OALL/details_silma-ai__SILMA-Kashif-2B-Instruct-v1.0
收藏Hugging Face2025-02-04 更新2025-02-15 收录
下载链接：
https://hf-mirror.com/datasets/OALL/details_silma-ai__SILMA-Kashif-2B-Instruct-v1.0
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资源简介：
该数据集是在对模型silma-ai/SILMA-Kashif-2B-Instruct-v1.0进行评估时自动创建的。数据集由137个配置组成，每个配置对应一个评估任务。数据集由2次运行创建，每次运行都有一个特定的分割，分割名称使用运行的时间戳。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。可以使用load_dataset函数从运行中加载数据。
Dataset automatically created during the evaluation run of model [silma-ai/SILMA-Kashif-2B-Instruct-v1.0](https://huggingface.co/silma-ai/SILMA-Kashif-2B-Instruct-v1.0). The dataset is composed of 137 configurations, each corresponding to one of the evaluated tasks. The dataset has been created from 2 runs. 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. 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_silma-ai__SILMA-Kashif-2B-Instruct-v1.0", "lighteval_xstory_cloze_ar_0_2025_02_04T14_28_47_858175_parquet", split="train")
提供机构：
OALL
