diff --git a/lmms_eval/evaluator.py b/lmms_eval/evaluator.py
index 83c64747e..de460c400 100755
--- a/lmms_eval/evaluator.py
+++ b/lmms_eval/evaluator.py
@@ -521,13 +521,7 @@ def evaluate(
                     target = task.doc_to_target(doc)
                     saved_doc = {}
                     for key, value in doc.items():
-                        # If image is not in key
-                        if "image" not in key:
-                            # If audio is also not the value
-                            if isinstance(value, dict) and "array" in value:
-                                continue
-                            else:
-                                saved_doc[key] = value
+                        saved_doc[key] = value
                     filtered_arguments = []
                     for req in requests:
                         # check if req.args is a list of tuples, and each item in the list is a serializable object
diff --git a/lmms_eval/tasks/camerabench_vqa/utils.py b/lmms_eval/tasks/camerabench_vqa/utils.py
index e6ea44681..4244edfe4 100644
--- a/lmms_eval/tasks/camerabench_vqa/utils.py
+++ b/lmms_eval/tasks/camerabench_vqa/utils.py
@@ -6,7 +6,6 @@
 SUFFIX_FOR_VQA = {"yes_no": "Please answer Yes or No.", "multiple_choice": "Please output the letter corresponding to the correct option."}
 
 
-
 def get_scores(scores):
     """
     Calculate various scores based on the given results.
@@ -148,11 +147,8 @@ def find_word_position(string, word):
 
 def cambench_doc_to_visual(doc):
     try:
-        default_path = os.path.join(os.getenv('HOME'), '.cache/huggingface')
-        load_path = os.path.expanduser(os.path.join(
-            os.getenv("HF_HOME", default_path),
-            'camerabench_vqa/datasets--chancharikm--camerabench_vqa_lmms_eval/snapshots'
-        ))
+        default_path = os.path.join(os.getenv("HOME"), ".cache/huggingface")
+        load_path = os.path.expanduser(os.path.join(os.getenv("HF_HOME", default_path), "camerabench_vqa/datasets--chancharikm--camerabench_vqa_lmms_eval/snapshots"))
 
         if not os.path.exists(load_path):
             raise FileNotFoundError(f"Dataset path not found: {load_path}")