{
 "id": "replica-agents/VFDR-BENCH",
 "owner": "replica-agents",
 "name": "VFDR-BENCH",
 "downloads": 25,
 "likes": 1,
 "last_modified": "2026-08-31T23:43:37.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-to-text",
  "document-question-answering"
 ],
 "citation": "@InProceedings{Raghuveer_2027_REPLICA,\n    author    = {Raghuveer, R. and Srinivasan, Anirudh and Venna, Venkata Kesav and Sreevatsa, S. and Jain, Aryan and Kukkala, Sahithi and Sarvadevabhatla, Ravi Kiran},\n    editor    = {Fink, Gernot A. and Forn{\\'e}s, Alicia and Kise, Koichi and Lopresti, Daniel},\n    title     = {REPLICA: An Agentic Framework for Visually Faithful Document Reconstruction},\n    booktitle = {Document Analysis and Recognition -- ICDAR 2026},\n    year      = {2027},\n    publisher = {Springer Nature Switzerland},\n    address   = {Cham},\n    pages     = {505--522},\n    isbn      = {978-3-032-36023-6},\n    doi       = {10.1007/978-3-032-36023-6_29},\n    url       = {https://doi.org/10.1007/978-3-032-36023-6_29}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "8c4b6d2f002634e76d0b06fc893577e44771ee05",
 "stated_evidence": "https://huggingface.co/datasets/replica-agents/VFDR-BENCH/blob/8c4b6d2f002634e76d0b06fc893577e44771ee05/README.md",
 "file_evidence": "https://huggingface.co/datasets/replica-agents/VFDR-BENCH/tree/8c4b6d2f002634e76d0b06fc893577e44771ee05",
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}