Update README.md

README.md

@@ -4,14 +4,14 @@ license: apache-2.0
 
 # Seed2Scale Multi-GPU Data Generation Results
 
-This folder presents a real multi-GPU Seed2Scale data generation experiment conducted on a single workstation. The results summarize both **data generation throughput** and **trajectory quality** under different GPU configurations, with all reported trajectories generated within approximately 24 hours per configuration.
+This folder presents a real multi-GPU Seed2Scale data generation experiment conducted on a single workstation. The results summarize both **data generation throughput** and **trajectory quality** under different GPU configurations, with all reported trajectories generated within 24 hours per configuration.
 
 The experiment is defined by the following task setup:
 
 - **Scene**: Kitchen Scene
 - **Embodiment / Policy**: AgiBotA2 · SmolVLA
 - **Instruction**: *Pick up the red potato chip and place it into the yellow basket*
-- **Generation Window**: ~24 hours per configuration
+- **Generation Window**: 24 hours per configuration
 
 In addition to aggregated metrics, this folder also includes a trajectory replay demo together with visual summaries of scaling efficiency, collection accuracy, data volume, per-GPU load balance, and spatial sampling coverage.