{
 "id": "imDalton/cutclean-datasets",
 "owner": "imDalton",
 "name": "cutclean-datasets",
 "downloads": 47,
 "likes": 0,
 "last_modified": "2026-08-16T10:24:15.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "mixed-see-provenance",
 "licence_link": "https://doi.org/10.1007/978-3-032-31452-9_30",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification"
 ],
 "citation": "@inproceedings{magliolo2026cutclean,\n  author    = {Magliolo, Leonardo and Pastore, Vito Paolo and Valenzise, Giuseppe and Tartaglione, Enzo},\n  title     = {CutClean: Neural Network Pruning for Privacy-Preserving Inference},\n  booktitle = {Pattern Recognition -- 28th International Conference on Pattern Recognition, {ICPR} 2026, Lyon, France, August 17--22, 2026, Proceedings},\n  series    = {Lecture Notes in Computer Science},\n  publisher = {Springer Nature Switzerland},\n  year      = {2026},\n  pages     = {450--465},\n  doi       = {10.1007/978-3-032-31452-9_30}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "1df6d00e4679a5d20d6c928bf2e2887ea13a5910",
 "stated_evidence": "https://huggingface.co/datasets/imDalton/cutclean-datasets/blob/1df6d00e4679a5d20d6c928bf2e2887ea13a5910/README.md",
 "file_evidence": "https://huggingface.co/datasets/imDalton/cutclean-datasets/tree/1df6d00e4679a5d20d6c928bf2e2887ea13a5910",
 "card_nc": false
}