well can this work?

repobench-p.py

@@ -46,7 +46,7 @@ _URLs = {
     "java": "https://raw.githubusercontent.com/Leolty/repobench/main/data/pipeline/java/"
 }
 
-class RepoBenchC(datasets.GeneratorBasedBuilder):
+class RepoBenchP(datasets.GeneratorBasedBuilder):
     """RepoBench"""
 
     VERSION = datasets.Version("1.0.0")
@@ -70,22 +70,40 @@ class RepoBenchC(datasets.GeneratorBasedBuilder):
         )
     ]
 
+    DEFAULT_SPLIT_NAME = "cff"
+
     def _info(self):
-        features = datasets.Features(
-            {
-                "repo_name": datasets.Value("string"),
-                "file_path": datasets.Value("string"),
-                "context": datasets.Sequence(feature={
-                    "path": datasets.Value("string"),
-                    "identifier": datasets.Value("string"),
-                    "snippet": datasets.Value("string")
-                }),
-                "import_statement": datasets.Value("string"),
-                "code": datasets.Value("string"),
-                "next_line": datasets.Value("string"),
-                "gold_snippet_index": datasets.Value("int32")
-            }
-        )
+        if self.DEFAULT_SPLIT_NAME == "if":
+            features = datasets.Features(
+                {
+                    "repo_name": datasets.Value("string"),
+                    "file_path": datasets.Value("string"),
+                    "context": datasets.Sequence(feature={
+                        "path": datasets.Value("string"),
+                        "identifier": datasets.Value("string"),
+                        "snippet": datasets.Value("string")
+                    }),
+                    "import_statement": datasets.Value("string"),
+                    "code": datasets.Value("string"),
+                    "next_line": datasets.Value("string")
+                }
+            )
+        else:
+            features = datasets.Features(
+                {
+                    "repo_name": datasets.Value("string"),
+                    "file_path": datasets.Value("string"),
+                    "context": datasets.Sequence(feature={
+                        "path": datasets.Value("string"),
+                        "identifier": datasets.Value("string"),
+                        "snippet": datasets.Value("string")
+                    }),
+                    "import_statement": datasets.Value("string"),
+                    "code": datasets.Value("string"),
+                    "next_line": datasets.Value("string"),
+                    "gold_snippet_index": datasets.Value("int32")
+                }
+            )
 
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
@@ -125,7 +143,8 @@ class RepoBenchC(datasets.GeneratorBasedBuilder):
         with gzip.open(data_dir[split], "rb") as f:
             data = pickle.load(f)
 
-
+        self.DEFAULT_SPLIT_NAME = split
+        
         for i, example in enumerate(data):
 
             yield i, example