All datasets / LLaMAX
LLaMAX/bilingual_zh_en
The declared licence (mit) is classified as permissive.
- Declared licence
- mit, from the tagEvidence: README.md at 15e55b4
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 15e55b4
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@inproceedings{yuan-etal-2023-lego,
title = "{L}ego-{MT}: Learning Detachable Models for Massively Multilingual Machine Translation",
author = "Yuan, Fei and Lu, Yinquan and Zhu, Wenhao and Kong, Lingpeng and Li, Lei and Qiao, Yu and Xu, Jingjing",
editor = "Rogers, Anna and Boyd-Graber, Jordan and Okazaki, Naoaki",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-acl.731/",
doi = "10.18653/v1/2023.findings-acl.731",
pages = "11518--11533"
}
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dataset_licence({ "id": "LLaMAX/bilingual_zh_en" })
signal: "permissive"
stated_licence: "mit"
sources: 0