Datasetpublic

ClarusC64/clinical-structural-similarity-scoring-against-ground-truth-v0.1

What this dataset tests Whether a model can match the later-discovered explanationby structural logic, not by diagnosis label. Input pre-explanation case summary and data predicted structure ground truth structure Required outputs structural_similarity_score_0_100 alignment_strengths divergence_points Representation format Predicted and ground truth structures use this schema text systems A B C nodes n1 n2 n3 edges n1->n2 n2->n3 phases p1 p2 p3 failure_modes f1 f2 Typical… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-structural-similarity-scoring-against-ground-truth-v0.1.

sourceHugging Facemitupdated 8mo agoView on Hugging Face

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What this dataset tests

Whether a model can match the later-discovered explanation by structural logic, not by diagnosis label.

Input

—pre-explanation case summary and data
—predicted structure
—ground truth structure

Required outputs

—structuralsimilarityscore0100
—alignment_strengths
—divergence_points

Representation format

Predicted and ground truth structures use this schema text

—systems A B C
—nodes n1 n2 n3
—edges n1->n2 n2->n3
—phases p1 p2 p3
—failure_modes f1 f2

Typical failures

—label matching with no structure
—no edges
—edges that do not connect symptom drivers to outcomes

Suggested prompt wrapper

System

You score structural similarity between a predicted mechanism and the ground truth.

User

Predicted structure {predicted_structure}

Ground truth structure {groundtruthstructure}

Return

—structuralsimilarityscore0100
—alignment strengths
—divergence points

Citation

ClarusC64 dataset family