Update mypin-voice-dataset.py

mypin-voice-dataset.py

@@ -26,8 +26,7 @@ class MyDataset(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": metadata, 
                     "audio_dir": data_dir,
-                    "split": "train",
-                    "split_ratio": 0.8,
+                    "split": "train"
                 },
             ),
             datasets.SplitGenerator(
@@ -35,13 +34,12 @@ class MyDataset(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": metadata, 
                     "audio_dir": data_dir,
-                    "split": "eval",
-                    "split_ratio": 0.2,
+                    "split": "eval"
                 },
             )
         ]
 
-    def _generate_examples(self, filepath, audio_dir, split, split_ratio):
+    def _generate_examples(self, filepath, audio_dir, split):
         # Read and parse the metadata JSONL file
         with open(filepath, "r", encoding="utf-8") as f:
             data = [json.loads(line) for line in f]
@@ -50,7 +48,7 @@ class MyDataset(datasets.GeneratorBasedBuilder):
         random.shuffle(data)
 
         # Calculate split index for training and evaluation
-        split_index = int(len(data) * split_ratio)
+        split_index = int(len(data) * 0.8)
         if split == "train":
             examples = data[:split_index]
         else: