{
 "id": "abdoelsayed/CORU",
 "owner": "abdoelsayed",
 "name": "CORU",
 "downloads": 3496,
 "likes": 18,
 "last_modified": "2025-06-19T11:29:56.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "object-detection",
  "text-classification",
  "zero-shot-classification"
 ],
 "citation": "@article{abdallah2024receiptsense,\n    title={ReceiptSense: Beyond Traditional OCR - A Dataset for Receipt Understanding},\n    author={Abdelrahman Abdallah and Mahmoud Abdalla and Mahmoud SalahEldin Kasem and Mohamed Mahmoud and Ibrahim Abdelhalim and Mohamed Elkasaby and Yasser Elbendary and Adam Jatowt},\n    year={2024},\n    journal={ACM Conference Proceedings},\n    note={Comprehensive multilingual receipt understanding dataset}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "c3c4b97b232bbe03046c78a974f516d439c1124e",
 "stated_evidence": "https://huggingface.co/datasets/abdoelsayed/CORU/blob/c3c4b97b232bbe03046c78a974f516d439c1124e/README.md",
 "file_evidence": "https://huggingface.co/datasets/abdoelsayed/CORU/tree/c3c4b97b232bbe03046c78a974f516d439c1124e",
 "card_nc": false
}