shi-labs/physical-ai-bench-conditional-generation
Physical AI Bench - Conditional Generation Paper | Code This dataset (Phsical AI benchmark, PAI-Bench) consisting of 600 examples across three key scenarios: robotic arm operations, driving, and ego-centric everyday life scenes, each representing a critical aspect of Physical AI. This dataset is constructed by sampling a number of videos from three different datasets. The specific details are provided below. Dataset Category Sample Nums Agibot World Robotics 200… See the full description on the dataset page: https://huggingface.co/datasets/shi-labs/physical-ai-bench-conditional-generation.
| Author / organization | shi-labs |
|---|---|
| License (as declared) | mit |
| Downloads | 1.1K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 22 September 2025 |
| Last updated at source | 10 December 2025 |
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- 17 Oct 2026 Description: Physical AI Bench - Conditional Generation Paper | Code This dataset (Phsical AI benchmark, PAI-Bench) consisting of 600 examples across three key scenarios: robotic arm operations, driving, and ego-centric everyday life scenes, each repres → Physical AI Bench - Conditional Generation Paper | Code This dataset (Phsical AI benchmark, PAI-Bench) consisting of 600 examples across three key scenarios: robotic arm operations, driving, and ego-centric everyday life scenes, each repres
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