分类分级工具集数据集

本数据集用于分类分级工具与知识图谱库的功能和性能测试；该数据集包含52个场景（包括安防监控类场景，安全管理类场景，本地生活类场景，餐饮外卖类场景，宠物照顾类场景，地图导航类场景，电话有线电视入网类场景，电信业务使用类场景，电子图书类场景，短视频类场景，二手车交易类场景，房屋租售类场景，婚恋相亲类场景，即时通信类场景，家庭维修类场景等52个），涵盖15种类别，包括90个属性，总计5400万个人信息数据（本数据集中source_data.sql中包含数据表结构及5400万条数据信息，52个场景所有的属性进行去重处理得到90个属性，将这些属性设置到分类模板所配置的15个类别中），个人数据不涉及个人隐私，个人信息数据均采用模拟的方式生成，均进行脱敏操作。其中，90个属性依据预先定义的分类模板设置为15个类别。数据集压缩前7.78GB，满足数据集上传数据量大小的要求，压缩后184MB。This dataset is designed for functional and performance testing of classification and grading tools and knowledge graph repositories. It encompasses 52 scenarios, including security monitoring, safety management, local life services, food delivery, pet care, map navigation, cable TV and telephone network access, telecom service usage, e-books, short videos, second-hand car trading, housing rental and sales, matchmaking, instant messaging, home maintenance and other 52 scenarios, covering 15 categories and 90 attributes, with a total of 54 million pieces of simulated personal information data. The source_data.sql file contains the data table structure and all 54 million data entries; the attributes from all 52 scenarios are deduplicated to yield 90 unique attributes, which are mapped to the 15 categories configured in the pre-defined classification template. None of the personal data involves sensitive personal privacy; all personal information is generated via simulation and has undergone desensitization processing. The uncompressed size of the dataset is 7.78 GB, which complies with the data volume requirements for dataset uploads, while the compressed size is 184 MB.

搜集汇总

背景与挑战

背景概述

该数据集用于分类分级工具和知识图谱库的功能与性能测试，包含52个场景、15个类别、90个属性，总计5400万条模拟生成的脱敏个人信息数据。数据压缩前为7.78GB，压缩后为184MB，满足数据集上传要求。