Update README.md

README.md

@@ -300,7 +300,31 @@ task_categories:
 
 JSONSchemaBench is a benchmark of **real-world JSON schemas** designed to evaluate **structured output generation** for Large Language Models (LLMs). It contains approximately **10,000 JSON schemas**, capturing diverse constraints and complexities.
 
-## 📢 Important Update (March 10th, 2025)
+
+```python
+import datasets
+from datasets import load_dataset
+
+def main():
+    # Inspect the available subsets of the dataset
+    all_subsets = datasets.get_dataset_config_names("epfl-dlab/JSONSchemaBench")
+    print("Available subsets:", all_subsets)
+    # Example output: ['Github_easy', 'Github_hard', 'Github_medium', 'Github_trivial', 'Github_ultra', 'Glaiveai2K', 'JsonSchemaStore', 'Kubernetes', 'Snowplow', 'WashingtonPost', 'default']
+
+    # Access a specific subset of the dataset
+    subset_name = "Github_easy"
+    github_easy = load_dataset("epfl-dlab/JSONSchemaBench", subset_name)
+    print(f"Loaded subset '{subset_name}':", github_easy)
+
+    # Load the entire dataset as a whole
+    entire_dataset = load_dataset("epfl-dlab/JSONSchemaBench", "default")
+    print("Loaded entire dataset:", entire_dataset)
+
+if __name__ == "__main__":
+    main()
+```
+
+## ⚠️ Important Update (March 10th, 2025)
 
 We have restructured the dataset to include train/val/test splits. If you downloaded the dataset before this date, you might encounter errors like `KeyError: 'Github_easy'`.