AST-FRI/EnterpriseBench

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 235874c
Licence files: No licence file at the top level of the repositoryEvidence: file list at 235874c
Declared sources: None listed in the card metadata
Access gated on Hugging Face: Yes

Each cell links to what was checked: a file, a file list or a Hub record.

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Citation text from the card

@inproceedings{vishwakarma-etal-2025-llms,
    title = "Can {LLM}s Help You at Work? A Sandbox for Evaluating {LLM} Agents in Enterprise Environments",
    author = "Vishwakarma, Harsh  and
      Agarwal, Ankush  and
      Patil, Ojas  and
      Devaguptapu, Chaitanya  and
      Chandran, Mahesh",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.emnlp-main.466/",
    pages = "9178--9212",
    ISBN = "979-8-89176-332-6",
}

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dataset_licence({ "id": "AST-FRI/EnterpriseBench" })
signal: "permissive"
stated_licence: "mit"
sources: 0