Datasets:
Download folder.py from TanSeng/ViInfographicVQA: direct link, hf CLI and curl.
- Browser
- Download file 2.54 kB
-
https://huggingface.co/datasets/TanSeng/ViInfographicVQA/resolve/main/folder.py
- Command line
-
hf download hf://datasets/TanSeng/ViInfographicVQA/folder.py
-
curl -L -o folder.py https://huggingface.co/datasets/TanSeng/ViInfographicVQA/resolve/main/folder.py
2.54 kB
| import os | |
| import argparse | |
| import logging | |
| from huggingface_hub import HfApi, login | |
| logging.basicConfig(level=logging.INFO) | |
| logger = logging.getLogger("hf-uploader") | |
| def main(): | |
| p = argparse.ArgumentParser(description="Upload images/ folder and README.md to a HF dataset repo") | |
| p.add_argument("--repo_id", required=True, help="e.g. VLAI-AIVN/ViInfographicVQA") | |
| p.add_argument("--hf_token", default=None, help="Optional; or use `huggingface-cli login`") | |
| p.add_argument("--images_dir", default="images", help="Local images folder to upload") | |
| p.add_argument("--readme", default="README.md", help="Local README.md to upload") | |
| p.add_argument("--branch", default=None, help="Optional target revision/branch (e.g., parquet-v1)") | |
| p.add_argument("--commit_message", default="Upload images folder and README", help="Commit message") | |
| p.add_argument("--skip_images", action="store_true", help="Skip uploading images folder") | |
| p.add_argument("--skip_readme", action="store_true", help="Skip uploading README.md") | |
| args = p.parse_args() | |
| if args.hf_token: | |
| login(token=args.hf_token) | |
| api = HfApi() | |
| # Upload images folder | |
| if not args.skip_images: | |
| if not os.path.isdir(args.images_dir): | |
| raise FileNotFoundError(f"images_dir not found: {args.images_dir}") | |
| logger.info(f"Uploading folder '{args.images_dir}' -> {args.repo_id}/images (repo_type=dataset)") | |
| api.upload_folder( | |
| folder_path=args.images_dir, | |
| repo_id=args.repo_id, | |
| repo_type="dataset", | |
| path_in_repo="images", | |
| commit_message=args.commit_message, | |
| revision=args.branch, | |
| allow_patterns=None, # or e.g. ["*.jpg","*.png"] | |
| ignore_patterns=None, | |
| ) | |
| logger.info("✅ Images uploaded") | |
| # Upload README.md | |
| if not args.skip_readme: | |
| if not os.path.isfile(args.readme): | |
| raise FileNotFoundError(f"README not found: {args.readme}") | |
| logger.info(f"Uploading README.md -> {args.repo_id}/README.md (repo_type=dataset)") | |
| api.upload_file( | |
| path_or_fileobj=args.readme, | |
| path_in_repo="README.md", | |
| repo_id=args.repo_id, | |
| repo_type="dataset", | |
| commit_message=args.commit_message, | |
| revision=args.branch, | |
| ) | |
| logger.info("✅ README uploaded") | |
| logger.info("🎉 Done.") | |
| if __name__ == "__main__": | |
| # Speed tip for large uploads: | |
| # export HF_HUB_ENABLE_HF_TRANSFER=1 | |
| main() |