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: Brazil - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- 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: 10092550
num_examples: 30793
download_size: 2349573
dataset_size: 10092550
Mr Porter web scraped data
About the website
The E-commerce industry in the Americas, particularly in Brazil, has observed a surge in its growth trajectory. The nation is a thriving hub for online businesses, with a notable player in this sector being Mr Porter, which operates prominently in the online luxury fashion retail segment. It has been observed that the dataset includes Ecommerce product-list page (PLP) data on Mr Porter in Brazil. This comprehensive data delineates crucial insights into consumer behaviors, shopping trends, and product preferences. In Brazils burgeoning digital market, a deep understanding of such Ecommerce PLP data will be instrumental in driving accelerated growth in the industry.