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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
name: string
frames_received: int64
frames_written: int64
frames_remuxed: int64
frames_metadata_written: int64
frames_dropped_invalid: int64
frames_dropped_queue: int64
first_recv_ns: int64
last_recv_ns: int64
remux_status: string
remux_error: null
metadata_error: null
raw_write_error: null
source: string
timestamp: timestamp[s]
task_instruction: string
episode_index: int64
robot_type: string
task_name: string
video_remux_status: string
segments: list<item: struct<sub_task_instruction: string, frame_duration: list<item: double>>>
  child 0, item: struct<sub_task_instruction: string, frame_duration: list<item: double>>
      child 0, sub_task_instruction: string
      child 1, frame_duration: list<item: double>
          child 0, item: double
device_serial: string
task_num: string
transcoding_status: string
sim_source: struct<set: string, episode: int64, bottle_init_xy_yaw: list<item: double>, cap_torque_Nm: double, c (... 270 chars omitted)
  child 0, set: string
  child 1, episode: int64
  child 2, bottle_init_xy_yaw: list<item: double>
      child 0, item: double
  child 3, cap_torque_Nm: double
  child 4, cap_turn_deg: double
  child 5, strokes_deg: list<item: double>
      child 0, item: double
  child 6, program_params: struct<l_tilt: double, grip_h: double, lift: double, psi0: double, stroke: double, speed: double, pa (... 68 chars omitted)
      child 0, l_tilt: double
      child 1, grip_h: double
      child 2, lift: double
      child 3, psi0: double
      child 4, stroke: double
      child 5, speed: double
      child 6, pad_clear: double
      child 7, r_open: double
      child 8, close_mid: double
      child 9, r_close: double
  child 7, success: bool
  child 8, sim_fps: int64
format_version: string
transcoding_cameras_failed: struct<>
to
{'task_instruction': Value('string'), 'task_num': Value('string'), 'task_name': Value('string'), 'robot_type': Value('string'), 'device_serial': Value('string'), 'episode_index': Value('int64'), 'timestamp': Value('timestamp[s]'), 'format_version': Value('string'), 'segments': List({'sub_task_instruction': Value('string'), 'frame_duration': List(Value('float64'))}), 'transcoding_status': Value('string'), 'video_remux_status': Value('string'), 'transcoding_cameras_failed': {}, 'sim_source': {'set': Value('string'), 'episode': Value('int64'), 'bottle_init_xy_yaw': List(Value('float64')), 'cap_torque_Nm': Value('float64'), 'cap_turn_deg': Value('float64'), 'strokes_deg': List(Value('float64')), 'program_params': {'l_tilt': Value('float64'), 'grip_h': Value('float64'), 'lift': Value('float64'), 'psi0': Value('float64'), 'stroke': Value('float64'), 'speed': Value('float64'), 'pad_clear': Value('float64'), 'r_open': Value('float64'), 'close_mid': Value('float64'), 'r_close': Value('float64')}, 'success': Value('bool'), 'sim_fps': Value('int64')}}
because column names don't match
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 361, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              name: string
              frames_received: int64
              frames_written: int64
              frames_remuxed: int64
              frames_metadata_written: int64
              frames_dropped_invalid: int64
              frames_dropped_queue: int64
              first_recv_ns: int64
              last_recv_ns: int64
              remux_status: string
              remux_error: null
              metadata_error: null
              raw_write_error: null
              source: string
              timestamp: timestamp[s]
              task_instruction: string
              episode_index: int64
              robot_type: string
              task_name: string
              video_remux_status: string
              segments: list<item: struct<sub_task_instruction: string, frame_duration: list<item: double>>>
                child 0, item: struct<sub_task_instruction: string, frame_duration: list<item: double>>
                    child 0, sub_task_instruction: string
                    child 1, frame_duration: list<item: double>
                        child 0, item: double
              device_serial: string
              task_num: string
              transcoding_status: string
              sim_source: struct<set: string, episode: int64, bottle_init_xy_yaw: list<item: double>, cap_torque_Nm: double, c (... 270 chars omitted)
                child 0, set: string
                child 1, episode: int64
                child 2, bottle_init_xy_yaw: list<item: double>
                    child 0, item: double
                child 3, cap_torque_Nm: double
                child 4, cap_turn_deg: double
                child 5, strokes_deg: list<item: double>
                    child 0, item: double
                child 6, program_params: struct<l_tilt: double, grip_h: double, lift: double, psi0: double, stroke: double, speed: double, pa (... 68 chars omitted)
                    child 0, l_tilt: double
                    child 1, grip_h: double
                    child 2, lift: double
                    child 3, psi0: double
                    child 4, stroke: double
                    child 5, speed: double
                    child 6, pad_clear: double
                    child 7, r_open: double
                    child 8, close_mid: double
                    child 9, r_close: double
                child 7, success: bool
                child 8, sim_fps: int64
              format_version: string
              transcoding_cameras_failed: struct<>
              to
              {'task_instruction': Value('string'), 'task_num': Value('string'), 'task_name': Value('string'), 'robot_type': Value('string'), 'device_serial': Value('string'), 'episode_index': Value('int64'), 'timestamp': Value('timestamp[s]'), 'format_version': Value('string'), 'segments': List({'sub_task_instruction': Value('string'), 'frame_duration': List(Value('float64'))}), 'transcoding_status': Value('string'), 'video_remux_status': Value('string'), 'transcoding_cameras_failed': {}, 'sim_source': {'set': Value('string'), 'episode': Value('int64'), 'bottle_init_xy_yaw': List(Value('float64')), 'cap_torque_Nm': Value('float64'), 'cap_turn_deg': Value('float64'), 'strokes_deg': List(Value('float64')), 'program_params': {'l_tilt': Value('float64'), 'grip_h': Value('float64'), 'lift': Value('float64'), 'psi0': Value('float64'), 'stroke': Value('float64'), 'speed': Value('float64'), 'pad_clear': Value('float64'), 'r_open': Value('float64'), 'close_mid': Value('float64'), 'r_close': Value('float64')}, 'success': Value('bool'), 'sim_fps': Value('int64')}}
              because column names don't match

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open-bottle (sim, scripted): 5 sim demos in the ROBOTIS MCAP layout

5 Isaac Lab demos of opening a screw-cap bottle with two arms, written in the same layout as the real Cyclo Intelligence recordings (format_version: robotis_v2, one folder per demo with <i>_0.mcap, metadata.yaml, episode_info.json, camera_info/, robot.urdf, videos/<i>_0/<cam>.mp4), so they can be replayed on the real robot like the earlier *-replay5 sets. Leader command topics = the sim joint targets (16: both arms + grippers), /joint_states = the sim joint state, both resampled from 15 Hz to 100 Hz; videos frame-repeated to 30 fps. The sim has no right head camera, so cam_right_head.mp4 is a copy of the left head video.

The motion (user's plan, 2026-11-06). The bottle stands upright on the table. The left hand opens fully, grasps the bottle by its lower end (5 cm up, from the bottle's left, 30 deg down), lifts it 3 cm and levels it. The right hand comes in level from the side, half open, centres on the cap, closes to 0.70 (not yet touching), sets its pad's bottom edge 1.5 mm above the cap rim (the cap is 11 mm tall, the pad 26 mm wide), squeezes to 0.79, and twists the cap 45 deg about its axis at 10 deg/s, rising with the thread. It lets go, backs out, rises 6 cm, returns above the bottle to the same start pose and pinches again, until the thread releases (after 195 deg; the cap then lifts off in the right hand). All 5 demos succeeded in sim: the cap came free, stayed between the right pads and was lifted off; the bottle stayed in the left hand and both arms kept at least 5 cm of surface clearance.

The sim is set up to match the real robot: FFW SG2, ROBOTIS RH-P12-RN CAD gripper visuals with calibrated wrist cameras, 29.25 in table. The bottle is an empty BODYARMOR LYTE 28 oz (86 mm body, 212 mm with cap, 45 g) with a 38 mm 3-start screw cap (41.5 mm, 11 mm tall) modelled as a thread joint: it turns at 0.40 N m (hand-tight), rises 1.91 mm/rad and lets go after 195 deg.

Things to check on the real robot before replaying: the left gripper is commanded fully open (0.0, ~107 mm pad gap) for the 86 mm bottle; the right close is 0.79 on the 41.5 mm cap (the real cap torque and pad friction set how much the cap slips per stroke, so the real cap may need more or fewer of the recorded strokes).

First frames (rows = folders 0-4; columns = head, left wrist, right wrist):

first frames

folder sim episode bottle x [m] bottle y [m] bottle yaw [deg] cap torque [N m] strokes cap turn per stroke [deg] cap total [deg] length [s] min arm gap [mm]
0 0 0.376 0.121 -171 0.40 5 41, 44, 44, 43, 44 212 106.5 95
1 1 0.391 0.105 -101 0.40 5 44, 44, 44, 44, 45 218 104.9 71
2 2 0.397 0.133 -174 0.40 6 3, 44, 44, 44, 44, 45 217 123.4 69
3 3 0.378 0.134 +148 0.40 7 5, 44, 44, 44, 4, 42, 38 214 143.1 92
4 4 0.389 0.102 +30 0.40 7 27, 44, 45, 41, 10, 14, 45 233 140.0 83

Source: data_collection/bottle_cap/collect_side_open.py (recorded set open_bottle_replay), exported with data_collection/export_robotis_mcap.py; recipe validated by data_collection/bottle_cap/analysis/probe_side_open.py.

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