分类分级效果评测系统的数据集

本数据集用于分类分级效果评测系统的功能测试；该数据集包含52个场景（包括地图导航类场景、网络约车类场景、即时通信类场景、网络社区类场景、网络支付类场景、网上购物类场景、餐饮外卖类场景、邮件快件寄递类场景、交通票务类场景、婚恋相亲类场景、求职招聘类场景、网络借贷类场景、房屋租售类场景、二手车交易类场景、问诊挂号类场景、旅游服务类场景、酒店服务类场景、网络游戏类场景、学习教育类场景等52个场景），涵盖16种类别，总计5000多万条数据，其中涉及到的个人信息，不涉及个人隐私，均为模拟生成的个人信息，模拟的信息均不是真是信息，并已经进行脱敏。测试数据集主要存储为SQL文件。数据集文件压缩后为3.2GB，压缩前约17GB，满足数据集上传数据量的要求。This dataset is intended for functional testing of classification and grading effect evaluation systems. It contains 52 scenarios, with examples including map navigation, online car-hailing, instant messaging, online community, online payment, online shopping, food delivery, mail and parcel delivery, transportation ticketing, marriage and dating, job recruitment, online lending, house rental and sales, used car trading, medical consultation and registration, tourism services, hotel services, online games, learning and education, and other scenarios. The dataset covers 16 categories and has a total of over 50 million data entries. All involved personal information is simulated and desensitized, which is not real personal information and does not involve personal privacy. The test dataset is mainly stored in SQL file format. The compressed size of the dataset files is 3.2 GB, while the uncompressed size is approximately 17 GB, which meets the data volume requirements for dataset uploads.

搜集汇总

背景与挑战

背景概述

该数据集专用于分类分级效果评测系统的功能测试，涵盖52个场景和16种类别，包含超过5000万条模拟生成的脱敏个人信息。数据以SQL文件形式存储，压缩后大小为3.2GB。