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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
task_id: string
user_task_description: string
high_level_task_description: string
steps: list<item: struct<step_num: int64, image: string, action: string, milestone: bool, inner_monologue:  (... 207 chars omitted)
  child 0, item: struct<step_num: int64, image: string, action: string, milestone: bool, inner_monologue: struct<obse (... 195 chars omitted)
      child 0, step_num: int64
      child 1, image: string
      child 2, action: string
      child 3, milestone: bool
      child 4, inner_monologue: struct<observation: string, thought: string, low_level_instruction: string>
          child 0, observation: string
          child 1, thought: string
          child 2, low_level_instruction: string
      child 5, ground_truth_actions: list<item: struct<type: string, params: struct<text: string>, metadata: struct<bboxes: list<item: nu (... 6 chars omitted)
          child 0, item: struct<type: string, params: struct<text: string>, metadata: struct<bboxes: list<item: null>>>
              child 0, type: string
              child 1, params: struct<text: string>
                  child 0, text: string
              child 2, metadata: struct<bboxes: list<item: null>>
                  child 0, bboxes: list<item: null>
                      child 0, item: null
meta_info: struct<source: string, jsonl_line: int64, state_key: string, current_image: string, next_image: stri (... 66 chars omitted)
  child 0, source: string
  child 1, jsonl_line: int64
  child 2, state_key: string
  child 3, current_image: string
  child 4, next_image: string
  child 5, action_nl: string
  child 6, wm_distribution: string
  child 7, cot_level: string
linked_images: int64
rows_seen: int64
skipped_unchanged: int64
skipped_no_action: int64
tasks_written: int64
skipped_unparseable_gt: int64
skipped_missing: int64
to
{'rows_seen': Value('int64'), 'tasks_written': Value('int64'), 'skipped_missing': Value('int64'), 'skipped_unchanged': Value('int64'), 'skipped_no_action': Value('int64'), 'skipped_unparseable_gt': Value('int64'), 'linked_images': Value('int64')}
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
              task_id: string
              user_task_description: string
              high_level_task_description: string
              steps: list<item: struct<step_num: int64, image: string, action: string, milestone: bool, inner_monologue:  (... 207 chars omitted)
                child 0, item: struct<step_num: int64, image: string, action: string, milestone: bool, inner_monologue: struct<obse (... 195 chars omitted)
                    child 0, step_num: int64
                    child 1, image: string
                    child 2, action: string
                    child 3, milestone: bool
                    child 4, inner_monologue: struct<observation: string, thought: string, low_level_instruction: string>
                        child 0, observation: string
                        child 1, thought: string
                        child 2, low_level_instruction: string
                    child 5, ground_truth_actions: list<item: struct<type: string, params: struct<text: string>, metadata: struct<bboxes: list<item: nu (... 6 chars omitted)
                        child 0, item: struct<type: string, params: struct<text: string>, metadata: struct<bboxes: list<item: null>>>
                            child 0, type: string
                            child 1, params: struct<text: string>
                                child 0, text: string
                            child 2, metadata: struct<bboxes: list<item: null>>
                                child 0, bboxes: list<item: null>
                                    child 0, item: null
              meta_info: struct<source: string, jsonl_line: int64, state_key: string, current_image: string, next_image: stri (... 66 chars omitted)
                child 0, source: string
                child 1, jsonl_line: int64
                child 2, state_key: string
                child 3, current_image: string
                child 4, next_image: string
                child 5, action_nl: string
                child 6, wm_distribution: string
                child 7, cot_level: string
              linked_images: int64
              rows_seen: int64
              skipped_unchanged: int64
              skipped_no_action: int64
              tasks_written: int64
              skipped_unparseable_gt: int64
              skipped_missing: int64
              to
              {'rows_seen': Value('int64'), 'tasks_written': Value('int64'), 'skipped_missing': Value('int64'), 'skipped_unchanged': Value('int64'), 'skipped_no_action': Value('int64'), 'skipped_unparseable_gt': Value('int64'), 'linked_images': Value('int64')}
              because column names don't match

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