Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
Slovenian
Size:
100K - 1M
License:
| annotations_creators: | |
| - crowdsourced | |
| language: | |
| - sl | |
| language_creators: | |
| - found | |
| license: | |
| - cc-by-sa-4.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: SentiNews | |
| size_categories: [] | |
| source_datasets: | |
| - original | |
| tags: | |
| - slovenian sentiment | |
| - news articles | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - sentiment-classification | |
| # Dataset Card for SentiNews | |
| ## Dataset Description | |
| - **Homepage:** https://github.com/19Joey85/Sentiment-annotated-news-corpus-and-sentiment-lexicon-in-Slovene | |
| - **Paper:** Bučar, J., Žnidaršič, M. & Povh, J. Annotated news corpora and a lexicon for sentiment analysis in Slovene. Lang Resources & Evaluation 52, 895–919 (2018). https://doi.org/10.1007/s10579-018-9413-3 | |
| ### 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](https://github.com/matejklemen) for adding this dataset. | |