π PEARL-X Dataset
Dataset ID: UBC-NLP/PEARL-X
Description: PEARL-X (PEARL eXtension) is a specialized benchmark designed to evaluate nuanced cultural understanding by focusing on shared cultural concepts that manifest differently across various Arab contexts. It incorporates both single-image and multi-image question-answering tasks, challenging models to compare, contrast, and synthesize information about culturally shared yet visually distinct items (e.g., different types of coffee, traditional attire).
Key Features:
- Focus: Nuanced cultural variations of 61 shared concepts
- Tasks: Single-image and multi-image question answering
- Size: 367 questions, 347 images
- Purpose: Assess complex reasoning and comparative understanding of cultural subtleties
- Languages: Arabic (questions and answers)
- Modality: Image-Text pairs (single and multiple images per question)
Paper: Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset
ArXiv Link: http://arxiv.org/abs/2505.21979
Hugging Face Link: https://huggingface.co/datasets/UBC-NLP/PEARL-X\
Citation:
@article{Alwajih2025pearl,
title={Pearl: A Multimodal Culturally-Aware {A}rabic Instruction Dataset},
author={Fakhraddin Alwajih and Samar M. Magdy and Abdellah El Mekki and Omer Nacar and Youssef Nafea and Safaa Taher Abdelfadil and Abdulfattah Mohammed Yahya and Hamzah Luqman and Nada Almarwani and Samah Aloufi and Baraah Qawasmeh and Houdaifa Atou and Serry Sibaee and Hamzah A. Alsayadi and Walid Al-Dhabyani and Maged S. Al-shaibani and Aya El aatar and Nour Qandos and Rahaf Alhamouri and Samar Ahmad and Razan Khassib and Lina Hamad and Mohammed Anwar AL-Ghrawi and Fatimah Alshamari and Cheikh Malainine and Doaa Qawasmeh and Aminetou Yacoub and Tfeil moilid and Ruwa AbuHweidi and Ahmed Aboeitta and Vatimetou Mohamed Lemin and Reem Abdel-Salam and Ahlam Bashiti and Adel Ammar and Aisha Alansari and Ahmed Ashraf and Nora Alturayeif and Sara Shatnawi and Alcides Alcoba Inciarte and AbdelRahim A. Elmadany and Mohamedou cheikh tourad and Ismail Berrada and Mustafa Jarrar and Shady Shehata and Muhammad Abdul-Mageed},
journal={arXiv preprint arXiv:2505.21979},
year={2025}
}
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