Upload regulatory_comments_api.py

regulatory_comments_api.py

@@ -15,6 +15,7 @@
 
 import requests
 import datasets
+from datasets import BuilderConfig
 
 _DESCRIPTION = """\
 United States governmental agencies often make proposed regulations open to the public for comment. 
@@ -118,10 +119,23 @@ class RegulationsDataFetcher:
                     break
 
         return nested_data
+    
+class RegCommentsAPIConfig(BuilderConfig):
+    def __init__(self, api_key=None, **kwargs):
+        super(RegCommentsAPIConfig, self).__init__(**kwargs)
+        self.api_key = api_key
 
-class RegComments(datasets.GeneratorBasedBuilder):
+class RegCommentsAPI(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.1.0")
 
+    BUILDER_CONFIGS = [
+        RegCommentsAPIConfig(
+            name="default",
+            version=datasets.Version("1.0.0"),
+            description="Dataset of regulatory comments",
+        )
+    ]
+
     # Method to define the structure of the dataset
     def _info(self):
         # Defining the structure of the dataset
@@ -151,17 +165,21 @@ class RegComments(datasets.GeneratorBasedBuilder):
         )
     
     def _split_generators(self, dl_manager):
-        # Expect an API key to be passed as a parameter
+        # Retrieve the API key from the builder's config
+        api_key = self.config.api_key
+
+        # Define your dataset's splits. In this case, only a training split.
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "search_terms": opioid_related_terms,
-                    "api_key": self.config.api_key,  # Use the API key provided by the user
+                    "api_key": api_key,  # Pass the API key to the generator function
                 },
             ),
         ]
 
+
     def _generate_examples(self, search_terms, api_key):
         # Iterate over each search term to fetch relevant dockets
         for term in search_terms: