metadata

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.