# Dataset Card for "lex_fridman_podcast"

### Dataset Summary

This dataset contains transcripts from the [Lex Fridman podcast](https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4) (Episodes 1 to 325).
The transcripts were generated using [OpenAI Whisper](https://github.com/openai/whisper) (large model) and made publicly available at: https://karpathy.ai/lexicap/index.html.


### Languages

- English


## Dataset Structure

The dataset contains around 803K entries, consisting of audio transcripts generated from episodes 1 to 325 of the [Lex Fridman podcast](https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4).  In addition to the transcript text, the dataset includes other metadata such as episode id and title, guest name, and start and end timestamps for each transcript.

### Data Fields

The dataset schema is as follows:
- **id**: Episode id.
- **guest**: Name of the guest interviewed.
- **title:** Title of the episode.
- **text:** Text of the transcription.
- **start:** Timestamp (`HH:mm:ss.mmm`) indicating the beginning of the trancription.
- **end:** Timestamp (`HH:mm:ss.mmm`) indicating the end of the trancription.


### Source Data

Source data provided by Andrej Karpathy at: https://karpathy.ai/lexicap/index.html

### Contributions

Thanks to [nmac](https://huggingface.co/nmac) for adding this dataset.
task_categories:automatic-speech-recognition task_categories:sentence-similarity size_categories:100K<n<1M language:en podcast whisper region:us
{"language": ["en"], "size_categories": ["100K<n<1M"], "task_categories": ["automatic-speech-recognition", "sentence-similarity"], "tags": ["podcast", "whisper"]}
TAGS
#task_categories-automatic-speech-recognition #task_categories-sentence-similarity #size_categories-100K<n<1M #language-English #podcast #whisper #region-us 

# Dataset Card for "lex_fridman_podcast"

### Dataset Summary

This dataset contains transcripts from the Lex Fridman podcast (Episodes 1 to 325).
The transcripts were generated using OpenAI Whisper (large model) and made publicly available at: URL


### Languages

- English


## Dataset Structure

The dataset contains around 803K entries, consisting of audio transcripts generated from episodes 1 to 325 of the Lex Fridman podcast.  In addition to the transcript text, the dataset includes other metadata such as episode id and title, guest name, and start and end timestamps for each transcript.

### Data Fields

The dataset schema is as follows:
- id: Episode id.
- guest: Name of the guest interviewed.
- title: Title of the episode.
- text: Text of the transcription.
- start: Timestamp ('HH:mm:URL') indicating the beginning of the trancription.
- end: Timestamp ('HH:mm:URL') indicating the end of the trancription.


### Source Data

Source data provided by Andrej Karpathy at: URL

### Contributions

Thanks to nmac for adding this dataset.
# Dataset Card for "lex_fridman_podcast" ### Dataset Summary

This dataset contains transcripts from the Lex Fridman podcast (Episodes 1 to 325).
The transcripts were generated using OpenAI Whisper (large model) and made publicly available at: URL ### Languages

- English ## Dataset Structure

The dataset contains around 803K entries, consisting of audio transcripts generated from episodes 1 to 325 of the Lex Fridman podcast.  In addition to the transcript text, the dataset includes other metadata such as episode id and title, guest name, and start and end timestamps for each transcript. ### Data Fields

The dataset schema is as follows:
- id: Episode id.
- guest: Name of the guest interviewed.
- title: Title of the episode.
- text: Text of the transcription.
- start: Timestamp ('HH:mm:URL') indicating the beginning of the trancription.
- end: Timestamp ('HH:mm:URL') indicating the end of the trancription. ### Source Data

Source data provided by Andrej Karpathy at: URL ### Contributions

Thanks to nmac for adding this dataset.
TAGS
#task_categories-automatic-speech-recognition #task_categories-sentence-similarity #size_categories-100K<n<1M #language-English #podcast #whisper #region-us 
 # Dataset Card for "lex_fridman_podcast" ### Dataset Summary

This dataset contains transcripts from the Lex Fridman podcast (Episodes 1 to 325).
The transcripts were generated using OpenAI Whisper (large model) and made publicly available at: URL ### Languages

- English ## Dataset Structure

The dataset contains around 803K entries, consisting of audio transcripts generated from episodes 1 to 325 of the Lex Fridman podcast.  In addition to the transcript text, the dataset includes other metadata such as episode id and title, guest name, and start and end timestamps for each transcript. ### Data Fields

The dataset schema is as follows:
- id: Episode id.
- guest: Name of the guest interviewed.
- title: Title of the episode.
- text: Text of the transcription.
- start: Timestamp ('HH:mm:URL') indicating the beginning of the trancription.
- end: Timestamp ('HH:mm:URL') indicating the end of the trancription. ### Source Data

Source data provided by Andrej Karpathy at: URL ### Contributions

Thanks to nmac for adding this dataset.
passage: TAGS
#task_categories-automatic-speech-recognition #task_categories-sentence-similarity #size_categories-100K<n<1M #language-English #podcast #whisper #region-us 
# Dataset Card for "lex_fridman_podcast"### Dataset Summary

This dataset contains transcripts from the Lex Fridman podcast (Episodes 1 to 325).
The transcripts were generated using OpenAI Whisper (large model) and made publicly available at: URL### Languages

- English## Dataset Structure

The dataset contains around 803K entries, consisting of audio transcripts generated from episodes 1 to 325 of the Lex Fridman podcast.  In addition to the transcript text, the dataset includes other metadata such as episode id and title, guest name, and start and end timestamps for each transcript.### Data Fields

The dataset schema is as follows:
- id: Episode id.
- guest: Name of the guest interviewed.
- title: Title of the episode.
- text: Text of the transcription.
- start: Timestamp ('HH:mm:URL') indicating the beginning of the trancription.
- end: Timestamp ('HH:mm:URL') indicating the end of the trancription.### Source Data

Source data provided by Andrej Karpathy at: URL### Contributions

Thanks to nmac for adding this dataset.