Introducing new audio and vision documentation in 🤗 Datasets

1. 1Explore the updated Quickstart guide to learn about loading and processing audio and image datasets
2. 2Use the `to_tf_dataset` function to convert datasets into a `tf.data.Dataset` for seamless integration with TensorFlow
3. 3Check out the dedicated guides for working with specific dataset types, such as ImageFolder

Data scientists and machine learning engineers can benefit from this update, as it simplifies the process of loading and processing audio and image datasets, allowing them to focus on model development and training

💡 The updated documentation and tools in Hugging Face's Datasets library make it easier to work with audio and image datasets, enabling developers to build more accurate and robust models

🤗 New audio & vision docs in @huggingface Datasets! 🎵📸 Simplify working with multimedia datasets & focus on model dev