table

app.py

@@ -6,13 +6,18 @@ from io import StringIO
 # Creating a sample dataframe
 df = pd.DataFrame({
     "Rank" : [1, 2, 3, 4, 5], 
-    "Detector" : ["""Roberta Detector\n(Numo et al.)\n<a href='https://www.google.de' style="color:blue">Google</a>""", """LLM Detector
-*(Numo et al.)*  
-<span style="color:blue">[Google](https://www.google.de)</span>
-""", "", "", ""], 
-    "All Gen. [F1]" : [20, 20, 8, 8, 7], 
-    "Llama-2 7B Gen. [F1]" : [14, 3, 6, 2, 6], 
-    "GPT-4 Gen. [F1]" : [23, 45, 2, 32, 2]
+    "Detector" : [
+       """ChatGPT_QA\n(Antoun et al., 2023)\n<a href='https://www.google.de' style="color:blue">Paper</a>""",
+       """XMLMR_ChatGPT\n(Guo et al., 2023)\n<a href='https://www.google.de' style="color:blue">Paper</a>""",
+       """LLMDET\n(Liu et al., 2019)\n<a href='https://www.google.de' style="color:blue">Paper</a>""",
+       """Radar_Vicuna7B\n(Hu et al, 2023)\n<a href='https://www.google.de' style="color:blue">Paper</a>""",
+       """GPTZero\n(Numo et al.)\n<a href='https://www.google.de' style="color:blue">WebApp</a>""",
+      ], 
+    "All Gen. [F1]" : [0.723, 0.563, 0.736, 0.635, 0.464], 
+    "Llama-2 7B Gen. [F1]" : [0.719, 0.636, 0.622, 0.722, 0.777], 
+    "GPT-4 Gen. [F1]" : [0.673, 0.435, 0.362, 0.232, 0.562],
+    "GPT-3 Gen. [F1]" : [0.374, 0.335, 0.232, 0.632, 0.533],
+    "Falcon 7B Gen. [F1]" : [0.445, 0.454, 0.646, 0.665, 0.464]
 })