README.md

---
language:
- en
license: other
tags:
- text
- youtube
- comments
- music
- text-classification
annotations_creators:
- human-annotated
- machine-generated
language_creators:
- found
pretty_name: YouTube Music Comments (Original & Augmented)
task_categories:
- text-classification
task_ids:
- multi-class-classification
---

# YouTube Music Comments (Original & Augmented)

**Summary:** User comments from YouTube music videos labeled with one of 7 genres  
(`pop`, `Jazz`, `rock`, `electronic`, `R&B`, `Metal`, `Classical`). Two splits are provided:
`original` (human-labeled) and `augmented` (synthetic additions), both with columns:
- `text` (string)
- `label` (string)

## Load
```python
from datasets import load_dataset
ds = load_dataset("Iris314/Youtube_music_comments")
original  = ds["original"]
augmented = ds["augmented"]

@misc{youtube_music_comments_2025,
  title        = {YouTube Music Comments (Original & Augmented)},
  author       = {Iris314},
  year         = {2025},
  howpublished = {\url{https://huggingface.co/datasets/Iris314/Youtube_music_comments}}
}