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.gitattributes

@@ -57,3 +57,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+archive.z01 filter=lfs diff=lfs merge=lfs -text
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+archive.z10 filter=lfs diff=lfs merge=lfs -text
+archive.z11 filter=lfs diff=lfs merge=lfs -text
+archive.z12 filter=lfs diff=lfs merge=lfs -text

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archive.zip

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main.py

@@ -0,0 +1,32 @@
+import os
+import uuid
+import soundfile as sf
+from datasets import load_dataset
+
+# Settings
+dataset_name = "MushanW/GLOBE_V2"  # e.g., "librispeech_asr"
+split = "train"  # or "test", "validation", etc.
+output_dir = "./wav_output"
+
+# Load dataset
+ds = load_dataset(dataset_name, split=split, verification_mode="no_checks")
+
+# Make sure output directory exists
+os.makedirs(output_dir, exist_ok=True)
+
+# Iterate through dataset and save audio
+for i, sample in enumerate(ds):
+    audio = sample["audio"]
+    samples = audio["array"]
+    sample_rate = audio["sampling_rate"]
+    
+    filename = f"{uuid.uuid4()}.wav"
+    filepath = os.path.join(output_dir, filename)
+    
+    # Save as .wav file
+    sf.write(filepath, samples, sample_rate)
+
+    if (i + 1) % 100 == 0:
+        print(f"Saved {i+1} files...")
+
+print(f"Done! Saved {len(ds)} files to '{output_dir}'")