2025 Large Model Fine-Tuning Dataset for Multidimensional Intelligent Scoring of Resumes

This dataset is a large-scale text dataset for resume intelligent analysis and automatic scoring tasks for job seekers and recruiters, aiming to support the fine-tuning and application of large language models in talent assessment, job matching and recruitment automation scenarios. The dataset contains detailed information of Chinese job-seeker resumes, covering key fields such as age, gender, years of work experience, education, graduation institution, majors studied, and self-introduction, and is suitable for a variety of tasks such as natural language processing (NLP), information extraction, semantic understanding, and scoring prediction.