Nebulixlabs/FullSafety
FullSafety FullSafety is a multilingual text-classification dataset created by Nebulixlabs for AI safety, content moderation, prompt-safety research, and related NLP experiments. Dataset Summary FullSafety is designed for training and evaluating lightweight text-classification models that distinguish between safe and unsafe text. Dataset information Dataset name: FullSafety Organization: Nebulixlabs Task: Text Classification Primary modality: Text… See the full description on the dataset page: https://huggingface.co/datasets/Nebulixlabs/FullSafety.
| Author / organization | Nebulixlabs |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 136 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 2 October 2026 |
| Last updated at source | 5 October 2026 |
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