Update README.md

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+
+# Dynamic Objects Dataset
+
+This dataset is proposed by [NVFi](https://github.com/vLAR-group/NVFi), and used by [FreeGave](https://github.com/vLAR-group/FreeGave) and [TRACE](https://github.com/vLAR-group/TRACE).
+
+## Structure
+The structure of the dataset is as:
+```
+DynObjects
+| - data
+| | - fallingball
+| | | - train: serves as training data
+| | | - val: used for evaluating novel view interpolation
+| | | - test: used for evaluating future extrapolation
+| | | - transforms_train.json: camera poses and other meta informations for training set
+| | | - transforms_val.json: camera poses and other meta informations for novel view interpolation task
+| | | - transforms_test.json: camera poses and other meta informations for future extrapolation task
+| | - bat
+| | - telescope
+| | - fan
+| | - whale
+| | - shark
+```
+
+## Citation
+If you find this dataset helpful, please consider citing:
+```bibtex
+@article{li2023nvfi,
+  title={NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos}, 
+  author={Jinxi Li and Ziyang Song and Bo Yang},
+  year={2023},
+  journal={NeurIPS}
+}
+```