Check edge cases

L3Score.py

@@ -109,10 +109,9 @@ class L3Score(evaluate.Metric):
         """Optional: download external resources useful to compute the scores"""
         pass
 
-    def _verify_input(self, provider, model, api_key):
+    def _verify_input(self, questions, predictions, references, provider):
         """Verify the input parameters"""
 
-        print(provider)
         if provider not in PROVIDER_WITH_TOP_LOGPROBS:
             raise ValueError(
                 "Provider must offer top_logprobs to use this metric, pick from {}".format(
@@ -120,6 +119,8 @@ class L3Score(evaluate.Metric):
                 )
             )
 
+        assert len(questions) == len(predictions) == len(references), "Questions, predictions and references must have the same length"
+
 
     def _get_llm(self, model, api_key):
         """Get the LLM"""
@@ -137,10 +138,10 @@ class L3Score(evaluate.Metric):
         model="gpt-4o-mini",
     ):
         """Returns the scores"""
+        print(questions,predictions,references)
 
-        print("Inside compute")
         # Check whether llm can be initialized
-        self._verify_input(provider, model, api_key)
+        self._verify_input(questions, predictions, references, provider)
 
         # Initialize the LLM
         llm = self._get_llm(model, api_key)