Datasets:

sadece
/

sayha

dataset_info:
  features:
    - name: id
      dtype: string
    - name: audio
      dtype: audio
    - name: transcription
      dtype: string
    - name: spectrogram
      dtype: image
    - name: mfcc
      sequence:
        sequence: float64
    - name: tokens
      sequence: string
    - name: token_ids
      sequence: int64
  splits:
    - name: train
      num_bytes: 56024142
      num_examples: 188
  download_size: 48514880
  dataset_size: 56024142
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
language:
  - tr
pretty_name: ' '

Sayha

YouTube Video Audio and Subtitles Extraction

Sayha is a tool designed to download YouTube videos and extract their audio and subtitle data. This can be particularly useful for creating datasets for machine learning projects, transcription services, or language studies.

Features

Download YouTube videos.
Extract audio tracks from videos.
Retrieve and process subtitle files.
Prepare datasets for various applications.

Installation

Clone the Repository:

git clone https://github.com/zinderud/Sayha.git
cd Sayha

pip install -r requirements.txt


Usage

Download Videos:

Use the provided scripts to download YouTube videos. For example:


python [script.py](http://script.py/)

Extract Audio and Subtitles:

After downloading, run the processing scripts to extract audio and subtitles:

python colab_processor.py

Upload to Hugging Face:

If you wish to share your dataset, you can upload it to Hugging Face:

python upload_to_huggingface.py


Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.
License

This project is licensed under the MIT License.