Datasets:

Modalities:
Image
ArXiv:
Visual_scaling_static / smart /SMART101-release-v1 /create_smart101_subset_zip.py
Yezixiao's picture
Upload folder using huggingface_hub
1f085d8 verified
#!/usr/bin/env python3
from __future__ import annotations
import argparse
import re
from pathlib import Path
from zipfile import ZIP_DEFLATED, ZipFile
IMAGE_ID_RE = re.compile(r"(?:_e)?_(\d+)\.[^.]+$")
def image_sort_key(path: Path) -> tuple[int, str]:
match = IMAGE_ID_RE.search(path.name)
if match:
return int(match.group(1)), path.name
return 10**12, path.name
def collect_first_n_images(img_dir: Path, limit: int) -> list[Path]:
images = [p for p in img_dir.iterdir() if p.is_file() and IMAGE_ID_RE.search(p.name)]
return sorted(images, key=image_sort_key)[:limit]
def build_zip(dataset_root: Path, output_zip: Path, image_limit: int) -> None:
with ZipFile(output_zip, "w", compression=ZIP_DEFLATED) as zf:
readme = dataset_root / "README.md"
if readme.exists():
zf.write(readme, readme.relative_to(dataset_root))
puzzle_type_info = dataset_root / "puzzle_type_info.csv"
if puzzle_type_info.exists():
zf.write(puzzle_type_info, puzzle_type_info.relative_to(dataset_root))
smart_data_dir = dataset_root / "SMART101-Data"
for puzzle_dir in sorted(
[p for p in smart_data_dir.iterdir() if p.is_dir()],
key=lambda p: int(p.name),
):
csv_files = sorted(puzzle_dir.glob("*.csv"))
for csv_file in csv_files:
zf.write(csv_file, csv_file.relative_to(dataset_root))
img_dir = puzzle_dir / "img"
if not img_dir.exists():
continue
for image_path in collect_first_n_images(img_dir, image_limit):
zf.write(image_path, image_path.relative_to(dataset_root))
def main() -> None:
parser = argparse.ArgumentParser(
description="Create a SMART101 zip archive with all CSVs and only the first N images per img directory."
)
parser.add_argument(
"--dataset-root",
type=Path,
default=Path(__file__).resolve().parent,
help="Path containing README.md, puzzle_type_info.csv, and SMART101-Data/.",
)
parser.add_argument(
"--output",
type=Path,
default=Path("SMART101-first20-images.zip"),
help="Output zip file path.",
)
parser.add_argument(
"--image-limit",
type=int,
default=20,
help="Number of images to keep from each img directory.",
)
args = parser.parse_args()
dataset_root = args.dataset_root.resolve()
output_zip = args.output.resolve()
output_zip.parent.mkdir(parents=True, exist_ok=True)
build_zip(dataset_root, output_zip, args.image_limit)
print(f"Created {output_zip}")
if __name__ == "__main__":
main()