OALL/details_inceptionai__jais-adapted-7b-chat
收藏Hugging Face2025-01-29 更新2025-04-12 收录
下载链接：
https://hf-mirror.com/datasets/OALL/details_inceptionai__jais-adapted-7b-chat
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资源简介：
这是在评估模型 [inceptionai/jais-adapted-7b-chat](https://huggingface.co/inceptionai/jais-adapted-7b-chat) 运行过程中自动创建的数据集。数据集由 272 个配置组成，每个配置对应一个评估任务。数据集已从 2 次运行中创建。每次运行都可以在每个配置中作为特定的分割找到，分割名称使用运行的时间戳命名。"train" 分割始终指向最新的结果。还有一个额外的配置 "results" 存储所有运行的汇总结果。要加载运行详情，可以执行以下操作：
python
from datasets import load_dataset
data = load_dataset("OALL/details_inceptionai__jais-adapted-7b-chat", "lighteval_xstory_cloze_ar_0_2025_01_29T19_29_49_402107_parquet", split="train")
Dataset automatically created during the evaluation run of model [inceptionai/jais-adapted-7b-chat](https://huggingface.co/inceptionai/jais-adapted-7b-chat).
The dataset is composed of 272 configuration, each one corresponding to one of the evaluated task.
The dataset has been created from 2 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_inceptionai__jais-adapted-7b-chat", "lighteval_xstory_cloze_ar_0_2025_01_29T19_29_49_402107_parquet", split="train")
提供机构：
OALL
