update README

README.md

@@ -33,7 +33,7 @@ huggingface-cli download allenai/PointMotionBench \
 
 ### Step 2 — DAVIS: Download Videos
 
-We do not share videos from DAVIS. Download **Trainval 2017 - Images (480p)** and **Annotations** from the [official source](https://davischallenge.org/davis2017/code.html), then convert frames to mp4 (requires `ffmpeg`):
+DAVIS videos should be reconstructed from the source data at the [official source](https://davischallenge.org/davis2017/code.html). Download **Trainval 2017 - Images (480p)** and **Annotations**, then convert frames to mp4 (requires `ffmpeg`):
 
 ```bash
 python davis/reconstruct_davis.py \
@@ -45,7 +45,7 @@ python davis/reconstruct_davis.py \
 
 ### Step 3 — HOT3D: Download Videos
 
-We do not share videos from HOT3D. Users should access the videos from the source dataset at [bop-benchmark/hot3d](https://huggingface.co/datasets/bop-benchmark/hot3d) (HuggingFace).
+HOT3D videos should be reconstructed from the source data at [bop-benchmark/hot3d](https://huggingface.co/datasets/bop-benchmark/hot3d) (HuggingFace).
 
 **Requirements:** `huggingface_hub`, `imageio[ffmpeg]`, `imageio-ffmpeg`, `opencv-python-headless`, `numpy`
 
@@ -68,7 +68,7 @@ python hot3d/extract_rgbs.py \
 
 ---
 
-### Step 4 — WorldTrack: extract clips
+### Step 4 — WorldTrack: Reconstruct Clips
 
 Download the WorldTrack source data (WorldTrack benchmark, introduced in St4RTrack, Feng et al., ICCV 2025 — dataset download available at [HavenFeng/St4RTrack](https://github.com/HavenFeng/St4RTrack)). The source data should have this layout: