dataset
clinical-healing-trajectory-tokenization-phase-segmentation-v0.1
ClarusC64
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Overview
Name
clinical-healing-trajectory-tokenization-phase-segmentation-v0.1
Source
ClarusC64
Episodes
0
Robot count
0
Format
csv
Description
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.
Robots used
null
Links
HuggingFace dataset