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README.md

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----
-language:
-- ja
-license: cc-by-4.0
-size_categories:
-- 1K<n<10K
-task_categories:
-- visual-question-answering
-dataset_info:
-  features:
-  - name: image_id
-    dtype: int64
-  - name: url
-    dtype: string
-  - name: width
-    dtype: int64
-  - name: height
-    dtype: int64
-  - name: coco_id
-    dtype: float64
-  - name: flickr_id
-    dtype: float64
-  - name: qas
-    list:
-    - name: a_objects
-      sequence: 'null'
-    - name: answer
-      dtype: string
-    - name: q_objects
-      sequence: 'null'
-    - name: qa_id
-      dtype: int64
-    - name: question
-      dtype: string
-  - name: image
-    dtype: image
-  splits:
-  - name: test
-    num_bytes: 73348776.0
-    num_examples: 500
-  download_size: 355977607
-  dataset_size: 357916367.0
-configs:
-- config_name: default
-  data_files:
-  - split: test
-    path: data/test-*
----
-
-# JA-VG-VQA-500
-
-
-## Dataset Description 
-
-**JA-VG-VQA-500** is a 500-sample subset of [Japanese Visual Genome VQA dataset](https://github.com/yahoojapan/ja-vg-vqa).
-This dataset was used in the evaluation of [EvoVLM-JP-v1-7B](https://huggingface.co/SakanaAI/EvoVLM-JP-v1-7B). 
-Please refer to our [report](https://arxiv.org/abs/2403.13187) and [blog](https://sakana.ai/evolutionary-model-merge/) for more details. 
-We are grateful to the developers for making the dataset available under [Creative Commons Attribution 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode). 
-
-- [Visual Genome](https://homes.cs.washington.edu/~ranjay/visualgenome/index.html)
-- [Japanese Visual Genome VQA dataset](https://github.com/yahoojapan/ja-vg-vqa)
-
-## Usage
-
-Use the code below to get started with the dataset.
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("SakanaAI/JA-VG-VQA-500", split="test")
-```
-
-See [our GitHub repository](https://github.com/SakanaAI/evolutionary-model-merge) to evaluate Japanese VLMs. 
-
-## Acknowledgement
-
-We would like to thank the developers of the source datasets for their contributions and for making their work available.
-
-## Citation
-
-```bibtex
-@article{Krishna2016VisualGC,
-  title   = {Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations},
-  author. = {Ranjay Krishna and Yuke Zhu and Oliver Groth and Justin Johnson and Kenji Hata and Joshua Kravitz and Stephanie Chen and Yannis Kalantidis and Li-Jia Li and David A. Shamma and Michael S. Bernstein and Li Fei-Fei},
-  journal = {International Journal of Computer Vision},
-  year.   = {2017},
-  volume. = {123},
-  pages.  = {32-73},
-  URL     = {https://doi.org/10.1007/s11263-016-0981-7},
-  doi     = {10.1007/s11263-016-0981-7}
-}
-```
-
-```bibtex
-@InProceedings{C18-1163,
-  author    = "Shimizu, Nobuyuki and Rong, Na and Miyazaki, Takashi",
-  title     = "Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps",
-  booktitle = "Proceedings of the 27th International Conference on Computational Linguistics",
-  year      = "2018",
-  publisher = "Association for Computational Linguistics",
-  pages     = "1918--1928",
-  location  = "Santa Fe, New Mexico, USA",
-  url       = "http://aclweb.org/anthology/C18-1163"
-}
-```