Xiaokunfeng2022/EmbodiedWorld-200K
EmbodiedWorld-200K: Toward Embodied World Agents via Embodied-Planning Dataset and Interactive World Models Dataset Summary EmbodiedWorld-200K is a large-scale dataset for embodied agent research via navigation tasks, constructed from open-world game videos sourced from YouTube. It provides dense camera pose estimation, trajectory segmentation, discrete motion labels, and natural language goal-navigation captions generated through a dedicated annotation pipeline… See the full description on the dataset page: https://huggingface.co/datasets/Xiaokunfeng2022/EmbodiedWorld-200K.
| Author / organization | Xiaokunfeng2022 |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 238 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 6 May 2026 |
| Last updated at source | 6 May 2026 |
Popularity, last 2 days
238 now (+7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: EmbodiedWorld-200K: Toward Embodied World Agents via Embodied-Planning Dataset and Interactive World Models Dataset Summary EmbodiedWorld-200K is a large-scale dataset for embodied agent research via navigation tasks, constructed from open- → EmbodiedWorld-200K: Toward Embodied World Agents via Embodied-Planning Dataset and Interactive World Models Dataset Summary EmbodiedWorld-200K is a large-scale dataset for embodied agent research via navigation tasks, constructed from open-
Changes detected by Silytics between refreshes of the source.
More from Xiaokunfeng2022
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 Information may be incomplete or out of date.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.