The Spam Email Detection dataset is a labeled email dataset for spam detection tasks, designed to support research related to classification modeling, natural language processing, and feature engineering, and improve the model's ability to identify spam. This dataset contains email subject and body text, and extracts word count, text features, and engineered numerical features. It also includes spam tags and can be used for binary classification tasks.

Data fields:

• subject: A string representing the email subject content.
• email_text: A string type representing the email body text.
• num_words: An integer representing the word count statistics of the email.
• label: A string representing the email category label (spam/non-spam).