6 datasets found
  1. W

    Data from: Webis-Web-Archive-17

    • webis.de
    1002203
    Updated 2017
    + more versions
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    Johannes Kiesel; Martin Potthast; Matthias Hagen; Benno Stein; Florian Kneist (2017). Webis-Web-Archive-17 [Dataset]. http://doi.org/10.5281/zenodo.1002203
    Explore at:
    1002203Available download formats
    Unique identifier
    https://doi.org/10.5281/zenodo.1002203
    Dataset updated
    2017
    Dataset provided by
    University of Kassel, hessian.AI, and ScaDS.AI
    Friedrich Schiller University Jena
    GESIS - Leibniz Institute for the Social Sciences
    Bauhaus-Universität Weimar
    The Web Technology & Information Systems Network
    Authors
    Johannes Kiesel; Martin Potthast; Matthias Hagen; Benno Stein; Florian Kneist
    License

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

    Description

    The Webis-Web-Archive-17 comprises a total of 10,000 web page archives from mid-2017 that were carefully sampled from the Common Crawl to involve a mixture of high-ranking and low-ranking web pages. The dataset contains the web archive files, HTML DOM, and screenshots of each web page, as well as per-page annotations of visual web archive quality.

  2. W

    Webis-Web-Archive-Quality-22

    • anthology.aicmu.ac.cn
    • webis.de
    6881334
    Updated 2022
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    Martin Potthast; Johannes Kiesel; Benno Stein (2022). Webis-Web-Archive-Quality-22 [Dataset]. http://doi.org/10.5281/zenodo.6881334
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    6881334Available download formats
    Unique identifier
    https://doi.org/10.5281/zenodo.6881334
    Dataset updated
    2022
    Dataset provided by
    Bauhaus-Universität Weimar
    Leipzig University
    The Web Technology & Information Systems Network
    Authors
    Martin Potthast; Johannes Kiesel; 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-Web-Archive-Quality-22 comprises a total of 6,500 pairs of screenshots from web pages as they were archived and as they were reproduced from that archive, along with archive quality annotations and information of DOM elements on the screenshot.

  3. Z

    Webis-Web-Errors-19

    • data.niaid.nih.gov
    • webis.de
    Updated Jul 24, 2024
    + more versions
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    Kiesel, Johannes; Hubricht, Fabienne; Stein, Benno; Potthast, Martin (2024). Webis-Web-Errors-19 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_2549837
    Explore at:
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    Bauhaus-Universität Weimar
    Leipzig University
    Authors
    Kiesel, Johannes; Hubricht, Fabienne; Stein, Benno; Potthast, Martin
    License

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

    Description

    The Webis-Web-Errors-19 comprises various annotations for the 10,000 web page archives of the Webis-Web-Archive-17. The annotations are whether the page is (1) mostly advertisement, (2) cut off, (3) still loading, (4) pornographic; and whether it shows (not/a bit/ very) (5) pop-ups, (6) CAPTCHAs, or (7) error messages. If you use this dataset in your research, please cite it using this paper.

  4. Webis-Web-Archive-17 Content Error Annotations

    • zenodo.org
    csv
    Updated Sep 21, 2020
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    Johannes Kiesel; Johannes Kiesel; Fabienne Hubricht; Benno Stein; Martin Potthast; Martin Potthast; Fabienne Hubricht; Benno Stein (2020). Webis-Web-Archive-17 Content Error Annotations [Dataset]. http://doi.org/10.5281/zenodo.2549838
    Explore at:
    csvAvailable download formats
    Unique identifier
    https://doi.org/10.5281/zenodo.2549838
    Dataset updated
    Sep 21, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Johannes Kiesel; Johannes Kiesel; Fabienne Hubricht; Benno Stein; Martin Potthast; Martin Potthast; Fabienne Hubricht; Benno Stein
    License

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

    Description

    Annotations of content errors in the Webis-Web-Archive-17.

    Described in more detail in an upcoming publication.

  5. Z

    Webis-Web-Segments-20

    • data.niaid.nih.gov
    Updated Feb 16, 2023
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    Kiesel, Johannes; Kneist, Florian; Meyer, Lars; Komlossy, Kristof; Stein, Benno; Potthast, Martin (2023). Webis-Web-Segments-20 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3354902
    Explore at:
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    Leipzig University
    Bauhaus-Universität Weimar
    Authors
    Kiesel, Johannes; Kneist, Florian; Meyer, Lars; Komlossy, Kristof; Stein, Benno; Potthast, Martin
    License

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

    Description

    Dataset of crowdsourced annotations for web page segmentations.

    Web pages are taken from the webis-web-archive-17.

  6. W

    Webis-WebSeg-20

    • webis.de
    • anthology.aicmu.ac.cn
    3354902
    Updated 2020
    + more versions
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    Johannes Kiesel; Lars Meyer; Benno Stein; Martin Potthast (2020). Webis-WebSeg-20 [Dataset]. http://doi.org/10.5281/zenodo.3354902
    Explore at:
    3354902Available download formats
    Unique identifier
    https://doi.org/10.5281/zenodo.3354902
    Dataset updated
    2020
    Dataset provided by
    Enginsight GmbH
    University of Kassel, hessian.AI, and ScaDS.AI
    GESIS - Leibniz Institute for the Social Sciences
    Bauhaus-Universität Weimar
    The Web Technology & Information Systems Network
    Authors
    Johannes Kiesel; Lars Meyer; Benno Stein; Martin Potthast
    License

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

    Description

    The Webis-WebSeg-20 dataset comprises 42,450 crowdsourced segmentations for 8,490 web pages from the Webis-Web-Archive-17. Segmentations were fused from the segmentations of five crowd workers each.

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Click to copy link
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Close
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Johannes Kiesel; Martin Potthast; Matthias Hagen; Benno Stein; Florian Kneist (2017). Webis-Web-Archive-17 [Dataset]. http://doi.org/10.5281/zenodo.1002203

Data from: Webis-Web-Archive-17

Related Article
Explore at:
1002203Available download formats
Unique identifier
https://doi.org/10.5281/zenodo.1002203
Dataset updated
2017
Dataset provided by
University of Kassel, hessian.AI, and ScaDS.AI
Friedrich Schiller University Jena
GESIS - Leibniz Institute for the Social Sciences
Bauhaus-Universität Weimar
The Web Technology & Information Systems Network
Authors
Johannes Kiesel; Martin Potthast; Matthias Hagen; Benno Stein; Florian Kneist
License

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

Description

The Webis-Web-Archive-17 comprises a total of 10,000 web page archives from mid-2017 that were carefully sampled from the Common Crawl to involve a mixture of high-ranking and low-ranking web pages. The dataset contains the web archive files, HTML DOM, and screenshots of each web page, as well as per-page annotations of visual web archive quality.

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