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JA-Multi-Image-VQA

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魔搭社区2025-12-10 更新2025-01-18 收录
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https://modelscope.cn/datasets/SakanaAI/JA-Multi-Image-VQA
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资源简介:
# 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} } ```

# JA多图像视觉问答(JA-Multi-Image-VQA) ## 数据集说明 **JA多图像视觉问答(JA-Multi-Image-VQA)** 是一款用于评估多图像输入场景下问答能力的数据集。我们精心采集了39张多样化图像,并配套共计55个问题。 部分图像包含日本文化元素与日本本土物件。日语问答内容均由人工创作。 <!-- 若需评估日语视觉语言模型(Vision Language Model, VLM),请访问[我们的GitHub仓库](https://github.com/SakanaAI/evolutionary-model-merge) --> ## 使用方法 python from datasets import load_dataset dataset = load_dataset("SakanaAI/JA-Multi-Image-VQA", split="test") ## 使用规范 本数据集的图像资源源自Unsplash平台,可依据Unsplash许可协议免费使用。未经大幅修改的情况下,不得对其进行售卖,亦不得用于复刻同类或竞争性服务。 数据集除图像外的其余内容,均采用Apache 2.0许可协议进行授权。 ## 引用格式 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} }
提供机构:
maas
创建时间:
2025-01-17
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