Add metadata, paper link, and project page
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by nielsr HF Staff - opened
README.md
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# 🧠 J-ORA: A Robot Perception Framework for Japanese Object Identification, Reference Resolution, and Action Prediction
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**A Multimodal Dataset for Vision-Language Grounding in Human-Robot Interaction (HRI)**
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**📍 Language: Japanese | 🤖 Focus: Embodied AI | 📆 Size: 142 Scenes | 🔬 Granularity: Object-Level**
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## 📘 Summary
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Released under:
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**CC BY-SA 4.0** — Creative Commons Attribution-ShareAlike 4.0 International License.
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task_categories:
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- robotics
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- image-text-to-text
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language:
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- ja
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license: cc-by-sa-4.0
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# 🧠 J-ORA: A Robot Perception Framework for Japanese Object Identification, Reference Resolution, and Action Prediction
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**A Multimodal Dataset for Vision-Language Grounding in Human-Robot Interaction (HRI)**
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**📍 Language: Japanese | 🤖 Focus: Embodied AI | 📆 Size: 142 Scenes | 🔬 Granularity: Object-Level**
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[Paper](https://huggingface.co/papers/2510.21761) | [Project Page](https://jatuhurrra.github.io/J-ORA/) | [Code](https://github.com/jatuhurrra/OpenPerception)
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## 📘 Summary
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Released under:
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**CC BY-SA 4.0** — Creative Commons Attribution-ShareAlike 4.0 International License.
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