200,000 MSA sentences for named entity recognition
Bayanat Labs (Riyadh) licenses 200,000 annotated Modern Standard Arabic sentences for named entity recognition. Review the entity labels and span conventions to see how they fit your extraction system.
اقرأ هذه العائلة بالعربيةWhat this dataset is for
For teams building Arabic entity extraction into search, document processing, or language-understanding systems.
Commercial license; permitted training use and delivery scope agreed in the license.
What’s included
- 200,000 Modern Standard Arabic sentences
- Annotations for named entity recognition
- A commercial license for the agreed use
What Bayanat Labs adds
- One supplier: license this collection from Bayanat Labs (Riyadh), then add custom collection, annotation, RLHF or evaluation from the same team, across nine product families.
- A team of 50,000+ expert annotators, the largest in the Middle East, including vetted native speakers, linguists and licensed domain professionals across 25+ Arabic varieties, calibrated against gold standards with adjudication and an audit trail.
- In-region hosting by default, with on-prem and private-cloud options. We build no models, so we never compete with yours.
- Methods in the open: LabelBench, the Arabic Agent Reliability Lab (methods beta) and our free datasets and tools.
Technical specification: source, format, coverage, limitations & license
Bayanat Labs licenses 200,000 Modern Standard Arabic sentences with named entity annotations.
- Source
- Annotated MSA text; source details available on request.
- Record format / annotation
- Named entity annotations on Modern Standard Arabic sentences; label taxonomy, span rules, tokenization and annotation review process on request.
- Collection year
- On request
- Coverage period
- On request
- Language / dialect
- Modern Standard Arabic
- Quantity
- 200,000 sentences
- Known limitations
- Modern Standard Arabic; for dialectal or mixed Arabic-English text, discuss a custom annotation or collection request. Training data, not an independent test set. Split boundaries on request.
- License type
- Commercial license; permitted training use and delivery scope agreed in the license.
- Refresh cadence
- Version and update terms on request
- Training task
- Named entity recognition and entity extraction
- Last updated
- 2 November 2026
What to check in your sample
- Entity types, span rules, and tokenization
- Text sources and annotation review process
- Export format and training/evaluation split boundaries
We’ll send the available sample, specifications and licence wording for this collection so your team can check the fit before licensing. Need it annotated, extended or evaluated on your model? We scope a fixed-scope pilot with gold-standard QA and a quality report, usually within two weeks.
Common questions
Is this dataset Modern Standard Arabic or dialectal Arabic?
It is Modern Standard Arabic. If your system needs regional dialects or mixed Arabic-English text, discuss that coverage as a separate custom annotation request.
Which entity labels and annotation format are used?
The label taxonomy and export format are available on request. Check the sample for entity types, nested or overlapping spans, and tokenization before mapping it to your model.