Upload dataset_upload.py with huggingface_hub

dataset_upload.py

@@ -0,0 +1,38 @@
+import os
+from huggingface_hub import upload_file, list_repo_files
+from tqdm import tqdm
+
+# === CONFIGURATION ===
+local_folder = "./"  # Replace with your local folder
+repo_id = "unibuc-cs/Emotion3DFromAction"  # Replace with your dataset repo
+repo_type = "dataset"
+target_folder_in_repo = ""  # e.g., "data/" or "" for root
+
+# === Get list of existing files in the repo ===
+existing_files = list_repo_files(repo_id=repo_id, repo_type=repo_type)
+
+# === UPLOAD FUNCTION ===
+def upload_folder(local_folder, repo_id, target_folder_in_repo=""):
+    for root, _, files in os.walk(local_folder):
+        for filename in tqdm(files, desc="Uploading files"):
+            local_path = os.path.join(root, filename)
+            relative_path = os.path.relpath(local_path, start=local_folder)
+            hf_path = os.path.join(target_folder_in_repo, relative_path).replace("\\", "/")  # for Windows paths
+
+            if hf_path in existing_files:
+                print(f"Skipped (already exists): {hf_path}")
+                continue
+
+            try:
+                upload_file(
+                    path_or_fileobj=local_path,
+                    path_in_repo=hf_path,
+                    repo_id=repo_id,
+                    repo_type="dataset",
+                )
+                print(f"Uploaded: {hf_path}")
+            except Exception as e:
+                print(f"Failed to upload {hf_path}: {e}")
+
+# === RUN UPLOAD ===
+upload_folder(local_folder, repo_id, target_folder_in_repo)