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--- |
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license: mit |
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language: |
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- fa |
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tags: |
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- e-commerce |
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- Online-Shop |
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- Comments |
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pretty_name: Dk-Fa-Cosmetics |
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size_categories: |
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- 100K<n<1M |
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--- |
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# Dataset Card for Dataset Name |
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<!-- Provide a quick summary of the dataset. --> |
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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). |
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## Dataset Details |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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- **Curated by:** Mani Moayedi |
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- **Language(s) (NLP):** Farsi (Persian) |
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- **License:** MIT |
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## Uses |
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The samples of this dataset are user comments about products of an online shop website. Each comment contains some |
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additional data alongside the comments body, like star-rating value (0-5). This dataset can be used to train or generate |
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different data-models for NLP tasks like opinion mining and sentiment analysis. |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
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This dataset is the result of crawling 7 categories of cosmetic products from a perisan online-shop's product pages. The vocabulary |
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mostly revolves around the cosmetics subjects, therefore it might not be suitable for use cases which needs a generic collection of |
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words and phrases. |
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## Dataset Structure |
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Each comment is represented |
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in structured format and contains comment's body, comment's title, star-rating value (0-5), Other users reactions to |
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each comment in terms of number-of-likes and number-of-dislikes. and a list of advantages and dis-advantages that user |
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might have specified. title field and advantages/disadvantages fields can be null or empty in many comments. |
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For more details please check out the file [Dataset Description](https://huggingface.co/datasets/Acidmanic/DK-FA-Cosmetics/resolve/main/Dataset%20Description.pdf). |
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## Dataset Creation |
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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. |
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#### Personal and Sensitive Information |
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The dataset contains the username of userse who has posted the comments. All the information in the dataset, including these usernames, are |
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present on the products web-page whithout any login or authentication. |
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## Bias, Risks, and Limitations |
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From Npl prespective, the dataset might mostly contain information about the the consmetic products and the quality |
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of sellers and resellers service. Therefore considering this dataset as a general source of language might introduce |
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some issues, depending on the use-case. |
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## Glossary |
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| Set | Number Of Comments | Number Of Products | Average Comments Per Product | |
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| ----------- | ----------- | ----------- |----------- | |
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| **dk-fa-cosmetics** (Full dataset) | 421078 | 8325 | 51 | |
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| dkfacs-eyeliner (sub-set) | 30824 | 284 | 109 | |
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| dkfacs-stand (sub-set) | 83197 | 1738 | 48 | |
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| dkfacs-mascara (sub-set) | 47961 | 338 | 142 | |
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| dkfacs-sun-screen (sub-set) | 118699 | 772 | 154 | |
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| dkfacs-eye-shadow (sub-set) | 14532 | 634 | 23 | |
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| dkfacs-nails (sub-set) | 75209 | 3260 | 23 | |
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| dkfacs-lipsticks (sub-set) | 50656 | 1299 | 39 | |
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## Dataset Card Authors |
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Mani Moayedi |
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## Dataset Card Contact |
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[email protected] |
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https://github.com/Acidmanic |
