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: Italy - 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: Net-a-Porter
dtype: string
- name: '2023-11-08'
dtype: string
- name: ITA
dtype: string
- name: EUR
dtype: string
- name: SAINT LAURENT
dtype: string
- name: CLOTHING
dtype: string
- name: DRESSES
dtype: string
- name: MIDI DRESSES
dtype: string
- name: '1647597276844592'
dtype: int64
- name: Lace-trimmed silk-satin midi dress
dtype: string
- name: >-
https://www.net-a-porter.com/it/en/shop/product/saint-laurent/clothing/midi-dresses/lace-trimmed-silk-satin-midi-dress/1647597276844592
dtype: string
- name: >-
https://www.net-a-porter.com/variants/images/1647597276844592/ou/w1000.jpg
dtype: string
- name: '3490.00'
dtype: float64
- name: 3490.00.1
dtype: float64
- name: 3490.00.2
dtype: float64
- name: 3490.00.3
dtype: float64
- name: '0'
dtype: int64
splits:
- name: train
num_bytes: 17591923
num_examples: 43148
download_size: 5140785
dataset_size: 17591923
Net-a-Porter web scraped data
About the website
The Ecommerce industry in the EMEA region, particularly in Italy, has seen significant growth due to digital transformation and increased web shopping habits. Within this sector, the luxury fashion industry is a standout, where Net-a-Porter operates. This platform effectively fuses traditional haute couture and digital luxury shopping, offering an extensive range of high-end clothing and accessories. The observed dataset contains Ecommerce product-list page (PLP) data on Net-a-Porter in Italy, providing insight on user behavior, product attractiveness and market trends. This type of data enables customization and effectiveness of digital marketing strategies for the brand.