Update clefip2011.py

clefip2011.py

@@ -3,17 +3,42 @@ import pandas as pd
 import datasets
 
 
+_CITATION = """\
+@InProceedings{suzgun2021:hupd,
+title = {The Harvard USPTO Patent Dataset},
+authors={Mirac Suzgun and Suproteem Sarkar and Luke Melas-Kyriazi and Scott Kominers and Stuart Shieber},
+year={2021}
+}
+"""
+
+
+_DESCRIPTION = """
+The Harvard USPTO Patent Dataset (HUPD) is a large-scale, well-structured, and multi-purpose corpus 
+of English-language patent applications filed to the United States Patent and Trademark Office (USPTO) 
+between 2004 and 2018. With more than 4.5 million patent documents, HUPD is two to three times larger 
+than comparable corpora. Unlike other NLP patent datasets, HUPD contains the inventor-submitted versions 
+of patent applications, not the final versions of granted patents, allowing us to study patentability at 
+the time of filing using NLP methods for the first time.
+"""
+
+
 class CLEFIP2011Config(datasets.BuilderConfig):
     """Custom Config for CLEFIP2011"""
 
-    def __init__(self, dataset_type=None, **kwargs):
+    def __init__(
+        self,
+        dataset_type: str = None
+        **kwargs
+    ):
         super().__init__(**kwargs)
         self.dataset_type = dataset_type
+        
 
-
-class CLEFIP2011(datasets.DatasetBuilder):
+class CLEFIP2011(datasets.GeneratorBasedBuilder):
     """Custom Dataset Loader"""
 
+    _DESCRIPTION
+
     BUILDER_CONFIG_CLASS = CLEFIP2011Config
 
     BUILDER_CONFIGS = [