|
|
--- |
|
|
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}} |
|
|
} |
|
|
|
