added option to not display result

src/leaderboard/read_evals.py

@@ -33,6 +33,7 @@ class EvalResult:
     num_params: int = 0
     date: str = ""  # submission date of request file
     still_on_hub: bool = False
+    display_result:bool = True
 
     @classmethod
     def init_from_json_file(self, json_filepath):
@@ -49,6 +50,8 @@ class EvalResult:
         # print(model_architecture, model_type)
         license = config.get("license", "?")
         num_params = config.get("num_params", "?")
+        display_result = config.get("display_result", True)
+        display_result = False if display_result=="False" else True
 
         # Get model and org
         org_and_model = config.get("model_name", config.get("model_args", None))
@@ -112,7 +115,8 @@ class EvalResult:
             backbone=backbone,
             model_type=model_type,
             num_params=num_params,
-            license=license
+            license=license,
+            display_result=display_result
         )
 
     def update_with_request_file(self, requests_path):
@@ -154,6 +158,7 @@ class EvalResult:
                 AutoEvalColumn.likes.name: self.likes,
                 AutoEvalColumn.params.name: self.num_params,
                 AutoEvalColumn.still_on_hub.name: self.still_on_hub,
+                "display_result" : self.display_result,
             }
 
             for task in Tasks:
@@ -178,6 +183,7 @@ class EvalResult:
                 AutoEvalColumn.likes.name: self.likes,
                 AutoEvalColumn.params.name: self.num_params,
                 AutoEvalColumn.still_on_hub.name: self.still_on_hub,
+                "display_result" : self.display_result,
             }
 
             for clinical_type in ClinicalTypes:
@@ -242,6 +248,8 @@ def get_raw_eval_results(results_path: str, requests_path: str) -> list[EvalResu
     for v in eval_results.values():
         try:
             v.to_dict(subset="dataset")  # we test if the dict version is complete
+            if not v.display_result:
+                continue
             results.append(v)
         except KeyError:  # not all eval values present
             continue