Hi everyone,

As you're likely aware, the Wikimedia Foundation's Machine Learning and Research teams have been working on migrating from ORES to Lift Wing — a new open-source machine learning infrastructure. This shift brings a host of new capabilities and simplifies the process of retraining models over time. (For more details, see the previous announcement)

Lift Wing has already been trained using a dataset comprising reverted and patrolled edits. However, it would be extremely helpful to have additional new training data to help the model get even better at detecting problematic edits on Wikidata. Therefore, we need your help.

How You Can Contribute

The Research team built a tool to make your involvement easy and effective. This tool allows you to label new training data quickly and efficiently. You can find the tool here: Annotation Tool. It will show you an edit and ask you if you would keep or revert the edit. You can skip any you are not sure about.

By participating in this process, you're helping enhance the accuracy of the bad edits detection system on Wikidata, making it more robust and reliable.

If you encounter any issues or want to provide general feedback, feel free to leave us a note on this ticket phab:T341820.

Cheers,

--

Mohammed S. Abdulai
Community Communications Manager, Wikidata

Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0) 30 577 116 2466
https://wikimedia.de

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