noop-bench / fetch_artwork.py
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"""
Fetches the 'artwork' domain (WikiArt-derived) images for NoOp-Bench.
WikiArt's own terms of use (https://www.wikiart.org/store/terms-of-use)
prohibit reproducing or republishing their content on other sites without
written consent, so these images are NOT bundled in noopbench_inputs_public.zip.
Run this script with your own Kaggle credentials to reconstruct them locally.
Requires: pip install kaggle Pillow
Requires: ~/.kaggle/kaggle.json with your own Kaggle API credentials
(see https://www.kaggle.com/docs/api for how to generate one)
Usage: python fetch_artwork.py [--count 2500] [--out data_512_full/artwork]
"""
import argparse
import csv
import time
import zipfile
from pathlib import Path
from PIL import Image
parser = argparse.ArgumentParser()
parser.add_argument("--count", type=int, default=2500, help="number of images to fetch")
parser.add_argument("--out", type=str, default="data_512_full/artwork", help="output directory")
parser.add_argument("--pacing", type=float, default=1.5, help="seconds between requests")
args = parser.parse_args()
OUT = Path(args.out)
TMP = Path("_tmp_wikiart_download")
OUT.mkdir(parents=True, exist_ok=True)
TMP.mkdir(parents=True, exist_ok=True)
from kaggle import KaggleApi
api = KaggleApi()
api.authenticate()
print("Kaggle auth OK")
def resize_file(src, out_path):
try:
img = Image.open(src).convert("RGB")
img = img.resize((512, 512), Image.LANCZOS)
img.save(out_path)
return True
except Exception as e:
print(f" [skip] {out_path.name}: {e}")
return False
def download_kaggle_file(dataset_slug, file_name, dest_dir, max_retries=4, backoff_base=20):
# Nested paths (e.g. "Style/artist_title.jpg") need the "/" percent-encoded,
# otherwise Kaggle's API routes it as a literal path segment and 404s.
api_name = file_name.replace("/", "%2F")
for attempt in range(max_retries):
try:
api.dataset_download_file(dataset_slug, api_name, path=str(dest_dir), force=False, quiet=True)
return True
except Exception as e:
if "429" in str(e) and attempt < max_retries - 1:
wait = backoff_base * (attempt + 1)
print(f" [429] backing off {wait}s...")
time.sleep(wait)
continue
return False
return False
def fetch_one(fname, out_idx):
out = OUT / f"artwork_wikiart_{out_idx:05d}.png"
if out.exists():
return True
if not download_kaggle_file("steubk/wikiart", fname, TMP):
return False
basename = Path(fname).name
# Kaggle saves nested-path files with the encoded path baked into the
# filename (e.g. "Style%2Fartist_title.jpg"), not a clean basename.
downloaded = [p for p in TMP.rglob("*") if p.is_file() and p.name.endswith(basename)]
if downloaded:
ok = resize_file(downloaded[0], out)
downloaded[0].unlink(missing_ok=True)
return ok
return False
existing = len(list(OUT.glob("*.png")))
needed = args.count
print(f"artwork: {existing}/{needed} already have")
if existing < needed:
img_files = []
page_token = None
while len(img_files) < needed + 200:
resp = api.dataset_list_files("steubk/wikiart", page_token=page_token, page_size=200)
batch = [f.name for f in resp.dataset_files if f.name.lower().endswith((".jpg", ".jpeg", ".png"))]
img_files.extend(batch)
page_token = getattr(resp, "next_page_token", None)
if not page_token or not resp.dataset_files:
break
print(f"listed {len(img_files)} candidate files")
manifest_path = Path("artwork_fetch_manifest.csv")
with open(manifest_path, "a", newline="") as mf:
writer = csv.writer(mf)
if manifest_path.stat().st_size == 0:
writer.writerow(["out_index", "source_filename"])
done = existing
errors = 0
for n, fname in enumerate(img_files[existing:]):
if done >= needed:
break
out_idx = existing + n
ok = fetch_one(fname, out_idx)
if ok:
writer.writerow([out_idx, fname])
mf.flush()
done += 1
else:
errors += 1
if done % 50 == 0:
print(f" artwork: {done}/{needed} (errors so far: {errors})")
time.sleep(args.pacing)
print(f"artwork done: {len(list(OUT.glob('*.png')))} images")
print(f"Manifest of source filenames written to artwork_fetch_manifest.csv")