Update test_repo.py

test_repo.py

@@ -31,15 +31,15 @@ class TestRepo(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.0.0")
 
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="train_normal_mcqa", version=VERSION, description="This configuration covers multiple choice questions."),
-        datasets.BuilderConfig(name="val_normal_mcqa", version=VERSION, description="This configuration covers multiple choice questions."),
-        datasets.BuilderConfig(name="test_normal_mcqa", version=VERSION, description="This configuration covers multiple choice questions."),
-        datasets.BuilderConfig(name="train_context_mcqa", version=VERSION, description="This configuration covers multiple choice questions."),
-        datasets.BuilderConfig(name="val_context_mcqa", version=VERSION, description="This configuration covers multiple choice questions."),
-        datasets.BuilderConfig(name="test_context_mcqa", version=VERSION, description="This configuration covers multiple choice questions."),
-        datasets.BuilderConfig(name="train_aqa", version=VERSION, description="This configuration covers multiple choice questions."),
-        datasets.BuilderConfig(name="val_aqa", version=VERSION, description="This configuration covers multiple choice questions."),
-        datasets.BuilderConfig(name="test_aqa", version=VERSION, description="This configuration covers multiple choice questions."),
+        datasets.BuilderConfig(name="train_normal_mcqa", version=VERSION, description="Train set MCQA"),
+        datasets.BuilderConfig(name="val_normal_mcqa", version=VERSION, description="Val set MCQA"),
+        datasets.BuilderConfig(name="test_normal_mcqa", version=VERSION, description="Test set MCQA"),
+        datasets.BuilderConfig(name="train_context_mcqa", version=VERSION, description="Train set context MCQA"),
+        datasets.BuilderConfig(name="val_context_mcqa", version=VERSION, description="Val set context MCQA"),
+        datasets.BuilderConfig(name="test_context_mcqa", version=VERSION, description="Test set context MCQA"),
+        datasets.BuilderConfig(name="train_aqa", version=VERSION, description="Train set AQA"),
+        datasets.BuilderConfig(name="val_aqa", version=VERSION, description="Val set AQA"),
+        datasets.BuilderConfig(name="test_aqa", version=VERSION, description="Test set AQA"),
     ]
 
 #     DEFAULT_CONFIG_NAME = "mcq_domain"
@@ -126,22 +126,22 @@ class TestRepo(datasets.GeneratorBasedBuilder):
                 })),                
             }),
             "train_aqa": datasets.Features({
-                "question": datasets.Value("string"),  # Simple string for the question
-                "answer": datasets.Value("string"),  # List of strings for the answer
+                "question": datasets.Value("string"), 
+                "answer": datasets.Value("string"),  
                 "prompt": datasets.Value("string"),
                 "dataset_name": datasets.Value("string"),
             }),
             "val_aqa": datasets.Features({
-                "question": datasets.Value("string"),  # Simple string for the question
-                "answer": datasets.Sequence(datasets.Value("string")),  # List of strings for the answer
+                "question": datasets.Value("string"),  
+                "answer": datasets.Sequence(datasets.Value("string")),  
                 "prompt": datasets.Value("string"),
-                "dataset_name": datasets.Value("string"),# Simple string for the prompt
+                "dataset_name": datasets.Value("string"),
             }), 
             "test_aqa": datasets.Features({
-                "question": datasets.Value("string"),  # Simple string for the question
-                "answer": datasets.Sequence(datasets.Value("string")),  # List of strings for the answer
+                "question": datasets.Value("string"),  
+                "answer": datasets.Sequence(datasets.Value("string")),  
                 "prompt": datasets.Value("string"),
-                "dataset_name": datasets.Value("string"),# Simple string for the prompt
+                "dataset_name": datasets.Value("string"),
             }),            
         }