Datasets:
Download scripts/make_mini_subset.py from mandipgoswami/rirmega: direct link, hf CLI and curl.
- Browser
- Download file 1.63 kB
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https://huggingface.co/datasets/mandipgoswami/rirmega/resolve/refs%2Fpr%2F2/scripts/make_mini_subset.py
- Command line
-
hf download hf://datasets/mandipgoswami/rirmega@refs/pr/2/scripts/make_mini_subset.py
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curl -L -o make_mini_subset.py https://huggingface.co/datasets/mandipgoswami/rirmega/resolve/refs%2Fpr%2F2/scripts/make_mini_subset.py
1.63 kB
| # 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() | |