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README.md
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---
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license: mit
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task_categories:
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- text-generation
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- automatic-speech-recognition
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language:
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- en
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tags:
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- podcast
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- transcript
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- bitcoin
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- audio
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size_categories:
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- 1K<n<10K
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---
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# Podcast Transcripts Dataset
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This dataset contains transcripts from Bitcoin and cryptocurrency podcasts,
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processed by the belief-engines ETL pipeline.
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## Files
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- `transcripts.parquet` - Full episode transcripts with speaker diarization
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- `transcript_chunks.parquet` - Transcript chunks (512 tokens) with optional embeddings
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## Schema
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### transcripts.parquet
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- `episode_id`: Unique episode identifier
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- `podcast_slug`: Podcast name slug
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- `episode_slug`: Episode name slug
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- `episode_title`: Episode title
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- `published_at`: Publication date
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- `duration_seconds`: Episode duration
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- `transcript_text`: Full transcript text
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- `segments`: List of speaker segments
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### transcript_chunks.parquet
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- `chunk_id`: Unique chunk identifier
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- `episode_id`: Parent episode ID
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- `text`: Chunk text (~512 tokens)
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- `timestamp_start`: Start time in seconds
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- `timestamp_end`: End time in seconds
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- `speakers`: List of speakers in chunk
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- `primary_speaker`: Main speaker in chunk
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- `embedding`: Optional text embedding (text-embedding-3-large)
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## Usage
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```python
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from datasets import load_dataset
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# Load full transcripts
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transcripts = load_dataset("rchiera/podcast-transcripts", data_files="data/transcripts.parquet")
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# Load chunks
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chunks = load_dataset("rchiera/podcast-transcripts", data_files="data/transcript_chunks.parquet")
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```
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## License
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MIT License
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