chore: clean up

app.py

@@ -11,11 +11,12 @@ from src.about import (
 from src.benchmarks import DOMAIN_COLS_QA, LANG_COLS_QA, DOMAIN_COLS_LONG_DOC, LANG_COLS_LONG_DOC, METRIC_LIST, \
     DEFAULT_METRIC
 from src.display.css_html_js import custom_css
-from src.display.utils import COL_NAME_IS_ANONYMOUS, COL_NAME_REVISION, COL_NAME_TIMESTAMP, COL_NAME_RERANKING_MODEL, COL_NAME_RANK, COL_NAME_AVG
+from src.display.utils import COL_NAME_IS_ANONYMOUS, COL_NAME_REVISION, COL_NAME_TIMESTAMP, COL_NAME_RERANKING_MODEL
 from src.envs import API, EVAL_RESULTS_PATH, REPO_ID, RESULTS_REPO, TOKEN
 from src.read_evals import get_raw_eval_results, get_leaderboard_df
-from src.utils import update_metric, upload_file, get_default_cols, submit_results
-from src.display.gradio_formatting import get_version_dropdown, get_search_bar, get_reranking_dropdown, get_noreranker_button, get_metric_dropdown, get_domain_dropdown, get_language_dropdown, get_anonymous_checkbox, get_revision_and_ts_checkbox, get_leaderboard_table, get_noreranking_dropdown
+from src.utils import update_metric, upload_file, get_default_cols, submit_results, reset_rank
+from src.display.gradio_formatting import get_version_dropdown, get_search_bar, get_reranking_dropdown, \
+    get_metric_dropdown, get_domain_dropdown, get_language_dropdown, get_anonymous_checkbox, get_revision_and_ts_checkbox, get_leaderboard_table, get_noreranking_dropdown
 from src.display.gradio_listener import set_listeners
 
 def restart_space():
@@ -83,12 +84,6 @@ def update_metric_long_doc(
 
 demo = gr.Blocks(css=custom_css)
 
-
-def reset_rank(df):
-    df[COL_NAME_RANK] = df[COL_NAME_AVG].rank(ascending=False, method="min")
-    return df
-
-
 with demo:
     gr.HTML(TITLE)
     gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")

src/display/gradio_listener.py

@@ -1,4 +1,4 @@
-from src.utils import update_table, update_table_long_doc, clear_reranking_selections
+from src.utils import update_table, update_table_long_doc
 
 
 def set_listeners(

src/utils.py

@@ -120,7 +120,7 @@ def select_columns(
         filtered_df[COL_NAME_AVG] = filtered_df[selected_cols].apply(calculate_mean, axis=1).round(decimals=2)
         filtered_df.sort_values(by=[COL_NAME_AVG], ascending=False, inplace=True)
         filtered_df.reset_index(inplace=True, drop=True)
-        filtered_df[COL_NAME_RANK] = filtered_df[COL_NAME_AVG].rank(ascending=False, method="min")
+        filtered_df = reset_rank(filtered_df)
 
     return filtered_df
 
@@ -312,5 +312,6 @@ def submit_results(
     )
 
 
-def clear_reranking_selections():
-    return ["NoReranker",]
+def reset_rank(df):
+    df[COL_NAME_RANK] = df[COL_NAME_AVG].rank(ascending=False, method="min")
+    return df