Update README.md

README.md

@@ -13,6 +13,10 @@ pretty_name: CAMELYON16MIL
 
 This repository provides an adapted version of the [CAMELYON16 dataset](https://camelyon17.grand-challenge.org/Data/) tailored for **Multiple Instance Learning (MIL)**. It is designed for use with the [`CAMELYON16Dataset`](https://franblueee.github.io/torchmil/api/datasets/camelyon16mil_dataset/) class from the [**torchmil** library](https://franblueee.github.io/torchmil/). CAMELYON16 is a widely used benchmark in MIL research, making this adaptation particularly valuable for developing and evaluating MIL models.
 
+### About the Original CAMELYON16 Dataset
+
+The original [CAMELYON16 dataset](https://camelyon17.grand-challenge.org/Data/) contains WSIs of hematoxylin and eosin (H&E) stained lymph node sections. The task is to identify whether each slide contains metastatic tissue and to localize it precisely. The dataset includes high-quality pixel-level annotations marking the metastases.
+
 ### Dataset Description
 
 We have preprocessed the whole-slide images (WSIs) by extracting relevant patches and computing features for each patch using various feature extractors.
@@ -51,6 +55,3 @@ root
 
 Each `.npy` file corresponds to a single WSI. The `splits.csv` file defines train/test splits for standardized experimentation.
 
-### About the Original CAMELYON16 Dataset
-
-The original [CAMELYON16 dataset](https://camelyon17.grand-challenge.org/Data/) contains WSIs of hematoxylin and eosin (H&E) stained lymph node sections. The task is to identify whether each slide contains metastatic tissue and to localize it precisely. The dataset includes high-quality pixel-level annotations marking the metastases.