Synthetic English Resumes Datapack

This datapack contains a collection of synthetically generated resumes in English, offering a rich resource for training machine learning models focused on document classification, information extraction, and resume parsing. Created in a fully controlled 3D environment, each resume varies in formatting, structure, and layout, simulating real-world conditions such as variable fonts, margins, and document degradation like folds and light exposure. The dataset includes precise field-level annotations, enabling robust training for models designed to extract key information such as names, job titles, dates, and education details. It is an excellent tool for developers building automated HR and recruitment software. This datapack includes three tables: ANNOTATION_VIEW, IMAGE_VIEW, and ZIP_VIEW.<br/>**ANNOTATION_VIEW** contains information for each annotation field including the name of the field, the text within the field, 4 corner coordinates of the field in clockwise order, and the name of the image this annotation belongs to.<br/>**IMAGE_VIEW** contains information for each image including its name, its size, its URL, and the coordinates of the document corners in the image.<br/>**ZIP_VIEW** contains the URL to download the zip file containing all images and annotations in the format of Mindtech, ICDAR2015 and Wildreceipt.<br/>Please contact Mindtech for the full datapack.

搜集汇总

背景与挑战

背景概述

该数据集是一个合成生成的英文简历集合，专为训练文档分类、信息提取和简历解析的机器学习模型而设计。它通过模拟真实世界的格式变化和文档退化情况，提供精确的字段级注释，适用于自动化HR和招聘软件的开发。数据集包含三个视图表，分别涵盖注释、图像和压缩文件信息。