MADLAD-400
- huggingface.co
- opendatalab.com
Updated Oct 30, 2023
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EmailClick to copy linkLink copiedCiteAi2 (2023). MADLAD-400 [Dataset]. https://huggingface.co/datasets/allenai/MADLAD-400Dataset updatedOct 30, 2023AuthorsAi2Licensehttps://choosealicense.com/licenses/odc-by/https://choosealicense.com/licenses/odc-by/
DescriptionMADLAD-400
Dataset and IntroductionMADLAD-400 (Multilingual Audited Dataset: Low-resource And Document-level) is a document-level multilingual dataset based on Common Crawl, covering 419 languages in total. This uses all snapshots of CommonCrawl available as of August 1, 2022. The primary advantage of this dataset over similar datasets is that it is more multilingual (419 languages), it is audited and more highly filtered, and it is document-level. The main disadvantage… See the full description on the dataset page: https://huggingface.co/datasets/allenai/MADLAD-400.
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madlad-400_vi
- huggingface.co
Updated Oct 1, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteSymato Team (2024). madlad-400_vi [Dataset]. https://huggingface.co/datasets/Symato/madlad-400_viCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 1, 2024Dataset authored and provided bySymato TeamLicensehttps://choosealicense.com/licenses/odc-by/https://choosealicense.com/licenses/odc-by/
DescriptionMADLAD-400
Dataset and IntroductionMADLAD-400 (Multilingual Audited Dataset: Low-resource And Document-level) is a document-level multilingual dataset based on Common Crawl, covering 419 languages in total. This uses all snapshots of CommonCrawl available as of August 1, 2022. The primary advantage of this dataset over similar datasets is that it is more multilingual (419 languages), it is audited and more highly filtered, and it is document-level. The main disadvantage… See the full description on the dataset page: https://huggingface.co/datasets/Symato/madlad-400_vi.
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MADLAD-400
Dataset and Introduction
MADLAD-400 (Multilingual Audited Dataset: Low-resource And Document-level) is a document-level multilingual dataset based on Common Crawl, covering 419 languages in total. This uses all snapshots of CommonCrawl available as of August 1, 2022. The primary advantage of this dataset over similar datasets is that it is more multilingual (419 languages), it is audited and more highly filtered, and it is document-level. The main disadvantage… See the full description on the dataset page: https://huggingface.co/datasets/allenai/MADLAD-400.