---
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.