---
license: mit
task_categories:
- question-answering
size_categories:
- 1K<n<10K
---

# ContPhy Dataset Repository

> ### ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
> Zhicheng Zheng*, Xin Yan*, Zhenfang Chen*, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, and Chuang Gan (* denotes equal contributions)  
>
> *ICML 2024*  
> Links | [Project Page](https://physical-reasoning-project.github.io/) | [Paper (Arxiv)](https://arxiv.org/abs/2402.06119) | [Codebase](https://github.com/zzcnewly/ContPhy-Gen) | [Cite ContPhy](#citation)


## Structure

### Mini Dataset

1. [contphy_mini.zip](https://huggingface.co/datasets/zzcnewly/ContPhy_Dataset/blob/main/contphy_mini.zip): 20 videos each scenario with annotations

### Full Dataset

1. [fluid_full.zip](https://huggingface.co/datasets/zzcnewly/ContPhy_Dataset/blob/main/fluid_full.zip): 500 videos + 1500 questions
2. [rope_full.zip](https://huggingface.co/datasets/zzcnewly/ContPhy_Dataset/blob/main/rope_full.zip): 500 videos + 2000 questions
3. [cloth_full.zip](https://huggingface.co/datasets/zzcnewly/ContPhy_Dataset/blob/main/cloth_full.zip): 500 videos + 1500 questions  
4. [ball_full.zip](https://huggingface.co/datasets/zzcnewly/ContPhy_Dataset/blob/main/ball_full.zip): 500 videos + 1500 questions


## Citation
Welcome to cite `ContPhy` if you find the paper, dataset, and implementations useful in your research :)
```bibtex
@inproceedings{zheng2024contphy,
  title={ContPhy: Continuum Physical Concept Learning and Reasoning from Videos},
  author={Zheng, Zhicheng and Yan, Xin and Chen, Zhenfang and Wang, Jingzhou and Lim, Qin Zhi Eddie and Tenenbaum, Joshua B and Gan, Chuang},
  booktitle={International Conference on Machine Learning},
  year={2024},
  organization={PMLR}
}
```