Dataset Viewer
Duplicate
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
1: list<item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, (... 154 chars omitted)
  child 0, item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, area: doub (... 142 chars omitted)
      child 0, image_id: int64
      child 1, annotations: struct<segmentation: list<item: list<item: double>>, area: double, iscrowd: int64, image_id: int64,  (... 56 chars omitted)
          child 0, segmentation: list<item: list<item: double>>
              child 0, item: list<item: double>
                  child 0, item: double
          child 1, area: double
          child 2, iscrowd: int64
          child 3, image_id: int64
          child 4, bbox: list<item: double>
              child 0, item: double
          child 5, category_id: int64
          child 6, id: int64
      child 2, file_name: string
      child 3, width: int64
      child 4, height: int64
10: list<item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, (... 154 chars omitted)
  child 0, item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, area: doub (... 142 chars omitted)
      child 0, image_id: int64
      child 1, annotations: struct<segmentation: list<item: list<item: double>>, area: double, iscrowd: int64, image_id: int64,  (... 56 chars omitted)
          child 0, segmentation: list<item: list<item: double>>
              child 0, item: list<item:
...
        child 0, segmentation: list<item: list<item: double>>
              child 0, item: list<item: double>
                  child 0, item: double
          child 1, area: double
          child 2, iscrowd: int64
          child 3, image_id: int64
          child 4, bbox: list<item: double>
              child 0, item: double
          child 5, category_id: int64
          child 6, id: int64
      child 2, file_name: string
      child 3, width: int64
      child 4, height: int64
90: list<item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, (... 154 chars omitted)
  child 0, item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, area: doub (... 142 chars omitted)
      child 0, image_id: int64
      child 1, annotations: struct<segmentation: list<item: list<item: double>>, area: double, iscrowd: int64, image_id: int64,  (... 56 chars omitted)
          child 0, segmentation: list<item: list<item: double>>
              child 0, item: list<item: double>
                  child 0, item: double
          child 1, area: double
          child 2, iscrowd: int64
          child 3, image_id: int64
          child 4, bbox: list<item: double>
              child 0, item: double
          child 5, category_id: int64
          child 6, id: int64
      child 2, file_name: string
      child 3, width: int64
      child 4, height: int64
visual-train: null
visual-test: null
text-test: null
omni-test: null
to
{'visual-train': List(Json(decode=True)), 'visual-test': List(Json(decode=True)), 'text-test': List(Json(decode=True)), 'omni-test': List(Json(decode=True))}
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
              1: list<item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, (... 154 chars omitted)
                child 0, item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, area: doub (... 142 chars omitted)
                    child 0, image_id: int64
                    child 1, annotations: struct<segmentation: list<item: list<item: double>>, area: double, iscrowd: int64, image_id: int64,  (... 56 chars omitted)
                        child 0, segmentation: list<item: list<item: double>>
                            child 0, item: list<item: double>
                                child 0, item: double
                        child 1, area: double
                        child 2, iscrowd: int64
                        child 3, image_id: int64
                        child 4, bbox: list<item: double>
                            child 0, item: double
                        child 5, category_id: int64
                        child 6, id: int64
                    child 2, file_name: string
                    child 3, width: int64
                    child 4, height: int64
              10: list<item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, (... 154 chars omitted)
                child 0, item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, area: doub (... 142 chars omitted)
                    child 0, image_id: int64
                    child 1, annotations: struct<segmentation: list<item: list<item: double>>, area: double, iscrowd: int64, image_id: int64,  (... 56 chars omitted)
                        child 0, segmentation: list<item: list<item: double>>
                            child 0, item: list<item:
              ...
                      child 0, segmentation: list<item: list<item: double>>
                            child 0, item: list<item: double>
                                child 0, item: double
                        child 1, area: double
                        child 2, iscrowd: int64
                        child 3, image_id: int64
                        child 4, bbox: list<item: double>
                            child 0, item: double
                        child 5, category_id: int64
                        child 6, id: int64
                    child 2, file_name: string
                    child 3, width: int64
                    child 4, height: int64
              90: list<item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, (... 154 chars omitted)
                child 0, item: struct<image_id: int64, annotations: struct<segmentation: list<item: list<item: double>>, area: doub (... 142 chars omitted)
                    child 0, image_id: int64
                    child 1, annotations: struct<segmentation: list<item: list<item: double>>, area: double, iscrowd: int64, image_id: int64,  (... 56 chars omitted)
                        child 0, segmentation: list<item: list<item: double>>
                            child 0, item: list<item: double>
                                child 0, item: double
                        child 1, area: double
                        child 2, iscrowd: int64
                        child 3, image_id: int64
                        child 4, bbox: list<item: double>
                            child 0, item: double
                        child 5, category_id: int64
                        child 6, id: int64
                    child 2, file_name: string
                    child 3, width: int64
                    child 4, height: int64
              visual-train: null
              visual-test: null
              text-test: null
              omni-test: null
              to
              {'visual-train': List(Json(decode=True)), 'visual-test': List(Json(decode=True)), 'text-test': List(Json(decode=True)), 'omni-test': List(Json(decode=True))}
              because column names don't match

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