license: mit
language:
- fa
tags:
- e-commerce
- Online-Shop
- Comments
pretty_name: Dk-Fa-Cosmetics
size_categories:
- 100K<n<1M
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
- Curated by: Mani Moayedi
- Language(s) (NLP): Farsi (Persian)
- License: MIT
Uses
The samples of this dataset are user comments about products of an online shop website. Each comment contains some additional data alongside the comments body, like star-rating value (0-5). This dataset can be used to train or generate different data-models for NLP tasks like opinion mining and sentiment analysis.
Out-of-Scope Use
This dataset is the result of crawling 7 categories of cosmetic products from a perisan online-shop's product pages. The vocabulary mostly revolves around the cosmetics subjects, therefore it might not be suitable for use cases which needs a generic collection of words and phrases.
Dataset Structure
Each comment is represented in structured format and contains comment's body, comment's title, star-rating value (0-5), Other users reactions to each comment in terms of number-of-likes and number-of-dislikes. and a list of advantages and dis-advantages that user might have specified. title field and advantages/disadvantages fields can be null or empty in many comments.
For more details please check out the file Dataset Description.
Dataset Creation
The dataset is created using a crawler agains an online shop's website. Comments are scraped from product pages and stored as json, jsonl and csv files.
Personal and Sensitive Information
The dataset contains the username of userse who has posted the comments. All the information in the dataset, including these usernames, are present on the products web-page whithout any login or authentication.
Bias, Risks, and Limitations
From Npl prespective, the dataset might mostly contain information about the the consmetic products and the quality of sellers and resellers service. Therefore considering this dataset as a general source of language might introduce some issues, depending on the use-case.
Glossary
| Set | Number Of Comments | Number Of Products | Average Comments Per Product |
|---|---|---|---|
| dk-fa-cosmetics (Full dataset) | 421078 | 8325 | 51 |
| dkfacs-eyeliner (sub-set) | 30824 | 284 | 109 |
| dkfacs-stand (sub-set) | 83197 | 1738 | 48 |
| dkfacs-mascara (sub-set) | 47961 | 338 | 142 |
| dkfacs-sun-screen (sub-set) | 118699 | 772 | 154 |
| dkfacs-eye-shadow (sub-set) | 14532 | 634 | 23 |
| dkfacs-nails (sub-set) | 75209 | 3260 | 23 |
| dkfacs-lipsticks (sub-set) | 50656 | 1299 | 39 |
Dataset Card Authors
Mani Moayedi