Safety Multimodal Jailbreaking Dataset for AI Model Testing

Safety Multimodal Jailbreaking is a dataset hosted on HuggingFace by author leeeliu. The dataset was last updated on 2026-01-28, suggesting ongoing maintenance. Its title indicates it likely contains examples for testing or bypassing safety measures in multimodal AI systems.

Use Cases

• Benchmarking model resilience to multimodal adversarial prompts (inferred from domain, verify after download)
• Training or fine-tuning safety filters for vision-language models (inferred from domain, verify after download)
• Studying failure modes in AI alignment for combined text and image inputs (inferred from domain, verify after download)

Strengths

• Published on the HuggingFace platform, a major hub for AI datasets and models.
• Last updated on 2026-01-28 09:42:25, indicating recent activity.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Freshness

Last updated 2026-01-28 09:42:25.