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---
license: cc-by-4.0
language: ar
tags:
- named-entity-recognition
- arabic
- human-annotated
- iahlt
dataset_name: iahlt-ner-arabic
---
# IAHLT Named Entities Dataset (Arabic Subset)
**האיגוד הישראלי לטכנולוגיות שפת אנוש**
**الرابطة الإسرائيلية لتكنولوجيا اللغة البشرية**
**The Israeli Association of Human Language Technologies**
https://www.iahlt.org
This dataset contains named entity annotations for Arabic texts from various sources, curated as part of the IAHLT multilingual NER project. The Arabic portion is provided here as a cleaned subset intended for training and evaluation in named entity recognition tasks.
## Files Included
This release includes the following JSONL files:
- `iahlt_ner_train.jsonl`
- `iahlt_ner_val.jsonl`
- `iahlt_ner_test.jsonl`
Each file contains one JSON object per line with the following fields:
- `text`: the raw paragraph text
- `label`: a list of triples `[start, end, label]` where:
- `start` is the index of the first character of the entity
- `end` is the index of the first character after the entity
- `label` is the entity class (e.g., `PER`, `ORG`, etc.)
- `metadata`: a dictionary with source and annotation metadata
## Entity Types
The dataset includes the following entity types (summed across splits):
| Entity | Count |
|-----------|-------|
| GPE | 26,767 |
| PER | 22,694 |
| ORG | 19,906 |
| TIMEX | 10,288 |
| TTL | 10,075 |
| FAC | 4,740 |
| MISC | 7,087 |
| LOC | 5,389 |
| EVE | 2,595 |
| WOA | 1,781 |
| DUC | 1,715 |
| ANG | 732 |
| INFORMAL | 10 |
> Note: These statistics reflect a cleaned version of the dataset. Some entities and texts have been modified or removed for consistency and usability.
## Annotation Notes
- Entity spans were manually annotated at the grapheme level and then normalized using Arabic-specific punctuation and spacing rules.
- Nested spans are allowed.
- The dataset was cleaned to ensure compatibility with common NER training formats.
## License
This dataset is released under the [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) license.
## Acknowledgments
We thank all annotators and contributors who worked on this corpus.
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