---
language:
  - en
license: mit
pretty_name: Clinical RTT Micro-Intervention Trajectory Nudging v0.1
dataset_name: clinical-rtt-micro-intervention-trajectory-nudging-v0.1
tags:
  - clarusc64
  - clinical
  - rtt
  - recovery
  - micro-interventions
  - resilience
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 a model can recommend **small, precise actions**  
that shift recovery into a more stable basin.

It ties actions to early signals.  
It penalizes overload.

Typical failures  

- pushing intensity in stalled states  
- ignoring sleep or adherence signals  
- recommending generic advice without target  

Suggested prompt wrapper  

System  

You propose micro-interventions to nudge recovery.

User  

Predicted Topology  
{predicted_topology}

Early Signals  
{early_signals}

Risk Flags  
{risk_flags}

Return  

- 3 micro-interventions  
- expected basin shift  
- one label  

Citation  

ClarusC64 dataset family