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GSMA/ot-lite

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The declared licence (mit) is classified as permissive.

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mit, from the tagEvidence: README.md at 1c0f2ea
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No licence file at the top level of the repositoryEvidence: file list at 1c0f2ea
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Citation text from the card

@misc{maatouk2023teleqna,
  title={TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge},
  author={Maatouk, Ali and Ayed, Fadhel and Piovesan, Nicola and De Domenico, Antonio and Debbah, Merouane and Luo, Zhi-Quan},
  year={2023}, eprint={2310.15051}, archivePrefix={arXiv}
}

@misc{ezzakri2025teletables,
  title={TeleTables: A Benchmark for Large Language Models in Telecom Table Interpretation},
  author={Ezzakri, Anas and Piovesan, Nicola and Sana, Mohamed and De Domenico, Antonio and Ayed, Fadhel and Zhang, Haozhe},
  year={2025}, eprint={2601.04202}, archivePrefix={arXiv}
}

@misc{colle2025telemath,
  title={TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving},
  author={Colle, Vincenzo and Sana, Mohamed and Piovesan, Nicola and De Domenico, Antonio and Ayed, Fadhel and Debbah, Merouane},
  year={2025}, eprint={2506.10674}, archivePrefix={arXiv}
}

@misc{sana2025telelogs,
  title={Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks},
  author={Sana, Mohamed and Piovesan, Nicola and De Domenico, Antonio and Kang, Yibin and Zhang, Haozhe and Debbah, Merouane and Ayed, Fadhel},
  year={2025}, eprint={2507.21974}, archivePrefix={arXiv}
}

@misc{zou2024telecomgpt,
  title={TelecomGPT: A Framework to Build Telecom-Specific Large Language Models},
  author={Zou, Hang and Zhao, Qiyang and Tian, Yu and Bariah, Lina and Bader, Faouzi and Lestable, Thierry and Debbah, Merouane},
  year={20

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dataset_licence({ "id": "GSMA/ot-lite" })
signal: "permissive"
stated_licence: "mit"
sources: 0