Delete update_hf_dataset.py

update_hf_dataset.py

@@ -1,59 +0,0 @@
-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")
-
-            # also skip this script
-            if root.endswith("update_hf_dataset.py"):
-                continue
-
-            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)