diff --git a/src/safeds/data/labeled/containers/_time_series_dataset.py b/src/safeds/data/labeled/containers/_time_series_dataset.py
index 80a4c2bbd..144a86c43 100644
--- a/src/safeds/data/labeled/containers/_time_series_dataset.py
+++ b/src/safeds/data/labeled/containers/_time_series_dataset.py
@@ -20,9 +20,10 @@
 
 class TimeSeriesDataset(Dataset[Table, Column]):
     """
-    A time series dataset maps feature and time columns to a target column.
+    A time series dataset maps feature to a target column. It can be used to train machine learning models.
+
+    Data can be segmented into windows when loading it into the models.
 
-    Unlike a TabularDataset, a TimeSeries needs to contain one target and one time column, but can have empty features.
 
     Parameters
     ----------
@@ -37,6 +38,8 @@ class TimeSeriesDataset(Dataset[Table, Column]):
         the target column are used as features.
     forecast_horizon:
         The number of time steps to predict into the future.
+    continuous
+        Whether or not to continue the forecast in the steps before forecast horizon.
 
     Raises
     ------
@@ -183,7 +186,7 @@ def continuous(self) -> bool:
     @property
     def extras(self) -> Table:
         """
-        Additional columns of the time series dataset that are neither features, target nor time.
+        Additional columns of the time series dataset that are neither features nor target.
 
         These can be used to store additional information about instances, such as IDs.
         """
@@ -195,14 +198,14 @@ def extras(self) -> Table:
 
     def to_table(self) -> Table:
         """
-        Return a new `Table` containing the feature columns, the target column, the time column and the extra columns.
+        Return a new `Table` containing the feature columns, the target column and the extra columns.
 
         The original `TimeSeriesDataset` is not modified.
 
         Returns
         -------
         table:
-            A table containing the feature columns, the target column, the time column and the extra columns.
+            A table containing the feature columns, the target column and the extra columns.
         """
         return self._table
 
diff --git a/src/safeds/data/tabular/plotting/_table_plotter.py b/src/safeds/data/tabular/plotting/_table_plotter.py
index a5feae02d..4d6a253c2 100644
--- a/src/safeds/data/tabular/plotting/_table_plotter.py
+++ b/src/safeds/data/tabular/plotting/_table_plotter.py
@@ -504,6 +504,8 @@ def moving_average_plot(
             The name of the column to be plotted on the x-axis.
         y_name:
             The name of the column to be plotted on the y-axis.
+        window_size:
+            The size of the moving average window
         theme:
             The color theme of the plot. Default is "light".