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README.md
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---
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annotations_creators:
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- other
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language:
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- en
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language_creators:
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- other
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license:
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- unknown
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multilinguality:
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- monolingual
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pretty_name: 'South Korea - Net-a-Porter - Product-level price list'
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source_datasets:
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- original
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tags:
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- webscraping
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- ecommerce
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- 'Net'
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- fashion
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- fashion product
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- image
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- fashion image
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task_categories:
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- text-classification
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- image-classification
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- feature-extraction
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- image-segmentation
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- image-to-image
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- image-to-text
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- object-detection
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- summarization
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- zero-shot-image-classification
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---
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# Net-a-Porter web scraped data
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## About the website
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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.
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## Link to **dataset**
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[South Korea - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20South%20Korea/r/recbd28ziED1dxjSE)
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