README.md

---
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 316,000 music tracks shared on YouTube.
If you want the version of this dataset including prompt, see https://huggingface.co/datasets/WaveGenAI/youtube-cc-by-music_annoted.

### **Content**
The dataset includes descriptions, tags, and other metadata associated with 316,000 music videos uploaded to YouTube under the CC-BY license. 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:**
- **316,000 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.

### **Acknowledgements**
The dataset description was inspired by the [YouTube-Commons](https://huggingface.co/datasets/PleIAs/YouTube-Commons) project.