OALL/details_Ba2han__QwQenSeek-coder

这个数据集是在评估模型 [Ba2han/QwQenSeek-coder](https://huggingface.co/Ba2han/QwQenSeek-coder) 的运行过程中自动创建的。数据集包含 136 个配置，每个配置对应一个评估任务。数据集由一次运行创建，每次运行都可以通过具有运行时间戳的特定分割来访问。train 分割始终指向最新结果。还有一个名为 results 的附加配置，用于存储所有运行的综合结果。README 文件中提供了一个 Python 示例，演示如何使用 datasets 库加载数据集的详细信息。它还提供了一个链接，指向 2025 年 2 月 6 日的最新结果，并包含一个 JSON 片段，显示结果数据的结构。

Dataset automatically created during the evaluation run of model [Ba2han/QwQenSeek-coder](https://huggingface.co/Ba2han/QwQenSeek-coder). The dataset consists of 136 configurations, each corresponding to an evaluated task. It has been created from one run, and each run can be accessed through a specific split named with the timestamp of the run. The train split always points to the latest results. There is also an additional configuration called results that stores all the aggregated results of the run. The README includes an example of how to load details from a run using Python and the datasets library. It also provides a link to the latest results from a specific run on February 6, 2025, and includes a JSON snippet showing the structure of the results data.