--- configs: - config_name: articles data_files: - split: train path: data/raw/articles.csv - config_name: customers data_files: - split: train path: data/raw/customers.csv - config_name: transactions data_files: - split: train path: data/raw/transactions_train.csv dataset_info: - config_name: articles features: - name: article_id dtype: int64 - name: product_code dtype: int64 - name: prod_name dtype: string - name: product_type_no dtype: int64 - name: product_type_name dtype: string - name: product_group_name dtype: string - name: graphical_appearance_no dtype: int64 - name: graphical_appearance_name dtype: string - name: colour_group_code dtype: int64 - name: colour_group_name dtype: string - name: perceived_colour_value_id dtype: int64 - name: perceived_colour_value_name dtype: string - name: perceived_colour_master_id dtype: int64 - name: perceived_colour_master_name dtype: string - name: department_no dtype: int64 - name: department_name dtype: string - name: index_code dtype: string - name: index_name dtype: string - name: index_group_no dtype: int64 - name: index_group_name dtype: string - name: section_no dtype: int64 - name: section_name dtype: string - name: garment_group_no dtype: int64 - name: garment_group_name dtype: string - name: detail_desc dtype: string - config_name: customers features: - name: customer_id dtype: string - name: FN dtype: float64 - name: Active dtype: float64 - name: club_member_status dtype: string - name: fashion_news_frequency dtype: string - name: age dtype: float64 - name: postal_code dtype: string - config_name: transactions features: - name: t_dat dtype: string - name: customer_id dtype: string - name: article_id dtype: int64 - name: price dtype: float64 - name: sales_channel_id dtype: int64 task_categories: - tabular-classification - text-classification - image-text-to-text language: - en - id pretty_name: H&M Personalized Fashion Recommendations size_categories: - 10M