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 - 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: 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: string
- 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: 677692
num_examples: 2439
download_size: 158885
dataset_size: 677692
Chloe web scraped data
About the website
The Ecommerce industry in the Asia Pacific region, particularly in South Korea, is experiencing remarkable growth. Fueling this rapid expansion are tech-savvy consumers who are rapidly adopting online shopping with ease and comfort. Companies like Chloe are leveraging the popularity of Ecommerce to extend their market reach. The dataset currently under observation contains Ecommerce product-list page (PLP) data specifically concerning Chloe in South Korea. This critical data offers deep insights into consumer purchasing habits, shifts in market trends, and performance analysis, thereby fostering a wealth of opportunities for Chloe to further expand its online presence.