Create upload_zip_to_hub.py

upload_zip_to_hub.py

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+import os
+import zipfile
+from huggingface_hub import HfApi, HfFolder
+
+# Define the root directory containing all datasets
+base_root = "data"  # Replace with the directory containing all datasets
+dataset_repo = "XavierJiezou/Cloud-Adapter"  # Hugging Face repository name
+dataset_names = [
+    "hrc_whu",
+    "gf12ms_whu_gf1",
+    "gf12ms_whu_gf2",
+    "cloudsen12_high_l1c",
+    "cloudsen12_high_l2a",
+    "l8_biome",
+]
+
+# Function to create a ZIP file for a dataset directory
+def create_zip(dataset_path, output_path):
+    """
+    Compress a dataset directory into a ZIP file.
+
+    Args:
+        dataset_path (str): Path to the dataset directory.
+        output_path (str): Path to save the ZIP file.
+    """
+    with zipfile.ZipFile(output_path, 'w', zipfile.ZIP_DEFLATED) as zipf:
+        for root, _, files in os.walk(dataset_path):
+            for file in files:
+                file_path = os.path.join(root, file)
+                arcname = os.path.relpath(file_path, dataset_path)
+                zipf.write(file_path, arcname)
+    print(f"Compressed {dataset_path} into {output_path}")
+
+# Function to upload ZIP files to Hugging Face Hub
+def upload_zip_to_hub(dataset_name, zip_path, repo_name):
+    """
+    Upload a ZIP file to a Hugging Face repository.
+
+    Args:
+        dataset_name (str): Name of the dataset (used as a file identifier).
+        zip_path (str): Path to the ZIP file.
+        repo_name (str): Hugging Face repository name.
+    """
+    api = HfApi()
+    token = HfFolder.get_token()
+    file_name = f"{dataset_name}.zip"
+    api.upload_file(
+        path_or_fileobj=zip_path,
+        path_in_repo=file_name,
+        repo_id=repo_name,
+        repo_type="dataset",
+        token=token,
+    )
+    print(f"Uploaded {file_name} to {repo_name}")
+
+# Main script
+if __name__ == "__main__":
+    for dataset_name in dataset_names:
+        dataset_path = os.path.join(base_root, dataset_name)
+        if not os.path.exists(dataset_path):
+            print(f"Dataset directory does not exist: {dataset_path}")
+            continue
+        
+        # Create ZIP file
+        zip_path = f"{dataset_name}.zip"
+        create_zip(dataset_path, zip_path)
+        
+        # Upload ZIP file to Hugging Face Hub
+        upload_zip_to_hub(dataset_name, zip_path, dataset_repo)