Datasets:

AneeqMalik
/

test_audio_clips

Modalities:

Formats:

Size:

Libraries:

Dataset Viewer

Split (1)

train · 6 rows

audio audioduration (s) 17.9 29.8	audio_names stringclasses 6 values	class_label class label 4 classes
	ai_other_artists_song_1.wav	2good
	ai_other_artists_song_10.wav	1okay
	ai_other_artists_song_11.wav	0bad
	ai_other_artists_song_12.wav	3great
	ai_other_artists_song_13.wav	2good
	ai_other_artists_song_14.wav	1okay

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