Upload mumospee_small.py with huggingface_hub

mumospee_small.py

@@ -19,21 +19,22 @@ _TAGS = ["CoVoST", "GigaSpeech", "peoples_speech", "Librispeech", "LibriTTS", "E
 
 _SPLITS = ["train", "validation", "test"]
 
-# Base URL for audio files (assuming they are stored in a consistent structure)
-_BASE_AUDIO_URL = "https://huggingface.co/datasets/meetween/mumospee_librispeech/blob/main/"
-
 # BuilderConfig class for your dataset
-class YourDatasetConfig(datasets.BuilderConfig):
+class MumospeeDatasetConfig(datasets.BuilderConfig):
     def __init__(self, name, *args, **kwargs):
         super().__init__(name=name, *args, **kwargs)
+        self.language = kwargs.get("language", None) # Add language as a key in the config
+        self.tag = kwargs.get("tag", None)  # Add tag as a key in the config
+
+
 
-class YourDataset(datasets.GeneratorBasedBuilder):
+class MumospeeDataset(datasets.GeneratorBasedBuilder):
     """Your custom dataset for Hugging Face based on the CSV metadata and audio URLs."""
 
     VERSION = datasets.Version("1.0.0")
 
     # Define the available configurations (could be subsets like split or language)
-    BUILDER_CONFIGS = [YourDatasetConfig(name="default")]
+    BUILDER_CONFIGS = [MumospeeDatasetConfig(name="default")]
 
     def _info(self):
         # Define the features of your dataset
@@ -111,3 +112,10 @@ class YourDataset(datasets.GeneratorBasedBuilder):
         # This is an example function for downloading audio if it's needed
         # You can integrate this within your data processing pipeline if required
         pass
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