Datasets:
Tasks:
Audio Classification
Formats:
parquet
Size:
1K - 10K
ArXiv:
Tags:
arxiv:2606.01686
music
ai-generated-music
ai-generated-music-detection
plagiarism-detection
ace-step
License:
| #!/usr/bin/env python3 | |
| """ | |
| Convert all WAV files to MP3 (192 kbps) and delete originals. | |
| Usage: | |
| taskset -c 11-23 python scripts/convert_wav_to_mp3.py # default: entire dataset | |
| taskset -c 11-23 python scripts/convert_wav_to_mp3.py --dry-run # preview only | |
| taskset -c 11-23 python scripts/convert_wav_to_mp3.py --dir fake/acestep | |
| """ | |
| import argparse | |
| import subprocess | |
| import sys | |
| from pathlib import Path | |
| from concurrent.futures import ThreadPoolExecutor, as_completed | |
| from tqdm import tqdm | |
| BASE_DIR = Path("/ssd_data/dataset/ai_music_dataset") | |
| def convert_one(wav_path: Path, keep_original: bool = False) -> tuple[Path, bool, str]: | |
| mp3_path = wav_path.with_suffix(".mp3") | |
| if mp3_path.exists() and mp3_path.stat().st_size > 1000: | |
| if not keep_original: | |
| wav_path.unlink(missing_ok=True) | |
| return wav_path, True, "mp3 already exists" | |
| cmd = [ | |
| "ffmpeg", | |
| "-y", | |
| "-hide_banner", | |
| "-loglevel", | |
| "error", | |
| "-i", | |
| str(wav_path), | |
| "-ac", | |
| "2", | |
| "-ar", | |
| "44100", | |
| "-c:a", | |
| "libmp3lame", | |
| "-b:a", | |
| "192k", | |
| str(mp3_path), | |
| ] | |
| try: | |
| result = subprocess.run(cmd, capture_output=True, text=True, timeout=120) | |
| if result.returncode != 0: | |
| return wav_path, False, result.stderr.strip()[:200] | |
| except Exception as exc: | |
| return wav_path, False, str(exc)[:200] | |
| if not mp3_path.exists() or mp3_path.stat().st_size < 500: | |
| return wav_path, False, "output mp3 too small or missing" | |
| if not keep_original: | |
| wav_path.unlink(missing_ok=True) | |
| return wav_path, True, "ok" | |
| def main(): | |
| parser = argparse.ArgumentParser( | |
| description="Convert WAV → MP3 (192kbps) across dataset" | |
| ) | |
| parser.add_argument( | |
| "--dir", | |
| type=str, | |
| default=None, | |
| help="Subdirectory relative to BASE_DIR (e.g. fake/acestep)", | |
| ) | |
| parser.add_argument( | |
| "--dry-run", action="store_true", help="List files without converting" | |
| ) | |
| parser.add_argument( | |
| "--keep-wav", action="store_true", help="Keep original WAV after conversion" | |
| ) | |
| parser.add_argument( | |
| "--workers", type=int, default=6, help="Parallel ffmpeg workers" | |
| ) | |
| args = parser.parse_args() | |
| search_root = BASE_DIR / args.dir if args.dir else BASE_DIR | |
| if not search_root.exists(): | |
| print(f"Directory not found: {search_root}") | |
| sys.exit(1) | |
| wav_files = sorted(search_root.rglob("*.wav")) | |
| if not wav_files: | |
| print("No WAV files found.") | |
| return | |
| total_size = sum(f.stat().st_size for f in wav_files) | |
| print(f"Found {len(wav_files)} WAV files ({total_size / 1024**3:.1f} GB)") | |
| if args.dry_run: | |
| for f in wav_files[:20]: | |
| print(f" {f.relative_to(BASE_DIR)}") | |
| if len(wav_files) > 20: | |
| print(f" ... and {len(wav_files) - 20} more") | |
| return | |
| success = 0 | |
| failed = 0 | |
| with ThreadPoolExecutor(max_workers=args.workers) as pool: | |
| futures = {pool.submit(convert_one, f, args.keep_wav): f for f in wav_files} | |
| with tqdm(total=len(wav_files), desc="WAV→MP3", unit="file") as pbar: | |
| for future in as_completed(futures): | |
| path, ok, msg = future.result() | |
| if ok: | |
| success += 1 | |
| else: | |
| failed += 1 | |
| tqdm.write(f"FAIL: {path.relative_to(BASE_DIR)} — {msg}") | |
| pbar.update(1) | |
| print(f"\nDone: {success} converted, {failed} failed") | |
| if __name__ == "__main__": | |
| main() | |