Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
100K - 1M
Tags:
Named Entity Recognition
License:
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: 10090199 | |
num_examples: 489561 | |
download_size: 2994351 | |
dataset_size: 10090199 | |
license: cc-by-sa-3.0 | |
task_categories: | |
- token-classification | |
language: | |
- ar | |
size_categories: | |
- 100K<n<1M | |
tags: | |
- Named Entity Recognition | |
# Dataset Card for "WikiFANE: Wikipedia-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. |