Sign inGet started
Dataset · Hugging Face

Jinyan0924/qwen_robotics_open_dataset_egowalk

EgoWalk navigation frames EgoWalk (MIT) converted into a per-frame training format for image-in, trajectory-out navigation policies: 57 hours and 232 km of people walking in Moscow, indoors (malls, stations, offices) and outdoors, filmed by a chest-mounted ZED camera, with visual odometry and about 79,000 language goals ("Walk to the glass door on the left"). It is one of the training sources of qwen_robotics_open_dataset, which builds training data usable by both… See the full description on the dataset page: https://huggingface.co/datasets/Jinyan0924/qwen_robotics_open_dataset_egowalk.

Author / organizationJinyan0924
License (as declared)mit
Downloads368 (as reported by Hugging Face)
Likes0
Created5 October 2026
Last updated at source6 October 2026
navigationegocentriclanguage-goalstrajectory-prediction
Embed this entry
<iframe src="https://silytics.si/embed/item/8d10ee57-5013-4ae6-a9de-b00f3572aaed" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

368 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from Jinyan0924

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.