Moroccan Used Cars Dataset (MUCars - 2024)

It includes detailed attributes like vehicle type, brand, model, price, condition, mileage, location, and additional features such as fiscal power, equipment, and ownership history. It also incorporates textual descriptions for natural language analysis.

This dataset is ideal for developing advanced AI applications, such as price prediction models, vehicle segmentation, and buyer behavior analysis. With its detailed and diverse data, MUCars-2024 enables in-depth research on market trends, spatial and temporal dynamics, and the automotive market’s economic impact. It is also a valuable linguistic resource for NLP tasks.