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failo0711/ATG-MoE_TrainingSet

2,067 downloads in 30 days0 likesLast modified 20 Mar 2026View on Hugging Face

Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 68b141b
Licence files: No licence file at the top level of the repositoryEvidence: file list at 68b141b
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

robotics

Citation text from the card

If you find this dataset or our work helpful, please cite:

```bibtex
@misc{huang2026atgmoeautoregressivetrajectorygeneration,
  title={ATG-MoE: Autoregressive trajectory generation with mixture-of-experts for assembly skill learning},
  author={Weihang Huang and Chaoran Zhang and Xiaoxin Deng and Hao Zhou and Zhaobo Xu and Shubo Cui and Long Zeng},
  year={2026},
  eprint={2603.19029},
  archivePrefix={arXiv},
  primaryClass={cs.RO},
  url={https://arxiv.org/abs/2603.19029},
}

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dataset_licence({ "id": "failo0711/ATG-MoE_TrainingSet" })
signal: "permissive"
stated_licence: "mit"
sources: 0