Remove stuff

src/leaderboard/read_evals.py

@@ -24,7 +24,6 @@ class EvalResult:
     precision: Precision = Precision.Unknown
     model_type: ModelType = ModelType.Unknown  # Pretrained, fine tuned, ...
     architecture: str = "Unknown"
-    license: str = "?"
     likes: int = 0
     num_params: int = 0
     date: str = ""  # submission date of request file
@@ -59,11 +58,6 @@ class EvalResult:
         still_on_hub, _, model_config = is_model_on_hub(
             full_model, config.get("model_sha", "main"), trust_remote_code=True, test_tokenizer=False
         )
-        architecture = "?"
-        if model_config is not None:
-            architectures = getattr(model_config, "architectures", None)
-            if architectures:
-                architecture = ";".join(architectures)
 
         # Extract results available in this file (some results are split in several files)
         results = {}
@@ -88,7 +82,6 @@ class EvalResult:
             precision=precision,
             revision=config.get("model_sha", ""),
             still_on_hub=still_on_hub,
-            architecture=architecture
         )
 
     def update_with_request_file(self, requests_path):
@@ -100,7 +93,6 @@ class EvalResult:
             with open(request_file, "r") as f:
                 request = json.load(f)
             self.model_type = ModelType.from_str(request.get("model_type", ""))
-            self.likes = request.get("likes", 0)
             self.num_params = request.get("params", 0)
             self.date = request.get("submitted_time", "")
         except Exception:
@@ -109,8 +101,6 @@ class EvalResult:
 
     def to_dict(self):
         """Converts the Eval Result to a dict compatible with our dataframe display"""
-        average = sum([v for v in self.results.values()
-                      if v is not None]) / len(Tasks)
         data_dict = {
             "eval_name": self.eval_name,  # not a column, just a save name,
             AutoEvalColumn.precision.name: self.precision.value.name,