Resolved dataset loding script

.gitignore

@@ -127,3 +127,4 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
+cosuju.py.lock

cosuju.py

@@ -25,6 +25,7 @@ _DESCRIPTION = """\
 Court Summaries and Judgements (CoSuJu)
 """
 
+# Redundant but may use in future.
 _URL = 'https://github.com/FRTNX/ml-data-scraper/blob/main/dataset/'
 _URLS = {
     'train': _URL + 'mini-train-v1.0.json'
@@ -63,24 +64,20 @@ class Cosuju(datasets.GeneratorBasedBuilder):
                     'url': datasets.Value('string'),
                     'year': datasets.Value('string'),
                     'update_date': datasets.Value('string'),
-                    'summary_document': datasets.features.Sequence(
-                        {
+                    'summary_document': {
                             'filename': datasets.Value('string'),
                             'file_url': datasets.Value('string'),
                             'file_content': datasets.Value('string')
-                        }
-                    ),
-                    'judgement_document': datasets.features.Sequence(
-                        {
-                            'filename': datasets.Value('string'),
-                            'file_url': datasets.Value('string'),
-                            'file_content': datasets.Value('string')
-                        }
-                    ),
-                }
+                        },
+                    'judgement_document': {
+                        'filename': datasets.Value('string'),
+                        'file_url': datasets.Value('string'),
+                        'file_content': datasets.Value('string')
+                    },
+            }
             ),
             supervised_keys=None,
-            homepage='https://github.com/FRTNX/ml-data-scraper',
+            homepage='https://huggingface.co/datasets/FRTNX/cosuju',
             citation=_CITATION,
         )
 
@@ -94,21 +91,22 @@ class Cosuju(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath):
         """This function returns the examples in the raw (text) form."""
         logger.info('generating examples from = %s', filepath)
-        with open(filepath, encoding="utf-8") as f:
-            for id_, row in enumerate(f):
-                data = json.loads(row)
+        with open('train-v1.0.json', 'r') as f:
+            cosuju = json.loads(f.read())
+            for row in cosuju['data']:
+                id_ = row['id']
                 result = {
-                    'id': data['id'],
-                    'title': data['title'],
-                    'url': data['url'],
-                    'year': data['year'],
-                    'update_date': data['update_date']
+                    'id': row['id'],
+                    'title': row['title'],
+                    'url': row['url'],
+                    'year': row['year'],
+                    'update_date': row['update_date']
                 }
 
                 # as some court decisions have no summaries, may filter these out in future
                 for prop in ['summary_document', 'judgement_document']:
-                    if data[prop]:
-                        result[prop] = data[prop]
+                    if row[prop]:
+                        result[prop] = row[prop]
                     else:
                         result[prop] = { 'filename': '', 'file_url': '', 'file_content': '' }