| from datasets import load_dataset |
| import soundfile as sf |
| from pathlib import Path |
| import pandas as pd |
| from tqdm import tqdm |
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| outdir = Path("OUT_DIR_PATH") |
| outdir.mkdir(parents=True, exist_ok=True) |
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| dataset = load_dataset("MTUCI/TTS_MOS_Evaluation_Dataset", split="train") |
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| mos_records = [] |
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| for item in tqdm(dataset, desc="Сохраняем аудио"): |
| safe_name = item['filename'].replace('/', '_').replace('\\', '_') |
| out_path = outdir / safe_name |
| out_path.write_bytes(item['audio']) |
| mos_records.append({ |
| "inner_audio_id": item["inner_audio_id"], |
| "file_name": str(out_path), |
| "mos": item['int_mos_mean'] if pd.notna(item['int_mos_mean']) else item['mos_mean'] |
| }) |
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| csv_path = "CVS_PATH" |
| pd.DataFrame(mos_records).to_csv(csv_path, index=False) |
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| print(f"Готово! Всего {len(mos_records)} аудио. MOS метки сохранены в {csv_path}") |
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