shi-labs/physical-ai-bench-generation
Physical AI Bench - Generation Paper | Code Dataset Description The PAI-Bench is a benchmark to measure the progress of world models quantitatively. The predict task contains a list of 1044 samples of text prompts, conditioning images, and qa pairs, covering Physical AI target domains including autonomous vehicle (AV) driving, robotics, industry (smart space), physics, human, and common sense. All the questions are binary questions, and the answer is either Yes or… See the full description on the dataset page: https://huggingface.co/datasets/shi-labs/physical-ai-bench-generation.
| Author / organization | shi-labs |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 21 September 2025 |
| Last updated at source | 10 December 2025 |
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- 17 Oct 2026 Description: Physical AI Bench - Generation Paper | Code Dataset Description The PAI-Bench is a benchmark to measure the progress of world models quantitatively. The predict task contains a list of 1044 samples of text prompts, conditioning images, and → Physical AI Bench - Generation Paper | Code Dataset Description The PAI-Bench is a benchmark to measure the progress of world models quantitatively. The predict task contains a list of 1044 samples of text prompts, conditioning images, and
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