llm-compe-2025-kato/step2-DeepMath-103K-Bespoke-Filtered-Test-200-eval-cp40

这是一个包含问题和答案以及对应Chain of Thought解释的数据集，共有58个处理过的样本，每个样本都成功生成了有效的解释。数据集使用了Qwen3-14B-step2-deepmath103k-bs512模型，并且对生成的内容有严格的质量控制，确保包含必要的开始和结束标签，且解释内容非空。数据集的样本大小分布在830到6301个token之间，主要分布在2001-5000个token的范围内。

This dataset consists of questions, answers, and corresponding Chain of Thought explanations. There are a total of 58 processed samples, each of which has successfully generated a valid explanation. The dataset was created using the Qwen3-14B-step2-deepmath103k-bs512 model, and it has strict quality control over the generated content, ensuring that it includes necessary start and end tags and that the explanation content is not empty. The sample token sizes range from 830 to 6301, with the majority falling within the range of 2001-5000 tokens.