


# Dataset Card for CSFD movie reviews (Slovak)


## Dataset Description

The dataset contains user reviews from Czech/Slovak movie databse website <https://csfd.cz>.
Each review contains text, rating, date, and basic information about the movie (or TV series).
The dataset has in total (train+validation+test) 30,000 reviews. The data is balanced - each rating has approximately the same frequency.


## Dataset Features

Each sample contains:
- `review_id`: unique string identifier of the review.
- `rating_str`: string representation of the rating (from "0/5" to "5/5")
- `rating_int`: integer representation of the rating (from 0 to 5)
- `date`: date of publishing the review (just date, no time nor timezone)
- `comment_language`: language of the review (always "sk")
- `comment`: the string of the review
- `item_title`: title of the reviewed item
- `item_year`: publishing year of the item (string, can also be a range)
- `item_kind`: kind of the item - either "film" or "seriál"
- `item_genres`: list of genres of the item
- `item_directors`: list of director names of the item
- `item_screenwriters`: list of screenwriter names of the item
- `item_cast`: list of actors and actress in the item


## Dataset Source

The data was mined and sampled from the <https://csfd.cz> website.
Make sure to comply with the terms of conditions of the website operator when using the data.

task_categories:text-classification task_ids:sentiment-classification annotations_creators:crowdsourced language_creators:crowdsourced multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:sk license:cc-by-sa-4.0 movie reviews rating prediction region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["sk"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "CSFD movie reviews (Slovak)", "tags": ["movie reviews", "rating prediction"]}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Slovak #license-cc-by-sa-4.0 #movie reviews #rating prediction #region-us 




# Dataset Card for CSFD movie reviews (Slovak)


## Dataset Description

The dataset contains user reviews from Czech/Slovak movie databse website <URL>.
Each review contains text, rating, date, and basic information about the movie (or TV series).
The dataset has in total (train+validation+test) 30,000 reviews. The data is balanced - each rating has approximately the same frequency.


## Dataset Features

Each sample contains:
- 'review_id': unique string identifier of the review.
- 'rating_str': string representation of the rating (from "0/5" to "5/5")
- 'rating_int': integer representation of the rating (from 0 to 5)
- 'date': date of publishing the review (just date, no time nor timezone)
- 'comment_language': language of the review (always "sk")
- 'comment': the string of the review
- 'item_title': title of the reviewed item
- 'item_year': publishing year of the item (string, can also be a range)
- 'item_kind': kind of the item - either "film" or "seriál"
- 'item_genres': list of genres of the item
- 'item_directors': list of director names of the item
- 'item_screenwriters': list of screenwriter names of the item
- 'item_cast': list of actors and actress in the item


## Dataset Source

The data was mined and sampled from the <URL> website.
Make sure to comply with the terms of conditions of the website operator when using the data.

# Dataset Card for CSFD movie reviews (Slovak) ## Dataset Description

The dataset contains user reviews from Czech/Slovak movie databse website <URL>.
Each review contains text, rating, date, and basic information about the movie (or TV series).
The dataset has in total (train+validation+test) 30,000 reviews. The data is balanced - each rating has approximately the same frequency. ## Dataset Features

Each sample contains:
- 'review_id': unique string identifier of the review.
- 'rating_str': string representation of the rating (from "0/5" to "5/5")
- 'rating_int': integer representation of the rating (from 0 to 5)
- 'date': date of publishing the review (just date, no time nor timezone)
- 'comment_language': language of the review (always "sk")
- 'comment': the string of the review
- 'item_title': title of the reviewed item
- 'item_year': publishing year of the item (string, can also be a range)
- 'item_kind': kind of the item - either "film" or "seriál"
- 'item_genres': list of genres of the item
- 'item_directors': list of director names of the item
- 'item_screenwriters': list of screenwriter names of the item
- 'item_cast': list of actors and actress in the item ## Dataset Source

The data was mined and sampled from the <URL> website.
Make sure to comply with the terms of conditions of the website operator when using the data.
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Slovak #license-cc-by-sa-4.0 #movie reviews #rating prediction #region-us 
 # Dataset Card for CSFD movie reviews (Slovak) ## Dataset Description

The dataset contains user reviews from Czech/Slovak movie databse website <URL>.
Each review contains text, rating, date, and basic information about the movie (or TV series).
The dataset has in total (train+validation+test) 30,000 reviews. The data is balanced - each rating has approximately the same frequency. ## Dataset Features

Each sample contains:
- 'review_id': unique string identifier of the review.
- 'rating_str': string representation of the rating (from "0/5" to "5/5")
- 'rating_int': integer representation of the rating (from 0 to 5)
- 'date': date of publishing the review (just date, no time nor timezone)
- 'comment_language': language of the review (always "sk")
- 'comment': the string of the review
- 'item_title': title of the reviewed item
- 'item_year': publishing year of the item (string, can also be a range)
- 'item_kind': kind of the item - either "film" or "seriál"
- 'item_genres': list of genres of the item
- 'item_directors': list of director names of the item
- 'item_screenwriters': list of screenwriter names of the item
- 'item_cast': list of actors and actress in the item ## Dataset Source

The data was mined and sampled from the <URL> website.
Make sure to comply with the terms of conditions of the website operator when using the data.
passage: TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Slovak #license-cc-by-sa-4.0 #movie reviews #rating prediction #region-us 
# Dataset Card for CSFD movie reviews (Slovak)## Dataset Description

The dataset contains user reviews from Czech/Slovak movie databse website <URL>.
Each review contains text, rating, date, and basic information about the movie (or TV series).
The dataset has in total (train+validation+test) 30,000 reviews. The data is balanced - each rating has approximately the same frequency.## Dataset Features

Each sample contains:
- 'review_id': unique string identifier of the review.
- 'rating_str': string representation of the rating (from "0/5" to "5/5")
- 'rating_int': integer representation of the rating (from 0 to 5)
- 'date': date of publishing the review (just date, no time nor timezone)
- 'comment_language': language of the review (always "sk")
- 'comment': the string of the review
- 'item_title': title of the reviewed item
- 'item_year': publishing year of the item (string, can also be a range)
- 'item_kind': kind of the item - either "film" or "seriál"
- 'item_genres': list of genres of the item
- 'item_directors': list of director names of the item
- 'item_screenwriters': list of screenwriter names of the item
- 'item_cast': list of actors and actress in the item## Dataset Source

The data was mined and sampled from the <URL> website.
Make sure to comply with the terms of conditions of the website operator when using the data.