metadata

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: Sentence_ID
      dtype: int64
    - name: Word_ID
      dtype: int64
    - name: Word
      dtype: string
    - name: Annotator1
      dtype: string
    - name: Annotator2
      dtype: string
    - name: Agreed_Label
      dtype: string
    - name: Revised_Label
      dtype: string
  splits:
    - name: train
      num_bytes: 2888743
      num_examples: 55389
  download_size: 853580
  dataset_size: 2888743
license: unknown
task_categories:
  - token-classification
language:
  - ar
pretty_name: The COVID-19 Arabic Named Entity Corpus
size_categories:
  - 10K<n<100K
tags:
  - Named Entity Recognition

Dataset Card for "CAraNER: The COVID-19 Arabic Named Entity Corpus"

Paper:

Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Wejdan Alzahrani, and Alia Bahanshal. 2022. CAraNER: The COVID-19 Arabic Named Entity Corpus. In Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP), pages 1–10, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.