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+ ## Generation procedure
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+ The dataset was constructed using documents from [the Pile](https://pile.eleuther.ai/) scored using [LDNOOBW](https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words) wordlist (a score is number of curses per character).
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+ The procedure was the following:
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+ 1. The first half of the data are 100k documents randomly sampled from the Pile and assigned scores
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+ 2. The second half are the most cursing document from the Pile, obtained by scoring the whole Pile and choosing 100k documents with highest scores
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+ 3. Then, the dataset was shuffled and a 9:1 train-test split was done
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+ ## Basic stats
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+ The average and median scores are 0.013 and 0.019, respectively.