diff --git a/mmengine/evaluator/evaluator.py b/mmengine/evaluator/evaluator.py
index 34bb02e5..2531be92 100644
--- a/mmengine/evaluator/evaluator.py
+++ b/mmengine/evaluator/evaluator.py
@@ -29,10 +29,12 @@ class Evaluator:
 
     @property
     def dataset_meta(self) -> Optional[dict]:
+        """Optional[dict]: Meta info of the dataset."""
         return self._dataset_meta
 
     @dataset_meta.setter
     def dataset_meta(self, dataset_meta: dict) -> None:
+        """Set the dataset meta info to the evaluator and it's metrics."""
         self._dataset_meta = dataset_meta
         for metric in self.metrics:
             metric.dataset_meta = dataset_meta
diff --git a/mmengine/evaluator/metric.py b/mmengine/evaluator/metric.py
index 4bcf163b..7d8fa736 100644
--- a/mmengine/evaluator/metric.py
+++ b/mmengine/evaluator/metric.py
@@ -43,10 +43,12 @@ class BaseMetric(metaclass=ABCMeta):
 
     @property
     def dataset_meta(self) -> Optional[dict]:
+        """Optional[dict]: Meta info of the dataset."""
         return self._dataset_meta
 
     @dataset_meta.setter
     def dataset_meta(self, dataset_meta: dict) -> None:
+        """Set the dataset meta info to the metric."""
         self._dataset_meta = dataset_meta
 
     @abstractmethod
diff --git a/mmengine/optim/scheduler/param_scheduler.py b/mmengine/optim/scheduler/param_scheduler.py
index f40507e5..b8b7f260 100644
--- a/mmengine/optim/scheduler/param_scheduler.py
+++ b/mmengine/optim/scheduler/param_scheduler.py
@@ -256,6 +256,7 @@ class StepParamScheduler(_ParamScheduler):
             verbose=verbose)
 
     def _get_value(self):
+        """Compute value using chainable form of the scheduler."""
         if (self.last_step == 0) or (self.last_step % self.step_size != 0):
             return [
                 group[self.param_name] for group in self.optimizer.param_groups
@@ -312,6 +313,7 @@ class MultiStepParamScheduler(_ParamScheduler):
             verbose=verbose)
 
     def _get_value(self):
+        """Compute value using chainable form of the scheduler."""
         if self.last_step not in self.milestones:
             return [
                 group[self.param_name] for group in self.optimizer.param_groups
@@ -371,6 +373,7 @@ class ConstantParamScheduler(_ParamScheduler):
             verbose=verbose)
 
     def _get_value(self):
+        """Compute value using chainable form of the scheduler."""
         if self.last_step == 0:
             return [
                 group[self.param_name] * self.factor
@@ -429,6 +432,7 @@ class ExponentialParamScheduler(_ParamScheduler):
             verbose=verbose)
 
     def _get_value(self):
+        """Compute value using chainable form of the scheduler."""
         if self.last_step == 0:
             return [
                 group[self.param_name] for group in self.optimizer.param_groups
@@ -509,6 +513,7 @@ class CosineAnnealingParamScheduler(_ParamScheduler):
             verbose=verbose)
 
     def _get_value(self):
+        """Compute value using chainable form of the scheduler."""
         if self.last_step == 0:
             return [
                 group[self.param_name] for group in self.optimizer.param_groups
@@ -585,7 +590,7 @@ class LinearParamScheduler(_ParamScheduler):
             verbose=verbose)
 
     def _get_value(self):
-
+        """Compute value using chainable form of the scheduler."""
         if self.last_step == 0:
             return [
                 group[self.param_name] * self.start_factor
@@ -651,7 +656,7 @@ class PolyParamScheduler(_ParamScheduler):
             verbose=verbose)
 
     def _get_value(self):
-
+        """Compute value using chainable form of the scheduler."""
         if self.last_step == 0:
             return [
                 group[self.param_name] for group in self.optimizer.param_groups