Dataset Viewer
Duplicate
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:

  1. No reference frames — reference appearance/pose/camera conditioning is removed entirely.
  2. Own-context-only warping*_warped is 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.
  3. Self-only pose*_pose shows 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's person_pose.
  4. Per-view Plücker cameras*_w2c is canonicalised to each view's own frame-0 (w2c[0] = identity), not the shared pair frame. Fed as camera_w2c, the model's shared canonicalisation inv(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}_target
  • control_input_pose{side}_pose
  • control_input_warped{side}_warped
  • control_input_visibility ← unpack({side}_vis_packed, vis_shape)
  • camera_w2c{side}_w2c (per-view canonical; feed directly, model canon becomes no-op)
  • camera_KK_leader / K_helper, camera_src_res = 504
  • caption ← manifest/captions/<rec8>/<clip_id>.json where rec8 = clip_id.split("_")[0] (per-file, sharded by recording — HF caps one dir at 10k files so they are NOT flat); or use the bundle manifest/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