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# MTU3D Dataset
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[๐ Paper (MTU3D)]() | [๐งพ Project GitHub](https://github.com/MTU3D/MTU3D)
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The **MTU3D dataset** provides all the necessary data for reproducing the experiments in the [Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation(ICCV25)](), including **stage1 data for embodied segmentation training**, **feature saved from stage1** and **
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**SceneVerse** required for **MTU3D** should be downloaded from [SceneVerse](https://github.com/scene-verse/sceneverse?tab=readme-ov-file).
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Specifically, we provide the correspondence between **\*.tar.gz** in this Dataset and **data.\*** in the config file:
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| .tar.gz | data.config |
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| --- | --- |
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| embodied_base.tar.gz | data.embodied_base |
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| embodied_feat.tar.gz | data.embodied_feat |
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| embodied_vle.tar.gz | data.embodied_vle |
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> ๐ The dataset is large and stored in split archives. Please **download all parts**, **merge**, and **extract** them before usage.
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# MTU3D Dataset
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[๐ Paper (MTU3D)](https://www.arxiv.org/abs/2507.04047) | [๐งพ Project GitHub](https://github.com/MTU3D/MTU3D)
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The **MTU3D dataset** provides all the necessary data for reproducing the experiments in the [Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation(ICCV25)](https://www.arxiv.org/abs/2507.04047), including **stage1 data for embodied segmentation training**, **feature saved from stage1**, **vle stage2 data** and **embodied_bench_data**.
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Specifically, we provide the correspondence between **\*.tar.gz** in this Dataset and **data.\*** in the config file:
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| .tar.gz | data.config | description |
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| --- | --- | --- |
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| embodied_base.tar.gz | data.embodied_base | stage1 data |
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| embodied_feat.tar.gz | data.embodied_feat | feature saved from stage1 |
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| embodied_vle.tar.gz | data.embodied_vle | vle stage2 data |
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The **embodied_bench_data.tar.gz** is used to change `data_set_path` and `navigation_data_path` in hm3d-online/*.nav.py.
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> ๐ The dataset is large and stored in split archives. Please **download all parts**, **merge**, and **extract** them before usage.
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