datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MM-SafetyBench-plus-plus
MM-SafetyBench++
Project Page | Paper | Code
MM-SafetyBench++ is a benchmark designed for evaluating contextual safety in Multi-Modal Large Language Models (MLLMs). It challenges models to distinguish subtle contextual differences between scenarios that may appear visually or textually similar but diverge significantly in safety intent.
Dataset Summary
For each unsafe image-text pair, the benchmark includes a corresponding safe counterpart created through minimal… See the full description on the dataset page: https://huggingface.co/datasets/EchoSafe-MLLM/MM-SafetyBench-plus-plus.tabiji-travel-safety-guides
Tabiji Travel & Safety Guides
AI-curated travel data from tabiji.ai: destination profiles, day-by-day itineraries, head-to-head comparisons, safety profiles, country-level travel advisories, and city-level scam guides — sourced from Reddit, government advisories (US State Dept., UK FCDO), and editorial curation.
What's in here
Config
Records
Description
destinations
6,498
Global destination catalog: climate, currency, language, plug type, tap-water safety… See the full description on the dataset page: https://huggingface.co/datasets/tabiji/tabiji-travel-safety-guides.