ArabJobs / README.md
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metadata
language: ar
license: cc-by-4.0
tags:
  - arabic
  - jobs
  - recruitment
  - gender
  - sociolinguistics
  - labour-market
task_categories:
  - text-classification
  - summarization
  - question-answering
  - token-classification
size_categories:
  - 5K<n<10K
pretty_name: 'ArabJobs: A Multinational Corpus of Arabic Job Advertisements'
dataset_info:
  features:
    - name: job_title
      dtype: string
      description: Job title as written in the advertisement.
    - name: location
      dtype: string
      description: City or region where the job is located.
    - name: salary
      dtype: string
      description: Raw salary text exactly as written in the job post.
    - name: profession
      dtype: string
      description: Derived profession label inferred from job description.
    - name: description
      dtype: string
      description: Full job description text.
    - name: gender
      dtype: string
      description: Gender signals extracted from linguistic markers (male/female/neutral).
    - name: country
      dtype: string
      description: >-
        Country from which the job post originates (Egypt, Jordan, Saudi Arabia,
        UAE).
    - name: salary_local
      dtype: float32
      description: Salary normalised into local currency.
    - name: salary_usd
      dtype: float32
      description: Salary converted into USD.
    - name: job_category
      dtype: string
      description: High-level job category (e.g. IT, Finance, Education).
    - name: sub_category
      dtype: string
      description: More specific category inside the main job category.
  splits:
    - name: train
    - name: validation
    - name: test

ArabJobs: A Multinational Corpus of Arabic Job Advertisements

Paper License: CC BY 4.0


๐Ÿ“– Overview

ArabJobs is the first publicly available, multinational corpus of Arabic job advertisements, collected from
Egypt, Jordan, Saudi Arabia, and the UAE.

It contains:

  • 8,546 job postings
  • 550,000+ words
  • Coverage across numerous sectors and dialects
  • Rich metadata including salary, profession, gender indicators, and job categories

This dataset supports research on:

  • Fairness-aware Arabic NLP
  • Gender representation and bias in recruitment language
  • Dialectal variation and code-switching
  • Salary estimation and profession classification
  • Labour market discourse across Arab countries

๐Ÿ“‘ Citation

If you use ArabJobs, please cite:

El-Haj, M. (2025). ArabJobs: A Multinational Corpus of Arabic Job Ads.
Proceedings of the 3rd ArabicNLP Conference, EMNLP, Suzhou, China, 9โ€“10 November 2025.

BibTeX

@inproceedings{elhaj2025arabjobs,
  title={ArabJobs: A Multinational Corpus of Arabic Job Ads},
  author={El-Haj, Mo},
  booktitle={Proceedings of the ArabicNLP Workshop, EMNLP},
  year={2025},
  address={Suzhou, China},
  month={November}
}

๐Ÿ“ Dataset Structure

Each row in the dataset corresponds to a single job advertisement with the following key fields:

  • job_title โ€” the job title in Arabic
  • description โ€” full job description text
  • country โ€” country of posting
  • location โ€” city or region
  • salary โ€” raw salary text
  • salary_local, salary_usd โ€” normalised salary
  • profession โ€” derived profession label
  • gender โ€” male, female, or neutral (when detectable)
  • job_category, sub_category โ€” hierarchical job categories

All text is encoded in UTF-8 Arabic.


๐Ÿ“Š Visualisations

Gendered Job Advertisements (Word Clouds)


Job Ads by Country


Dialectal Variation


๐Ÿงช Example Records

Here are sample entries from the dataset:

job_title location salary profession description gender country salary_local salary_usd job_category sub_category
ู…ุฏูŠุฑ ู…ูƒุชุจ ูู†ู‰ (ุงุซุงุซ ) (ูู†ูˆู† ุชุทุจูŠู‚ูŠู‡ ) - 15 ู…ุงูŠูˆ - ุงู„ู‚ุงู‡ุฑุฉ 15 ู…ุงูŠูˆ - ุงู„ู‚ุงู‡ุฑุฉ 15000 - 25000 ุฌู†ูŠู‡ ู…ุตุฑูŠ ู‡ู†ุฏุณุฉ ุนู…ุงุฑุฉ ูˆุฏูŠูƒูˆุฑ ู…ุทู„ูˆุจ ู…ุฏูŠุฑ ู…ูƒุชุจ ูู†ู‰ ุฎุจุฑุฉ ู„ุง ุชู‚ู„ ุนู† 7 ุณู†ูˆุงุชโ€ฆ neutral Egypt 20000 640 ุฅุนู„ุงู… ูˆุชุตู…ูŠู… ุชุตู…ูŠู…
ูˆุธูŠูุฉ ุฃุฎุตุงุฆูŠ ู…ูˆุงู‚ุน ุฅู„ูƒุชุฑูˆู†ูŠุฉ ุงู„ุฑูŠุงุถ 4,000/ุดู‡ุฑูŠุงู‹ ุฃุฎุตุงุฆูŠ ู…ูˆุงู‚ุน ุฅู„ูƒุชุฑูˆู†ูŠุฉ ูŠุนู„ู† ุตู†ุฏูˆู‚ ุงุณุฑุฉ ุงู„ุฎุถูŠุฑ ุนู† ุญุงุฌุชู‡ ู„ู…ูˆุธู/ุฃูˆ ู…ูˆุธูุฉโ€ฆ female Saudi Arabia 4000 1080 ุชูƒู†ูˆู„ูˆุฌูŠุง ุงู„ู…ุนู„ูˆู…ุงุช ุชูƒู†ูˆู„ูˆุฌูŠุง ุงู„ู…ุนู„ูˆู…ุงุช
ู…ุนู„ู… ุนุฑุจูŠ ุดุงูˆุฑู…ุง ุนุฏุฏ 2 ุงู„ุฒุฑู‚ุงุก ุงู„ุฌุฏูŠุฏุฉ โ€” ูู†ุฏู‚ุฉ ูˆู…ุทุงุนู…ุŒ ู…ุนู„ู… ุดุงูˆุฑู…ุง ู…ุทู„ูˆุจ ู„ุฏู‰ ู…ุทุงุนู… ุงุจูˆ ูŠูˆู†ุณ ุงู„ุฒุฑู‚ุงุก ุงู„ุฌุฏูŠุฏุฉโ€ฆ male Jordan 420 592.2 ุณูŠุงุญุฉ ูˆู…ุทุงุนู… ูู†ุฏู‚ุฉ ูˆู…ุทุงุนู…
ูˆุธุงุฆู ุญุณุงุจุงุช ููŠ ุฅู…ุงุฑุฉ ุงู„ุดุงุฑู‚ุฉ ุงู„ุฅู…ุงุฑุงุช Sharjah 3000 ุฏุฑู‡ู… ุญุณุงุจุงุช ูˆุธูŠูุฉ ุดุงุบุฑุฉ - ู…ูˆุธูุฉ ุญุณุงุจุงุชโ€ฆ neutral UAE 3000 810 ู…ุงู„ูŠุฉ ูˆู…ุญุงุณุจุฉ ู…ุงู„ูŠุฉ ูˆู…ุญุงุณุจุฉ

๐Ÿ” License

This dataset is released under the CC BY 4.0 License, allowing research and academic use with appropriate attribution.


๐Ÿค Contributions

Feedback and contributions are welcome.
Please open an issue or pull request on the GitHub repository:

๐Ÿ‘‰ https://github.com/drelhaj/ArabJobs