--- dataset_info: - config_name: metadata features: - name: asin dtype: string - name: title dtype: string - name: description dtype: string - name: brand dtype: string - name: categories sequence: sequence: string - name: price dtype: float64 - name: salesRank struct: - name: Arts, Crafts & Sewing dtype: int64 - name: Automotive dtype: int64 - name: Baby dtype: int64 - name: Beauty dtype: int64 - name: Books dtype: int64 - name: Camera & Photo dtype: int64 - name: Cell Phones & Accessories dtype: int64 - name: Clothing dtype: int64 - name: Computers & Accessories dtype: int64 - name: Electronics dtype: int64 - name: Grocery & Gourmet Food dtype: int64 - name: Health & Personal Care dtype: int64 - name: Home & Kitchen dtype: int64 - name: Home Improvement dtype: int64 - name: Industrial & Scientific dtype: int64 - name: Jewelry dtype: int64 - name: Kitchen & Dining dtype: int64 - name: Movies & TV dtype: int64 - name: Musical Instruments dtype: int64 - name: Office Products dtype: int64 - name: Patio, Lawn & Garden dtype: int64 - name: Pet Supplies dtype: int64 - name: Shoes dtype: int64 - name: Software dtype: int64 - name: Sports & Outdoors dtype: int64 - name: Toys & Games dtype: int64 - name: Video Games dtype: int64 - name: Watches dtype: int64 - name: imUrl dtype: string - name: also_bought sequence: string - name: also_viewed sequence: string - name: bought_together sequence: string - name: buy_after_viewing sequence: string splits: - name: train num_bytes: 506732306 num_examples: 335666 download_size: 207962722 dataset_size: 506732306 - config_name: reviews features: - name: reviewerID dtype: string - name: reviewerName dtype: string - name: overall sequence: int64 - name: reviewTime sequence: timestamp[us] - name: asin sequence: string - name: reviewText sequence: string - name: summary sequence: string splits: - name: train num_bytes: 990213221 num_examples: 1342911 download_size: 605495096 dataset_size: 990213221 configs: - config_name: metadata data_files: - split: train path: metadata/train-* - config_name: reviews data_files: - split: train path: reviews/train-* ---