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Update README.md with dataset card

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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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+ # Dataset Card for CSFD movie reviews (Czech)
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+ ## Dataset Description
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+ The dataset contains user reviews from Czech movie databse website <https://csfd.cz>.
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+ Each review contains text, rating, date, and basic information about the movie (or TV series).
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+ The dataset has in total (train+validation+test) 30,000 reviews. The data is balanced - each rating has approximately the same frequency.
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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 (from "0/5" to "5/5")
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+ - `rating_int`: integer representation of the rating (from 0 to 5)
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+ - `date`: date of publishing the review (just date, no time nor timezone)
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+ - `comment_language`: language of the review (always "cs")
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+ - `comment`: the string of the review
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+ - `item_title`: title of the reviewed item
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+ - `item_year`: publishing year of the item (string, can also be a range)
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+ - `item_kind`: kind of the item - either "film" or "seriál"
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+ - `item_genres`: list of genres of the item
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+ - `item_directors`: list of director names of the item
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+ - `item_screenwriters`: list of screenwriter names of the item
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+ - `item_cast`: list of actors and actress in the item
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+ ## Dataset Source
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+ The data was mined and sampled from the <https://csfd.cz> website.
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+ Make sure to comply with the terms of conditions of the website operator when using the data.
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