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import json |
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import datasets |
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_AMAZON_REVIEW_2023_DESCRIPTION = """\ |
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Amazon Review 2023 is an updated version of the Amazon Review 2018 dataset. |
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This dataset mainly includes reviews (ratings, text) and item metadata (desc- |
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riptions, category information, price, brand, and images). Compared to the pre- |
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vious versions, the 2023 version features larger size, newer reviews (up to Sep |
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2023), richer and cleaner meta data, and finer-grained timestamps (from day to |
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milli-second). |
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""" |
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class RawMetaAmazonReview2023Config(datasets.BuilderConfig): |
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def __init__(self, **kwargs): |
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super(RawMetaAmazonReview2023Config, self).__init__(**kwargs) |
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self.suffix = 'jsonl' |
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self.domain = self.name[len(f'raw_meta_'):] |
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self.description = f'This is a subset for items in domain: {self.domain}.' |
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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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RawMetaAmazonReview2023Config(name='raw_meta_All_Beauty'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Toys_and_Games'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Cell_Phones_and_Accessories'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Industrial_and_Scientific'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Gift_Cards'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Musical_Instruments'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Electronics'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Handmade_Products'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Arts_Crafts_and_Sewing'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Baby_Products'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Health_and_Household'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Office_Products'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Digital_Music'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Grocery_and_Gourmet_Food'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Sports_and_Outdoors'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Home_and_Kitchen'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Subscription_Boxes'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Tools_and_Home_Improvement'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Pet_Supplies'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Video_Games'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Kindle_Store'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Clothing_Shoes_and_Jewelry'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Patio_Lawn_and_Garden'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Unknown'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Books'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Automotive'), |
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RawMetaAmazonReview2023Config(name='raw_meta_CDs_and_Vinyl'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Beauty_and_Personal_Care'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Amazon_Fashion'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Magazine_Subscriptions'), |
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RawMetaAmazonReview2023Config(name='raw_meta_Software'), |
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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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'rating_number': datasets.Value(dtype='int64'), |
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'features': datasets.Sequence(datasets.Value('string')), |
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'description': datasets.Sequence(datasets.Value('string')), |
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'price': datasets.Value('string'), |
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'images': datasets.Sequence({ |
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'hi_res': datasets.Value('string'), |
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'large': datasets.Value('string'), |
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'thumb': datasets.Value('string'), |
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'variant': datasets.Value('string') |
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}), |
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'videos': datasets.Sequence({ |
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'title': datasets.Value('string'), |
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'url': datasets.Value('string'), |
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'user_id': datasets.Value('string') |
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}), |
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'store': datasets.Value('string'), |
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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'), |
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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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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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dl_dir = dl_manager.download_and_extract(self.config.data_dir) |
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return [ |
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datasets.SplitGenerator( |
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name='full', |
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gen_kwargs={"filepath": dl_dir} |
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) |
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] |
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def _generate_examples(self, filepath): |
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with open(filepath, 'r', encoding='utf-8') as file: |
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for idx, line in enumerate(file): |
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if self.config.suffix == 'jsonl': |
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try: |
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dp = json.loads(line) |
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""" |
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For item metadata, 'details' is free-form structured data |
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Here we dump it to string to make huggingface datasets easy |
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to store. |
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""" |
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if isinstance(self.config, RawMetaAmazonReview2023Config): |
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if 'details' in dp: |
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dp['details'] = json.dumps(dp['details']) |
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if 'price' in dp: |
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dp['price'] = str(dp['price']) |
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for optional_key in ['subtitle', 'author']: |
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if optional_key not in dp: |
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dp[optional_key] = None |
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for i in range(len(dp['images'])): |
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for k in ['hi_res', 'large', 'thumb', 'variant']: |
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if k not in dp['images'][i]: |
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dp['images'][i][k] = None |
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for i in range(len(dp['videos'])): |
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for k in ['title', 'url', 'user_id']: |
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if k not in dp['videos'][i]: |
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dp['videos'][i][k] = None |
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except: |
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continue |
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else: |
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raise ValueError(f'Unknown suffix {self.config.suffix}.') |
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yield idx, dp |
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