--- dataset_info: features: - name: main_category dtype: string - name: title dtype: string - name: average_rating dtype: float64 - name: rating_number dtype: int64 - name: features dtype: string - name: description dtype: string - name: price dtype: float64 - name: images list: - name: thumb dtype: string - name: large dtype: string - name: variant dtype: string - name: hi_res dtype: string - name: videos list: - name: title dtype: string - name: url dtype: string - name: user_id dtype: string - name: store dtype: string - name: categories sequence: string - name: parent_asin dtype: string - name: item_weight dtype: string - name: brand dtype: string - name: item_model_number dtype: string - name: product_dimensions dtype: string - name: batteries_required dtype: string - name: color dtype: string - name: material dtype: string - name: material_type dtype: string - name: style dtype: string - name: number_of_items dtype: string - name: manufacturer dtype: string - name: package_dimensions dtype: string - name: date_first_available dtype: int64 - name: best_sellers_rank dtype: string - name: age_range_(description) dtype: string splits: - name: train num_bytes: 74252952 num_examples: 22767 download_size: 33492627 dataset_size: 74252952 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for Dataset Name Original dataset can be found on: https://amazon-reviews-2023.github.io/ ## Dataset Details This dataset is downloaded from the link above, the category Baby Products meta dataset. ### Dataset Description This dataset is a refined version of the Amazon Baby Products 2023 meta dataset, which originally contained baby product metadata for product that are sold on Amazon. The dataset includes detailed information about products such as their descriptions, ratings, prices, images, and features. The primary focus of this modification was to ensure the completeness of key fields while simplifying the dataset by removing irrelevant or empty columns. 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. Then that column was dropped.
Column bought_together is dropped due to missing values.

### Dataset Size

Total entries: 22,767
Total columns: 27

### Final Structure

Field	Type	Explanation
main_category	str	Main category
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.
details	dict	Product details, including materials, brand, sizes, etc.
parent_asin	str	Parent ID of the product.
item_weight	str	Weight of the item
brand	str	Brand name
item_model_number	str	Model number of the item
product_dimensions	str	Dimensions of the product
batteries_required	str	Baterries required
color	str	Color
material	str	Material
material_type	str	Material
style	str	Style
number_of_items	str	Number of items
manufacturer	str	Manufacturer
package_dimensions	str	Package dimensions
date_first_available	int64	Date product was first time available
best_sellers_rank	str	Best seller rank
age_range_(description)	str	Age range