OALL/details_CohereLabs__aya-expanse-8b_v2

该数据集是在评估 CohereLabs/aya-expanse-8b 模型过程中自动创建的。数据集由 116 个配置组成，每个配置对应一个评估任务。数据集的结构包括以运行时间戳命名的分割，其中 train 分割始终指向最新的结果。还有一个额外的 results 配置存储运行的所有汇总结果。可以使用提供的 Python 代码片段加载数据集。

Dataset automatically created during the evaluation run of model [CohereLabs/aya-expanse-8b](https://huggingface.co/CohereLabs/aya-expanse-8b). The dataset is composed of 116 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: python
from datasets import load_dataset
data = load_dataset("OALL/details_CohereLabs__aya-expanse-8b_v2", "results", split="train")