nvidia/video_to_data_challenge
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: https://huggingface.co/datasets/nvidia/video_to_data_challenge.
| Author / organization | nvidia |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 5.4K (as reported by Hugging Face) |
| Likes | 23 |
| Created | 28 August 2026 |
| Last updated at source | 22 September 2026 |
Popularity, last 2 days
5,352 now (+154 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from nvidia
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.