Datasets:
annotations_creators:
- other
language:
- en
language_creators:
- other
license:
- unknown
multilinguality:
- monolingual
pretty_name: South Korea - Net-a-Porter - Product-level price list
source_datasets:
- original
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
Net-a-Porter web scraped data
About the website
The fashion e-commerce industry in the Asia Pacific, particularly in South Korea, has seen tremendous growth over the last few years. Rapid advancements in digital technology, together with a sophisticated logistics infrastructure and increasingly affluent consumer base, are driving this expansion. South Korea’s digital infrastructure is one of the most advanced in the region, offering online retailers access to a broad, tech-savvy audience. Cultural factors like the Korean Wave (“Hallyu”) are also influencing fashion trends and consumption patterns. The dataset observed provides e-commerce product-list page (PLP) data about Net-a-Porter in South Korea, shedding light on purchasing patterns and preferences in this vibrant market.
Link to dataset
South Korea - Net-a-Porter - Product-level price list dataset