Update README.md

README.md

@@ -11,14 +11,14 @@ license: cc-by-4.0
 > *VoDaSuRe: A Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolution*
 
 The dataset consists of **32 volumetric scans of 16 samples**, each acquired under varying imaging conditions, enabling research on generalization, robustness, and cross-domain learning in 3D super-resolution.
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 ## 🔗 Resources
 
 * **Project page**: https://augusthoeg.github.io/VoDaSuRe/
 * **Paper (arXiv)**: https://arxiv.org/abs/2603.23153
 * **Code & pipelines**: https://github.com/AugustHoeg/VoxelSR
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 ## Dataset Structure
 
@@ -31,8 +31,8 @@ VoDaSuRe/
     └── test/
 ```
 
-Each split contains volumetric data stored in OME-Zarr format, a hierarchical and chunked format that enables efficient, lazy loading of large-scale volumetric data.
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+Each split contains volumetric data stored in **OME-Zarr** format, a hierarchical and chunked format that enables efficient, lazy loading of large-scale volumetric data.
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 ## Data Format (OME-Zarr)
 
@@ -62,7 +62,6 @@ ome.zarr
 * **HR**: High-resolution reference volumes
 * **LR**: Low-resolution volumes (unregistered)
 * **REG**: Registered and intensity-matched low-resolution volumes
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 ## Dataset Size
 
@@ -70,7 +69,6 @@ ome.zarr
 * **Disk requirement after extraction**: ~500 GB
 
 ⚠️ Ensure sufficient disk space before downloading.
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 ## Download Instructions
 
@@ -95,7 +93,6 @@ snapshot_download(
 git lfs install
 git clone https://huggingface.co/datasets/AugustHoeg/VoDaSuRe
 ```
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 ## Data Usage
 
@@ -112,7 +109,6 @@ After extraction, the dataset can be accessed using libraries supporting OME-Zar
 * `zarr`
 * `ome-zarr-py`
 * `dask`
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 ## Intended Use
 
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 * Volumetric super-resolution (3D SR)
 * Domain generalization and domain shift analysis
 * Benchmarking learning-based SR methods under realistic acquisition scenarios
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 ## Dataset Creation
 
 The dataset was created using **laboratory CT (Lab-CT) imaging systems**, capturing paired high- and low-resolution volumetric scans under varying acquisition conditions.
 
 Further details are available in the associated paper and project page.
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 ## Citation
 
@@ -143,7 +137,6 @@ If you use this dataset, please cite our paper:
   url={https://augusthoeg.github.io/VoDaSuRe/}
 }
 ```
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 ## Contact