README.md

metadata

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
  splits:
    - name: train
      num_bytes: 177776633.92326075
      num_examples: 5655
  download_size: 100975518
  dataset_size: 177776633.92326075
tags:
  - whisper
  - whispering
  - medium

Dataset Card for "whisper-transcripts-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

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.

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.