README.md

---
license: apache-2.0
tags:
- video-world-model
- video-prediction
- physical-ai
---

# Learning How the World Evolves: Extrapolative Video World Models via Latent Dynamics Reasoning

[![Page](https://img.shields.io/badge/Project-Page-pink?logo=googlechrome&logoColor=white)](https://lat-dyn-reason.github.io/)
[![Paper](https://img.shields.io/badge/arXiv-Paper-b31b1b?logo=arxiv&logoColor=white)](http://arxiv.org/abs/xxx)
[![GitHub](https://img.shields.io/github/stars/Lat-Dyn-Reason/Lat-Dyn-Reason?style=default&label=GitHub%20★&logo=github)](https://github.com/Lat-Dyn-Reason/Lat-Dyn-Reason)
[![Data](https://img.shields.io/badge/%F0%9F%A4%97%20HF-Data-yellow)](https://huggingface.co/datasets/haodongli/LDR)
[![Model](https://img.shields.io/badge/%F0%9F%A4%97%20HF-Model-yellow)](https://huggingface.co/haodongli/LDR)

Please visit our [Github Repo](https://github.com/Lat-Dyn-Reason/Lat-Dyn-Reason) for how to use these datasets.

## Structure

ID: in-distribution, OOD: out-of-distribution.

```
LDR/
├── train/                  # training clips (ID only)
│   ├── uniform.hdf5        # 30K clips
│   ├── parabola.hdf5       # 30K
│   ├── collision.hdf5      # 30K
│   ├── looming.hdf5        # 30K
│   ├── bouncing.hdf5       # 30K
│   └── joint_5task.hdf5    # 150K, the five single-task training sets concatenated
├── eval/                   # evaluation clips (ID + OOD)
│   ├── uniform.hdf5
│   ├── parabola.hdf5
│   ├── collision.hdf5
│   ├── looming.hdf5
│   ├── bouncing.hdf5
│   └── joint_5task.hdf5    # the five single-task eval sets concatenated
└── splits/                 # ID/OOD index lists
    ├── uniform.json
    ├── parabola.json
    ├── collision.json
    ├── looming.json
    ├── bouncing.json
    └── joint_5task.json    # the five single-task splits concatenated
```

## BibTeX

```
@article{xxx,
    title={xxx},
    author={xxx},
    journal={xxx},
    year={xxx}
}
```