added print statements.

regulatory_comments.py

@@ -62,6 +62,7 @@ class RegComments(datasets.GeneratorBasedBuilder):
     #        ) #use pandas
 
     def _info(self):
+        print("info called")
         features = datasets.Features(
               {"docket_agency": datasets.Value("string"),
                "docket_title": datasets.Value("string"),
@@ -90,6 +91,7 @@ class RegComments(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
+        print("split generators called")
         # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
         # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
 
@@ -97,7 +99,8 @@ class RegComments(datasets.GeneratorBasedBuilder):
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
         urls = _URLS[self.config.name]
-        data_dir = dl_manager.download_and_extract(urls)
+        data_dir = dl_manager.download_and_extract(urls) 
+        print("urls accessed")
         return [datasets.SplitGenerator(name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
@@ -107,6 +110,7 @@ class RegComments(datasets.GeneratorBasedBuilder):
     
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath):
+        print("generate examples called")
         with open(filepath, encoding="utf-8") as f:
             reader = csv.DictReader(f)
             for key, row in enumerate(reader):