datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ImageEval-ArabicNLP26
ImageEval-ArabicNLP26 👁️
ImageEval-ArabicNLP26 is the dataset of the ImageEval 2026 Shared Task at ArabicNLP 2026.
It covers both of the shared task's tasks: AynVQA (Task 1), a culturally grounded Arabic multimodal benchmark for spoken visual question answering and hallucination detection, and CRAI-Bench (Task 2), which evaluates the cultural accuracy of Arabic text-to-image generation.
The shared task has concluded. All gold labels are released, including the blind test splits… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/ImageEval-ArabicNLP26.ALLaVA-4V-Arabic
ALLaVA-4V for Arabic
This is the Arabic version of the ALLaVA-4V data. We have translated the ALLaVA-4V data into Arabic through ChatGPT and instructed ChatGPT not to translate content related to OCR.
The original dataset can be found here, and the image data can be downloaded from ALLaVA-4V.
Citation
If you find our data useful, please consider citing our work! We are FreedomIntelligence from Shenzhen Research Institute of Big Data and The Chinese University of Hong… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/ALLaVA-4V-Arabic.arabic-menus-dataset
🍽️ Arabic Restaurant Menus OCR Dataset
A large-scale, high-quality multimodal dataset designed specifically for fine-tuning Vision-Language Models (VLMs) on zero-shot Information Extraction (IE) and Optical Character Recognition (OCR) tasks.
This dataset focuses exclusively on authentic, culturally specific Arabic restaurant menus, containing localized formatting, dialectal food names, and dynamic pricing structures.
📊 Dataset Overview
Total Images: ~3,400… See the full description on the dataset page: https://huggingface.co/datasets/mohamedashraff22/arabic-menus-dataset.Arabic_3M_5M_ViT-B-16-plus-240
Loading the training split as follows:
from datasets import load_dataset
ds_train = load_dataset("Arabic-Clip/Arabic_3M_5M_ViT-B-16-plus-240", split="train")
ds_train
# Dataset({
# features: ['index', 'url', 'en_caption', 'embeddings_en', 'caption_ar'],
# num_rows: 200000
# })
Loading the validation split as follows:
from datasets import load_dataset
ds_validation = load_dataset("Arabic-Clip/Arabic_3M_5M_ViT-B-16-plus-240", split="validation")… See the full description on the dataset page: https://huggingface.co/datasets/Arabic-Clip/Arabic_3M_5M_ViT-B-16-plus-240.aljazeera-news-arabic
Al Jazeera Arabic News Articles Dataset
A dataset of 9,758 Arabic news articles scraped from Al Jazeera Arabic (aljazeera.net), covering the period from September 30, 2025 to March 14, 2026.
Dataset Description
Each record contains the full article text, title, publication date, topic labels, and optional image metadata. The articles span 183 unique topic tags across politics, sports, economy, religion, and more.
Supported Tasks
Text Classification… See the full description on the dataset page: https://huggingface.co/datasets/Skiittoo/aljazeera-news-arabic.Arabic_dataset_13M_translated_cleaned_v2_jsonl_format_ViT-B-16-SigLIP-512_validationArabic_3M_5M_ViT-B-16-SigLIP-512
Loading the training split as follows:
from datasets import load_dataset
ds_train = load_dataset("Arabic-Clip/Arabic_3M_5M_ViT-B-16-SigLIP-512", split="train")
ds_train
# Dataset({
# features: ['index', 'url', 'en_caption', 'embeddings_en', 'caption_ar'],
# num_rows: 2000000
# })
Loading the validation split as follows:
from datasets import load_dataset
ds_validation = load_dataset("Arabic-Clip/Arabic_3M_5M_ViT-B-16-SigLIP-512", split="validation")… See the full description on the dataset page: https://huggingface.co/datasets/Arabic-Clip/Arabic_3M_5M_ViT-B-16-SigLIP-512.Arabic_dataset_1M_translated_jsonl_format_ViT-B-16-plus-240This translation done using https://huggingface.co/Helsinki-NLP/opus-mt-en-ar
Arabic_dataset_13M_translated_cleaned_v2_jsonl_format_ViT-B-16-plus-240This dataset repo contains the dataset (CC3M+CC12M+SBU) translated using opus-mt-en-ar and cleaned. Its size about 13M
Arabic_dataset_13M_translated_cleaned_v2_jsonl_format_ViT-B-16-plus-240-fulldata-v2DatasetDict({
train: Dataset({
features: ['index', 'embeddings', 'en_caption', 'ar_caption', 'nr_words', 'url'],
num_rows: 12166802
})
})
ImageCaptions-7M-Translations-Arabic-subset-150000ccs_synthetic_ar_1M-Arabic_dataset_1M_translated_jsonl_formatarabic_newsarabic_dataset_translated_v2_ViT-B-16-SigLIP-512xtd_arabic