# Dataset Card for "linustechtips"

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [Whispering-GPT](https://github.com/matallanas/whisper_gpt_pipeline)
- **Repository:** [whisper_gpt_pipeline](https://github.com/matallanas/whisper_gpt_pipeline)
- **Paper:** [whisper](https://cdn.openai.com/papers/whisper.pdf) and [gpt](https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf)
- **Point of Contact:** [Whispering-GPT organization](https://huggingface.co/Whispering-GPT)

### Dataset Summary

This dataset is created by applying whisper to the videos of the Youtube channel [Linus Tech Tips](https://www.youtube.com/channel/UCXuqSBlHAE6Xw-yeJA0Tunw). The dataset was created a medium size whisper model.

### Languages

- **Language**: English

## Dataset Structure

The dataset contains all the transcripts plus the audio of the different videos of Linus Tech Tips.

### Data Fields

The dataset is composed by:
- **id**: Id of the youtube video.
- **channel**: Name of the channel.
- **channel\_id**: Id of the youtube channel.
- **title**: Title given to the video.
- **categories**: Category of the video.
- **description**: Description added by the author.
- **text**: Whole transcript of the video.
- **segments**: A list with the time and transcription of the video.
  - **start**: When started the trancription.
  - **end**: When the transcription ends.
  - **text**: The text of the transcription.
- **audio**: the extracted audio of the video.
### Data Splits
- Train split.
## Dataset Creation
### Source Data
The transcriptions are from the videos of [Linus Tech Tips Channel](https://www.youtube.com/channel/UCXuqSBlHAE6Xw-yeJA0Tunw)
### Contributions
Thanks to [Whispering-GPT](https://huggingface.co/Whispering-GPT) organization for adding this dataset.
task_categories:automatic-speech-recognition whisper whispering medium region:us
{"task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "channel", "dtype": "string"}, {"name": "channel_id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "categories", "sequence": "string"}, {"name": "tags", "sequence": "string"}, {"name": "description", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "segments", "list": [{"name": "start", "dtype": "float64"}, {"name": "end", "dtype": "float64"}, {"name": "text", "dtype": "string"}]}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 48000}}}], "splits": [{"name": "train", "num_bytes": 117140526959.355, "num_examples": 5643}], "download_size": 111764307564, "dataset_size": 117140526959.355}, "tags": ["whisper", "whispering", "medium"]}
TAGS
#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us 

# Dataset Card for "linustechtips"

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Contributions

## Dataset Description

- Homepage: Whispering-GPT
- Repository: whisper_gpt_pipeline
- Paper: whisper and gpt
- Point of Contact: Whispering-GPT organization

### Dataset Summary

This dataset is created by applying whisper to the videos of the Youtube channel Linus Tech Tips. The dataset was created a medium size whisper model.

### Languages

- Language: English

## Dataset Structure

The dataset contains all the transcripts plus the audio of the different videos of Linus Tech Tips.

### Data Fields

The dataset is composed by:
- id: Id of the youtube video.
- channel: Name of the channel.
- channel\_id: Id of the youtube channel.
- title: Title given to the video.
- categories: Category of the video.
- description: Description added by the author.
- text: Whole transcript of the video.
- segments: A list with the time and transcription of the video.
  - start: When started the trancription.
  - end: When the transcription ends.
  - text: The text of the transcription.
- audio: the extracted audio of the video.
### Data Splits
- Train split.
## Dataset Creation
### Source Data
The transcriptions are from the videos of Linus Tech Tips Channel
### Contributions
Thanks to Whispering-GPT organization for adding this dataset.
# Dataset Card for "linustechtips" ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Contributions ## Dataset Description

- Homepage: Whispering-GPT
- Repository: whisper_gpt_pipeline
- Paper: whisper and gpt
- Point of Contact: Whispering-GPT organization ### Dataset Summary

This dataset is created by applying whisper to the videos of the Youtube channel Linus Tech Tips. The dataset was created a medium size whisper model. ### Languages

- Language: English ## Dataset Structure

The dataset contains all the transcripts plus the audio of the different videos of Linus Tech Tips. ### Data Fields

The dataset is composed by:
- id: Id of the youtube video.
- channel: Name of the channel.
- channel\_id: Id of the youtube channel.
- title: Title given to the video.
- categories: Category of the video.
- description: Description added by the author.
- text: Whole transcript of the video.
- segments: A list with the time and transcription of the video.
  - start: When started the trancription.
  - end: When the transcription ends.
  - text: The text of the transcription.
- audio: the extracted audio of the video. ### Data Splits
- Train split. ## Dataset Creation ### Source Data
The transcriptions are from the videos of Linus Tech Tips Channel ### Contributions
Thanks to Whispering-GPT organization for adding this dataset.
TAGS
#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us 
 # Dataset Card for "linustechtips" ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Contributions ## Dataset Description

- Homepage: Whispering-GPT
- Repository: whisper_gpt_pipeline
- Paper: whisper and gpt
- Point of Contact: Whispering-GPT organization ### Dataset Summary

This dataset is created by applying whisper to the videos of the Youtube channel Linus Tech Tips. The dataset was created a medium size whisper model. ### Languages

- Language: English ## Dataset Structure

The dataset contains all the transcripts plus the audio of the different videos of Linus Tech Tips. ### Data Fields

The dataset is composed by:
- id: Id of the youtube video.
- channel: Name of the channel.
- channel\_id: Id of the youtube channel.
- title: Title given to the video.
- categories: Category of the video.
- description: Description added by the author.
- text: Whole transcript of the video.
- segments: A list with the time and transcription of the video.
  - start: When started the trancription.
  - end: When the transcription ends.
  - text: The text of the transcription.
- audio: the extracted audio of the video. ### Data Splits
- Train split. ## Dataset Creation ### Source Data
The transcriptions are from the videos of Linus Tech Tips Channel ### Contributions
Thanks to Whispering-GPT organization for adding this dataset.
passage: TAGS
#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us 
# Dataset Card for "linustechtips"## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Contributions## Dataset Description

- Homepage: Whispering-GPT
- Repository: whisper_gpt_pipeline
- Paper: whisper and gpt
- Point of Contact: Whispering-GPT organization### Dataset Summary

This dataset is created by applying whisper to the videos of the Youtube channel Linus Tech Tips. The dataset was created a medium size whisper model.### Languages

- Language: English## Dataset Structure

The dataset contains all the transcripts plus the audio of the different videos of Linus Tech Tips.### Data Fields

The dataset is composed by:
- id: Id of the youtube video.
- channel: Name of the channel.
- channel\_id: Id of the youtube channel.
- title: Title given to the video.
- categories: Category of the video.
- description: Description added by the author.
- text: Whole transcript of the video.
- segments: A list with the time and transcription of the video.
  - start: When started the trancription.
  - end: When the transcription ends.
  - text: The text of the transcription.
- audio: the extracted audio of the video.### Data Splits
- Train split.## Dataset Creation### Source Data
The transcriptions are from the videos of Linus Tech Tips Channel### Contributions
Thanks to Whispering-GPT organization for adding this dataset.