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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
0: struct<instance_bddl: string, source_task: string, source_demo_index: int64, params: string, light_p (... 14 chars omitted)
  child 0, instance_bddl: string
  child 1, source_task: string
  child 2, source_demo_index: int64
  child 3, params: string
  child 4, light_params: string
1: struct<instance_bddl: string, source_task: string, source_demo_index: int64, params: string, light_p (... 14 chars omitted)
  child 0, instance_bddl: string
  child 1, source_task: string
  child 2, source_demo_index: int64
  child 3, params: string
  child 4, light_params: string
2: struct<instance_bddl: string, source_task: string, source_demo_index: int64, params: string, light_p (... 14 chars omitted)
  child 0, instance_bddl: string
  child 1, source_task: string
  child 2, source_demo_index: int64
  child 3, params: string
  child 4, light_params: string
3: struct<instance_bddl: string, source_task: string, source_demo_index: int64, params: string, light_p (... 14 chars omitted)
  child 0, instance_bddl: string
  child 1, source_task: string
  child 2, source_demo_index: int64
  child 3, params: string
  child 4, light_params: string
4: struct<instance_bddl: string, source_task: string, source_demo_index: int64, params: string, light_p (... 14 chars omitted)
  child 0, instance_bddl: string
  child 1, source_task: string
  child 2, source_demo_index: int64
  child 3, params: string
  child 4, light_params: string
5: struct<instance_bddl: string, source_task: string, source_demo_index: in
...
8, video.g: int64
              child 9, video.crf: int64
              child 10, video.preset: int64
              child 11, video.fast_decode: int64
              child 12, video.video_backend: string
              child 13, video.extra_options: struct<>
      child 3, observation.images.sideview_image: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.height (... 298 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 (... 216 chars omitted)
              child 0, video.height: int64
              child 1, video.width: int64
              child 2, video.codec: 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 8, video.g: int64
              child 9, video.crf: int64
              child 10, video.preset: int64
              child 11, video.fast_decode: int64
              child 12, video.video_backend: string
              child 13, video.extra_options: struct<>
  child 16, original_video_source: string
  child 17, video_policy: string
data_files_size_in_mb: int64
to
{'codebase_version': Value('string'), 'fps': Value('int64'), 'features': {'Time': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string'), 'unit': Value('string')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'sample_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_0': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_1': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_2': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_3': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_4': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_5': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_6': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_7': {'dtype': Value('string'), 'shape': List(Value('int64')
...
channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('int64'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}}}, 'observation.images.frontview_image': {'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'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('int64'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}}}, 'observation.images.sideview_image': {'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'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('int64'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}}}}, 'original_video_source': Value('string'), 'video_policy': Value('string')}}
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/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 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
              0: struct<instance_bddl: string, source_task: string, source_demo_index: int64, params: string, light_p (... 14 chars omitted)
                child 0, instance_bddl: string
                child 1, source_task: string
                child 2, source_demo_index: int64
                child 3, params: string
                child 4, light_params: string
              1: struct<instance_bddl: string, source_task: string, source_demo_index: int64, params: string, light_p (... 14 chars omitted)
                child 0, instance_bddl: string
                child 1, source_task: string
                child 2, source_demo_index: int64
                child 3, params: string
                child 4, light_params: string
              2: struct<instance_bddl: string, source_task: string, source_demo_index: int64, params: string, light_p (... 14 chars omitted)
                child 0, instance_bddl: string
                child 1, source_task: string
                child 2, source_demo_index: int64
                child 3, params: string
                child 4, light_params: string
              3: struct<instance_bddl: string, source_task: string, source_demo_index: int64, params: string, light_p (... 14 chars omitted)
                child 0, instance_bddl: string
                child 1, source_task: string
                child 2, source_demo_index: int64
                child 3, params: string
                child 4, light_params: string
              4: struct<instance_bddl: string, source_task: string, source_demo_index: int64, params: string, light_p (... 14 chars omitted)
                child 0, instance_bddl: string
                child 1, source_task: string
                child 2, source_demo_index: int64
                child 3, params: string
                child 4, light_params: string
              5: struct<instance_bddl: string, source_task: string, source_demo_index: in
              ...
              8, video.g: int64
                            child 9, video.crf: int64
                            child 10, video.preset: int64
                            child 11, video.fast_decode: int64
                            child 12, video.video_backend: string
                            child 13, video.extra_options: struct<>
                    child 3, observation.images.sideview_image: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.height (... 298 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 (... 216 chars omitted)
                            child 0, video.height: int64
                            child 1, video.width: int64
                            child 2, video.codec: 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 8, video.g: int64
                            child 9, video.crf: int64
                            child 10, video.preset: int64
                            child 11, video.fast_decode: int64
                            child 12, video.video_backend: string
                            child 13, video.extra_options: struct<>
                child 16, original_video_source: string
                child 17, video_policy: string
              data_files_size_in_mb: int64
              to
              {'codebase_version': Value('string'), 'fps': Value('int64'), 'features': {'Time': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string'), 'unit': Value('string')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'sample_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_0': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_1': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_2': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_3': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_4': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_5': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_6': {'dtype': Value('string'), 'shape': List(Value('int64')), 'tsfile_role': Value('string')}, 'observation_state_7': {'dtype': Value('string'), 'shape': List(Value('int64')
              ...
              channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('int64'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}}}, 'observation.images.frontview_image': {'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'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('int64'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}}}, 'observation.images.sideview_image': {'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'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('int64'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}}}}, 'original_video_source': Value('string'), 'video_policy': Value('string')}}
              because column names don't match

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libero_plus_object_lightinggrid_all_iiwa_failures (TsFile)

Apache TsFile version of LSY-lab/libero_plus_object_lightinggrid_all_iiwa_failures.

Overview

A LeRobot robot manipulation dataset. Each frame holds the commanded action and observed observation.state joint positions; camera views are stored as videos in the original dataset.

  • Episodes: 98
  • Frames: 19566
  • Sampling rate: 20 fps
  • Tasks: 9
  • Split: a single train split
  • Robot: iiwa
  • Cameras (not uploaded): image, wrist_image, frontview_image, sideview_image

Schema (TsFile structure)

All episodes share one TsFile with episode_index and task_index as TAG columns; query a single episode with WHERE episode_index = N.

  • Time (INT64, milliseconds) — round(timestamp * 1000); the source timestamp column is dropped (it equals Time / 1000).
  • episode_index (TAG) — device dimension.
  • task_index (TAG) — device dimension.
  • frame_index (INT64) — measurement.
  • sample_index (INT64) — measurement.
  • action_0..N (FLOAT) — commanded joints.
  • ee_state_0..N (FLOAT) — measurement.
  • gripper_state_0..N (FLOAT) — measurement.
  • joint_state_0..N (FLOAT) — measurement.
  • state_0..N (FLOAT) — measurement.

Vector columns are flattened element-wise with an index suffix.

Usage

Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:

from pathlib import Path
from tsfile import TsFileReader

path = Path("data/libero_plus_object_lightinggrid_all_iiwa_failures.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())

Source & license

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