Datasetpublic

drelhaj/ArabJobs

ArabJobs: A Multinational Corpus of Arabic Job Advertisements 📖 Overview ArabJobs is the first publicly available, multinational corpus of Arabic job advertisements, collected fromEgypt, 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… See the full description on the dataset page: https://huggingface.co/datasets/drelhaj/ArabJobs.

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Dataset Card

ArabJobs: A Multinational Corpus of Arabic Job Advertisements

![Paper](https://arxiv.org/pdf/2509.22589) ![License: CC BY 4.0](#license)

📖 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

📑 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, 9–10 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} }

📁 Dataset Structure

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

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

All text is encoded in UTF-8 Arabic.

📊 Visualisations

Gendered Job Advertisements (Word Clouds)

Job Ads by Country

Dialectal Variation

🧪 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
مدير مكتب فنى (اثاث ) (فنون تطبيقيه ) - 15 مايو - القاهرة	15 مايو - القاهرة	15000 - 25000 جنيه مصري	هندسة عمارة وديكور	مطلوب مدير مكتب فنى خبرة لا تقل عن 7 سنوات…	neutral	Egypt	20000	640	إعلام وتصميم	تصميم
وظيفة أخصائي مواقع إلكترونية	الرياض	4,000/شهرياً	أخصائي مواقع إلكترونية	يعلن صندوق اسرة الخضير عن حاجته لموظف/أو موظفة…	female	Saudi Arabia	4000	1080	تكنولوجيا المعلومات	تكنولوجيا المعلومات
معلم عربي شاورما عدد 2	الزرقاء الجديدة	—	فندقة ومطاعم، معلم شاورما	مطلوب لدى مطاعم ابو يونس الزرقاء الجديدة…	male	Jordan	420	592.2	سياحة ومطاعم	فندقة ومطاعم
وظائف حسابات في إمارة الشارقة الإمارات	Sharjah	3000 درهم	حسابات	وظيفة شاغرة - موظفة حسابات…	neutral	UAE	3000	810	مالية ومحاسبة	مالية ومحاسبة

🔏 License

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

🤝 Contributions

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

👉 https://github.com/drelhaj/ArabJobs