kenwaylabs/OpenHermes-2.5-CoT

该数据集包含了多种类型的特征，如自定义指令、主题、模型名称、是否跳过提示格式化、类别、对话、浏览量、语言、ID、标题等。这些特征的数据类型包括整数、布尔值、字符串和浮点数。数据集分为训练集，共有225,000个示例，总大小为2,795,451,691字节。提供了一个默认配置，用于指定训练数据的文件路径。

The dataset includes various features such as custom instructions, topics, model names, whether to skip prompt formatting, categories, conversations, views, languages, IDs, titles, etc. The data types of these features include integers, booleans, strings, and floating-point numbers. The dataset is split into a training set with a total of 225,000 examples and a size of 2,795,451,691 bytes. A default configuration is provided to specify the file path for the training data.