PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset

PolyGuard is a large-scale dataset for AI safety, grounded in safety policies across multiple domains. It was created by Virtue-AI-HUB and was last updated on May 23, 2025. The dataset is hosted on the Hugging Face platform.

Use Cases

• Training safety classifiers based on policy-grounded examples
• Benchmarking the robustness of AI guardrails across different domains
• Developing content moderation systems based on structured safety policies
• Fine-tuning language models for safer generation in multi-domain contexts
• Analyzing policy compliance in AI-generated text.

Strengths

• The dataset is described as 'massive', suggesting a large scale of examples
• It covers multiple domains, which likely increases its breadth and applicability
• It is explicitly grounded in safety policies, providing a structured foundation for guardrail development

Limitations

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

Provenance

Source

Virtue-AI-HUB

Freshness

Last updated 2025-05-23 11:31:52; freshness should be verified