F

src/display/utils.py

@@ -47,9 +47,8 @@ AutoEvalColumn = make_dataclass("AutoEvalColumn", auto_eval_column_dict, frozen=
 class EvalQueueColumn:  # Queue column
     model = ColumnContent("model", "markdown", True)
     revision = ColumnContent("revision", "str", True)
-    private = ColumnContent("private", "bool", True)
-    precision = ColumnContent("precision", "str", True)
-    weight_type = ColumnContent("weight_type", "str", "Original")
+    output_format = ColumnContent("output_format", "str", True)
+    dataset_version = ColumnContent("dataset_version", "str", True)
     status = ColumnContent("status", "str", True)
 
 ## All the model information that we might need

src/populate.py

@@ -52,6 +52,8 @@ def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
 
         data[EvalQueueColumn.model.name] = make_clickable_model(data["model"])
         data[EvalQueueColumn.revision.name] = data.get("revision", "main")
+        data[EvalQueueColumn.output_format] = data["output_format"]
+        data[EvalQueueColumn.dataset_version] = file_path.split("/")[0]
 
         all_evals.append(data)