Nove1yst/immersed-privacy
ImmersedPrivacy A multimodal evaluation benchmark for assessing privacy awareness in Multimodal Large Language Models (MLLMs) operating as embodied AI agents. Dataset Structure Configs Config Scenes Modalities Description tier1_1item – tier1_20item 50 each Images Object-level privacy detection with varying distractor counts tier2 42 Images + Audio State-aware action selection in privacy-sensitive scenarios tier3 56 Images + Audio +… See the full description on the dataset page: https://huggingface.co/datasets/Nove1yst/immersed-privacy.
| Author / organization | Nove1yst |
|---|---|
| License (as declared) | gpl-3.0 |
| Downloads | 296 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 13 May 2026 |
| Last updated at source | 13 May 2026 |
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- 16 Oct 2026 Description: ImmersedPrivacy A multimodal evaluation benchmark for assessing privacy awareness in Multimodal Large Language Models (MLLMs) operating as embodied AI agents. Dataset Structure Configs Config Scenes Modalities Description tier1_1item – tier → ImmersedPrivacy A multimodal evaluation benchmark for assessing privacy awareness in Multimodal Large Language Models (MLLMs) operating as embodied AI agents. Dataset Structure Configs Config Scenes Modalities Description tier1_1item – tier
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