---
license: other
task_categories: [robotics]
tags: [navigation, egocentric, world-model, video-pretraining, AWM]
---

# AWM Navigation Pre-training Corpus (private) — uniform 30 fps

Action-free video pre-training data for AWM. Egocentric go-to navigation clips,
open-vocabulary route+landmark / object-level instructions (Gemini v3 harvest),
across indoor (object-level) and outdoor (route+landmark) domains. All video is
**normalized to 30 fps** (native 60fps down-sampled, native 30fps kept; 24/25fps
clips dropped — no clean resample). `fps_map.json` records each clip's ORIGINAL
fps for reference.

```
videos/{indoor,outdoor}/<clip>.mp4     # 30 fps RGB clips
labels/{indoor,outdoor}/<clip>.json    # per-clip go-to segments [{t0,t_end,
                                        #   instruction, trajectory, ...}]
fps_map.json                           # clip -> original native fps
```
Video source: SpatialVID-HQ (FelixYuan/SpatialVID-HQ). Uploaded in parallel shards.