diff --git a/egs/mls_english/ASR/local/display_manifest_statistics.py b/egs/mls_english/ASR/local/display_manifest_statistics.py
new file mode 100644
index 000000000..b128a08e0
--- /dev/null
+++ b/egs/mls_english/ASR/local/display_manifest_statistics.py
@@ -0,0 +1,58 @@
+#!/usr/bin/env python3
+# Copyright    2021  Xiaomi Corp.        (authors: Fangjun Kuang)
+#              2022  The University of Electro-Communications (author: Teo Wen Shen)  # noqa
+#
+# 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.
+
+import argparse
+from pathlib import Path
+
+from lhotse import CutSet, load_manifest
+
+ARGPARSE_DESCRIPTION = """
+This file displays duration statistics of utterances in a manifest.
+You can use the displayed value to choose minimum/maximum duration
+to remove short and long utterances during the training.
+
+See the function `remove_short_and_long_utt()` in
+pruned_transducer_stateless5/train.py for usage.
+"""
+
+
+def get_parser():
+    parser = argparse.ArgumentParser(
+        description=ARGPARSE_DESCRIPTION,
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+    )
+
+    parser.add_argument("--manifest-dir", type=Path, help="Path to cutset manifests")
+
+    return parser.parse_args()
+
+
+def main():
+    args = get_parser()
+
+    for part in ["dev", "test", "train"]:
+        path = args.manifest_dir / f"mls_eng_cuts_{part}.jsonl.gz"
+        cuts: CutSet = load_manifest(path)
+
+        print("\n---------------------------------\n")
+        print(path.name + ":")
+        cuts.describe()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/egs/mls_english/ASR/prepare.sh b/egs/mls_english/ASR/prepare.sh
index 9cfd314b2..fe16e367a 100755
--- a/egs/mls_english/ASR/prepare.sh
+++ b/egs/mls_english/ASR/prepare.sh
@@ -20,40 +20,40 @@ dl_dir=$PWD/download
 
 # All files generated by this script are saved in "data".
 mkdir -p data
-mkdir -p data/audio  # Add this line
+mkdir -p data/audio
 mkdir -p data/manifests
 mkdir -p data/lang
 
 log() {
-    local fname=${BASH_SOURCE[1]##*/}
-    echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
+	local fname=${BASH_SOURCE[1]##*/}
+	echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
 }
 
 log "Starting MLS English data preparation"
 
 if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
-  log "Stage 0: Download MLS English dataset"
-  # Check if huggingface_hub is installed
-  if ! python -c "import huggingface_hub" &> /dev/null; then
-    log "huggingface_hub Python library not found. Installing it now..."
-    # Using --break-system-packages for Debian/Ubuntu environments where pip install might fail without it
-    python -m pip install huggingface_hub || \
-    python -m pip install huggingface_hub --break-system-packages || { \
-        log "Failed to install huggingface_hub. Please install it manually: pip install huggingface_hub"; \
-        exit 1; \
-    }
-    log "huggingface_hub installed successfully."
-  fi
+	log "Stage 0: Download MLS English dataset"
+	# Check if huggingface_hub is installed
+	if ! python -c "import huggingface_hub" &> /dev/null; then
+		log "huggingface_hub Python library not found. Installing it now..."
+		# Using --break-system-packages for Debian/Ubuntu environments where pip install might fail without it
+		python -m pip install huggingface_hub || \
+			python -m pip install huggingface_hub --break-system-packages || { \
+			log "Failed to install huggingface_hub. Please install it manually: pip install huggingface_hub"; \
+			exit 1; \
+		}
+		log "huggingface_hub installed successfully."
+	fi
 
   # Check if the dataset already exists to avoid re-downloading
   if [ ! -d "$dl_dir/mls_english" ]; then
-    log "Dataset not found at $dl_dir/mls_english. Starting download..."
-    if ! python ./local/utils/download_mls_english.py --dl-dir "$dl_dir"; then
-      log "Failed to download MLS English dataset via download_mls_english.py"
-      exit 1
-    fi
+	  log "Dataset not found at $dl_dir/mls_english. Starting download..."
+	  if ! python ./local/utils/download_mls_english.py --dl-dir "$dl_dir"; then
+		  log "Failed to download MLS English dataset via download_mls_english.py"
+		  exit 1
+	  fi
   else
-    log "Dataset already exists at $dl_dir/mls_english. Skipping download."
+	  log "Dataset already exists at $dl_dir/mls_english. Skipping download."
   fi
 fi
 
@@ -69,45 +69,51 @@ fi
 # fi
 
 if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
-    log "Stage 1: Compute MLS English fbank"
-    if [ ! -e data/manifests/.mls_english-validated.done ]; then
-        python local/compute_fbank_mls_english.py \
-          --manifest-dir data/manifests \
-          --audio-dir data/audio \
-          --dl-dir $dl_dir/mls_english
-          # --dl-dir /root/datasets/parler-tts--mls_eng
-        python local/validate_manifest.py --manifest data/manifests/mls_eng_cuts_train.jsonl.gz
-        python local/validate_manifest.py --manifest data/manifests/mls_eng_cuts_dev.jsonl.gz
-        python local/validate_manifest.py --manifest data/manifests/mls_eng_cuts_test.jsonl.gz
-        touch data/manifests/.mls_english-validated.done
-    fi
+	log "Stage 1: Compute MLS English fbank"
+	if [ ! -e data/manifests/.mls_english-validated.done ]; then
+		python local/compute_fbank_mls_english.py \
+			--manifest-dir data/manifests \
+			--audio-dir data/audio \
+			--dl-dir $dl_dir/mls_english
+					# --dl-dir /root/datasets/parler-tts--mls_eng
+					python local/validate_manifest.py --manifest data/manifests/mls_eng_cuts_train.jsonl.gz
+					python local/validate_manifest.py --manifest data/manifests/mls_eng_cuts_dev.jsonl.gz
+					python local/validate_manifest.py --manifest data/manifests/mls_eng_cuts_test.jsonl.gz
+					touch data/manifests/.mls_english-validated.done
+	fi
 fi
 
 if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
-  log "Stage 2: Prepare transcript for BPE training"
-  if [ ! -f data/lang/transcript.txt ]; then
-    log "Generating transcripts for BPE training"
-    python local/utils/generate_transcript.py \
-      --dataset-path $dl_dir/mls_english \
-      --lang-dir data/lang \
-      --split train 
-  fi
+	log "Stage 2: Prepare transcript for BPE training"
+	if [ ! -f data/lang/transcript.txt ]; then
+		log "Generating transcripts for BPE training"
+		python local/utils/generate_transcript.py \
+			--dataset-path $dl_dir/mls_english \
+			--lang-dir data/lang \
+			--split train 
+	fi
 fi
 
 if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then
-  log "Stage 3: Prepare BPE tokenizer"
-  for vocab_size in ${vocab_sizes[@]}; do
-    log "Training BPE model with vocab_size=${vocab_size}"
-    bpe_dir=data/lang/bpe_${vocab_size}
-    mkdir -p $bpe_dir
+	log "Stage 3: Prepare BPE tokenizer"
+	for vocab_size in ${vocab_sizes[@]}; do
+		log "Training BPE model with vocab_size=${vocab_size}"
+		bpe_dir=data/lang/bpe_${vocab_size}
+		mkdir -p $bpe_dir
 
-    if [ ! -f $bpe_dir/bpe.model ]; then
-      python local/train_bpe_model.py \
-        --lang-dir $bpe_dir \
-        --vocab-size $vocab_size \
-        --transcript data/lang/transcript.txt
-    fi
-  done
+		if [ ! -f $bpe_dir/bpe.model ]; then
+			python local/train_bpe_model.py \
+				--lang-dir $bpe_dir \
+				--vocab-size $vocab_size \
+				--transcript data/lang/transcript.txt
+		fi
+	done
 fi
 
-log "MLS English data preparation completed successfully"
\ No newline at end of file
+if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
+	log "Stage 4: Show manifest statistics"
+	python local/display_manifest_statistics.py --manifest-dir data/manifests > data/manifests/manifest_statistics.txt
+	cat data/manifests/manifest_statistics.txt
+fi
+
+log "MLS English data preparation completed successfully"