Update README.md

README.md

@@ -6,4 +6,24 @@ language:
 - en
 tags:
 - medical
----
+---
+
+This dataset is based on the BraTS2023 dataset. 
+It takes 5 middle slices from each nifti volume of the BraTS2023 dataset after normalizing to a value of (-1,1). 
+All of these images are `.npy` files and one can load them using the `np.load(FILEPATH).astype(np.float32)`. 
+We provide the training and the test set which contains 6255 and 1095 files respectively. 
+
+It is highly recommend to create a separate validation set from the training dataset for applications. 
+We use `Pytorch` to do this. We do this by using the following command.
+
+```python
+seed = 97
+train_dataset, val_dataset = torch.utils.data.random_split(
+  dataset, lengths=(0.9, 0.1), generator=torch.Generator().manual_seed(seed)
+) # dataset is the dataset instance.
+```
+
+This dataset is actually part of a paper which is under peer-review currently. 
+It is mainly used for multi-domain medical image to image translation.
+
+We hope this helps the community.