diff --git a/examples/dpo_humanlike/dpo.yaml b/examples/dpo_humanlike/dpo.yaml
index 0a0864b8ef..ec7b4334a5 100644
--- a/examples/dpo_humanlike/dpo.yaml
+++ b/examples/dpo_humanlike/dpo.yaml
@@ -23,6 +23,7 @@ buffer:
     experience_buffer:
       name: dpo_buffer
       storage_type: file
+      enable_progress_bar: True
       path: /PATH/TO/DATASET/
       format:
         prompt_type: plaintext # plaintext/messages/chatpair
diff --git a/tests/tools.py b/tests/tools.py
index a9b2ca8349..60df1122f2 100644
--- a/tests/tools.py
+++ b/tests/tools.py
@@ -48,6 +48,7 @@ def get_unittest_dataset_config(
             name=dataset_name,
             path=os.path.join(os.path.dirname(__file__), "template", "data", "countdown"),
             split=split,
+            enable_progress_bar=False,
             format=FormatConfig(
                 prompt_key="question",
                 response_key="answer",
diff --git a/trinity/buffer/reader/file_reader.py b/trinity/buffer/reader/file_reader.py
index bc49b871d3..fa5904203d 100644
--- a/trinity/buffer/reader/file_reader.py
+++ b/trinity/buffer/reader/file_reader.py
@@ -5,7 +5,6 @@
 import datasets
 import transformers
 from datasets import Dataset, load_dataset
-from ray.experimental.tqdm_ray import tqdm
 
 from trinity.algorithm.algorithm import DPOAlgorithm, SFTAlgorithm
 from trinity.buffer.buffer_reader import BufferReader
@@ -19,6 +18,17 @@
 FILE_READERS = Registry("file_readers")
 
 
+class DummyProgressBar:
+    def __init__(self):
+        pass
+
+    def update(self, num: int):
+        pass
+
+    def close(self):
+        pass
+
+
 class _HFBatchReader:
     def __init__(
         self,
@@ -29,6 +39,7 @@ def __init__(
         offset: int = 0,
         drop_last: bool = True,
         total_steps: Optional[int] = None,
+        enable_progress_bar: Optional[bool] = True,
     ):
         self.dataset = dataset
         self.dataset_size = len(dataset)
@@ -47,10 +58,17 @@ def __init__(
             self.total_samples = default_batch_size * total_steps
         else:
             self.total_samples = self.dataset_size * total_epochs
-        self.progress_bar = tqdm(
-            total=self.total_samples,
-            desc=f"Dataset [{self.name}] Progressing",
-        )
+
+        if enable_progress_bar:
+            from ray.experimental.tqdm_ray import tqdm
+
+            self.progress_bar = tqdm(
+                total=self.total_samples,
+                desc=f"Dataset [{self.name}] Progressing",
+            )
+        else:
+            self.progress_bar = DummyProgressBar()
+
         self.progress_bar.update(self.current_offset)
 
     def read_batch(self, batch_size: int) -> List:
@@ -99,6 +117,7 @@ def __init__(self, meta: StorageConfig, config: BufferConfig):
             total_epochs=meta.total_epochs,
             drop_last=True,
             total_steps=meta.total_steps,
+            enable_progress_bar=meta.enable_progress_bar,
         )
         self.tokenizer = transformers.AutoTokenizer.from_pretrained(config.tokenizer_path)
 
@@ -180,6 +199,7 @@ def __init__(self, meta: StorageConfig, config: BufferConfig):
             total_epochs=meta.total_epochs,
             drop_last=True,
             total_steps=meta.total_steps,
+            enable_progress_bar=meta.enable_progress_bar,
         )  # TODO: support resume
         self.tokenizer = transformers.AutoTokenizer.from_pretrained(config.tokenizer_path)
 
@@ -259,6 +279,7 @@ def __init__(self, meta: StorageConfig, config: BufferConfig):
             offset=self.meta.index,
             drop_last=self.meta.task_type == TaskType.EXPLORE,
             total_steps=meta.total_steps,
+            enable_progress_bar=meta.enable_progress_bar,
         )
         self.prompt_key = meta.format.prompt_key
         self.response_key = meta.format.response_key
diff --git a/trinity/common/config.py b/trinity/common/config.py
index 1e0bcc5e9d..506fe2c147 100644
--- a/trinity/common/config.py
+++ b/trinity/common/config.py
@@ -101,6 +101,9 @@ class StorageConfig:
     workflow_args: dict = field(default_factory=dict)
     reward_fn_args: dict = field(default_factory=dict)
 
+    # enable progress bar (tqdm) for _HFBatchReader
+    enable_progress_bar: Optional[bool] = True
+
     # get storage from existing experiment
     ray_namespace: Optional[str] = None