{
 "id": "AmazonScience/PersonaLens",
 "owner": "AmazonScience",
 "name": "PersonaLens",
 "downloads": 991,
 "likes": 2,
 "last_modified": "2025-08-20T17:00:15.000Z",
 "stated_licence": "cc-by-nc-4.0",
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 "licence_link": null,
 "file_licence": "cc-by-nc-4.0",
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 "tasks": [
  "text-generation"
 ],
 "citation": "@inproceedings{zhao-etal-2025-personalens,\n    title = \"{P}ersona{L}ens: A Benchmark for Personalization Evaluation in Conversational {AI} Assistants\",\n    author = \"Zhao, Zheng  and\n      Vania, Clara  and\n      Kayal, Subhradeep  and\n      Khan, Naila  and\n      Cohen, Shay B  and\n      Yilmaz, Emine\",\n    editor = \"Che, Wanxiang  and\n      Nabende, Joyce  and\n      Shutova, Ekaterina  and\n      Pilehvar, Mohammad Taher\",\n    booktitle = \"Findings of the Association for Computational Linguistics: ACL 2025\",\n    month = jul,\n    year = \"2025\",\n    address = \"Vienna, Austria\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2025.findings-acl.927/\",\n    doi = \"10.18653/v1/2025.findings-acl.927\",\n    pages = \"18023--18055\",\n    ISBN = \"979-8-89176-256-5\",\n    abstract = \"Large language models (LLMs) have advanced conversational AI assistants. However, systematically evaluating how well these assistants apply personalization{---}adapting to individual user preferences while completing tasks{---}remains challenging. Existing personalization benchmarks focus on chit-chat, non-conversational tasks, or narrow domains, failing to capture the complexities of personalized task-oriented assistance. To address this, we introduce PersonaLens, a comprehensive benchmark for evaluating personalization in task-oriented AI assistants. Our benchmark features diverse user profiles equipped with rich preferences and interaction histories, along wit",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "1d4491608527a173585c05b7ffadeede4c59fb75",
 "stated_evidence": "https://huggingface.co/datasets/AmazonScience/PersonaLens/blob/1d4491608527a173585c05b7ffadeede4c59fb75/README.md",
 "file_evidence": "https://huggingface.co/datasets/AmazonScience/PersonaLens/blob/1d4491608527a173585c05b7ffadeede4c59fb75/LICENSE.md",
 "card_nc": false
}