---
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---
# Dataset Card for Dataset Name
Original datasets can be found on: https://amazon-reviews-2023.github.io/
## Dataset Details
This dataset was made as sample of several datasets from the link above.
### Dataset Description
This dataset is a curated sample derived from seven filtered Amazon product category datasets(Amazon All Beauty, Amazon Fashion, Sports and Outdoors,
Health and Personal Care, Amazon Clothing Shoes and Jewlery,
Baby Products and Beauty and Personal Care), combining diverse product information across categories.
The dataset contains 258k entries, each representing a unique product and its associated metadata.
Designed for product-related analysis, this dataset is well-suited for tasks such as embedding generation, recommendation systems, and NLP model training.
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
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. |
upc |
str |
Universal Product Code (UPC), a barcode for uniquely identifying the product. |
brand |
str |
Brand |
manufacturer |
str |
Manufacturer of the product |
product_dimensions |
str |
Dimensions of the product |
color |
str |
Color |
material |
str |
Material |
item_form |
str |
Form of the item (e.g., liquid, solid, gel). |
item_model_number |
str |
Model number of the product |
age_range_(description) |
str |
Recommended age range for the product, often used for toys or children’s products. |
item_weight |
str |
Weight of the item |
skin_type |
str |
Suitable skin types for the product (e.g., oily, dry, sensitive). |
package_dimensions |
str |
Dimensions of the product packaging |
hair_type |
str |
Suitable hair types for the product (e.g., curly, straight, fine). |
unit_count |
str |
Total quantity or units contained in the product package. |
number_of_items |
float64 |
Number of items in the product |
scent |
str |
Fragrance or scent associated with the product. |
material_type |
str |
Material |
style |
str |
Style |
date_first_available |
float64 |
Date the first time product was available |
best_sellers_rank |
str |
Best seller rank |
department |
str |
Department |
size |
str |
Sieze |
country_of_origin |
str |
Country of origin of the product |
flavor |
str |
Flavour |
item_dimensions_lxwxh |
str |
Item dimensions LxWxH |
brand_name |
str |
Brand name |
package_weight |
str |
Weight of the package |
item_package_dimensions_l_x_w_x_h |
str |
Dimensions of the item package LxWxH |
part_number |
str |
Part number |
suggested_users |
str |
Suggester users |
item_dimensions__lxwxh |
str |
Item dimensions LxWxH |
sport_type |
str |
Sport type |
closure_type |
str |
Closure type |