onullusoy/harmful-contents
Harmful-Contents Dataset A multi-label image dataset for harmful-content classification across eight PEGI-aligned categories.The dataset consists of 5,153 rights-cleared images, split into train/validation/test sets and annotated with both binary labels and mask fields for controlled negative sampling. Dataset Structure Harmful-Contents/ csv/ train.csv val.csv test.csv data/ train/*.jpg val/*.jpg test/*.jpg Each CSV contains: name… See the full description on the dataset page: https://huggingface.co/datasets/onullusoy/harmful-contents.
| Author / organization | onullusoy |
|---|---|
| License (as declared) | other |
| Downloads | 753 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 12 February 2026 |
| Last updated at source | 13 February 2026 |
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753 now (+17 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: Harmful-Contents Dataset A multi-label image dataset for harmful-content classification across eight PEGI-aligned categories.The dataset consists of 5,153 rights-cleared images, split into train/validation/test sets and annotated with both → Harmful-Contents Dataset A multi-label image dataset for harmful-content classification across eight PEGI-aligned categories.The dataset consists of 5,153 rights-cleared images, split into train/validation/test sets and annotated with both
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