Kaggle MusicCaps Datasets: Machine Learning Projects & Tutorials

Kaggle.com: Explore Kaggle's MusicCaps dataset containing 5.5k high-quality music captions written by musicians. Access valuable resources for machine learning, data science, and AI projects within the Kaggle community. Participate in competitions, access datasets, tutorials, and Kaggle Notebooks for Python, data visualization, and AI Mathematical Olympiad. Elevate your Kaggle rankings with innovative machine learning projects.

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Kaggle MusicCaps Datasets: Machine Learning Projects & Tutorials

Introduction

What is MusicCaps?

MusicCaps is a dataset of 5,521 music examples, each labeled with an English aspect list and a free text caption written by musicians. The captions describe how the music sounds, not the metadata like the artist name.

How can I use MusicCaps?

You can use MusicCaps for various music-related tasks, such as music information retrieval, music generation, and music recommendation. The dataset provides a rich source of text descriptions of music, which can be used to train models to understand the nuances of music.

Features of MusicCaps

MusicCaps has several features that make it a valuable resource for music-related research:

  • Aspect lists: Each music example is labeled with an aspect list, which is a list of descriptive words or phrases that characterize the music.

  • Free text captions: Each music example has a free text caption written by a musician, which provides a more detailed and subjective description of the music.

  • Diverse music styles: MusicCaps covers a wide range of music styles, including pop, rock, jazz, classical, and more.

  • High-quality audio: The audio clips are 10 seconds long and are taken from the AudioSet dataset.

Price

MusicCaps is available for free, and you can use it for research or commercial purposes.

How can I get started with MusicCaps?

To get started with MusicCaps, you can download the dataset from the Kaggle website. You can also explore the dataset using the Kaggle notebooks and tutorials.

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