Datasets:
Download download_mimic.py from KRAFTON/VLM-SubtleBench: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/datasets/KRAFTON/VLM-SubtleBench/resolve/main/download_mimic.py
- Command line
-
hf download hf://datasets/KRAFTON/VLM-SubtleBench/download_mimic.py
-
curl -L -o download_mimic.py https://huggingface.co/datasets/KRAFTON/VLM-SubtleBench/resolve/main/download_mimic.py
3.39 kB
| """ | |
| Download MIMIC-CXR images required by qa.json from PhysioNet. | |
| Prerequisites: | |
| 1. Create a PhysioNet account at https://physionet.org/ | |
| 2. Complete the required CITI training course | |
| 3. Sign the data use agreement for MIMIC-CXR-JPG v2.1.0 | |
| https://physionet.org/content/mimic-cxr-jpg/2.1.0/ | |
| Usage: | |
| python download_mimic.py --user <username> --password <password> | |
| """ | |
| import argparse | |
| import json | |
| import os | |
| import subprocess | |
| import sys | |
| BASE_URL = "https://physionet.org/files/mimic-cxr-jpg/2.1.0/files" | |
| def get_required_images(qa_path: str) -> list[str]: | |
| """Extract unique MIMIC image paths from qa.json.""" | |
| with open(qa_path) as f: | |
| data = json.load(f) | |
| images = set() | |
| for entry in data: | |
| for key in ("image_1", "image_2"): | |
| path = entry.get(key, "") | |
| if path.startswith("images/mimic/"): | |
| images.add(path) | |
| return sorted(images) | |
| def download_images(images: list[str], user: str, password: str, root_dir: str): | |
| """Download images from PhysioNet and place them at the expected paths.""" | |
| total = len(images) | |
| print(f"Found {total} MIMIC-CXR images to download.\n") | |
| skipped = 0 | |
| downloaded = 0 | |
| failed = 0 | |
| for i, image_path in enumerate(images, 1): | |
| dest = os.path.join(root_dir, image_path) | |
| if os.path.exists(dest): | |
| skipped += 1 | |
| continue | |
| # images/mimic/p15/p15592981/s55194630/xxx.jpg -> p15/p15592981/s55194630/xxx.jpg | |
| physionet_path = image_path.removeprefix("images/mimic/") | |
| url = f"{BASE_URL}/{physionet_path}" | |
| os.makedirs(os.path.dirname(dest), exist_ok=True) | |
| print(f"[{i}/{total}] Downloading {physionet_path} ...") | |
| result = subprocess.run( | |
| [ | |
| "wget", "-q", "-O", dest, | |
| "--user", user, | |
| "--password", password, | |
| url, | |
| ], | |
| capture_output=True, | |
| text=True, | |
| ) | |
| if result.returncode != 0: | |
| failed += 1 | |
| print(f" FAILED: {result.stderr.strip()}") | |
| # Remove empty file on failure | |
| if os.path.exists(dest) and os.path.getsize(dest) == 0: | |
| os.remove(dest) | |
| else: | |
| downloaded += 1 | |
| print(f"\nDone: {downloaded} downloaded, {skipped} skipped (already exist), {failed} failed.") | |
| if failed > 0: | |
| print("Re-run the script to retry failed downloads.") | |
| def main(): | |
| parser = argparse.ArgumentParser(description="Download MIMIC-CXR images for VLM-SubtleBench.") | |
| parser.add_argument("--user", required=True, help="PhysioNet username") | |
| parser.add_argument("--password", required=True, help="PhysioNet password") | |
| parser.add_argument("--qa-path", default=None, help="Path to qa.json (default: qa.json in the same directory as this script)") | |
| args = parser.parse_args() | |
| root_dir = os.path.dirname(os.path.abspath(__file__)) | |
| qa_path = args.qa_path or os.path.join(root_dir, "qa.json") | |
| if not os.path.exists(qa_path): | |
| print(f"Error: qa.json not found at {qa_path}", file=sys.stderr) | |
| sys.exit(1) | |
| images = get_required_images(qa_path) | |
| if not images: | |
| print("No MIMIC-CXR images found in qa.json.") | |
| sys.exit(0) | |
| download_images(images, args.user, args.password, root_dir) | |
| if __name__ == "__main__": | |
| main() | |