folder to download only one folder of the dataset repository

download_folder.py

@@ -0,0 +1,41 @@
+from huggingface_hub import HfApi, hf_hub_download
+
+
+def download_folder(repo_id, repo_type, folder_path, local_dir):
+    """
+    Download an entire folder from a huggingface dataset repository.
+
+    repo_id : string
+        The ID of the repository (e.g., 'username/repo_name').
+    repo_type : string
+        Type of the repo, dataset or model.
+    folder_path : string
+        The path to the folder within the repository.
+    local_dir : string
+        Local folder to download the data. This mimics git behaviour
+    """
+    api = HfApi()
+    # list all files in the repo, keep the ones within folder_path
+    all_files = api.list_repo_files(repo_id, repo_type=repo_type)
+    files_list = [f for f in all_files if f.startswith(folder_path)]
+
+    # download each of those files
+    for file_path in files_list:
+        hf_hub_download(repo_id=repo_id, repo_type=repo_type,
+                        filename=file_path, local_dir=local_dir)
+
+
+# Download entire data/ folder
+repo_id = "NUS-UAL/global-streetscapes"
+repo_type = "dataset"
+folder_path = "data/" # replace the folder you want
+local_dir = "global-streetscapes/"
+
+# By degfault, huggingface download them to the .cache/huggingface folder
+download_folder(repo_id, repo_type, folder_path, local_dir)
+
+# Download 2 additional files
+hf_hub_download(repo_id=repo_id, repo_type=repo_type,
+                filename="cities688.csv", local_dir=local_dir)
+hf_hub_download(repo_id=repo_id, repo_type=repo_type,
+                filename="info.csv", local_dir=local_dir)