update rank feature

utils.py

@@ -13,14 +13,14 @@ HF_TOKEN = os.environ.get("HF_TOKEN")
 TASKS = ["Classification", "VQA", "Retrieval", "Grounding"]
 
 MODEL_INFO = [
-    "Models", "Model Size(B)", "Data Source",
+    "Rank", "Models", "Model Size(B)", "Data Source",
     "Overall",
     "Classification", "VQA", "Retrieval", "Grounding"
 ]
 
 BASE_COLS = [col for col in MODEL_INFO if col not in TASKS]
 
-DATA_TITLE_TYPE = ['markdown', 'str', 'markdown', 'number', 'number', 'number', 'number', 'number', 'number', 'number']
+DATA_TITLE_TYPE = ['number', 'markdown', 'str', 'markdown', 'number', 'number', 'number', 'number', 'number', 'number', 'number']
 
 SUBMISSION_NAME = "MMEB"
 SUBMISSION_URL = os.path.join("https://huggingface.co/spaces/TIGER-Lab/", SUBMISSION_NAME)
@@ -142,6 +142,7 @@ def get_df():
     df['Model Size(B)'] = df['Model Size(B)'].apply(process_model_size)
     df = df.sort_values(by=['Overall'], ascending=False)
     df = create_hyperlinked_names(df)
+    df['Rank'] = range(1, len(df) + 1)
     return df