Update README.md

README.md

@@ -1,3 +1,47 @@
 ---
 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}
+}