diff --git a/gklearn/dataset/dataset.py b/gklearn/dataset/dataset.py
index 75684c2..595826c 100644
--- a/gklearn/dataset/dataset.py
+++ b/gklearn/dataset/dataset.py
@@ -40,6 +40,7 @@ class Dataset(object):
 		self._edge_attr_dim = None
 		self._class_number = None
 		self._ds_name = None
+		self._task_type = None
 
 		if inputs is None:
 			self._graphs = None
@@ -117,11 +118,16 @@ class Dataset(object):
 				ds_file = [os.path.join(path, fn) for fn in load_files[0]]
 			fn_targets = os.path.join(path, load_files[1]) if len(load_files) == 2 else None
 
+		# Get extra_params.
 		if 'extra_params' in DATASET_META[ds_name]:
 			kwargs = DATASET_META[ds_name]['extra_params']
 		else:
 			kwargs = {}
 
+		# Get the task type that is associated with the dataset. If it is classification, get the number of classes.
+		self._get_task_type(ds_name)
+
+
 		self._graphs, self._targets, label_names = DataLoader(ds_file, filename_targets=fn_targets, **kwargs).data
 
 		self._node_labels = label_names['node_labels']
@@ -276,7 +282,8 @@ class Dataset(object):
 				'edge_attr_dim',
 				'class_number',
 				'all_degree_entropy',
-				'ave_degree_entropy'
+				'ave_degree_entropy',
+				'class_type'
 			]
 
 		# dataset size
@@ -408,7 +415,7 @@ class Dataset(object):
 
 		if 'class_number' in keys:
 			if self._class_number is None:
-				self._class_number = self._get_class_number()
+				self._class_number = self._get_class_num()
 			infos['class_number'] = self._class_number
 
 		if 'node_attr_dim' in keys:
@@ -437,6 +444,11 @@ class Dataset(object):
 				base = None
 			infos['ave_degree_entropy'] = np.mean(self._compute_all_degree_entropy(base=base))
 
+		if 'task_type' in keys:
+			if self._task_type is None:
+				self._task_type = self._get_task_type()
+			infos['task_type'] = self._task_type
+
 		return infos
 
 
@@ -790,6 +802,13 @@ class Dataset(object):
 		return degree_entropy
 
 
+	def _get_task_type(self, ds_name):
+		if 'task_type' in DATASET_META[ds_name]:
+			self._task_type = DATASET_META[ds_name]['task_type']
+		if self._task_type == 'classification' and self._class_number is None and 'class_number' in DATASET_META[ds_name]:
+				self._class_number = DATASET_META[ds_name]['class_number']
+
+
 	@property
 	def graphs(self):
 		return self._graphs