OALL/details_utter-project__EuroLLM-9B-Instruct

该数据集是在评估模型utter-project/EuroLLM-9B-Instruct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。数据集由一次运行创建，每个运行都可以在特定配置中找到，分割的名称使用运行的日期时间。train分割始终指向最新的结果。还有一个额外的配置results存储运行的所有聚合结果。README文件中还包含了使用Python的datasets库加载运行详细信息的示例代码。文件还列出了特定运行的最新结果，提供了各种任务的准确率指标。

Dataset automatically created during the evaluation run of model [utter-project/EuroLLM-9B-Instruct](https://huggingface.co/utter-project/EuroLLM-9B-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 store all the aggregated results of the run.