README.md

metadata

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 license.

Acknowledgments

We thank all annotators and contributors who worked on this corpus.