  Podcasts are a relatively new form of audio media. Episodes appear on a
regular cadence, and come in many different formats and levels of formality.
They can be formal news journalism or conversational chat; fiction or
non-fiction. They are rapidly growing in popularity and yet have been
relatively little studied. As an audio format, podcasts are more varied in
style and production types than, say, broadcast news, and contain many more
genres than typically studied in video research. The medium is therefore a rich
domain with many research avenues for the IR and NLP communities. We present
the Spotify Podcast Dataset, a set of approximately 100K podcast episodes
comprised of raw audio files along with accompanying ASR transcripts. This
represents over 47,000 hours of transcribed audio, and is an order of magnitude
larger than previous speech-to-text corpora.
