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tags: |
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- Reddit |
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- OpenAI |
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- GPT-3 |
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- Davinci-002 |
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- PRAW |
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- PMAW |
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size_categories: |
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- 10K<n<100K |
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# Are You The Asshole Training Data |
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These are the datasets used for a project Alex Petros and I made called [AreYouTheAsshole.com](https://www.areyoutheasshole.com). The site is intended to give users a fun and interactive way to experience the effect of bias in AI due to skewed data. We achieved this by fine-tuning three GPT-3 Davinci-002 models on the prompt/completion pairs you see here. |
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Each prompt/completion pair constitutes a post body (the prompt) and a comment (the completion). Just as there may be multiple comments to a single post, there may be multiple completions for a single prompt. |
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The dataset was filtered down from >100,000 post/comment pairs to only those whose comments started with a clear acronym judgement. So, comments like "Well I think YTA because..." were filtered out, whereas comments like "YTA and it's not even close..." were kept. |
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After filtering for clear judgement, we had our neutral dataset, the one you can find in "Neutral_Dataset.jsonl". In order to create intentionally biased data, we then split that dataset into two subsets based on whether a given post/comment pair's comment judged the poster as The Asshole or Not The Asshole. Some edge cases were also filtered out. |
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The dataset contains three sets: |
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- Neutral_Dataset.jsonl (contains all clear judgements, YTA, NTA, etc.) |
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- YTA_Dataset.jsonl (only contains judgements of YTA or similar) |
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- NTA_Dataset.jsonl (only contains judgements of NTA or similar) |
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### Data Collection: |
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This data was collected from Reddit's r/AmITheAsshole subreddit using PMAW/PRAW and the Reddit API |
