OALL/details_arcee-ai__Virtuoso-Lite
收藏Hugging Face2025-02-06 更新2025-02-15 收录
下载链接：
https://hf-mirror.com/datasets/OALL/details_arcee-ai__Virtuoso-Lite
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资源简介：
数据集是在评估模型[arcee-ai/Virtuoso-Lite](https://huggingface.co/arcee-ai/Virtuoso-Lite)的运行过程中自动创建的。数据集包含136个配置，每个配置对应一个评估任务。数据集由1次运行创建，每次运行都可以在特定的分割中找到，分割名称使用运行的时戳命名。"train"分割始终指向最新的结果。此外，还有一个名为"results"的额外配置，存储了所有运行的聚合结果。要加载特定运行的详细信息，可以使用以下Python代码：python
from datasets import load_dataset
data = load_dataset("OALL/details_arcee-ai__Virtuoso-Lite", "lighteval_xstory_cloze_ar_0_2025_02_06T06_41_41_278708_parquet", split="train")
Dataset automatically created during the evaluation run of model [arcee-ai/Virtuoso-Lite](https://huggingface.co/arcee-ai/Virtuoso-Lite). The dataset is composed of 136 configuration, 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_arcee-ai__Virtuoso-Lite", "lighteval_xstory_cloze_ar_0_2025_02_06T06_41_41_278708_parquet", split="train")
提供机构：
OALL
