{
 "id": "KlyaT/mit-adobe-fivek",
 "owner": "KlyaT",
 "name": "mit-adobe-fivek",
 "downloads": 713,
 "likes": 0,
 "last_modified": "2025-12-21T16:59:20.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "adobe-mit",
 "licence_link": "LICENSE.md",
 "file_licence": null,
 "licence_files": [
  "LICENSE.md"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-to-image",
  "feature-extraction"
 ],
 "citation": "<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->\n\n**BibTeX:**\n\n@inproceedings{fivek,\n\tauthor = \"Vladimir Bychkovsky and Sylvain Paris and Eric Chan and Fr{\\'e}do Durand\",\n\ttitle = \"Learning Photographic Global Tonal Adjustment with a Database of Input / Output Image Pairs\",\n\tbooktitle = \"The Twenty-Fourth IEEE Conference on Computer Vision and Pattern Recognition\",\n\tyear = \"2011\"\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "8d4decdc45fec733725837bf5c94b4c994fae4ae",
 "stated_evidence": "https://huggingface.co/datasets/KlyaT/mit-adobe-fivek/blob/8d4decdc45fec733725837bf5c94b4c994fae4ae/README.md",
 "file_evidence": "https://huggingface.co/datasets/KlyaT/mit-adobe-fivek/blob/8d4decdc45fec733725837bf5c94b4c994fae4ae/LICENSE.md",
 "card_nc": false
}