Create scorer.py

scorer.py

@@ -0,0 +1,29 @@
+VALID = {"coherent","incoherent"}
+
+def score(predictions, references):
+    ref = {r["uid"]: r for r in references}
+    total = 0
+    correct = 0
+    invalid = 0
+
+    for p in predictions:
+        uid = p["uid"]
+        if uid not in ref:
+            continue
+        gt = ref[uid]["ground_truth_label"]
+        if not gt:
+            continue
+        total += 1
+        pred = str(p.get("model_response","")).strip().lower()
+        if pred not in VALID:
+            invalid += 1
+            continue
+        if pred == gt:
+            correct += 1
+
+    return {
+        "accuracy": correct/total if total else 0,
+        "n_scored": total,
+        "invalid_rate": invalid/total if total else 0,
+        "labels": ["coherent","incoherent"]
+    }