MusicLM by Google

Paragraph 1: MusicCaps is a dataset of 5,521 music clips of 10 seconds each, labeled with an aspect list and a free-text caption written by musicians. An aspect list is a list of adjectives that describe how the music sounds and the free-text caption provides detailed information on the instruments used and the mood conveyed. The dataset comes from AudioSet and it includes metadata such as YT ID, start/end position in video, labels from AudioSet, author ID, balanced subset, and eval split. It is licensed under Creative Commons BY-SA 4.0 license.

Paragraph 2: The main purpose of MusicCaps is to enable description tasks for music. It can help researchers with tasks like emerging sound event detection or automatic audio tagging. Furthermore, it could also be used for automatic generation of captions or even creating an AI composer that can learn to create new musical pieces based on what it has learned about existing ones.

Paragraph 3: MusicCaps is an invaluable resource for anyone wanting to explore the potential of AI in music composition or audio description tasks. It provides valuable data points which allow us to better understand how composers perceive music and gives us insight into how we might use AI to aid our own creative process in making music more expressive or generate captions accurately describing its sound characteristics.