Add script for reviews
Browse files- Amazon-Review-2023.py +55 -4
Amazon-Review-2023.py
CHANGED
@@ -24,6 +24,16 @@ class RawMetaAmazonReview2023Config(datasets.BuilderConfig):
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self.data_dir = f'raw/meta_categories/meta_{self.domain}.jsonl'
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class AmazonReview2023(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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# Raw item metadata
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@@ -61,12 +71,46 @@ class AmazonReview2023(datasets.GeneratorBasedBuilder):
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RawMetaAmazonReview2023Config(name='raw_meta_Health_and_Personal_Care'),
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RawMetaAmazonReview2023Config(name='raw_meta_Appliances'),
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RawMetaAmazonReview2023Config(name='raw_meta_Movies_and_TV'),
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]
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def _info(self):
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-
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-
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features=datasets.Features({
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'main_category': datasets.Value('string'),
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'title': datasets.Value('string'),
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'average_rating': datasets.Value(dtype='float64'),
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@@ -89,10 +133,17 @@ class AmazonReview2023(datasets.GeneratorBasedBuilder):
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'categories': datasets.Sequence(datasets.Value('string')),
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'details': datasets.Value('string'),
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'parent_asin': datasets.Value('string'),
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-
'bought_together': datasets.Value(
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'subtitle': datasets.Value('string'),
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'author': datasets.Value('string')
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})
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)
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def _split_generators(self, dl_manager):
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self.data_dir = f'raw/meta_categories/meta_{self.domain}.jsonl'
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class RawReviewAmazonReview2023Config(datasets.BuilderConfig):
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def __init__(self, **kwargs):
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super(RawReviewAmazonReview2023Config, self).__init__(**kwargs)
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self.suffix = 'jsonl'
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self.domain = self.name[len(f'raw_review_'):]
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self.description = f'This is a subset for reviews in domain: {self.domain}.'
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self.data_dir = f'raw/review_categories/{self.domain}.jsonl'
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class AmazonReview2023(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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# Raw item metadata
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RawMetaAmazonReview2023Config(name='raw_meta_Health_and_Personal_Care'),
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RawMetaAmazonReview2023Config(name='raw_meta_Appliances'),
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RawMetaAmazonReview2023Config(name='raw_meta_Movies_and_TV'),
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RawReviewAmazonReview2023Config(name='raw_review_All_Beauty'),
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RawReviewAmazonReview2023Config(name='raw_review_Toys_and_Games'),
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RawReviewAmazonReview2023Config(name='raw_review_Cell_Phones_and_Accessories'),
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RawReviewAmazonReview2023Config(name='raw_review_Industrial_and_Scientific'),
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RawReviewAmazonReview2023Config(name='raw_review_Gift_Cards'),
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RawReviewAmazonReview2023Config(name='raw_review_Musical_Instruments'),
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RawReviewAmazonReview2023Config(name='raw_review_Electronics'),
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RawReviewAmazonReview2023Config(name='raw_review_Handmade_Products'),
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RawReviewAmazonReview2023Config(name='raw_review_Arts_Crafts_and_Sewing'),
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RawReviewAmazonReview2023Config(name='raw_review_Baby_Products'),
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RawReviewAmazonReview2023Config(name='raw_review_Health_and_Household'),
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RawReviewAmazonReview2023Config(name='raw_review_Office_Products'),
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RawReviewAmazonReview2023Config(name='raw_review_Digital_Music'),
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RawReviewAmazonReview2023Config(name='raw_review_Grocery_and_Gourmet_Food'),
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RawReviewAmazonReview2023Config(name='raw_review_Sports_and_Outdoors'),
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RawReviewAmazonReview2023Config(name='raw_review_Home_and_Kitchen'),
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RawReviewAmazonReview2023Config(name='raw_review_Subscription_Boxes'),
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RawReviewAmazonReview2023Config(name='raw_review_Tools_and_Home_Improvement'),
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RawReviewAmazonReview2023Config(name='raw_review_Pet_Supplies'),
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RawReviewAmazonReview2023Config(name='raw_review_Video_Games'),
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RawReviewAmazonReview2023Config(name='raw_review_Kindle_Store'),
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RawReviewAmazonReview2023Config(name='raw_review_Clothing_Shoes_and_Jewelry'),
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RawReviewAmazonReview2023Config(name='raw_review_Patio_Lawn_and_Garden'),
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RawReviewAmazonReview2023Config(name='raw_review_Unknown'),
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RawReviewAmazonReview2023Config(name='raw_review_Books'),
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RawReviewAmazonReview2023Config(name='raw_review_Automotive'),
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RawReviewAmazonReview2023Config(name='raw_review_CDs_and_Vinyl'),
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RawReviewAmazonReview2023Config(name='raw_review_Beauty_and_Personal_Care'),
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RawReviewAmazonReview2023Config(name='raw_review_Amazon_Fashion'),
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RawReviewAmazonReview2023Config(name='raw_review_Magazine_Subscriptions'),
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RawReviewAmazonReview2023Config(name='raw_review_Software'),
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RawReviewAmazonReview2023Config(name='raw_review_Health_and_Personal_Care'),
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RawReviewAmazonReview2023Config(name='raw_review_Appliances'),
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RawReviewAmazonReview2023Config(name='raw_review_Movies_and_TV'),
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]
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def _info(self):
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features = None
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if isinstance(self.config, RawMetaAmazonReview2023Config):
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features = datasets.Features({
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'main_category': datasets.Value('string'),
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'title': datasets.Value('string'),
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'average_rating': datasets.Value(dtype='float64'),
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'categories': datasets.Sequence(datasets.Value('string')),
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'details': datasets.Value('string'),
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'parent_asin': datasets.Value('string'),
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'bought_together': datasets.Value('string'), # TODO: Check this type
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'subtitle': datasets.Value('string'),
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'author': datasets.Value('string')
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})
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elif isinstance(self.config, RawReviewAmazonReview2023Config):
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# TODO: Check review features
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pass
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return datasets.DatasetInfo(
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description=_AMAZON_REVIEW_2023_DESCRIPTION + self.config.description,
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features=features
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)
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def _split_generators(self, dl_manager):
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