Update README.md

README.md

@@ -57,17 +57,17 @@ To use the image data, you **must** request access and agree to the data use agr
 Below is a demo script to load and link the knowledge graph with your local image data:
 
 ```python
-from datasets import load_dataset
+from huggingface_hub import hf_hub_download
 import pandas as pd
 
-# Load the Hugging Face dataset
-dataset = load_dataset("xcwangpsu/MedMKG")
+kg_path = hf_hub_download(repo_id="xcwangpsu/MedMKG", filename="MedMKG.csv", repo_type="dataset")
+mapping_path = hf_hub_download(repo_id="xcwangpsu/MedMKG", filename="image_mapping.csv", repo_type="dataset")
 
-# Convert to Pandas DataFrames
-kg_df = pd.read_csv(dataset["data_files"]["MedMKG.csv"])
-mapping_df = pd.read_csv(dataset["data_files"]["image_mapping.csv"])
+# Load CSVs
+kg_df = pd.read_csv(kg_path)
+mapping_df = pd.read_csv(mapping_path)
 
-# Your local MIMIC-CXR image directory (user-provided)
+# Local path to downloaded MIMIC-CXR images
 local_root = "/path/to/your/mimic-cxr-jpg"
 
 # Map image IDs to full paths
@@ -76,9 +76,9 @@ iid_to_path = {
     for _, row in mapping_df.iterrows()
 }
 
-# Add resolved paths
+# Merge image path info into KG
 kg_df["Head_Path"] = kg_df["Head"].map(iid_to_path)
 kg_df["Tail_Path"] = kg_df["Tail"].map(iid_to_path)
 
-print("Example with image paths:")
 print(kg_df.head())
+