saumyamalik/toolu-sft-mix-T2-S2-f2-filtered

该数据集包含对话信息，每个对话有多个字段，如对话ID、来源、消息内容、功能调用、函数、角色、步骤数、对话轮数、执行类型等。数据集还包含了是否拒绝、是否可解析、函数是否在API中、参数数量是否正确、参数名称是否正确、代码是否正确等布尔字段。数据集分为训练集，提供了每个划分的大小和示例数量，以及整个数据集的大小和下载大小。

The dataset contains conversation information, with each conversation having multiple fields such as conversation ID, source, message content, function calls, functions, role, number of steps, number of turns, execution type, etc. The dataset also includes boolean fields such as whether there is a refusal, whether it is parseable, whether the function is in the API, whether the number of arguments is correct, whether the argument names are correct, and whether the code is correct. The dataset is split into a training set, with the size and number of examples for each split, as well as the total size and download size of the entire dataset.