Update README.md

The dataset containes invasive coronary angiograms for the coronary dominance classification task, an essential aspect in assessing the severity of coronary artery disease.
The dataset holds 1,574 studies, including X-ray multi-view videos from two different interventional angiography systems.
Each study has the following tags: bad quality, artifact, high uncertainty, and occlusion. Those tags help to classify dominance classification more accurately and allow to utilize the dataset for uncertainty estimation and outlier detection.


README.md

@@ -22,4 +22,7 @@ tags:
 pretty_name: coronary_dominamnce
 size_categories:
 - 10B<n<100B
----
+---
+The dataset containes invasive coronary angiograms for the coronary dominance classification task, an essential aspect in assessing the severity of coronary artery disease.
+The dataset holds 1,574 studies, including X-ray multi-view videos from two different interventional angiography systems.
+Each study has the following tags: bad quality, artifact, high uncertainty, and occlusion. Those tags help to classify dominance classification more accurately and allow to utilize the dataset for uncertainty estimation and outlier detection.