Update README.md

README.md

@@ -2,25 +2,41 @@
 license: apache-2.0
 ---
 
-# Kubric Dataset from CoTracker 3
+# Kubric Dataset for CoTracker 3
 
+## Overview
+This dataset was specifically created for training CoTracker 3, a state-of-the-art point tracking model. The dataset was generated using the Kubric engine.
 
 
-## Dataset Details
+## Dataset Specifications
+- **Size**: ~6,000 sequences
+- **Resolution**: 512×512 pixels
+- **Sequence Length**: 120 frames per sequence
+- **Camera Movement**: Carefully rendered with subtle camera motion to simulate realistic scenarios
+- **Format**: Generated using Kubric engine
 
+## Usage
+The dataset can be parsed using the official CoTracker implementation. For detailed parsing instructions, refer to:
+- [CoTracker Dataset Parser](https://github.com/facebookresearch/co-tracker/blob/main/cotracker/datasets/kubric_movif_dataset.py)
+- [Kubric Engine Repository](https://github.com/google-research/kubric)
 
-## Citation [optional]
 
 
 
+## Citation
+
+If you use this dataset in your research, please cite the following papers:
+
+```bibtex
 @inproceedings{karaev24cotracker3,
   title     = {CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos},
   author    = {Nikita Karaev and Iurii Makarov and Jianyuan Wang and Natalia Neverova and Andrea Vedaldi and Christian Rupprecht},  
   booktitle = {Proc. {arXiv:2410.11831}},
   year      = {2024}
 }
+```
 
-
+```bibtex
 @article{greff2021kubric,
     title = {Kubric: a scalable dataset generator}, 
     author = {Klaus Greff and Francois Belletti and Lucas Beyer and Carl Doersch and
@@ -34,6 +50,7 @@ license: apache-2.0
     booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2022},
 }
+```