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GenerTeam/pretrain_data_eukaryote
The declared licence (mit) is classified as permissive.
- Declared licence
- mit, from the tagEvidence: README.md at 76cf529
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 76cf529
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@article {li2026generator2,
author = {Li, Qiuyi and Zhan, Zhihao and Feng, Shikun and Zhu, Yiheng and He, Yuan and Wu, Wei and Shi, Zhenghang and Wang, Shengjie and Hu, Zongyong and Yang, Zhao and Li, Jiaoyang and Tang, Jian and Liu, Haiguang and Qin, Tao},
title = {GENERator-v2: Reconciling Coarse Tokenization with Single-Nucleotide Resolution in Genomic Language Modeling},
elocation-id = {2026.01.27.702015},
year = {2026},
doi = {10.64898/2026.01.27.702015},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2026/05/04/2026.01.27.702015},
journal = {bioRxiv}
}
@article{wu2025generator,
title={GENERator: a long-context generative genomic foundation model},
author={Wu, Wei and Li, Qiuyi and Li, Mingyang and Fu, Kun and Feng, Fuli and Ye, Jieping and Xiong, Hui and Wang, Zheng},
journal={arXiv preprint arXiv:2502.07272},
year={2025}
}
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "GenerTeam/pretrain_data_eukaryote" })
signal: "permissive"
stated_licence: "mit"
sources: 0