Update HuffPost.py

HuffPost.py

@@ -51,8 +51,7 @@ _HOMEPAGE = "https://www.kaggle.com/datasets/rmisra/news-category-dataset"
 
 _LICENSE = "CC0: Public Domain"
 
-_URLS = { "train":"https://huggingface.co/datasets/khalidalt/HuffPost/resolve/main/News_Category_Dataset_v2.json",
-}
+_URLS = "https://huggingface.co/datasets/khalidalt/HuffPost/resolve/main/News_Category_Dataset_v2.json"
 
 
 
@@ -73,12 +72,13 @@ class HuffPost(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'first_domain')
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="text", version=VERSION, description="text of the data"),
+        datasets.BuilderConfig(name="default", version=VERSION, description="Default config"),
     ]
-
+    
+    DEFAULT_CONFIG_NAME = "default"
 
     def _info(self):
-
+        
         features = datasets.Features(
             {
                 "category": datasets.Value("string"),
@@ -86,7 +86,7 @@ class HuffPost(datasets.GeneratorBasedBuilder):
                 "authors": datasets.Value("string"),
                 "link": datasets.Value("string"),
                 "short_description": datasets.Value("string"),
-                "date": dataset.Value("string"),
+                #"date": dataset.Value("string"),
                 # These are the features of your dataset like images, labels ...
             }
             )
@@ -114,18 +114,13 @@ class HuffPost(datasets.GeneratorBasedBuilder):
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-        urls = _URLS[self.config.name]
-        data_dir = dl_manager.download_and_extract(urls)
+
+        data_dir = dl_manager.download_and_extract(_URLS)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train.json"),
-                    "split": "train",
-                },
+                gen_kwargs={"filepath": data_dir},
             ),
-
         ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
@@ -143,5 +138,5 @@ class HuffPost(datasets.GeneratorBasedBuilder):
                     "authors": data["authors"],
                     "link": data["link"],
                     "short_description": data["short_description"],
-                    "date": data["date"],
+                    #"date": data["date"],
                 }