Datasets:

Cache-SCA
/

SO101-teleop_sort_RGBblock_to_matchingplate_200epi_10fps

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
dst_episode_index: int64
source_repo: string
source_episode_index: int64
source_fps: int64
stride: int64
output_length: int64
total_episodes: int64
total_frames: int64
features: struct<action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>, observati (... 1026 chars omitted)
  child 0, action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
      child 0, dtype: string
      child 1, names: list<item: string>
          child 0, item: string
      child 2, shape: list<item: int64>
          child 0, item: int64
  child 1, observation.state: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
      child 0, dtype: string
      child 1, names: list<item: string>
          child 0, item: string
      child 2, shape: list<item: int64>
          child 0, item: int64
  child 2, observation.images.left_wrist: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.height (... 157 chars omitted)
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: list<item: string>
          child 0, item: string
      child 3, info: struct<video.height: int64, video.width: int64, video.codec: string, video.pix_fmt: string, video.is (... 75 chars omitted)
          child 0, video.height: int64
          child 1, video.width: int64
          child 2, video.codec: string
          child 3, video.pix_fmt: string
         
...
string
          child 3, video.pix_fmt: string
          child 4, video.is_depth_map: bool
          child 5, video.fps: int64
          child 6, video.channels: int64
          child 7, has_audio: bool
  child 4, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
  child 5, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
  child 6, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
  child 7, index: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
  child 8, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
robot_type: string
chunks_size: int64
video_path: string
splits: struct<train: string>
  child 0, train: string
total_tasks: int64
data_path: string
video_files_size_in_mb: int64
codebase_version: string
data_files_size_in_mb: int64
fps: int64
to
{'codebase_version': Value('string'), 'robot_type': Value('string'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'chunks_size': Value('int64'), 'data_files_size_in_mb': Value('int64'), 'video_files_size_in_mb': Value('int64'), 'fps': Value('int64'), 'splits': {'train': Value('string')}, 'data_path': Value('string'), 'video_path': Value('string'), 'features': {'action': {'dtype': Value('string'), 'names': List(Value('string')), 'shape': List(Value('int64'))}, 'observation.state': {'dtype': Value('string'), 'names': List(Value('string')), 'shape': List(Value('int64'))}, 'observation.images.left_wrist': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool')}}, 'observation.images.top': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool')}}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}}}
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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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/json/json.py", line 343, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              dst_episode_index: int64
              source_repo: string
              source_episode_index: int64
              source_fps: int64
              stride: int64
              output_length: int64
              total_episodes: int64
              total_frames: int64
              features: struct<action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>, observati (... 1026 chars omitted)
                child 0, action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
                    child 0, dtype: string
                    child 1, names: list<item: string>
                        child 0, item: string
                    child 2, shape: list<item: int64>
                        child 0, item: int64
                child 1, observation.state: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
                    child 0, dtype: string
                    child 1, names: list<item: string>
                        child 0, item: string
                    child 2, shape: list<item: int64>
                        child 0, item: int64
                child 2, observation.images.left_wrist: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.height (... 157 chars omitted)
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: list<item: string>
                        child 0, item: string
                    child 3, info: struct<video.height: int64, video.width: int64, video.codec: string, video.pix_fmt: string, video.is (... 75 chars omitted)
                        child 0, video.height: int64
                        child 1, video.width: int64
                        child 2, video.codec: string
                        child 3, video.pix_fmt: string
                       
              ...
              string
                        child 3, video.pix_fmt: string
                        child 4, video.is_depth_map: bool
                        child 5, video.fps: int64
                        child 6, video.channels: int64
                        child 7, has_audio: bool
                child 4, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 5, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 6, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 7, index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 8, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
              robot_type: string
              chunks_size: int64
              video_path: string
              splits: struct<train: string>
                child 0, train: string
              total_tasks: int64
              data_path: string
              video_files_size_in_mb: int64
              codebase_version: string
              data_files_size_in_mb: int64
              fps: int64
              to
              {'codebase_version': Value('string'), 'robot_type': Value('string'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'chunks_size': Value('int64'), 'data_files_size_in_mb': Value('int64'), 'video_files_size_in_mb': Value('int64'), 'fps': Value('int64'), 'splits': {'train': Value('string')}, 'data_path': Value('string'), 'video_path': Value('string'), 'features': {'action': {'dtype': Value('string'), 'names': List(Value('string')), 'shape': List(Value('int64'))}, 'observation.state': {'dtype': Value('string'), 'names': List(Value('string')), 'shape': List(Value('int64'))}, 'observation.images.left_wrist': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool')}}, 'observation.images.top': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool')}}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}}}
              because column names don't match

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SO101-teleop_sort_RGBblock_to_matchingplate_200epi_10fps

This dataset was created by merging SO-101 teleoperation LeRobot v3 datasets.

Dataset Description

Task: Sort each colored block onto the plate of the matching color.

The dataset contains 200 episodes and 52453 frames at 10 FPS with observation.images.left_wrist and observation.images.top RGB video streams.

Sources and Processing

CoRL2026-CSI/SO101-teleop_sort_100more episodes 0-99
CoRL2026-CSI/SO101-teleop_sort_blocks_100epi episodes 0-99

Processing:

Source episodes are concatenated in source order.
30 FPS source episodes are downsampled with frame indices 0, 3, 6, ....
observation.images.wrist is renamed to observation.images.left_wrist where needed.
episode_index, frame_index, index, timestamp, video offsets, and metadata statistics are regenerated.

Citation

BibTeX:

[More Information Needed]

Downloads last month: 50

Total file size:

1.41 GB

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Cache-SCA/smolVLA_teleop_sort_RGBblock_to_matchingplate_200epi

Robotics • 0.5B • Updated 27 days ago • 42