Datasets:

AneeqMalik
/

test_audio_clips

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
      num_examples: 6
  download_size: 12391305
  dataset_size: 12388426
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.
  - 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:
```
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'.
```
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:
```
python main.py
```
Your audio dataset will be uploaded to Hugging Face under the specified name.

On Windows

On macOS/Linux