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Dataset ยท Hugging Face

zwq2018/embodied_reasoner

Embodied-Reasoner Dataset Dataset Overview 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 ๐Ÿ“ธ Rich Visual Data: Contains 64,000 first-person perspective interaction images ๐Ÿค” Deep Reasoning Capabilities: 8โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/zwq2018/embodied_reasoner.

Author / organizationzwq2018
Downloads1.6K (as reported by Hugging Face)
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Created19 March 2025
Last updated at source21 April 2025
ReasoningLong CoTMultimodal ReasoningEmbodiedRobotAI2-THOR
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  • 17 Oct 2026 Description: Embodied-Reasoner Dataset Dataset Overview 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 โ†’ Embodied-Reasoner Dataset Dataset Overview 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

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