Update README.md

README.md

@@ -85,9 +85,29 @@ For tasks lacking open benchmarks, we include high-quality synthetic instances a
 To use this dataset, clone the repository and select the task of interest. Each `config.py` file documents the format and how to parse or evaluate the instances.
 
 ```bash
-git clone https://huggingface.co/datasets/<your-username>/FrontierCO
+git clone https://huggingface.co/datasets/CO-Bench/FrontierCO
 cd FrontierCO/CFLP
-python config.py  # example: parse instances or evaluate solver
+```
+
+Load a data instance
+```python
+from config import load_data
+instance = load_data('easy_test_instances/i1000_1.plc')
+print(instance)
+```
+
+Generate a solution
+```python
+# Your solution generation code goes here.
+# For example:
+solution = my_solver(instance)
+```
+
+### Evaluate a solution
+```python
+from config import eval_func
+score = eval_func(**instance, **solution)
+print("Evaluation score:", score)
 ```
 
 ---