metadata

task_categories:
  - text-classification

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", 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