Fix config parameter for evaluation scripts.

Author: drazvan

nemoguardrails/eval/README.md

@@ -1,3 +1,3 @@
 # Guardrails Evaluation
 
-For an up-to-date overview about the evaluation tools and experiments for the different types of rails supported by NeMo Guardrails, consult [this page](./../../docs/evaluation/README.md).
+For an up-to-date overview about the evaluation tools and experiments for the different types of rails supported by NeMo Guardrails, check out [this page](./../../docs/evaluation/README.md).

nemoguardrails/eval/cli/evaluate.py

@@ -89,7 +89,7 @@ def topical(
     typer.echo(f"Starting the evaluation for app: {config[0]}...")
 
     topical_eval = TopicalRailsEvaluation(
-        config_path=config[0],
+        config=config[0],
         verbose=verbose,
         test_set_percentage=test_percentage,
         max_samples_per_intent=max_samples_intent,

nemoguardrails/eval/evaluate_factcheck.py

@@ -36,7 +36,7 @@ class FactCheckEvaluation:
 
     def __init__(
         self,
-        config_path: str,
+        config: str,
         dataset_path: str = "data/factchecking/sample.json",
         num_samples: int = 50,
         create_negatives: bool = True,
@@ -55,7 +55,7 @@ def __init__(
         - write_outputs: whether to write the predictions to file
         """
 
-        self.config_path = config_path
+        self.config_path = config
         self.dataset_path = dataset_path
         self.rails_config = RailsConfig.from_path(self.config_path)
         self.rails = LLMRails(self.rails_config)

nemoguardrails/eval/evaluate_hallucination.py

@@ -35,7 +35,7 @@ class HallucinationRailsEvaluation:
 
     def __init__(
         self,
-        config_path: str,
+        config: str,
         dataset_path: str = "data/hallucination/sample.txt",
         num_samples: int = 50,
         output_dir: str = "outputs/hallucination",
@@ -52,7 +52,7 @@ def __init__(
         - write_outputs: whether to write the predictions to file
         """
 
-        self.config_path = config_path
+        self.config_path = config
         self.dataset_path = dataset_path
         self.rails_config = RailsConfig.from_path(self.config_path)
         self.rails = LLMRails(self.rails_config)

nemoguardrails/eval/evaluate_moderation.py

@@ -32,7 +32,7 @@ class ModerationRailsEvaluation:
 
     def __init__(
         self,
-        config_path: str,
+        config: str,
         dataset_path: str = "nemoguardrails/nemoguardrails/eval/data/moderation/harmful.txt",
         num_samples: int = 50,
         check_input: bool = True,
@@ -54,7 +54,7 @@ def __init__(
         - split: whether the dataset is harmful or helpful
         """
 
-        self.config_path = config_path
+        self.config_path = config
         self.dataset_path = dataset_path
         self.rails_config = RailsConfig.from_path(self.config_path)
         self.rails = LLMRails(self.rails_config)

nemoguardrails/eval/evaluate_topical.py

@@ -135,7 +135,7 @@ def _print_evaluation_results(
 
     def __init__(
         self,
-        config_path: str,
+        config: str,
         verbose: Optional[bool] = False,
         test_set_percentage: Optional[float] = 0.3,
         max_tests_per_intent: Optional[int] = 3,
@@ -162,7 +162,7 @@ def __init__(
         - random_seed: Random seed used by the evaluation.
         - output_dir: Output directory for predictions.
         """
-        self.config_path = config_path
+        self.config_path = config
         self.verbose = verbose
         self.test_set_percentage = test_set_percentage
         self.max_tests_per_intent = max_tests_per_intent