Store labels in ClassLabel class

cora.py

@@ -52,7 +52,7 @@ class CoraDataset(datasets.GeneratorBasedBuilder):
     """
     This dataset is the MNIST equivalent in graph learning and we explore it somewhat explicitly here in function of other articles using again and again this dataset as a testbed."""
 
-    VERSION = datasets.Version("1.0.0")
+    VERSION = datasets.Version("1.0.1")
 
     # This is an example of a dataset with multiple configurations.
     # If you don't want/need to define several sub-sets in your dataset,
@@ -84,7 +84,15 @@ class CoraDataset(datasets.GeneratorBasedBuilder):
                 for i in range(1433)
             }
             features_dict["node"] = datasets.Value("string")
-            features_dict["label"] = datasets.Value("string")
+            features_dict["label"] = datasets.ClassLabel(names=[
+                "Case_Based",
+                "Genetic_Algorithms",
+                "Neural_Networks",
+                "Probabilistic_Methods",
+                "Reinforcement_Learning",
+                "Rule_Learning",
+                "Theory"
+            ])
             features_dict["neighbors"] = datasets.Sequence(
                 datasets.Value("string")
             )