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Job offers classifiers for ISCO and KZiS 2024 and 2026

Version 3.0

Beręsewicz, Maciej; Wydmuch, Marek; Pater, Robert; Cherniaiev, Herman, 2024, "Job offers classifiers for ISCO and KZiS 2024 and 2026", https://doi.org/10.18150/OCUTSI, RepOD, V3

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Description

Update: V2+ contains new weights for the new classification (2026).

V1: Repository contains models used in the paper: Beręsewicz, M., Wydmuch, M., Cherniaiev, H., & Pater, R. (2026). Multilingual Hierarchical Classification of Job Advertisements for Job Vacancy Statistics. Journal of Official Statistics, 42(1), 23–61. https://doi.org/10.1177/0282423X251395400

How to use: https://github.com/OJALAB/paper-job-ads-classifier

Models used in the paper (2024)

Linear models:

  • linear-bottom-2024.zip (136.2 MB)
  • linear-top-2024.zip (138.4 MB)

Transformer models based on Polish data (trained with HerBERT-base and HerBERT-large):

  • transformer-bottom-base-2024.zip (1.6 GB)
  • transformer-bottom-large-2024.tar.gz (split into .partaa and .partab; 4.8 GB in total)
  • transformer-top-base-2024.zip (1.6 GB)
  • transformer-top-large-2024.tar.gz (split into .partaa and .partab; 4.8 GB in total)

Transformer models based on Polish data (trained with xlm-RoBERTa-base and xlm-RoBERTa-large):

  • transformer-bottom-base-rob-2024.zip (2.3 GB)
  • transformer-bottom-large-rob-2024.tar.gz (split into .partaa and .partab; 5.7 GB in total)
  • transformer-top-base-rob-2024.zip (2.3 GB)
  • transformer-top-large-rob-2024.tar.gz (split into .partaa and .partab; 5.7 GB in total)

Transformer models based on multilingual data (Polish and English; trained with xlm-RoBERTa-base only):

  • transformer-bottom-rob-2024-argos.zip (2.4 GB): dataset translated with Argos
  • transformer-bottom-rob-2024-google.zip (2.4 GB): dataset translated with Google Translate
  • transformer-top-rob-2024-argos.zip (2.4 GB): dataset translated with Argos
  • transformer-top-rob-2024-google.zip (2.4 GB): dataset translated with Google Translate

Transformer models based on multilingual data (24 languages; trained with xlm-RoBERTa-base only):

  • transformer-multi-bottom-2024.zip (2.8 GB)
  • transformer-multi-top-2024.zip (2.0 GB)

Excel file with information about the quality of classifications:

  • models-accuracy.xlsx (368.2 KB)

Models for the new classification (2026)

Transformer models based on Polish data (trained with HerBERT-base and ModernBERT-base):

  • transformer-bottom-base-her-2026.zip (4.1 GB) [new in V3]
  • transformer-top-base-her-2026.zip (4.1 GB) [new in V3]
  • transformer-bottom-base-mod-2026.zip (split into .zip_partaa and .zip_partab; 5.0 GB in total)
  • transformer-top-base-mod-2026.zip (split into .zip_partaa and .zip_partab; 5.0 GB in total)


Transformer models based on multilingual data (Polish and English, dataset translated with Google Translate; trained with xlm-RoBERTa-base and [MM]):

  • transformer-bottom-rob-2026-google.zip (split into .zip_partaa and .zip_partab; 5.4 GB in total)
  • transformer-top-rob-2026-google.zip (split into .zip_partaa and .zip_partab; 5.4 GB in total)
  • transformer-bottom-mm-2026-google.zip (split into .zip_partaa and .zip_partab; 7.4 GB in total)
  • transformer-top-mm-2026-google.zip (split into .zip_partaa and .zip_partab; 7.4 GB in total)

Excel file with information about the quality of classifications (test data only):

  • models-accuracy-2026-test-data-only.xlsx (16.0 KB)

Reassembling split archives

Download all parts into one directory, concatenate them, then extract:

cat transformer-top-large-2024.tar.gz.part* > transformer-top-large-2024.tar.gz

tar -xzf transformer-top-large-2024.tar.gz

cat transformer-top-base-mod-2026.zip_part* > transformer-top-base-mod-2026.zip

unzip transformer-top-base-mod-2026.zip

On Windows: copy /b file.zip_partaa + file.zip_partab file.zip

(2026)
Subject
Computer and Information Science; Social Sciences
Keyword

online job vacancies, transformers, BERT, HerBERT, xlm-RoBERTa

Related Publication

Beręsewicz, M., Wydmuch, M., Cherniaiev, H., & Pater, R. (2026). Multilingual Hierarchical Classification of Job Advertisements for Job Vacancy Statistics. Journal of Official Statistics, 42(1), 23-61. https://doi.org/10.1177/0282423X251395400 https://doi.org/10.1177/0282423X251395400 doi: 10.1177/0282423X251395400

MIT License MIT License

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linear-bottom-2024.zip
ZIP Archive - 136.2 MB - Nov 4, 2024 - 15 Downloads
MD5: dc101c4d2411446c2d63e49bef78b66c
License: MIT License
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linear-top-2024.zip
ZIP Archive - 138.4 MB - Nov 4, 2024 - 8 Downloads
MD5: 76af618e032ead094d2501fabc4d1958
License: MIT License
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transformer-bottom-base-2024.zip
ZIP Archive - 1.6 GB - Nov 4, 2024 - 24 Downloads
MD5: 1677a4e5395effae7dc7f005fd7f35ed
License: MIT License
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transformer-bottom-base-rob-2024.zip
ZIP Archive - 2.3 GB - Nov 4, 2024 - 3 Downloads
MD5: 60b39b746167fae1d81b7ed33de5eab7
License: MIT License
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transformer-top-base-2024.zip
ZIP Archive - 1.6 GB - Nov 4, 2024 - 11 Downloads
MD5: 8180072ac591156cf7dea7551e57b4ba
License: MIT License
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transformer-top-base-rob-2024.zip
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MD5: 9a6074619016de597687a1f247fe974d
License: MIT License
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transformer-bottom-large-2024.tar.gz.partaa
Unknown - 3.7 GB - Nov 4, 2024 - 4 Downloads
MD5: f47b2cd66dd1420a806cb412a6e7cf58
License: MIT License
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transformer-bottom-large-2024.tar.gz.partab
Unknown - 1.1 GB - Nov 4, 2024 - 3 Downloads
MD5: 55f31621aac82c2aa108328fec3f9917
License: MIT License
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transformer-bottom-large-rob-2024.tar.gz.partaa
Unknown - 3.7 GB - Nov 4, 2024 - 1 Download
MD5: 1b0d8b7a726c0a4a28b957b1247bbaeb
License: MIT License
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transformer-bottom-large-rob-2024.tar.gz.partab
Unknown - 2.0 GB - Nov 4, 2024 - 5 Downloads
MD5: bd867308bd6cd2b29469e33ee6a22a02
License: MIT License
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