Kaggle

0.00

MusicLM provides 5,521 detailed 10-second music clips with captions for music analysis and education.

Visit website

What is Kaggle?

MusicLM by Google MusicCaps is a specialized dataset containing 5,521 music clips, each with a duration of 10 seconds. The dataset includes detailed free-text captions and aspect lists describing the sound of the music, sourced from the AudioSet dataset. MusicLM is licensed under a Creative Commons BY-SA 4.0 license and is labeled with metadata such as YT ID, start and end positions in the video, and author ID. It stands out for providing high-quality music captions suitable for music description tasks and enhancing user experience on digital music platforms. The dataset is distinct from generic tools due to its focus on in-depth music analysis and educational purposes, making it useful for music interpretation and analytics.

Who created Kaggle?

Musiclm by Google was created by D. Sculley, who is the CEO at Kaggle and was previously a director at Google Brain. The platform was launched on June 17, 2024. Kaggle, where Musiclm was developed, is a hub for machine learning and artificial intelligence research and collaboration, with a diverse team including developers, designers, data scientists, and product managers.

What is Kaggle used for?

Music education
Music description tasks
Digital music platforms
AI in music
Music analytics
Artificial perception
Music experience enhancement
Music interpretation
AI innovation

Who is Kaggle for?

Music educators
Digital music platform developers
AI in music professionals
Music analysts
AI innovators

How to use Kaggle?

To use MusicLM By Google MusicCaps effectively, follow these steps:

Understanding the Dataset: MusicLM contains 5,521 clips, each lasting 10 seconds, sourced from AudioSet. It is categorized by aspects and labeled with free-text captions by musicians.
Aspect List vs. Free-text Caption: Differentiate between the aspect list (adjectives describing sound) and free-text caption (detailed music description) in the dataset.
License and Metadata: Know that the dataset is licensed under Creative Commons BY-SA 4.0, labeled with various metadata including YT ID, and split into evaluation and training sets.
Usage and Applications: Utilize MusicLM for music description tasks, such as music captioning and interpretation, enhancing user experience on digital music platforms, music analytics, AI applications, and music education.
Uniqueness: Recognize that MusicLM stands out due to its ability to provide contextually accurate and informative music descriptions beyond generic statements.
Ease of Use: Benefit from its user-friendly interface designed for ease of navigation and simplicity in generating accurate music descriptions.
Educational and Analytical Value: Utilize MusicLM for educational purposes, enhancing music analytics, and gaining in-depth music analysis.
User Experience Enhancement: Enhance user experience on digital music platforms by offering detailed music descriptions that provide a preview of the music before listening.
Presence and Reputation: MusicLM on Kaggle is known for providing high-quality music captions written by musicians, enhancing its credibility and reliability.

By following these steps, users can effectively leverage MusicLM By Google MusicCaps for various music-related tasks and applications.

Pros

Large dataset size
Categorized by aspects
Detailed free-text captions
Sourced from AudioSet
Eval and train split
Creative Commons BY-SA 4.0 license
Labelled with metadata
YouTube video link feature
Instruments and mood details
Written by musicians
Suitable for music description tasks
High-quality music captions
Provides contextual descriptions
In-depth music analysis
Educational purposes

Cons

Limited dataset size
Only 10-second music clips
Reliance on YouTube metadata
Requires Creative Commons licensing
Potential bias towards author's perspective
Fixed aspect list criteria
No real-time captioning
Lack of multi-language support
Description dependent on musicians' input

Pros

Cons

Large dataset size
Categorized by aspects
Detailed free-text captions
Sourced from AudioSet
Eval and train split
Creative Commons BY-SA 4.0 license
Labelled with metadata
YouTube video link feature
Instruments and mood details
Written by musicians
Suitable for music description tasks
High-quality music captions
Provides contextual descriptions
In-depth music analysis
Educational purposes

Limited dataset size
Only 10-second music clips
Reliance on YouTube metadata
Requires Creative Commons licensing
Potential bias towards author's perspective
Fixed aspect list criteria
No real-time captioning
Lack of multi-language support
Description dependent on musicians' input

Kaggle FAQs

What is MusicLM by Google MusicCaps?: MusicLM by Google MusicCaps is a specialized dataset composed of music clips, each labeled with an aspect list and a free-text caption prepared by musicians.

How many clips does the MusicLM by Google MusicCaps contain?: The MusicLM by Google MusicCaps contains 5,521 clips.

What is the duration of each clip in the MusicLM dataset?: Each clip in the MusicLM dataset has a duration of 10 seconds.

What is an aspect list in the context of MusicLM?: In the context of MusicLM, an aspect list is a collection of adjectives that depict how the music sounds.

Where is the MusicLM database sourced from?: The MusicLM database is sourced from the AudioSet dataset.

What license is the MusicLM database licensed under?: The MusicLM database is licensed under a Creative Commons BY-SA 4.0 license.

How can MusicLM be used in music education?: MusicLM can be used in music education to provide a deeper understanding of music, offering detailed descriptions of music pieces.