| --- |
| language: |
| - en |
| - es |
| - de |
| - ja |
| - zh |
| - nl |
| - "no" |
| - fr |
| - uk |
| - sv |
| - it |
| - da |
| - fi |
| - pt |
| license: other |
| license_name: public-domain |
| license_link: LICENSE |
| task_categories: |
| - text-to-speech |
| - automatic-speech-recognition |
| size_categories: |
| - 1K<n<10K |
| tags: |
| - audio |
| - webdataset |
| - synthetic-speech |
| - notebooklm |
| - multilingual |
| pretty_name: NotebookLM Podcasts |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: "*.tar" |
| --- |
| |
| # NotebookLM Podcasts |
|
|
| A multilingual collection of **8,223 podcast episodes** totaling **2,411.5 hours**, organized as WebDataset TAR shards. Google NotebookLM is a research and note-taking tool that can generate podcast-style audio discussions from source material. The collection contains AI-generated audio; some episodes also contain human introductions or editing. |
|
|
| **License:** Public Domain. |
|
|
| ## Collection |
|
|
| An Agentify-style search used parallel agents to find publicly available podcasts, RSS feeds, and direct audio links. Original feed and episode metadata were retained with the audio. NotebookLM attribution and spoken language follow the available publisher and feed information; not every recording has been independently listened to. |
|
|
| ## Listen to examples |
|
|
| Two complete episodes per language. Sign in to access the audio in this private dataset. |
|
|
| ### English |
|
|
| **Ep.59/1803 - Ontological Dependence** — ChatSEP (7:34) |
|
|
| <audio controls preload="none" src="https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/en-01.m4a"></audio> |
|
|
| [Open audio](https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/en-01.m4a) |
|
|
| **Ep.45/1803 - Medieval Theories: Properties of Terms** — ChatSEP (7:41) |
|
|
| <audio controls preload="none" src="https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/en-02.m4a"></audio> |
|
|
| [Open audio](https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/en-02.m4a) |
|
|
| ### German |
|
|
| **OX.ai 18/18 - Robert Sapolsky: Individuelle Unterschiede und die wichtigste Aussicht** — Wissen in Bewegung (6:14) |
|
|
| <audio controls preload="none" src="https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/de-01.mp3"></audio> |
|
|
| [Open audio](https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/de-01.mp3) |
|
|
| **OX.ai 14/18 - Robert Sapolsky: Menschliches Sexualverhalten II: Pheromone und Abwechslung** — Wissen in Bewegung (6:33) |
|
|
| <audio controls preload="none" src="https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/de-02.mp3"></audio> |
|
|
| [Open audio](https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/de-02.mp3) |
|
|
| ### Spanish |
|
|
| **El brócoli entre los donuts: Por qué el contenido serio se siente incómodo en YouTube** — RGartner Audios Español (5:58) |
|
|
| <audio controls preload="none" src="https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/es-01.mp3"></audio> |
|
|
| [Open audio](https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/es-01.mp3) |
|
|
| **El influencer equivocado: Por qué fracasan las campañas publicitarias** — RGartner Audios Español (7:38) |
|
|
| <audio controls preload="none" src="https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/es-02.mp3"></audio> |
|
|
| [Open audio](https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/es-02.mp3) |
|
|
| ### Dutch |
|
|
| **BoerBurgerBeweging – BBBeter Nederland** — Politieke Bla Bla (10:47) |
|
|
| <audio controls preload="none" src="https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/nl-01.mp3"></audio> |
|
|
| [Open audio](https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/nl-01.mp3) |
|
|
| **CDA – Bouwen op vertrouwen** — Politieke Bla Bla (18:54) |
|
|
| <audio controls preload="none" src="https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/nl-02.mp3"></audio> |
|
|
| [Open audio](https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/nl-02.mp3) |
|
|
| ### French |
|
|
| **⏪ Le récap' de Deep Media 🎙️ Mélissa Hébert, directrice plateformes à Télé-Québec** — Deep Media (6:07) |
|
|
| <audio controls preload="none" src="https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/fr-01.mp3"></audio> |
|
|
| [Open audio](https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/fr-01.mp3) |
|
|
| **⏪ Le récap' de Deep Media 🎙️ Sandrine Roustan, directrice générale des contenus de la RTBF** — Deep Media (6:11) |
|
|
| <audio controls preload="none" src="https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/fr-02.mp3"></audio> |
|
|
| [Open audio](https://huggingface.co/datasets/TTS-AGI/NotebookLM-Podcasts/resolve/main/examples/fr-02.mp3) |
|
|
| ## Statistics |
|
|
| | Language | Episodes | Hours | |
| |---|---:|---:| |
| | English | 6,624 | 1,975.3 | |
| | Spanish | 662 | 209.4 | |
| | German | 319 | 96.6 | |
| | Japanese | 142 | 33.6 | |
| | Chinese | 126 | 16.7 | |
| | English / Dutch – unresolved | 104 | 29.5 | |
| | Norwegian | 66 | 8.0 | |
| | French | 57 | 13.6 | |
| | Dutch | 38 | 12.8 | |
| | Ukrainian | 34 | 4.1 | |
| | Swedish / English – unresolved | 17 | 4.3 | |
| | Italian | 15 | 3.8 | |
| | Swedish | 8 | 0.8 | |
| | Danish | 5 | 0.7 | |
| | Finnish | 4 | 1.1 | |
| | Portuguese | 1 | 0.5 | |
| | English / German – unresolved | 1 | 0.7 | |
| | **Total** | **8,223** | **2,411.5** | |
|
|
| Every episode has a known duration. Mixed-language labels indicate that the spoken language has not been resolved. |
|
|
| ## Dataset structure |
|
|
| Each TAR shard contains paired files sharing the same key: `KEY.mp3`, `KEY.m4a`, `KEY.wav`, or `KEY.mp4`, and `KEY.json`. Most audio is MP3 or M4A; the collection also includes WAV and one MP4 containing audio and video. File extensions follow the container signature. |
|
|
| The JSON metadata can include source and episode information, RSS XML or publisher-page HTML, source and media URLs, timestamps, HTTP response details, provenance notes, file size, and a SHA-256 checksum. Available fields vary by source; session-cookie header values are redacted. |
|
|
| ```text |
| shard-00000.tar |
| KEY.mp3 |
| KEY.json |
| ... |
| ``` |
|
|
