kimberly-thaki/interview-evaluation-80-eval-balanced

该数据集包含面试对话记录及其相关元数据。对话记录包括参与者（from）和对话内容（value）。元数据涵盖候选人姓名、最终决定、生成时间、生成方法、评分、面试脚本长度、职位名称、职位发布名称、模型名称、话语数量、各项得分（文化、经验、知识、个性）、温度设置和总分等信息。数据集适用于分析面试对话和评估候选人表现。

This dataset contains interview conversation records and their associated metadata. The conversation records include participants (from) and dialogue content (value). Metadata covers candidate name, final decision, generation time, generation method, grade, interview script length, job position, job posting name, model name, number of utterances, scores in various categories (culture, experience, knowledge, personality), temperature setting, and total score. The dataset is suitable for analyzing interview dialogues and evaluating candidate performance.