Update README.md

README.md

@@ -20,7 +20,7 @@ GS2E addresses this gap by synthesizing event data from sparse, static RGB image
 
 The dataset includes:
 
-* **21 distinct scenes**, each with **3** corresponding event sequences under **varying blur levels** (slight, medium, and severe)
+**21 distinct scenes**, each with **3** corresponding event sequences under **varying blur levels** (slight, medium, and severe)
 <!-- * **21 multi-view event sequences** across **7 scenes** and **3 blur levels** (slight/medium/severe) -->
 * Per-frame photorealistic RGB renderings (clean and motion-blurred)
 * Ground truth camera poses
@@ -43,7 +43,7 @@ This synthetic event dataset is organized by scene, with each scene directory co
 |-----------------------------|---------------------------|------------------------------------------------------|
 | `images/`                   | RGB image sequence        | Sharp, high-resolution ground truth RGB frames       |
 | `images_blur_<level>/`      | Blurred RGB image sequence| Images with different degrees of artificial blur     |
-| `sparse/`                   | COLMAP sparse model       | Contains `cameras.txt`, `images.txt`, `points3D.txt` |
+| `sparse/`                   | COLMAP sparse model       | Contains `cameras.bin`, `images.bin`, `points3D.bin` |
 | `events.h5`                 | Event data (HDF5)         | Compressed event stream as (t, x, y, p)              |
 
 - The `events.h5` file stores events in the format: