As part of its product development program, the Wikimedia Foundation's Tech Department will be releasing regular data dumps for all the features that are currently being implemented. The first weekly dumps from the Article Feedback Tool – an experimental feature to engage readers to interact with Wikipedia's contents via a quality rating system [1] – are available since this afternoon [2]. The latest datasets contain raw ratings data collected each week from a random sample of 100K articles of the English Wikipedia. More datasets will be released in the coming weeks as we deploy new features.

Over the summer a new series of datasets produced by the participants in the Wikimedia Summer of Research [3] will be released and an open data repository will be announced to host and permanently identify these datasets. Further details on this program and WMF's open data policy will follow on the Foundation's blog and on this list.

Dario

[1] http://www.mediawiki.org/wiki/Article_feedback

[2] http://www.mediawiki.org/wiki/Article_feedback/Data

[3] http://meta.wikimedia.org/wiki/Research:Wikimedia_Summer_of_Research_2011

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Dario Taraborelli, PhD

Senior Research Analyst

Wikimedia Foundation

http://wikimediafoundation.org

http://nitens.org/taraborelli