Update README.md

README.md

@@ -101,7 +101,7 @@ TAMPAR is a novel real-world dataset of parcels
 - 6 different tampering types, and
 - 6 different distortion strengths
 
-This dataset was collected as part of the WACV '24 [paper](https://arxiv.org/abs/2311.03124) _"TAMPAR: Visual Tampering Detection for Parcels Logistics in Postal Supply Chains"
+This dataset was collected as part of the WACV '24 [paper](https://arxiv.org/abs/2311.03124) _"TAMPAR: Visual Tampering Detection for Parcels Logistics in Postal Supply Chains"_
 
   
 - **Curated by:** Alexander Naumann, Felix Hertlein, Laura Dörr and Kai Furmans
@@ -109,7 +109,7 @@ This dataset was collected as part of the WACV '24 [paper](https://arxiv.org/abs
 - **Shared by:** [Harpreet Sahota](https://huggingface.co/harpreetsahota), Hacker-in-Residence at Voxel51
 - **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/legalcode)
 
-### Dataset Sources [optional]
+### Dataset Sources
 
 - **Repository:** https://github.com/a-nau/tampar
 - **Paper:** https://arxiv.org/abs/2311.03124
@@ -125,7 +125,7 @@ Multisensory setups within logistics facilities and a simple cell phone camera d
 
 COCO Format Annotations
 
-## Citation [optional]
+## Citation
 
 ```bibtex
 @inproceedings{naumannTAMPAR2024,