lmb-freiburg/entitynet

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 54a3444
Licence files: No licence file at the top level of the repositoryEvidence: file list at 54a3444
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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{ging2026entitynet,
  author    = {Simon Ging and Sebastian Walter and Jelena Bratuli{\'c} and Johannes Dienert and Hannah Bast and Thomas Brox},
  title     = {Using Knowledge Graphs to Harvest Datasets for Efficient {CLIP} Model Training},
  booktitle = {Pattern Recognition, 47th {DAGM} German Conference, {DAGM} {GCPR} 2025, Freiburg, Germany, September 23--26, 2025, Proceedings},
  series    = {Lecture Notes in Computer Science},
  publisher = {Springer Nature Switzerland},
  year      = {2026},
  pages     = {287--302},
  isbn      = {978-3-032-12840-9},
  doi       = {10.1007/978-3-032-12840-9_19}
}

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dataset_licence({ "id": "lmb-freiburg/entitynet" })
signal: "permissive"
stated_licence: "mit"
sources: 0