diff --git a/open_flamingo/eval/evaluate.py b/open_flamingo/eval/evaluate.py
index 402cefb7..4935d3e2 100644
--- a/open_flamingo/eval/evaluate.py
+++ b/open_flamingo/eval/evaluate.py
@@ -153,7 +153,7 @@
 )
 
 ## VQAV2, OK-VQA, VizWiz, TextVQA, GQA Datasets
-for task in ['vqav2', 'ok_vqa', 'vizwiz', 'textvqa', 'gqa']:
+for task in ['vqav2', 'okvqa', 'vizwiz', 'textvqa', 'gqa']:
     parser.add_argument(
         f"--{task}_image_dir_path" if task=='gqa' or task=='textvqa' else f"--{task}_train_image_dir_path",
         type=str,
@@ -322,7 +322,7 @@ def main():
             # load cached demonstration features for RICES
             if args.cached_demonstration_features is not None:
                 cached_features = torch.load(
-                    f"{args.cached_demonstration_features}/{'ok_vqa' if vqa_task=='okvqa' else vqa_task}.pkl", map_location="cpu"
+                    f"{args.cached_demonstration_features}/{vqa_task}.pkl", map_location="cpu"
                 )
             else:
                 cached_features = None
@@ -603,7 +603,7 @@ def evaluate_vqa(
     var_args = vars(args)
     for task in ["okvqa", "vqav2", "vizwiz", "textvqa", "gqa"]:
         if dataset_name == task:
-            task = task if task!="okvqa" else "ok_vqa"
+            task = task
             train_image_dir_path = var_args[f"{task}_train_image_dir_path" if task!="textvqa" and task!="gqa" else f"{task}_image_dir_path"]
             train_questions_json_path = var_args[f"{task}_train_questions_json_path"]
             train_annotations_json_path = var_args[f"{task}_train_annotations_json_path"]
@@ -706,7 +706,7 @@ def evaluate_vqa(
 
         process_function = (
             postprocess_ok_vqa_generation
-            if dataset_name == "ok_vqa"
+            if dataset_name == "okvqa"
             else postprocess_vqa_generation
         )