Constarium
← Search

Data · dataset · 2026

Video to Data (V2D) Challenge Dataset

Listed in Hugging Face Datasets

Description

Video to Data (V2D) Challenge Dataset Dataset Description The Video to Data (V2D) Challenge Dataset is an NVIDIA-developed benchmark for studying the complete path from human demonstration video to physics-grounded robot behavior. It supports three coupled challenge tracks over shared manipulation tasks: 4D human-object interaction reconstruction, robotic grounding, and end-to-end egocentric transfer. Challenge website Starter toolkit Dataset repository Contact:… See the full description on the dataset page: huggingface.co/datasets/nvidia/video_to_data_challenge.

Links

Catalogue records · 1

Topics

Stated by source
3d · video
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsnvidia/video_to_data_challenge8 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:3dsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:videosource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:videomapping · Hugging Facevocabulary-mapper@1.0.0keywords['video']
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0