remove redundant entries

data_reviewer.py

@@ -47,12 +47,6 @@ def load_and_display_sample(split, idx):
 
         # Process JSON data
         models = json.loads(sample["models"]) if isinstance(sample["models"], str) else sample["models"]
-        meta = json.loads(sample["meta"]) if isinstance(sample["meta"], str) else sample["meta"]
-        error_analysis = (
-            json.loads(sample["human_error_analysis"])
-            if isinstance(sample["human_error_analysis"], str)
-            else sample["human_error_analysis"]
-        )
 
         return (
             sample["image"],  # image
@@ -63,9 +57,7 @@ def load_and_display_sample(split, idx):
             sample["query_source"],  # query_source
             sample["query"],  # query
             json.dumps(models, indent=2),  # models_json
-            json.dumps(meta, indent=2),  # meta_json
             sample["rationale"],  # rationale
-            json.dumps(error_analysis, indent=2),  # error_analysis_json
             sample["ground_truth"],  # ground_truth
             f"Total samples: {len(dataset)}",  # total_samples
         )
@@ -114,15 +106,11 @@ def create_data_viewer():
         with gr.Row(visible=not IGNORE_DETAILS):
             with gr.Column():
                 models_json = gr.JSON(label="Models", value=json.loads(initial_data[7]))  # Set initial models
-                meta_json = gr.JSON(label="Meta", value=json.loads(initial_data[8]))  # Set initial meta
                 rationale = gr.TextArea(
                     label="Rationale", value=initial_data[9], interactive=False  # Set initial rationale
                 )
 
             with gr.Column():
-                error_analysis_json = gr.JSON(
-                    label="Human Error Analysis", value=json.loads(initial_data[10])  # Set initial error analysis
-                )
                 ground_truth = gr.TextArea(
                     label="Ground Truth", value=initial_data[11], interactive=False  # Set initial ground truth
                 )
@@ -141,9 +129,7 @@ def create_data_viewer():
                     query_source,
                     query,
                     models_json,
-                    meta_json,
                     rationale,
-                    error_analysis_json,
                     ground_truth,
                     total_samples,
                 ],