数字社工-智能问答语料库
收藏资源简介：
计算机存储方式：数据格式采用JSON，易读易编写且便于机器解析生成，适配社工问答类结构化数据存储。数据存储于统一库，满足智能问答模型训练与社工知识调用需求。 数据组织方式：以结构化对象形式组织，每条问答语料含多字段，各字段对应问答核心属性，通过结构化管理便于语料检索、模型训练与知识匹配。 字段名称、属性及主关键字段信息： 1）语料ID：字符串类型，唯一标识问答记录（主关键字段），无重复值； 2）问题分类：字符串类型，标记社工问题领域，示例“权益保障”“救助申请”； 3）问题文本：字符串类型，记录用户咨询内容，示例“低保申请需满足哪些条件？”； 4）答案文本：字符串类型，提供专业解答，含政策依据、流程说明等； 5）关联政策：字符串类型，标注依据文件，示例“《社会救助暂行办法》”； 6）更新时间：字符串类型，格式“YYYY-MM-DD”，记录语料维护时间。
Data Storage Method: The data format adopts JSON, which is easy to read and write, convenient for machine parsing and generation, and suitable for structured data storage of social work Q&A scenarios. The data is stored in a unified database, meeting the requirements of intelligent question answering model training and social work knowledge invocation. Data Organization Method: Organized in the form of structured objects. Each Q&A corpus contains multiple fields, each corresponding to the core attributes of the Q&A. Structured management facilitates corpus retrieval, model training and knowledge matching. Field Names, Attributes and Primary Key Information: 1) Corpus ID: String type, uniquely identifies Q&A records (primary key field) with no duplicate values; 2) Question Category: String type, marks the domain of social work questions, examples include "Rights Protection", "Assistance Application"; 3) Question Text: String type, records user consultation content, example: "What conditions must be met for minimum living security application?"; 4) Answer Text: String type, provides professional solutions, including policy basis, process descriptions, etc.; 5) Associated Policies: String type, marks referenced documents, example: "Interim Measures for Social Assistance"; 6) Update Time: String type, in the format "YYYY-MM-DD", records the maintenance time of the corpus.
