Update README.md

README.md

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 # Oxford Spires Dataset
 This repository contains scripts that are used to evaluate localisation, 3D reconstruction and radiance field methods using the [Oxford Spires Dataset](https://dynamic.robots.ox.ac.uk/datasets/oxford-spires/). 
 
-This is a pre-release of the software. The codebase will be refactored in the near future.
+This is a pre-release of the software. The codebase will be refactored in the near future. Please feel free to ask questions about the dataset and report bugs in the Github Issues.
 
 ## Localisation Benchmark
 The localisation benchmark runs LiDAR SLAM methods ([Fast-LIO-SLAM](https://github.com/gisbi-kim/FAST_LIO_SLAM), [SC-LIO-SAM](https://github.com/gisbi-kim/SC-LIO-SAM), [ImMesh](https://github.com/ori-drs/ImMesh_hesai)) and LiDAR Bundle Adjustment method ([HBA](https://github.com/hku-mars/HBA)). The resultant trajectory are evaluated against the ground truth trajectory using [evo](https://github.com/MichaelGrupp/evo).
@@ -43,4 +43,4 @@ We use [Ruff](https://github.com/astral-sh/ruff) as the formatter and linter for
 ```bash
 $ pip install pre-commit
 $ pre-commit install
-```
+```