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ZJU-Safety/DataShield

🛡️ DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment ⚡ Find risky data before fine-tuning. ⚡ We use DataShield to continuously release risk-scored versions of widely used fine-tuning datasets. Every release keeps the original training example together with one final risk_score, making it easy to remove the highest-risk portion before training. Quick Start · Choose a Ratio · Code · Paper ✨ Overview Each record… See the full description on the dataset page: https://huggingface.co/datasets/ZJU-Safety/DataShield.

Author / organizationZJU-Safety
License (as declared)other
Downloads160 (as reported by Hugging Face)
Likes1
Created26 August 2026
Last updated at source9 October 2026
safetyalignmentinstruction-tuningdata-filteringrisk-scoringemnlp
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