Dataset · Hugging Face

EgoSteer/EgoSteer-RealWorld

Name: EgoSteer-RealWorld
Creator: EgoSteer
License: apache-2.0
Keywords: task_categories:robotics, language:en, license:apache-2.0, size_categories:10M<n<100M, format:parquet, modality:tabular, modality:timeseries, modality:video, library:datasets, library:dask, library:polars, library:mlcroissant, library:lerobot, arxiv:2607.09701, region:us

EgoSteer Real-World Bimanual Teleoperation Dataset EgoSteer-RealWorld is the real-robot dataset collected and used in EgoSteer: An Open-Source Full-Stack System Towards Steerable Dexterous Manipulation from Egocentric Videos. It contains 54,454 teleoperated episodes (192 hours, 20.75 M frames) of bimanual dexterous manipulation across 193 tasks, recorded on a RealMan dual-arm robot with two Ruiyan dexterous hands and two RGB-D cameras (head and chest), with… See the full description on the dataset page: https://huggingface.co/datasets/EgoSteer/EgoSteer-RealWorld.

View on Hugging FaceReport an issue

Author / organization	EgoSteer
License (as declared)	apache-2.0
Downloads	29.5K (as reported by Hugging Face)
Likes	8
Created	15 September 2026
Last updated at source	6 October 2026

LeRobotroboticsdexterous-manipulationbimanualteleoperationegocentricdepthvla

Embed this entry

<iframe src="https://silytics.si/embed/item/42073082-975b-4f3a-b808-8eb47bb38c1b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.