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