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: Russia - 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: 16708490 | |
| num_examples: 41393 | |
| download_size: 5182135 | |
| dataset_size: 16708490 | |
| # Net-a-Porter web scraped data | |
| ## About the website | |
| The **EMEA fashion industry**, particularly in **Russia**, has been experiencing substantial growth in online channels due to increased internet penetration and smartphone usage. A significant player in this advancement is **Net-a-Porter**. This platform belongs to the **luxury ecommerce industry**, offering a wide range of premium brands. With the shift towards digital platforms in the shopping behavior of consumers, **Net-a-porter** is making its remarkable presence. The dataset observed provides insight into their online activities, particularly the **Ecommerce product-list page (PLP) data** for Net-a-Porter in Russia. This provides key understanding into customer preferences, behavior, and potential market trends. | |
| ## Link to **dataset** | |
| [Russia - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Russia/r/recjMpDIWAH8eIxfl) | |