OALL/details_hotmailuser__QwenSlerp2-14B
收藏Hugging Face2025-01-22 更新2025-02-15 收录
下载链接：
https://hf-mirror.com/datasets/OALL/details_hotmailuser__QwenSlerp2-14B
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资源简介：
这是一个在模型hotmailuser/QwenSlerp2-14B的评估过程中自动创建的数据集。数据集由136个配置组成，每个配置对应一个评估任务。数据集是通过1次运行创建的，每次运行都可以在特定的分割中找到，分割的名称使用运行的的时间戳。train分割始终指向最新的结果。此外，还有一个额外的配置results，存储了运行的所有汇总结果。要加载运行详情，可以使用以下Python代码：from datasets import load_dataset
data = load_dataset("OALL/details_hotmailuser__QwenSlerp2-14B", "lighteval_xstory_cloze_ar_0_2025_01_22T05_50_41_980749_parquet", split="train")
This is a dataset automatically created during the evaluation run of model [hotmailuser/QwenSlerp2-14B](https://huggingface.co/hotmailuser/QwenSlerp2-14B).
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_hotmailuser__QwenSlerp2-14B", "lighteval_xstory_cloze_ar_0_2025_01_22T05_50_41_980749_parquet", split="train")
提供机构：
OALL
