Upload app.py

app.py

@@ -732,7 +732,7 @@ with gr.Blocks(title="Napolab Leaderboard", theme=gr.themes.Soft()) as app:
                     for dataset_name in sorted(NAPOLAB_DATASETS.keys()):
                         display_name = NAPOLAB_DATASETS[dataset_name].get('name', dataset_name)
                         # Default to selected only for ASSIN 2 STS, FaQuAD-NLI, and HateBR
-                        default_value = display_name in ['ASSIN 2 STS', 'FaQuAD-NLI', 'HateBR']
+                        default_value = dataset_name in ['assin2_sts', 'faquad-nli', 'hatebr']
                         checkbox = gr.Checkbox(
                             label=display_name,
                             value=default_value
@@ -808,7 +808,7 @@ with gr.Blocks(title="Napolab Leaderboard", theme=gr.themes.Soft()) as app:
                     for dataset_name in sorted(NAPOLAB_DATASETS.keys()):
                         display_name = NAPOLAB_DATASETS[dataset_name].get('name', dataset_name)
                         # Default to selected only for ASSIN 2 STS, FaQuAD-NLI, and HateBR
-                        default_value = display_name in ['ASSIN 2 STS', 'FaQuAD-NLI', 'HateBR']
+                        default_value = dataset_name in ['assin2_sts', 'faquad-nli', 'hatebr']
                         checkbox = gr.Checkbox(
                             label=display_name,
                             value=default_value
@@ -961,10 +961,10 @@ with gr.Blocks(title="Napolab Leaderboard", theme=gr.themes.Soft()) as app:
     
     # Connect events
     # Load model analysis chart on app start
-    app.load(lambda: update_radar_chart(*([display_name in ['ASSIN 2 STS', 'FaQuAD-NLI', 'HateBR'] for _, display_name in [(name, NAPOLAB_DATASETS[name].get('name', name)) for name in sorted(NAPOLAB_DATASETS.keys())]] + [True, 80, True, True, True, True, ""])), outputs=model_analysis_chart)
+    app.load(lambda: update_radar_chart(*([name in ['assin2_sts', 'faquad-nli', 'hatebr'] for name in sorted(NAPOLAB_DATASETS.keys())] + [True, 80, True, True, True, True, ""])), outputs=model_analysis_chart)
     
     # Load benchmark table on app start
-    app.load(lambda: update_benchmark_table(*([display_name in ['ASSIN 2 STS', 'FaQuAD-NLI', 'HateBR'] for _, display_name in [(name, NAPOLAB_DATASETS[name].get('name', name)) for name in sorted(NAPOLAB_DATASETS.keys())]] + [True, 80, True, True, True, True, ""])), outputs=benchmark_table)
+    app.load(lambda: update_benchmark_table(*([name in ['assin2_sts', 'faquad-nli', 'hatebr'] for name in sorted(NAPOLAB_DATASETS.keys())] + [True, 80, True, True, True, True, ""])), outputs=benchmark_table)
     
     # Connect dataset checkboxes to update table
     for dataset_name, checkbox in dataset_checkboxes: