Final Dataset card

README.md

@@ -9,7 +9,6 @@ tags:
 - lerobot
 - LeRobotDataset-v3
 ---
-
 # LIBERO LeRobot v3
 
 ## Dataset Summary
@@ -34,6 +33,16 @@ LIBERO, short for LIfelong learning BEnchmark on RObot manipulation, is a benchm
 
 This version converts LIBERO demonstration data to the LeRobotDataset v3.0 standard. LeRobot v3.0 uses file-based Parquet and MP4 shards plus structured metadata, replacing per-episode files with chunked files that can contain multiple episodes.
 
+This dataset is ready for commercial or non-commercial uses.
+
+## Dataset Owner(s)
+
+NVIDIA Corporation
+
+## Dataset Creation Date
+
+2026-05-26
+
 ### Dataset Sources
 
 - Repository: https://huggingface.co/datasets/nvidia/LIBERO_LeRobot_v3
@@ -42,9 +51,14 @@ This version converts LIBERO demonstration data to the LeRobotDataset v3.0 stand
 - LIBERO GitHub: https://github.com/Lifelong-Robot-Learning/LIBERO
 - LeRobotDataset v3.0 documentation: https://huggingface.co/docs/lerobot/lerobot-dataset-v3
 
-## Uses
+## Version:
+v1.0 <br>
+
+## License/Terms of Use
+
+This dataset is released under the [OpenMDW1.1](https://openmdw.ai/)
 
-### Direct Use
+## Intended Usage
 
 This dataset is intended for research and development in:
 
@@ -60,7 +74,17 @@ This dataset is intended for research and development in:
 
 This dataset is not intended to be used as the sole validation source for safety-critical robot deployment. Policies trained on this dataset should be evaluated carefully before use in real-world physical systems.
 
-## Dataset Structure
+## Dataset Characterization
+
+**Data Collection Method**
+
+[Not Applicable]
+
+**Labeling Method**
+
+[Not Applicable]
+
+## Dataset Format
 
 The repository contains one LeRobotDataset v3.0 dataset per suite folder. Each suite follows the LeRobot v3 layout:
 
@@ -85,7 +109,7 @@ The repository contains one LeRobotDataset v3.0 dataset per suite folder. Each s
             └── file-*.mp4
 ```
 
-### Suite Metadata
+### Dataset Quantification
 
 The following values are taken from each suite's `meta/info.json`.
 
@@ -100,6 +124,8 @@ The following values are taken from each suite's `meta/info.json`.
 
 Note: the upstream LIBERO task suite naming includes `LIBERO-90`; this converted repository's `libero_90/meta/info.json` reports 73 task IDs.
 
+Total Data Storage: 4.5 GB
+
 ### Features
 
 Common feature fields include:
@@ -156,17 +182,11 @@ The source data is derived from LIBERO, a benchmark for lifelong robot learning
 
 This repository converts LIBERO data into LeRobotDataset v3.0. In LeRobot v3.0, data and video frames from multiple episodes are grouped into larger shard files, while metadata records episode boundaries, task IDs, feature schemas, statistics, and path templates.
 
-## Bias, Risks, and Limitations
-
-- LIBERO is a simulation benchmark; results may not transfer directly to real-world robots.
-- The converted dataset reflects the task distribution, object set, environments, and teleoperation behavior of the upstream LIBERO data.
-- The repository does not provide a fixed train/validation/test split. Users should define splits appropriate to their evaluation protocol.
-- The data is intended for research and development, not as a sole source of evidence for safe real-world deployment.
-- Users should verify licensing and redistribution requirements for their intended use.
+## Ethical Considerations
 
-## Personal and Sensitive Information
+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. Developers should work with their internal developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
 
-LIBERO is a robot manipulation benchmark in simulated environments. The dataset is not intended to contain personal or sensitive information.
+Please report model quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
 
 ## Citation