All datasets / ln2697

ln2697/l3ad

271 downloads in 30 days0 likesLast modified 2 May 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 6288061
Licence files: No licence file at the top level of the repositoryEvidence: file list at 6288061
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

robotics

Citation text from the card

@inproceedings{Nguyen2026CVPR,
  author    = {Long Nguyen and Micha Fauth and Bernhard Jaeger and Daniel Dauner and
               Maximilian Igl and Andreas Geiger and Kashyap Chitta},
  title     = {LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving},
  booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2026},
}

@software{Contributors123D,
  title   = {123D: A Unified Library for Multi-Modal Autonomous Driving Data},
  author  = {123D Contributors},
  year    = {2026},
  url     = {https://github.com/kesai-labs/py123d},
  license = {Apache-2.0}
}

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dataset_licence({ "id": "ln2697/l3ad" })
signal: "permissive"
stated_licence: "mit"
sources: 0