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---
license: mit
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: 569762157
num_examples: 336224
download_size: 240667679
dataset_size: 569762157
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- audio-to-audio
- audio-classification
- text-to-audio
tags:
- music
- audio
- art
size_categories:
- 100K<n<1M
---
📺 **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](https://huggingface.co./datasets/PleIAs/YouTube-Commons) project. |