Datasets:
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1f0efb3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ## Dataset Description
StaticEmbodiedBench is a dataset for evaluating vision-language models on embodied intelligence tasks, as featured in the OpenCompass leaderboard
(https://staging.opencompass.org.cn/embodied-intelligence/rank/brain).
It covers three key capabilities:
- **Macro Planning**: Decomposing a complex task into a sequence of simpler subtasks.
- **Micro Perception**: Performing concrete simple tasks such as spatial understanding and fine-grained perception.
- **Stage-wise Reasoning**: Deciding the next action based on the agent’s current state and perceptual inputs.
Each sample is also labeled with a visual perspective:
- **First-Person View**: The visual sensor is integrated with the agent, e.g., mounted on the end-effector.
- **Third-Person View**: The visual sensor is separate from the agent, e.g., top-down or observer view.
This release includes **200 open-source samples** from the full dataset, provided for public research and benchmarking purposes.
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license: mit
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