Data used in the Interspeech 2022 paper "BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model" This is a corpus of literary texts that have been annotated with prominence and boundary features using the Wavelet Prosody Toolkit (https://github.com/asuni/wavelet_prosody_toolkit). Each text is read by three separate speakers. A subcorpus of contrastively focused pronouns is also provided. Train and Test sets for prominence prediction task. -Lines starting with '<file>' identify the utterances. Here you will find book/speaker/chapter/chapter-utterance# information. -The columns of the remaining lines: word / quantized CWT prominence features / quantized CWT boundary features / Raw CWT prominence features / Raw CWT boundary features Majority, Minority and nonContrastivePronouns are dictionaries containing the chapter-utterance# (in Test.txt) and sentence index of the pronouns used for evaluation in the Interspeech paper. Majority - at least two out of three speakers use contrastive focus. Minority - only one speaker used contrastive focus. nonContrastivePronouns - none of the speakers used contrastive focus.