diff --git a/FlagEmbedding/evaluation/beir/evaluator.py b/FlagEmbedding/evaluation/beir/evaluator.py
index b960ba3..9d4fdd4 100644
--- a/FlagEmbedding/evaluation/beir/evaluator.py
+++ b/FlagEmbedding/evaluation/beir/evaluator.py
@@ -87,7 +87,8 @@ class BEIREvaluator(AbsEvaluator):
         if sub_dataset_names is None:
             if dataset_name is not None:
                 save_name = f"{dataset_name}-" + "{split}.json"
-                corpus_embd_save_dir = os.path.join(corpus_embd_save_dir, str(retriever), dataset_name)
+                if corpus_embd_save_dir is not None:
+                    corpus_embd_save_dir = os.path.join(corpus_embd_save_dir, str(retriever), dataset_name)
             else:
                 save_name = "{split}.json"
 
@@ -213,7 +214,8 @@ class BEIREvaluator(AbsEvaluator):
             for sub_dataset_name in sub_dataset_names:
                 if dataset_name is not None:
                     save_name = f"{dataset_name}-{sub_dataset_name}-" + "{split}.json"
-                    corpus_embd_save_dir = os.path.join(corpus_embd_save_dir, str(retriever), dataset_name, sub_dataset_name)
+                    if corpus_embd_save_dir is not None:
+                        corpus_embd_save_dir = os.path.join(corpus_embd_save_dir, str(retriever), dataset_name, sub_dataset_name)
                 else:
                     save_name = f"{sub_dataset_name}-" + "{split}.json"
 
diff --git a/setup.py b/setup.py
index ea1f178..4b60c5f 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@ with open("README.md", mode="r", encoding="utf-8") as readme_file:
 
 setup(
     name='FlagEmbedding',
-    version='1.3.3',
+    version='1.3.4',
     description='FlagEmbedding',
     long_description=readme,
     long_description_content_type="text/markdown",
@@ -16,7 +16,7 @@ setup(
     install_requires=[
         'torch>=1.6.0',
         'transformers>=4.44.2',
-        'datasets==2.19.0',
+        'datasets>=2.19.0',
         'accelerate>=0.20.1',
         'sentence_transformers',
         'peft',