README.md

metadata

dataset_info:
  features:
    - name: title
      dtype: string
    - name: average_rating
      dtype: string
    - name: rating_number
      dtype: string
    - name: features
      dtype: string
    - name: description
      dtype: string
    - name: price
      dtype: string
    - name: images
      dtype: string
    - name: videos
      dtype: string
    - name: store
      dtype: string
    - name: categories
      dtype: string
    - name: parent_asin
      dtype: string
    - name: date_first_available
      dtype: timestamp[s]
    - name: department
      dtype: string
    - name: manufacturer
      dtype: string
    - name: item_model_number
      dtype: string
    - name: package_dimensions
      dtype: string
    - name: country_of_origin
      dtype: string
    - name: is_discontinued_by_manufacturer
      dtype: string
    - name: product_dimensions
      dtype: string
    - name: item_weight
      dtype: string
    - name: brand
      dtype: string
    - name: color
      dtype: string
    - name: material
      dtype: string
    - name: age_range_(description)
      dtype: string
    - name: style
      dtype: string
    - name: size
      dtype: string
    - name: closure_type
      dtype: string
  splits:
    - name: train
      num_bytes: 110486655
      num_examples: 43070
  download_size: 46484678
  dataset_size: 110486655
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Amazon Fashion 2023 Dataset

Original dataset can be found on: https://amazon-reviews-2023.github.io/

Dataset Details

This dataset is downloaded from the link above, the category Amazon Fashion meta dataset.

Dataset Description

The Amazon Fashion 2023 dataset contains information on fashion products from Amazon, including titles, ratings, descriptions, prices, and categories. Each entry includes product-specific attributes like color, size, brand, and materials, along with identifiers like ASIN and department. It also holds metadata such as release dates, package dimensions, and origin. The table below represents the original structure of the dataset.

Field	Type	Explanation
main_category	str	Main category (i.e., domain) of the product.
title	str	Name of the product.
average_rating	float	Rating of the product shown on the product page.
rating_number	int	Number of ratings in the product.
features	list	Bullet-point format features of the product.
description	list	Description of the product.
price	float	Price in US dollars (at time of crawling).
images	list	Images of the product. Each image has different sizes (thumb, large, hi_res). The “variant” field shows the position of image.
videos	list	Videos of the product including title and url.
store	str	Store name of the product.
categories	list	Hierarchical categories of the product.
details	dict	Product details, including materials, brand, sizes, etc.
parent_asin	str	Parent ID of the product.
bought_together	list	Recommended bundles from the websites.

Modifications Made

• Products without a description, title, images or details were removed.
• Lists in features and description are transformed into strings concatinated with a newline
• For the details column, only the top 16 most frequent detail types were kept. The details column was then split into these new 16 columns based on the detail types kept.
• Products with date first available before the year 2015 are dropped.
• Products with is_discontinued_by_manufacturer set to 'true' or 'yes' are dropped.
• Column bought_together is dropped due to missing values.

Dataset Size

• Total entries: 43 070
• Total columns: 27

Final structure

Field	Type	Explanation
title	str	Name of the product.
average_rating	float	Rating of the product shown on the product page.
rating_number	int	Number of ratings in the product.
features	list	Bullet-point format features of the product.
description	list	Description of the product.
price	float	Price in US dollars (at time of crawling).
images	list	Images of the product. Each image has different sizes (thumb, large, hi_res). The “variant” field shows the position of image.
videos	list	Videos of the product including title and url.
store	str	Store name of the product.
categories	list[str]	Subcategories of the product.
parent_asin	str	Parent ID of the product.
date_first_available	timestamp	First date when the product was available.
department	string	Department of the product. (E.g. womens, mens)
country_of_origin	string	Name of the country of origin
item_weight	string	Weight of the product in ounces or pounds.
brand	str	Brand name associated with the product.
manufacturer	str	Name of the company or manufacturer responsible for producing the product.
product_dimension	str	Dimensions of the product, typically including length, width, and height.
color	str	Primary color or color variants of the product.
material	str	Main materials used in the product’s construction.
is_discontinued_by_manufacturer	str	Indicates whether the product has been discontinued by the manufacturer.
item_model_number	str	Model number of the product as assigned by the manufacturer.
age_range_(description)	str	Recommended age range for the product, often used for toys or children’s products.
style	str	Style or design
size	str	Size of product
closure_type	str	Closure type (E.g. zipper, button)

Usage

Download the dataset

dataset = load_dataset("smartcat/Amazon_Fashion_2023", split="train")