arabic-dataset

A list of Moroccan Darija Datasets grouped by name, data source, region and size.

One of the problems faced concerning Arabic fake news detection is the scarcity of Arabic datasets. We believe it is important to available a dataset is written in the Arabic language explicitly created for this domain. The existing studies of Arabic fake news detection are limited because most of the dataset has not been available to access for…

RightNow Arabic LLM Corpus - One of the largest high-quality Arabic text datasets for LLM training

Retrieval-information-by-using-Search-Engines-technique-for-System-of-Labor-dataset The Arabic language is one of the most widely spoken languages al around the globe. A wide variety of natural language processing experts have tried to work on it to understand its linguistic complexity. When we consider text processing and its applications we su…

A comprehensive guide for beginners looking to start fine-tuning BERT models for sentiment analysis on Arabic text. This project walks through the complete process of data preprocessing, model training, and evaluation, providing a beginner-friendly tutorial on how to fine-tune and deploy machine learning models for real-world applications.

ASAYAR: A dataset for French and Arabic Text Detection in Highway panels and Traffic Sign Detection.

Code and resources for the paper: “One Stroke, One Shot: Diffusing a New Era in Arabic Handwriting Generation"

This repository contains projects focused on Arabic Natural Language Processing (NLP)

Arabic to English transliteration dataset

Python-based analysis of Saudi labor market trends (Q1 2021–Q4 2025) using GASTAT quarterly surveys, GOSI administrative records, and KAPSARC data. Covers employment gaps, wage trends, occupational segregation, and Saudization progress under Vision 2030.

JabrDataset - the largest dataset of Arabic handwritten mathematical symbols.

A personal knowledge base designed for mastering Arabic dialects. This application combines a beautiful, modern interface with AI-powered insights to help you organize, understand, and retain vocabulary across different Arabic regions.

This project involves training a Word2Vec model on an Arabic BERT corpus to generate high-quality word embeddings, enhancing natural language processing (NLP) applications in Arabic text analysis.