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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:    TypeError
Message:      Couldn't cast array of type
struct<mode: string, floor: string, walls: string, tile_m: double>
to
{'mode': Value('string'), 'variant': Value('string')}
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 2315, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2071, in cast_array_to_feature
                  _c(children[name] if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2161, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<mode: string, floor: string, walls: string, tile_m: double>
              to
              {'mode': Value('string'), 'variant': Value('string')}

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pick-cube-topdown-regiondr10k-raw

Second 10K full-region block-pick collection with --dr (textures/lights/cameras) + --dr2 (start pose, pushes, gripper, table height), 100 parts. Raw mp4s of this collection were pruned (to every 10th episode, 2026-11-04) to free disk; obs.npz + meta.json are kept for every episode, and the full-video converted LeRobot set is linked above.

Raw Isaac Lab / Isaac Sim 5.1 collector output for the ROBOTIS FFW SG2 (cyclo_lab real2sim pipeline, padiredd). Kept because it has what the converted LeRobot sets do not: full-resolution video, per-episode randomisation / object metadata and the failed attempts (success: false).

folders 100 (regiondr10k_p001 ... regiondr10k_p100)
episodes 10,021 (10,000 successful)
episodes with video 1,018
files / size 23,296 / 9.1 GB

Converted LeRobot sets (successes only, cameras stretched to 240x240):

Layout

  • <folder>/index.json: collector config of that part and its episode list
  • <folder>/episode_NNNN/: cam_left_head.mp4, cam_left_wrist.mp4, cam_right_wrist.mp4, meta.json, obs.npz
    • obs.npz (example episode, T steps at 15 fps): timestamp (177,), state (177, 22), action (177, 16), cube_pose (177, 7), tcp_pose (177, 7), tcp_target (177, 7), phase (177,), exec_push (177, 7)
    • meta.json keys: episode, success, arm, cube_init_xy_yaw, cube_settled_pos, grasp_tilt_deg, grasp_azimuth_deg, cube_lift, gripper_joint1_end, final_phase, table_top_z, dr, start_pose, motion_noise, traj, length, fps
  • logs/: collector logs
  • Cameras: cam_left_head.mp4 (672x376), cam_left_wrist.mp4, cam_right_wrist.mp4 (240x424), H.264.

Uploaded 2026-11-06 02:08 UTC with data_collection/hf_datasets/upload_raw.py.

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