--- 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.