| --- |
| 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: |
|
|
| ```sh |
| 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. |
