Medical Triage Alignment (MTA) dataset use case

aisteer360/evaluation/metrics/custom/commonsense_mcqa/mcqa_positional_bias.py

@@ -43,6 +43,9 @@ def compute(
 
         valid_responses = [r for r in responses if r is not None]
 
+        if not valid_responses:
+            return {"mean": 0.0, "std": 0.0}
+
         position_counts = Counter(valid_responses)
         total_responses = len(valid_responses)
         positions = sorted(position_counts.keys())

aisteer360/evaluation/use_cases/medical_triage_alignment/__init__.py

@@ -0,0 +1,9 @@
+"""Medical triage alignment evaluation use case.
+
+This module provides evaluation tools for medical triage decision-making based on the
+MTA (Medical Triage Alignment) dataset, supporting configurable decision-making attribute prompts.
+"""
+
+from aisteer360.evaluation.use_cases.medical_triage_alignment.use_case import MedicalTriageAlignment
+
+__all__ = ["MedicalTriageAlignment"]