Dataset Viewer
The dataset viewer is not available for this split.
The number of columns (12090) exceeds the maximum supported number of columns (1000). This is a current limitation of the datasets viewer. You can reduce the number of columns if you want the viewer to work.
Error code: TooManyColumnsError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ego_gen_comind_single — CoMind SINGLE-EGO ablation dataset
Ablation of the CoMind 2-ego generation model where each view is generated independently as a single-ego
stream (no cross-view information). Same 12,090 pairs / two ego views (leader L, helper H) as the main
ego_gen_comind, but with three conditions changed:
- No reference frames — reference appearance/pose/camera conditioning is removed entirely.
- Own-context-only warping —
*_warpedis built from each view's OWN past pool only. Frames the main (combined-pool) model had to source from the partner pool (~11%) become holes (black frame + visibility all-False), i.e. the honest single-ego behaviour when the wearer's own past cannot cover the target. - Self-only pose —
*_poseshows only the wearer's OWN hands (partner body removed). Identity palette kept (leader = EGO cyan/purple, helper = PARTNER orange/green) to match the main model'sperson_pose. - Per-view Plücker cameras —
*_w2cis canonicalised to each view's own frame-0 (w2c[0] = identity), not the shared pair frame. Fed ascamera_w2c, the model's shared canonicalisationinv(view0-frame0)becomes a no-op, so each view stays in its own coordinate = per-view Plücker (no cross-view shared world). role-mix safe.
Layout
clips/<rec8>/<clip_id>.single.npz # self-contained training unit (below)
manifest/single_clips.txt # the 12,090 clip_ids in this set
manifest/clip_pairs.csv # pairing + metadata (superset; filter by single_clips.txt)
manifest/captions/<rec8>/<clip_id>.json # per-file (SHARDED by recording: HF caps a dir at 10k files)
manifest/captions.json # also provided: single bundle {clip_id: {"leader","helper"}}
<clip_id>.single.npz keys (all self-contained — no dependency on the main clip.npz)
| key | shape | meaning |
|---|---|---|
L_target, H_target |
(77,) obj JPEG | GT video to generate (per view) |
L_warped, H_warped |
(77,) obj JPEG | own-only warped condition (hole = black frame) |
L_vis_packed, H_vis_packed, vis_shape |
packbits (T,504,504) | warp visibility (hole frame = all False) |
L_srcf, H_srcf |
(77,) int32 | source past-frame index (hole = -1) |
L_pose, H_pose |
(77,) obj JPEG | self-only pose (own hands; L=EGO, H=PARTNER) |
L_w2c, H_w2c |
(77,4,4) f32 | per-view canonical world→cam (frame0 = identity) |
K_leader, K_helper |
(3,3) f32 | intrinsics (504 res) |
warp_mode, pose_mode, cam_frame, n_hole_L, n_hole_H |
— | provenance markers |
Loader contract (needs a single_ego mode; NOT wired in the public loader yet)
For each clip read ONLY <clip_id>.single.npz:
video←{side}_targetcontrol_input_pose←{side}_posecontrol_input_warped←{side}_warpedcontrol_input_visibility← unpack({side}_vis_packed,vis_shape)camera_w2c←{side}_w2c(per-view canonical; feed directly, model canon becomes no-op)camera_K←K_leader/K_helper,camera_src_res= 504- caption ←
manifest/captions/<rec8>/<clip_id>.jsonwhererec8 = clip_id.split("_")[0](per-file, sharded by recording — HF caps one dir at 10k files so they are NOT flat); or use the bundlemanifest/captions.json[clip_id] - do NOT load refs / reference_frames / reference_pose / reference_cam_w2c, and do NOT enable
enable_reference_plucker. Everything else (net, person-pose embedder, Plücker embedder) is unchanged.
- Downloads last month
- 129