scripts/upload_hf_dataset.py

from __future__ import annotations

import argparse
from pathlib import Path

from huggingface_hub import HfApi, create_repo


def main() -> None:
    parser = argparse.ArgumentParser(description="Upload this release package to a Hugging Face dataset repository.")
    parser.add_argument("--repo-id", default="ureca07/lol_viewport")
    parser.add_argument("--private", action="store_true")
    args = parser.parse_args()

    root = Path(__file__).resolve().parents[1]
    create_repo(args.repo_id, repo_type="dataset", private=args.private, exist_ok=True)
    api = HfApi()
    api.upload_folder(
        repo_id=args.repo_id,
        repo_type="dataset",
        folder_path=str(root),
        ignore_patterns=[
            ".git/*",
            "__pycache__/*",
            "*/__pycache__/*",
            "checkpoints/*",
            "outputs/*",
            "data/raw_videos/*",
            "*.mp4",
            "*.avi",
            "*.mov",
            "*.mkv",
            "*.pth",
            "*.pt",
            "*.ckpt",
        ],
        commit_message="Add LoL viewport prediction public release",
    )


if __name__ == "__main__":
    main()