diff --git a/computage/data_library/data_repository.py b/computage/data_library/data_repository.py
index f9665f6..b9fb03d 100644
--- a/computage/data_library/data_repository.py
+++ b/computage/data_library/data_repository.py
@@ -3,7 +3,55 @@
 """
 
 from typing import Any
+from tqdm.notebook import trange
+import requests
+import pickle
+import os
 
+def download_data(url: str,
+                  out_dir: str,
+                  file_name: str,
+                  force = False):
+    
+    """
+    Downloads data from a remote repository. Downloaded file is saved to out_dir/file_name
 
-def import_data(name: str) -> tuple[Any, Any]:
-    raise NotImplementedError
+    Parameters:
+        url (str): Repository web link
+        out_dir (str): Output directiory containing downloaded data
+        file_name (str): Output file name
+        force (bin): If True, enables overwriting
+
+    Returns:
+        None
+    """
+
+    # Streaming, so we can iterate over the response
+    response = requests.get(url, stream=True)
+
+    # Sizes in bytes
+    total_size = int(response.headers.get('content-length', 0))
+    block_size = 1024
+
+    # Create output directory if it doesn't exist
+    if not os.path.exists(out_dir): os.makedirs(out_dir)
+
+    # Output file path
+    out_path = f'{out_dir}/{file_name}'
+
+    # Download file if it doesn't exist
+    if os.path.exists(out_path) and force == False:
+        print('File exists, overwriting disabled. To enable, set "force" = True')
+    else:
+        with trange(1, total=total_size, desc=f'Loading {file_name}', unit='B', unit_scale=True) as progress_bar:
+            with open(out_path, 'wb') as f:
+                for data in response.iter_content(block_size):
+                    progress_bar.update(len(data))
+                    pickle.dump(data, f)
+        if total_size != 0 and progress_bar.n != total_size:
+            raise RuntimeError('Failed to download file. Please check if it exists in the remote repository.')
+
+def import_dataset(dataset_path: str) -> tuple[Any, Any]:
+    with open(dataset_path, 'rb') as f:
+        object = pickle.load(f)
+    return object
\ No newline at end of file