Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Czech
Size:
10K - 100K
License:
fewshot-goes-multilingual-admin
commited on
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Parent(s):
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Update README.md with dataset card
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README.md
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task_ids:
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- sentiment-classification
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---
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task_ids:
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- sentiment-classification
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---
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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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