OALL/details_FreedomIntelligence__AceGPT-v2-70B-Chat

该数据集是在评估模型 [FreedomIntelligence/AceGPT-v2-70B-Chat](https://huggingface.co/FreedomIntelligence/AceGPT-v2-70B-Chat) 时自动创建的。数据集由 136 个配置组成，每个配置对应一个评估任务。数据集包含了不同任务和子任务的准确性和误差率详细信息，按社区和任务类型组织。数据集有不同运行的分片，train 分片始终指向最新的结果。还有一个额外的配置 results 存储了所有运行的聚合结果。可以使用 Python 的 datasets 库加载数据集，如示例所示。

Dataset automatically created during the evaluation run of model [FreedomIntelligence/AceGPT-v2-70B-Chat](https://huggingface.co/FreedomIntelligence/AceGPT-v2-70B-Chat). The dataset is composed of 136 configurations, each corresponding to one of the evaluated tasks. It includes details about the accuracy and error rates for various tasks and subtasks, organized by community and task type. The dataset is structured with different splits for each run, and the train split always points to the latest results. An additional configuration results stores all the aggregated results of the run. The dataset can be loaded using the datasets library in Python, as shown in the example provided.