XXHStudyHard/EnvScaler-RL-Scenario

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at a140615
Licence files: No licence file at the top level of the repositoryEvidence: file list at a140615
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@article{song2026envscaler,
  title={EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis},
  author={Song, Xiaoshuai and Chang, Haofei and Dong, Guanting and Zhu, Yutao and Dou, Zhicheng and Wen, Ji-Rong},
  journal={arXiv preprint arXiv:2601.05808},
  year={2026}
}

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dataset_licence({ "id": "XXHStudyHard/EnvScaler-RL-Scenario" })
signal: "permissive"
stated_licence: "mit"
sources: 0