OALL/details_Sakalti__ultiima-72B

该数据集是在对模型 [Sakalti/ultiima-72B](https://huggingface.co/Sakalti/ultiima-72B) 进行评估时自动生成的。数据集包含 136 个配置，每个配置对应一个评估任务。数据集由一次运行生成，每个配置都有一个特定的分割，分割名称使用运行的时戳命名。train 分割始终指向最新的结果。还有一个额外的配置 results 存储所有运行的聚合结果。README 还包括一个 Python 代码示例，演示如何从一个运行中加载数据。

Dataset automatically created during the evaluation run of model [Sakalti/ultiima-72B](https://huggingface.co/Sakalti/ultiima-72B). The dataset is composed of 136 configuration, each one corresponding to one of the evaluated tasks. It was generated from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run. The train split is always pointing to the latest results. An additional configuration results stores all the aggregated results of the run.