UBC-NLP/PEARL-FULL

💎 Full Pearl Dataset

This repository contains the full, unreviewed dataset comprising 309K multimodal examples. This data was generated automatically using the agentic pipeline developed for the Pearl project, as described in our paper.

Disclaimer: This is the raw, synthetic data that has not been subject to human review. It was generated as part of the data creation process and is released for research purposes. It may contain noise, errors, or inconsistencies. For the high-quality, human-reviewed benchmarks, please see the links below.

Download

The full dataset (309K examples) is hosted on Google Drive:

• Google Drive: https://drive.google.com/drive/folders/1awP5ONLRz2IYRYzWSymoR16QBkP3l3HK?usp=sharing

Dataset Contents

The dataset is split into multiple .zip files:

• JSON Data (pearl_part_XX.zip): These files (e.g., pearl_part_01.zip) contain the 309K synthetic multimodal examples (captions, questions, and answers) in JSON format.
• Image Data (images_part_X.zip): These files (e.g., images_part_1.zip) contain the corresponding images.

You will need to download all parts and unzip them to use the full dataset.

Related Pearl Resources

• Official Website: https://pearl.dlnlp.ai/
• Human-Reviewed Benchmarks (Hugging Face): https://huggingface.co/collections/UBC-NLP/pearl
• Paper (arXiv): Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset

Citation

If you use this dataset or the accompanying benchmarks, please cite our paper:

@inproceedings{alwajih-etal-2025-pearl,
    title = "Pearl: A Multimodal Culturally-Aware {A}rabic Instruction Dataset",
    author = "Alwajih, Fakhraddin  and
      Magdy, Samar M.  and
      El Mekki, Abdellah  and
      Nacar, Omer  and
      Nafea, Youssef  and
      Abdelfadil, Safaa Taher  and
      Yahya, Abdulfattah Mohammed  and
      Luqman, Hamzah  and
      Almarwani, Nada  and
      Aloufi, Samah  and
      Qawasmeh, Baraah  and
      Atou, Houdaifa  and
      Sibaee, Serry  and
      Alsayadi, Hamzah A.  and
      Al-Dhabyani, Walid  and
      Al-shaibani, Maged S.  and
      El aatar, Aya  and
      Qandos, Nour  and
      Alhamouri, Rahaf  and
      Ahmad, Samar  and
      AL-Ghrawi, Mohammed Anwar  and
      Yacoub, Aminetou  and
      AbuHweidi, Ruwa  and
      Lemin, Vatimetou Mohamed  and
      Abdel-Salam, Reem  and
      Bashiti, Ahlam  and
      Ammar, Adel  and
      Alansari, Aisha  and
      Ashraf, Ahmed  and
      Alturayeif, Nora  and
      Alcoba Inciarte, Alcides  and
      Elmadany, AbdelRahim A.  and
      Tourad, Mohamedou Cheikh  and
      Berrada, Ismail  and
      Jarrar, Mustafa  and
      Shehata, Shady  and
      Abdul-Mageed, Muhammad",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "[https://aclanthology.org/2025.findings-emnlp.1254/](https://aclanthology.org/2025.findings-emnlp.1254/)",
    pages = "23048--23079",
    ISBN = "979-8-89176-335-7"
}