Fix a weird bug that made the cicklabe model name fail to render in some boards

app.py

@@ -221,7 +221,7 @@ def get_mteb_data(tasks=["Clustering"], langs=[], datasets=[], fillna=True, add_
                         MODEL_EMB_DIM[model.modelId] = get_dim_seq_size(model)
                     out["Embedding Dimensions"], out["Max Tokens"], out["Model Size (Million Parameters)"], out["Memory Usage (GB, fp32)"] = MODEL_EMB_DIM[model.modelId]
                 except:
-                    MODEL_EMB_DIM[model.modelId] = None, None, None, None
+                    MODEL_EMB_DIM[model.modelId] = "", "", "", ""
             df_list.append(out)
         if model.library_name == "sentence-transformers" or "sentence-transformers" in model.tags or "modules.json" in {file.rfilename for file in model.siblings}:
             SENTENCE_TRANSFORMERS_COMPATIBLE_MODELS.add(out["Model"])
@@ -294,11 +294,7 @@ for board, board_config in BOARDS_CONFIG.items():
         all_data_tasks.extend(data_tasks.values())
     else:
         for task_category, task_category_list in board_config["tasks"].items():
-            columns = ["Model", "Model Size (Million Parameters)", "Memory Usage (GB, fp32)", "Embedding Dimensions", "Max Tokens"]
-            if len(task_category_list) > 1:
-                columns.append("Average")
-            print(board, task_category, task_category_list)
-            data_task_category = get_mteb_data([task_category], [], task_category_list, refresh=False)[columns + task_category_list]
+            data_task_category = get_mteb_data(tasks=[task_category], datasets=task_category_list, refresh=False)
             boards_data[board]["data_tasks"][task_category] = data_task_category
             all_data_tasks.append(data_task_category)
 
@@ -388,7 +384,7 @@ for board, board_config in BOARDS_CONFIG.items():
             "language_long": board_config["language_long"],
             "description": f"**{task_category} {board_pretty_name}** {task_icon}{board_icon}",
             "data": boards_data[board]["data_tasks"][task_category],
-            "refresh": partial(get_mteb_data, [task_category], [], task_category_list),
+            "refresh": partial(get_mteb_data, tasks=[task_category], datasets=task_category_list),
             "credits": credits,
         })