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
aor: double
aqi: double
bids_meta: struct<AcquisitionNumber: int64, AcquisitionTime: string, BandwidthPerPixelPhaseEncode: double, Conv (... 734 chars omitted)
  child 0, AcquisitionNumber: int64
  child 1, AcquisitionTime: string
  child 2, BandwidthPerPixelPhaseEncode: double
  child 3, ConversionSoftware: string
  child 4, ConversionSoftwareVersion: string
  child 5, DeviceSerialNumber: string
  child 6, EchoTime: double
  child 7, EffectiveEchoSpacing: double
  child 8, FlipAngle: int64
  child 9, ImageType: list<item: string>
      child 0, item: string
  child 10, InstitutionAddress: string
  child 11, InstitutionName: string
  child 12, MagneticFieldStrength: int64
  child 13, Manufacturer: string
  child 14, ManufacturersModelName: string
  child 15, PhaseEncodingDirection: string
  child 16, PhaseEncodingLines: int64
  child 17, ProcedureStepDescription: string
  child 18, ProtocolName: string
  child 19, RepetitionTime: int64
  child 20, ScanningSequence: string
  child 21, SequenceName: string
  child 22, SequenceVariant: string
  child 23, SeriesDescription: string
  child 24, SliceTiming: list<item: double>
      child 0, item: double
  child 25, SoftwareVersions: string
  child 26, TotalReadoutTime: double
  child 27, modality: string
  child 28, run_id: string
  child 29, session_id: string
  child 30, subject_id: string
  child 31, task_id: string
dummy_trs: int64
dvars_nstd: double
dvars_std: double
dvars_vstd: double
efc: double
fber: double
fd_mean: double
fd_num: int64
fd_perc: double
fwhm_avg: double
fwhm_x: double
fwhm_y: double
fwhm_z: double
gcor: double
gsr_x: double
gsr_y: double
provenance: struct<md5sum: string, settings: struct<fd_thres: double, hmc_fsl: bool>, software: string, version: (... 45 chars omitted)
  child 0, md5sum: string
  child 1, settings: struct<fd_thres: double, hmc_fsl: bool>
      child 0, fd_thres: double
      child 1, hmc_fsl: bool
  child 2, software: string
  child 3, version: string
  child 4, webapi_port: null
  child 5, webapi_url: null
size_t: int64
size_x: int64
size_y: int64
size_z: int64
snr: double
spacing_tr: double
spacing_x: double
spacing_y: double
spacing_z: double
summary_bg_k: double
summary_bg_mad: double
summary_bg_mean: double
summary_bg_median: double
summary_bg_n: double
summary_bg_p05: double
summary_bg_p95: double
summary_bg_stdv: double
summary_fg_k: double
summary_fg_mad: double
summary_fg_mean: double
summary_fg_median: double
summary_fg_n: double
summary_fg_p05: double
summary_fg_p95: double
summary_fg_stdv: double
tsnr: double
Acknowledgements: string
ReferencesAndLinks: list<item: string>
  child 0, item: string
HowToAcknowledge: string
License: string
Name: string
Funding: string
BIDSVersion: string
DatasetDOI: string
Authors: list<item: string>
  child 0, item: string
to
{'Name': Value('string'), 'License': Value('string'), 'Authors': List(Value('string')), 'Acknowledgements': Value('string'), 'HowToAcknowledge': Value('string'), 'Funding': Value('string'), 'ReferencesAndLinks': List(Value('string')), 'DatasetDOI': Value('string'), 'BIDSVersion': 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 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
              aor: double
              aqi: double
              bids_meta: struct<AcquisitionNumber: int64, AcquisitionTime: string, BandwidthPerPixelPhaseEncode: double, Conv (... 734 chars omitted)
                child 0, AcquisitionNumber: int64
                child 1, AcquisitionTime: string
                child 2, BandwidthPerPixelPhaseEncode: double
                child 3, ConversionSoftware: string
                child 4, ConversionSoftwareVersion: string
                child 5, DeviceSerialNumber: string
                child 6, EchoTime: double
                child 7, EffectiveEchoSpacing: double
                child 8, FlipAngle: int64
                child 9, ImageType: list<item: string>
                    child 0, item: string
                child 10, InstitutionAddress: string
                child 11, InstitutionName: string
                child 12, MagneticFieldStrength: int64
                child 13, Manufacturer: string
                child 14, ManufacturersModelName: string
                child 15, PhaseEncodingDirection: string
                child 16, PhaseEncodingLines: int64
                child 17, ProcedureStepDescription: string
                child 18, ProtocolName: string
                child 19, RepetitionTime: int64
                child 20, ScanningSequence: string
                child 21, SequenceName: string
                child 22, SequenceVariant: string
                child 23, SeriesDescription: string
                child 24, SliceTiming: list<item: double>
                    child 0, item: double
                child 25, SoftwareVersions: string
                child 26, TotalReadoutTime: double
                child 27, modality: string
                child 28, run_id: string
                child 29, session_id: string
                child 30, subject_id: string
                child 31, task_id: string
              dummy_trs: int64
              dvars_nstd: double
              dvars_std: double
              dvars_vstd: double
              efc: double
              fber: double
              fd_mean: double
              fd_num: int64
              fd_perc: double
              fwhm_avg: double
              fwhm_x: double
              fwhm_y: double
              fwhm_z: double
              gcor: double
              gsr_x: double
              gsr_y: double
              provenance: struct<md5sum: string, settings: struct<fd_thres: double, hmc_fsl: bool>, software: string, version: (... 45 chars omitted)
                child 0, md5sum: string
                child 1, settings: struct<fd_thres: double, hmc_fsl: bool>
                    child 0, fd_thres: double
                    child 1, hmc_fsl: bool
                child 2, software: string
                child 3, version: string
                child 4, webapi_port: null
                child 5, webapi_url: null
              size_t: int64
              size_x: int64
              size_y: int64
              size_z: int64
              snr: double
              spacing_tr: double
              spacing_x: double
              spacing_y: double
              spacing_z: double
              summary_bg_k: double
              summary_bg_mad: double
              summary_bg_mean: double
              summary_bg_median: double
              summary_bg_n: double
              summary_bg_p05: double
              summary_bg_p95: double
              summary_bg_stdv: double
              summary_fg_k: double
              summary_fg_mad: double
              summary_fg_mean: double
              summary_fg_median: double
              summary_fg_n: double
              summary_fg_p05: double
              summary_fg_p95: double
              summary_fg_stdv: double
              tsnr: double
              Acknowledgements: string
              ReferencesAndLinks: list<item: string>
                child 0, item: string
              HowToAcknowledge: string
              License: string
              Name: string
              Funding: string
              BIDSVersion: string
              DatasetDOI: string
              Authors: list<item: string>
                child 0, item: string
              to
              {'Name': Value('string'), 'License': Value('string'), 'Authors': List(Value('string')), 'Acknowledgements': Value('string'), 'HowToAcknowledge': Value('string'), 'Funding': Value('string'), 'ReferencesAndLinks': List(Value('string')), 'DatasetDOI': Value('string'), 'BIDSVersion': Value('string')}
              because column names don't match

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