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Podcast Transcripts
Speaker-diarized transcripts from ~100k podcast episodes and YouTube videos (~45k hours of audio).
This dataset will be gated. Only people who are part of our team may access.
Splits
| Config | Rows | Description |
|---|---|---|
shows |
124 | Channels / podcast feeds (name, description, hosts, links) |
episodes |
99,862 | Episode/video metadata (title, description, guests, tags, dates) |
transcripts |
99,862 | ASR transcripts with diarized segments |
Load
from datasets import load_dataset
ds = load_dataset("hudsongouge/podcast-transcripts")
shows = ds["shows"]
episodes = ds["episodes"]
transcripts = ds["transcripts"]
Or load configs individually:
episodes = load_dataset("hudsongouge/podcast-transcripts", "episodes", split="train")
Schema notes
Nested fields (hosts, guests, segments, metadata, etc.) are stored as JSON strings in Parquet. Parse with json.loads(row["metadata"]).
Links
episodes.episode_id→transcripts.episode_idepisodes.show_id→shows.show_id
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