EmbodiedCity/EmbodiedNav-Bench

[KDD'26 Oral] How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace EmbodiedNav-Bench is a goal-oriented embodied navigation benchmark for evaluating spatial action in urban 3D airspace. The benchmark contains 5,037 high-quality navigation trajectories with natural-language navigation goals, initial drone poses, target positions, and ground-truth 3D trajectories. This Hugging Face repository… See the full description on the dataset page: https://huggingface.co/datasets/EmbodiedCity/EmbodiedNav-Bench.

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