context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28
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CREATE TABLE customers (id INT, segment VARCHAR(20)); CREATE TABLE transactions (id INT, customer_id INT, amount DECIMAL(10,2), transaction_date DATE); INSERT INTO customers (id, segment) VALUES (1, 'Premium'); INSERT INTO transactions (id, customer_id, amount, transaction_date) VALUES (1, 1, 250, '2022-03-15'); | Find the average transaction amount for the 'Premium' customer segment in the last month. | SELECT AVG(amount) FROM transactions JOIN customers ON transactions.customer_id = customers.id WHERE customers.segment = 'Premium' AND transaction_date >= DATE_SUB(CURDATE(), INTERVAL 1 MONTH); | gretelai_synthetic_text_to_sql |
CREATE TABLE Streaming (country VARCHAR(50), genre VARCHAR(50), year INT, streams INT); INSERT INTO Streaming (country, genre, year, streams) VALUES ('Spain', 'Latin', 2021, 1500000); INSERT INTO Streaming (country, genre, year, streams) VALUES ('Spain', 'Latin', 2021, 1600000); | Count the number of streams for Latin songs in Spain during 2021. | SELECT COUNT(streams) FROM Streaming WHERE country = 'Spain' AND genre = 'Latin' AND year = 2021; | gretelai_synthetic_text_to_sql |
CREATE TABLE gender (gender_id INT, gender TEXT); CREATE TABLE enrollment (enrollment_id INT, gender_id INT, num_students INT); INSERT INTO gender (gender_id, gender) VALUES (1, 'Female'), (2, 'Male'), (3, 'Non-binary'); INSERT INTO enrollment (enrollment_id, gender_id, num_students) VALUES (101, 1, 150), (102, 2, 120)... | What is the maximum number of students enrolled in lifelong learning courses by gender? | SELECT gender, MAX(num_students) FROM enrollment INNER JOIN gender ON enrollment.gender_id = gender.gender_id GROUP BY gender; | gretelai_synthetic_text_to_sql |
CREATE TABLE properties (id INT, coowners INT, affordability VARCHAR(20)); INSERT INTO properties (id, coowners, affordability) VALUES (1, 2, 'affordable'), (2, 1, 'unaffordable'); | What is the maximum co-ownership in areas with affordable housing? | SELECT MAX(coowners) FROM properties WHERE affordability = 'affordable'; | gretelai_synthetic_text_to_sql |
CREATE TABLE trips (trip_id INT, user_id INT, trip_date DATE, trip_mode VARCHAR(255)); INSERT INTO trips (trip_id, user_id, trip_date, trip_mode) VALUES (10, 10, '2022-03-01', 'Bus'), (11, 11, '2022-03-02', 'Train'); CREATE TABLE user_demographics (user_id INT, age_group VARCHAR(255)); INSERT INTO user_demographics (us... | What is the total number of public transportation trips taken by seniors in the last month, by mode? | SELECT trip_mode, COUNT(*) AS trips_taken FROM trips JOIN user_demographics ON trips.user_id = user_demographics.user_id WHERE age_group = 'Senior' AND trip_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY trip_mode; | gretelai_synthetic_text_to_sql |
CREATE TABLE District (district_id INT, district_name VARCHAR(20)); INSERT INTO District (district_id, district_name) VALUES (1, 'Urban'), (2, 'Rural'); CREATE TABLE EmergencyCalls (call_id INT, district_id INT, response_time INT); | What is the average response time for emergency calls in the 'Urban' district? | SELECT AVG(response_time) FROM EmergencyCalls WHERE district_id = (SELECT district_id FROM District WHERE district_name = 'Urban'); | gretelai_synthetic_text_to_sql |
CREATE TABLE matches (id INT, game VARCHAR(10), player VARCHAR(50), kills INT, deaths INT, match_date DATE); INSERT INTO matches (id, game, player, kills, deaths, match_date) VALUES (1, 'Fortnite', 'Max', 12, 6, '2022-06-15'); | Determine the percentage of 'Fortnite' matches with more than 10 kills per player. | SELECT COUNT(*) * 100.0 / (SELECT COUNT(*) FROM matches WHERE game = 'Fortnite') AS match_percentage FROM matches WHERE game = 'Fortnite' AND kills / NULLIF(deaths, 0) > 10.0; | gretelai_synthetic_text_to_sql |
CREATE TABLE farmers (id INT, name VARCHAR(50), location VARCHAR(50), crops VARCHAR(50)); CREATE TABLE crops (id INT, name VARCHAR(50), yield INT); CREATE TABLE sales (id INT, farmer_id INT, crop_name VARCHAR(50), quantity INT, price DECIMAL(5,2)); INSERT INTO farmers VALUES (1, 'Jane Doe', 'Summerfield', 'Tomatoes'); ... | Who is the farmer with the highest yield of tomatoes? | SELECT name FROM farmers INNER JOIN crops ON farmers.crops = crops.name WHERE crops.name = 'Tomatoes' AND crops.yield = (SELECT MAX(yield) FROM crops); | gretelai_synthetic_text_to_sql |
CREATE TABLE regions (region_id INT, region_name VARCHAR(50)); INSERT INTO regions (region_id, region_name) VALUES (1, 'North'), (2, 'South'), (3, 'East'), (4, 'West'); CREATE TABLE mobile_subscribers (subscriber_id INT, region_id INT, join_date DATE); INSERT INTO mobile_subscribers (subscriber_id, region_id, join_date... | List the number of mobile and broadband subscribers per region for the most recent quarter. | SELECT r.region_name, COUNT(m.subscriber_id) AS mobile_count, COUNT(b.subscriber_id) AS broadband_count FROM regions r LEFT JOIN mobile_subscribers m ON r.region_id = m.region_id LEFT JOIN broadband_subscribers b ON r.region_id = b.region_id WHERE QUARTER(m.join_date) = QUARTER(CURRENT_DATE()) AND YEAR(m.join_date) = Y... | gretelai_synthetic_text_to_sql |
CREATE TABLE climate_change_impacts (id INT, species VARCHAR(50), year INT, impact VARCHAR(50), magnitude INT); INSERT INTO climate_change_impacts (id, species, year, impact, magnitude) VALUES (1, 'Seagrass', 2000, 'Temperature Increase', 20); INSERT INTO climate_change_impacts (id, species, year, impact, magnitude) VA... | What is the average magnitude of climate change impacts on seagrass? | SELECT AVG(magnitude) FROM climate_change_impacts WHERE species = 'Seagrass'; | gretelai_synthetic_text_to_sql |
CREATE TABLE policy_making (department TEXT, year INT, num_projects INT); INSERT INTO policy_making (department, year, num_projects) VALUES ('Education', 2021, 50), ('Healthcare', 2021, 70), ('Transportation', 2021, 60), ('Justice', 2021, 40); | Who are the top 2 government departments with the highest number of evidence-based policy making projects in 2021? | SELECT department, num_projects, ROW_NUMBER() OVER (ORDER BY num_projects DESC) as rank FROM policy_making WHERE year = 2021 AND rank <= 2; | gretelai_synthetic_text_to_sql |
CREATE TABLE cafeterias.menu_items (menu_item_id INT, name TEXT, category TEXT, sustainable_certification BOOLEAN); INSERT INTO cafeterias.menu_items (menu_item_id, name, category, sustainable_certification) VALUES (1, 'Tofu Stir Fry', 'Vegan', true), (2, 'Chicken Sandwich', 'Meat', false); | List the names of restaurants in the 'cafeterias' schema that have a sustainable sourcing certification and serve vegan dishes. | SELECT name FROM cafeterias.menu_items WHERE category LIKE '%Vegan%' AND sustainable_certification = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE centers (id INT, name VARCHAR(255), capacity INT);CREATE VIEW center_types AS SELECT c.id, t.type FROM centers c JOIN center_types t ON c.type_id = t.id; | List all disaster relief centers and their corresponding capacities, sorted by capacity. | SELECT ct.name, ct.capacity FROM center_types ct ORDER BY ct.capacity DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE machine_types (machine_type VARCHAR(50), industry VARCHAR(50), production_rate FLOAT); INSERT INTO machine_types (machine_type, industry, production_rate) VALUES ('Automated Guided Vehicle', 'Electronics', 50), ('Selective Soldering Machine', 'Electronics', 120), ('Surface Mount Technology Machine', 'Elect... | Show the machine types and their average production rates in the electronics manufacturing industry. | SELECT machine_type, AVG(production_rate) FROM machine_types WHERE industry = 'Electronics' GROUP BY machine_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE extended_cb_agreements (id INT, union_chapter VARCHAR(255), extension_date DATE, extension_duration INT); INSERT INTO extended_cb_agreements (id, union_chapter, extension_date, extension_duration) VALUES (1, 'NYC', '2022-05-01', 9), (2, 'LA', '2022-07-15', 7), (3, 'NYC', '2022-10-01', 12), (4, 'LA', '2022-... | List collective bargaining agreements that have been extended by more than 6 months, ordered by the extension date. | SELECT * FROM extended_cb_agreements WHERE extension_duration > 6 ORDER BY extension_date DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE bridge_materials (material_id INT, bridge_id INT, material VARCHAR(50)); CREATE TABLE materials (material_id INT, material_name VARCHAR(50), quantity INT); CREATE TABLE bridges (bridge_id INT, state VARCHAR(50), construction_year INT); | What are the top 3 materials used in bridge construction in California? | SELECT materials.material_name, SUM(materials.quantity) as total_quantity FROM bridge_materials JOIN materials ON bridge_materials.material_id = materials.material_id JOIN bridges ON bridge_materials.bridge_id = bridges.bridge_id WHERE bridges.state = 'California' GROUP BY materials.material_name ORDER BY total_quantit... | gretelai_synthetic_text_to_sql |
CREATE TABLE AstronautMissions (AstronautName TEXT, MissionType TEXT); | Display the number of space missions and their types for astronauts who have flown on at least 3 missions. | SELECT MissionType, COUNT(*) FROM AstronautMissions GROUP BY MissionType HAVING COUNT(*) >= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE cargo_weights (id INT, visit_id INT, weight INT); INSERT INTO cargo_weights (id, visit_id, weight) VALUES (1, 1, 500), (2, 1, 800), (3, 2, 1200), (4, 3, 1000), (5, 4, 1500); | Show total weight of cargo moved in and out of each port. | SELECT ports.name, SUM(cargo_weights.weight) FROM ports INNER JOIN visits ON ports.id = visits.port_id INNER JOIN cargo_weights ON visits.id = cargo_weights.visit_id GROUP BY ports.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE Visitors (id INT, name VARCHAR(100), country VARCHAR(50), visit_date DATE); INSERT INTO Visitors (id, name, country, visit_date) VALUES (1, 'Heidi Klum', 'Germany', '2021-06-01'); INSERT INTO Visitors (id, name, country, visit_date) VALUES (2, 'Jurgen Klopp', 'Germany', '2021-07-01'); | Update the visit date for all visitors from Germany to '2021-10-01'. | UPDATE Visitors SET visit_date = '2021-10-01' WHERE country = 'Germany'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (artwork_id INT, art_type VARCHAR(20), style VARCHAR(20), price DECIMAL(10,2)); INSERT INTO Artworks (artwork_id, art_type, style, price) VALUES (1, 'Painting', 'Impressionist', 1200.00), (2, 'Sculpture', 'Modern', 2500.00), (3, 'Painting', 'Cubist', 3000.00), (4, 'Painting', 'Impressionist', 1800... | What is the maximum price for all 'Cubist' paintings? | SELECT MAX(price) FROM Artworks WHERE art_type = 'Painting' AND style = 'Cubist'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_model (model_id INT, model_name VARCHAR(50), model_type VARCHAR(30), fairness_score DECIMAL(5,4)); INSERT INTO ai_model (model_id, model_name, model_type, fairness_score) VALUES (1, 'ModelA', 'Classification', 0.8765); INSERT INTO ai_model (model_id, model_name, model_type, fairness_score) VALUES (2, 'M... | What are the fairness scores and model names for models with a model type of 'Classification'? | SELECT model_name, fairness_score FROM ai_model WHERE model_type = 'Classification'; | gretelai_synthetic_text_to_sql |
CREATE TABLE department (id INT, name TEXT);CREATE TABLE faculty (id INT, department_id INT, gender TEXT); | How many female faculty members are in the College of Arts and Sciences? | SELECT COUNT(f.id) FROM faculty f JOIN department d ON f.department_id = d.id WHERE d.name = 'College of Arts and Sciences' AND f.gender = 'female'; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_cables (ocean TEXT, length INTEGER); INSERT INTO marine_cables (ocean, length) VALUES ('Pacific Ocean', 100000), ('Atlantic Ocean', 200000), ('Indian Ocean', 150000); | What is the total length of all marine cables in the Pacific Ocean? | SELECT SUM(length) FROM marine_cables WHERE ocean = 'Pacific Ocean'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Age INT, GamePreference VARCHAR(20)); INSERT INTO Players (PlayerID, Age, GamePreference) VALUES (1, 22, 'Strategy'); | What is the most popular game genre among players aged 18-24? | SELECT GamePreference, COUNT(*) FROM Players WHERE Age BETWEEN 18 AND 24 GROUP BY GamePreference ORDER BY COUNT(*) DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE HumanitarianAssistance (id INT PRIMARY KEY, operation VARCHAR(100), location VARCHAR(50), year INT, budget INT); INSERT INTO HumanitarianAssistance (id, operation, location, year, budget) VALUES (3, 'Middle East Refugee Aid', 'Syria', 2018, 78901234); | What is the minimum budget for humanitarian assistance operations in the Middle East since 2018? | SELECT MIN(budget) FROM HumanitarianAssistance WHERE location LIKE '%Middle East%' AND year >= 2018; | gretelai_synthetic_text_to_sql |
CREATE TABLE Artworks (id INT, artist_id INT, name TEXT, creation_date DATE); | Identify the 5 most recent artworks (creation date) for each artist. | SELECT artist_id, name, creation_date FROM (SELECT artist_id, name, creation_date, ROW_NUMBER() OVER (PARTITION BY artist_id ORDER BY creation_date DESC) as rn FROM Artworks) t WHERE rn <= 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE games (id INT, title VARCHAR(50), release_date DATE, rating INT, genre VARCHAR(20), platform VARCHAR(20)); | What is the average rating of games released in the past year, grouped by genre and platform? | SELECT g.genre, g.platform, AVG(g.rating) FROM games g WHERE g.release_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY g.genre, g.platform; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_generation (id INT, waste_type VARCHAR(20), year INT, quantity INT); | Delete records in waste_generation table where waste_type is 'Organic' and year is 2020 | WITH data_to_delete AS (DELETE FROM waste_generation WHERE waste_type = 'Organic' AND year = 2020 RETURNING *) DELETE FROM waste_generation WHERE id IN (SELECT id FROM data_to_delete); | gretelai_synthetic_text_to_sql |
CREATE TABLE manufacturing_equipment (equipment_id INT, equipment_name VARCHAR(50), year_manufactured INT, manufacturer_country VARCHAR(50)); INSERT INTO manufacturing_equipment (equipment_id, equipment_name, year_manufactured, manufacturer_country) VALUES (1, 'CNC Mill', 2018, 'Germany'), (2, 'Injection Molding Machin... | What is the average year of equipment manufacturing for equipment from 'Japan'? | SELECT AVG(year_manufactured) FROM manufacturing_equipment WHERE manufacturer_country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE vessels (id INT, name VARCHAR(50), type VARCHAR(20), flag VARCHAR(20), length FLOAT); | Insert new records into the 'vessels' table for a new oil tanker named 'Ocean Wave' flying the Liberian flag | INSERT INTO vessels (id, name, type, flag, length) VALUES (1, 'Ocean Wave', 'Oil Tanker', 'Liberia', 300.0); | gretelai_synthetic_text_to_sql |
CREATE TABLE rural_hospitals (name TEXT, state TEXT, num_beds INTEGER); INSERT INTO rural_hospitals (name, state, num_beds) VALUES ('Hospital A', 'CA', 50), ('Hospital B', 'CA', 75), ('Hospital C', 'TX', 40), ('Hospital D', 'NY', 60); | What is the average number of beds in rural hospitals in each state? | SELECT state, AVG(num_beds) FROM rural_hospitals GROUP BY state; | gretelai_synthetic_text_to_sql |
CREATE TABLE ai_papers (paper_id INT, title VARCHAR(100), publication_year INT, author_id INT, author_country VARCHAR(50)); | Identify the number of AI research papers published in the last 2 years, along with their authors, focusing on AI ethics and fairness, and group the results by the country of the authors' affiliation. | SELECT author_country, COUNT(*) AS total_papers FROM ai_papers WHERE publication_year >= YEAR(CURRENT_DATE) - 2 AND title LIKE '%AI ethics%' OR title LIKE '%AI fairness%' GROUP BY author_country; | gretelai_synthetic_text_to_sql |
CREATE TABLE ports (port_id INT, port_name VARCHAR(50), city VARCHAR(50), country VARCHAR(50)); CREATE TABLE cargo (cargo_id INT, port_id INT, weight FLOAT, handling_date DATE); | Calculate the total cargo weight handled at the port of 'Dakar', Senegal, partitioned by year and month, and show the results for the last 12 months. | SELECT YEAR(c.handling_date) AS handling_year, MONTH(c.handling_date) AS handling_month, SUM(weight) AS total_weight FROM cargo c JOIN ports p ON c.port_id = p.port_id WHERE p.port_name = 'Dakar' AND p.country = 'Senegal' AND c.handling_date >= DATEADD(month, -12, GETDATE()) GROUP BY YEAR(c.handling_date), MONTH(c.hand... | gretelai_synthetic_text_to_sql |
CREATE TABLE consumer_feedback(feedback_id INT, product_id INT, feedback VARCHAR(100), feedback_date DATE); | Which cosmetics products received the most negative consumer feedback in the past year? | SELECT product_id, COUNT(*) as negative_feedback_count FROM consumer_feedback WHERE feedback IN ('very dissatisfied', 'dissatisfied') AND feedback_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY product_id ORDER BY negative_feedback_count DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE departments (id INT, name TEXT); CREATE TABLE grants (id INT, department_id INT, amount INT); INSERT INTO departments (id, name) VALUES (1, 'Mathematics'), (2, 'Computer Science'); INSERT INTO grants (id, department_id, amount) VALUES (1, 1, 50000), (2, 1, 75000), (3, 2, 100000), (4, 2, 125000), (5, 2, 15... | What is the distribution of research grant amounts per department? | SELECT g.department_id, AVG(g.amount) as avg_grant_amount, MAX(g.amount) as max_grant_amount, MIN(g.amount) as min_grant_amount, STDDEV(g.amount) as stddev_grant_amount FROM grants g GROUP BY g.department_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE arctic_research (id INTEGER, type TEXT); | How many times was each type of research conducted in the 'arctic_research' table? | SELECT type, COUNT(*) FROM arctic_research GROUP BY type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Accommodations (ID INT, StudentID INT, Disability VARCHAR(50), Accommodation VARCHAR(50)); INSERT INTO Accommodations (ID, StudentID, Disability, Accommodation) VALUES (1, 1, 'Visual Impairment', 'Braille Materials'); INSERT INTO Accommodations (ID, StudentID, Disability, Accommodation) VALUES (2, 1, 'Visu... | What is the maximum number of accommodations provided for a single student with a disability? | SELECT StudentID, MAX(COUNT(*)) as MaxAccommodations FROM Accommodations GROUP BY StudentID; | gretelai_synthetic_text_to_sql |
CREATE TABLE RecyclingRates (year INT, material VARCHAR(20), rate FLOAT); INSERT INTO RecyclingRates (year, material, rate) VALUES (2018, 'plastic', 0.35), (2018, 'paper', 0.65), (2019, 'plastic', 0.40), (2019, 'paper', 0.70), (2020, 'glass', NULL), (2020, 'plastic', 0.45), (2020, 'paper', 0.75); | What was the recycling rate for glass in 2020? | SELECT rate FROM RecyclingRates WHERE year = 2020 AND material = 'glass'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Publications (publication_id INT, author_id INT, title TEXT); INSERT INTO Publications (publication_id, author_id, title) VALUES (1, 1001, 'Archeology Review'), (2, 1002, 'Unearthed History'), (3, 1001, 'Digging Deeper'); | Which authors have published more than one paper? | SELECT author_id FROM Publications GROUP BY author_id HAVING COUNT(*) > 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE student (id INT, name VARCHAR(255), department VARCHAR(255), publications INT);CREATE VIEW vw_math_grad AS SELECT * FROM student WHERE department = 'Graduate Program in Mathematics'; | What is the maximum number of publications by a single author in the Graduate Program in Mathematics? | SELECT MAX(publications) FROM vw_math_grad; | gretelai_synthetic_text_to_sql |
CREATE TABLE funding (funding_id INT, org_id INT, amount INT, funding_type VARCHAR(50)); INSERT INTO funding (funding_id, org_id, amount, funding_type) VALUES (1, 1, 100000, 'government'), (2, 1, 200000, 'private'), (3, 2, 150000, 'private'); CREATE TABLE organizations (org_id INT, name VARCHAR(50), implemented_digital... | What is the total funding received by organizations that have implemented digital divide initiatives, broken down by the type of funding (government or private)? | SELECT implemented_digital_divide_initiatives, funding_type, SUM(amount) FROM funding INNER JOIN organizations ON funding.org_id = organizations.org_id GROUP BY implemented_digital_divide_initiatives, funding_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE Players (PlayerID INT, Age INT, EsportsExperience BOOLEAN, GamePreference VARCHAR(20)); INSERT INTO Players (PlayerID, Age, EsportsExperience, GamePreference) VALUES (1, 22, TRUE, 'VR'), (2, 19, FALSE, 'FPS'), (3, 25, FALSE, 'Strategy'); | List the player IDs and ages of players who have played in both esports events and VR games | SELECT PlayerID, Age FROM Players WHERE EsportsExperience = TRUE AND GamePreference = 'VR'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (id INT, donor_id INT, ngo_leader VARCHAR(255), category VARCHAR(255), amount DECIMAL(10, 2), donation_date DATE); INSERT INTO Donations (id, donor_id, ngo_leader, category, amount, donation_date) VALUES (1, 1001, 'Female', 'Health', 5000, '2022-03-05'), (2, 1002, 'Male', 'Environment', 3000, '20... | What is the average donation amount per donor for BIPOC-led NGOs in the Health sector for H1 2022? | SELECT ngo_leader, AVG(amount) as avg_donation FROM Donations WHERE donation_date BETWEEN '2022-01-01' AND '2022-06-30' AND ngo_leader LIKE 'BIPOC%' AND category = 'Health' GROUP BY ngo_leader; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name VARCHAR(50), reg_date DATE, community VARCHAR(30)); INSERT INTO volunteers (id, name, reg_date, community) VALUES (1, 'Alex', '2023-02-01', 'LGBTQ+'), (2, 'Bella', '2023-01-15', 'women in tech'), (3, 'Charlie', '2023-03-05', 'indigenous'); INSERT INTO volunteers (id, name, reg_date... | How many volunteers from historically marginalized groups have registered in the last 6 months? | SELECT COUNT(*) FROM volunteers WHERE reg_date >= DATEADD(month, -6, GETDATE()) AND community IN ('LGBTQ+', 'women in tech', 'indigenous', 'people with disabilities'); | gretelai_synthetic_text_to_sql |
CREATE TABLE Plays (Platform VARCHAR(20), Genre VARCHAR(10), Plays INT); INSERT INTO Plays (Platform, Genre, Plays) VALUES ('Spotify', 'Pop', 15000000), ('AppleMusic', 'Pop', 12000000), ('Youtube', 'Pop', 18000000), ('Pandora', 'Pop', 8000000), ('Deezer', 'Pop', 9000000); | What are the top 3 streaming platforms by total plays for the pop genre in 2021? | SELECT Platform, SUM(Plays) as TotalPlays FROM Plays WHERE Genre = 'Pop' AND YEAR(EventDate) = 2021 GROUP BY Platform ORDER BY TotalPlays DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE streams (song_id INT, stream_date DATE, genre VARCHAR(20), country VARCHAR(20), revenue DECIMAL(10,2)); INSERT INTO streams (song_id, stream_date, genre, country, revenue) VALUES (5, '2021-01-05', 'Jazz', 'France', 7.00), (6, '2021-01-06', 'Jazz', 'France', 7.50); | How many streams of Jazz music were there in France in January 2021? | SELECT COUNT(*) FROM streams WHERE genre = 'Jazz' AND country = 'France' AND stream_date BETWEEN '2021-01-01' AND '2021-01-31'; | gretelai_synthetic_text_to_sql |
CREATE TABLE ProgramCategories (CategoryID INT, CategoryName TEXT, Budget DECIMAL(10, 2)); INSERT INTO ProgramCategories (CategoryID, CategoryName, Budget) VALUES (1, 'Education', 75000.00), (2, 'Health', 100000.00); | What's the total budget allocated for each program category? | SELECT CategoryName, SUM(Budget) AS TotalBudget FROM ProgramCategories GROUP BY CategoryName; | gretelai_synthetic_text_to_sql |
CREATE TABLE life_expectancy (id INT, expectancy INT, location TEXT); INSERT INTO life_expectancy (id, expectancy, location) VALUES (1, 75, 'Rural United States'); INSERT INTO life_expectancy (id, expectancy, location) VALUES (2, 80, 'Urban United States'); | What is the average life expectancy in rural areas of the United States? | SELECT AVG(expectancy) FROM life_expectancy WHERE location LIKE 'Rural%'; | gretelai_synthetic_text_to_sql |
CREATE TABLE VolunteerSignups (VolunteerSignupID INT, VolunteerID INT, SignUpDate DATE); INSERT INTO VolunteerSignups (VolunteerSignupID, VolunteerID, SignUpDate) VALUES (1, 1, '2023-01-05'), (2, 2, '2023-04-10'), (3, 3, '2023-07-20'), (4, 4, '2023-02-25'); | How many volunteers signed up in Q1 and Q2 of 2023? | SELECT CONCAT('Q', FLOOR(MONTH(SignUpDate) / 3)) AS Quarter, COUNT(*) as VolunteerCount FROM VolunteerSignups WHERE YEAR(SignUpDate) = 2023 GROUP BY Quarter; | gretelai_synthetic_text_to_sql |
CREATE TABLE fantom_dexs (dex_id INT, dex_name VARCHAR(255), network VARCHAR(50)); CREATE TABLE fantom_trading_volumes (volume_id INT, dex_id INT, daily_volume DECIMAL(30,2), daily_volume_time DATE); | Find the top 3 decentralized exchanges (DEXs) with the highest daily trading volumes on the Fantom Opera network in the last month. | SELECT d.dex_name, SUM(ftv.daily_volume) as total_volume FROM fantom_dexs d JOIN fantom_trading_volumes ftv ON d.dex_id = ftv.dex_id WHERE ftv.daily_volume_time >= NOW() - INTERVAL '1 month' AND d.network = 'Fantom Opera' GROUP BY d.dex_name ORDER BY total_volume DESC LIMIT 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE Companies (id INT, name TEXT, industry TEXT, country TEXT, founder_gender TEXT); INSERT INTO Companies (id, name, industry, country, founder_gender) VALUES (1, 'Acme Inc', 'Tech', 'USA', 'Female'); INSERT INTO Companies (id, name, industry, country, founder_gender) VALUES (2, 'Beta Corp', 'Biotech', 'Canad... | Update the industry for a specific company. | UPDATE Companies SET industry = 'Fintech' WHERE name = 'Beta Corp'; | gretelai_synthetic_text_to_sql |
CREATE TABLE crop_data (id INT, crop_type VARCHAR(255), soil_moisture INT, measurement_date DATE); | Insert new records for a new crop type 'Sunflower' with soil moisture readings. | INSERT INTO crop_data (id, crop_type, soil_moisture, measurement_date) VALUES (5, 'Sunflower', 65, '2021-06-01'); INSERT INTO crop_data (id, crop_type, soil_moisture, measurement_date) VALUES (6, 'Sunflower', 62, '2021-06-02'); | gretelai_synthetic_text_to_sql |
CREATE TABLE seoul_public_events (event_id INT, city VARCHAR(20), year INT, month INT, events_type VARCHAR(20), events_held INT); INSERT INTO seoul_public_events (event_id, city, year, month, events_type, events_held) VALUES (1, 'Seoul', 2021, 1, 'Festival', 5); | Determine the number of public events and their type held in the city of Seoul in each month of the year 2021 | SELECT month, events_type, SUM(events_held) FROM seoul_public_events WHERE city = 'Seoul' AND year = 2021 GROUP BY month, events_type; | gretelai_synthetic_text_to_sql |
CREATE TABLE plants (id INT, plant_name VARCHAR(50), state VARCHAR(50), capacity INT); INSERT INTO plants VALUES (1, 'New York Wastewater Treatment Plant', 'New York', 5000000), (2, 'Buffalo Wastewater Treatment Plant', 'New York', 3000000); | List the wastewater treatment plants and their corresponding capacities in the state of New York. | SELECT plant_name, capacity FROM plants WHERE state = 'New York'; | gretelai_synthetic_text_to_sql |
CREATE TABLE wastewater_treatment (plant_id INT PRIMARY KEY, location VARCHAR(100), capacity INT); | Add a new water treatment plant to the 'wastewater_treatment' table with the following data: plant_id = 8, location = 'Ho Chi Minh City', capacity = 1000000 | INSERT INTO wastewater_treatment (plant_id, location, capacity) VALUES (8, 'Ho Chi Minh City', 1000000); | gretelai_synthetic_text_to_sql |
CREATE TABLE farmland (farmland_id INT, country VARCHAR(255), precision_agriculture BOOLEAN); INSERT INTO farmland (farmland_id, country, precision_agriculture) VALUES (1, 'France', TRUE), (2, 'Germany', FALSE), (3, 'China', TRUE), (4, 'Japan', TRUE); | What is the total area of farmland in Europe and Asia utilizing precision agriculture techniques? | SELECT SUM(CASE WHEN farmland.precision_agriculture = TRUE THEN 1 ELSE 0 END) AS precision_agriculture_farmlans, farmland.country FROM farmland GROUP BY farmland.country HAVING farmland.country IN ('Europe', 'Asia'); | gretelai_synthetic_text_to_sql |
CREATE TABLE state_water_use (state VARCHAR(50), year INT, amount INT); INSERT INTO state_water_use (state, year, amount) VALUES ('California', 2019, 15000), ('Texas', 2019, 13000), ('Florida', 2019, 12000), ('Georgia', 2019, 9000), ('New York', 2019, 8000); | List the top 5 water-consuming states and their respective annual water consumption amounts in 2019? | SELECT s.state, s.amount FROM state_water_use s ORDER BY s.amount DESC LIMIT 5; | gretelai_synthetic_text_to_sql |
CREATE TABLE consumer_awareness (region_id INT PRIMARY KEY, region_name VARCHAR(100), awareness_score INT); | Which regions have the lowest consumer awareness score? | SELECT region_name, MIN(awareness_score) FROM consumer_awareness GROUP BY region_id ORDER BY MIN(awareness_score) ASC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE whale_sharks (id INT, name VARCHAR(255), location VARCHAR(255), status VARCHAR(255)); | How many whale sharks are there in the 'whale_sharks' table? | SELECT COUNT(*) FROM whale_sharks WHERE status = 'alive'; | gretelai_synthetic_text_to_sql |
CREATE TABLE appointment (appointment_id INT, clinic_id INT, appointment_date DATE, appointment_type VARCHAR(20)); INSERT INTO appointment (appointment_id, clinic_id, appointment_date, appointment_type) VALUES (1, 1, '2022-01-01', 'dental'), (2, 1, '2022-02-01', 'general'), (3, 1, '2022-03-01', 'dental'), (4, 2, '2022-... | How many rural health clinics in the state of Texas have no dental check-ups performed in the year 2022? | SELECT COUNT(*) FROM clinic_detail WHERE clinic_id NOT IN (SELECT clinic_id FROM appointment WHERE appointment_type = 'dental' AND YEAR(appointment_date) = 2022) AND location = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE heritage_sites (id INT, name TEXT, country TEXT); INSERT INTO heritage_sites (id, name, country) VALUES (1, 'Mount Fuji', 'Japan'), (2, 'Himeji Castle', 'Japan'); | How many cultural heritage sites are in Japan? | SELECT COUNT(*) FROM heritage_sites WHERE country = 'Japan'; | gretelai_synthetic_text_to_sql |
CREATE TABLE volunteers (id INT, name TEXT, volunteer_id INT, volunteer_date DATE);CREATE TABLE volunteer_hours (id INT, volunteer_id INT, hours DECIMAL(3,1), hour_date DATE); | What is the maximum number of hours volunteered by a single volunteer in a specific month, based on the 'volunteer_hours' and 'volunteers' tables? | SELECT volunteers.name, MAX(volunteer_hours.hours) FROM volunteers INNER JOIN volunteer_hours ON volunteers.id = volunteer_hours.volunteer_id WHERE EXTRACT(MONTH FROM volunteer_hours.hour_date) = 5 GROUP BY volunteers.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE incidents_by_sector (id INT, incident_type VARCHAR(255), sector VARCHAR(255), date DATE, is_insider BOOLEAN); INSERT INTO incidents_by_sector (id, incident_type, sector, date, is_insider) VALUES (1, 'Phishing', 'Healthcare', '2021-08-01', true); INSERT INTO incidents_by_sector (id, incident_type, sector, d... | What is the percentage of security incidents caused by insiders in the healthcare sector in the last year? | SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM incidents_by_sector WHERE sector = 'Healthcare' AND date >= DATEADD(year, -1, GETDATE()))) as percentage FROM incidents_by_sector WHERE sector = 'Healthcare' AND date >= DATEADD(year, -1, GETDATE()) AND is_insider = true; | gretelai_synthetic_text_to_sql |
CREATE TABLE union_membership (id INT, union VARCHAR(20), member_count INT); INSERT INTO union_membership (id, union, member_count) VALUES (1, 'construction', 3500), (2, 'education', 8000), (3, 'manufacturing', 5000); | What is the name of the union with the least number of members? | SELECT union FROM union_membership WHERE member_count = (SELECT MIN(member_count) FROM union_membership); | gretelai_synthetic_text_to_sql |
CREATE TABLE financial_institutions (institution_id INT, institution_name VARCHAR(255), state VARCHAR(255)); INSERT INTO financial_institutions (institution_id, institution_name, state) VALUES (1, 'Institution A', 'New York'), (2, 'Institution B', 'California'); CREATE TABLE shariah_compliant_mortgages (mortgage_id INT... | Find the total amount of Shariah-compliant mortgages issued by each financial institution in the United States, for the year 2020, and order the results by the total amount. | SELECT f.institution_name, SUM(s.mortgage_amount) as total_mortgage_amount FROM shariah_compliant_mortgages s JOIN financial_institutions f ON s.institution_id = f.institution_id WHERE YEAR(mortgage_date) = 2020 GROUP BY f.institution_name ORDER BY total_mortgage_amount DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE consumer_preferences (consumer_id INT, product_type VARCHAR(50)); INSERT INTO consumer_preferences VALUES (1, 'lipstick'), (2, 'lipstick'), (3, 'eyeshadow'), (4, 'lipstick'), (5, 'eyeshadow'); | How many consumers prefer lipstick over eyeshadow? | SELECT COUNT(*) FROM consumer_preferences WHERE product_type = 'lipstick'; | gretelai_synthetic_text_to_sql |
CREATE TABLE waste_generation(city VARCHAR(20), year INT, amount INT); INSERT INTO waste_generation VALUES('Bangkok', 2019, 200000); | What is the total waste generation in the city of Bangkok in 2019? | SELECT amount FROM waste_generation WHERE city = 'Bangkok' AND year = 2019; | gretelai_synthetic_text_to_sql |
CREATE TABLE sustainable_practices (id INT PRIMARY KEY, country VARCHAR(50), practice VARCHAR(100)); | Delete records from sustainable tourism practices table with id less than 2 | WITH cte AS (DELETE FROM sustainable_practices WHERE id < 2 RETURNING *) SELECT * FROM cte; | gretelai_synthetic_text_to_sql |
CREATE TABLE infractions (id INT PRIMARY KEY, dispensary_id INT, infraction_date TIMESTAMP); | Delete all records from the infractions table that occurred more than 3 years ago. | DELETE FROM infractions WHERE infraction_date < NOW() - INTERVAL '3 years'; | gretelai_synthetic_text_to_sql |
CREATE TABLE WasteGeneration (country VARCHAR(50), population INT, waste_generated_kg FLOAT); | What is the average waste generation rate per capita in the European Union? | SELECT AVG(waste_generated_kg/population) FROM WasteGeneration WHERE country IN ('Germany', 'France', 'Italy', 'Spain', 'United Kingdom'); | gretelai_synthetic_text_to_sql |
CREATE TABLE users (id INT, name VARCHAR(50), posts_count INT, followers INT); CREATE TABLE posts (id INT, user_id INT, post_text VARCHAR(255)); | What is the average number of followers per post for users in the social_media schema? | SELECT AVG(followers / posts_count) FROM users JOIN posts ON users.id = posts.user_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE subway_delays (route_id INT, delay DECIMAL(3,2), date DATE); INSERT INTO subway_delays (route_id, delay, date) VALUES (1, 3.1, '2022-02-01'), (1, 4.2, '2022-02-02'), (2, 2.9, '2022-02-01'), (2, 3.0, '2022-02-02'), (3, 0.0, '2022-02-01'), (3, 0.1, '2022-02-02'); CREATE TABLE subway_routes_ext (id INT, name ... | What is the total number of delays and the maximum delay for each subway line? | SELECT r.name, COUNT(d.route_id) AS total_delays, MAX(d.delay) AS max_delay FROM subway_delays d JOIN subway_routes_ext r ON d.route_id = r.id GROUP BY r.name; | gretelai_synthetic_text_to_sql |
CREATE TABLE mine (id INT, name TEXT, location TEXT); INSERT INTO mine (id, name, location) VALUES (1, 'Mine A', 'Country X'), (2, 'Mine B', 'Country Y'); CREATE TABLE environmental_impact (mine_id INT, co2_emission INT); INSERT INTO environmental_impact (mine_id, co2_emission) VALUES (1, 1000), (2, 1500); | What is the total CO2 emission for each mine? | SELECT mine_id, SUM(co2_emission) as total_emission FROM environmental_impact GROUP BY mine_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE Donations (id INT, user VARCHAR(255), amount DECIMAL(10, 2)); INSERT INTO Donations (id, user, amount) VALUES (1, 'John', 50.00), (2, 'Jane', 25.00); | What is the minimum donation amount in the Donations table? | SELECT MIN(amount) FROM Donations; | gretelai_synthetic_text_to_sql |
CREATE TABLE mental_health_parity (diagnosis VARCHAR(10), incidents INT); INSERT INTO mental_health_parity (diagnosis, incidents) VALUES ('F33', 120), ('F41', 150), ('F60', 80); | What is the total number of mental health parity violation incidents for each diagnosis code? | SELECT diagnosis, SUM(incidents) FROM mental_health_parity GROUP BY diagnosis; | gretelai_synthetic_text_to_sql |
CREATE TABLE music_genres (genre VARCHAR(255), revenue FLOAT, marketing_budget FLOAT, release_year INT); INSERT INTO music_genres VALUES ('Afrobeats', 90000, 35000, 2021); CREATE TABLE time_periods (period VARCHAR(255), year INT); INSERT INTO time_periods VALUES ('2018', 2018), ('2019', 2019), ('2020', 2020), ('2021... | Insert a new record for Afrobeats with 2021 revenue and 2021 marketing budget | INSERT INTO music_genres (genre, revenue, marketing_budget, release_year) VALUES ('Afrobeats', 100000, 40000, 2021); | gretelai_synthetic_text_to_sql |
CREATE TABLE vaccinations (id INT, patient_id INT, vaccine_type TEXT, date_given DATE); INSERT INTO vaccinations (id, patient_id, vaccine_type, date_given) VALUES (1, 123, 'Influenza', '2019-12-01'); INSERT INTO vaccinations (id, patient_id, vaccine_type, date_given) VALUES (2, 456, 'COVID-19', '2020-03-20'); INSERT IN... | How many unique types of vaccinations were given in New York state in 2020? | SELECT COUNT(DISTINCT vaccine_type) FROM vaccinations WHERE date_given >= '2020-01-01' AND date_given < '2021-01-01' AND state = 'NY'; | gretelai_synthetic_text_to_sql |
CREATE TABLE collections (collection_name VARCHAR(20), product_type VARCHAR(20), price DECIMAL(5,2)); INSERT INTO collections (collection_name, product_type, price) VALUES ('spring22', 'shirt', 25.99), ('spring22', 'shirt', 30.99), ('spring22', 'pant', 40.00), ('fall21', 'shirt', 20.00), ('fall21', 'shirt', 25.00), ('f... | Which collection has the most products? | SELECT collection_name, COUNT(*) FROM collections GROUP BY collection_name ORDER BY COUNT(*) DESC LIMIT 1; | gretelai_synthetic_text_to_sql |
CREATE TABLE Buildings (id INT, state VARCHAR(2), building_type VARCHAR(10), occupancy_classification VARCHAR(10), resilience_score INT); INSERT INTO Buildings (id, state, building_type, occupancy_classification, resilience_score) VALUES (1, 'NY', 'Office', 'Assembly', 80), (2, 'NY', 'Educational', 'Business', 75), (3,... | What is the average resilience score for public buildings in New York, categorized by building type and occupancy classification? | SELECT building_type, occupancy_classification, AVG(resilience_score) FROM Buildings WHERE state = 'NY' GROUP BY building_type, occupancy_classification; | gretelai_synthetic_text_to_sql |
CREATE TABLE india_mines (id INT, mine_name TEXT, location TEXT, num_employees INT, production_rate FLOAT); INSERT INTO india_mines (id, mine_name, location, num_employees, production_rate) VALUES (1, 'Graphite Glory', 'Tamil Nadu, India', 150, 3000.0), (2, 'Carbon Castles', 'Jharkhand, India', 200, 4000.0); | Determine labor productivity metrics for graphite mines in India. | SELECT mine_name, num_employees, production_rate, production_rate/num_employees AS labor_productivity FROM india_mines WHERE mineral = 'Graphite'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Inventory (inventory_id INT PRIMARY KEY, menu_item VARCHAR(50), inventory_quantity INT, inventory_cost DECIMAL(5,2), inventory_date DATE); CREATE TABLE Menu (menu_item VARCHAR(50) PRIMARY KEY, menu_item_category VARCHAR(50)); | What is the total inventory cost for each menu item in the "dessert" category from the past month? | SELECT m.menu_item, SUM(i.inventory_cost * i.inventory_quantity) FROM Inventory i JOIN Menu m ON i.menu_item = m.menu_item WHERE m.menu_item_category = 'dessert' AND i.inventory_date >= DATEADD(month, -1, GETDATE()) GROUP BY m.menu_item; | gretelai_synthetic_text_to_sql |
CREATE TABLE broadband_subscribers (subscriber_id INT, subscriber_name VARCHAR(50), monthly_data_usage DECIMAL(10,2)); INSERT INTO broadband_subscribers (subscriber_id, subscriber_name, monthly_data_usage) VALUES (1, 'Ram', 75.50), (2, 'Shyam', 120.75), (3, 'Radha', 110.25); | List all the broadband subscribers who have used more than 100 GB data in a month and their monthly data usage, sorted by the data usage in descending order. | SELECT subscriber_id, subscriber_name, monthly_data_usage FROM broadband_subscribers WHERE monthly_data_usage > 100 ORDER BY monthly_data_usage DESC; | gretelai_synthetic_text_to_sql |
CREATE TABLE LandfillCapacity (Region TEXT, Capacity INTEGER); INSERT INTO LandfillCapacity (Region, Capacity) VALUES ('NorthEast', 5000), ('SouthEast', 7000), ('MidWest', 6000), ('SouthWest', 4000), ('NorthWest', 8000), ('Europe', 9000), ('Asia', 10000); CREATE TABLE CircularEconomyInitiatives (Region TEXT, Initiative... | Identify the circular economy initiatives in the regions with the lowest landfill capacity and their respective capacities. | SELECT Region, Initiative, Capacity FROM (SELECT Region, Initiative, Capacity, ROW_NUMBER() OVER (ORDER BY Capacity ASC) as rn FROM CircularEconomyInitiatives ce INNER JOIN LandfillCapacity lc ON ce.Region = lc.Region) t WHERE t.rn <= 3; | gretelai_synthetic_text_to_sql |
CREATE TABLE menus (menu_id INT, menu_name TEXT, type TEXT, price DECIMAL, quarter DATE); INSERT INTO menus (menu_id, menu_name, type, price, quarter) VALUES (1, 'Quinoa Salad', 'Vegetarian', 12.99, '2022-01-01'), (2, 'Chicken Caesar Wrap', 'Gluten-free', 10.99, '2022-02-15'), (3, 'Vegan Burger', 'Vegan', 14.99, '2022-... | How many vegan menu items were sold in the first quarter of 2022? | SELECT COUNT(*) FROM menus WHERE type = 'Vegan' AND quarter = '2022-01-01'; | gretelai_synthetic_text_to_sql |
CREATE TABLE department (name VARCHAR(255), id INT);CREATE TABLE professor (name VARCHAR(255), gender VARCHAR(255), department_id INT, grant_amount DECIMAL(10,2)); | How many male professors are there in the Mathematics department with no research grants? | SELECT COUNT(DISTINCT name) FROM professor WHERE gender = 'Male' AND department_id IN (SELECT id FROM department WHERE name = 'Mathematics') AND grant_amount IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE unions (union_id INT, union_name TEXT, advocacy TEXT, members INT); INSERT INTO unions (union_id, union_name, advocacy, members) VALUES (1001, 'United Steelworkers', 'labor rights', 5000); INSERT INTO unions (union_id, union_name, advocacy, members) VALUES (1002, 'Transport Workers Union', 'collective barg... | What is the average number of members per union advocating for collective bargaining? | SELECT AVG(u.members) FROM unions u WHERE u.advocacy = 'collective bargaining'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Subscribers (subscriber_id INT, service VARCHAR(20), region VARCHAR(20), revenue FLOAT, payment_date DATE); INSERT INTO Subscribers (subscriber_id, service, region, revenue, payment_date) VALUES (1, 'Broadband', 'Metro', 50.00, '2022-01-01'), (2, 'Mobile', 'Urban', 35.00, NULL), (3, 'Mobile', 'Rural', 20.0... | Delete subscribers who have not made any payments in Q4 of 2021 for the 'Mobile' service. | DELETE FROM Subscribers WHERE service = 'Mobile' AND QUARTER(payment_date) = 4 AND YEAR(payment_date) = 2021 AND payment_date IS NULL; | gretelai_synthetic_text_to_sql |
CREATE TABLE forests (id INT, species VARCHAR(255), year INT, volume FLOAT); INSERT INTO forests (id, species, year, volume) VALUES (1, 'Pine', 2018, 1200.5), (2, 'Oak', 2019, 1500.3), (3, 'Maple', 2020, 2000.7), (4, 'Birch', 2020, 1750.6); | What is the total volume of timber harvested in 2020, grouped by species? | SELECT species, SUM(volume) as total_volume FROM forests WHERE year = 2020 GROUP BY species; | gretelai_synthetic_text_to_sql |
CREATE TABLE forests (id INT, name VARCHAR(255)); INSERT INTO forests (id, name) VALUES (1, 'Forest 1'), (2, 'Forest 2'), (3, 'Forest 3'); CREATE TABLE trees (id INT, forest_id INT, age INT); INSERT INTO trees (id, forest_id, age) VALUES (1, 1, 60), (2, 1, 45), (3, 2, 55), (4, 2, 65), (5, 3, 35), (6, 3, 30); | Which forests have more than 100 trees with ages over 50 years? | SELECT f.name FROM forests f JOIN (SELECT forest_id FROM trees WHERE age > 50 GROUP BY forest_id HAVING COUNT(*) > 100) t ON f.id = t.forest_id; | gretelai_synthetic_text_to_sql |
CREATE TABLE marine_species (id INT, name VARCHAR(255), class VARCHAR(255), depth FLOAT); INSERT INTO marine_species (id, name, class, depth) VALUES (1, 'Pacific salmon', 'Actinopterygii', 50.0), (2, 'Blue whale', 'Mammalia', 500.0), (3, 'Sea anemone', 'Anthozoa', 0.01); | What is the maximum depth of all marine species, grouped by class? | SELECT class, MAX(depth) AS max_depth FROM marine_species GROUP BY class; | gretelai_synthetic_text_to_sql |
CREATE TABLE Bridges (id INT, name VARCHAR(50), location VARCHAR(50)); INSERT INTO Bridges (id, name, location) VALUES (1, 'Texas Twin Span', 'Texas'); | Display the names and locations of all bridges in Texas | SELECT name, location FROM Bridges WHERE state = 'Texas'; | gretelai_synthetic_text_to_sql |
CREATE TABLE organic_farms (id INT, country VARCHAR(50), region VARCHAR(50), no_farms INT, certified BOOLEAN); INSERT INTO organic_farms (id, country, region, no_farms, certified) VALUES (1, 'Kenya', 'Africa', 1000, TRUE); INSERT INTO organic_farms (id, country, region, no_farms, certified) VALUES (2, 'Tanzania', 'Afri... | How many organic farms are in 'Africa' with a certification? | SELECT SUM(no_farms) FROM organic_farms WHERE region = 'Africa' AND certified = TRUE; | gretelai_synthetic_text_to_sql |
CREATE TABLE Sales (SaleID INT, Game VARCHAR(50), Platform VARCHAR(50), Revenue INT, SalesDate DATE); INSERT INTO Sales (SaleID, Game, Platform, Revenue, SalesDate) VALUES (1, 'Beat Saber', 'Oculus', 50, '2023-02-12'); INSERT INTO Sales (SaleID, Game, Platform, Revenue, SalesDate) VALUES (2, 'Superhot VR', 'HTC Vive', ... | What is the total revenue of VR games in 2023? | SELECT SUM(Revenue) FROM Sales WHERE Platform = 'VR' AND YEAR(SalesDate) = 2023; | gretelai_synthetic_text_to_sql |
CREATE TABLE app_creativity (application_name TEXT, creativity_score FLOAT); INSERT INTO app_creativity (application_name, creativity_score) VALUES ('Application1', 0.60), ('Application2', 0.85), ('Application3', 0.77); | What is the minimum creativity score for each AI application in the 'app_creativity' table? | SELECT application_name, MIN(creativity_score) OVER (PARTITION BY application_name) AS min_creativity_score FROM app_creativity; | gretelai_synthetic_text_to_sql |
CREATE TABLE community_policing (id INT, event_type VARCHAR(20), location VARCHAR(20), event_date DATE); INSERT INTO community_policing (id, event_type, location, event_date) VALUES (1, 'meeting', 'northside', '2019-07-01'); | What was the total number of community policing events held in 'northside' and 'southside' in Q3 of 2019? | SELECT SUM(*) FROM community_policing WHERE location IN ('northside', 'southside') AND event_date BETWEEN '2019-07-01' AND '2019-09-30'; | gretelai_synthetic_text_to_sql |
CREATE TABLE areas (id INT, name VARCHAR(20)); INSERT INTO areas (id, name) VALUES (1, 'Urban'), (2, 'Rural'); CREATE TABLE budget (item VARCHAR(20), area_id INT, amount INT); INSERT INTO budget (item, area_id, amount) VALUES ('Healthcare', 1, 7000000), ('Healthcare', 2, 4000000); | What is the total budget allocated for healthcare in rural areas? | SELECT SUM(amount) FROM budget WHERE item = 'Healthcare' AND area_id = (SELECT id FROM areas WHERE name = 'Rural'); | gretelai_synthetic_text_to_sql |
CREATE TABLE community_health_workers (id INT, name VARCHAR(50), region VARCHAR(50), years_of_experience INT); | Identify community health workers with more than 10 years of experience | SELECT community_health_workers.name FROM community_health_workers WHERE community_health_workers.years_of_experience > 10; | gretelai_synthetic_text_to_sql |
CREATE TABLE meat (id INT, name VARCHAR(255), qty_sold INT); INSERT INTO meat (id, name, qty_sold) VALUES (1, 'Locally Sourced Chicken', 500), (2, 'Grass Fed Beef', 400), (3, 'Free Range Pork', 300); CREATE TABLE date (id INT, date DATE); INSERT INTO date (id, date) VALUES (1, '2022-03-21'), (2, '2022-03-22'), (3, '202... | What is the total quantity of 'Locally Sourced Chicken' sold this week? | SELECT SUM(qty_sold) AS total_qty_sold FROM meat WHERE name = 'Locally Sourced Chicken' AND date IN (SELECT date FROM date WHERE date BETWEEN DATE_SUB(NOW(), INTERVAL 1 WEEK) AND NOW()); | gretelai_synthetic_text_to_sql |
CREATE TABLE subscriber_activity (subscriber_id INT, last_activity_date DATE, region VARCHAR(20)); INSERT INTO subscriber_activity (subscriber_id, last_activity_date, region) VALUES (1, '2022-01-01', 'Southwest'), (2, '2022-06-15', 'Southwest'), (3, '2021-12-31', 'Southwest'); | Delete subscribers who have not used mobile services in the last 6 months in the Southwest region. | DELETE FROM subscriber_activity WHERE last_activity_date < (CURRENT_DATE - INTERVAL '6 months') AND region = 'Southwest'; | gretelai_synthetic_text_to_sql |
CREATE TABLE Brokers (BrokerID INT, CommissionRate DECIMAL(5,2)); INSERT INTO Brokers (BrokerID, CommissionRate) VALUES (1, 0.03); CREATE TABLE Claims (ClaimID INT, BrokerID INT, ClaimAmount INT, ClaimDate DATE); INSERT INTO Claims (ClaimID, BrokerID, ClaimAmount, ClaimDate) VALUES (1, 1, 12000, '2021-05-15'); | Which brokers have processed claims exceeding $10000 in the last 6 months, and what are their broker IDs, commission rates, and the total claim amount? | SELECT b.BrokerID, b.CommissionRate, SUM(c.ClaimAmount) AS TotalClaimAmount FROM Brokers b INNER JOIN Claims c ON b.BrokerID = c.BrokerID WHERE c.ClaimDate >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH) AND c.ClaimAmount > 10000 GROUP BY b.BrokerID; | gretelai_synthetic_text_to_sql |
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