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Add MuseVLA links and citation

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  1. README.md +24 -0
README.md CHANGED
@@ -15,15 +15,24 @@ tags:
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  size_categories:
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  - 10K<n<100K
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  pretty_name: MuseVLA Dataset
 
 
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  ---
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  # MuseVLA Dataset
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  Multi-modal robot manipulation dataset with synchronized RGB, depth, acoustic,
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  thermal, and radar streams. Released as two parts (`dataset_01/`,
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  `dataset_02/`) sharing the same per-episode layout. Together they cover
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  ~1400 episodes across 11 instructions (towel / clothes / box / item / drink
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  manipulation).
 
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  ## Per-episode contents
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  ```
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  |---:|---:|---:|---:|---|---|
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  | 1397 (1279 + 118) | 1010 (913 + 97) | 1930 (1737 + 193) | 11 | 1280 × 720 | 30 fps |
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  ## License
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  CC-BY-NC-4.0 (research use only).
 
 
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  size_categories:
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  - 10K<n<100K
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  pretty_name: MuseVLA Dataset
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+ arxiv:
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+ - 2606.17598
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  ---
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  # MuseVLA Dataset
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+ <p align="center">
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+ <a href="https://arxiv.org/abs/2606.17598"><img src="https://img.shields.io/badge/arXiv-Paper-red?logo=arxiv&logoColor=white" alt="arXiv"></a>
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+ <a href="https://github.com/microsoft/MuseVLA"><img src="https://img.shields.io/badge/Code-GitHub-181717?logo=github&logoColor=white" alt="Code Repository"></a>
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+ <a href="https://huggingface.co/microsoft/MuseVLA"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-blue" alt="Hugging Face Model"></a>
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+ </p>
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+
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  Multi-modal robot manipulation dataset with synchronized RGB, depth, acoustic,
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  thermal, and radar streams. Released as two parts (`dataset_01/`,
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  `dataset_02/`) sharing the same per-episode layout. Together they cover
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  ~1400 episodes across 11 instructions (towel / clothes / box / item / drink
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  manipulation).
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+
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  ## Per-episode contents
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  ```
 
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  |---:|---:|---:|---:|---|---|
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  | 1397 (1279 + 118) | 1010 (913 + 97) | 1930 (1737 + 193) | 11 | 1280 × 720 | 30 fps |
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{liu2026musevlaadaptivemultimodalsensing,
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+ title={MuseVLA: An Adaptive Multimodal Sensing Vision-Language-Action Model for Robotic Manipulation},
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+ author={Xingyuming Liu and Ruichun Ma and Heyu Guo and Qixiu Li and Qingwen Yang and Lin Luo and Shiqi Jiang and Chenren Xu and Jiaolong Yang and Baining Guo},
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+ year={2026},
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+ eprint={2606.17598},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.RO},
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+ url={https://arxiv.org/abs/2606.17598},
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+ }
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+ ```
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+
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  ## License
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  CC-BY-NC-4.0 (research use only).
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+