Datasets:

JackieMM
/

LQ-20260915-1-first50-2cam

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
observation.state: fixed_size_list<element: float>[14]
  child 0, element: float
action: fixed_size_list<element: float>[14]
  child 0, element: float
observation.velocity: fixed_size_list<element: float>[14]
  child 0, element: float
observation.current: fixed_size_list<element: float>[14]
  child 0, element: float
observation.ee_pose: fixed_size_list<element: float>[12]
  child 0, element: float
episode_index: int64
index: int64
frame_index: int64
timestamp: float
task_index: int64
to
{'observation.images.cam_high': Video(decode=True, stream_index=None, dimension_order='NCHW', num_ffmpeg_threads=1, device='cpu', seek_mode='exact'), 'observation.images.cam_right_wrist': Video(decode=True, stream_index=None, dimension_order='NCHW', num_ffmpeg_threads=1, device='cpu', seek_mode='exact'), 'observation.state': List(Value('float32')), 'action': List(Value('float32'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              observation.state: fixed_size_list<element: float>[14]
                child 0, element: float
              action: fixed_size_list<element: float>[14]
                child 0, element: float
              observation.velocity: fixed_size_list<element: float>[14]
                child 0, element: float
              observation.current: fixed_size_list<element: float>[14]
                child 0, element: float
              observation.ee_pose: fixed_size_list<element: float>[12]
                child 0, element: float
              episode_index: int64
              index: int64
              frame_index: int64
              timestamp: float
              task_index: int64
              to
              {'observation.images.cam_high': Video(decode=True, stream_index=None, dimension_order='NCHW', num_ffmpeg_threads=1, device='cpu', seek_mode='exact'), 'observation.images.cam_right_wrist': Video(decode=True, stream_index=None, dimension_order='NCHW', num_ffmpeg_threads=1, device='cpu', seek_mode='exact'), 'observation.state': List(Value('float32')), 'action': List(Value('float32'))}
              because column names don't match

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LQ-20260915-1 first 50 episodes, two cameras

This is the exact LeRobot v3.0 dataset used for the ARX X5 pi0.5 LoRA training run documented in JackieMM/robotwin-pi05-arx.

50 real-robot episodes (0..49 from the source export)
18,191 frames at 30 FPS
14-dimensional bimanual state and action vectors
Main camera: observation.images.cam_high
Right-wrist camera: observation.images.cam_right_wrist
The left-wrist camera is intentionally omitted
Matching OpenPI normalization statistics: norm_stats.json

The source export reported 71 total episodes. This repository contains only the first 50 episodes requested for training. Review the demonstrations and confirm robot-specific calibration and safety limits before attempting any real-robot rollout.

The data was supplied for this experiment by the dataset owner. No separate redistribution license was provided, so the dataset is marked other; downstream users must obtain appropriate permission for their use case.

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