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2toINF
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README.md
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## Dataset Description
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- **Homepage:** [More Information Needed]
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- **Paper:** [More Information Needed]
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- **License:** apache-2.0
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## Dataset Structure
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[meta/info.json](meta/info.json):
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```json
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{
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}
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```
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## Citation
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**BibTeX:**
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```bibtex
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```
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## Dataset Description
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**Repository:** [X-VLA](https://thu-air-dream.github.io/X-VLA/)
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**License:** Apache 2.0
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**Paper:** *Zheng et al., 2025, “X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model”* ([arXiv:2510.10274](https://arxiv.org/pdf/2510.10274))
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## Dataset Structure
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[meta/info.json](meta/info.json):
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```json
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{
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}
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```
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## Note
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The action labels in this dataset have an issue: the left- and right-arm actions are not perfectly synchronized.
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We recommend re-interpolating them using the provided timestamps. Please refer to our official code for the [guidance](https://github.com/2toinf/X-VLA/blob/ae1d91f7581af39f080b33f71af72ddcac3457e1/datasets/domain_handler/real_world.py#L53)
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## Citation
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If you find this dataset helpful to your project, please kindly cite us
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**BibTeX:**
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```bibtex
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@article{zheng2025x,
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title = {X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model},
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author = {Zheng, Jinliang and Li, Jianxiong and Wang, Zhihao and Liu, Dongxiu and Kang, Xirui
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and Feng, Yuchun and Zheng, Yinan and Zou, Jiayin and Chen, Yilun and Zeng, Jia and others},
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journal = {arXiv preprint arXiv:2510.10274},
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year = {2025}
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}
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```
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