Description: This shared task focuses on fine-grained readability classification across 19 levels using the Balanced Arabic Readability Evaluation Corpus (BAREC), a dataset of over 1 million words. Participants will build models for both sentence- and document-level classification.

Organizers: Khalid N. Elmadani. Khalid N. Elmadani (New York University Abu Dhabi), Bashar Alhafni (New York University Abu Dhab and Mohamed bin Zayed University of Artificial Intelligence), Hanada Taha-Thomure (Zayed University), and Nizar Habash  (New York University Abu Dhabi)

More details coming soon!