ClarusC64/clinical-tpib-treatment-response-manifold-typing-v0.1
What this dataset tests Whether a model can classify treatment response by invariant shape. It is disease-agnostic. It uses response geometry across time. Labels acute_then_tolerance paradoxical_worsening delayed_threshold_response multi_system_single_target oscillatory_response nonresponse_flat mixed_uncertain Typical failures confusing delayed response with nonresponse missing tolerance when benefit fades after early gain calling oscillation random noise when it is… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-tpib-treatment-response-manifold-typing-v0.1.
What this dataset tests
Whether a model can classify treatment response by invariant shape.
It is disease-agnostic.
It uses response geometry across time.
Labels
- acutethentolerance
- paradoxical_worsening
- delayedthresholdresponse
- multisystemsingle_target
- oscillatory_response
- nonresponse_flat
- mixed_uncertain
Typical failures
- confusing delayed response with nonresponse
- missing tolerance when benefit fades after early gain
- calling oscillation random noise when it is on-off coupled
Suggested prompt wrapper
System
You classify the treatment-response manifold type.
User
Baseline {baseline_state}
Interventions {intervention_timeline}
Outcomes {outcome_timeline}
Return
- one label
- one sentence evidence trace
Citation
ClarusC64 dataset family