| | |
| | |
| | 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() |
| |
|