microsoft/CoSAlign-Train

CoSAlign-Train: A Large-Scale Synthetic Training Dataset for Controllable Safety Alignment Paper: Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements, published at ICLR 2025. Purpose: Training dataset for controllable safety alignment (CoSA) of large language models (LLMs), facilitating fine-grained inference-time adaptation to diverse safety requirements. Description: CoSAlign-Train is a large-scale, synthetic preference dataset designed for… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/CoSAlign-Train.

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