Upload /mnt/data1/andrew/core_datasets/upload_dataset.py with huggingface_hub

mnt/data1/andrew/core_datasets/upload_dataset.py

@@ -0,0 +1,93 @@
+import os
+import sys
+from pathlib import Path
+from typing import List
+
+from huggingface_hub import HfApi, login
+
+
+def upload_to_huggingface(
+    token: str,
+    repo_id: str,
+    file_path: Path,
+    repo_type: str = "dataset",
+    create_repo: bool = True,
+    exclude_suffixes: List[str] = None,
+):
+    """
+    Upload a file or all files in a folder to Hugging Face Hub.
+
+    Args:
+        token: HuggingFace access token
+        repo_id: Repository ID (format: "username/repo-name")
+        file_path: Path to file or folder to upload
+        repo_type: Type of repository ("dataset" or "model")
+        create_repo: Whether to create the repo if it doesn't exist
+        exclude_suffixes (list[str]): List of suffixes to exclude from upload
+    """
+    try:
+        # Login to Hugging Face
+        login(token=token)
+        api = HfApi()
+
+        # Create repo if it doesn't exist and create_repo is True
+        if create_repo:
+            try:
+                api.create_repo(
+                    repo_id=repo_id, repo_type=repo_type, private=False, exist_ok=True
+                )
+            except Exception as e:
+                print(f"Note: Repository creation returned: {e}")
+
+        # Function to upload individual files
+        def upload_file(file: Path):
+            try:
+                print(f"Uploading {file} to {repo_id}...")
+                api.upload_file(
+                    path_or_fileobj=str(file),
+                    path_in_repo=str(file),
+                    repo_id=repo_id,
+                    repo_type=repo_type,
+                )
+                print(f"Successfully uploaded {file.name} to {repo_id}")
+            except Exception as e:
+                print(f"Error uploading {file}: {e}")
+
+        # If file_path is a directory, upload all files recursively
+        if file_path.is_dir():
+            for file in file_path.rglob("*"):
+                if file.is_file():
+                    # Skip files with specified suffixes
+                    if exclude_suffixes and any(
+                        file.name.endswith(suffix) for suffix in exclude_suffixes
+                    ):
+                        print(f"Skipping {file} due to matching exclude suffix.")
+                        continue
+                    upload_file(file)
+        else:
+            # If file_path is a single file, upload it
+            upload_file(file_path)
+
+    except Exception as e:
+        print(f"Error during upload process: {e}")
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    # Example usage
+    TOKEN = os.environ.get("HUGGING_FACE_HUB_TOKEN")
+    if TOKEN is None:
+        TOKEN = input("Please enter your Hugging Face Hub token: ")
+
+    REPO_ID = "robotlearning/cpgendata"  # Replace with your desired repo name
+    FILE_PATH = Path(
+        "/mnt/data1/andrew/core_datasets"
+    )  # Replace with your file or folder path
+    EXCLUDE_SUFFIXES = [".mp4"]  # Replace with your suffixes to exclude
+
+    upload_to_huggingface(
+        token=TOKEN,
+        repo_id=REPO_ID,
+        file_path=FILE_PATH,
+        exclude_suffixes=EXCLUDE_SUFFIXES,
+    )