replace output_size with md5 col

vi_backbones.py

@@ -1,5 +1,6 @@
 import os
 import re
+import hashlib
 import requests
 import datasets
 from bs4 import BeautifulSoup
@@ -21,14 +22,33 @@ class vi_backbones(datasets.GeneratorBasedBuilder):
                     "ver": datasets.Value("string"),
                     "type": datasets.Value("string"),
                     "input_size": datasets.Value("int16"),
-                    "output_size": datasets.Value("int64"),
                     "url": datasets.Value("string"),
+                    "md5": datasets.Value("string"),
                 }
             ),
             supervised_keys=("ver", "type"),
             homepage=_HOMEPAGE,
             license="mit"
         )
+        
+    def _get_file_md5(self, url):
+        """
+        通过 URL 计算文件的 MD5 值
+
+        :param url: 文件 URL 地址
+        :return: 文件的 MD5 值
+        """
+        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):  # 分块读取文件流，每次读取1MB数据
+                    md5obj.update(chunk)   # 更新哈希值
+                return md5obj.hexdigest()  # 返回MD5值
+            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)
@@ -42,12 +62,10 @@ class vi_backbones(datasets.GeneratorBasedBuilder):
             m_type = 'resnet'
         m_url = str(url_span.text[1:-1])
         input_size = int(size_span.text)
-        # num_params = int(params_span.text)
         m_dict = {
             'ver': m_ver,
             'type': m_type,
             'input_size': input_size,
-            # 'num_params': num_params,
             'url': m_url
         }
         return m_dict, size_span
@@ -117,6 +135,6 @@ class vi_backbones(datasets.GeneratorBasedBuilder):
                 "ver": model['ver'],
                 "type": model['type'],
                 "input_size": model['input_size'],
-                "output_size": 9216,
                 "url": model['url'],
+                "md5": self._get_file_md5(model['url']),
             }