{
 "id": "ShapeNet/PartNet-archive",
 "owner": "ShapeNet",
 "name": "PartNet-archive",
 "downloads": 610,
 "likes": 34,
 "last_modified": "2026-09-08T22:51:23.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "manual",
 "tasks": [],
 "citation": "@techreport{shapenet2015,\n  title       = {{ShapeNet: An Information-Rich 3D Model Repository}},\n  author      = {Chang, Angel X. and Funkhouser, Thomas and Guibas, Leonidas and Hanrahan, Pat and Huang, Qixing and Li, Zimo and Savarese, Silvio and Savva, Manolis and Song, Shuran and Su, Hao and Xiao, Jianxiong and Yi, Li and Yu, Fisher},\n  number      = {arXiv:1512.03012 [cs.GR]},\n  institution = {Stanford University --- Princeton University --- Toyota Technological Institute at Chicago},\n  year        = {2015}\n}\n\n@inproceedings{mo2019partnet,\n  title={{PartNet}: A large-scale benchmark for fine-grained and hierarchical part-level {3D} object understanding},\n  author={Mo, Kaichun and Zhu, Shilin and Chang, Angel X and Yi, Li and Tripathi, Subarna and Guibas, Leonidas J and Su, Hao},\n  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},\n  pages={909--918},\n  year={2019}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "18b21e20312c89917d765b8572eda2079f82bb7b",
 "stated_evidence": "https://huggingface.co/datasets/ShapeNet/PartNet-archive/blob/18b21e20312c89917d765b8572eda2079f82bb7b/README.md",
 "file_evidence": "https://huggingface.co/datasets/ShapeNet/PartNet-archive/tree/18b21e20312c89917d765b8572eda2079f82bb7b",
 "card_nc": false
}