Datasets:
Tasks:
Audio Classification
Modalities:
Audio
Formats:
soundfolder
Languages:
Chinese
Size:
< 1K
License:
File size: 3,404 Bytes
7d604c8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 | import argparse
import csv
import uuid
import wave
from pathlib import Path
def read_wav_info(wav_path: Path) -> tuple[int, float]:
with wave.open(str(wav_path), "rb") as wav_file:
sample_rate = wav_file.getframerate()
frame_count = wav_file.getnframes()
duration_seconds = frame_count / sample_rate if sample_rate else 0.0
return sample_rate, duration_seconds
def collect_metadata(raw_dir: Path) -> list[dict[str, object]]:
wav_files = sorted(raw_dir.glob("*.wav"))
metadata = []
for index, wav_path in enumerate(wav_files):
sample_rate, duration_seconds = read_wav_info(wav_path)
sequence = f"{index:08d}"
metadata.append(
{
"source_path": wav_path,
"sequence": sequence,
"sample_rate": sample_rate,
"duration_seconds": duration_seconds,
}
)
return metadata
def rename_files(metadata: list[dict[str, object]]) -> None:
rename_pairs = []
finalized_pairs = []
for item in metadata:
source_path = item["source_path"]
temp_name = f".__tmp__{uuid.uuid4().hex}.wav"
temp_path = source_path.with_name(temp_name)
source_path.rename(temp_path)
rename_pairs.append((temp_path, source_path))
item["source_path"] = temp_path
try:
for item in metadata:
temp_path = item["source_path"]
final_path = temp_path.with_name(f"{item['sequence']}.wav")
temp_path.rename(final_path)
finalized_pairs.append((final_path, temp_path))
item["final_path"] = final_path
except Exception:
for final_path, temp_path in reversed(finalized_pairs):
if final_path.exists():
final_path.rename(temp_path)
for temp_path, original_path in rename_pairs:
if temp_path.exists():
temp_path.rename(original_path)
raise
def write_csv(csv_path: Path, metadata: list[dict[str, object]]) -> None:
with csv_path.open("w", newline="", encoding="utf-8-sig") as csv_file:
writer = csv.DictWriter(
csv_file,
fieldnames=["sequence", "sample_rate", "duration_seconds"],
)
writer.writeheader()
for item in metadata:
writer.writerow(
{
"sequence": item["sequence"],
"sample_rate": item["sample_rate"],
"duration_seconds": f"{item['duration_seconds']:.6f}",
}
)
def main() -> None:
parser = argparse.ArgumentParser(
description="Rename WAV files under raw/ to 8-digit integers and rebuild raw.csv."
)
parser.add_argument("--raw-dir", default="raw", help="Directory containing WAV files.")
parser.add_argument("--csv-path", default="raw.csv", help="Output CSV path.")
args = parser.parse_args()
raw_dir = Path(args.raw_dir).resolve()
csv_path = Path(args.csv_path).resolve()
if not raw_dir.exists():
raise FileNotFoundError(f"Raw directory not found: {raw_dir}")
metadata = collect_metadata(raw_dir)
rename_files(metadata)
write_csv(csv_path, metadata)
print(f"Processed {len(metadata)} wav files.")
print(f"Renamed files in: {raw_dir}")
print(f"Wrote metadata to: {csv_path}")
if __name__ == "__main__":
main()
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