Lex Fridman Conversations Dataset
Data Science and Analytics
Tags and Keywords
Trusted By




"No reviews yet"
Free
About
Dive deep into the fascinating world of conversations between Lex Fridman and his esteemed guests with this dataset of podcast transcripts. It features discussions with thought leaders from diverse fields such as technology, science, philosophy, and art, offering a treasure trove of insights and wisdom. Researchers, data scientists, and enthusiasts can explore the nuances of each conversation, uncover emerging trends, and gain valuable knowledge through text analysis, enabling a deeper understanding of human knowledge and curiosity. Each entry includes details such as the guest's name, episode title, and the transcript text, providing a rich resource for analysis and exploration.
Columns
- id: Episode ID
- guest: Name of the guest that appeared in the episode
- title: Title of the episode
- text: Transcript of the episode
Distribution
This dataset is typically provided in a CSV file format. Specific numbers for the total rows or records are not detailed in the available information, though unique values for guests (317) and titles (318) are noted. A sample file will be updated separately to the platform.
Usage
This dataset is ideal for:
- Uncovering trends and extracting key insights from podcast discussions.
- Gaining a deeper understanding of topics discussed on the podcast.
- Conducting sentiment analysis on conversations.
- Performing topic modelling to identify key themes.
- Any other text analysis tasks involving in-depth human conversations.
Coverage
The dataset's content is global in its scope, reflecting the international reach of the podcast and its guests. Specific time ranges for the podcast episodes themselves are not provided in the available details.
License
CC0
Who Can Use It
- Researchers: For academic studies on discourse, knowledge propagation, or specific domain analysis.
- Data Scientists: To perform advanced text analysis, build Natural Language Processing (NLP) models, or extract structured insights from unstructured text.
- Enthusiasts: Individuals interested in exploring the discussions of prominent figures in technology, science, philosophy, and art.
Dataset Name Suggestions
- Lex Fridman Podcast Transcripts
- Lex Fridman Conversations Dataset
- Lex Fridman Show Transcripts
- Thought Leader Podcast Transcripts
Attributes
Original Data Source: Lex Fridman Podcast Transcript