{
 "id": "jensenlx/FraudRecon",
 "owner": "jensenlx",
 "name": "FraudRecon",
 "downloads": 21,
 "likes": 1,
 "last_modified": "2026-10-31T11:36:21.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": "cc-by-4.0",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": "manual",
 "tasks": [
  "audio-classification",
  "text-classification"
 ],
 "citation": "If you use FraudRecon, cite:\n\n    @inproceedings{liu2026fraudrecon,\n      title     = {Every Victim Tells a Dialogue: Reconstructing 80K\n                   Audio-Text Anti-Fraud Conversations from Case Narratives},\n      author    = {Jingxuan Liu and Haoyang He and Xuan Yang and Shuyuan Zhu\n                   and Ke Li and Hong Wu and Lan Yang and Jian Chang\n                   and Honggang Zhang},\n      booktitle = {Proceedings of the 34th ACM International Conference on\n                   Multimedia},\n      year      = {2026},\n      doi       = {10.1145/3767308.3835796}\n    }",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "640d0d53c0f96f5e5827de907264372a34200363",
 "stated_evidence": "https://huggingface.co/datasets/jensenlx/FraudRecon/blob/640d0d53c0f96f5e5827de907264372a34200363/README.md",
 "file_evidence": "https://huggingface.co/datasets/jensenlx/FraudRecon/blob/640d0d53c0f96f5e5827de907264372a34200363/LICENSE",
 "card_nc": false
}