OALL/details_TIGER-Lab__Qwen2.5-32B-Instruct-CFT_v2
收藏Hugging Face2025-03-07 更新2025-04-12 收录
下载链接：
https://hf-mirror.com/datasets/OALL/details_TIGER-Lab__Qwen2.5-32B-Instruct-CFT_v2
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资源简介：
这是在评估模型[TIGER-Lab/Qwen2.5-32B-Instruct-CFT](https://huggingface.co/TIGER-Lab/Qwen2.5-32B-Instruct-CFT)期间自动创建的数据集。数据集由116个配置组成，每个配置对应一个评估任务。数据集以运行的时间戳命名，train分割总是指向最新的结果。还有一个额外的配置results存储所有运行结果的聚合。可以使用datasets库在Python中加载数据集，如README中所示。
Dataset automatically created during the evaluation run of model [TIGER-Lab/Qwen2.5-32B-Instruct-CFT](https://huggingface.co/TIGER-Lab/Qwen2.5-32B-Instruct-CFT). 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 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_TIGER-Lab__Qwen2.5-32B-Instruct-CFT_v2", "results", split="train")
提供机构：
OALL
