screenshot update

app.py

@@ -12,26 +12,27 @@ from src.about import (
 
 data = {
     "Method": [
-        "Handwritten LOTUS (Llama-3.1-70B)",
-        "Zero-shot Text2SQL (Llama-3.1-70B)",
-        "Zero-shot Text2SQL + LM Generation (Llama-3.1-70B)",
+        #"Handwritten LOTUS (Llama-3.1-70B)",
+        #"Zero-shot Text2SQL (Llama-3.1-70B)",
+        #"Zero-shot Text2SQL + LM Generation (Llama-3.1-70B)",
         "RAG (E5) (Llama-3.1-70B)",
         "RAG (E5) + LM Rerank (Llama-3.1-70B)",
         "Handwritten LOTUS (GPT-4o)",
         "Zero-shot Text2SQL (GPT-4o)",
-        "Zero-shot Text2SQL + LM Generation (GPT-4o)",
+       # "Zero-shot Text2SQL + LM Generation (GPT-4o)",
         "RAG (GPT-4o)",
         "RAG (E5) + LM Rerank (GPT-4o)",
         "Handwritten LOTUS (o3-mini)",
         "Zero-shot Text2SQL (o3-mini)",
-        "Zero-shot Text2SQL + LM Generation (o3-mini)",
+        #"Zero-shot Text2SQL + LM Generation (o3-mini)",
         "RAG (o3-mini)",
         "RAG (E5) + LM Rerank (o3-mini)",
-        "Zero-shot Text2SQL (Deepseek-r1)",
-        "Zero-shot Text2SQL + LM Generation (Deepseek-r1)",
+        "Zero-shot Text2SQL (Deepseek-R1)",
+        #"Zero-shot Text2SQL + LM Generation (Deepseek-R1)",
     ],
     # "Model": ["meta-llama/Llama-3.1-70B"] * 5,
-    "Execution Accuracy": [55.0, 17.0, 13.0, 0.0, 2.0, 55.0, 18.0, 15.0, 3.0, 3.0, 65.0, 18.0, 30.0, 7.0, 7.0, 12.0, 0.0],
+    # "Execution Accuracy": [55.0, 17.0, 13.0, 0.0, 2.0, 55.0, 18.0, 15.0, 3.0, 3.0, 65.0, 18.0, 30.0, 7.0, 7.0, 12.0, 0.0],
+    "Execution Accuracy": [0.0, 2.0, 55.0, 18.0, 3.0, 3.0, 65.0, 18.0, 7.0, 7.0, 12.0],
 }
 
 leaderboard_df = pd.DataFrame(data)