The original text corpus comprises approximately 19 million words. We load the entire corpus as a single dataset and randomly sample synthetic "novels," each with a consistent length of 40,000 words. Our newly-generated corpus contains 320 synthetic "novels," matching the number of novels in the original corpus. This approach addresses two main objectives. Firstly, it ensures that the generated corpus reflects real-life word occurrences and frequencies. Secondly, it results in a homogeneous corpus, eliminating subgenre differences, since each text is sampled from the entire corpus.