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CopyCat: Near-Duplicates Within and Between the ClueWeb and the Common Crawl

Maik Fröbe, Janek Bevendorff, Lukas Gienapp, Michael Völske, Benno Stein, Martin Potthast, Matthias Hagen

202119 citationsDOI

Abstract

The amount of near-duplicates in web crawls like the ClueWeb or Common Crawl demands from their users either to develop a preprocessing pipeline for deduplication, which is costly both computationally and in person hours, or accepting the undesired effects that near-duplicates have on reliability and validity of experiments. We introduce ChatNoir-CopyCat-21, which simplifies deduplication significantly. It comes in two parts: (1) A compilation of near-duplicate documents within the ClueWeb09, the ClueWeb12, and two Common Crawl snapshots, as well as between selections of these crawls, and (2) a software library that implements the deduplication of arbitrary document sets. Our analysis shows that 14--52, of the documents within a crawl and around~0.7--2.5, between the crawls are near-duplicates. Two showcases demonstrate the application and usefulness of our resource.

Topics & Concepts

Computer scienceData deduplicationCopycatPipeline (software)PreprocessorInformation retrievalCrawlingDatabaseHeaderSoftwareData miningWeb crawlerWorld Wide WebArtificial intelligenceOperating systemComputer networkMedicineAnatomySoftware Engineering ResearchWeb Application Security VulnerabilitiesData Quality and Management
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