---
license: cc-by-4.0
task_categories:
- text-classification
language:
- fi
size_categories:
- 10K<n<100K
---

# Dataset Card for HunEmPoli_finnish

This dataset is a machine translated version of the HunEmPoli dataset set available here: https://osf.io/67zsf/?view_only=a23e5b6ba5ef443892a885a3f1d1d1e7 <br>
Details about the dataset can be found in the original paper. <br>
The dataset was translated into Finnish using DeepL: https://www.deepl.com/translator 

## Uses

The dataset can be used to train an emotion analysis model.

## Dataset Structure

The data fiels are:

- `text`: A sentence from the Hungarian parliament.
- `label`: Aclassification label, where 0 = `neutral`, 1 = `fear`, 2 = `sadness`, 3 = `anger`, 4 = `disgust`, 5 = `success`, 6 = `joy`, 7 = `trust`.
- `id`: Anique identifier for each sentence. Numbering matches the row numbers in the original dataset.

## Recommendations

The dataset is machine translated and, thus, might include mistranslations. The quality of the translation has not been verified. Make sure the data is suitable for your use case!

## Citation

Please, cite the original work when using the data.

@ARTICLE{10149341,
  author={Üveges, István and Ring, Orsolya},
  journal={IEEE Access}, 
  title={HunEmBERT: A Fine-Tuned BERT-Model for Classifying Sentiment and Emotion in Political Communication}, 
  year={2023},
  volume={11},
  number={},
  pages={60267-60278},
  keywords={Analytical models;Task analysis;Sentiment analysis;Dictionaries;Social sciences;Bit error rate;Data models;Emotion recognition;Fine-tuned BERT-model;huBERT;emotion analysis;sentiment analysis;political communication},
  doi={10.1109/ACCESS.2023.3285536}
}