Dataset Viewer
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
participantId: string
deviceType: string
sessionId: string
roundIndex: int64
roundNumber: int64
promptOption: string
strokes: list<item: list<item: struct<x: double, y: double, t: int64>>>
  child 0, item: list<item: struct<x: double, y: double, t: int64>>
      child 0, item: struct<x: double, y: double, t: int64>
          child 0, x: double
          child 1, y: double
          child 2, t: int64
autoSubmitted: bool
bounds: struct<minX: double, minY: double, maxX: double, maxY: double>
  child 0, minX: double
  child 1, minY: double
  child 2, maxX: double
  child 3, maxY: double
pointCount: int64
outlineLabel: string
promptText: string
timeRemainingSec: int64
strokeCount: int64
timeLimitSec: int64
lineWidth: int64
submittedAt: string
elapsedSec: int64
imagePath: string
timeSpentSec: int64
to
{'participantId': Value('string'), 'deviceType': Value('string'), 'sessionId': Value('string'), 'roundIndex': Value('int64'), 'roundNumber': Value('int64'), 'submittedAt': Value('string'), 'promptOption': Value('string'), 'promptText': Value('string'), 'outlineLabel': Value('string'), 'autoSubmitted': Value('bool'), 'timeLimitSec': Value('int64'), 'timeSpentSec': Value('int64'), 'timeRemainingSec': Value('int64'), 'elapsedSec': Value('int64'), 'strokeCount': Value('int64'), 'pointCount': Value('int64'), 'bounds': {'minX': Value('float64'), 'minY': Value('float64'), 'maxX': Value('float64'), 'maxY': Value('float64')}, 'lineWidth': Value('int64'), 'imagePath': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              participantId: string
              deviceType: string
              sessionId: string
              roundIndex: int64
              roundNumber: int64
              promptOption: string
              strokes: list<item: list<item: struct<x: double, y: double, t: int64>>>
                child 0, item: list<item: struct<x: double, y: double, t: int64>>
                    child 0, item: struct<x: double, y: double, t: int64>
                        child 0, x: double
                        child 1, y: double
                        child 2, t: int64
              autoSubmitted: bool
              bounds: struct<minX: double, minY: double, maxX: double, maxY: double>
                child 0, minX: double
                child 1, minY: double
                child 2, maxX: double
                child 3, maxY: double
              pointCount: int64
              outlineLabel: string
              promptText: string
              timeRemainingSec: int64
              strokeCount: int64
              timeLimitSec: int64
              lineWidth: int64
              submittedAt: string
              elapsedSec: int64
              imagePath: string
              timeSpentSec: int64
              to
              {'participantId': Value('string'), 'deviceType': Value('string'), 'sessionId': Value('string'), 'roundIndex': Value('int64'), 'roundNumber': Value('int64'), 'submittedAt': Value('string'), 'promptOption': Value('string'), 'promptText': Value('string'), 'outlineLabel': Value('string'), 'autoSubmitted': Value('bool'), 'timeLimitSec': Value('int64'), 'timeSpentSec': Value('int64'), 'timeRemainingSec': Value('int64'), 'elapsedSec': Value('int64'), 'strokeCount': Value('int64'), 'pointCount': Value('int64'), 'bounds': {'minX': Value('float64'), 'minY': Value('float64'), 'maxX': Value('float64'), 'maxY': Value('float64')}, 'lineWidth': Value('int64'), 'imagePath': Value('string')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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