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Whats in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus

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 نشر من قبل Joseph Viviano
 تاريخ النشر 2021
  مجال البحث الهندسة المعلوماتية
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Whereas much of the success of the current generation of neural language models has been driven by increasingly large training corpora, relatively little research has been dedicated to analyzing these massive sources of textual data. In this exploratory analysis, we delve deeper into the Common Crawl, a colossal web corpus that is extensively used for training language models. We find that it contains a significant amount of undesirable content, including hate speech and sexually explicit content, even after filtering procedures. We discuss the potential impacts of this content on language models and conclude with future research directions and a more mindful approach to corpus collection and analysis.



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