# Kinder-worldmodel Dataset

This repository contains the processed HDF5 dataset and demo videos for the Kinder-worldmodel project.

## Files

- `sweep_tracked_pointcloud_all.hdf5`  
  The processed HDF5 file containing complete point cloud data and point tracking information.

- `videos/complete_pointcloud_demo.mp4`  
  Demo video showing the complete point cloud visualization.

- `videos/pointcloud_tracking_demo.mp4`  
  Demo video showing point tracking across frames.

## Dataset Description

The HDF5 file stores point cloud data generated from the processing pipeline.  
It is intended for inspecting complete point clouds and demonstrating point tracking results.

## How to Download

You can download the dataset directly from this Hugging Face repository.

You can also download it using Python:

```python
from huggingface_hub import hf_hub_download

file_path = hf_hub_download(
    repo_id="Flashkernel/Kinder-worldmodel",
    filename="sweep_tracked_pointcloud_all.hdf5",
    repo_type="dataset"
)

print(file_path)