README.md

---
size_categories:
- n<1K
task_categories:
- visual-question-answering
dataset_info:
  features:
  - name: images
    sequence: image
  - name: page_urls
    sequence: string
  - name: image_urls
    sequence: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  splits:
  - name: test
    num_bytes: 102782224
    num_examples: 55
  download_size: 29527995
  dataset_size: 102782224
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
license: apache-2.0
language:
- ja
---

# JA-Multi-Image-VQA


## Dataset Description 
**JA-Multi-Image-VQA** is a dataset for evaluating the question answering capabilities on multiple image inputs. 
We carefully collected a diverse set of 39 images with 55 questions in total.

Some images contain Japanese culture and objects in Japan. The Japanese questions and answers were created manually.

<!-- To evaluate Japanese VLMs, please go to [our Github repository](https://github.com/SakanaAI/evolutionary-model-merge). -->

## Usage

```python
from datasets import load_dataset
dataset = load_dataset("SakanaAI/JA-Multi-Image-VQA", split="test")
```

## Uses
The images in this dataset are sourced from Unsplash and are free to use under the Unsplash License. 
They cannot be sold without significant modification and cannot be used to replicate similar or competing services. 

All other parts of this dataset, excluding the images, are licensed under the Apache 2.0 License.

## Citation

```bibtex
@misc{Llama-3-EvoVLM-JP-v2, 
url    = {[https://huggingface.co/SakanaAI/Llama-3-EvoVLM-JP-v2](https://huggingface.co/SakanaAI/Llama-3-EvoVLM-JP-v2)}, 
title  = {Llama-3-EvoVLM-JP-v2}, 
author = {Yuichi, Inoue and Takuya, Akiba and Shing, Makoto}
}
```