ComplexDataLab/MLSNT

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at ad2bfd4
Licence files: No licence file at the top level of the repositoryEvidence: file list at ad2bfd4
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

If you use MLSNT in academic work, please cite:

```bibtex
@inproceedings{yang2025mlsnt,
  title={Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection},
  author={Zachary Yang and Domenico Tullo and Reihaneh Rabbany},
  booktitle={Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  year={2025}
}

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dataset_licence({ "id": "ComplexDataLab/MLSNT" })
signal: "permissive"
stated_licence: "mit"
sources: 0