rahular/sft-pipeline-stage3

该数据集是一个大规模对话数据集，包含14,879,293个训练样本，总大小约为35.8GB。每个样本由prompt_id（唯一标识符）、messages（消息列表，每条消息包含角色和内容字段）和response（响应内容）组成。数据集主要用于训练或微调对话生成模型，支持自然语言处理任务，如聊天机器人开发或对话系统研究。

This dataset is a large-scale dialogue dataset containing 14,879,293 training samples with a total size of approximately 35.8GB. Each sample consists of prompt_id (a unique identifier), messages (a list of messages, each with role and content fields), and response (response content). The dataset is primarily used for training or fine-tuning dialogue generation models, supporting natural language processing tasks such as chatbot development or dialogue system research.