Datasets:
Tasks:
Token Classification
Formats:
parquet
Languages:
Arabic
Size:
10K - 100K
Tags:
Named Entity Recognition
License:
File size: 1,096 Bytes
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---
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. |