google/smol
Permissive or share-alike
The declared licence (cc-by-4.0) is classified as permissive.
Licence facts reported by the dataset and its declared sources. Not legal advice, and not a grant of permission to use the dataset.
Evidence
- Declared licence: cc-by-4.0 (from the tag)
- Licence files: no licence file at the top level of the repository
- Access gated on Hugging Face: no
Declared sources
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Signal
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Tasks
Citation text from the card
@misc{caswell2025smol,
title={{SMOL: Professionally translated parallel data for 115 under-represented languages}},
author={Isaac Caswell and Elizabeth Nielsen and Jiaming Luo and Colin Cherry and Geza Kovacs and Hadar Shemtov and Partha Talukdar and Dinesh Tewari and Baba Mamadi Diane and Koulako Moussa Doumbouya and Djibrila Diane and Solo Farabado Cissé and Edoardo Ferrante and Alessandro Guasoni and Mamadou K. Keita and Sudhamoy DebBarma and Ali Kuzhuget and David Anugraha and Muhammad Ravi Shulthan Habibi and Sina Ahmadi and Mingfei Lau and Jonathan Eng},
year={2025},
eprint={2502.12301},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2502.12301},
}
@inproceedings{jones-etal-2023-gatitos,
title = {{"GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation"}},
author = "Jones, Alexander and
Caswell, Isaac and
Firat, Orhan and
Saxena, Ishank",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.emnlp-main.26/",
doi = "10.18653/v1/2023.emnlp-main.26",
pages = "371--405",
abstract = "Modern machine translation models and language models are able to transla
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