license:apache-2.0 size_categories:10K<n<100K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
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license: apache-2.0
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# Description
This dataset was developed as part of [a project](https://github.com/vennietweek/aita-analysis-tool/tree/main) for CS5246, taken in AY23/24 S2 at the National University of Singapore. My group and I intially processed the data from Reddit,
turned it into a binary classification task, and addressed dataset imbalance by sourcing extra samples from a publicly available dataset [here](https://areyoutheasshole.com/training-data). 

## Breakdown
The training set consists of 10,872 samples,
which are balanced between 5,134 samples labelled as
'not morally wrong' and 5,738 labelled as 'morally
wrong'. Conversely, the testing set includes a total of
6,000 samples, distributed between 5,000 'not morally
wrong' and 1,000 'morally wrong' samples.

## Group Members:
- Kiat Hui Khang @hkkiat
- Lee Ming Xuan @lmngxn
- Jean Ong Hui Fang @jeanong2
- Venessa Tan @vennietweek