bring back ieea/spin

app.py

@@ -57,8 +57,8 @@ OTHER_EVAL_TYPES = [
     "Conformers",
     "Protonation",
     "Distance scaling",
-    # "IE_EA",
-    # "Spin gap",
+    "IE_EA",
+    "Spin gap",
 ]
 
 # All evaluation types for the dropdown
@@ -94,9 +94,9 @@ class LeaderboardData:
             "Ligand strain": f"{target_data_dir}/ligand_strain_labels.json",
             "Conformers": f"{target_data_dir}/geom_conformers_labels.json",
             "Protonation": f"{target_data_dir}/protonation_energies_labels.json",
-            "IE_EA": f"{target_data_dir}/unoptimized_ie_ea_labels.json",
+            "IE_EA": f"{target_data_dir}/ieea_labels.json",
             "Distance scaling": f"{target_data_dir}/distance_scaling_labels.json",
-            "Spin gap": f"{target_data_dir}/unoptimized_spin_gap_labels.json",
+            "Spin gap": f"{target_data_dir}/spingap_labels.json",
         }
 
         self.result_paths = {
@@ -229,6 +229,9 @@ class LeaderboardData:
         eval_columns = LEADERBOARD_COLUMNS[split]
         filtered_columns = PRE_COLUMN_NAMES + eval_columns + POST_COLUMN_NAMES
         df = pd.DataFrame(local_df)
+
+        # Filter to only show results after 09/2025, keep v1 for record keeping
+        df = df[df["Submission date"] > "2025-09"]
         avail_columns = list(df.columns)
         missing_columns = list(set(filtered_columns) - set(avail_columns))
         df[missing_columns] = ""
@@ -253,8 +256,8 @@ LEADERBOARD_COLUMNS = {
     "Conformers": ["deltaE_mae", "ensemble_rmsd"],
     "Protonation": ["deltaE_mae", "rmsd"],
     "Distance scaling": ["lr_ddE_mae", "lr_ddF_mae", "sr_ddE_mae", "sr_ddF_mae"],
-    # "IE_EA": ["deltaE_mae", "deltaF_mae"],
-    # "Spin gap": ["deltaE_mae", "deltaF_mae"],
+    "IE_EA": ["deltaE_mae", "deltaF_mae"],
+    "Spin gap": ["deltaE_mae", "deltaF_mae"],
 }
 
 COLUMN_MAPPING = {
@@ -400,16 +403,17 @@ def add_new_eval(
 
         success_str = f"✅ Model {model} is successfully evaluated and stored in our database.\nPlease wait an hour and refresh the leaderboard to see your results displayed."
         yield success_str
-
     except Exception as e:
         print(f"Error during submission: {e}")
         yield (
             f"An error occurred, please open a discussion/issue if you continue to have submission issues.\n{e}"
         )
 
+
 def transform_time(date_str):
-    dt = datetime.strptime(date_str, '%Y-%m-%d-%H:%M')
-    return dt.strftime('%Y-%m-%d')
+    dt = datetime.strptime(date_str, "%Y-%m-%d-%H:%M")
+    return dt.strftime("%Y-%m-%d")
+
 
 def create_dataframe_tab(
     tab_name: str,
@@ -639,7 +643,10 @@ def create_interface() -> gr.Blocks:
         gr.Markdown("## Evaluations", elem_classes="markdown-text")
         with gr.Row():
             create_evaluation_tabs(results_dfs)
-        gr.Markdown("**Overview rankings based on average rank across all evaluations", elem_classes="markdown-text")
+        gr.Markdown(
+            "**Overview rankings based on average rank across all evaluations",
+            elem_classes="markdown-text",
+        )
 
         # S2EF Results tabs
         gr.Markdown("## S2EF", elem_classes="markdown-text")

content.py

@@ -7,7 +7,7 @@ INTRODUCTION_TEXT = """
 
 This space hosts comprehensive leaderboards across different chemical domains including molecules, catalysts, and materials.
 
-*Note: Leaderboards previously hosted on EvalAI (such as [OC20](https://eval.ai/web/challenges/challenge-page/712/overview)) will be migrated here in the future.*
+*Note: Leaderboards previously hosted on EvalAI (such as [OC20](https://eval.ai/web/challenges/challenge-page/712/overview)) will be migrated here in the near future.*
 
 ## 🧬 OMol25
 
@@ -26,8 +26,8 @@ This leaderboard evaluates performance on the **Open Molecules 2025 (OMol25)** d
 - **Conformers:** Identifying the lowest energy conformer
 - **Protonation:** Energy differences between protonated structures (proxy for pKa prediction)
 - **Distance Scaling:** Short and long range intermolecular interactions
-- **(coming soon) IE/EA:** Ionization energy and electron affinity
-- **(coming soon) Spin Gap:** Energy differences between varying spin states
+- **IE/EA:** Ionization energy and electron affinity
+- **Spin Gap:** Energy differences between varying spin states
 
 ## 📋 Getting Started