cvikl's picture
Add files using upload-large-folder tool
e702913 verified
Raw
History Blame Contribute Delete
1.37 kB
"""
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)
# Kaggle nests the image folder: images/images/*.jpg -> flatten to images/
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()