Datasets:

---

EmbodiedSWE

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tool_packing_franka_diffik.raw_15hz_20260910

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EmbodiedSWE 3

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
camera: string
video: string
video_crf: int64
size: list<item: int64>
  child 0, item: int64
fps: int64
stride: int64
sim_dt: double
step_dt: double
frame_indices: list<item: int64>
  child 0, item: int64
eye: list<item: double>
  child 0, item: double
target: list<item: double>
  child 0, item: double
focal: double
link: null
cam_draw: int64
env_spacing: double
joint_names: list<item: string>
  child 0, item: string
scene_description: string
success: bool
cell: string
visual_hook: null
visual_draw: null
visual_values: struct<>
created: timestamp[s]
refreshed: timestamp[s]
batches: list<item: string>
  child 0, item: string
episodes: int64
successes: int64
success_rate: double
to
{'episodes': Value('int64'), 'successes': Value('int64'), 'success_rate': Value('float64'), 'batches': List(Value('string')), 'refreshed': Value('timestamp[s]')}
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
              camera: string
              video: string
              video_crf: int64
              size: list<item: int64>
                child 0, item: int64
              fps: int64
              stride: int64
              sim_dt: double
              step_dt: double
              frame_indices: list<item: int64>
                child 0, item: int64
              eye: list<item: double>
                child 0, item: double
              target: list<item: double>
                child 0, item: double
              focal: double
              link: null
              cam_draw: int64
              env_spacing: double
              joint_names: list<item: string>
                child 0, item: string
              scene_description: string
              success: bool
              cell: string
              visual_hook: null
              visual_draw: null
              visual_values: struct<>
              created: timestamp[s]
              refreshed: timestamp[s]
              batches: list<item: string>
                child 0, item: string
              episodes: int64
              successes: int64
              success_rate: double
              to
              {'episodes': Value('int64'), 'successes': Value('int64'), 'success_rate': Value('float64'), 'batches': List(Value('string')), 'refreshed': Value('timestamp[s]')}
              because column names don't match