some rewriting2.

src/pages/index.astro

@@ -322,17 +322,17 @@ const metadata = {
           "SCOPE is the most comprehensive synthetic collective perception dataset. It is the first dataset with realistic LiDAR sensor models including a solid state LiDAR and weather simulations for camera and LiDAR. Moreover, in contrast to other publicly available datasets vulnerable road users are included.",
       },
       {
-        title: 'How many frames does SCOPE consist of?',
+        title: 'How many Frames does SCOPE consist of?',
         description:
           "SCOPE consists of 44 scenarios with a scenario length of 100 frames (10s) with four environmental conditions each. This results in a total of 17,600 frames.",
       },
       {
-        title: 'What is the Train/Test Split?',
+        title: 'What is the Train/Validation/Test Split?',
         description:
           'SCOPE consists of 12,320 frames for training, 1,760 frames for validation and 3,520 frames for testing.',
       },
       {
-        title: 'How many sensors/vehicles are present in the dataset?',
+        title: 'How many Sensors/Vehicles are present in the Dataset?',
         description:
           "Vehicles and Roadside Untis are equipped with sensors. The scenarios contain up to 24 collaborative agents (20 CAVs + 4 RSUs) and up to 60 further road users as passive traffic.",
       },
@@ -342,7 +342,7 @@ const metadata = {
           "SCOPE was created by Jörg Gamerdinger and Sven Teufel (PhD students @ University of Tübingen), assistent by Stephan Amann, Jan-Patrick Kirchner and Süleyman Simsek (BSc./MSc. students). The work was supervised by Prof. Oliver Bringmann (Head of Embedded Systems Group, University of Tübingen)",
       },
       {
-        title: 'How to cite this work?',
+        title: 'How to cite this Work?',
         description:
           "BibTex entry will follow",
       },