{
 "id": "t6harsh/contextual-deception-detection",
 "owner": "t6harsh",
 "name": "contextual-deception-detection",
 "downloads": 21,
 "likes": 0,
 "last_modified": "2026-05-03T07:01:22.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification",
  "text-generation"
 ],
 "citation": "@inproceedings{condec2025,\n  title={Detecting Contextual Deception: A Benchmark for Identifying \n         Technically-True-but-Misleading Claims in Scientific ML Papers},\n  author={Anonymous},\n  booktitle={Proceedings of ACL},\n  year={2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "524740c37e687c568669813411e1b9b59136e842",
 "stated_evidence": "https://huggingface.co/datasets/t6harsh/contextual-deception-detection/blob/524740c37e687c568669813411e1b9b59136e842/README.md",
 "file_evidence": "https://huggingface.co/datasets/t6harsh/contextual-deception-detection/tree/524740c37e687c568669813411e1b9b59136e842",
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}