{
 "id": "Akram07/ArabCulture-Dialogue",
 "owner": "Akram07",
 "name": "ArabCulture-Dialogue",
 "downloads": 85,
 "likes": 0,
 "last_modified": "2026-10-15T20:11:46.000Z",
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 "stated_from": "tag",
 "licence_name": null,
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 "tasks": [
  "question-answering",
  "translation",
  "text-generation"
 ],
 "citation": "@inproceedings{al-kautsar-etal-2026-cultural,\n    title = \"Cultural Benchmarking of {LLM}s in Standard and Dialectal {A}rabic Dialogues\",\n    author = \"Al Kautsar, Muhammad Dehan  and\n      Almheiri, Saeed  and\n      Ahsan, Momina  and\n      Elbouardi, Bilal  and\n      Samih, Younes  and\n      Ahmad, Sarfraz  and\n      Keleg, Amr  and\n      El Herraoui, Omar  and\n      Elzeky, Kareem  and\n      Freihat, Abed Alhakim  and\n      Anwar, Mohamed  and\n      Xie, Zhuohan  and\n      Liang, Junhong  and\n      Al Nasar, Mohammad Rustom  and\n      Nakov, Preslav  and\n      Koto, Fajri\",\n    editor = \"Liakata, Maria  and\n      Moreira, Viviane P.  and\n      Zhang, Jiajun  and\n      Jurgens, David\",\n    booktitle = \"Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)\",\n    month = jul,\n    year = \"2026\",\n    address = \"San Diego, California, United States\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2026.acl-long.963/\",\n    doi = \"10.18653/v1/2026.acl-long.963\",\n    pages = \"21016--21039\",\n    ISBN = \"979-8-89176-390-6\",\n    abstract = \"There is a significant gap in evaluating cultural reasoning in LLMs using conversational datasets that capture culturally rich and dialectal contexts. Most Arabic benchmarks focus on short text snippets in Modern Standard Arabic (MSA), overlooking the cultural nuances that naturally arise in dialogues. To address this gap, we introduce A",
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 "revision": "c86cf60e04f3ae34ec136256b604efa109e7f5bf",
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