---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: word
    dtype: string
  - name: tag
    dtype: string
  splits:
  - name: train
    num_bytes: 3474380
    num_examples: 168080
  download_size: 1047962
  dataset_size: 3474380
license: cc-by-sa-3.0
language:
- ar
tags:
- Named Entity Recognition
task_categories:
- token-classification
size_categories:
- 100K<n<1M
---
# Dataset Card for "NewsFANE: Newswire-based Fine-grained Arabic Named Entity Corpus"

## Paper:
Fahd Alotaibi and Mark Lee. 2014. A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pages 984–995, Dublin, Ireland. Dublin City University and Association for Computational Linguistics.