license: mit
task_categories:
- token-classification
language:
- ar
tags:
- Sinalab
- Wojood
- ArabicNER
a snapshot from https://huggingface.co/datasets/AhmedNabil1/wojood-arabic-ner
Wojood Arabic NER (Sample, Processed)
This dataset is a processed version of the sample from the Wojood Arabic NER dataset, developed by SinaLab.
The original dataset is licensed under the MIT License, and this processed sample is shared under the same terms.
⚠️ Note: This is not the full Wojood corpus. The full dataset must be requested directly from the original authors (Prof. Mustafa Jarrar and team).
Dataset
- Language: Arabic
- Task: Named Entity Recognition (NER)
- Entities: PERS (Person), ORG, GPE (Geopolitical entities, countries, cities), LOC (Locations), DATE, TIME, CARDINAL, ORDINAL, PERCENT, MONEY, QUANTITY, EVENT, FAC (Facilities), NORP (Nationalities, religious/political groups), OCC (Occupations), LANGUAGE, WEBSITE, UNIT (Units of measurement), LAW (Legal documents), PRODUCT, CURR (Currencies)
- Source: SinaLab/ArabicNER GitHub repo
- Size: This repository only contains the sample subset provided in the GitHub repository.
Preprocessing
The data has been processed and converted into JSON format, structured specifically for fine-tuning NER tasks with proper formatting and tokenization.
Usage
You can load this dataset directly with datasets:
from datasets import load_dataset
dataset = load_dataset("AhmedNabil1/wojood-arabic-ner")
print(dataset["train"][0])
License
This dataset is released under the MIT License, in accordance with the original Wojood Arabic NER repository.
Please retain this license and attribution when using or redistributing.
Acknowledgements
- Dataset Source: SinaLab/ArabicNER GitHub repo
- Processing and Hugging Face release: [Ahmed Nabil / AhmedNabil1]