Update tota_gep_arpad.py

tota_gep_arpad.py

@@ -16,12 +16,9 @@
 # Lint as: python3
 """MIHVG TOTAWARPAD dataset."""
 
-
 import os
-
 import datasets
 
-
 _CITATION = """\
 @misc{
   author={Laszlo, David},
@@ -31,10 +28,9 @@ _CITATION = """\
 }"""
 
 _DESCRIPTION = """\
-Tota W. Arpad cikkei a hvg-rol \
+Train dataset Tota W. Arpad cikkei a hvg-rol \
 """
 
-
 class TotaGArpad(datasets.GeneratorBasedBuilder):
     """Tota Gep Arpad dataset builder."""
 
@@ -50,19 +46,16 @@ class TotaGArpad(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
         download_path = dl_manager.download_and_extract(
             "https://raw.githubusercontent.com/stedko/totagarpad/main/totawarpad-articles.txt"
         )
         if os.path.isdir(download_path):
-            # During testing the download manager mock gives us a directory
             txt_path = os.path.join(download_path, "input.txt")
         else:
             txt_path = download_path
         with open(txt_path, "r", encoding="utf-8") as f:
             text = f.read()
 
-        # 90/5/5 split
         i = int(len(text) * 0.9)
         train_text, text = text[:i], text[i:]
         i = int(len(text) * 0.5)
@@ -72,7 +65,6 @@ class TotaGArpad(datasets.GeneratorBasedBuilder):
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
                 gen_kwargs={"split_key": "train", "split_text": train_text},
             ),
             datasets.SplitGenerator(
@@ -86,7 +78,6 @@ class TotaGArpad(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, split_key, split_text):
-        """Yields examples."""
-        data_key = split_key  # Should uniquely identify the thing yielded
+        data_key = split_key 
         feature_dict = {"text": split_text}
         yield data_key, feature_dict