Upload regulatory_comments.py

regulatory_comments.py

@@ -30,21 +30,23 @@ and comment text.
 _HOMEPAGE = "https://www.regulations.gov/"
 
 # URL to download the dataset
-_URLS = {"url": "https://huggingface.co/datasets/ro-h/regulatory_comments/raw/main/docket_comments_v3.json"}
+_URLS = {"url": "https://huggingface.co/datasets/ro-h/regulatory_comments/raw/main/docket_comments_v4.json"}
 
 # Class definition for handling the dataset
 class RegComments(datasets.GeneratorBasedBuilder):
 
     # Version of the dataset
-    VERSION = datasets.Version("1.1.0")
+    VERSION = datasets.Version("1.1.4")
     
     # Method to define the structure of the dataset
     def _info(self):
         # Defining the structure of the dataset
         features = datasets.Features({
             "id": datasets.Value("string"),
+            "agency": datasets.Value("string"), #Added In
             "title": datasets.Value("string"),
-            "context": datasets.Value("string"),
+            "update_date": datasets.Value("string"), #Added In
+            "update_time": datasets.Value("string"), #Added In
             "purpose": datasets.Value("string"),
             "keywords": datasets.Sequence(datasets.Value("string")),
             "comments": datasets.Sequence({
@@ -52,7 +54,7 @@ class RegComments(datasets.GeneratorBasedBuilder):
                 "comment_id": datasets.Value("string"),
                 "comment_url": datasets.Value("string"),
                 "comment_date": datasets.Value("string"),
-                "comment_title": datasets.Value("string"),
+                "comment_time": datasets.Value("string"),
                 "commenter_fname": datasets.Value("string"),
                 "commenter_lname": datasets.Value("string"),
                 "comment_length": datasets.Value("int32")
@@ -89,8 +91,10 @@ class RegComments(datasets.GeneratorBasedBuilder):
             for docket in data:
                 # Extracting data fields from each docket
                 docket_id = docket["id"]
+                docket_agency = docket["agency"]
                 docket_title = docket["title"]
-                docket_context = docket["context"]
+                docket_update_date = docket["update_date"]
+                docket_update_time = docket["update_time"]
                 docket_purpose = docket.get("purpose", "unspecified")
                 docket_keywords = docket.get("keywords", [])
                 comments = docket["comments"]
@@ -98,8 +102,10 @@ class RegComments(datasets.GeneratorBasedBuilder):
                 # Yielding each docket with its information
                 yield key, {
                     "id": docket_id,
+                    "agency": docket_agency,
                     "title": docket_title,
-                    "context": docket_context,
+                    "update_date": docket_update_date,
+                    "update_time": docket_update_time,
                     "purpose": docket_purpose, 
                     "keywords": docket_keywords, 
                     "comments": comments