Update README.md

README.md

@@ -1,4 +1,8 @@
 ---
+size_categories:
+- n<1K
+task_categories:
+- visual-question-answering
 dataset_info:
   features:
   - name: images
@@ -23,3 +27,37 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+# 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 generated 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 parts of this dataset, other than 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}
+}
+```