Nonprofit', 'capacity building'), (2, 'DEF Nonprofit', 'social impact'), (3, 'GHI Nonprofit', 'fundrai... | Which organizations have received grants for capacity building in the last year? | SELECT organizations.name FROM organizations INNER JOIN grants ON organizations.id = grants.org_id WHERE grants.date >= DATEADD(year, -1, GETDATE()) AND organizations.type = 'capacity building'; | gretelai_synthetic_text_to_sql |
CREATE TABLE employees (id INT, name VARCHAR(255), gender VARCHAR(10), hire_date DATE); INSERT INTO employees (id, name, gender, hire_date) VALUES (1, 'Jane Doe', 'Female', '2022-03-15'), (2, 'Alice Smith', 'Female', '2022-02-03'), (3, 'Bob Johnson', 'Male', '2022-01-01'), (4, 'Grace Lee', 'Female', '2022-04-01'); | What is the count of new employees by gender in the last 3 months? | SELECT gender, COUNT(id) as new_employees FROM employees WHERE hire_date >= DATE_SUB(CURDATE(), INTERVAL 3 MONTH) GROUP BY gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_data (id INT, image_id VARCHAR(255), temperature INT, humidity INT, timestamp DATETIME); INSERT INTO satellite_data (id, image_id, temperature, humidity, timestamp) VALUES (1, 'IMG001', 20, 70, '2022-01-01 10:00:00'); | List all the satellite images taken in the past month, along with the average temperature and humidity at the time of capture. | SELECT image_id, AVG(temperature) as avg_temp, AVG(humidity) as avg_humidity FROM satellite_data WHERE timestamp >= DATE_SUB(CURRENT_TIMESTAMP(), INTERVAL 1 MONTH) GROUP BY image_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donors (DonorID int, DonorName varchar(50), Gender varchar(50), AmountDonated numeric(10,2)); INSERT INTO Donors (DonorID, DonorName, Gender, AmountDonated) VALUES (1, 'John Doe', 'Male', 500.00), (2, 'Jane Smith', 'Female', 750.00); | What was the total amount donated by each gender in H1 2021? | SELECT Gender, SUM(AmountDonated) as TotalDonated FROM Donors WHERE AmountDonated >= 0 AND AmountDonated < 9999.99 GROUP BY Gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE Suppliers (SupplierID INT, SupplierName VARCHAR(50), Location VARCHAR(50)); INSERT INTO Suppliers (SupplierID, SupplierName, Location) VALUES (1, 'Fresh CA Produce', 'California'); CREATE TABLE Products (ProductID INT, ProductName VARCHAR(50), SupplierID INT, Category VARCHAR(50), Price DECIMAL(5, 2)); INS... | List the total quantity of fruits ordered from local suppliers in California? | SELECT SUM(Quantity) FROM Orders JOIN Products ON Orders.ProductID = Products.ProductID JOIN Suppliers ON Products.SupplierID = Suppliers.SupplierID WHERE Suppliers.Location = 'California' AND Products.Category = 'Fruits'; | gretelai_synthetic_text_to_sql |
CREATE TABLE program (id INT, name TEXT);CREATE TABLE student (id INT, program_id INT, enrollment_status TEXT); | What is the average number of graduate students enrolled per program? | SELECT AVG(s.count) FROM (SELECT program_id, COUNT(*) AS count FROM student s GROUP BY program_id) s; | gretelai_synthetic_text_to_sql |
CREATE TABLE customers (id INT, name VARCHAR(50), region VARCHAR(50), balance DECIMAL(10,2)); INSERT INTO customers (id, name, region, balance) VALUES (1, 'John Doe', 'Southeast', 5000.00), (2, 'Jane Smith', 'Northeast', 7000.00); | What is the total balance for all customers in the Southeast region? | SELECT SUM(balance) FROM customers WHERE region = 'Southeast'; | gretelai_synthetic_text_to_sql |
CREATE TABLE dimensions (dimension_id INT PRIMARY KEY, work_id INT, height FLOAT, width FLOAT, depth FLOAT, FOREIGN KEY (work_id) REFERENCES works(work_id)); | What are the average dimensions of sculptures in the surrealism category? | SELECT AVG(height) AS avg_height, AVG(width) AS avg_width, AVG(depth) AS avg_depth FROM dimensions d JOIN works w ON d.work_id = w.work_id WHERE w.style = 'Surrealism' AND w.category = 'Sculpture'; | gretelai_synthetic_text_to_sql |
CREATE TABLE workplace_safety_metrics (ws_id SERIAL PRIMARY KEY, union_id VARCHAR(5), incident_type TEXT, total_incidents INT, date DATE); | Update the total_incidents column in the workplace_safety_metrics table to 15 for all records with an incident_type of 'Electrical Hazards' and union_id of 006 | UPDATE workplace_safety_metrics SET total_incidents = 15 WHERE incident_type = 'Electrical Hazards' AND union_id = '006'; | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (product_id INT, brand_id INT, quantity INT); CREATE TABLE products (id INT, name VARCHAR(255), brand_id INT, is_cruelty_free BOOLEAN); | List all cruelty-free products and their brands with more than 1000 sales | SELECT p.name, b.brand_name FROM products p INNER JOIN (SELECT brand_id, SUM(quantity) as total_sales FROM sales GROUP BY brand_id HAVING total_sales > 1000) s ON p.brand_id = s.brand_id INNER JOIN brands b ON p.brand_id = b.id WHERE p.is_cruelty_free = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Airline_Companies (Company_Name VARCHAR(50)); INSERT INTO Airline_Companies (Company_Name) VALUES ('AirAsia'), ('Lufthansa'), ('Delta'); CREATE TABLE Emissions (Company_Name VARCHAR(50), Flight_Number INT, Year INT, CO2_Emissions INT); INSERT INTO Emissions (Company_Name, Flight_Number, Year, CO2_Emissions... | What is the average CO2 emission per flight for each airline company? | SELECT AC.Company_Name, AVG(E.CO2_Emissions) AS Avg_CO2_Emissions FROM Emissions E JOIN Airline_Companies AC ON E.Company_Name = AC.Company_Name GROUP BY AC.Company_Name; | gretelai_synthetic_text_to_sql |
CREATE TABLE satellite_deployment (id INT PRIMARY KEY, country VARCHAR(100), launch_date DATE, satellite_name VARCHAR(100)); | Show the total number of satellites launched by each country in the last 10 years from the satellite_deployment table | SELECT country, COUNT(*) FROM satellite_deployment WHERE launch_date >= DATE_SUB(CURRENT_DATE, INTERVAL 10 YEAR) GROUP BY country; | gretelai_synthetic_text_to_sql |
CREATE TABLE ProviderTrainings (ID INT PRIMARY KEY, ProviderID INT, Training VARCHAR(50), Duration INT, Location VARCHAR(50), Date DATE); INSERT INTO ProviderTrainings (ID, ProviderID, Training, Duration, Location, Date) VALUES (1, 201, 'Cultural Competency', 120, 'New York', '2022-01-01'); INSERT INTO ProviderTraining... | Find the average 'Cultural Competency' training duration for providers in 'New York' and 'Los Angeles'. | SELECT AVG(Duration) FROM ProviderTrainings WHERE Training = 'Cultural Competency' AND Location IN ('New York', 'Los Angeles'); | gretelai_synthetic_text_to_sql |
CREATE TABLE sales (sale_id INT, dispensary_id INT, strain VARCHAR(255), quantity INT);CREATE TABLE dispensaries (dispensary_id INT, name VARCHAR(255), state VARCHAR(255)); | Find the total quantity of each strain sold in Colorado and Oregon. | SELECT strain, SUM(quantity) as total_quantity FROM sales JOIN dispensaries ON sales.dispensary_id = dispensaries.dispensary_id WHERE state IN ('Colorado', 'Oregon') GROUP BY strain; | gretelai_synthetic_text_to_sql |
CREATE TABLE patients (patient_id INT, age INT, gender VARCHAR(20), condition VARCHAR(50), registration_date DATE); INSERT INTO patients (patient_id, age, gender, condition, registration_date) VALUES (1, 35, 'Female', 'Depression', '2021-05-18'); CREATE TABLE treatments (treatment_id INT, patient_id INT, therapy_type V... | How many patients have been treated with meditation in the past year? | SELECT COUNT(DISTINCT patients.patient_id) FROM patients JOIN treatments ON patients.patient_id = treatments.patient_id WHERE treatments.therapy_type = 'Meditation' AND treatments.treatment_date >= '2020-08-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE public.trips_by_day (id SERIAL PRIMARY KEY, vehicle_type TEXT, city TEXT, trips_on_day INTEGER); INSERT INTO public.trips_by_day (vehicle_type, city, trips_on_day) VALUES ('shared_scooter', 'Berlin', 1500), ('shared_scooter', 'Berlin', 1700), ('shared_scooter', 'London', 1200); | What is the maximum number of trips taken by shared scooters in Berlin on a single day? | SELECT MAX(trips_on_day) FROM public.trips_by_day WHERE vehicle_type = 'shared_scooter' AND city = 'Berlin'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SchoolConstruction (Country VARCHAR(20), NumSchools INT); INSERT INTO SchoolConstruction (Country, NumSchools) VALUES ('Afghanistan', 15), ('Syria', 20), ('Iraq', 10), ('Jordan', 12), ('Lebanon', 18); | How many schools were built in each country? | SELECT Country, SUM(NumSchools) as TotalSchools FROM SchoolConstruction GROUP BY Country; | gretelai_synthetic_text_to_sql |
CREATE TABLE infrastructure_development (project_id INT, location VARCHAR(30), start_date DATE, end_date DATE, cost INT); INSERT INTO infrastructure_development (project_id, location, start_date, end_date, cost) VALUES (3, 'South Atlantic', '2019-01-01', '2022-12-31', 600000000); | Delete records from the 'infrastructure_development' table where the 'location' is 'South Atlantic' | DELETE FROM infrastructure_development WHERE location = 'South Atlantic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE SustainableUrbanism (id INT, city VARCHAR(20), size FLOAT); | What is the average size of sustainable urbanism projects in the city of Tokyo? | SELECT AVG(size) FROM SustainableUrbanism WHERE city = 'Tokyo'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Census (id INT, state VARCHAR(50), population INT); INSERT INTO Census (id, state, population) VALUES (1, 'California', 39512223), (2, 'Texas', 29528404), (3, 'Florida', 21538187), (4, 'New York', 19453561), (5, 'Pennsylvania', 12801989); | Delete all records from the "Census" table where the state is 'California'. | DELETE FROM Census WHERE state = 'California'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Recycling_Rates (material VARCHAR(20), region VARCHAR(20), recycling_rate DECIMAL(4,2)); INSERT INTO Recycling_Rates (material, region, recycling_rate) VALUES ('Glass', 'East', 0.60), ('Paper', 'East', 0.75), ('Plastic', 'West', 0.55), ('Metal', 'North', 0.80); | What is the maximum recycling rate for any material in the East region? | SELECT region, MAX(recycling_rate) FROM Recycling_Rates WHERE region = 'East' GROUP BY region; | gretelai_synthetic_text_to_sql |
CREATE TABLE submersible_dives (id INT, submersible_name VARCHAR(50), region VARCHAR(20), dive_date DATE, max_depth INT);INSERT INTO submersible_dives (id, submersible_name, region, dive_date, max_depth) VALUES (1, 'Trieste', 'Atlantic', '1960-01-23', 10972);INSERT INTO submersible_dives (id, submersible_name, region, ... | What is the maximum depth ever reached by a submersible in the Atlantic Ocean? | SELECT MAX(max_depth) FROM submersible_dives WHERE region = 'Atlantic'; | gretelai_synthetic_text_to_sql |
CREATE TABLE injuries (id INT PRIMARY KEY, union_id INT, injury_count INT); INSERT INTO injuries (id, union_id, injury_count) VALUES (1, 1, 1500), (2, 2, 800), (3, 3, 1200); | Find the total number of workplace injuries for each union, and return only the unions with more than 1000 injuries. | SELECT union_id, SUM(injury_count) AS total_injuries FROM injuries GROUP BY union_id HAVING total_injuries > 1000; | gretelai_synthetic_text_to_sql |
CREATE TABLE Astronaut_Missions (ID INT, Astronaut_Name VARCHAR(255), Mission_Name VARCHAR(255), In_Space BOOLEAN); INSERT INTO Astronaut_Missions (ID, Astronaut_Name, Mission_Name, In_Space) VALUES (1, 'Neil Armstrong', 'Apollo 11', TRUE), (2, 'Buzz Aldrin', 'Apollo 11', TRUE); | What is the maximum number of people in space at any given time, according to the Astronaut_Missions table? | SELECT MAX(Num_In_Space) FROM (SELECT COUNT(*) as Num_In_Space FROM Astronaut_Missions WHERE In_Space = TRUE GROUP BY Mission_Name) AS Subquery; | gretelai_synthetic_text_to_sql |
CREATE TABLE GreenBuildings (id INT, name VARCHAR(50), location VARCHAR(50), energyConsumption DECIMAL(5,2)); CREATE TABLE Averages (location VARCHAR(50), avg_consumption DECIMAL(5,2)); INSERT INTO Averages (location, avg_consumption) SELECT location, AVG(energyConsumption) FROM GreenBuildings GROUP BY location; CREATE... | What is the average energy consumption of buildings in each location that have energy consumption above the average energy consumption of all buildings in the 'GreenBuildings' table? | SELECT location, AVG(energyConsumption) as avg_above_average FROM AboveAverage GROUP BY location; | gretelai_synthetic_text_to_sql |
CREATE TABLE total_sales (state VARCHAR(20), sales_quantity INT, strain_type VARCHAR(10)); INSERT INTO total_sales (state, sales_quantity, strain_type) VALUES ('Oregon', 200, 'hybrid'); INSERT INTO total_sales (state, sales_quantity, strain_type) VALUES ('Washington', 150, 'hybrid'); INSERT INTO total_sales (state, sal... | Find the total sales quantity of hybrid strains in Oregon and Washington, and the percentage of total sales for each state. | SELECT state, sales_quantity, (sales_quantity::FLOAT / SUM(sales_quantity) OVER (PARTITION BY strain_type)) * 100 AS percentage FROM total_sales WHERE strain_type = 'hybrid'; | gretelai_synthetic_text_to_sql |
CREATE TABLE workers (id INT, name TEXT, industry TEXT, union_member BOOLEAN, salary REAL); INSERT INTO workers (id, name, industry, union_member, salary) VALUES (1, 'John Doe', 'construction', true, 60000.00), (2, 'Jane Smith', 'retail', false, 35000.00); | What is the maximum salary of workers who are not union members, grouped by their industry? | SELECT industry, MAX(salary) FROM workers WHERE NOT union_member GROUP BY industry; | gretelai_synthetic_text_to_sql |
CREATE TABLE WeatherData (Station VARCHAR(255), Date DATE, Temperature FLOAT); INSERT INTO WeatherData (Station, Date, Temperature) VALUES ('StationA', '2020-01-01', -10.5), ('StationB', '2020-01-01', -12.3); | What is the average temperature recorded in each Arctic research station in 2020? | SELECT Station, AVG(Temperature) FROM WeatherData WHERE YEAR(Date) = 2020 GROUP BY Station; | gretelai_synthetic_text_to_sql |
CREATE TABLE SpacecraftManufacturing(company VARCHAR(20), cost INT); INSERT INTO SpacecraftManufacturing(company, cost) VALUES('AeroCorp', 5000000), ('GalacticTech', 7000000), ('SpaceEagle', 6000000); | What was the total cost of spacecraft manufactured by 'AeroCorp'? | SELECT SUM(cost) FROM SpacecraftManufacturing WHERE company = 'AeroCorp'; | gretelai_synthetic_text_to_sql |
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