Datasets:
File size: 2,542 Bytes
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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() |