license: mit
size_categories:
- 100K<n<1M
task_categories:
- audio-to-audio
- audio-classification
- text-to-audio
dataset_info:
features:
- name: url
dtype: string
- name: title
dtype: string
- name: author
dtype: string
- name: description
dtype: string
- name: genre
dtype: float64
- name: album
dtype: float64
- name: tags
dtype: string
splits:
- name: train
num_bytes: 544489321
num_examples: 315523
download_size: 231674441
dataset_size: 544489321
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- music
- audio
- art
📺 YouTube-CC-BY-Music 📺
YouTube-CC-BY-Music is a comprehensive collection of metadata for 336,000 music tracks shared on YouTube/WebArchive.
Content
The dataset includes descriptions, tags, and other metadata associated with 336,000 music videos uploaded to YouTube and Web Archive under the CC-BY license (except for Web Archive). These videos come from a diverse range of artists and genres, providing a rich resource for various music-related tasks in artificial intelligence and machine learning.
Key Features:
- 336,000 music tracks with accompanying metadata
- Detailed metadata including descriptions, tags, channel names, video titles, and upload dates
This dataset is ideal for training and evaluating models for:
- Music generation
- Music tagging and classification
- Audio-to-text generation (e.g., automatic description of music)
License and Ethics
All metadata in this dataset is sourced from YouTube videos shared under the CC-BY license. As per the license requirements, all contributions are fully credited, ensuring proper attribution to the content creators. For Web Archive content, you need to check the license of the work.
Acknowledgements
The dataset description was inspired by the YouTube-Commons project.