Embodied-Reasoner is a multimodal reasoning dataset designed for embodied interactive tasks. It contains 9,390 Observation-Thought-Action trajectories for training and evaluating multimodal models capable of performing complex embodied tasks in indoor environments.
Key Features
📸 Rich Visual Data: Contains 64,000 first-person perspective interaction images🤔 Deep Reasoning Capabilities: 8 million thought… See the full description on the dataset page: https://huggingface.co/datasets/zwq2018/embodied_reasoner.
