Update Leaderboard

app.py

@@ -1,3 +1,4 @@
+
 import gradio as gr
 import pandas as pd
 from pathlib import Path
@@ -47,18 +48,26 @@ def extract_categories_and_subs(df):
         i += 1
     return category_dict
 
-# 列过滤函数，保持固定列 + 用户选择列 + 顺序不变
-def filtered_leaderboard(df, selected_columns):
-    selected_columns = selected_columns or []
-    final_cols = FIXED_COLUMNS + [col for col in df.columns if col in selected_columns and col not in FIXED_COLUMNS]
-    return df[final_cols]
-
-# Update functions
-def update_leaderboard_overall(selected_cols, df_overall):
-    return filtered_leaderboard(df_overall, selected_cols)
-
-def update_leaderboard_cat(selected_cols, df_cat):
-    return filtered_leaderboard(df_cat, selected_cols)
+def build_overall_tab_cols(df, categories):
+    # Overall 页面希望把 Real/Game 的 '-Overall' 放在子项之后
+    real = categories.get("Real-World", {"overall": None, "subs": []})
+    game = categories.get("Game-World", {"overall": None, "subs": []})
+
+    base = FIXED_COLUMNS.copy()
+    rest = [c for c in df.columns if c not in base]
+
+    ordered = base + ["Overall"]
+    # real: 子项 -> overall
+    ordered += [c for c in real.get("subs", []) if c in df.columns]
+    if real.get("overall") in df.columns:
+        ordered += [real["overall"]]
+    # game: 子项 -> overall
+    ordered += [c for c in game.get("subs", []) if c in df.columns]
+    if game.get("overall") in df.columns:
+        ordered += [game["overall"]]
+    # 其它剩余列
+    ordered += [c for c in rest if c not in ordered]
+    return ordered
 
 # 初始化
 df = get_json_df()
@@ -69,7 +78,7 @@ categories = extract_categories_and_subs(df)
 optional_columns = [col for col in df.columns if col not in FIXED_COLUMNS]
 
 # Gradio interface
-demo = gr.Blocks(css=custom_css, title="UniGenBench Leaderboard")
+demo = gr.Blocks(css=custom_css, title="UniREditBench Leaderboard")
 
 with demo:
     gr.HTML(TITLE)
@@ -84,20 +93,21 @@ with demo:
                 label="Select additional columns to display",
                 value=optional_columns
             )
+            overall_cols = build_overall_tab_cols(df, categories)
             leaderboard_table = gr.Dataframe(
-                value=df[ALL_COLUMNS_ORDERED],
-                headers=list(df.columns),
-                datatype=["html" if col in ["Model Name (clickable)","HF Model"] else "str" for col in df.columns],
+                value=df[overall_cols],
+                headers=list(df[overall_cols].columns),
+                datatype=["html" if col in ["Model Name (clickable)","HF Model"] else "str" for col in df[overall_cols].columns],
                 interactive=False,
                 wrap=False
             )
             selected_columns_overall.change(
-                fn=update_leaderboard_overall,
-                inputs=[selected_columns_overall, gr.State(value=df)],
+                fn=lambda selected, d: d[[*FIXED_COLUMNS, *[c for c in d.columns if c in selected and c not in FIXED_COLUMNS]]],
+                inputs=[selected_columns_overall, gr.State(value=df[overall_cols])],
                 outputs=leaderboard_table
             )
 
-        # 每个大类 leaderboard
+        # 每个大类 leaderboard（保持 overall 在前，便于分组）
         for cat_name, info in categories.items():
             with gr.TabItem(f"🏆 {cat_name}", elem_id=f"tab-{cat_name}"):
                 cat_cols = [info["overall"]] + info["subs"]
@@ -117,7 +127,7 @@ with demo:
                     wrap=False
                 )
                 selected_columns_cat.change(
-                    fn=update_leaderboard_cat,
+                    fn=lambda selected, d: d[[*FIXED_COLUMNS, *[c for c in d.columns if c in selected and c not in FIXED_COLUMNS]]],
                     inputs=[selected_columns_cat, gr.State(value=cat_df)],
                     outputs=leaderboard_table_cat
                 )
@@ -126,7 +136,7 @@ with demo:
     with gr.Row():
         with gr.Column():
             gr.Markdown("## 📙 Citation")
-            gr.Markdown("If you use [UniGenBench]() in your research, please cite our work:")
+            gr.Markdown("If you use UniREditBench in your research, please cite our work:")
             citation_textbox = gr.Textbox(
                 value=CITATION_BUTTON_TEXT,
                 elem_id="citation-textbox",

leaderboard_data.json

@@ -1,2438 +1,312 @@
 {
   "leaderboard": [
     {
-      "model": "wan2.5-t2i-preview",
-      "link": "https://help.aliyun.com/zh/model-studio/text-to-image-v2-api-reference",
+      "model": "FLUX-Kontext-Pro",
+      "link": "https://fal.ai/models/fal-ai/flux-pro/kontext",
       "hf": "-",
       "open_source": false,
-      "release_date": "2025-09",
-
-      "Overall": 78.17,
-      "Style": 93.15,
-      "World Knowledge": 95.22,
-
-      "Attribute-Overall": 81.06,
-      "Quantity": 75.00,
-      "Expression": 67.95,
-      "Material": 91.04,
-      "Size": 85.29,
-      "Shape": 77.50,
-      "Color": 87.50,
-    
-      "Action-Overall": 74.23,
-      "Hand": 61.18,
-      "Full body": 75.00,
-      "Animal": 76.47,
-      "Non Contact": 75.00,
-      "Contact": 72.02,
-      "State": 82.55,
-    
-      "Relationship-Overall": 82.23,
-      "Composition": 85.14,
-      "Similarity": 75.00,
-      "Inclusion": 82.07,
-      "Comparison": 85.94,
-    
-      "Compound-Overall": 76.23,
-      "Imagination": 79.38,
-      "Feature matching": 73.04,
-    
-      "Grammar-Overall": 73.59,
-      "Pronoun Reference": 84.07,
-      "Consistency": 73.15,
-      "Negation": 63.08,
-    
-      "Layout-Overall": 77.61,
-      "2D": 75.74,
-      "3D": 79.55,
-    
-      "Logical Reasoning": 56.36,
-    
-      "Text": 71.97
-    },
-    {
-      "model": "Echo-4o",
-      "link": "https://arxiv.org/pdf/2508.09987",
-      "hf": "https://huggingface.co/Yejy53/Echo-4o",
-      "open_source": true,
-      "release_date": "2025-8",
-
-      "Overall": 69.12,
-      "Style": 92.20,
-      "World Knowledge": 90.51,
-
-      "Attribute-Overall": 79.06,
-      "Quantity": 70.14,
-      "Expression": 71.15,
-      "Material": 84.91,
-      "Size": 83.33,
-      "Shape": 68.75,
-      "Color": 98.33,
-    
-      "Action-Overall": 68.92,
-      "Hand": 66.03,
-      "Full body": 66.30,
-      "Animal": 77.94,
-      "Non Contact": 67.86,
-      "Contact": 59.52,
-      "State": 75.94,
-    
-      "Relationship-Overall": 76.52,
-      "Composition": 81.76,
-      "Similarity": 70.56,
-      "Inclusion": 77.72,
-      "Comparison": 71.09,
-    
-      "Compound-Overall": 71.78,
-      "Imagination": 76.79,
-      "Feature matching": 66.67,
-    
-      "Grammar-Overall": 75.13,
-      "Pronoun Reference": 80.51,
-      "Consistency": 74.54,
-      "Negation": 70.00,
-    
-      "Layout-Overall": 82.28,
-      "2D": 87.13,
-      "3D": 77.27,
-    
-      "Logical Reasoning": 44.77,
-    
-      "Text": 10.06
-      },
-    {
-      "model": "UniWorld-V1",
-      "link": "https://arxiv.org/pdf/2506.03147",
-      "hf": "https://huggingface.co/LanguageBind/UniWorld-V1",
-      "open_source": true,
-      "release_date": "2025-06",
-
-      "Overall": 63.11,
-      "Style": 91.10,
-      "World Knowledge": 82.91,
-
-      "Attribute-Overall": 70.62,
-      "Quantity": 70.14,
-      "Expression": 64.74,
-      "Material": 61.32,
-      "Size": 72.22,
-      "Shape": 66.25,
-      "Color": 99.17,
-    
-      "Action-Overall": 67.21,
-      "Hand": 55.13,
-      "Full body": 72.28,
-      "Animal": 73.53,
-      "Non Contact": 63.78,
-      "Contact": 61.90,
-      "State": 75.00,
-    
-      "Relationship-Overall": 67.13,
-      "Composition": 72.30,
-      "Similarity": 63.33,
-      "Inclusion": 64.67,
-      "Comparison": 64.06,
-    
-      "Compound-Overall": 54.51,
-      "Imagination": 58.16,
-      "Feature matching": 50.78,
-    
-      "Grammar-Overall": 63.77,
-      "Pronoun Reference": 74.26,
-      "Consistency": 64.35,
-      "Negation": 52.31,
-    
-      "Layout-Overall": 69.03,
-      "2D": 73.90,
-      "3D": 64.02,
-    
-      "Logical Reasoning": 38.41,
-    
-      "Text": 26.44
-    },
-    {
-      "model": "SD-3.5-Medium",
-      "link": "https://stability.ai/news/introducing-stable-diffusion-3-5",
-      "hf": "stabilityai/stable-diffusion-3.5-medium",
-      "open_source": true,
-      "release_date": "2024-10",
-
-      "Overall": 60.71,
-      "Style": 89.80,
-      "World Knowledge": 84.34,
-
-      "Attribute-Overall": 66.99,
-      "Quantity": 59.72,
-      "Expression": 51.92,
-      "Material": 67.92,
-      "Size": 70.83,
-      "Shape": 63.75,
-      "Color": 93.33,
-    
-      "Action-Overall": 60.65,
-      "Hand": 50.00,
-      "Full body": 63.04,
-      "Animal": 69.12,
-      "Non Contact": 55.61,
-      "Contact": 52.98,
-      "State": 71.70,
-    
-      "Relationship-Overall": 68.78,
-      "Composition": 74.66,
-      "Similarity": 61.67,
-      "Inclusion": 73.37,
-      "Comparison": 58.59,
-    
-      "Compound-Overall": 53.35,
-      "Imagination": 58.16,
-      "Feature matching": 48.44,
-    
-      "Grammar-Overall": 59.89,
-      "Pronoun Reference": 73.53,
-      "Consistency": 61.57,
-      "Negation": 44.23,
-    
-      "Layout-Overall": 70.34,
-      "2D": 72.06,
-      "3D": 68.56,
-    
-      "Logical Reasoning": 37.73,
-    
-      "Text": 15.23
-    },
-    {
-      "model": "Lumina-DiMOO",
-      "link": "https://synbol.github.io/Lumina-DiMOO/",
-      "hf": "https://huggingface.co/Alpha-VLLM/Lumina-DiMOO",
-      "open_source": true,
-      "release_date": "2025-09",
-
-      "Overall": 71.12,
-      "Style": 89.70,
-      "World Knowledge": 90.03,
-
-      "Attribute-Overall": 81.62,
-      "Quantity": 69.44,
-      "Expression": 85.90,
-      "Material": 81.60,
-      "Size": 76.39,
-      "Shape": 80.00,
-      "Color": 99.17,
-    
-      "Action-Overall": 73.76,
-      "Hand": 64.10,
-      "Full body": 78.80,
-      "Animal": 75.74,
-      "Non Contact": 73.98,
-      "Contact": 64.88,
-      "State": 82.08,
-    
-      "Relationship-Overall": 78.43,
-      "Composition": 83.45,
-      "Similarity": 74.44,
-      "Inclusion": 81.52,
-      "Comparison": 67.97,
-    
-      "Compound-Overall": 73.32,
-      "Imagination": 78.83,
-      "Feature matching": 67.71,
-    
-      "Grammar-Overall": 70.45,
-      "Pronoun Reference": 81.99,
-      "Consistency": 77.78,
-      "Negation": 52.31,
-    
-      "Layout-Overall": 82.84,
-      "2D": 84.93,
-      "3D": 80.68,
-    
-      "Logical Reasoning": 45.45,
-    
-      "Text": 25.57
-    },
-    {
-      "model": "MMaDA",
-      "link": "https://arxiv.org/pdf/2505.15809",
-      "hf": "https://huggingface.co/Gen-Verse/MMaDA-8B-MixCoT",
-      "open_source": true,
       "release_date": "2025-05",
-
-      "Overall": 41.35,
-      "Style": 82.40,
-      "World Knowledge": 56.65,
-
-      "Attribute-Overall": 48.93,
-      "Quantity": 45.83,
-      "Expression": 29.49,
-      "Material": 54.25,
-      "Size": 49.31,
-      "Shape": 44.38,
-      "Color": 74.17,
-    
-      "Action-Overall": 37.83,
-      "Hand": 15.38,
-      "Full body": 40.22,
-      "Animal": 52.94,
-      "Non Contact": 33.16,
-      "Contact": 25.60,
-      "State": 56.60,
-    
-      "Relationship-Overall": 50.25,
-      "Composition": 55.07,
-      "Similarity": 57.22,
-      "Inclusion": 47.28,
-      "Comparison": 33.59,
-    
-      "Compound-Overall": 32.35,
-      "Imagination": 40.56,
-      "Feature matching": 23.96,
-    
-      "Grammar-Overall": 55.75,
-      "Pronoun Reference": 59.19,
-      "Consistency": 40.28,
-      "Negation": 65.00,
-    
-      "Layout-Overall": 30.22,
-      "2D": 30.15,
-      "3D": 30.30,
-    
-      "Logical Reasoning": 17.95,
-    
-      "Text": 1.15
-    },
-    {
-      "model": "OmniGen2",
-      "link": "https://arxiv.org/pdf/2506.18871",
-      "hf": "https://huggingface.co/OmniGen2/OmniGen2",
-      "open_source": true,
-      "release_date": "2025-06",
-
-      "Overall": 63.09,
-      "Style": 91.90,
-      "World Knowledge": 86.39,
-
-      "Attribute-Overall": 72.12,
-      "Quantity": 67.36,
-      "Expression": 73.08,
-      "Material": 66.04,
-      "Size": 72.22,
-      "Shape": 66.25,
-      "Color": 95.00,
-    
-      "Action-Overall": 62.83,
-      "Hand": 55.77,
-      "Full body": 69.02,
-      "Animal": 68.38,
-      "Non Contact": 62.24,
-      "Contact": 54.17,
-      "State": 66.51,
-    
-      "Relationship-Overall": 68.27,
-      "Composition": 68.24,
-      "Similarity": 67.78,
-      "Inclusion": 71.20,
-      "Comparison": 64.84,
-    
-      "Compound-Overall": 56.31,
-      "Imagination": 62.24,
-      "Feature matching": 50.26,
-    
-      "Grammar-Overall": 59.89,
-      "Pronoun Reference": 71.32,
-      "Consistency": 60.65,
-      "Negation": 47.31,
-    
-      "Layout-Overall": 71.64,
-      "2D": 78.31,
-      "3D": 64.77,
-    
-      "Logical Reasoning": 32.50,
-    
-      "Text": 29.02
-    },
-    {
-      "model": "Infinity",
-      "link": "https://arxiv.org/pdf/2412.04431",
-      "hf": "https://huggingface.co/FoundationVision/Infinity/tree/main/infinity_8b_512x512_weights",
-      "open_source": true,
-      "release_date": "2024-12",
-
-      "Overall": 59.81,
-      "Style": 90.80,
-      "World Knowledge": 87.97,
-      "Attribute-Overall": 68.06,
-      "Quantity": 66.67,
-      "Expression": 53.21,
-      "Material": 66.04,
-      "Size": 77.78,
-      "Shape": 58.75,
-      "Color": 93.33,
-    
-      "Action-Overall": 60.17,
-      "Hand": 55.13,
-      "Full body": 65.22,
-      "Animal": 72.06,
-      "Non Contact": 58.16,
-      "Contact": 49.40,
-      "State": 62.26,
-    
-      "Relationship-Overall": 69.16,
-      "Composition": 73.31,
-      "Similarity": 65.00,
-      "Inclusion": 67.39,
-      "Comparison": 67.97,
-    
-      "Compound-Overall": 51.42,
-      "Imagination": 55.87,
-      "Feature matching": 46.88,
-    
-      "Grammar-Overall": 60.16,
-      "Pronoun Reference": 73.16,
-      "Consistency": 65.74,
-      "Negation": 41.92,
-    
-      "Layout-Overall": 66.60,
-      "2D": 71.69,
-      "3D": 61.36,
-    
-      "Logical Reasoning": 31.36,
-    
-      "Text": 12.36
-    },
-      {
-      "model": "OneCAT",
-      "link": "https://arxiv.org/pdf/2509.03498",
-      "hf": "https://huggingface.co/onecat-ai/OneCAT-3B",
-      "open_source": true,
-      "release_date": "2025-09",
-
-      "Overall": 58.28,
-      "Style": 93.30,
-      "World Knowledge": 82.28,
-
-      "Attribute-Overall": 63.46,
-      "Quantity": 59.42,
-      "Expression": 58.33,
-      "Material": 67.45,
-      "Size": 65.97,
-      "Shape": 42.50,
-      "Color": 92.50,
-    
-      "Action-Overall": 58.56,
-      "Hand": 35.90,
-      "Full body": 65.22,
-      "Animal": 69.12,
-      "Non Contact": 57.65,
-      "Contact": 48.81,
-      "State": 71.23,
-    
-      "Relationship-Overall": 68.15,
-      "Composition": 78.04,
-      "Similarity": 69.44,
-      "Inclusion": 62.50,
-      "Comparison": 51.56,
-    
-      "Compound-Overall": 56.96,
-      "Imagination": 66.33,
-      "Feature matching": 47.40,
-    
-      "Grammar-Overall": 60.83,
-      "Pronoun Reference": 70.59,
-      "Consistency": 59.72,
-      "Negation": 51.54,
-    
-      "Layout-Overall": 64.74,
-      "2D": 64.34,
-      "3D": 65.15,
-    
-      "Logical Reasoning": 33.41,
-    
-      "Text": 1.15
-    },
-        {
-      "model": "X-Omni",
-      "link": "https://arxiv.org/pdf/2507.22058",
-      "hf": "https://huggingface.co/X-Omni/X-Omni-En",
-      "open_source": true,
-      "release_date": "2025-08",
-
-      "Overall": 53.77,
-      "Style": 72.70,
-      "World Knowledge": 76.27,
-
-      "Attribute-Overall": 60.04,
-      "Quantity": 63.19,
-      "Expression": 53.21,
-      "Material": 58.96,
-      "Size": 55.56,
-      "Shape": 53.75,
-      "Color": 80.83,
-    
-      "Action-Overall": 54.47,
-      "Hand": 46.79,
-      "Full body": 56.52,
-      "Animal": 62.50,
-      "Non Contact": 56.63,
-      "Contact": 42.26,
-      "State": 60.85,
-    
-      "Relationship-Overall": 56.60,
-      "Composition": 61.82,
-      "Similarity": 56.11,
-      "Inclusion": 51.09,
-      "Comparison": 53.12,
-    
-      "Compound-Overall": 41.75,
-      "Imagination": 47.45,
-      "Feature matching": 35.94,
-    
-      "Grammar-Overall": 59.09,
-      "Pronoun Reference": 66.91,
-      "Consistency": 54.17,
-      "Negation": 55.00,
-    
-      "Layout-Overall": 62.69,
-      "2D": 69.49,
-      "3D": 55.68,
-    
-      "Logical Reasoning": 29.09,
-    
-      "Text": 25.00
-    },
-    {
-      "model": "FLUX.1-Krea-dev",
-      "link": "https://www.krea.ai/blog/flux-krea-open-source-release",
-      "hf": "https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev",
-      "open_source": true,
-      "release_date": "2025-08",
-
-      "Overall": 69.88,
-      "Style": 88.70,
-      "World Knowledge": 92.56,
-
-      "Attribute-Overall": 75.96,
-      "Quantity": 70.83,
-      "Expression": 60.90,
-      "Material": 77.36,
-      "Size": 79.17,
-      "Shape": 73.12,
-      "Color": 99.17,
-    
-      "Action-Overall": 71.01,
-      "Hand": 64.74,
-      "Full body": 70.11,
-      "Animal": 77.94,
-      "Non Contact": 72.96,
-      "Contact": 67.26,
-      "State": 73.11,
-    
-      "Relationship-Overall": 73.98,
-      "Composition": 76.35,
-      "Similarity": 66.11,
-      "Inclusion": 77.17,
-      "Comparison": 75.00,
-    
-      "Compound-Overall": 64.43,
-      "Imagination": 67.35,
-      "Feature matching": 61.46,
-    
-      "Grammar-Overall": 63.37,
-      "Pronoun Reference": 77.21,
-      "Consistency": 67.13,
-      "Negation": 45.77,
-    
-      "Layout-Overall": 84.14,
-      "2D": 86.76,
-      "3D": 81.44,
-    
-      "Logical Reasoning": 39.77,
-    
-      "Text": 44.83
-    },
-    {
-      "model": "Hunyuan-Image-2.1",
-      "link": "https://github.com/Tencent-Hunyuan/HunyuanImage-2.1",
-      "hf": "https://huggingface.co/spaces/tencent/HunyuanImage-2.1",
-      "open_source": true,
-      "release_date": "2025-09",
-
-      "Overall": 74.64,
-      "Style": 90.88,
-      "World Knowledge": 92.06,
-      "Attribute-Overall": 79.66,
-      "Quantity": 86.62,
-      "Expression": 72.44,
-      "Material": 78.77,
-      "Size": 78.47,
-      "Shape": 68.12,
-      "Color": 99.17,
-    
-      "Action-Overall": 77.81,
-      "Hand": 75.00,
-      "Full body": 80.98,
-      "Animal": 82.35,
-      "Non Contact": 73.71,
-      "Contact": 72.02,
-      "State": 82.55,
-    
-      "Relationship-Overall": 77.54,
-      "Composition": 78.38,
-      "Similarity": 70.56,
-      "Inclusion": 84.78,
-      "Comparison": 75.00,
-    
-      "Compound-Overall": 64.82,
-      "Imagination": 64.54,
-      "Feature matching": 65.10,
-    
-      "Grammar-Overall": 62.83,
-      "Pronoun Reference": 77.94,
-      "Consistency": 66.20,
-      "Negation": 44.23,
-    
-      "Layout-Overall": 84.14,
-      "2D": 86.76,
-      "3D": 81.44,
-    
-      "Logical Reasoning": 46.59,
-    
-      "Text": 70.11
-      },
-      {
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-      "Material": 53.77,
-      "Size": 43.06,
-      "Shape": 46.25,
-      "Color": 80.00,
-
-      "Action-Overall": 40.11,
-      "Hand": 25.00,
-      "Full body": 47.28,
-      "Animal": 50.74,
-      "Non Contact": 35.20,
-      "Contact": 27.98,
-      "State": 52.36,
-
-      "Relationship-Overall": 49.75,
-      "Composition": 56.76,
-      "Similarity": 46.67,
-      "Inclusion": 48.37,
-      "Comparison": 39.84,
-
-      "Compound-Overall": 36.86,
-      "Imagination": 41.33,
-      "Feature matching": 32.29,
-
-      "Grammar-Overall": 52.94,
-      "Pronoun Reference": 59.56,
-      "Consistency": 53.70,
-      "Negation": 45.38,
-
-      "Layout-Overall": 44.78,
-      "2D": 45.22,
-      "3D": 44.32,
-
-      "Logical Reasoning": 19.32,
-
-      "Text": 1.15
-    },
-    {
-      "model": "Playground2.5",
-      "link": "https://arxiv.org/pdf/2402.17245",
-      "hf": "https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic",
-      "open_source": true,
-      "release_date": "2024-02",
-
-      "Overall": 45.61,
-
-      "Style": 89.50,
-
-      "World Knowledge": 76.11,
-
-      "Attribute-Overall": 52.78,
-      "Quantity": 58.33,
-      "Expression": 43.59,
-      "Material": 57.08,
-      "Size": 44.44,
-      "Shape": 41.25,
-      "Color": 75.83,
-
-      "Action-Overall": 42.68,
-      "Hand": 28.85,
-      "Full body": 50.00,
-      "Animal": 52.21,
-      "Non Contact": 35.20,
-      "Contact": 29.17,
-      "State": 58.02,
-
-      "Relationship-Overall": 51.52,
-      "Composition": 60.14,
-      "Similarity": 49.44,
-      "Inclusion": 48.37,
-      "Comparison": 39.06,
-
-      "Compound-Overall": 35.44,
-      "Imagination": 43.88,
-      "Feature matching": 26.82,
-
-      "Grammar-Overall": 53.21,
-      "Pronoun Reference": 58.82,
-      "Consistency": 50.00,
-      "Negation": 50.00,
-
-      "Layout-Overall": 37.13,
-      "2D": 34.56,
-      "3D": 39.77,
-
-      "Logical Reasoning": 16.59,
-
-      "Text": 1.15
-    },
-    {
-      "model": "SDXL",
-      "link": "https://arxiv.org/pdf/2307.01952",
-      "hf": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0",
-      "open_source": true,
-      "release_date": "2023-07",
-
-      "Overall": 39.75,
-
-      "Style": 87.40,
-
-      "World Knowledge": 72.63,
-
-      "Attribute-Overall": 44.34,
-      "Quantity": 44.44,
-      "Expression": 25.00,
-      "Material": 52.83,
-      "Size": 44.44,
-      "Shape": 33.75,
-      "Color": 68.33,
-
-      "Action-Overall": 34.22,
-      "Hand": 19.23,
-      "Full body": 35.33,
-      "Animal": 43.38,
-      "Non Contact": 26.53,
-      "Contact": 24.40,
-      "State": 53.30,
-
-      "Relationship-Overall": 44.92,
-      "Composition": 53.72,
-      "Similarity": 38.33,
-      "Inclusion": 39.67,
-      "Comparison": 41.41,
-
-      "Compound-Overall": 26.68,
-      "Imagination": 33.93,
-      "Feature matching": 19.27,
-
-      "Grammar-Overall": 47.33,
-      "Pronoun Reference": 50.37,
-      "Consistency": 42.59,
-      "Negation": 48.08,
-
-      "Layout-Overall": 29.85,
-      "2D": 26.47,
-      "3D": 33.33,
-
-      "Logical Reasoning": 9.55,
-
-      "Text": 1.15
-    },
-    {
-      "model": "GPT-4o",
-      "link": "https://platform.openai.com/docs/guides/image-generation",
-      "hf": "-",
-      "open_source": false,
-      "release_date": "2025-03",
-
-      "Overall": 92.77,
-
-      "Style": 98.57,
-
-      "World Knowledge": 98.87,
-
-      "Attribute-Overall": 93.59,
-      "Quantity": 90.00,
-      "Expression": 94.70,
-      "Material": 94.20,
-      "Size": 91.61,
-      "Shape": 92.50,
-      "Color": 99.17,
-
-      "Action-Overall": 90.79,
-      "Hand": 89.74,
-      "Full body": 92.22,
-      "Animal": 87.12,
-      "Non Contact": 90.43,
-      "Contact": 89.82,
-      "State": 93.75,
-
-      "Relationship-Overall": 94.97,
-      "Composition": 96.23,
-      "Similarity": 95.00,
-      "Inclusion": 94.89,
-      "Comparison": 92.19,
-
-      "Compound-Overall": 93.55,
-      "Imagination": 95.64,
-      "Feature matching": 91.40,
-
-      "Grammar-Overall": 91.76,
-      "Pronoun Reference": 92.91,
-      "Consistency": 91.67,
-      "Negation": 90.57,
-
-      "Layout-Overall": 91.35,
-      "2D": 91.04,
-      "3D": 91.67,
-
-      "Logical Reasoning": 84.97,
-
-      "Text": 89.24
-    },
-    {
-      "model": "Imagen-4.0-Ultra-preview-06-06",
-      "link": "https://deepmind.google/models/imagen/",
-      "hf": "-",
-      "open_source": false,
-      "release_date": "2025-06",
-
-      "Overall": 91.54,
-
-      "Style": 99.20,
-
-      "World Knowledge": 97.47,
-
-      "Attribute-Overall": 92.52,
-      "Quantity": 93.06,
-      "Expression": 81.41,
-      "Material": 94.34,
-      "Size": 95.83,
-      "Shape": 91.88,
-      "Color": 100.0,
-
-      "Action-Overall": 92.20,
-      "Hand": 90.38,
-      "Full body": 93.44,
-      "Animal": 91.91,
-      "Non Contact": 90.31,
-      "Contact": 89.29,
-      "State": 96.70,
-
-      "Relationship-Overall": 93.02,
-      "Composition": 95.27,
-      "Similarity": 84.44,
-      "Inclusion": 98.37,
-      "Comparison": 92.19,
-
-      "Compound-Overall": 91.37,
-      "Imagination": 92.86,
-      "Feature matching": 89.84,
-
-      "Grammar-Overall": 87.97,
-      "Pronoun Reference": 94.12,
-      "Consistency": 87.04,
-      "Negation": 82.31,
-
-      "Layout-Overall": 93.10,
-      "2D": 92.65,
-      "3D": 93.56,
-
-      "Logical Reasoning": 79.55,
-
-      "Text": 89.08
-    },
-    {
-      "model": "Seedream-3.0",
-      "link": "https://www.byteplus.com/en/product/Seedream",
-      "hf": "-",
-      "open_source": false,
-      "release_date": "2025-06",
-
-      "Overall": 78.95,
-
-      "Style": 98.10,
-
-      "World Knowledge": 95.25,
-
-      "Attribute-Overall": 85.58,
-      "Quantity": 80.56,
-      "Expression": 82.05,
-      "Material": 90.57,
-      "Size": 85.42,
-      "Shape": 78.12,
-      "Color": 97.50,
-
-      "Action-Overall": 82.98,
-      "Hand": 75.00,
-      "Full body": 89.67,
-      "Animal": 85.29,
-      "Non Contact": 75.51,
-      "Contact": 80.95,
-      "State": 90.09,
-
-      "Relationship-Overall": 80.84,
-      "Composition": 82.77,
-      "Similarity": 73.89,
-      "Inclusion": 84.24,
-      "Comparison": 81.25,
-
-      "Compound-Overall": 73.84,
-      "Imagination": 78.57,
-      "Feature matching": 69.01,
-
-      "Grammar-Overall": 61.36,
-      "Pronoun Reference": 79.78,
-      "Consistency": 69.91,
-      "Negation": 35.00,
-
-      "Layout-Overall": 87.31,
-      "2D": 86.76,
-      "3D": 87.88,
-
-      "Logical Reasoning": 52.73,
-
-      "Text": 71.55
-    },
-    {
-      "model": "Imagen-3.0-generate-002",
-      "link": "https://arxiv.org/pdf/2408.07009",
-      "hf": "-",
-      "open_source": false,
-      "release_date": "2025-02",
-
-      "Overall": 71.85,
-
-      "Style": 89.25,
-
-      "World Knowledge": 94.75,
-
-      "Attribute-Overall": 77.33,
-      "Quantity": 75.78,
-      "Expression": 64.67,
-      "Material": 80.66,
-      "Size": 82.84,
-      "Shape": 70.00,
-      "Color": 93.10,
-
-      "Action-Overall": 81.46,
-      "Hand": 80.00,
-      "Full body": 83.89,
-      "Animal": 85.29,
-      "Non Contact": 77.37,
-      "Contact": 74.40,
-      "State": 87.38,
-
-      "Relationship-Overall": 82.86,
-      "Composition": 83.90,
-      "Similarity": 73.33,
-      "Inclusion": 88.64,
-      "Comparison": 83.90,
-
-      "Compound-Overall": 71.71,
-      "Imagination": 79.23,
-      "Feature matching": 64.06,
-
-      "Grammar-Overall": 69.84,
-      "Pronoun Reference": 79.04,
-      "Consistency": 70.75,
-      "Negation": 59.13,
-
-      "Layout-Overall": 81.34,
-      "2D": 82.72,
-      "3D": 79.92,
-
-      "Logical Reasoning": 48.36,
-
-      "Text": 21.55
-    },
-    {
-      "model": "DALL-E-3",
-      "link": "https://openai.com/zh-Hans-CN/index/dall-e-3/",
-      "hf": "-",
-      "open_source": false,
-      "release_date": "2023-09",
-
-      "Overall": 69.18,
-
-      "Style": 95.06,
-
-      "World Knowledge": 93.51,
-
-      "Attribute-Overall": 75.97,
-      "Quantity": 62.14,
-      "Expression": 59.87,
-      "Material": 87.74,
-      "Size": 87.50,
-      "Shape": 65.00,
-      "Color": 92.50,
-
-      "Action-Overall": 69.83,
-      "Hand": 60.90,
-      "Full body": 75.00,
-      "Animal": 76.47,
-      "Non Contact": 66.84,
-      "Contact": 63.41,
-      "State": 75.47,
-
-      "Relationship-Overall": 78.06,
-      "Composition": 82.43,
-      "Similarity": 69.44,
-      "Inclusion": 87.78,
-      "Comparison": 66.41,
-
-      "Compound-Overall": 70.60,
-      "Imagination": 76.79,
-      "Feature matching": 64.21,
-
-      "Grammar-Overall": 68.07,
-      "Pronoun Reference": 74.24,
-      "Consistency": 74.07,
-      "Negation": 56.64,
-
-      "Layout-Overall": 66.67,
-      "2D": 57.72,
-      "3D": 76.17,
-
-      "Logical Reasoning": 48.18,
-
-      "Text": 25.86
-    },
-    {
-      "model": "FLUX-pro-1.1-Ultra",
-      "link": "https://bfl.ai/",
-      "hf": "-",
-      "open_source": false,
-      "release_date": "2024-11",
-
-      "Overall": 70.67,
-
-      "Style": 90.60,
-
-      "World Knowledge": 91.61,
-
-      "Attribute-Overall": 76.50,
-      "Quantity": 75.69,
-      "Expression": 59.62,
-      "Material": 78.77,
-      "Size": 77.78,
-      "Shape": 74.38,
-      "Color": 96.67,
-
-      "Action-Overall": 76.50,
-      "Hand": 57.69,
-      "Full body": 68.48,
-      "Animal": 77.21,
-      "Non Contact": 76.53,
-      "Contact": 64.29,
-      "State": 76.89,
-
-      "Relationship-Overall": 77.54,
-      "Composition": 80.41,
-      "Similarity": 72.78,
-      "Inclusion": 82.07,
-      "Comparison": 71.09,
-
-      "Compound-Overall": 67.78,
-      "Imagination": 74.74,
-      "Feature matching": 60.68,
-
-      "Grammar-Overall": 70.05,
-      "Pronoun Reference": 84.56,
-      "Consistency": 68.98,
-      "Negation": 55.77,
-
-      "Layout-Overall": 81.53,
-      "2D": 80.15,
-      "3D": 82.95,
-
-      "Logical Reasoning": 43.18,
-
-      "Text": 37.36
-    },
-    {
-      "model": "Keling-Ketu",
-      "link": "https://kolors.kuaishou.com/",
-      "hf": "-",
-      "open_source": false,
-      "release_date": "2025-04",
-
-      "Overall": 65.93,
-
-      "Style": 92.27,
-
-      "World Knowledge": 86.62,
-
-      "Attribute-Overall": 71.66,
-      "Quantity": 75.00,
-      "Expression": 56.41,
-      "Material": 78.77,
-      "Size": 79.17,
-      "Shape": 53.12,
-      "Color": 91.38,
-
-      "Action-Overall": 68.73,
-      "Hand": 54.49,
-      "Full body": 76.09,
-      "Animal": 72.79,
-      "Non Contact": 69.90,
-      "Contact": 58.93,
-      "State": 76.89,
-
-      "Relationship-Overall": 70.94,
-      "Composition": 68.92,
-      "Similarity": 70.56,
-      "Inclusion": 74.46,
-      "Comparison": 71.09,
-
-      "Compound-Overall": 60.81,
-      "Imagination": 66.24,
-      "Feature matching": 55.26,
-
-      "Grammar-Overall": 71.26,
-      "Pronoun Reference": 77.21,
-      "Consistency": 67.59,
-      "Negation": 68.08,
-
-      "Layout-Overall": 77.23,
-      "2D": 80.97,
-      "3D": 73.36,
-
-      "Logical Reasoning": 43.75,
-
-      "Text": 16.03
-    },
-    {
-      "model": "Qwen-Image",
+      "Overall": 51.25,
+      "Real-World-Overall": 58.04,
+      "Viewpoint Transformation": 58.38,
+      "Material Modification": 64.15,
+      "Pose Adjustment": 63.38,
+      "Temporal Evolution": 56.27,
+      "Structural Integrity Change": 54.4,
+      "Motion State Change": 58.63,
+      "Spatial Arrangement": 48.82,
+      "Mechanical Reaction": 56.47,
+      "Medium Interaction": 57.75,
+      "Game-World-Overall": 48.28,
+      "3D Reconstruction": 65.65,
+      "Space Invader": 47.3,
+      "Jewel2": 42.12,
+      "Pacman": 40.97,
+      "Word Search": 47.8,
+      "Tictactoe": 40.35,
+      "Sudoku": 32.4,
+      "Maze": 48.83,
+      "Sokoban": 38.8
+    },
+    {
+      "model": "Qwen-Image-Edit",
       "link": "https://arxiv.org/pdf/2508.02324",
-      "hf": "https://huggingface.co/Qwen/Qwen-Image",
+      "hf": "https://huggingface.co/Qwen/Qwen-Image-Edit",
       "open_source": true,
       "release_date": "2025-08",
-
-      "Overall": 78.81,
-
-      "Style": 95.10,
-
-      "World Knowledge": 94.30,
-
-      "Attribute-Overall": 87.61,
-      "Quantity": 81.94,
-      "Expression": 84.62,
-      "Material": 91.98,
-      "Size": 84.03,
-      "Shape": 84.38,
-      "Color": 99.17,
-
-      "Action-Overall": 84.13,
-      "Hand": 82.05,
-      "Full body": 88.59,
-      "Animal": 88.24,
-      "Non Contact": 80.61,
-      "Contact": 77.38,
-      "State": 87.74,
-
-      "Relationship-Overall": 79.70,
-      "Composition": 81.76,
-      "Similarity": 67.78,
-      "Inclusion": 86.96,
-      "Comparison": 81.25,
-
-      "Compound-Overall": 73.32,
-      "Imagination": 73.21,
-      "Feature matching": 73.44,
-
-      "Grammar-Overall": 60.29,
-      "Pronoun Reference": 83.82,
-      "Consistency": 70.37,
-      "Negation": 27.31,
-
-      "Layout-Overall": 85.52,
-      "2D": 86.40,
-      "3D": 85.23,
-
-      "Logical Reasoning": 53.64,
-
-      "Text": 76.14
+      "Overall": 56.46,
+      "Real-World-Overall": 71.92,
+      "Viewpoint Transformation": 72.08,
+      "Material Modification": 78.31,
+      "Pose Adjustment": 81.75,
+      "Temporal Evolution": 64.57,
+      "Structural Integrity Change": 68.78,
+      "Motion State Change": 69.51,
+      "Spatial Arrangement": 77.12,
+      "Mechanical Reaction": 67.83,
+      "Medium Interaction": 67.25,
+      "Game-World-Overall": 44.22,
+      "3D Reconstruction": 57.03,
+      "Space Invader": 36.58,
+      "Jewel2": 37.79,
+      "Pacman": 30.02,
+      "Word Search": 48.47,
+      "Tictactoe": 33.0,
+      "Sudoku": 31.63,
+      "Maze": 60.02,
+      "Sokoban": 34.71
+    },
+    {
+      "model": "UniREdit-Bagel(Ours)",
+      "link": "-",
+      "hf": "https://huggingface.co/maplebb/UniREdit-Bagel",
+      "open_source": true,
+      "release_date": "2025-11",
+      "Overall": 78.87,
+      "Real-World-Overall": 76.52,
+      "Viewpoint Transformation": 84.43,
+      "Material Modification": 74.06,
+      "Pose Adjustment": 85.13,
+      "Temporal Evolution": 72.08,
+      "Structural Integrity Change": 74.31,
+      "Motion State Change": 71.95,
+      "Spatial Arrangement": 83.05,
+      "Mechanical Reaction": 71.17,
+      "Medium Interaction": 72.45,
+      "Game-World-Overall": 82.27,
+      "3D Reconstruction": 84.93,
+      "Space Invader": 86.93,
+      "Jewel2": 61.25,
+      "Pacman": 73.76,
+      "Word Search": 87.48,
+      "Tictactoe": 70.65,
+      "Sudoku": 93.9,
+      "Maze": 97.73,
+      "Sokoban": 74.55
     }
   ]
-}
+}

src/about.py

@@ -21,23 +21,35 @@ NUM_FEWSHOT = 0 # Change with your few shot
 
 
 # Your leaderboard name
-TITLE = """<h1 align="center" id="space-title">🥇 <a href="https://github.com/CodeGoat24/UniGenBench" target="_blank">UniGenBench</a> Leaderboard (English)</h1> """
+TITLE = """<h1 align="center" id="space-title">🥇 <a href="https://github.com/Maplebb/UniREditBench" target="_blank">UniREditBench</a> Leaderboard</h1> """
 
 # Links and conference info
+# LINKS_AND_INFO = """
+# <div align="center">
+# <p><a href="https://hunyuan.tencent.com/" target="_blank">Hunyuan</a>, Tencent</p> <br>
+
+# <a href="https://maplebb.github.io/UniREditBench" target="_blank">🏠 Homepage</a> | 
+# <a href="https://arxiv.org/pdf/2510.18701" target="_blank">📄 arXiv Paper</a> |
+# <a href="https://huggingface.co/datasets/CodeGoat24/UniREditBench/tree/main">😊 Huggingface</a>
+
+# <a href="https://github.com/Maplebb/UniREditBench" target="_blank" rel="noopener noreferrer"><img alt="Code" src="https://img.shields.io/github/stars/CodeGoat24/UniREditBench.svg?style=social&amp;label=Official"></a>
+
+# 🏅 <a href="https://huggingface.co/spaces/CodeGoat24/UniREditBench_Leaderboard"><b>Leaderboard</b>(English)</a> | 
+# <a href="https://huggingface.co/spaces/CodeGoat24/UniREditBench_Leaderboard_Chinese"><b>Leaderboard</b>(Chinese)</a> | 
+# <a href="https://huggingface.co/spaces/CodeGoat24/UniREditBench_Leaderboard_English_Long"><b>Leaderboard</b>(English Long)</a> | 
+# <a href="https://huggingface.co/spaces/CodeGoat24/UniREditBench_Leaderboard_Chinese_Long"><b>Leaderboard</b>(Chinese Long)</a> 🏅
+
+
+
+# </div>
+# """
 LINKS_AND_INFO = """
 <div align="center">
-<p><a href="https://hunyuan.tencent.com/" target="_blank">Hunyuan</a>, Tencent</p> <br>
-
-<a href="https://codegoat24.github.io/UniGenBench" target="_blank">🏠 Homepage</a> | 
-<a href="https://arxiv.org/pdf/2510.18701" target="_blank">📄 arXiv Paper</a> |
-<a href="https://huggingface.co/datasets/CodeGoat24/UniGenBench/tree/main">😊 Huggingface</a>
 
-<a href="https://github.com/CodeGoat24/UniGenBench" target="_blank" rel="noopener noreferrer"><img alt="Code" src="https://img.shields.io/github/stars/CodeGoat24/UniGenBench.svg?style=social&amp;label=Official"></a>
+<a href="https://maplebb.github.io/UniREditBench" target="_blank">🏠 Homepage</a> | 
+<a href="https://huggingface.co/datasets/maplebb/UniREditBench/tree/main">😊 Huggingface</a>
 
-🏅 <a href="https://huggingface.co/spaces/CodeGoat24/UniGenBench_Leaderboard"><b>Leaderboard</b>(English)</a> | 
-<a href="https://huggingface.co/spaces/CodeGoat24/UniGenBench_Leaderboard_Chinese"><b>Leaderboard</b>(Chinese)</a> | 
-<a href="https://huggingface.co/spaces/CodeGoat24/UniGenBench_Leaderboard_English_Long"><b>Leaderboard</b>(English Long)</a> | 
-<a href="https://huggingface.co/spaces/CodeGoat24/UniGenBench_Leaderboard_Chinese_Long"><b>Leaderboard</b>(Chinese Long)</a> 🏅
+<a href="https://github.com/Maplebb/UniREditBench" target="_blank" rel="noopener noreferrer"><img alt="Code" src="https://img.shields.io/github/stars/Maplebb/UniREditBench.svg?style=social&amp;label=Official"></a>
 
 
 
@@ -46,13 +58,11 @@ LINKS_AND_INFO = """
 
 # What does your leaderboard evaluate?
 INTRODUCTION_TEXT = """
-📚 [UniGenBench](https://github.com/CodeGoat24/UniGenBench) is a unified benchmark for T2I generation that integrates diverse prompt themes with a comprehensive suite of fine-grained evaluation criteria. 
+📚 [UniREditBench](https://github.com/Maplebb/UniREditBench) is a unified benchmark for reasoning-base image editing that integrates diverse prompt themes with a comprehensive suite of dual-reference evaluation pipeline. 
 
-🔧 You can use the official [GitHub repo](https://github.com/CodeGoat24/UniGenBench) to evaluate your model on [UniGenBench](https://github.com/CodeGoat24/UniGenBench).
+🔧 You can use the official [GitHub repo](https://github.com/Maplebb/UniREditBench) to evaluate your model on [UniREditBench](https://github.com/Maplebb/UniREditBench).
 
-😊 We release **all generated images from the T2I models** evaluated in our UniGenBench on [UniGenBench-Eval-Images](https://huggingface.co/datasets/CodeGoat24/UniGenBench-Eval-Images). Feel free to use any evaluation model that is convenient and suitable for you to assess and compare the performance of your models.
-
-📝 To add your own model to the leaderboard, please send an Email to [Yibin Wang](https://codegoat24.github.io/), then we will help with the evaluation and updating the leaderboard.
+📝 To add your own model to the leaderboard, please send an Email to [Feng Han]([email protected]) and [Yibin Wang](https://codegoat24.github.io/), then we will help with the evaluation and updating the leaderboard.
 
 """
 
@@ -60,19 +70,20 @@ INTRODUCTION_TEXT = """
 
 
 CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
-CITATION_BUTTON_TEXT = r"""
-@article{UniGenBench++,
-  title={UniGenBench++: A Unified Semantic Evaluation Benchmark for Text-to-Image Generation},
-  author={Wang, Yibin and Li, Zhimin and Zang, Yuhang and Bu, Jiazi and Zhou, Yujie and Xin, Yi and He, Junjun and Wang, Chunyu and Lu, Qinglin and Jin, Cheng and others},
-  journal={arXiv preprint arXiv:2510.18701},
-  year={2025}
-}
-
-
-@article{UniGenBench&Pref-GRPO,
-  title={Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning},
-  author={Wang, Yibin and Li, Zhimin and Zang, Yuhang and Zhou, Yujie and Bu, Jiazi and Wang, Chunyu and Lu, Qinglin and Jin, Cheng and Wang, Jiaqi},
-  journal={arXiv preprint arXiv:2508.20751},
-  year={2025}
-}
-"""
+# CITATION_BUTTON_TEXT = r"""
+# @article{UniREditBench++,
+#   title={UniREditBench++: A Unified Semantic Evaluation Benchmark for Text-to-Image Generation},
+#   author={Wang, Yibin and Li, Zhimin and Zang, Yuhang and Bu, Jiazi and Zhou, Yujie and Xin, Yi and He, Junjun and Wang, Chunyu and Lu, Qinglin and Jin, Cheng and others},
+#   journal={arXiv preprint arXiv:2510.18701},
+#   year={2025}
+# }
+
+
+# @article{UniREditBench&Pref-GRPO,
+#   title={Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning},
+#   author={Wang, Yibin and Li, Zhimin and Zang, Yuhang and Zhou, Yujie and Bu, Jiazi and Wang, Chunyu and Lu, Qinglin and Jin, Cheng and Wang, Jiaqi},
+#   journal={arXiv preprint arXiv:2508.20751},
+#   year={2025}
+# }
+# """
+CITATION_BUTTON_TEXT = r""""""

src/json_leaderboard.py

@@ -1,7 +1,6 @@
+
 import json
 import pandas as pd
-from pathlib import Path
-
 
 def load_leaderboard_from_json(json_path="leaderboard_data.json"):
     """Load leaderboard data from JSON file"""
@@ -16,99 +15,65 @@ def load_leaderboard_from_json(json_path="leaderboard_data.json"):
         print(f"Error decoding JSON file {json_path}")
         return []
 
-
 def create_leaderboard_df(json_path="leaderboard_data.json"):
-    """Create a pandas DataFrame from JSON leaderboard data"""
+    """Create a pandas DataFrame from JSON leaderboard data (dynamic columns)."""
     leaderboard_data = load_leaderboard_from_json(json_path)
-    
     if not leaderboard_data:
         return pd.DataFrame()
-    
-    # Convert to DataFrame
-    df = pd.DataFrame(leaderboard_data)
-    
-    # Sort by ACC score (descending)
-    df = df.sort_values('Overall', ascending=False).reset_index(drop=True)
-    
-    # Add ranking icons and make model names clickable links to papers
-    def add_ranking_icon_and_link(index, model_name, paper_link):
-        if index == 0:
-            return f'🥇 <a href="{paper_link}" target="_blank">{model_name}</a>'
-        elif index == 1:
-            return f'🥈 <a href="{paper_link}" target="_blank">{model_name}</a>'
-        elif index == 2:
-            return f'🥉 <a href="{paper_link}" target="_blank">{model_name}</a>'
-        else:
-            return f'<a href="{paper_link}" target="_blank">{model_name}</a>'
-    
-    # Format the DataFrame for display
-    display_df = pd.DataFrame({
-    'Model Name (clickable)': [add_ranking_icon_and_link(i, model, link) for i, (model, link) in enumerate(zip(df['model'], df['link']))],
-    'Release Date': df['release_date'],
-    'HF Model': df['hf'].apply(lambda x: f'<a href="{x}" target="_blank">🤗</a>' if x != "-" else "-"),
-    'Open Source': df['open_source'].apply(lambda x: '✓' if x else '✗'),
 
-    'Overall': df['Overall'].apply(lambda x: f"{x:.2f}"),
-
-    'Style': df['Style'].apply(lambda x: f"{x:.2f}"),
+    df = pd.DataFrame(leaderboard_data)
 
-    'World Knowledge': df['World Knowledge'].apply(lambda x: f"{x:.2f}"),
-        
-    'Logical Reasoning': df['Logical Reasoning'].apply(lambda x: f"{x:.2f}"),
+    # Sort by Overall if present
+    if 'Overall' in df.columns:
+        df = df.sort_values('Overall', ascending=False).reset_index(drop=True)
+    else:
+        df = df.reset_index(drop=True)
 
-    'Text': df['Text'].apply(lambda x: f"{x:.2f}"),
+    meta_cols = ['model', 'link', 'hf', 'open_source', 'release_date']
+    score_cols = [c for c in df.columns if c not in meta_cols]
 
-    'Attribute-Overall': df['Attribute-Overall'].apply(lambda x: f"{x:.2f}"),
-    'Quantity': df['Quantity'].apply(lambda x: f"{x:.2f}"),
-    'Expression': df['Expression'].apply(lambda x: f"{x:.2f}"),
-    'Material': df['Material'].apply(lambda x: f"{x:.2f}"),
-    'Size': df['Size'].apply(lambda x: f"{x:.2f}"),
-    'Shape': df['Shape'].apply(lambda x: f"{x:.2f}"),
-    'Color': df['Color'].apply(lambda x: f"{x:.2f}"),
+    # Keep "Overall" first if present, then the rest in file order
+    ordered_score_cols = []
+    if 'Overall' in score_cols:
+        ordered_score_cols.append('Overall')
+    ordered_score_cols += [c for c in score_cols if c != 'Overall']
 
-    'Action-Overall': df['Action-Overall'].apply(lambda x: f"{x:.2f}"),
-    'Hand': df['Hand'].apply(lambda x: f"{x:.2f}"),
-    'Full body': df['Full body'].apply(lambda x: f"{x:.2f}"),
-    'Animal': df['Animal'].apply(lambda x: f"{x:.2f}"),
-    'Non Contact': df['Non Contact'].apply(lambda x: f"{x:.2f}"),
-    'Contact': df['Contact'].apply(lambda x: f"{x:.2f}"),
-    'State': df['State'].apply(lambda x: f"{x:.2f}"),
-        
-    'Relationship-Overall': df['Relationship-Overall'].apply(lambda x: f"{x:.2f}"),
-    'Composition': df['Composition'].apply(lambda x: f"{x:.2f}"),
-    'Similarity': df['Similarity'].apply(lambda x: f"{x:.2f}"),
-    'Inclusion': df['Inclusion'].apply(lambda x: f"{x:.2f}"),
-    'Comparison': df['Comparison'].apply(lambda x: f"{x:.2f}"),
+    def add_ranking_icon_and_link(idx, row):
+        model_name = row.get('model', 'N/A')
+        paper_link = row.get('link', '-') or '-'
+        anchor = f'<a href="{paper_link}" target="_blank">{model_name}</a>' if paper_link and paper_link != '-' else model_name
+        if idx == 0:
+            return f'🥇 {anchor}'
+        elif idx == 1:
+            return f'🥈 {anchor}'
+        elif idx == 2:
+            return f'🥉 {anchor}'
+        else:
+            return anchor
 
-    'Compound-Overall': df['Compound-Overall'].apply(lambda x: f"{x:.2f}"),
-    'Imagination': df['Imagination'].apply(lambda x: f"{x:.2f}"),
-    'Feature matching': df['Feature matching'].apply(lambda x: f"{x:.2f}"),
+    # Base display columns
+    display_df = pd.DataFrame({
+        'Model Name (clickable)': [add_ranking_icon_and_link(i, r) for i, r in df.iterrows()],
+        'Release Date': df.get('release_date', '-'),
+        'HF Model': df.get('hf', '-').apply(lambda x: f'<a href="{x}" target="_blank">🤗</a>' if isinstance(x, str) and x != "-" else "-"),
+        'Open Source': df.get('open_source', False).apply(lambda x: '✓' if bool(x) else '✗'),
+    })
 
-    'Grammar-Overall': df['Grammar-Overall'].apply(lambda x: f"{x:.2f}"),
-    'Pronoun Reference': df['Pronoun Reference'].apply(lambda x: f"{x:.2f}"),
-    'Consistency': df['Consistency'].apply(lambda x: f"{x:.2f}"),
-    'Negation': df['Negation'].apply(lambda x: f"{x:.2f}"),
+    # Append each score column with 2-decimal formatting
+    for col in ordered_score_cols:
+        col_vals = pd.to_numeric(df[col], errors='coerce')
+        display_df[col] = col_vals.map(lambda x: f"{x:.2f}" if pd.notnull(x) else "-")
 
-    'Layout-Overall': df['Layout-Overall'].apply(lambda x: f"{x:.2f}"),
-    'Two-dimensional': df['2D'].apply(lambda x: f"{x:.2f}"),
-    'Three-dimensional': df['3D'].apply(lambda x: f"{x:.2f}"),
-})
-    
     return display_df
 
-
 def get_leaderboard_stats(json_path="leaderboard_data.json"):
     """Get statistics about the leaderboard"""
     leaderboard_data = load_leaderboard_from_json(json_path)
-    
     if not leaderboard_data:
         return {}
-    
     df = pd.DataFrame(leaderboard_data)
-    
     stats = {
         'total_models': len(df),
-        'open_source_models': df['open_source'].sum(),
+        'open_source_models': int(df['open_source'].sum()) if 'open_source' in df.columns else 0,
     }
-    
     return stats