TAUR-dev/OTQ7BI_sft_openthoughts_0_end100000_chunk_18

该数据集包含对话信息，每个对话包括发送者、消息内容等；还包括问题、来源、唯一标识ID、提示内容、答案和提示类型等字段。此外，数据集中还包含模型响应的示例注释和元数据信息，如API URL、后端信息、是否应用了聊天模板、生成参数（包括最大令牌数、响应数量、重复惩罚、温度、top_k和top_p等）、模型名称、提示内容和角色等。训练集包含40000个示例，数据集大小为802,102,201字节。

The dataset contains conversation information, including sender, message content, questions, sources, unique IDs, prompt content, answers, and prompt types. It also includes example annotations and metadata for model responses, such as API URL, backend information, whether a chat template was applied, generation parameters (including max tokens, number of responses, repetition penalty, temperature, top_k, and top_p), model name, prompt content, and role. The training set contains 40,000 examples, and the dataset size is 802,102,201 bytes.