About Version 2 of the Dataset (MNAD.v2)

Version 2 of the MNAD dataset includes an additional 653,901 articles, bringing the total number of articles to over 1 million (1,069,489), classified into the same 19 categories as in version 1. The new documents were collected from seven additional prominent Moroccan news websites, namely al3omk.com, medi1news.com, alayam24.com, anfaspress.com, alyaoum24.com, barlamane.com, and SnrtNews.com.

The newly collected articles have been merged with the articles from the previous version into a single CSV file named MNADv2.csv. This file includes an additional column called "Source" to indicate the source of each news article.

Furthermore, MNAD.v2 incorporates improved pre-processing techniques and data cleaning methods. These enhancements involve removing duplicates, eliminating multiple spaces, discarding rows with NaN values, replacing new lines with "\n", excluding very long and very short articles, and removing non-Arabic articles. These additions and improvements aim to enhance the usability and value of the MNAD dataset for researchers and practitioners in the field of Arabic text analysis.

This dataset is available for download from the following sources:

• Kaggle Datasets : MNADv2
• Huggingface Datasets: MNADv2

Citation

If you use our data, please cite the following paper:

@inproceedings{MNAD2021,
    author    = {Mourad Jbene and 
                 Smail Tigani and 
                 Rachid Saadane and 
                 Abdellah Chehri},
    title     = {A Moroccan News Articles Dataset ({MNAD}) For Arabic Text Categorization},
    year      = {2021},
    publisher = {{IEEE}},
    booktitle = {2021 International Conference on Decision Aid Sciences and Application ({DASA})}
    doi       = {10.1109/dasa53625.2021.9682402},
    url       = {https://doi.org/10.1109/dasa53625.2021.9682402},
}