Datasets:
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: Singapore - 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: 20913147
num_examples: 51236
download_size: 6382332
dataset_size: 20913147
Net-a-Porter web scraped data
About the website
The Ecommerce fashion industry in the Asia Pacific region, particularly in Singapore, is rapidly evolving with numerous avenues opening up for luxury fashion retailers such as Net-a-Porter. The city-state presents a huge potential market with its affluent consumer base and high internet penetration rate. It is considered a fashion-literate market with a strong inclination towards high-end labels. The increase in digital transformation and uptake of online shopping trends have given an additional push to the luxury ecommerce sector here. The dataset in focus carries Ecommerce product-list page (PLP) data on Net-a-Porter operations within Singapore, providing valuable insights into customer preferences and buying behaviors in this market.