diff --git a/egs/libriheavy/ASR/local/prepare_validation_sets.py b/egs/libriheavy/ASR/local/prepare_validation_sets.py
new file mode 100755
index 000000000..23dd4bbff
--- /dev/null
+++ b/egs/libriheavy/ASR/local/prepare_validation_sets.py
@@ -0,0 +1,77 @@
+#!/usr/bin/env python3
+# Copyright    2023  Xiaomi Corp.        (authors: Xiaoyu Yang)
+#
+# See ../../../../LICENSE for clarification regarding multiple authors
+#
+# 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.
+
+
+"""
+This file computes fbank features of the LibriSpeech dataset.
+It looks for manifests in the directory data/manifests.
+
+The generated fbank features are saved in data/fbank.
+"""
+
+import argparse
+import logging
+import os
+from pathlib import Path
+from typing import Optional
+
+from lhotse import load_manifest_lazy
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "--manifest", type=str, help="The original manifest coming from"
+    )
+
+    return parser.parse_args()
+
+
+def main(args):
+
+    logging.info(f"Loading manifest {args.manifest}")
+    cuts = load_manifest_lazy(args.manifest)
+
+    all_test_sets = [
+        "dev",
+        "test-clean",
+        "test-other",
+    ]
+
+    for test_set in all_test_sets:
+        logging.info(f"Processing test set: {test_set}")
+        with open(f"data/manifests/{test_set}.txt", "r") as f:
+            books = f.read().split("\n")
+
+        # find the cuts belonging to the given books
+        selected_cuts = cuts.filter(lambda c: c.text_path.split("/")[-2] in books)
+        selected_cuts.describe()
+
+        out_name = f"data/manifests/libriheavy_cuts_{test_set}.jsonl.gz"
+        logging.info(f"Saving the cuts contained in the book list to {out_name}")
+        selected_cuts.to_file(out_name)
+
+
+if __name__ == "__main__":
+    formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
+
+    logging.basicConfig(format=formatter, level=logging.INFO)
+    args = get_args()
+    logging.info(vars(args))
+
+    main(args)