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README.md
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- text-generation
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size_categories:
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- n>1T
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---
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# MADLAD-400
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## Dataset and Introduction
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MADLAD-400 (*Multilingual Audited Dataset: Low-resource And Document-level*) is
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a document-level multilingual dataset based on Common Crawl, covering 419
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languages in total. We use all snapshots of CommonCrawl available as of August
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1, 2022. The primary advantage of this dataset over similar datasets is that it
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is more multilingual (419 languages), it is audited and more highly filtered,
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and it is document-level. The main disadvantage is also its strength -- being
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more filtered, it may lack the recall needed for some applications.
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There are two versions released: the **noisy** dataset, which has no filtering
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except document-level LangID, and the **clean** dataset, which has a variety of
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- text-generation
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size_categories:
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- n>1T
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---
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# MADLAD-400
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## Dataset and Introduction
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[MADLAD-400 (*Multilingual Audited Dataset: Low-resource And Document-level*)](https://arxiv.org/abs/2309.04662) is
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a document-level multilingual dataset based on Common Crawl, covering 419
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languages in total. We use all snapshots of CommonCrawl available as of August
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1, 2022. The primary advantage of this dataset over similar datasets is that it
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is more multilingual (419 languages), it is audited and more highly filtered,
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and it is document-level. The main disadvantage is also its strength -- being
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more filtered, it may lack the recall needed for some applications.
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20 |
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There are two versions released: the **noisy** dataset, which has no filtering
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except document-level LangID, and the **clean** dataset, which has a variety of
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