| 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}'") | |