update task list populate code

src/about.py

@@ -14,7 +14,7 @@ class Tasks(Enum):
     # task_key in the json file, metric_key in the json file, name to display in the leaderboard 
     task0 = Task("openai", "acc_norm", "OpenAi")
     task1 = Task("anthropic", "acc_norm", "Anthropic")
-    task1 = Task("hf", "acc_norm", "HuggingFace")
+    task2 = Task("hf", "acc_norm", "HuggingFace")
 
 NUM_FEWSHOT = 0 # Change with your few shot
 # ---------------------------------------------------

src/populate.py

@@ -30,8 +30,12 @@ def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
     for entry in entries:
         if ".json" in entry:
             file_path = os.path.join(save_path, entry)
-            with open(file_path) as fp:
-                data = json.load(fp)
+            try:
+                with open(file_path, encoding='utf-8') as fp:
+                    data = json.load(fp)
+            except UnicodeDecodeError as e:
+                print(f"Unicode decoding error in {file_path}: {e}")
+                continue
 
             data[EvalQueueColumn.model.name] = make_clickable_model(data["model"])
             data[EvalQueueColumn.revision.name] = data.get("revision", "main")
@@ -42,8 +46,15 @@ def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
             sub_entries = [e for e in os.listdir(f"{save_path}/{entry}") if not e.startswith(".")]
             for sub_entry in sub_entries:
                 file_path = os.path.join(save_path, entry, sub_entry)
-                with open(file_path) as fp:
-                    data = json.load(fp)
+                try:
+                    with open(file_path, encoding='utf-8') as fp:
+                        data = json.load(fp)
+                except json.JSONDecodeError:
+                    print(f"Error reading {file_path}")
+                    continue
+                except UnicodeDecodeError as e:
+                    print(f"Unicode decoding error in {file_path}: {e}")
+                    continue
 
                 data[EvalQueueColumn.model.name] = make_clickable_model(data["model"])
                 data[EvalQueueColumn.revision.name] = data.get("revision", "main")