README.md

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task_categories:
- text-classification

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# AutoTrain Dataset for project: github-emotion-love

## Dataset Description

Dataset used in the paper: Imran et al., ["Data Augmentation for Improving Emotion Recognition in Software Engineering Communication"](https://arxiv.org/abs/2208.05573), ASE-2022.

This is an annotated dataset of 2000 GitHub comments. Six basic emotions are annotated. They are Anger, Love, Fear, Joy, Sadness and Surprise. This repository contains annotations of all emotions.

## Dataset Structure

Dataset is in CSV format. The columns are:

```id, modified_comment, Anger, Love, Fear, Joy, Sadness, Surprise```

Here, `id` is a unique id for each comment. Each emotion is marked as 1 or 0.


### Dataset Splits

This dataset is split into a train and test split. The split sizes are as follows:

| Split name   | Num samples         |
| ------------ | ------------------- |
| train        | 1600 |
| test        | 400 |