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--- |
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license: mit |
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task_categories: |
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- text-classification |
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- zero-shot-classification |
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- sentence-similarity |
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language: |
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- en |
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tags: |
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- jobbert |
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- work-domain |
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- job-normalization |
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- dataset |
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size_categories: |
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- 10K<n<100K |
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--- |
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# JobBERT evaluation dataset 💾 |
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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. |
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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>. |
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[1]: https://ec.europa.eu/esco/portal/occupation |
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[2]: https://www.myfuturejobs.gov.my/ |
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Access the JobBERT paper here: https://arxiv.org/abs/2109.09605 |
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## BibTeX Citation |
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If you use this dataset in a scientific publication, we would appreciate using the following citation: |
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``` |
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@inproceedings{8720079, |
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author = {{Decorte, Jens-Joris and Van Hautte, Jeroen and Demeester, Thomas and Develder, Chris}}, |
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booktitle = {{FEAST, ECML-PKDD 2021 Workshop, Proceedings}}, |
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language = {{eng}}, |
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location = {{Online}}, |
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pages = {{9}}, |
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title = {{JobBERT : understanding job titles through skills}}, |
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url = {{https://feast-ecmlpkdd.github.io/papers/FEAST2021_paper_6.pdf}}, |
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year = {{2021}}, |
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} |
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``` |
