update_hf_dataset.py

from huggingface_hub import HfApi
import os
import glob


def update_huggingface_dataset(repo_name, repo_type="dataset"):
    """
    Update/overwrite files in an existing Hugging Face dataset repository,
    excluding the video subfolder.

    Args:
        repo_name (str): Name of the repository (format: "username/repo-name")
        repo_type (str): Type of repository ("dataset" or "model")
    """
    # Initialize the Hugging Face API
    api = HfApi()

    try:
        # Get the current directory (root of the repository)
        repo_root = "/nas/pohan/datasets/AIConfVideo/learningpaper24"

        # Get all files and directories except the video folder
        files_to_upload = []
        for root, dirs, files in os.walk(repo_root):
            # Skip the video directory
            if "video" in dirs:
                dirs.remove("video")

            for file in files:
                file_path = os.path.join(root, file)
                rel_path = os.path.relpath(file_path, repo_root)
                files_to_upload.append((file_path, rel_path))

        # Upload each file individually
        for file_path, rel_path in files_to_upload:
            api.upload_file(
                path_or_fileobj=file_path,
                path_in_repo=rel_path,
                repo_id=repo_name,
                repo_type=repo_type,
                commit_message=f"Update file: {rel_path}",
            )
            print(f"Uploaded: {rel_path}")

        print(f"Successfully updated all files (except video folder) in {repo_name}")

    except Exception as e:
        print(f"Error occurred: {str(e)}")


if __name__ == "__main__":
    # Replace with your repository name
    REPO_NAME = "vivianchen98/LearningPaper24"  # Your dataset repository name

    update_huggingface_dataset(REPO_NAME)