4 datasets found
  1. W

    WDVC-16

    • webis.de
    3905931
    Updated 2016
    + more versions
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    Stefan Heindorf; Martin Potthast; Gregor Engels; Benno Stein (2016). WDVC-16 [Dataset]. http://doi.org/10.5281/zenodo.3905931
    Explore at:
    3905931Available download formats
    Dataset updated
    2016
    Dataset provided by
    Universität Paderborn
    University of Kassel, hessian.AI, and ScaDS.AI
    The Web Technology & Information Systems Network
    Bauhaus-Universität Weimar
    Authors
    Stefan Heindorf; Martin Potthast; Gregor Engels; Benno Stein
    License

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

    Description

    The Wikidata vandalism corpus 2016 (WDVC-16) is a corpus for the evaluation of automatic vandalism detectors for Wikidata. It was employed as part of the WSDM Cup 2017. For research purposes the corpus can be used free of charge.

  2. Vacancy Table: Damodar Valley Corporation (DVC) Executive Trainee...

    • mysarkarinaukri.com
    pdf
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    Damodar Valley Corporation (DVC), Vacancy Table: Damodar Valley Corporation (DVC) Executive Trainee Recruitment 2026 [Dataset]. https://www.mysarkarinaukri.com/find/damodar-valley-corporation-limited-jobs/155639
    Explore at:
    pdfAvailable download formats
    Dataset provided by
    Damodar Valley Corporationhttp://www.dvc.gov.in/
    Authors
    Damodar Valley Corporation (DVC)
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Variables measured
    Executive Trainee (IT), Executive Trainee (Mining), Executive Trainee (Chemical)
    Description

    Tabular data representing post names, category-wise vacancy distribution, and pay levels for Damodar Valley Corporation (DVC) Executive Trainee Recruitment 2026.

  3. d

    Disney's Animal Kingdom Villas at Kidani Village DVC Booking Difficulty...

    • dvcrequest.com
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    Disney's Animal Kingdom Villas at Kidani Village DVC Booking Difficulty Dataset [Dataset]. https://dvcrequest.com/vacations/dvc-resorts/16-disneys-animal-kingdom-villas-at-kidani-village
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    Variables measured
    Grand Villa Availability 1 Month Out, One Bedroom Availability 1 Month Out, Two Bedroom Availability 1 Month Out, Grand Villa Availability 4 Months Out, Grand Villa Availability 7 Months Out, One Bedroom Availability 4 Months Out, One Bedroom Availability 7 Months Out, Two Bedroom Availability 4 Months Out, Two Bedroom Availability 7 Months Out, Deluxe Studio Availability 1 Month Out, and 6 more
    Description

    We've analyzed DVC availability to show how hard it can be to book Disney's Animal Kingdom Villas at Kidani Village at different time frames. Booking early gives you the best chance to get your preferred room type and dates!

  4. e

    Dvc export Data to Philippines | Eximpedia

    • eximpedia.app
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    Dvc export Data to Philippines | Eximpedia [Dataset]. https://www.eximpedia.app/product-dvc-export-data/destination-country-philippines
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    Area covered
    Philippines
    Description

    Eximpedia helps you analyze Dvc export data to Philippines with latest shipment records, trade volume, buyer and supplier.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Stefan Heindorf; Martin Potthast; Gregor Engels; Benno Stein (2016). WDVC-16 [Dataset]. http://doi.org/10.5281/zenodo.3905931

WDVC-16

Explore at:
3905931Available download formats
Dataset updated
2016
Dataset provided by
Universität Paderborn
University of Kassel, hessian.AI, and ScaDS.AI
The Web Technology & Information Systems Network
Bauhaus-Universität Weimar
Authors
Stefan Heindorf; Martin Potthast; Gregor Engels; Benno Stein
License

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

Description

The Wikidata vandalism corpus 2016 (WDVC-16) is a corpus for the evaluation of automatic vandalism detectors for Wikidata. It was employed as part of the WSDM Cup 2017. For research purposes the corpus can be used free of charge.

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