Add files using upload-large-folder tool

CTCDataset/Fluo-N2DH-GOWT1/01_GT/TRA/man_track.txt

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push_hf.py

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+# #!/usr/bin/env python3
+# """
+# Script to upload multiple datasets to Hugging Face Hub
+# Uploads all datasets except CTCdataset_COCO to ItsMaxNorm/CytoCTCs
+# """
+
+# import os
+# import sys
+# from pathlib import Path
+# from huggingface_hub import HfApi, create_repo, upload_folder
+# import argparse
+
+# def upload_datasets_to_hf(base_path, repo_id, token=None):
+#     """
+#     Upload multiple dataset folders to Hugging Face Hub
+    
+#     Args:
+#         base_path: Path to the directory containing dataset folders
+#         repo_id: Hugging Face repository ID (e.g., "ItsMaxNorm/CytoCTCs")
+#         token: Hugging Face API token (optional if already logged in via CLI)
+#     """
+#     # Initialize the Hugging Face API
+#     api = HfApi(token=token)
+    
+#     # Define folders to upload (excluding CTCdataset_COCO)
+#     folders_to_upload = ["Bacteria", "CTCDataset", "DEEPCELL"]
+    
+#     # Convert base_path to Path object
+#     base_path = Path(base_path)
+    
+#     # Check if base path exists
+#     if not base_path.exists():
+#         print(f"Error: Base path {base_path} does not exist!")
+#         return
+    
+#     # Try to create the repository (will not fail if it already exists)
+#     try:
+#         create_repo(repo_id, repo_type="dataset", token=token, exist_ok=True)
+#         print(f"Repository {repo_id} is ready")
+#     except Exception as e:
+#         print(f"Note: {e}")
+    
+#     # Upload each folder
+#     for folder_name in folders_to_upload:
+#         folder_path = base_path / folder_name
+        
+#         if not folder_path.exists():
+#             print(f"Warning: Folder {folder_path} does not exist, skipping...")
+#             continue
+        
+#         if not folder_path.is_dir():
+#             print(f"Warning: {folder_path} is not a directory, skipping...")
+#             continue
+        
+#         print(f"\nUploading {folder_name}...")
+        
+#         try:
+#             # Upload the folder to a subdirectory in the repo
+#             upload_folder(
+#                 folder_path=str(folder_path),
+#                 path_in_repo=folder_name,  # This creates a subdirectory in the repo
+#                 repo_id=repo_id,
+#                 repo_type="dataset",
+#                 token=token,
+#                 ignore_patterns=["*.pyc", "__pycache__", ".git", ".DS_Store"]
+#             )
+#             print(f"✓ Successfully uploaded {folder_name}")
+            
+#         except Exception as e:
+#             print(f"✗ Error uploading {folder_name}: {e}")
+#             continue
+    
+#     print(f"\nAll uploads completed! Check your repository at: https://huggingface.co/datasets/{repo_id}")
+
+# def main():
+#     parser = argparse.ArgumentParser(description="Upload datasets to Hugging Face Hub")
+#     parser.add_argument(
+#         "--path",
+#         type=str,
+#         default="/l/users/sahal.mullappilly/Komal/documents/Cell",
+#         help="Base path containing the dataset folders"
+#     )
+#     parser.add_argument(
+#         "--repo",
+#         type=str,
+#         default="ItsMaxNorm/CytoCTCs",
+#         help="Hugging Face repository ID"
+#     )
+#     parser.add_argument(
+#         "--token",
+#         type=str,
+#         default=None,
+#         help="Hugging Face API token (optional if logged in via CLI)"
+#     )
+    
+#     args = parser.parse_args()
+    
+#     # If no token provided, try to get it from environment variable
+#     if args.token is None:
+#         args.token = os.environ.get("HF_TOKEN")
+    
+#     print(f"Starting upload process...")
+#     print(f"Base path: {args.path}")
+#     print(f"Repository: {args.repo}")
+#     print(f"Folders to upload: Bacteria, CTCDataset, DEEPCELL, finetuning")
+#     print(f"Excluding: CTCdataset_COCO")
+#     print("-" * 50)
+    
+#     upload_datasets_to_hf(args.path, args.repo, args.token)
+
+if __name__ == "__main__":
+    from huggingface_hub import HfApi
+    api = HfApi()
+
+    api.upload_large_folder(
+        folder_path="/l/users/sahal.mullappilly/Komal/documents/Cell",
+        repo_id="ItsMaxNorm/CytoCTCs",
+        repo_type="dataset",
+    )