diff --git a/egs/libriheavy/ASR/zipformer_prompt_asr/asr_datamodule.py b/egs/libriheavy/ASR/zipformer_prompt_asr/asr_datamodule.py
index 7a2a61a30..690003377 100644
--- a/egs/libriheavy/ASR/zipformer_prompt_asr/asr_datamodule.py
+++ b/egs/libriheavy/ASR/zipformer_prompt_asr/asr_datamodule.py
@@ -25,14 +25,13 @@ from typing import Any, Callable, Dict, List, Optional
 import torch
 from dataset import PromptASRDataset
 from lhotse import CutSet, Fbank, FbankConfig, load_manifest, load_manifest_lazy
-from lhotse.dataset import (
+from lhotse.dataset import (  # SingleCutSampler,
     CutConcatenate,
     CutMix,
     DynamicBucketingSampler,
     ExtraPadding,
     K2SpeechRecognitionDataset,
     PrecomputedFeatures,
-    SingleCutSampler,
     SpecAugment,
 )
 from lhotse.dataset.input_strategies import OnTheFlyFeatures
@@ -211,7 +210,7 @@ class LibriHeavyAsrDataModule:
         )
 
         group.add_argument(
-            "--topk-k",
+            "--top-k",
             type=int,
             default=10000,
             help="""The top-k words are identified as common words,
@@ -261,7 +260,7 @@ class LibriHeavyAsrDataModule:
             logging.info("About to get Musan cuts")
             cuts_musan = load_manifest(self.args.manifest_dir / "musan_cuts.jsonl.gz")
             transforms.append(
-                CutMix(cuts=cuts_musan, prob=0.5, snr=(10, 20), preserve_id=True)
+                CutMix(cuts=cuts_musan, p=0.5, snr=(10, 20), preserve_id=True)
             )
         else:
             logging.info("Disable MUSAN")
@@ -345,11 +344,8 @@ class LibriHeavyAsrDataModule:
                 drop_last=True,
             )
         else:
-            logging.info("Using SingleCutSampler.")
-            train_sampler = SingleCutSampler(
-                cuts_train,
-                max_duration=self.args.max_duration,
-                shuffle=self.args.shuffle,
+            raise NotImplementedError(
+                "SingleCutSampler is no longer supported by lhotse"
             )
         logging.info("About to create train dataloader")
 
diff --git a/egs/libriheavy/ASR/zipformer_prompt_asr/dataset.py b/egs/libriheavy/ASR/zipformer_prompt_asr/dataset.py
index 9602e9270..fa508ba58 100644
--- a/egs/libriheavy/ASR/zipformer_prompt_asr/dataset.py
+++ b/egs/libriheavy/ASR/zipformer_prompt_asr/dataset.py
@@ -205,7 +205,7 @@ def triplet_text_sampling(
     rare_word_list: Optional[List[str]] = None,
     transforms: Optional[List[Callable[[str], str]]] = None,
     min_len_style: Optional[int] = 80,
-) -> Dict[str, str, str]:
+) -> Dict[str, str]:
     """This function generates a triplet of
     (pre_text, style_text, ref_text). The style of style_text and ref_text
     should **always** match, whereas the style of pre_text is arbitrary.