---
license: mit
task_categories:
- text-classification
- zero-shot-classification
- sentence-similarity
language:
- en
tags:
- jobbert
- work-domain
- job-normalization
- dataset
size_categories:
- 10K<n<100K
---
# JobBERT evaluation dataset 💾


This is the official repository containing the evaluation data that was used for the [JobBERT paper](https://arxiv.org/abs/2109.09605). This dataset is a list of vacancy titles, each tagged with an <cite>[ESCO][1]</cite> (v1.0.5) occupation. 
The full dataset is split into two files in a stratified way by class distribution. This data was automatically collected from a large <cite>[governmental job board][2]</cite>.

[1]: https://ec.europa.eu/esco/portal/occupation
[2]: https://www.myfuturejobs.gov.my/

Access the JobBERT paper here: https://arxiv.org/abs/2109.09605

## BibTeX Citation

If you use this dataset in a scientific publication, we would appreciate using the following citation:

```
@inproceedings{8720079,
  author       = {{Decorte, Jens-Joris and Van Hautte, Jeroen and Demeester, Thomas and Develder, Chris}},
  booktitle    = {{FEAST, ECML-PKDD 2021 Workshop, Proceedings}},
  language     = {{eng}},
  location     = {{Online}},
  pages        = {{9}},
  title        = {{JobBERT : understanding job titles through skills}},
  url          = {{https://feast-ecmlpkdd.github.io/papers/FEAST2021_paper_6.pdf}},
  year         = {{2021}},
}
```