| | --- |
| | dataset_info: |
| | features: |
| | - name: audio |
| | dtype: audio |
| | - name: audio_names |
| | dtype: string |
| | - name: class_label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': bad |
| | '1': okay |
| | '2': good |
| | '3': great |
| | splits: |
| | - name: train |
| | num_bytes: 12388426.0 |
| | num_examples: 6 |
| | download_size: 12391305 |
| | dataset_size: 12388426.0 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | --- |
| | Follow these steps to set up and upload your audio dataset to Hugging Face: |
| |
|
| | * **Create a Virtual Environment** |
| | - Start by creating a virtual environment on your machine. Run the following commands: |
| | # On Windows |
| | ``` |
| | python -m venv env |
| | ./env/Scripts/activate |
| | ``` |
| | # On macOS/Linux |
| | ``` |
| | source env/bin/activate |
| | pip install -r requirements.txt |
| | ``` |
| | |
| | * **Generate a Hugging Face Token** |
| | - To interact with Hugging Face and push datasets, you'll need a Hugging Face access token. Follow these steps to generate one: |
| | - Go to [Hugging Face Settings](https://huggingface.co/settings/tokens). |
| | - Click on "New Token." |
| | - Give the token a name and select the Role as "Write." |
| | - Copy the generated token. |
| |
|
| | * **Configure Your Token** |
| | - Run the following command, replacing `'YOUR_TOKEN_HERE'` with the token you obtained from Hugging Face: |
| | ```bash |
| | python -c "from huggingface_hub.hf_api import HfFolder; HfFolder.save_token('YOUR_TOKEN_HERE')" |
| | ``` |
| | This command will configure your environment with your Hugging Face token. |
| | |
| | * **Modify `main.py`** |
| | - In the `main.py` file, make the following changes: |
| | - Replace `'Enter-Your-hub-name'` with the name of your dataset. For example, use `'AneeqMalik/test_audio_clips'`. |
| | ```python |
| | audio_dataset.push_to_hub("Enter-Your-hub-name") |
| | ``` |
| | This line specifies where your dataset will be pushed on Hugging Face. |
| | |
| | * **Run the Code** |
| | - To push your audio dataset to Hugging Face, execute the following command: |
| | ```bash |
| | python main.py |
| | ``` |
| | Your audio dataset will be uploaded to Hugging Face under the specified name. |
| | |