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