sail/Sanity-Test-R1D-1.5B

This dataset is designed as a sanity test on RL algorithms for DeepSeek-R1-Distill-Qwen-1.5B model under 8k context length. A reliable RL algorithm should achieve above 95% training accuracy for BF16 and 98% for FP16. This is the dataset used in the paper: Defeating the Training-Inference Mismatch via FP16. For more details: https://arxiv.org/pdf/2510.26788 Reproducible code: https://github.com/sail-sg/Precision-RL We construct this dataset by filtering out those overly trivial and unsolvable… See the full description on the dataset page: https://huggingface.co/datasets/sail/Sanity-Test-R1D-1.

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