Phishing Dataset for Model Fine-Tuning

A dataset hosted on Kaggle, likely intended for fine-tuning machine learning models to detect phishing attempts. The title suggests it contains examples of phishing-related data, but specific content, size, and features are not detailed in the provided metadata. Further verification is required to confirm the dataset's structure and intended application.

Use Cases

• Fine-tune a classifier to distinguish phishing emails from legitimate ones (inferred from domain, verify after download)
• Train a model to identify malicious URLs or website features (inferred from domain, verify after download)
• Benchmark phishing detection algorithms against a shared dataset (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing and community features.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and file formats are unknown, which may limit suitability assessment.
• Data may reflect temporal or source bias inherent to its collection method on Kaggle.

Provenance

Source

Kaggle

Collection Method

Likely user-uploaded or scraped from public sources, but specific method is unknown.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null