anisha2102/RaR-Medicine

Dataset Summary RaR-Medicine is a dataset curated for training and evaluating language models on medical question answering using structured rubric-based supervision. Each example includes a medical question, a reference answer, and checklist-style rubric annotations generated via OpenAI's GPT-4o model. This dataset is introduced in Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains. Dataset Structure Data Fields Each example… See the full description on the dataset page: https://huggingface.co/datasets/anisha2102/RaR-Medicine.

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