Add script for raw metadata

Amazon-Review-2023.py

@@ -0,0 +1,66 @@
+import json
+
+import datasets
+
+
+_AMAZON_REVIEW_2023_DESCRIPTION = """\
+Amazon Review 2023 is an updated version of the Amazon Review 2018 dataset.
+This dataset mainly includes reviews (ratings, text) and item metadata (desc-
+riptions, category information, price, brand, and images). Compared to the pre-
+vious versions, the 2023 version features larger size, newer reviews (up to Sep
+2023), richer and cleaner meta data, and finer-grained timestamps (from day to 
+milli-second).
+
+"""
+
+
+class RawMetaAmazonReview2023Config(datasets.BuilderConfig):
+    def __init__(self, **kwargs):
+        super(RawMetaAmazonReview2023Config, self).__init__(**kwargs)
+
+        self.suffix = 'jsonl'
+        self.domain = self.name[len(f'raw_meta_'):]
+        self.description = f'This is a subset for items in domain: {self.domain}.'
+        self.data_dir = f'raw/meta_categories/meta_{self.domain}.jsonl'
+
+
+class AmazonReview2023(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        RawMetaAmazonReview2023Config(
+            name='raw_meta_All_Beauty'
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_AMAZON_REVIEW_2023_DESCRIPTION + self.config.description
+        )
+
+    def _split_generators(self, dl_manager):
+        dl_dir = dl_manager.download_and_extract(self.config.data_dir)
+        return [
+            datasets.SplitGenerator(
+                name='full',
+                gen_kwargs={"filepath": dl_dir}
+            )
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, 'r', encoding='utf-8') as file:
+            for idx, line in enumerate(file):
+                if self.config.suffix == 'jsonl':
+                    try:
+                        dp = json.loads(line)
+                        """
+                        For item metadata, 'details' is free-form structured data
+                        Here we dump it to string to make huggingface datasets easy
+                        to store.
+                        """
+                        if isinstance(self.config, RawMetaAmazonReview2023Config) and \
+                           'details' in dp:
+                            dp['details'] = json.dumps(dp['details'])
+                    except:
+                        continue
+                else:
+                    raise ValueError(f'Unknown suffix {self.config.suffix}.')
+                yield idx, dp