OALL/details_Sakalti__SakaMoe-3x14B-Instruct

这是在模型[Sakalti/SakaMoe-3x14B-Instruct](https://huggingface.co/Sakalti/SakaMoe-3x14B-Instruct)评估运行期间自动创建的数据集。数据集由136个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的。每次运行都可以在每个配置中找到作为特定分割，分割的名称使用运行的timestamp。"train"分割总是指向最新的结果。此外，还有一个名为"results"的配置，存储了运行的所有聚合结果。要加载数据，可以使用以下Python代码加载特定运行的数据。

Dataset automatically created during the evaluation run of model [Sakalti/SakaMoe-3x14B-Instruct](https://huggingface.co/Sakalti/SakaMoe-3x14B-Instruct). The dataset is composed of 136 configurations, each one corresponding to one of the evaluated tasks. The dataset has been created 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. To load the details from a run, you can for instance do the following: