运维问答对数据集

数据采集规则：对原始问答内容进行去重、标准化处理，确保信息的一致性和可读性；对无效信息（如乱码、无意义字符）进行过滤，保留核心问题与解决方案。
数据加工处理方式：采用结构化分类法，将问答内容按 “场景 - 事件描述 - 回复内容” 三维度拆解，形成结构化表格，便于按数据表名称、问题类型等维度检索；对涉及多个数据表的关联问题，通过交叉标注建立关联索引，提升信息的关联性。

Data Collection Rules: Deduplicate and standardize the original Q&A content to ensure information consistency and readability; filter out invalid information such as garbled codes and meaningless characters, and retain core questions and solution contents. Data Processing Methods: Adopt a structured classification framework to decompose Q&A content into three dimensions: scenario, event description, and reply content, thereby generating structured tables that support retrieval based on dimensions such as data table names and question types; for associated questions involving multiple data tables, establish association indexes via cross-labeling to enhance information relevance.