Datasets:

---

ahigazy1

/

adrenal-atlas-preprocessed

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
channel_names: struct<0: string>
  child 0, 0: string
file_ending: string
labels: struct<adrenal_gland_left: int64, adrenal_gland_right: int64, aorta: int64, background: int64, bladd (... 407 chars omitted)
  child 0, adrenal_gland_left: int64
  child 1, adrenal_gland_right: int64
  child 2, aorta: int64
  child 3, background: int64
  child 4, bladder: int64
  child 5, celiac_trunk: int64
  child 6, colon: int64
  child 7, duodenum: int64
  child 8, esophagus: int64
  child 9, femur_left: int64
  child 10, femur_right: int64
  child 11, gall_bladder: int64
  child 12, hepatic_vessel: int64
  child 13, intestine: int64
  child 14, kidney_left: int64
  child 15, kidney_right: int64
  child 16, liver: int64
  child 17, lung_left: int64
  child 18, lung_right: int64
  child 19, pancreas: int64
  child 20, portal_vein_and_splenic_vein: int64
  child 21, postcava: int64
  child 22, prostate: int64
  child 23, rectum: int64
  child 24, spleen: int64
  child 25, stomach: int64
numTraining: int64
overwrite_image_reader_writer: string
tar_bytes: int64
shard: string
n_b2nd: int64
data_identifier: string
fp_plans_sha: string
to
{'shard': Value('string'), 'data_identifier': Value('string'), 'fp_plans_sha': Value('string'), 'n_b2nd': Value('int64'), 'tar_bytes': Value('int64')}
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 299, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              channel_names: struct<0: string>
                child 0, 0: string
              file_ending: string
              labels: struct<adrenal_gland_left: int64, adrenal_gland_right: int64, aorta: int64, background: int64, bladd (... 407 chars omitted)
                child 0, adrenal_gland_left: int64
                child 1, adrenal_gland_right: int64
                child 2, aorta: int64
                child 3, background: int64
                child 4, bladder: int64
                child 5, celiac_trunk: int64
                child 6, colon: int64
                child 7, duodenum: int64
                child 8, esophagus: int64
                child 9, femur_left: int64
                child 10, femur_right: int64
                child 11, gall_bladder: int64
                child 12, hepatic_vessel: int64
                child 13, intestine: int64
                child 14, kidney_left: int64
                child 15, kidney_right: int64
                child 16, liver: int64
                child 17, lung_left: int64
                child 18, lung_right: int64
                child 19, pancreas: int64
                child 20, portal_vein_and_splenic_vein: int64
                child 21, postcava: int64
                child 22, prostate: int64
                child 23, rectum: int64
                child 24, spleen: int64
                child 25, stomach: int64
              numTraining: int64
              overwrite_image_reader_writer: string
              tar_bytes: int64
              shard: string
              n_b2nd: int64
              data_identifier: string
              fp_plans_sha: string
              to
              {'shard': Value('string'), 'data_identifier': Value('string'), 'fp_plans_sha': Value('string'), 'n_b2nd': Value('int64'), 'tar_bytes': Value('int64')}
              because column names don't match