Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
100K - 1M
Tags:
Named Entity Recognition
License:
File size: 892 Bytes
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---
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. |