{
 "id": "docling-project/DocLayNet-v1.1",
 "owner": "docling-project",
 "name": "DocLayNet-v1.1",
 "downloads": 2171,
 "likes": 28,
 "last_modified": "2023-09-01T09:58:52.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "object-detection",
  "image-segmentation"
 ],
 "citation": "```bib\n@article{doclaynet2022,\n  title = {DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation},\n  doi = {10.1145/3534678.353904},\n  url = {https://doi.org/10.1145/3534678.3539043},\n  author = {Pfitzmann, Birgit and Auer, Christoph and Dolfi, Michele and Nassar, Ahmed S and Staar, Peter W J},\n  year = {2022},\n  isbn = {9781450393850},\n  publisher = {Association for Computing Machinery},\n  address = {New York, NY, USA},\n  booktitle = {Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},\n  pages = {3743–3751},\n  numpages = {9},\n  location = {Washington DC, USA},\n  series = {KDD '22}\n}\n```",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "5e89392376049f4d589ea339ed64468310ed5c3f",
 "stated_evidence": "https://huggingface.co/datasets/docling-project/DocLayNet-v1.1/blob/5e89392376049f4d589ea339ed64468310ed5c3f/README.md",
 "file_evidence": "https://huggingface.co/datasets/docling-project/DocLayNet-v1.1/tree/5e89392376049f4d589ea339ed64468310ed5c3f",
 "card_nc": false
}