Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Czech
Size:
10K - 100K
License:
| annotations_creators: | |
| - found | |
| language: | |
| - cs | |
| language_creators: | |
| - found | |
| license: | |
| - cc-by-nc-sa-3.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: Mall.cz Product Reviews | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| tags: [] | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - sentiment-classification | |
| # Dataset Card for Mall.cz Product Reviews (Czech) | |
| ## Dataset Description | |
| The dataset contains user reviews from Czech eshop <mall.cz> | |
| Each review contains text, sentiment (positive/negative/neutral), and automatically-detected language (mostly Czech, occasionaly Slovak) using [lingua-py](https://github.com/pemistahl/lingua-py) | |
| The dataset has in total (train+validation+test) 30,000 reviews. The data is balanced. | |
| Train set has 8000 positive, 8000 neutral and 8000 negative reviews. | |
| Validation and test set each have 1000 positive, 1000 neutral and 1000 negative reviews. | |
| ## Dataset Features | |
| Each sample contains: | |
| - `review_id`: unique string identifier of the review. | |
| - `rating_str`: string representation of the rating - "pozitivní" / "neutrální" / "negativní" | |
| - `rating_int`: integer representation of the rating (1=positive, 0=neutral, -1=negative) | |
| - `comment_language`: language of the review (mostly "cs", occasionaly "sk") | |
| - `comment`: the string of the review | |
| ## Dataset Source | |
| The data is a processed adaptation of [Mall CZ corpus](https://liks.fav.zcu.cz/sentiment/). | |
| The adaptation is label-balanced and adds automatically-detected language | |