azraksahin/resumes

该数据集是一个合并了真实简历和合成简历的集合，以JSON格式存储，用于技术招聘领域的NLP模型开发。数据集包含个人信息、工作经验、教育背景、技能和项目等关键部分。真实简历来自各种CV提交，经过归一化处理；合成简历使用Faker库生成，模拟真实简历结构和内容。数据集旨在为简历解析和候选人-职位匹配提供丰富多样的示例。

This dataset is a combined collection of real resumes and synthetically generated CVs. The resumes have been normalized to a common schema to facilitate the development of NLP models for candidate-job matching in the technical recruitment domain. Real resumes are collected and normalized from various CV submissions, while synthetic resumes are generated using custom Python scripts leveraging Faker, with role-specific constraints. The dataset provides a rich, diverse set of examples crucial for training robust NLP models for resume parsing and candidate-job matching.