add result

app.py

@@ -99,8 +99,11 @@ def submit(model_name, model_id, contact_email, challenge, submission_id, paper_
 abs_path = Path(__file__).parent
 
 # Any pandas-compatible data
-pinder_df = pd.read_json(str(abs_path / "leaderboard_pinder.json"))
-plinder_df = pd.read_json(str(abs_path / "leaderboard_plinder.json"))
+# pinder_df = pd.read_json(str(abs_path / "leaderboard_pinder.json"))
+# plinder_df = pd.read_json(str(abs_path / "leaderboard_plinder.json"))
+
+plinder_df = pd.read_csv("plinder_leaderboard.csv")
+pinder_df = pd.read_csv("pinder_leaderboard.csv")
 
 with gr.Blocks() as demo:
     gr.Markdown("""
@@ -114,8 +117,8 @@ with gr.Blocks() as demo:
                 """)
         Leaderboard(
         value=pinder_df,
-        select_columns=["Arch", "Model", "L_rms", "I_rms",
-            "F_nat", "DOCKQ", "CAPRI"],
+        select_columns=["Model", "Space" "Median L_rms", "Median I_rms",
+            "Median F_nat", "Median DOCKQ", "%CAPRI !=incorrect"],
         search_columns=["model_name_for_query"],
         hide_columns=["model_name_for_query",],
         filter_columns=["Arch"],
@@ -126,8 +129,8 @@ with gr.Blocks() as demo:
                 """)
         Leaderboard(
         value=plinder_df,
-        select_columns=["Arch", "Model", "Mean lDDT-PLI", "Mean lDDT-LP",
-                        "Median RMSD", "% lDDT-PLI >= 0.5", "% pass PoseBusters"],
+        select_columns=["Model", "Space", "median LDDT-PLI", "median LDDT-LP",
+                        "median BISY-RMSD", "% LDDT-PLI >= 0.5", "% PoseBusters valid"],
         search_columns=["model_name_for_query"],
         hide_columns=["model_name_for_query",],
         filter_columns=["Arch"],

pinder_leaderboard.csv

@@ -0,0 +1,6 @@
+Arch,Model,Space,Median L_rms,Median I_rms,Median F_nat,Median DOCKQ,Mean L_rms,Mean I_rms,Mean F_nat,Mean DOCKQ,% failed predictions,% CAPRI !=incorrect
+Diffusion model,DFM-Dock,"<a target=""_blank"" href=""https://huggingface.co/spaces/mlsb/dfmdock"" style=""color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;"">mlsb/dfmdock</a>",39.3117275,15.8338335,0.0,0.02278068069803215,42.07 +- 25.61,16.43 +- 9.57,0.07 +- 0.15,0.08 +- 0.16,3.7433155080213942,11.11111111111111
+Other,DockFormerPP,"<a target=""_blank"" href=""https://huggingface.co/spaces/mlsb/dockformerpp"" style=""color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;"">mlsb/dockformerpp</a>",38.390514,16.088785,0.0,0.0191071284934878,38.01 +- 21.68,16.22 +- 9.00,0.10 +- 0.23,0.11 +- 0.20,23.529411764705888,13.286713286713287
+GNN,EquiMPNN IITM-Bisect,"<a target=""_blank"" href=""https://huggingface.co/spaces/mlsb/iitm-bisect-pinder-submission"" style=""color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;"">mlsb/iitm-bisect-pinder-submission</a>",43.566761,17.454614999999997,0.035130970724190996,0.0325374780433374,45.97 +- 15.59,18.48 +- 5.86,0.10 +- 0.14,0.05 +- 0.05,0.5347593582887722,0.5376344086021506
+GNN,IITM-Bisect,"<a target=""_blank"" href=""https://huggingface.co/spaces/mlsb/bisect-iitm-submission-2"" style=""color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;"">mlsb/bisect-iitm-submission-2</a>",67.739315,26.3474215,0.0,0.00635691879627605,67.57 +- 18.68,26.62 +- 6.67,0.00 +- 0.00,0.01 +- 0.01,0.5347593582887722,0.0
+Baseline,Blackhole,"<a target=""_blank"" href=""https://huggingface.co/spaces/mlsb/blackhole-models-ppi"" style=""color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;"">mlsb/blackhole-models-ppi</a>",35.7985705,16.098278999999998,1.0,0.3526358633923034,37.37 +- 10.96,16.85 +- 4.73,0.97 +- 0.11,0.35 +- 0.04,0.5347593582887722,0.0

plinder_leaderboard.csv

@@ -0,0 +1,4 @@
+Arch,Model,Space,median LDDT-PLI,% LDDT-PLI > 0.5,median LDDT-LP,median BISY-RMSD,mean LDDT-PLI,mean LDDT-LP,mean BISY-RMSD,% failed predictions,Median PoseBusters #checks,% PoseBusters valid
+Other,Dockformer,"<a target=""_blank"" href=""https://huggingface.co/spaces/mlsb/dockformer"" style=""color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;"">mlsb/dockformer</a>",0.16646477077591204,6.097560975609756,0.8170149100129014,9.215861770548562,0.18921927438876834,0.8020337351581273,13.216704827816146,5.202312138728327,18.0,1.2195121951219512
+Baseline,Blackhole PLI,"<a target=""_blank"" href=""https://huggingface.co/spaces/mlsb/blackhole-models-pli"" style=""color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;"">mlsb/blackhole-models-pli</a>",0.37270449620801727,3.488372093023256,0.0060437765436131,8.767553157813923,0.36914041759978544,0.0064884000006287185,9.10088597861171,0.5780346820809301,,
+Baseline,Blackhole PLI Busted,"<a target=""_blank"" href=""https://huggingface.co/spaces/mlsb/blackhole-models-pli-busted"" style=""color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;"">mlsb/blackhole-models-pli-busted</a>",0.6716160220994476,100.0,0.006066303474020899,7.931562387716283,0.6687091886785083,0.0064949451798673756,8.07027216908982,0.5780346820809301,,