Datasets:
File size: 1,634 Bytes
ee24db9 |
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 |
# scripts/make_mini_subset.py
# Create a tiny subset under data-mini/ for quick demos/Spaces.
import os, shutil
from pathlib import Path
import pandas as pd
ROOT = Path(__file__).resolve().parents[1]
SRC_META = ROOT / "data" / "metadata" / "metadata.csv"
SRC_DATA = ROOT / "data"
DST = ROOT / "data-mini"
N_TRAIN = 200
N_VALID = 50
def main():
if not SRC_META.exists():
raise SystemExit(f"Missing: {SRC_META}")
df = pd.read_csv(SRC_META)
if "wav" not in df.columns or "split" not in df.columns:
raise SystemExit("metadata.csv must have 'wav' and 'split' columns")
train = df[df["split"].str.lower()=="train"].sample(min(N_TRAIN, sum(df["split"].str.lower()=="train")), random_state=0)
valid = df[df["split"].str.lower()=="valid"]
if len(valid)==0:
valid = df[df["split"].str.lower()=="train"].drop(train.index).sample(min(N_VALID, len(df)), random_state=0)
valid = valid.assign(split="valid")
sub = pd.concat([train, valid], ignore_index=True).copy()
if DST.exists(): shutil.rmtree(DST)
(DST / "metadata").mkdir(parents=True, exist_ok=True)
copied = 0
for _, r in sub.iterrows():
wav = str(r["wav"]).strip()
src = (SRC_DATA / wav) if not os.path.isabs(wav) else Path(wav)
if not src.exists():
continue
dest = DST / wav
dest.parent.mkdir(parents=True, exist_ok=True)
shutil.copy2(src, dest)
copied += 1
sub.to_csv(DST / "metadata" / "metadata.csv", index=False)
print(f"Copied {copied} files. Wrote {DST / 'metadata' / 'metadata.csv'}")
if __name__ == "__main__":
main()
|