This dataset provides additional text description annotations from the BONES-SEED humanoid motion dataset. For each motion, this dataset provides an overview text description of the entire motion at a high level, along with a “timeline” of annotated segments within the motion. Each segment generally contains a single atomic action and is defined by a start time, end time, and text description.
Note that these annotations are already included in the BONES-SEED repo but are released here with additional information for completeness.
This dataset is ready for commercial use.
NVIDIA Corporation
March-July 2025
This dataset is governed by the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This dataset is intended for users interested in leveraging the BONES-SEED dataset who could benefit from additional text labels and/or fine-grained temporal text descriptions. Potential applications include training text-to-motion generative models or text-motion retrieval models.
Data Collection Method
Human
Labeling Method
Hybrid: Human, Automated
Human annotators were first asked to provide text annotations for a subset of the dataset. Then, text labels were automatically propagated from annotated motions to the unlabeled motions of the same action type. While propagating the timeline annotations, variations in motion timing were accounted for using dynamic time warping. The dataset metadata indicates which labels were directly provided by a human annotator, and which ones are from automated label propagation.
JSONL file with each motion on a separate line.
Each line contains:
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 developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
7 commits
This dataset provides additional text description annotations from the BONES-SEED humanoid motion dataset. For each motion, this dataset provides an overview text description of the entire motion at a high level, along with a “timeline” of annotated segments within the motion. Each segment generally contains a single atomic action and is defined by a start time, end time, and text description.
Note that these annotations are already included in the BONES-SEED repo but are released here with additional information for completeness.
This dataset is ready for commercial use.
NVIDIA Corporation
March-July 2025
This dataset is governed by the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This dataset is intended for users interested in leveraging the BONES-SEED dataset who could benefit from additional text labels and/or fine-grained temporal text descriptions. Potential applications include training text-to-motion generative models or text-motion retrieval models.
Data Collection Method
Human
Labeling Method
Hybrid: Human, Automated
Human annotators were first asked to provide text annotations for a subset of the dataset. Then, text labels were automatically propagated from annotated motions to the unlabeled motions of the same action type. While propagating the timeline annotations, variations in motion timing were accounted for using dynamic time warping. The dataset metadata indicates which labels were directly provided by a human annotator, and which ones are from automated label propagation.
JSONL file with each motion on a separate line.
Each line contains:
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 developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
7 commits