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quastAI/behavior-1k-2025-challenge-vjepa2-vitg-demo-embeddings

1,010 downloads in 30 days2 likesLast modified 2 Jun 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 ad7a32f
Licence files: No licence file at the top level of the repositoryEvidence: file list at ad7a32f
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

feature-extraction

Citation text from the card

@misc{Quast2026,
  title={Short Horizon Planning with V-JEPA-2 AC on BEHAVIOR-1K},
  author={Quast, Julian},
  year={2026},
}

@article{li2024behavior,
  title={Behavior-1k: A human-centered, embodied ai benchmark with 1,000 everyday activities and realistic simulation},
  author={Li, Chengshu and Zhang, Ruohan and Wong, Josiah and ...},
  journal={arXiv preprint arXiv:2403.09227},
  year={2024}
}

@article{assran2025vjepa2,
  title={V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning},
  author={Assran, Mahmoud and Bardes, Adrien and Fan, David and ...},
  journal={arXiv preprint arXiv:2506.09985},
  year={2025}
}

@article{murlabadia2026vjepa2_1,
  title={V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning},
  author={Mur-Labadia, Lorenzo and Muckley, Matthew and Bar, Amir and ...},
  journal={arXiv preprint arXiv:2603.14482},
  year={2026}
}

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dataset_licence({ "id": "quastAI/behavior-1k-2025-challenge-vjepa2-vitg-demo-embeddings" })
signal: "permissive"
stated_licence: "mit"
sources: 0