removed raw win rate and swaped log to main plot view

README.md

@@ -30,8 +30,6 @@ pip install "gradio==5.19.0" pandas -r requirements.txt
 python app.py
 ```
 
-The app is served at `http://127.0.0.1:7860`.
-
 `requirements.txt` lists Plotly. Gradio and pandas are required locally;
 Hugging Face Spaces installs Gradio from the YAML `sdk_version` above.
 

app.py

@@ -2286,7 +2286,7 @@ def load_qwen_combined_dataframe(path):
     df = df[~df["Model"].astype(str).str.startswith("#")].copy()
     df["Model"] = df["Model"].astype(str).str.strip()
 
-    return _as_numeric(
+    df = _as_numeric(
         df,
         [
             "Price / Image (USD)",
@@ -2296,7 +2296,9 @@ def load_qwen_combined_dataframe(path):
             "Rapidata Elo",
             "Datapoint Elo",
         ],
-    ).reset_index(drop=True)
+    )
+    df = df.drop(columns=["Raw Win Rate"], errors="ignore")
+    return df.reset_index(drop=True)
 
 
 df = load_oneig_dataframe(oneig_path)
@@ -2369,7 +2371,6 @@ qwen_display_columns = [
         "Datapoint Elo",
         "Rapidata Elo",
         "P-Judge Overall",
-        "Raw Win Rate",
         "Median Generation Time (s)",
         "Min Generation Time (s)",
         "Price / Image (USD)",

ui.py

@@ -27,11 +27,11 @@ _PARETO_SLOT_COUNT = 1 + MAX_PARETO_METRICS * 8
 _PARETO_PRICE_COLUMN = "Price / Image (USD)"
 _PARETO_TIME_COLUMN = "Min Generation Time (s)"
 _PARETO_SCALE_CHOICES = [
-    ("Linear", "Linear"),
     ("Log", "Logarithmic"),
+    ("Linear", "Linear"),
 ]
 _PARETO_SCALE_VALUES = {value for _, value in _PARETO_SCALE_CHOICES}
-_PARETO_SCALE_DEFAULT = "Linear"
+_PARETO_SCALE_DEFAULT = "Logarithmic"
 
 TAB_LEADERBOARDS = "leaderboards"
 TAB_PARETO = "pareto"
@@ -592,7 +592,6 @@ def _display_label(column):
         "Arena Art Elo": "Art",
         "Arena Portraits Elo": "Portraits",
         "Arena Text Rendering Elo": "Text Rendering",
-        "Raw Win Rate": "Raw win rate",
         "Median Generation Time (s)": "Median generation time",
         "Min Generation Time (s)": "Min generation time",
         "Price / Image (USD)": "Price per image",
@@ -1242,8 +1241,8 @@ def render_image_workspace(datasets, metrics, default_dataset_id, default_metric
                     "see which model it is."
                     "</p>"
                     "<p class='view-help'>"
-                    "You can switch between linear and logarithmic scale for all "
-                    "the plots, or individually for each plots."
+                    "Plots use a logarithmic scale by default. You can switch "
+                    "to linear for all plots, or individually for each plot."
                     "</p>",
                     elem_classes="view-help-host",
                 )