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task_categories: |
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- text-classification |
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license: apache-2.0 |
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size_categories: |
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- 1K<n<10K |
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# AutoTrain Dataset for project: github-emotion-love |
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## Dataset Description |
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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. |
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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. |
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## Dataset Structure |
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Dataset is in CSV format. The columns are: |
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```id, modified_comment, Anger, Love, Fear, Joy, Sadness, Surprise``` |
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Here, `id` is a unique id for each comment. Each emotion is marked as 1 or 0. |
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### Dataset Splits |
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This dataset is split into a train and test split. The split sizes are as follows: |
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| Split name | Num samples | |
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| ------------ | ------------------- | |
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| train | 1600 | |
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| test | 400 | |
