anisha2102/RaR-Science

Dataset Summary RaR-Science is a dataset curated for training and evaluating language models on science domain using structured rubric-based supervision. Each example includes a science related question, a reference answer, and checklist-style rubric annotations generated via OpenAI's o3-mini. This dataset is introduced in Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains. Dataset Structure Data Fields Each example contains:… See the full description on the dataset page: https://huggingface.co/datasets/anisha2102/RaR-Science.

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