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
<https://lists.wikimedia.org/hyperkitty/list/wikitech-l@lists.wikimedia.org/thread/EK65B7QCQHEG37C2ERPIUSP64OX3ZEUJ/>
)
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.
<https://annotool.toolforge.org/> 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
<https://phabricator.wikimedia.org/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
Grab a spot in my calendar for a chat:
calendly.com/masssly.
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