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ML data preparation
Cleaning public logs, retaining provenance and distribution tails, and splitting data by participant and session.
In practice
- Human Input: motion & typing
Prepared a corpus from seven public sources: cleaning, 19 clusters across 10 contexts and non-overlapping participant/session splits.
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Related projects
- Human Input: motion & typing
A generator of mouse movement and typing rhythm with natural variation. Turns a target and text into a ready-to-use sequence of actions, with an API and an interactive demo.