Update ultimate_arabic_news.py

ultimate_arabic_news.py

@@ -22,7 +22,7 @@ class UAN_Config(datasets.BuilderConfig):
         """
         super(UAN_Config, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
         
-            
+
 class Ultimate_Arabic_News(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.1.0")
     BUILDER_CONFIGS = [
@@ -47,58 +47,3 @@ class Ultimate_Arabic_News(datasets.GeneratorBasedBuilder):
         ),
     ]
 
-    def _info(self):
-        # TODO(tydiqa): Specifies the datasets.DatasetInfo object
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                {
-
-                    "text": datasets.Value("string"),
-                    "label": datasets.Value("string"),
-
-            ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="https://data.mendeley.com/datasets/jz56k5wxz7/1",
-            citation=_CITATION,
-        )
-
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(tydiqa): Downloads the data and defines the splits
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        UltAr_downloaded = dl_manager.download_and_extract(_URL['UltimateArabic'])
-        UltArPre_downloaded = dl_manager.download_and_extract(_URL['UltimateArabicPrePros'])
-        if self.config.name == "UltimateArabic":
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={"filepath": UltAr_downloaded["train"]},
-                ),
-            ]
-        elif self.config.name == "UltimateArabicPrePros":
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={"filepath": UltArPre_downloaded["train"]},
-                ),
-
-            ]
-            
-    def _generate_examples(self, csv_file):
-        with open(csv_file, encoding="utf-8") as f:
-            data =  csv.DictReader(f)
-            for row, item in enumerate(data):
-                yield row, {"text": item['text'],"label": item['label']}
-        
-