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  1. Webis Query-Task-Mapping Corpus 2019 (Webis-QTM-19)

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    Updated Jan 24, 2020
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Michael Völske; Michael Völske; Matthias Hagen; Matthias Hagen; Benno Stein; Benno Stein (2020). Webis Query-Task-Mapping Corpus 2019 (Webis-QTM-19) [Dataset]. http://doi.org/10.5281/zenodo.3257431
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Webis Query-Task-Mapping Corpus 2019 (Webis-QTM-19)

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Dataset updated
Jan 24, 2020
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Michael Völske; Michael Völske; Matthias Hagen; Matthias Hagen; Benno Stein; Benno Stein
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The Webis Query-Task-Mapping Corpus 2019 (Webis-QTM-19) comprises three benchmark datasets on the query-task-mapping problem, which consists of finding the correct task for a new query in a given task-split background query log.

It comprises three subdatasets in separate CSV files, each of which has three columns:

  • Query. The query string.
  • Source. The source of the query. In all datasets, a source field with value 'google' or 'bing' indicates that the query was derived from query suggestions from the respective search engine; otherwise, the query is from one of the underlying base corpora:
    • 'lucc' : lucchese:2011
    • 'webis' : stein:2013b
    • 'trc' : stein:2016a
    • 'trec' : various collections of TREC queries
    • 'wikihow' : based on titles of wikiHow questions
  • Task. The ID of the ground-truth task for the corresponding query.


Further details can be found in reference:
Michael Völske, Ehsan Fatehifar, Benno Stein, and Matthias Hagen. Query-Task Mapping. In 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), July 2019. ACM.
http://doi.acm.org/10.1145/3331184.3331286

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