virtuoussy/Multi-subject-RLVR
Multi-subject data for paper "Expanding RL with Verifiable Rewards Across Diverse Domains". we use a multi-subject multiple-choice QA dataset ExamQA (Yu et al., 2021). Originally written in Chinese, ExamQA covers at least 48 first-level subjects. We remove the distractors and convert each instance into a free-form QA pair. This dataset consists of 638k college-level instances, with both questions and objective answers written by domain experts for examination purposes. We also use GPT-4o-mini… See the full description on the dataset page: https://huggingface.co/datasets/virtuoussy/Multi-subjec
| Author / organization | virtuoussy |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 182 (as reported by Hugging Face) |
| Likes | 67 |
| Created | 31 March 2025 |
| Last updated at source | 16 April 2025 |
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- mradermacher/Master-RM-i1-GGUFModel · used to train
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