update

about.py

@@ -1,11 +1,6 @@
-TITLE = """<h1 align="center" id="space-title">SGI Leaderboard</h1>"""
+TITLE = """<h1 align="center" id="space-title">SGI-Bench Leaderboard</h1>"""
 
-
-INTRODUCTION_TEXT = """
-## Scientific General Intelligence (SGI) is defined as an AI system that can autonomously navigate the full, iterative cycle of scientific inquiry—Deliberation, Conception, Action, and Perception—with the versatility and proficiency of a human scientist. SGI-Bench operationalizes this definition via four scientist-aligned task families: deep research, idea generation, AI-assisted experiments (dry/wet), and multimodal experimental reasoning. The benchmark spans 10 disciplines and ~1,000 expert-curated samples inspired by Science's 125 Big Questions.
-"""
-
-CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
+CITATION_BUTTON_LABEL = "📖 Citation"
 CITATION_BUTTON_TEXT = r"""
 @article{sgi2025,
   title={SGI-Bench: Scientific Intelligence Benchmark via Scientist-Aligned Workflows},

app.py

@@ -1,11 +1,9 @@
 import gradio as gr
 from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
 import pandas as pd
-from apscheduler.schedulers.background import BackgroundScheduler
 from about import (
     CITATION_BUTTON_LABEL,
     CITATION_BUTTON_TEXT,
-    INTRODUCTION_TEXT,
     TITLE,
 )
 from css_html_js import custom_css
@@ -40,14 +38,14 @@ def build_leaderboard_df():
         type = item["type"]
         scores = item["scores"]
         row = {
-            "Type": type,
             "Model": name,
+            "Type": type,
             "SGI-Score": round(sum(scores) / len(scores), 2),
         }
         for i, col in enumerate(task_cols):
             row[col] = scores[i]
         rows.append(row)
-    cols = ["Type", "Model", "SGI-Score"] + task_cols
+    cols = ["Model", "Type", "SGI-Score"] + task_cols
     df = pd.DataFrame(rows, columns=cols).sort_values(by=["SGI-Score"], ascending=False).round(decimals=2)
     return df
 
@@ -56,8 +54,8 @@ LEADERBOARD_DF = build_leaderboard_df()
 
 def init_leaderboard(dataframe):
     datatypes = ["str", "str", "number", "number", "number", "number", "number", "number"]
-    default_selection = ["Type","Model","SGI-Score","Deep Research","Idea Generation","Dry Experiment","Wet Experiment","Experimental Reasoning"]
-    cant_deselect = ["Type","Model"]
+    default_selection = ["Model","Type","SGI-Score","Deep Research","Idea Generation","Dry Experiment","Wet Experiment","Experimental Reasoning"]
+    cant_deselect = ["Model","Type",]
     return Leaderboard(
         value=dataframe,
         datatype=datatypes,
@@ -76,19 +74,17 @@ def init_leaderboard(dataframe):
 demo = gr.Blocks(css=custom_css)
 with demo:
     gr.HTML(TITLE)
-    gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
 
     leaderboard = init_leaderboard(LEADERBOARD_DF)
 
     with gr.Row():
-        with gr.Accordion("📖 Citation", open=False):
+        with gr.Group():
             citation_button = gr.Textbox(
                 value=CITATION_BUTTON_TEXT,
                 label=CITATION_BUTTON_LABEL,
-                lines=20,
+                lines=CITATION_BUTTON_TEXT.count('\n')+1,
                 elem_id="citation-button",
                 show_copy_button=True,
             )
 
-
 demo.queue(default_concurrency_limit=40).launch()

css_html_js.py

@@ -2,6 +2,7 @@ custom_css = """
 
 .markdown-text {
     font-size: 16px !important;
+    text-align: center;
 }
 
 #models-to-add-text {