Dataset Card for SentiNews

Dataset Summary

SentiNews is a Slovenian sentiment classification dataset, consisting of news articles manually annotated with their sentiment by between two and six annotators. It is annotated at three granularities:

• document-level (config document_level , 10 427 documents),
• paragraph-level (config paragraph_level , 89 999 paragraphs), and
• sentence-level (config sentence_level , 168 899 sentences).

Supported Tasks and Leaderboards

Sentiment classification, three classes (negative, neutral, positive).

Languages

Slovenian.

Dataset Structure

Data Instances

A sample instance from the sentence-level config:

{
  'nid': 2, 
  'content': 'Vilo Prešeren je na dražbi ministrstva za obrambo kupilo nepremičninsko podjetje Condor Real s sedežem v Lescah.', 
  'sentiment': 'neutral', 
  'pid': 1, 
  'sid': 1
}

Data Fields

The data fields are similar among all three configs, with the only difference being the IDs.

• nid : a uint16 containing a unique ID of the news article (document).
• content : a string containing the body of the news article
• sentiment : the sentiment of the instance
• pid : a uint8 containing the consecutive number of the paragraph inside the current news article, not unique (present in the configs paragraph_level and sentence_level )
• sid : a uint8 containing the consecutive number of the sentence inside the current paragraph, not unique (present in the config sentence_level )

Additional Information

Dataset Curators

Jože Bučar, Martin Žnidaršič, Janez Povh.

Licensing Information

CC BY-SA 4.0

Citation Information

@article{buvcar2018annotated, 
  title={Annotated news corpora and a lexicon for sentiment analysis in Slovene}, 
  author={Bu{\v{c}}ar, Jo{\v{z}}e and {\v{Z}}nidar{\v{s}}i{\v{c}}, Martin and Povh, Janez}, 
  journal={Language Resources and Evaluation}, 
  volume={52}, 
  number={3}, 
  pages={895--919}, 
  year={2018}, 
  publisher={Springer}
}

Contributions

Thanks to @matejklemen for adding this dataset.