TechWolf/anonymous-working-histories

--- license: cc-by-4.0 task_categories: - text-classification language: - en tags: - Career Path Prediction pretty_name: Synthetic ESCO skill sentences size_categories: - 1K<n<10K --- # Structured Anonymous Career Paths extracted from Resumes ## Dataset Description - **Homepage:** coming soon - **Repository:** coming soon - **Paper:** coming soon - **Point of Contact:** [e-mail] ### Dataset Summary This dataset contains 2164 anonymous career paths across 24 differend industries. Each work experience is tagger with their corresponding ESCO occupation (ESCO v1.1.1). ### Languages We use the English version of ESCO. All resume data is in English as well. ## Dataset Structure Each working history contains up to 17 experiences. They appear in order, and each experience has a title, description, start, and, ESCO uri and ESCO title field. ### Citation Information If you use this dataset, please include the following reference: ``` @inproceedings{01HDNKPEV7JPTEYPGMWQTXY6T4, articleno = {{1}}, author = {{Decorte, Jens-Joris and Van Hautte, Jeroen and Deleu, Johannes and Develder, Chris and Demeester, Thomas}}, booktitle = {{RECSYS in HR 2023 : the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023), Proceedings}}, editor = {{Kaya, Mesut and Bogers, Toine and Graus, David and Johnson, Chris and Decorte, Jens-Joris}}, issn = {{1613-0073}}, language = {{eng}}, location = {{Singapore, Singapore}}, pages = {{9}}, publisher = {{CEUR}}, title = {{Career path prediction using resume representation learning and skill-based matching}}, url = {{https://ceur-ws.org/Vol-3490/RecSysHR2023-paper_1.pdf}}, volume = {{3490}}, year = {{2023}}, } ```

搜集汇总

背景与挑战

背景概述

该数据集包含2164个匿名职业路径，覆盖24个不同行业，每个工作经历都标注了对应的ESCO职业分类（英语版本），适用于职业路径预测任务。数据以CSV格式提供，规模为1K-10K行，主要用于文本分类任务。