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200 episodes · 10 fps · 2 cameras · 672×376 mpeg4

kt_pick_pringles_spam_merge

Two-task dataset: merge of learner1119/kt_pick_pringles_merge (merged index 0–99) and learner1119/kt_pick_spam_merge (merged index 100–199). FFW-SH5 rev1, 10 fps, LeRobot v2.1.

task_index language instruction episodes frames source
0 pick up the pringles can 100 (0–99) 7,195 kt_pick_pringles + kt_pick_pringles2
1 pick up the spam 100 (100–199) 9,021 kt_pick_spam + kt_pick_spam2
total 200 16,216

Episodes were re-indexed end to end; videos are copied byte-for-byte. meta/source_episodes.jsonl maps each episode back to the per-task merge it came from.

Features

  • observation.state, action: 57-dof (arm_l 0:7, arm_r 7:14, finger_l 14:34, finger_r 34:54, head 54:56, lift 56)
  • observation.tactile: 90
  • observation.images.cam_head (672×376), observation.images.cam_head_realsense (640×480)

meta/modality.json (GR00T)

Exposes only the right arm (7) + right hand (20) as right_arm / right_hand and only cam_head as video. The other joints and the realsense camera stay in the data but are not used for training.

Hold-out

2 episodes from each of the 4 recording cases are held out (8 episodes, 580 frames), published as learner1119/kt_pick_pringles_spam_merge_holdout:

case source episodes here
Pringles, right of Spam kt_pick_pringles 19, 39
Pringles, left of Spam kt_pick_pringles2 69, 89
Spam, set 1 kt_pick_spam 119, 139
Spam, set 2 kt_pick_spam2 169, 189

The remaining 192 episodes (15,636 frames, 96 per task) are the training split. The Spam part equals learner1119/kt_pick_spam_merge_holdout; the Pringles part is a subset of learner1119/kt_pick_pringles_merge_holdout.

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Models trained or fine-tuned on learner1119/kt_pick_pringles_spam_merge