ClarusC64/clinical-healing-trajectory-tokenization-phase-segmentation-v0.1
What this dataset tests Whether a model can segment high-frequency recovery datainto interpretable healing phases. Required outputs phase_sequence phase_boundaries phase_confidence_0_100 Token labels acute_drop early_rebound consolidation_plateau oscillatory_instability secondary_drop delayed_rebound steady_ascent maladaptive_plateau recovery_lock_in Boundary format Use day indicesexampleacute_drop d0-d2 Typical failures naming phases without boundaries… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-healing-trajectory-tokenization-phase-segmentation-v0.1.
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