Cited by 69Information Retrieval and Search BehaviorWeb Data Mining and AnalysisTopic Modeling

ClueWeb22: 10 Billion Web Documents with Rich Information

Overwijk, Arnold, Xiong, Chenyan, Callan, Jamie·2022·Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Abstract

ClueWeb22, the newest iteration of the ClueWeb line of datasets, is the result of more than a year of collaboration between industry and academia. Its design is influenced by the research needs of the academic community and the real-world needs of large-scale industry systems. Compared with earlier ClueWeb datasets, the ClueWeb22 corpus is larger, more varied, and has higher-quality documents. Its core is raw HTML, but it includes clean text versions of documents to lower the barrier to entry. Several aspects of ClueWeb22 are available to the research community for the first time at this scale, for example, visual representations of rendered web pages, parsed structured information from the HTML document, and the alignment of document distributions (domains, languages, and topics) to commercial web search.

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Crossref · 10.1145/3477495.3536321

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2 of 2 references verified0 citation errors · 0 not checkable

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Authors
Overwijk, A., Xiong, C., & Callan, J.
Affiliations
  • Microsoft (United States) (US)
  • Carnegie Mellon University (US)
Venue
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher
ACM
Published
2022-07-06
Pages
3360-3362
OpenAlex
W4284691825
Cited by
64
References
2
Citations by year
2026: 6 · 2025: 20 · 2024: 31 · 2023: 7
FWCI
12.97
Type
conference paper
Language
en
Open access
closed
Locations
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (publishedVersion)
Funders
NSF (National Science Foundation) (NS-1822975 and CNS-182298)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
Keywords
web corpus, HTML documents, structured data extraction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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