lex-fridman-podcast / README.md
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metadata
license: mit
task_categories:
  - text-generation
  - question-answering
  - summarization
language:
  - en
tags:
  - podcast
  - transcription
  - conversations
size_categories:
  - n<1K

Lex Fridman Podcast Conversations Dataset

Dataset Description

This dataset contains transcriptions of conversations from the Lex Fridman Podcast, featuring in-depth discussions on artificial intelligence, science, technology, philosophy, and more. The dataset includes 441 transcribed episodes, covering most of the podcast episodes up to January 2025 (excluding 10 episodes).

Dataset Structure

Features

  • Title: String - The title of the podcast episode
  • Transcript: String - The transcribed content of the episode

Statistics

  • Total number of examples: 441
  • Dataset size: 58.55 MB
  • Download size: 31.56 MB

Splits

  • Training split: 441 examples

Intended Uses

This dataset can be used for various natural language processing tasks including:

  • Text Generation
  • Summarization
  • Question Answering
  • Text-to-Speech Applications

Technical Details

Config Name

  • lex-fridman-podcast-conversations

Data Files

  • Split: train
  • Path: lex-fridman-podcast-conversations/train-*

Language

  • English

Size Category

  • n<1K (less than 1,000 examples)

License

MIT License

Citations & Attribution

Please ensure to cite:

  1. The Lex Fridman Podcast as the original source of the conversations
  2. This dataset if used in research or applications

Notes

  • The dataset excludes 10 episodes from the complete podcast series
  • Last updated: January 20, 2025

Ethical Considerations

When using this dataset, please consider:

  1. Proper attribution to the original content creator
  2. Responsible use of the transcribed content
  3. Respect for speaker privacy and context
  4. Appropriate content filtering for downstream applications

Technical Implementation

The dataset is structured for easy integration with common machine learning frameworks and can be loaded using standard dataset loading utilities.