Added logo and fixed spearman_abs

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -69,12 +69,12 @@ def get_leaderboard_table(df_results: pd.DataFrame, assay: str | None = None):
     # to_show['user'] = to_show['user'].apply(lambda x: make_user_clickable(x)).astype(str)
     
     # Previously hosted on HF hub, local for now (Can also pull directly from github backend)
-    column_order = ["model", "property", "spearman", "spearman_abs"]
+    column_order = ["model", "property", "spearman", "spearman_cross_val"]
     df = df_results.query("assay.isin(@ASSAY_RENAME.keys())").copy()
     if assay is not None:
         df = df[df['assay'] == assay]
     df = df[column_order]
-    return df.sort_values(by="spearman_abs", ascending=False)
+    return df.sort_values(by="spearman", ascending=False)
 
 def get_leaderboard_object(df_results: pd.DataFrame, assay: str | None = None):
     df = get_leaderboard_table(df_results=df_results, assay=assay)
@@ -85,7 +85,7 @@ def get_leaderboard_object(df_results: pd.DataFrame, assay: str | None = None):
     Leaderboard(
         value=df,
         datatype=["str", "str", "str", "number"],
-        select_columns=["model", "property", "spearman"],
+        select_columns=["model", "property", "spearman", "spearman_cross_val"],
         search_columns=["model"],
         filter_columns=filter_columns,
         every=60,
@@ -99,13 +99,14 @@ def fetch_hf_results():
     ds = load_dataset(results_repo, split='no_low_spearman', download_mode="force_redownload")
     df = pd.DataFrame(ds).drop_duplicates(subset=["model", "assay"])
     df["property"] = df["assay"].map(ASSAY_RENAME)
+    print(df.head())
     return df
 
 with gr.Blocks() as demo:
     gr.Markdown("""
-        ## Welcome to the Ginkgo Antibody Developability Benchmark Leaderboard!
+        ## Welcome to the Ginkgo Antibody Developability Benchmark!
         
-        Participants can submit their model to the leaderboard by 
+        Participants can submit their model to the leaderboard by uploading a CSV file (see the "✉️ Submit" tab).
         """)
     df = fetch_hf_results()
     with gr.Tabs(elem_classes="tab-buttons"):
@@ -117,11 +118,11 @@ with gr.Blocks() as demo:
         
         with gr.TabItem("🚀 Overall", elem_id="abdev-benchmark-tab-table"):                
             gr.Markdown("# Antibody Developability Benchmark Leaderboard over all properties")
-
             get_leaderboard_object(df_results=df)
             # TODO: this is not going to update well, need to fix
         
         with gr.TabItem("❔About", elem_id="abdev-benchmark-tab-table"):
+            gr.Image(value="./assets/competition_logo.jpg")
             gr.Markdown(
                 """
                 ## About this challenge