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: United States - Chloe - Product-level price list
tags:
- webscraping
- ecommerce
- Chloe
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Chloe
dtype: string
- name: '2023-11-08'
dtype: string
- name: USA
dtype: string
- name: USD
dtype: string
- name: CHLOE
dtype: string
- name: WOMEN
dtype: string
- name: NEW ARRIVALS
dtype: string
- name: WINTER 2023
dtype: string
- name: 45800720AE
dtype: string
- name: Hana mini bag
dtype: string
- name: https://www.chloe.com/us/shoulder-bag_cod45800720ae.html
dtype: string
- name: https://www.chloe.com/product_image/45800720AE/f/w282.jpg
dtype: string
- name: '430.00'
dtype: float64
- name: 430.00.1
dtype: float64
- name: '402.24'
dtype: float64
- name: 402.24.1
dtype: float64
- name: '0'
dtype: int64
splits:
- name: train
num_bytes: 714750
num_examples: 2569
download_size: 162722
dataset_size: 714750
Chloe web scraped data
About the website
The Ecommerce industry in America, particularly in the United States, has been showing rapid growth and substantial advancements amidst digitalization and increased online shopping trends. One vital sector within this industry is the fashion industry, where renowned brands like Chloe record significant sales. The brand operates through both physical outlets and online platforms. The dataset observed has Ecommerce product-list page (PLP) data on Chloe in United States, providing insightful observations on their digital performance, customer preferences, and shopping behavior. Such data is instrumental to marketers and analysts in understanding market trends, designing strategies, and focusing on customer segments to increase revenue and profits.