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--- |
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language: |
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- ru |
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license: |
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- mit |
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multilinguality: |
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- russian |
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task_categories: |
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- text-classification |
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task_ids: |
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- sentiment-classification |
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- multi-class-classification |
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- multi-label-classification |
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pretty_name: RuIzardEmotions |
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tags: |
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- emotion |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for RuIzardEmotions |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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### Dataset Summary |
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The RuIzardEmotions dataset is a high-quality translation of the [go-emotions](https://huggingface.co/datasets/go_emotions) dataset and the other [emotion-detection](https://www.kaggle.com/datasets/ishantjuyal/emotions-in-text/data) dataset. It contains 30k Reddit comments labeled for 10 emotion categories (__joy__, __sadness__, __anger__, __enthusiasm__, __surprise__, __disgust__, __fear__, __guilt__, __shame__ and __neutral__). |
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The datasets were translated using the accurate translator [DeepL](https://www.deepl.com/translator) and additional processing. The idea for the dataset was inspired by the [Izard's model](https://en.wikipedia.org/wiki/Differential_Emotions_Scale) of human emotions. |
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The dataset already with predefined train/val/test splits. |
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### Supported Tasks and Leaderboards |
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This dataset is intended for multi-class, multi-label emotion classification. |
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### Languages |
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The data is in Russian. |
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## Dataset Structure |
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### Data Instances |
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Each instance is a reddit comment with one or more emotion annotations (or neutral). |
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### Data Splits |
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The simplified data includes a set of train/val/test splits with 24k, 3k, and 3k examples respectively. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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Emotion detection is a worthwhile problem which can potentially lead to improvements such as better human/computer |
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interaction. However, emotion detection algorithms (particularly in computer vision) have been abused in some cases |
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to make erroneous inferences in human monitoring and assessment applications such as hiring decisions, insurance |
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pricing, and student attentiveness |
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## Additional Information |
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### Licensing Information |
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The GitHub repository which houses this dataset has an |
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[Apache License 2.0](https://github.com/Djacon/russian-emotion-detection/blob/main/LICENSE). |
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### Citation Information |
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``` |
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@inproceedings{Djacon, |
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author={Djacon}, |
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title={RuIzardEmotions: A Dataset of Fine-Grained Emotions}, |
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year={2023} |
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} |
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``` |
