Audio datasets are collections of audio recordings that are used for various purposes, such as training machine learning models or conducting research. These datasets can include different types of sounds, such as speech, music, or environmental noises, and are often labeled to help identify specific features or categories within the audio. Researchers and developers use audio datasets to improve technologies like speech recognition, music recommendation systems, and sound classification. By analyzing these datasets, they can create algorithms that better understand and process audio, leading to advancements in fields like artificial intelligence and natural language processing.