license: cc-by-4.0
language:
- en
tags:
- labor_market
- ESCO
- Job_transition
size_categories:
- 1M<n<10M
This is a large-scale public dataset of job experiences derived from more than 360,000 anonymized resumes provided by VDAB, the public employment service in Flanders, Belgium.
📝 Dataset Description
This dataset was created using approximately 360,000 resumes. Information was extracted using a small language model (LLM), and each job experience was then mapped to the corresponding ESCO code using a proprietary tool provided by Nobl.ai.
The dataset includes the following fields:
person_id: An identifier indicating which résumé the row belongs to
esco_code: The matched ESCO code corresponding to the extracted experience
start_date, end_date: Dates related to the job experience
university_degree: A flag indicating whether the individual has a university degree
For more detailed information about how this dataset was created, please visit our paper.
Important remark: On July 2nd, we uploaded a cleaned version of the data. The process of cleaning the data will be documented in the paper on arXiv. It primarily involves changing tags of ambiguous job titles to 'unknown' and removing some rows.
📜 Citation
To cite this dataset in academic work, please use the following BibTeX entry:
@misc{
johary2025jobhoplargescaledatasetcareer,
title={JobHop: A Large-Scale Dataset of Career Trajectories},
author={Iman Johary and Raphael Romero and Alexandru C. Mara and Tijl De Bie},
year={2025},
eprint={2505.07653},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2505.07653},
}
✍️ Authors
- Curated by: Iman Johary, Raphael Romero, Alexandru-Cristian Mara, Tijl De Bie
- Funded by: BOF of Ghent University (BOF20/IBF/117), Flemish Government (AI Research Program), FWO (11J2322N, G0F9816N, 3G042220, G073924N), ERC grant (VIGILIA, 101142229)
- License: CC BY 4.0
📧 Contact info
corresponding author: [email protected]