| """ |
| Download the Religious Artwork Dataset from Kaggle into data/. |
| |
| Requires the Kaggle API (pip install kaggle) and either ~/.kaggle/kaggle.json |
| or the KAGGLE_API_TOKEN environment variable |
| (create a token at https://www.kaggle.com/settings). |
| |
| Usage: python data/download.py |
| """ |
|
|
| import shutil |
| import subprocess |
| import sys |
| import zipfile |
| from pathlib import Path |
|
|
| DATASET = "zigaklun/religious-artwork-dataset" |
| DATA = Path(__file__).resolve().parent |
|
|
|
|
| def main(): |
| zip_path = DATA / "religious-artwork-dataset.zip" |
| if not zip_path.exists(): |
| print(f"Downloading {DATASET} (~6 GB) ...") |
| r = subprocess.run(["kaggle", "datasets", "download", "-d", DATASET, |
| "-p", str(DATA)]) |
| if r.returncode != 0: |
| sys.exit("kaggle CLI failed — is your Kaggle API token set up?") |
| print("Unpacking ...") |
| with zipfile.ZipFile(zip_path) as z: |
| z.extractall(DATA) |
|
|
| |
| nested = DATA / "images" / "images" |
| if nested.is_dir(): |
| for f in nested.iterdir(): |
| shutil.move(str(f), DATA / "images" / f.name) |
| nested.rmdir() |
|
|
| n = len(list((DATA / "images").glob("*.jpg"))) |
| print(f"Done. data/artwork_metadata.csv + data/images/ ({n} images, expected 3997)") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|