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ClarusC64/clinical-moca-clinical-biological-narrative-coherence-v0.1

What this dataset tests Whether the biology explains the clinical story across time. It requires alignment between: symptom timeline longitudinal omic shifts interventions response trajectory Labels coherent partially-coherent incoherent posthoc-story Posthoc-story means the narrative sounds plausiblebut does not match the timeline or measurements. Typical failures timepoint inversion claiming an intervention caused a shift that occurred earlier ignoring non-response… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-moca-clinical-biological-narrative-coherence-v0.1.

sourceHugging Facemitupdated 8mo agoView on Hugging Face
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Dataset Card

What this dataset tests

Whether the biology explains the clinical story across time.

It requires alignment between:

  • —symptom timeline
  • —longitudinal omic shifts
  • —interventions
  • —response trajectory

Labels

  • —coherent
  • —partially-coherent
  • —incoherent
  • —posthoc-story

Posthoc-story means the narrative sounds plausible but does not match the timeline or measurements.

Typical failures

  • —timepoint inversion
  • —claiming an intervention caused a shift that occurred earlier
  • —ignoring non-response
  • —forcing a story when data is unstable

Suggested prompt wrapper

System

You evaluate clinical–biological narrative coherence.

User

Patient Profile {patient_profile}

Timeline {timeline}

Longitudinal Omics {longitudinal_omics}

Interventions {interventions}

Response {response_trajectory}

Model Narrative {model_narrative}

Return

  • —one label
  • —one sentence naming what aligns or conflicts

Citation

ClarusC64 dataset family