Update vi_backbones.py

vi_backbones.py

@@ -3,9 +3,7 @@ import re
 import hashlib
 import requests
 import datasets
-# import subprocess
 from bs4 import BeautifulSoup
-# subprocess.call(['pip', 'install', 'torchvision'])
 
 _DBNAME = os.path.basename(__file__).split('.')[0]
 _HOMEPAGE = "https://huggingface.co/datasets/george-chou/" + _DBNAME
@@ -32,26 +30,26 @@ class vi_backbones(datasets.GeneratorBasedBuilder):
             license="mit"
         )
 
-    def _get_file_md5(self, url):
-        """
-        Calculate the MD5 hash value of a file using its URL
-
-        :param url: the URL address of the file
-        :return: the MD5 hash value in string format
-        """
-        try:
-            response = requests.get(url, stream=True)
-            if response.status_code == 200:
-                md5obj = hashlib.md5()
-                for chunk in response.iter_content(chunk_size=1024*1024):
-                    md5obj.update(chunk)
-                return md5obj.hexdigest()
-            else:
-                raise ValueError(
-                    f"Error downloading file from {url}. Status code: {response.status_code}")
-        except Exception as e:
-            raise ValueError(
-                f"Error calculating MD5 of file at {url}: {str(e)}")
+    # def _get_file_md5(self, url):
+    #     """
+    #     Calculate the MD5 hash value of a file using its URL
+
+    #     :param url: the URL address of the file
+    #     :return: the MD5 hash value in string format
+    #     """
+    #     try:
+    #         response = requests.get(url, stream=True)
+    #         if response.status_code == 200:
+    #             md5obj = hashlib.md5()
+    #             for chunk in response.iter_content(chunk_size=1024*1024):
+    #                 md5obj.update(chunk)
+    #             return md5obj.hexdigest()
+    #         else:
+    #             raise ValueError(
+    #                 f"Error downloading file from {url}. Status code: {response.status_code}")
+    #     except Exception as e:
+    #         raise ValueError(
+    #             f"Error calculating MD5 of file at {url}: {str(e)}")
 
     def _parse_url(self, url):
         response = requests.get(url)
@@ -97,8 +95,6 @@ class vi_backbones(datasets.GeneratorBasedBuilder):
         ul = article.find('ul').find('ul')
         in1k_v1, in1k_v2 = [], []
 
-        # import torchvision.models as models
-
         for li in ul.find_all('li'):
             name = str(li.text)
             if name.__contains__('torchvision.models.') and len(name.split('.')) == 3: