| --- |
| language: |
| - en |
| license: other |
| task_categories: |
| - automatic-speech-recognition |
| tags: |
| - podcast |
| - transcription |
| - youtube |
| - rss |
| - diarization |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: shows |
| data_files: |
| - split: train |
| path: shows/train.parquet |
| - config_name: episodes |
| data_files: |
| - split: train |
| path: episodes/train-* |
| - config_name: transcripts |
| data_files: |
| - split: train |
| path: transcripts/train-* |
| extra_gated_prompt: "By requesting access you agree to follow our data use policies." |
| extra_gated_fields: |
| First Name: text |
| Last Name: text |
| I am a: |
| type: select |
| options: ["Projxon AI Member", "Non-Projxon AI Member"] |
| I want to use this dataset for: |
| type: select |
| options: |
| - Research |
| - Model Training (pre-training) |
| - Model Training (instruct) |
| - Other |
| --- |
| |
| # 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` | 102,374 | Episode/video metadata (title, description, guests, tags, dates) | |
| | `transcripts` | 102,374 | ASR transcripts with diarized segments + YouTube official captions where available (~52%) | |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("hudsongouge/Podcast-Transcripts-Raw") |
| |
| shows = ds["shows"] |
| episodes = ds["episodes"] |
| transcripts = ds["transcripts"] |
| ``` |
|
|
| Or load configs individually: |
|
|
| ```python |
| episodes = load_dataset("hudsongouge/Podcast-Transcripts-Raw", "episodes", split="train") |
| ``` |
|
|
| ## Schema notes |
|
|
| Nested fields (`hosts`, `guests`, `segments`, `official_transcript`, `metadata`, etc.) are stored as JSON strings in Parquet. Parse with `json.loads(row["metadata"])`. |
|
|
| `official_transcript` (when present) contains publisher-provided captions — YouTube manual/auto subs with timed `segments` and plain `text`. |
|
|
| ## Links |
|
|
| - `episodes.episode_id` → `transcripts.episode_id` |
| - `episodes.show_id` → `shows.show_id` |
