MinKeonKim/PRO-STEP-PRM-Data

PRO-STEP: PRM Training Annotations Paper: PRO-STEP: Step-level Process Reward Optimization for Retrieval-Augmented GenerationCode: https://github.com/keemminnke/PRO-Step Step-level annotations used to train the PRO-STEP PRM. Total step annotations: ~109K across 31,728 trajectories Source questions: 2,000 (HotpotQA + MuSiQue training splits) Generation: 16 sampled trajectories per question with Qwen2.5-7B-Instruct Annotator: QwQ-32B (open-source reasoning model), prompted with… See the full description on the dataset page: https://huggingface.co/datasets/MinKeonKim/PRO-STEP-PRM-Data.

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