V2X Message Classification, Prioritization, and Spam Detection Dataset

The dataset contains a collection of V2X (Vehicle-to-Everything) messages for classification, prioritization, and spam message detection. It comprises 1,000 messages with varying message types, content, priorities, and spam labels. The messages are sourced from different vehicles with specific destination vehicles or broadcast to all vehicles. They cover various message types, including traffic updates, emergency alerts, weather notifications, hazard warnings, roadwork information, and spam messages. The priority of the messages is categorized as either high, medium, or low. High-priority messages typically involve emergencies or critical situations that require immediate attention. Medium-priority messages include traffic updates, roadwork notices, and hazard warnings. Low-priority messages consist of spam or promotional content. The dataset includes a spam label to indicate whether a message is classified as spam. Spam messages contain promotional offers, limited-time deals, or discounts, while non-spam messages convey important information related to traffic, emergencies, weather conditions, and roadwork. The dataset aims to facilitate developing and evaluating machine learning models for V2X message classification, prioritization, and spam message detection. It can be used for training and testing models to automatically analyze and process V2X messages for effective communication and decision-making in intelligent transportation systems.