YCSEP: YouTube Corpus of Singapore English Podcasts

The YouTube Corpus of Singapore English Podcasts (YCSEP) contains transcripts from 620 hours of over 1,300 podcast episodes by Singapore-based content creators. The dataset, diarized into individual speaker turns, contains over 757,000 individual turns and 8.38 million word tokens. Created using a pipeline comprising yt-dlp, WhisperX, and pyannote.audio, it is intended to advance the study of the linguistic and discourse properties of Singapore English. For more information, please see Coats, Steven, Carmelo Alessandro Basile, Cameron Morin and Robert Fuchs. (2025). The YouTube Corpus of Singapore English Podcasts. English World-Wide. v2 of the corpus (YCSEP_v2_Feb26.csv) comprises transcripts of the same material generated by a Whisper model fine-tuned on conversational Singapore speech. For more information, please see (tba).