Datasets:
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---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 181482477
num_examples: 45500
download_size: 86389093
dataset_size: 181482477
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-classification
- translation
- summarization
language:
- ar
- en
size_categories:
- 10K<n<100K
---
# Arabic News Articles Dataset
## About Dataset
Context
SANAD Dataset is a large collection of Arabic news articles that can be used in different Arabic NLP tasks such as Text Classification and Word Embedding. The articles were collected using Python scripts written specifically for three popular news websites: AlKhaleej, AlArabiya and Akhbarona.
All datasets have seven categories [Culture, Finance, Medical, Politics, Religion, Sports and Tech], except AlArabiya which doesn’t have [Religion]. SANAD contains a total number of 190k+ articles.
## Content
a subset Khaleej (45500 articles in 7 categories) of SANAD. Labels are categorized in: Culture, Finance, Medical, Politics,Religion,Sports,Tech.
## Acknowledgements
We wouldn't be here without the help of Omar Einea, Ashraf Elnagar, Ridhwan Al-Debsi.
https://doi.org/10.1016/j.dib.2019.104076
## Contact
**Mouwiya S. A. Al-Qaisieh**
mo3awiya@gmail.com |