Update clefip2011.py

clefip2011.py

@@ -4,87 +4,76 @@ 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}
+@article{,
+  title={RICE CROP DISEASES},
+  author={},
+  journal={},
+  year={},
+  volume={}
 }
 """
 
-
-_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.
+_DESCRIPTION = """\
+This is a sample dataset.
 """
 
 
-class CLEFIP2011Config(datasets.BuilderConfig):
-    """Custom Config for CLEFIP2011"""
-
-    def __init__(
-        self,
-        dataset_type: str = None
-        **kwargs
-    ):
-        super().__init__(**kwargs)
-        self.dataset_type = dataset_type
+class DatasetConfig(datasets.BuilderConfig):
+    """BuilderConfig for RICE CROP DISEASES Dataset"""
+    def __init__(self, **kwargs):
+        """BuilderConfig for RICE CROP DISEASES Dataset.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(DatasetConfig, self).__init__(**kwargs)
         
 
 class CLEFIP2011(datasets.GeneratorBasedBuilder):
     """Custom Dataset Loader"""
 
-    _DESCRIPTION
 
-    BUILDER_CONFIG_CLASS = CLEFIP2011Config
+   BUILDER_CONFIG_CLASS = DatasetConfig
 
-    BUILDER_CONFIGS = [
-        CLEFIP2011Config(
-            name="bibliographic",
-            version=datasets.Version("1.0.0"),
-            description="CLEF-IP 2011 Bibliographic Data",
-            dataset_type="bibliographic",
-        ),
+     BUILDER_CONFIGS = [
+        DatasetConfig(name="bibliographic", version=datasets.Version("1.0.0"), description="Rice Crop Disease Detection dataset"),
     ]
 
     def _info(self):
-        if self.config.dataset_type == "bibliographic":
-            features = datasets.Features(
-                {
-                    "ucid": datasets.Value("string"),
-                    "country": datasets.Value("string"),
-                    "doc_number": datasets.Value("string"),
-                    "kind": datasets.Value("string"),
-                    "lang": datasets.Value("string"),
-                    "corrected_lang": datasets.Value("string"),
-                    "date": datasets.Value("string"),
-                    "family_id": datasets.Value("string"),
-                    "date_produced": datasets.Value("string"),
-                    "status": datasets.Value("string"),
-                    "ecla_list": datasets.Value("string"),
-                    "applicant_name_list": datasets.Value("string"),
-                    "inventor_name_list": datasets.Value("string"),
-                    "title_de_text": datasets.Value("string"),
-                    "title_fr_text": datasets.Value("string"),
-                    "title_en_text": datasets.Value("string"),
-                    "abstract_de_exist": datasets.Value("bool"),
-                    "abstract_fr_exist": datasets.Value("bool"),
-                    "abstract_en_exist": datasets.Value("bool"),
-                    "description_de_exist": datasets.Value("bool"),
-                    "description_fr_exist": datasets.Value("bool"),
-                    "description_en_exist": datasets.Value("bool"),
-                    "claims_de_exist": datasets.Value("bool"),
-                    "claims_fr_exist": datasets.Value("bool"),
-                    "claims_en_exist": datasets.Value("bool"),
-                }
-            )
+        features = datasets.Features(
+            {
+                "ucid": datasets.Value("string"),
+                "country": datasets.Value("string"),
+                "doc_number": datasets.Value("string"),
+                "kind": datasets.Value("string"),
+                "lang": datasets.Value("string"),
+                "corrected_lang": datasets.Value("string"),
+                "date": datasets.Value("string"),
+                "family_id": datasets.Value("string"),
+                "date_produced": datasets.Value("string"),
+                "status": datasets.Value("string"),
+                "ecla_list": datasets.Value("string"),
+                "applicant_name_list": datasets.Value("string"),
+                "inventor_name_list": datasets.Value("string"),
+                "title_de_text": datasets.Value("string"),
+                "title_fr_text": datasets.Value("string"),
+                "title_en_text": datasets.Value("string"),
+                "abstract_de_exist": datasets.Value("bool"),
+                "abstract_fr_exist": datasets.Value("bool"),
+                "abstract_en_exist": datasets.Value("bool"),
+                "description_de_exist": datasets.Value("bool"),
+                "description_fr_exist": datasets.Value("bool"),
+                "description_en_exist": datasets.Value("bool"),
+                "claims_de_exist": datasets.Value("bool"),
+                "claims_fr_exist": datasets.Value("bool"),
+                "claims_en_exist": datasets.Value("bool"),
+            }
+        )
         return datasets.DatasetInfo(
-            description="CLEF-IP 2011 Bibliographic dataset.",
+            description=_DESCRIPTION,
             features=features,
             supervised_keys=None,
+            homepage="",
+            citation=_CITATION
         )
 
     def _split_generators(self, dl_manager):