Datasets:
| 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 - 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: 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: 20928720 | |
| num_examples: 51265 | |
| download_size: 6412160 | |
| dataset_size: 20928720 | |
| # Net-a-Porter web scraped data | |
| ## About the website | |
| The **fashion e-commerce industry** in the Asia Pacific, particularly in **South Korea**, has seen tremendous growth over the last few years. Rapid advancements in **digital technology**, together with a sophisticated logistics infrastructure and increasingly affluent consumer base, are driving this expansion. **South Korea’s digital infrastructure** is one of the most advanced in the region, offering online retailers access to a broad, tech-savvy audience. Cultural factors like the Korean Wave (“Hallyu”) are also influencing fashion trends and consumption patterns. The dataset observed provides **e-commerce product-list page (PLP) data** about **Net-a-Porter** in South Korea, shedding light on purchasing patterns and preferences in this vibrant market. | |
| ## Link to **dataset** | |
| [South Korea - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20South%20Korea/r/recbd28ziED1dxjSE) | |