金融交易主体风险画像仿真数据集

金融交易主体风险画像仿真数据集主要面向金融交易主体特征标签智能构建研究，基于金融交易主体风险画像系统单元测试需求生成，用于辅助画像系统的开发过程。数据主要包括1000个用户画像和1000个商户画像数据，每个用户生成1~3张银行卡，涵盖赌博违规、伪冒注册、异常转账、黄牛营销、团伙套现和商户违规6个场景的标签数据，以月维度生成2024年1月到12月共12个月的标签值，覆盖布尔型、整型和浮点型三种类型数据，数据量263MB。The Simulated Risk Profiling Dataset for Financial Transaction Entities is primarily intended for research on the intelligent construction of feature tags for financial transaction entities. It is generated based on the unit testing requirements of the risk profiling system for financial transaction entities, and serves to assist the development of such profiling systems. The dataset mainly contains data from 1000 user profiles and 1000 merchant profiles. Each user is associated with 1 to 3 bank cards, and includes tag data covering 6 scenarios: illegal gambling, fraudulent registration, abnormal fund transfer, scalper marketing, organized cash-out, and merchant regulatory violations. Monthly tag values are generated across 12 months from January to December 2024, encompassing three data types: boolean, integer, and floating-point. The total data volume of the dataset is 263 MB.

搜集汇总

背景与挑战

背景概述

该数据集专为金融交易主体风险画像系统的开发与测试设计，包含用户和商户各1000个画像，覆盖赌博违规、伪冒注册等六个典型风险场景的标签数据。数据以月维度生成2024年全年的标签值，涉及布尔型、整型和浮点型数据类型，总数据量约为263MB。