- W
PAN-WVC-11
- anthology.aicmu.ac.cn
- webis.de
3342157Updated 2011
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCiteMartin Potthast; Benno Stein (2011). PAN-WVC-11 [Dataset]. http://doi.org/10.5281/zenodo.33421573342157Available download formatsUnique identifierhttps://doi.org/10.5281/zenodo.3342157Dataset updated2011Dataset provided byLeipzig University
Bauhaus-Universität Weimar
The Web Technology & Information Systems NetworkAuthorsMartin Potthast; Benno SteinLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe PAN Wikipedia vandalism corpus 2011 (PAN-WVC-11) is a corpus for the evaluation of automatic vandalism detectors for Wikipedia. For research purposes the corpus can be used free of charge.
- E
PAN Wikipedia Vandalism Corpus 2011 (PAN-WVC-11)
- live.european-language-grid.eu
- data.niaid.nih.gov
- +1more
txtUpdated Mar 29, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2024). PAN Wikipedia Vandalism Corpus 2011 (PAN-WVC-11) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/7558txtAvailable download formatsDataset updatedMar 29, 2024LicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe PAN Wikipedia Vandalism Corpus 2011 (PAN-WVC-11) is a corpus for the evaluation of automatic vandalism detectors for Wikipedia. For research purposes the corpus can be used free of charge.
This corpus supplements the PAN-WVC-10, which features only English edits. Both corpora should be used to get more representative results.
The corpus compiles 29949 edits on 24351 Wikipedia articles, among which 2813 vandalism edits have been identified. The corpus features 9985 English edits, 9990 German edits, and 9974 Spanish edits. To annotate the corpus we have used Amazon's Mechanical Turk; each edit was presented to a number of annotators who were asked to decide whether it is vandalism or regular, and the agreement of the annotators was analyzed in order to label an edit.
- W
PAN-WVC-10
- anthology.aicmu.ac.cn
- webis.de
3341488Updated 2010ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMartin Potthast; Benno Stein (2010). PAN-WVC-10 [Dataset]. http://doi.org/10.5281/zenodo.33414883341488Available download formatsUnique identifierhttps://doi.org/10.5281/zenodo.3341488Dataset updated2010Dataset provided byLeipzig University
Bauhaus-Universität Weimar
The Web Technology & Information Systems NetworkAuthorsMartin Potthast; Benno SteinLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe PAN Wikipedia vandalism corpus 2010 (PAN-WVC-10) is a corpus for the evaluation of automatic vandalism detectors for Wikipedia. For research purposes the corpus can be used free of charge.
- Z
PAN Wikipedia Vandalism Corpus 2010 (PAN-WVC-10)
- data.niaid.nih.gov
- zenodo.org
Updated Jan 24, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHolfeld, Teresa (2020). PAN Wikipedia Vandalism Corpus 2010 (PAN-WVC-10) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3341487Dataset updatedJan 24, 2020Dataset provided byStein, Benno
Holfeld, Teresa
Potthast, MartinLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe PAN Wikipedia Vvandalism Ccorpus 2010 (PAN-WVC-10) is a corpus for the evaluation of automatic vandalism detectors for Wikipedia. For research purposes the corpus can be used free of charge.
This corpus is supplemented by the PAN-WVC-11, which features additional edits in English, Spanish and German. Both corpora should be used to get more representative results.
As part of our research on automatic vandalism detection we have compiled a corpus of vandalism cases found in Wikipedia. The corpus compiles 32452 edits on 28468 Wikipedia articles, among which 2391 vandalism edits have been identified. To annotate the corpus we have used Amazon's Mechanical Turk; 753 workers have been recruited who cast more than 150000 votes on the edits, so that each edit was reviewed by at least 3 annotators. The achieved level of agreement was analyzed in order to label an edit as "regular" or "vandalism."
- E
PAN Wikipedia Vandalism Corpus 2010 (PAN-WVC-10)
- live.european-language-grid.eu
txtUpdated Apr 26, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2024). PAN Wikipedia Vandalism Corpus 2010 (PAN-WVC-10) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/7557txtAvailable download formatsDataset updatedApr 26, 2024LicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe PAN Wikipedia Vandalism Corpus 2010 (PAN-WVC-10) is a corpus for the evaluation of automatic vandalism detectors for Wikipedia. For research purposes the corpus can be used free of charge.
This corpus is supplemented by the PAN-WVC-11, which features additional edits in English, Spanish and German. Both corpora should be used to get more representative results.
As part of our research on automatic vandalism detection we have compiled a corpus of vandalism cases found in Wikipedia. The corpus compiles 32452 edits on 28468 Wikipedia articles, among which 2391 vandalism edits have been identified. To annotate the corpus we have used Amazon's Mechanical Turk; 753 workers have been recruited who cast more than 150000 votes on the edits, so that each edit was reviewed by at least 3 annotators. The achieved level of agreement was analyzed in order to label an edit as "regular" or "vandalism."
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailBauhaus-Universität Weimar
The Web Technology & Information Systems Network
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The PAN Wikipedia vandalism corpus 2011 (PAN-WVC-11) is a corpus for the evaluation of automatic vandalism detectors for Wikipedia. For research purposes the corpus can be used free of charge.