2026 Large Model Fine-Tuning Dataset for Intelligent Resume Scoring of IT Positions

It is a large-scale structured data set in Chinese. The content of the data set includes three parts: instruction is used to give the role setting and task requirements of a senior HR as constraints; The content of input is the resume content of the job seeker, which has been structured and written in the form of JSON in the dimensions of the job seeker's gender, age, years of experience, education, college level, professional category, on-the-job status, skills and certificates; The content of output is structured evaluation results, including comprehensive score, level judgment, advantages and disadvantages analysis, certificate gold content analysis, overall evaluation, etc.

This data set is suitable for various tasks such as structured information understanding, resume scoring, resume optimization and job matching. It provides data support in intelligent recruitment in the vertical field of it, and has far-reaching positive significance.