Update README.md

README.md

@@ -21,7 +21,7 @@ NVIDIA Corporation
 05/09/2025
 
 ## License/Terms of Use:
-CC BY 4.0
+This dataset is governed by the Creative Commons Attribution 4.0 International License (CC-BY-4.0).
 
 ## Intended Usage:
 This dataset is intended for:
@@ -37,7 +37,7 @@ This dataset is intended for:
 - Automatic/Sensors
 - Synthetic
   
-5 human teleoperated demonstrations are collected thru Apple Vision Pro in Isaac Lab. All 1,000 demos are generated automatically using a synthetic motion trajectory generation framework, Mimicgen [1]. Each demo is generated at 20 Hz.
+5 human teleoperated demonstrations are collected through Apple Vision Pro in Isaac Lab. All 1,000 demos are generated automatically using a synthetic motion trajectory generation framework, Mimicgen [1]. Each demo is generated at 20 Hz.
 
 ### Labeling Method
 
@@ -64,7 +64,7 @@ Each demo in GR00T-Lerobot datasets consists of a time-indexed sequence of the f
 ### Videos
 - 256 x 256 RGB videos in mp4 format from first-person-view camera
 
-Together with a set of metadata describing the followings,
+In additional, a set of metadata describing the followings is provided,
 - `episodes.jsonl` contains a list of all the episodes in the entire dataset. Each episode contains a list of tasks and the length of the episode.
 - `tasks.jsonl` contains a list of all the tasks in the entire dataset.
 - `modality.json` contains the modality configuration.
@@ -74,17 +74,23 @@ Together with a set of metadata describing the followings,
 ## Dataset Quantification:
 
 ### Record Count
+
 #### Exhaust Pipe Sorting Task
-Number of demonstrations/trajectories: 1000
-Number of RGB videos: 1000
+- Number of demonstrations/trajectories: 1000
+- Number of RGB videos: 1000
+
 #### Nut Pouring Task
-Number of demonstrations/trajectories: 1000
-Number of RGB videos: 1000
+- Number of demonstrations/trajectories: 1000
+- Number of RGB videos: 1000
 
 ### Total Storage
 
 26.5 GB
 
+## Ethical Considerations:
+NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. 
+
+Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
 
 ## Reference(s):
 [1] @inproceedings{mandlekar2023mimicgen,