metadata
language:
- en
license: mit
pretty_name: Clinical RTT Early Basin-Shift Signal Detection v0.1
dataset_name: clinical-rtt-early-basin-shift-signal-detection-v0.1
tags:
- clarusc64
- clinical
- rtt
- recovery
- basin-shift
- early-warning
task_categories:
- text-classification
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
- split: test
path: data/test.csv
What this dataset tests
Whether early recovery signals
predict the later recovery topology.
It focuses on the first days, not weeks.
Early signals include
- mobility trend
- sleep fragmentation
- HRV shifts
- fatigue volatility
- mood direction
Outputs
- predicted recovery topology
- basin-shift confidence
- key early signals
Typical failures
- ignoring early crashes
- mistaking flat early signals for steady ascent
- missing volatility that predicts oscillation
Suggested prompt wrapper
System
You detect early basin-shift signals.
User
Early Signals
{early_signals}
Signal Deltas
{signal_deltas}
Volatility Markers
{volatility_markers}
Return
- predicted topology
- confidence score
- one sentence naming the key early signal
Citation
ClarusC64 dataset family