diff --git a/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py b/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py
index b7b0d888b78..2b6922ab092 100644
--- a/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py
+++ b/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py
@@ -229,7 +229,25 @@ def from_map(cls, func, iterable, *args, **kwargs):
         return cls.query_compiler_cls(cls.frame_cls(partitions))
 
 
-def deploy_map_func(func, obj, *args, **kwargs):
+def deploy_map_func(func, obj, *args, **kwargs):  # pragma: no cover
+    """
+    Deploy a func to apply to an object.
+
+    Parameters
+    ----------
+    func : callable
+        Function to map across the iterable object.
+    obj : object
+        An object to apply a function to.
+    *args : tuple
+        Positional arguments to pass in `func`.
+    **kwargs : dict
+        Keyword arguments to pass in `func`.
+
+    Returns
+    -------
+    pandas.DataFrame
+    """
     result = func(obj, *args, **kwargs)
     if not isinstance(result, pandas.DataFrame):
         result = pandas.DataFrame(result)
diff --git a/modin/core/execution/dispatching/factories/factories.py b/modin/core/execution/dispatching/factories/factories.py
index 98c11b7be8e..aa94688e3df 100644
--- a/modin/core/execution/dispatching/factories/factories.py
+++ b/modin/core/execution/dispatching/factories/factories.py
@@ -222,10 +222,15 @@ def _from_dask(cls, dask_obj):
         return cls.io_cls.from_dask(dask_obj)
 
     @classmethod
-    @doc(
-        _doc_io_method_template,
-        source="a map function",
-        params="""
+    def _from_map(cls, func, iterable, *args, **kwargs):
+        """
+        Create a Modin `query_compiler` from a map function.
+
+        This method will construct a Modin `query_compiler` split by row partitions.
+        The number of row partitions matches the number of elements in the iterable object.
+
+        Parameters
+        ----------
         func : callable
             Function to map across the iterable object.
         iterable : Iterable
@@ -234,10 +239,12 @@ def _from_dask(cls, dask_obj):
             Positional arguments to pass in `func`.
         **kwargs : dict
             Keyword arguments to pass in `func`.
-        """,
-        method="from_map",
-    )
-    def _from_map(cls, func, iterable, *args, **kwargs):
+
+        Returns
+        -------
+        BaseQueryCompiler
+            QueryCompiler containing data returned by map function.
+        """
         return cls.io_cls.from_map(func, iterable, *args, **kwargs)
 
     @classmethod
diff --git a/modin/core/execution/ray/implementations/pandas_on_ray/io/io.py b/modin/core/execution/ray/implementations/pandas_on_ray/io/io.py
index 34cb574b0fa..24b9e0823fa 100644
--- a/modin/core/execution/ray/implementations/pandas_on_ray/io/io.py
+++ b/modin/core/execution/ray/implementations/pandas_on_ray/io/io.py
@@ -345,7 +345,25 @@ def from_map(cls, func, iterable, *args, **kwargs):
 
 
 @ray.remote
-def deploy_map_func(func, obj, *args, **kwargs):
+def deploy_map_func(func, obj, *args, **kwargs):  # pragma: no cover
+    """
+    Deploy a func to apply to an object.
+
+    Parameters
+    ----------
+    func : callable
+        Function to map across the iterable object.
+    obj : object
+        An object to apply a function to.
+    *args : tuple
+        Positional arguments to pass in `func`.
+    **kwargs : dict
+        Keyword arguments to pass in `func`.
+
+    Returns
+    -------
+    pandas.DataFrame
+    """
     result = func(obj, *args, **kwargs)
     if not isinstance(result, pandas.DataFrame):
         result = pandas.DataFrame(result)
diff --git a/modin/core/execution/unidist/implementations/pandas_on_unidist/io/io.py b/modin/core/execution/unidist/implementations/pandas_on_unidist/io/io.py
index 98783a2f1e2..9d870c8ed78 100644
--- a/modin/core/execution/unidist/implementations/pandas_on_unidist/io/io.py
+++ b/modin/core/execution/unidist/implementations/pandas_on_unidist/io/io.py
@@ -300,7 +300,25 @@ def from_map(cls, func, iterable, *args, **kwargs):
 
 
 @unidist.remote
-def deploy_map_func(func, obj, *args, **kwargs):
+def deploy_map_func(func, obj, *args, **kwargs):  # pragma: no cover
+    """
+    Deploy a func to apply to an object.
+
+    Parameters
+    ----------
+    func : callable
+        Function to map across the iterable object.
+    obj : object
+        An object to apply a function to.
+    *args : tuple
+        Positional arguments to pass in `func`.
+    **kwargs : dict
+        Keyword arguments to pass in `func`.
+
+    Returns
+    -------
+    pandas.DataFrame
+    """
     result = func(obj, *args, **kwargs)
     if not isinstance(result, pandas.DataFrame):
         result = pandas.DataFrame(result)