{
 "id": "Stone-Chern/GSSC-S2D2-datasets",
 "owner": "Stone-Chern",
 "name": "GSSC-S2D2-datasets",
 "downloads": 777,
 "likes": 1,
 "last_modified": "2026-08-28T01:36:21.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
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 "gated": false,
 "tasks": [
  "image-segmentation"
 ],
 "citation": "Released under **CC BY-NC-SA 4.0**, inherited from SemanticKITTI, from which this\ncorpus is derived. Any use must also cite the two papers SemanticKITTI requires:\n\n1. J. Behley, M. Garbade, A. Milioto, J. Quenzel, S. Behnke, C. Stachniss and J. Gall.\n   *SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences.* ICCV 2019.\n2. A. Geiger, P. Lenz and R. Urtasun. *Are we ready for Autonomous Driving? The KITTI\n   Vision Benchmark Suite.* CVPR 2012, pp. 3354–3361.\n\nThe baseline predictions are outputs of SCPNet, JS3C-Net and LMSCNet; please cite those\nworks when using the corresponding archives.",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "a653540efe3cfa751260a4c33308049a969fa521",
 "stated_evidence": "https://huggingface.co/datasets/Stone-Chern/GSSC-S2D2-datasets/blob/a653540efe3cfa751260a4c33308049a969fa521/README.md",
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}