Datasets:
Tasks:
Token Classification
Formats:
parquet
Languages:
Arabic
Size:
10K - 100K
Tags:
Named Entity Recognition
License:
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. |