Illegal Web: Multimodal Dataset for Website Content Classification

A multimodal dataset for classifying illegal website content. The dataset is hosted on Kaggle, but the author, organization, and specific collection details are not provided. The last update date and data volume are unknown.

Use Cases

• Train multimodal classifiers for illegal content detection based on the described website content.
• Benchmark machine learning models for web safety and content filtering tasks.
• Analyze patterns in illegal web content using combined data modalities.

Strengths

• Dataset is described as multimodal, suggesting it contains multiple data types for classification.
• The specific focus on illegal web content provides a clear application domain.

Limitations

• Row count, file formats, and data size are unknown, which limits 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