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GiTBench training data

Grounded in Time โ€” teaser

Website GitHub arXiv HuggingFace ModelScope

[ Website ] [ GitHub ] [ arXiv ] [ HuggingFace ] [ ModelScope ]

Lerobot v3 format of GiTBench training data. There are a total of 9 tasks, each with 160 training episodes.

๐Ÿ“œ Citation

If you find this dataset and benchmark useful, please cite:

@article{wang2026grounded,
  title={Grounded in Time: A Multi-Source Dataset and Benchmark for Temporal Grounding in Robotic Manipulation},
  author={Wang, Yi and Yang, Yang and Xu, Guangqi and Lin, Sumin and Kang, Ning and Lu, Pengxiang and Chen, Xiaotong and Xue, Zeyu and Deng, Ping and Liu, Xing and others},
  journal={arXiv preprint arXiv:2610.04255},
  year={2026}
}

๐Ÿ“„ License

Released under the Apache-2.0 license. See LICENSE for details.

๐Ÿ™ Acknowledgments

We thank the ManiSkill-3 team for their open-source simulation platform and the work that makes this benchmark's manipulation environments possible.

๐Ÿ“ฎ Contact

For questions, issues, or collaboration, please open an issue on GitHub.

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