# Datasheet for COCO-ARVQA

## Motivation

The dataset was created to support Arabic Visual Question Answering and multilingual multimodal research.

## Composition

- Total examples: 104,006
- Train examples: 93,645
- Validation examples: 10,361
- Total unique referenced images: 55,438
- Image source: COCO 2017 train2017
- Images included in this repository: No

## Collection and Processing

The dataset links Arabic question-answer annotations to COCO image file names. Users must download COCO 2017 train2017 images separately.

## Recommended Uses

Arabic VQA, multimodal learning, Arabic vision-language modeling, and parameter-efficient adaptation studies.

## Licensing

Arabic annotations: CC BY 4.0.
COCO images: not redistributed; users must comply with original COCO/Flickr image terms.