{
 "id": "iampom/WEAR-PD",
 "owner": "iampom",
 "name": "WEAR-PD",
 "downloads": 37,
 "likes": 0,
 "last_modified": "2026-05-23T09:46:40.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [
  "LICENSE.md"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "tabular-regression"
 ],
 "citation": "If you find this dataset useful, please cite:\n\n```bibtex\n@ARTICLE{FFGLC2026,\n  author={Okamoto, Shun and Iizuka, Satoshi and Fukui, Kazuhiro},\n  journal={IEEE Access}, \n  title={Fine-Grained Fashion Feature Embedding for Global, Local, and Contextual Analysis in Fashion Social Media Popularity Prediction}, \n  year={2026},\n  volume={14},\n  number={},\n  pages={75674-75689},\n  doi={10.1109/ACCESS.2026.3694039}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "4a21e8c2aaf7fdcc2946f7d440816e530790a8a2",
 "stated_evidence": "https://huggingface.co/datasets/iampom/WEAR-PD/blob/4a21e8c2aaf7fdcc2946f7d440816e530790a8a2/README.md",
 "file_evidence": "https://huggingface.co/datasets/iampom/WEAR-PD/blob/4a21e8c2aaf7fdcc2946f7d440816e530790a8a2/LICENSE.md",
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}