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SciKnowOrg/ontolearner-materials_science_and_engineering

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The declared licence (mit) is classified as permissive.

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mit, from the tagEvidence: README.md at 72ee457
Licence files
No licence file at the top level of the repositoryEvidence: file list at 72ee457
Declared sources
None listed in the card metadata
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No
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Citation text from the card

@inproceedings{babaei2023llms4ol,
  title={LLMs4OL: Large language models for ontology learning},
  author={Babaei Giglou, Hamed and D’Souza, Jennifer and Auer, S{"o}ren},
  booktitle={International Semantic Web Conference},
  pages={408--427},
  year={2023},
  organization={Springer}
}

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dataset_licence({ "id": "SciKnowOrg/ontolearner-materials_science_and_engineering" })
signal: "permissive"
stated_licence: "mit"
sources: 0