diff --git a/python-package/xgboost/data.py b/python-package/xgboost/data.py
index 6d27585d9ab5..8df0c3576110 100644
--- a/python-package/xgboost/data.py
+++ b/python-package/xgboost/data.py
@@ -811,7 +811,8 @@ def _meta_from_cudf_df(data, field: str, handle: ctypes.c_void_p) -> None:
         raise ValueError("Expecting meta-info to contain a single column")
     if field == "label" and len(data.columns) > 2:
         raise ValueError("Invalid shape for label.")
-    data = data[data.columns[0]]
+    if field != "label":
+        data = data[data.columns[0]]
 
     interface = bytes(json.dumps([data.__cuda_array_interface__], indent=2), "utf-8")
     _check_call(_LIB.XGDMatrixSetInfoFromInterface(handle, c_str(field), interface))
diff --git a/python-package/xgboost/sklearn.py b/python-package/xgboost/sklearn.py
index 51db040e6f2c..f8f44a0ae0a0 100644
--- a/python-package/xgboost/sklearn.py
+++ b/python-package/xgboost/sklearn.py
@@ -1475,6 +1475,7 @@ def __init__(
     "Implementation of the scikit-learn API for XGBoost multi-output regression.",
     ['estimators', 'model', 'objective'])
 class XGBMultiOutputRegressor(XGBModel, XGBRegressorBase):
+    # pylint: disable=missing-docstring
     @_deprecate_positional_args
     def __init__(
         self, *, objective: _SklObjective = "reg:squarederror", **kwargs: Any