Email Dataset for Phishing Detection and NLP Classification

Phishing Email Detection Dataset is a collection of emails intended for use in phishing detection, natural language processing, and classification tasks. The dataset was sourced from Kaggle, but its author, organization, and creation date are unknown. The specific number of records, file formats, and column-level details are not provided in the available metadata.

Use Cases

• Train phishing detection classifiers based on email text content.
• Benchmark NLP models for binary classification of malicious versus legitimate emails.
• Analyze linguistic features common to phishing attempts mentioned in the description.

Strengths

• The dataset is explicitly designed for the concrete task of phishing detection.
• It is described as suitable for both NLP and classification, indicating a dual-purpose structure.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kaggle