遇见数据集

prestonfu/OpenMathReasoning-subset30kfiltered-Qwen3-1.7B-2k-concise-with-answer

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Hugging Face2025-12-12 更新2025-12-20 收录
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资源简介:

该数据集包含多个特征字段,涵盖了问题、答案、解决方案、推理模式等信息。数据集分为多个子集(cot、cot_zero、cot_hard、cot_medium、cot_easy),每个子集有不同的字节大小和示例数量。数据集主要用于自然语言处理任务,特别是与问题解答和推理相关的任务。

The dataset includes multiple feature fields such as expected_answer, problem_type, problem_source, etc., covering information like questions, answers, solutions, and inference modes. The dataset is divided into several subsets (cot, cot_zero, cot_hard, cot_medium, cot_easy), each with different byte sizes and example counts. The dataset is primarily used for natural language processing tasks, especially those related to question answering and reasoning.

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