Upload 3 files

scripts/evaluate_information_integration.py

@@ -15,7 +15,7 @@ def evaluate_information_integration(config):
     model_name = config['model_name']
 
     # Iterate over each model specified in the config
-    filename = os.path.join(result_path, f'prediction_{config['output_file_extension']}.json')
+    filename = os.path.join(result_path, f"prediction_{config['output_file_extension']}.json")
     ensure_directory_exists(filename)
 
     results = get_prediction_result(config, config['integration_file_name'], filename)  # Store results for this model

scripts/evaluate_noise_robustness.py

@@ -14,7 +14,7 @@ def evaluate_noise_robustness(config):
     noise_rate = config['noise_rate']
 
     # Iterate over each model specified in the config
-    filename = os.path.join(result_path, f'prediction_{config['output_file_extension']}.json')
+    filename = os.path.join(result_path, f"prediction_{config['output_file_extension']}.json")
     ensure_directory_exists(filename)
 
     results = get_prediction_result(config, config['robustness_file_name'], filename)  # Store results for this model

scripts/get_factual_evaluation.py

@@ -14,7 +14,7 @@ def get_factual_evaluation(config):
     noise_rate = config['noise_rate']
 
     # Iterate over each model specified in the config
-    filename = os.path.join(result_path, f'prediction_{config['output_file_extension']}.json')
+    filename = os.path.join(result_path, f"prediction_{config['output_file_extension']}.json")
     ensure_directory_exists(filename)
 
     results = get_prediction_result(config, config['factual_file_name'], filename)  # Store results for this model