{
  "task": "BagDropIn-v1",
  "method": "PI0.5 LoRA + trainable weights",
  "base_checkpoint": "gs://openpi-assets/checkpoints/pi05_base/params",
  "checkpoint": "lora_step_0015000.npz",
  "checkpoint_sha256": "e259405fb2d2b7d9135235ff23e3660feaf54596b6436854dd9ad506c725be42",
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  "action_horizon": 50,
  "max_token_len": 200,
  "image_size": 224,
  "exec_steps": 16,
  "sample_steps": 10,
  "control_mode": "pd_ee_delta_pose",
  "cameras": [
    "front_camera",
    "robot_camera",
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  ],
  "state_input": "zero vector",
  "num_demos": 20,
  "train_steps": 40000,
  "batch_size": 64,
  "norm_stats_file": "norm_stats.json",
  "norm_stats_sha256": "f0b17a14dd6df5be77bed97ab2f05e05bb4742b666acb28b568544ed2b36fee5",
  "source_path": "maniladder/envs/deformable/single_arm_dex/level_3/bag_drop_in.py",
  "source_sha256": "a5a07a86026f048838c44d15814c711ab3aa6ebddba5763ab90b0c6f0d1254c8",
  "campaign": "pi05_bagtasks_20261106",
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  "missing_eval_steps": [],
  "selection": "highest evaluated success rate, then earliest step",
  "missing_right_wrist_image": "zeros",
  "training_data": "Linslab/ManiLadder_Dataset raw/BagDropIn-v1 (20 demos regenerated 2026-11-05 with the updated task code, maniladder release branch)"
}