Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Slovak
Size:
10K - 100K
License:
annotations_creators: | |
- crowdsourced | |
language: | |
- sk | |
language_creators: | |
- crowdsourced | |
license: | |
- cc-by-sa-4.0 | |
multilinguality: | |
- monolingual | |
pretty_name: CSFD movie reviews (Slovak) | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- original | |
tags: | |
- movie reviews | |
- rating prediction | |
task_categories: | |
- text-classification | |
task_ids: | |
- sentiment-classification | |
# 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. | |