cais/MASK

The MASK Evaluation 🌐 Website | 📄 Paper | GitHub Center for AI Safety & Scale AI The MASK evaluation provides a rigorous benchmark for evaluating honesty in large language models by measuring whether models remain truthful when incentivized to lie. The public set contains 1,028 high-quality human-labeled examples across six distinct archetypes, each consisting of a proposition, ground truth, pressure prompt designed to elicit lying, and belief elicitation prompt to… See the full description on the dataset page: https://huggingface.co/datasets/cais/MASK.

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