Sign inGet started
Dataset · Hugging Face

OpenDriveLab/WorldEngine

The missing infrastructure for Physical AI post-training in AD. Open-source. Production-validated. Joint effort by OpenDriveLab at The University of Hong Kong, Huawei Inc. and Shanghai Innovation Institute (SII). Highlights A post-training framework for Physical AI: Systematically addresses the long-tail safety-critical data scarcity problem in autonomous driving. Data-driven long-tail discovery: Failure-prone scenarios are automatically identified from… See the full description on the dataset page: https://huggingface.co/datasets/OpenDriveLab/WorldEngine.

Author / organizationOpenDriveLab
License (as declared)cc-by-nc-sa-4.0
Downloads2.1K (as reported by Hugging Face)
Likes13
Created7 April 2026
Last updated at source15 September 2026
Robotics
Embed this entry
<iframe src="https://silytics.si/embed/item/222586a1-58f1-48be-90b2-5de8a73c77c2" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

2,066 now (+165 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from OpenDriveLab

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 Information may be incomplete or out of date.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.