OALL/details_JasperV13__Yehia-7B-DPO-Reasoning-preview_v2
收藏Hugging Face2025-05-29 更新2025-05-31 收录
下载链接：
https://hf-mirror.com/datasets/OALL/details_JasperV13__Yehia-7B-DPO-Reasoning-preview_v2
下载链接
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资源简介：
该数据集是在评估模型[JasperV13/Yehia-7B-DPO-Reasoning-preview](https://huggingface.co/JasperV13/Yehia-7B-DPO-Reasoning-preview)时自动创建的。数据集由116个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的。每次运行都可以在每个配置中作为一个特定的分割找到，分割使用运行的timestamp命名。train分割始终指向最新的结果。还有一个额外的配置results存储了所有运行的综合结果。要加载运行的详细信息，可以使用以下代码：python
from datasets import load_dataset
data = load_dataset("OALL/details_JasperV13__Yehia-7B-DPO-Reasoning-preview_v2", "results", split="train")
Dataset automatically created during the evaluation run of model [JasperV13/Yehia-7B-DPO-Reasoning-preview](https://huggingface.co/JasperV13/Yehia-7B-DPO-Reasoning-preview).
The dataset is composed of 116 configuration, each one corresponding to one of the evaluated task.
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.
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_JasperV13__Yehia-7B-DPO-Reasoning-preview_v2", "results", split="train")
提供机构：
OALL
