{
 "id": "ailsntua/QEvasion",
 "owner": "ailsntua",
 "name": "QEvasion",
 "downloads": 1489,
 "likes": 7,
 "last_modified": "2025-10-01T10:13:06.000Z",
 "stated_licence": "cc-by-nc-nd-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
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 "gated": false,
 "tasks": [
  "question-answering",
  "summarization",
  "text-classification"
 ],
 "citation": ">@inproceedings{thomas-etal-2024-never,\n    title = \"{''}{I} Never Said That{''}: A dataset, taxonomy and baselines on response clarity classification\",\n    author = \"Thomas, Konstantinos  and\n      Filandrianos, Giorgos  and\n      Lymperaiou, Maria  and\n      Zerva, Chrysoula  and\n      Stamou, Giorgos\",\n    editor = \"Al-Onaizan, Yaser  and\n      Bansal, Mohit  and\n      Chen, Yun-Nung\",\n    booktitle = \"Findings of the Association for Computational Linguistics: EMNLP 2024\",\n    month = nov,\n    year = \"2024\",\n    address = \"Miami, Florida, USA\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2024.findings-emnlp.300\",\n    doi = \"10.18653/v1/2024.findings-emnlp.300\",\n    pages = \"5204--5233\",\n    abstract = \"Equivocation and ambiguity in public speech are well-studied discourse phenomena, especially in political science and analysis of political interviews. Inspired by the well-grounded theory on equivocation, we aim to resolve the closely related problem of response clarity in questions extracted from political interviews, leveraging the capabilities of Large Language Models (LLMs) and human expertise. To this end, we introduce a novel taxonomy that frames the task of detecting and classifying response clarity and a corresponding clarity classification dataset which consists of question-answer (QA) pairs drawn from political interviews and annotated accordingly. Our proposed two-level taxonomy addresses the clarity of a respo",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-nd-4.0) is classified as having use restrictions.",
 "revision": "3afc18f0b582b3cfdb927822cff57ddc6e871f9c",
 "stated_evidence": "https://huggingface.co/datasets/ailsntua/QEvasion/blob/3afc18f0b582b3cfdb927822cff57ddc6e871f9c/README.md",
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 "card_nc": false
}