bespokelabs/sft_data_nile_shreyas_sharegpt

该数据集是一个包含多个字段的复杂结构，每个字段有不同的数据类型。主要字段包括：索引、唯一标识符、示例索引、样本索引、提示信息、完成信息、环境状态、完成状态、开始时间、完成时间、管理者步骤索引、时间戳、难度级别、文件夹名称、文件列表、任务索引、真实答案、提示和对话信息。此外，数据集分为训练集，并提供了数据的大小和示例数量。数据集还包含默认配置信息。

The dataset is a complex structure with multiple fields, each with different data types. Main fields include: index, unique identifier, example index, sample index, prompt information, completion information, environment state, completion status, start time, completion time, curator step index, timestamp, difficulty level, folder name, file list, task index, ground truth, hints, and conversation information. Additionally, the dataset is split into a training set, and the size and number of examples are provided. The dataset also contains default configuration information.