metadata

annotations_creators:
  - other
language_creators:
  - other
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
source_datasets:
  - original
task_categories:
  - text-classification
  - image-classification
  - feature-extraction
  - image-segmentation
  - image-to-image
  - image-to-text
  - object-detection
  - summarization
  - zero-shot-image-classification
pretty_name: South Korea - Net-a-Porter - Product-level price list
tags:
  - webscraping
  - ecommerce
  - Net
  - fashion
  - fashion product
  - image
  - fashion image
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: website_name
      dtype: string
    - name: competence_date
      dtype: string
    - name: country_code
      dtype: string
    - name: currency_code
      dtype: string
    - name: brand
      dtype: string
    - name: category1_code
      dtype: string
    - name: category2_code
      dtype: string
    - name: category3_code
      dtype: string
    - name: product_code
      dtype: int64
    - name: title
      dtype: string
    - name: itemurl
      dtype: string
    - name: imageurl
      dtype: string
    - name: full_price
      dtype: float64
    - name: price
      dtype: float64
    - name: full_price_eur
      dtype: float64
    - name: price_eur
      dtype: float64
    - name: flg_discount
      dtype: int64
  splits:
    - name: train
      num_bytes: 20928720
      num_examples: 51265
  download_size: 6412160
  dataset_size: 20928720

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