The dataset consists of a CSV file containing of 300 generated email spam messages.
Each row in the file represents a separate email message, its title and text.
The dataset aims to facilitate the analysis and detection of spam emails.
The dataset can be used for various purposes, such as training machine learning
algorithms to classify and filter spam emails, studying spam email patterns,
or analyzing text-based features of spam messages.
