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  task_ids:
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  - sentiment-classification
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  task_ids:
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  - sentiment-classification
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  ---
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+ # Dataset Card for Mall.cz Product Reviews (Czech)
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+ ## Dataset Description
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+ The dataset contains user reviews from Czech eshop <mall.cz>
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+ 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)
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+ The dataset has in total (train+validation+test) 30,000 reviews. The data is balanced.
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+ Train set has 8000 positive, 8000 neutral and 8000 negative reviews.
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+ Validation and test set each have 1000 positive, 1000 neutral and 1000 negative reviews.
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+ ## Dataset Features
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+ Each sample contains:
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+ - `review_id`: unique string identifier of the review.
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+ - `rating_str`: string representation of the rating - "pozitivní" / "neutrální" / "negativní"
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+ - `rating_int`: integer representation of the rating (1=positive, 0=neutral, -1=negative)
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+ - `comment_language`: language of the review (mostly "cs", occasionaly "sk")
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+ - `comment`: the string of the review
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+ ## Dataset Source
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+ The data is a processed adaptation of [Mall CZ corpus](https://liks.fav.zcu.cz/sentiment/).
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+ The adaptation is label-balanced and adds automatically-detected language