diff --git a/parakeet/utils/h5_utils.py b/parakeet/utils/h5_utils.py
new file mode 100644
index 0000000..229fe8d
--- /dev/null
+++ b/parakeet/utils/h5_utils.py
@@ -0,0 +1,104 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from pathlib import Path
+from typing import Union, Any
+import sys
+import logging
+import h5py
+import numpy as np
+
+
+def read_hdf5(filename: Union[Path, str], dataset_name: str) -> Any:
+    """Read a dataset from a HDF5 file.
+
+    Parameters
+    ----------
+    filename : Union[Path, str]
+        Path of the HDF5 file.
+    dataset_name : str
+        Name of the dataset to read.
+
+    Returns
+    -------
+    Any
+        The retrieved dataset.
+    """
+    filename = Path(filename)
+
+    if not filename.exists():
+        logging.error(f"There is no such a hdf5 file ({filename}).")
+        sys.exit(1)
+
+    hdf5_file = h5py.File(filename, "r")
+
+    if dataset_name not in hdf5_file:
+        logging.error(
+            f"There is no such a data in hdf5 file. ({dataset_name})")
+        sys.exit(1)
+
+    hdf5_data = hdf5_file[dataset_name][()]  # a special syntax of h5py
+    hdf5_file.close()
+
+    return hdf5_data
+
+
+def write_hdf5(filename: Union[Path, str],
+               dataset_name: str,
+               write_data: np.ndarrays,
+               is_overwrite: bool=True) -> None:
+    """Write dataset to HDF5 file.
+
+    Parameters
+    ----------
+    filename : Union[Path, str]
+        Path of the HDF5 file.
+    dataset_name : str
+        Name of the dataset to write to.
+    write_data : np.ndarrays
+        The data to write.
+    is_overwrite : bool, optional
+        Whether to overwrite, by default True
+    """
+    # convert to numpy array
+    filename = Path(filename)
+    write_data = np.array(write_data)
+
+    # check folder existence
+    filename.parent.mkdir(parents=True, exist_ok=True)
+
+    # check hdf5 existence
+    if filename.exists():
+        # if already exists, open with r+ mode
+        hdf5_file = h5py.File(filename, "r+")
+        # check dataset existence
+        if dataset_name in hdf5_file:
+            if is_overwrite:
+                logging.warning("Dataset in hdf5 file already exists. "
+                                "recreate dataset in hdf5.")
+                hdf5_file.__delitem__(dataset_name)
+            else:
+                logging.error(
+                    "Dataset in hdf5 file already exists. "
+                    "if you want to overwrite, please set is_overwrite = True.")
+                hdf5_file.close()
+                sys.exit(1)
+    else:
+        # if not exists, open with w mode
+        hdf5_file = h5py.File(filename, "w")
+
+    # write data to hdf5
+    hdf5_file.create_dataset(dataset_name, data=write_data)
+    hdf5_file.flush()
+    hdf5_file.close()