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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Expected object or value
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 281, in _generate_tables
                  examples = [ujson_loads(line) for line in batch.splitlines()]
                              ~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value

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MagicBioLab — microplate cell (UR5e + plate gripper), simulated demonstrations

Scripted demonstrations of a full lab-automation cycle in a simulated bio-lab enclosure: conveyor carrier → plate hotel → a4S plate sealer → back onto the carrier, with a UR5e arm and a parallel plate gripper. Every episode is one complete, successful cycle on one microplate. Data are added continuously while collection runs; index/episodes.csv lists every uploaded episode.

Layout

episodes/<episode>/
  data.npz               per-frame arrays (25 Hz)
  wrist.mp4  env.mp4     640x480, 25 fps, frame-aligned with data.npz
  meta.json              frame count, joint order, frames used, dr_version
  scene_snapshot.json    full scene state at episode start (all DR values: lights, poses, belt speed, cameras)
  device_events.jsonl    conveyor / a4S device events (station arrival, drawer, seal, release)
index/episodes.csv       one row per episode: DR parameters, plate type, length, checks, dr_version

data.npz (T frames, 25 Hz; robot base frame)

key shape meaning
joint_pos / joint_vel (T, 8) 6 arm joints + 2 finger joints (m)
eef_pos / eef_quat (T, 3) / (T, 4) gripper pose, quat wxyz
gripper_pos (T, 2) finger positions
camera_pose (T, 2, 7) local camera pose (wrist: in the gripper base link; env: in the env frame), pos + quat wxyz
action_joint_pos (T, 8) joint-position action: commanded joint targets for the next step
action_joint_delta (T, 8) action_joint_pos − joint_pos
action_eef_pose (T, 7) EEF-pose action: forward kinematics of action_joint_pos (pos + quat wxyz)
action_eef_delta (T, 6) EEF delta (translation + rotation vector)
action_gripper (T, 1) finger target (m), 0.018 = open
movel_goal (T, 8) the scripted planner's current Cartesian goal (NaN when none)
tick / phase / caption (T,) 50 Hz control tick, task phase (12 phases), language caption

Open gripper = 0.018 m per finger. The simulation runs a 50 Hz control loop; every other tick is kept.

Cameras

  • wrist — on the plate gripper, looking past the fingers. Per-episode mount DR (±3 mm, ±1.5°), per-frame shake (OU jitter ~1.2 mm / 0.35°) and sway from the arm's acceleration.
  • env — top-front of the enclosure, looking down at the cell. Per-episode pose DR (±2.5 cm, ±2°); static within an episode.

Domain randomization (per episode)

Lighting (ceiling rect light + a free sphere/disk key light: pose, intensity, colour temperature, colour; dome intensity) · 16 microplate types (SBS 6–1536 well, PCR, deep-well, reservoir; clear/black/white/coloured) · plate offset (±15 / ±12 mm) and yaw (±12°) on the carrier · carrier stop position at the pick station · belt speed (0.15–0.30 m/s) · arrival time of the carrier · a4S sealer pose (7 × 8 cm, ±5°) · seal dwell and hand-off timing · force/torque pulses (5–20 N) on the held plate during every transfer (grip-stability test; the episode is discarded if the plate is lost) · camera poses (above).

dr_version: v2 episodes re-draw the wrist-camera mount and the env-camera pose every episode; v1 episodes (the first ~1050) drew both camera poses once per simulator process and environment (116 distinct values among the first 951). In all versions the a4S sealer pose is drawn once per simulator process and environment (4 values per process). Columns cam_dr_per_episode / a4s_dr_per_episode in index/episodes.csv give the flags per episode. All other DR is per episode.

Quality gates (every uploaded episode)

Task succeeded; video frame count = data frame count for both cameras; no NaN in state/action arrays; all 12 phases present and ending in release; env camera static within the episode. Replay of recorded actions reproduces the joint trajectories (mean 0.0003 rad) and final plate pose (2.4 mm).

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