{
 "id": "netop/TeleQnA",
 "owner": "netop",
 "name": "TeleQnA",
 "downloads": 230,
 "likes": 25,
 "last_modified": "2025-06-17T13:28:50.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": "mit",
 "licence_files": [
  "LICENSE.txt"
 ],
 "sources": [],
 "gated": "auto",
 "tasks": [
  "question-answering"
 ],
 "citation": "If you would like to use the data or code, please cite the paper:\n\n```\n@article{maatouk2025teleqna,\n      title={TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge}, \n      author={Maatouk, Ali and Ayed, Fadhel and Piovesan, Nicola and De Domenico, Antonio and Debbah, Merouane and Luo, Zhi-Quan},\n      journal={IEEE Network},\n      year={2025}, \n      publisher={IEEE}\n     }\n```",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "0eba715a43f0ab7e4d9d7e09ceb258642a149391",
 "stated_evidence": "https://huggingface.co/datasets/netop/TeleQnA/blob/0eba715a43f0ab7e4d9d7e09ceb258642a149391/README.md",
 "file_evidence": "https://huggingface.co/datasets/netop/TeleQnA/blob/0eba715a43f0ab7e4d9d7e09ceb258642a149391/LICENSE.txt",
 "card_nc": false
}