This task involves the work of defining and implementing a process for how the Tone Check model will be retrained.
=== Story
- As a new(er) volunteer who is in the midst of making an edit that causes Tone Check to become activated, I want to be confident the feedback I am being offered is aligned with the //current// state of Wikipedia policies and conventions, so that I can be confident I am make choices that align with what the people who will be reviewing/moderating/patrolling the edits I'm making expect.
- As an experienced volunteer who is concerned with ensuring new text that is added to Wikipedia is written in a tone that is aligned with project policy and conventions, I want for the Tone Check model to be perpetually kept in sync with relevant policies and guidelines as they evolve, so that I can be confident the feature is offering people to feedback that is aligned with what I/the project is expecting.
=== Requirements
//To retrain the Tone Check model effectively, the Machine Learning Team will need the following...//
- The text that caused //each// Tone Check to be shown
- For each span of text that caused a Tone Check to be shown, whether someone tapped to {nav Revise} what they had written or tapped {nav Decline} to continue on with what they originally wrote
-- //Note: If someone chose to Decline revising, the reason they gave for that specific Tone Check instance.//
=== Background
This need for this ticket was prompted by an offline conversation with @SSalgaonkar-WMF in the context of T389443.