Generation procedure
The dataset was constructed using documents from the Pile scored using LDNOOBW wordlist (a score is number of curses per character).
The procedure was the following:
- The first half of the data are 100k documents randomly sampled from the Pile and assigned scores
- The second half are the most cursing document from the Pile, obtained by scoring the whole Pile and choosing 100k documents with highest scores
- Then, the dataset was shuffled and a 9:1 train-test split was done
Basic stats
The average and median scores are 0.013 and 0.019, respectively.