English Resume Corpus

本研究构建的English Resume Corpus是一个用于测试预训练语言模型性能的英语简历数据集。该数据集由横滨国立大学创建，包含1000份简历，总计78000个句子。数据集的创建过程涉及对简历进行细致的分类标注，从原有的5个类别扩展到7个，以更精确地区分简历的各个部分。该数据集主要应用于AI简历筛选系统，旨在提高简历信息提取的准确性，从而显著降低人力资源的劳动成本。

The English Resume Corpus constructed in this study is an English resume dataset designed for testing the performance of pre-trained language models. Developed by Yokohama National University, this dataset contains 1,000 resumes with a total of 78,000 sentences. The dataset construction process involves detailed classification and annotation of resumes, expanding from the original 5 categories to 7 to more precisely distinguish various sections of resumes. This dataset is primarily applied to AI resume screening systems, aiming to improve the accuracy of resume information extraction and thereby significantly reduce the labor costs of human resources.

搜集汇总

背景与挑战

背景概述

English Resume Corpus是一个英语简历数据集，由横滨国立大学构建，包含1000份简历和78000个句子，用于测试预训练语言模型性能，并应用于AI简历筛选系统，以提高简历信息提取的准确性和降低人力资源成本。