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--- |
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license: apache-2.0 |
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task_categories: |
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- visual-question-answering |
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language: |
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- ja |
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size_categories: |
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- 1K<n<10K |
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--- |
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# JIC-VQA |
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# Dataset Description |
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Japanese Image Classification Visual Question Answering (JIC-VQA) is a benchmark for evaluating Japanese Vision-Language Models (VLMs). We built this benchmark based on the [recruit-jp/japanese-image-classification-evaluation-dataset](https://huggingface.co/datasets/recruit-jp/japanese-image-classification-evaluation-dataset) by adding questions to each sample. All questions are multiple-choice, each with four options. We select options that closely relate to their respective labels in order to increase the task's difficulty. |
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The images include 101 types of Japanese food, 30 types of Japanese flowers, 20 types of Japanese facilities, and 10 types of Japanese landmarks. |
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# Uses |
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All the images in this dataset are licensed under CC-BY-2.0, CC-BY-NC-2.0, Public Domain Mark 1.0, or Public Domain Dedication. Please note that CC-BY-NC-2.0 prohibits commercial use. Also, CC-BY-2.0, CC-BY-NC-2.0, and Public Domain Mark 1.0 prohibit sublicensing, so the collected image data cannot be published. |
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# Citation |
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``` |
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@misc{jic-vqa, |
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title={Japanese Image Classification Visual Question Answering (JIC-VQA) Dataset}, |
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author={Mikihiro Tanaka and Peifei Zhu and Shuhei Yokoo}, |
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url={https://huggingface.co/line-corporation/JIC-VQA}, |
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} |
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``` |
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