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Hey folks. We just deployed the mw:ORES review tool on English Wikipedia. Check it out in your Beta features preferences. We've gotten a lot of interest in how to help improve ORES accuracy. The best way to do that is to help us gather more data. So, I've generated a new random sample of revisions to review. See "Edit quality (20k 2016 sample)" at WP:Labels. I've already auto-labeled ~13.7k edits by admins, checkusers, bureaucrats and other high privilege users, so we only have to review the remaining 6.3k edits. Assuming each workset takes 5 minutes (which is how long it took last time), that means we have a total of 10 hours of work. If we can divide that between 23 of us and recruit ~7 more, that means we can all spend less than a half an hour working. I'm planning to put in an hour or so in before the end of the week. --EpochFail (talk • contribs) 21:09, 23 August 2016 (UTC)
Just one set of 50 included edits in Talk, User, User talk, Draft and Wikipedia spaces. Is this intended?: Noyster (talk), 10:05, 25 August 2016 (UTC)
It's critical that the artificial intelligence (AI) models that power Wikipedia's tools are aligned to the community. I'm working with Tzusheng to build a system to evaluate the quality of these AI models used across Wikimedia projects, such as ORES and Liftwing. The system is specifically designed to support wiki-style discussion processes. I need your feedback! If you are interested in testing the system and sharing your feedback, please see m:Research:Community-centered Evaluation of AI Models on Wikipedia/Study Recruitment.
This project is documented at m:Research:Community-centered Evaluation of AI Models on Wikipedia.
Thanks! --EpochFail (talk • contribs) 20:07, 27 June 2023 (UTC)