ARPD: The Academic Arabic Research Papers Dataset (corpus).

ARPD: The Academic Arabic Research Papers Dataset.

This corpus/dataset contributes to the Arabic language field by providing a novel Academic dataset that can be utilized for various purposes, such as NLP models and conducting text analysis. Also, this dataset contains papers from seven science fields written in Arabic. These fields are Arabic, religion, art, law, education, and agriculture. So, the dataset consists of seven classes based on these science fields.  In addition, this dataset boasts a significant number of 2,133 documents. Also, the dataset was published in different formats, such as PDF files, Text files, and CSV files, to benefit the Arabic research area.

Arabic Article class

# papers

Art

303

Law

301

Business

313

Religion

304

Agricultural

308

Arabic

303

Education

301

Total

2133

The dataset contains:

1.    All the PDF files are classified into appropriate classes. (PDF.zip)

2.    The text files obtained after converting the PDF and processing. (Text file.zip)

3.    The text file is a new version after applying some processing steps. The preprocessing step includes Arabic normalization for alef, teh, and ligature, removes tashkeel, harakat, tweel, and shadda, and stops word removal. (TextWithPreprocess.zip)

4. The CSV file contains two columns: the first column of the paper and the second column, which includes the class. (ARPD.csv , ARPD-prepocess.csv)