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: Turkey - Farfetch - Product-level price list
tags:
- webscraping
- ecommerce
- Farfetch
- 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: 210951012
num_examples: 563784
download_size: 74030067
dataset_size: 210951012
Farfetch web scraped data
About the website
The Ecommerce industry in the EMEA region, specifically in Turkey, has shown significant growth in recent years. Companies like Farfetch have established their presence in the competitive Turkish market. Turkeys rapid digital transformation, favourable demographics, and high levels of internet penetration have resulted in the boom of online retail. This proves profitable for ecommerce platforms specialising in luxury fashion retail like Farfetch. The dataset observed contains Ecommerce product-list page (PLP) data on Farfetchs operations in Turkey, providing valuable insights into consumer trends, purchasing behaviour, and market dynamics in the Turkish ecommerce sector.