Update README.md

README.md

@@ -44,7 +44,7 @@ Project links:
 
 SparseVideoNav studies real-world vision-language navigation with sparse future video generation. The datasets contain language instructions, RGB frame sequences, and low-level navigation actions. The number of actions matches the number of RGB frames for every released episode.
 
-Due to policy restrictions, this public release contains the policy-compliant subset of the collected real-world data. At the released sampling rate of **4 fps**, the open-sourced subset contains **about 98 hours** of navigation data.
+Due to policy restrictions, this public release contains the policy-compliant subset of the collected real-world data. At the released sampling rate of **4 fps**, the open-sourced subset contains **about 100 hours** of navigation data.
 
 | Subset | Episodes | RGB frames | Duration @ 4 fps | Task |
 | --- | ---: | ---: | ---: | --- |
@@ -52,8 +52,6 @@ Due to policy restrictions, this public release contains the policy-compliant su
 | `ifn` | 5,625 | 712,290 | 49.46 h | Instruction-Following Navigation |
 | **Total** | **11,042** | **1,407,663** | **97.75 h** | - |
 
-Duration is computed as `num_frames / 4 / 3600`.
-
 ## Repository Structure
 
 Images are stored in compressed tar shards to avoid hundreds of thousands of small files in the Hugging Face repository. Each shard preserves the original relative paths.