OALL/details_utter-project__EuroLLM-9B

该数据集是在评估模型[utter-project/EuroLLM-9B](https://huggingface.co/utter-project/EuroLLM-9B)时自动创建的。数据集由136个配置组成，每个配置对应一个评估任务。数据集由1次运行创建，每次运行都可作为特定分割在每个配置中找到，分割名称使用运行的的时间戳。"train"分割始终指向最新的结果。还有一个额外的配置"results"存储所有运行的综合结果。文件还提供了一个使用Python中的datasets库加载数据集详细信息的示例。

The dataset is automatically created during the evaluation run of the model [utter-project/EuroLLM-9B](https://huggingface.co/utter-project/EuroLLM-9B). The dataset consists of 136 configurations, each corresponding to an evaluated task. The dataset has been created from 1 run(s), with each run available as a specific split named by the timestamp of the run. The "train" split always points to the latest results. An additional configuration "results" stores all the aggregated results of the run. The file also provides an example of how to load the details from a run using the datasets library in Python.