Upload date-data.py with huggingface_hub

date-data.py

@@ -10,10 +10,8 @@ fs = HfFileSystem()
 _CITATION = """
 """
 
-_DESCRIPTION = """
-    This dataset contain file about datetime date. 
-    It's created with purpose is practice loading dataset from hugging face hub.
-"""
+_DESCRIPTION = """This dataset contain file about datetime date. 
+    It's created with purpose is practice loading dataset from hugging face hub."""
 
 
 _HOMEPAGE = """
@@ -32,7 +30,6 @@ _CONFIGS.extend(
     for file in fs.listdir(_REPO_BRANCH + "/data/", detail=False)
     if file.endswith('.zip')
 )
-print("_CONFIGS", _CONFIGS[:3])
 
 class DateDataConfig(datasets.BuilderConfig):
     def __init__(
@@ -45,7 +42,6 @@ class DateDataConfig(datasets.BuilderConfig):
             version=datasets.Version("1.0.0"),
             description=_DESCRIPTION,
         )
-        print('construct DateDataConfig', name)
 
 class DateDate(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [DateDataConfig(name=name) for name in _CONFIGS]
@@ -64,7 +60,6 @@ class DateDate(datasets.GeneratorBasedBuilder):
             "year": datasets.Value('string'),
             "file_path": datasets.Value('string'),
         })
-        print('Features ', self.BUILDER_CONFIGS[2:5])
         return datasets.DatasetInfo(
             features=features,
             description=_DESCRIPTION,
@@ -82,14 +77,7 @@ class DateDate(datasets.GeneratorBasedBuilder):
         data_dirs = dl_manager.download_and_extract(
             [_URL.format(filename=zipfile) for zipfile in config_names]
         )
-        print("datasets.SplitGenerator",[
-                datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "data_dirs": data_dirs,
-                }
-            )
-        ])
+      
         return [
                 datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -99,27 +87,21 @@ class DateDate(datasets.GeneratorBasedBuilder):
             )
         ]
 
-
     def _generate_examples(
         self,
         data_dirs: List[str],
     ) -> dict:
-        print("_generate_examples", data_dirs)
         for i, data_dir in enumerate(data_dirs):
             sample = self._extract_datetime("Wed Oct 16 11:08:00 +07 2024")
             sample.update((('id','123'),('file_path',"null")))
-            print(sample)
             yield i, sample
 
-        
-
     def _read_txt(
         self,
         file_name: str,
     ) -> str:
         with open(file=file_name, mode='r') as f:
             return self._extract_datetime(f.read())
-
     
     def _extract_datetime(
         self,