{
 "id": "creative-graphic-design/PubLayNet",
 "owner": "creative-graphic-design",
 "name": "PubLayNet",
 "downloads": 5564,
 "likes": 11,
 "last_modified": "2026-06-26T10:12:55.000Z",
 "stated_licence": "cdla-permissive-1.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "object-detection",
  "image-segmentation"
 ],
 "citation": "@inproceedings{zhong2019publaynet,\n  title={Publaynet: largest dataset ever for document layout analysis},\n  author={Zhong, Xu and Tang, Jianbin and Yepes, Antonio Jimeno},\n  booktitle={2019 International Conference on Document Analysis and Recognition (ICDAR)},\n  pages={1015--1022},\n  year={2019}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "4bfc1ae32abdad8953c0b81e5cdf236f1745de50",
 "stated_evidence": "https://huggingface.co/datasets/creative-graphic-design/PubLayNet/blob/4bfc1ae32abdad8953c0b81e5cdf236f1745de50/README.md",
 "file_evidence": "https://huggingface.co/datasets/creative-graphic-design/PubLayNet/tree/4bfc1ae32abdad8953c0b81e5cdf236f1745de50",
 "card_nc": false
}