Improve dataset card: Add task categories, sample usage, HF paper link, and citation (#2)

- Improve dataset card: Add task categories, sample usage, HF paper link, and citation (ab8abc539a3c0eb0b0e1069aeefeef818e3c2300)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,8 +1,75 @@
 ---
 license: cc-by-nc-sa-4.0
+task_categories:
+- robotics
+- image-to-3d
+tags:
+- slam
+- lidar
+- 3d-reconstruction
+- nerf
+- 3d-gaussian-splatting
+- localization
+- sfm
+- mvs
+- multimodal
+- oxford
 ---
+
 We present the Oxford Spires Dataset, captured in and around well-known landmarks in Oxford using a custom-built multi-sensor perception unit as well as a millimetre-accurate map from a terrestrial LiDAR scanner (TLS). The perception unit includes three global shutter colour cameras, an automotive 3D LiDAR scanner, and an inertial sensor — all precisely calibrated.
-- [project page](https://dynamic.robots.ox.ac.uk/datasets/oxford-spires/)
+- [Project page](https://dynamic.robots.ox.ac.uk/datasets/oxford-spires/)
+- [Paper](https://huggingface.co/papers/2411.10546)
 - [Arxiv](https://arxiv.org/abs/2411.10546)
-- [video](https://youtu.be/AKZ-YrOob_4?si=rY94Gn96V2zfQBNH)
-- [code](https://github.com/ori-drs/oxford_spires_dataset)
+- [Video](https://youtu.be/AKZ-YrOob_4?si=rY94Gn96V2zfQBNH)
+- [Code](https://github.com/ori-drs/oxford_spires_dataset)
+
+### Sample Usage
+
+### Download the Dataset
+
+You can download the dataset from Hugging Face using the provided script. You can specify which folders to download by changing the `example_pattern`. Core sequences are also defined in the script.
+
+```bash
+python scripts/dataset_download.py
+```
+
+### Install Python Tools
+
+Install `oxspires_tools` to access Python utilities for using the dataset:
+
+```bash
+pip install .
+```
+
+To enable C++/Python bindings (requires PCL and Octomap):
+
+```bash
+BUILD_CPP=1 pip install .
+```
+
+Alternatively, use the provided Docker container:
+
+```bash
+docker compose -f .docker/oxspires/docker-compose.yml run --build oxspires_utils
+```
+
+### Generate Depth Images
+
+The following script downloads synchronised images and LiDAR data from a sequence on Hugging Face and generates depth images, LiDAR overlaid on camera images, and surface normal images:
+
+```bash
+python scripts/generate_depth.py
+```
+
+### Citation
+
+If you use The Oxford Spires Dataset in your research, please cite the following paper:
+
+```bibtex
+@article{tao2025spires,
+title={The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods},
+author={Tao, Yifu and Mu{\~n}oz-Ba{\~n}{\'o}n, Miguel {\'A}ngel and Zhang, Lintong and Wang, Jiahao and Fu, Lanke Frank Tarimo and Fallon, Maurice},
+journal={International Journal of Robotics Research}, 
+year={2025},
+}
+```