Update README.md

README.md

@@ -63,18 +63,31 @@ Results compare algorithm performance across different problem sizes:
 
 ```python
 # Example of loading a dataset
-from load_dataset import load_vrp_dataset
-
-# Load a CVRP dataset with 50 customers, single depot configuration
-dataset = load_vrp_dataset('cvrp', 50, 'single_depot')
-
-# Run evaluation
-from vrp_bench.vrp_evaluation import VRPEvaluator
+from datasets import load_dataset
+ds = load_dataset("MBZUAI/svrp-bench", split="test")
+ds[0]
+```
 
-evaluator = VRPEvaluator()
-results = evaluator.evaluate_solver(solver_class=ACOSolver, 
-                                   solver_name="ACO",
-                                   sizes=[50, 100])
+### Sample
+```json
+{'appear_times': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+ 'demands': [0, 33, 52, 35, 85, 77, 68, 17, 61, 32, 23],
+ 'file_name': 'cvrp_10_multi_depot_multi_vehicule_capacities.npz',
+ 'instance_id': 0,
+ 'locations': [[523, 497],
+               [394, 344],
+               [536, 599],
+               [341, 412],
+               [734, 652],
+               [492, 569],
+               [491, 238],
+               [419, 787],
+               [688, 422],
+               [708, 490],
+               [431, 454]],
+ 'num_vehicles': 13,
+ 'subset_name': 'cvrp_10_multi_depot_multi_vehicule_capacities',
+ 'vehicle_capacities': [40.0]}
 ```
 
 ## 🔑 Features