Update README.md

README.md

@@ -48,11 +48,12 @@ This dataset aims to facilitate research in multimodal machine learning for onco
 ```python
 from datasets import load_dataset
 
-clinical_dataset = load_dataset("Lab-Rasool/TCGA", "clinical", split="train")
-pathology_report_dataset = load_dataset("Lab-Rasool/TCGA", "pathology_report", split="train")
-wsi_dataset = load_dataset("Lab-Rasool/TCGA", "wsi", split="train")
-molecular_dataset = load_dataset("Lab-Rasool/TCGA", "molecular", split="train")
-radiology_dataset = load_dataset("Lab-Rasool/TCGA", "radiology", split="train")
+clinical_dataset = load_dataset("Lab-Rasool/TCGA", "clinical", split="gatortron")
+pathology_report_dataset = load_dataset("Lab-Rasool/TCGA", "pathology_report", split="gatortron")
+wsi_dataset = load_dataset("Lab-Rasool/TCGA", "wsi", split="uni")
+molecular_dataset = load_dataset("Lab-Rasool/TCGA", "molecular", split="senmo")
+remedis_radiology_dataset = load_dataset("Lab-Rasool/TCGA", "radiology", split="remedis")
+radimagenet_radiology_dataset = load_dataset("Lab-Rasool/TCGA", "radiology", split="radimagenet")
 ```
 
 Example code for loading HF dataset into a PyTorch Dataloader.
@@ -80,8 +81,8 @@ class CustomDataset(Dataset):
 
 if __name__ == "__main__":
     
-    clinical_dataset = load_dataset("Lab-Rasool/TCGA", "clinical", split="train")
-    wsi_dataset = load_dataset("Lab-Rasool/TCGA", "wsi", split="train")
+    clinical_dataset = load_dataset("Lab-Rasool/TCGA", "clinical", split="gatortron")
+    wsi_dataset = load_dataset("Lab-Rasool/TCGA", "wsi", split="uni")
     
     for index, item in enumerate(clinical_dataset):
         print(np.frombuffer(item.get("embedding"), dtype=np.float32).reshape(item.get("embedding_shape")).shape)