Tongyi-Zhiwen/DocQA-RL-1.6K

To construct a challenging RL dataset for verifiable long-context reasoning, we develop 🤗 DocQA-RL-1.6K, which comprises 1.6K DocQA problems across three reasoning domains: (1) Mathematical Reasoning: We use 600 problems from the DocMath dataset, requiring numerical reasoning across long and specialized documents such as financial reports. For DocMath, we sample 75% items from each subset from its valid split for training and 25% for evaluation; (2) Logical Reasoning: We employ DeepSeek-R1… See the full description on the dataset page: https://huggingface.co/datasets/Tongyi-Zhiwen/DocQA-RL-1.

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