Update README.md

README.md

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 🌐 [website](https://sites.google.com/usc.edu/distributional-miplib)
 
 Introducing Distributional MIPLIB (D-MIPLIB), the first comprehensive standardized dataset for evaluating ML-guided Mixed Integer Linear Programming (MILP) solving. Details of D-MIPLIB can be found on our [website](https://sites.google.com/usc.edu/distributional-miplib).
+
+### Loading MILP instances
+
+MILP instances in this library are stored as text strings. You can download the MILP as *.lp files and solve the MILP by
+```python
+from datasets import load_dataset
+import gurobipy as gp
+
+dataset = load_dataset("weiminhu/D-MIPLIB","CA-easy", split='test')
+test_instance = dataset[0]['MILP']
+ins_save_path = "./test_instance.lp"
+with open(ins_save_path, "w") as file:
+    tmp=test_instance[2:-1]
+    tmp=tmp.replace("\\n","\n")
+    file.write(tmp)
+model=gp.read(ins_save_path) 
+model.optimize()
+```