---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: word
    dtype: string
  - name: tag
    dtype: string
  splits:
  - name: train
    num_bytes: 2286358
    num_examples: 125102
  - name: test
    num_bytes: 460049
    num_examples: 25008
  download_size: 1029992
  dataset_size: 2746407
license: cc-by-sa-4.0
language:
- ar
tags:
- Named Entity Recognition
task_categories:
- token-classification
size_categories:
- 100K<n<1M
---
# Dataset Card for "ANERCorp"

## Papers:

Benajiba, Yassine, Paolo Rosso, and José Miguel Benedí Ruiz. "Anersys: An Arabic named entity recognition system based on maximum entropy." In International Conference on Intelligent Text Processing and Computational Linguistics, pp. 143-153. Springer, Berlin, Heidelberg, 2007.

Ossama Obeid, Nasser Zalmout, Salam Khalifa, Dima Taji, Mai Oudah, Bashar Alhafni, Go Inoue, Fadhl Eryani, Alexander Erdmann, and Nizar Habash. "CAMeL Tools: An Open Source Python Toolkit, for Arabic Natural Language Processing." In Proceedings of the Conference on Language Resources and Evaluation (LREC 2020), Marseille, 2020.