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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
Name: string
BIDSVersion: string
DatasetType: string
GeneratedBy: list<item: struct<Name: string, Version: string, Description: string, CodeURL: string>>
  child 0, item: struct<Name: string, Version: string, Description: string, CodeURL: string>
      child 0, Name: string
      child 1, Version: string
      child 2, Description: string
      child 3, CodeURL: string
DatasetLinks: struct<dynamic: string, pipeline-bodydyn: string>
  child 0, dynamic: string
  child 1, pipeline-bodydyn: string
License: string
Authors: list<item: string>
  child 0, item: string
ReferencesAndLinks: list<item: string>
  child 0, item: string
HowToAcknowledge: string
DatasetDOI: string
EthicsApprovals: list<item: string>
  child 0, item: string
to
{'Name': Value('string'), 'BIDSVersion': Value('string'), 'License': Value('string'), 'DatasetType': Value('string'), 'Authors': List(Value('string')), 'HowToAcknowledge': Value('string'), 'ReferencesAndLinks': List(Value('string')), 'DatasetDOI': Value('string'), 'EthicsApprovals': List(Value('string'))}
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
              Name: string
              BIDSVersion: string
              DatasetType: string
              GeneratedBy: list<item: struct<Name: string, Version: string, Description: string, CodeURL: string>>
                child 0, item: struct<Name: string, Version: string, Description: string, CodeURL: string>
                    child 0, Name: string
                    child 1, Version: string
                    child 2, Description: string
                    child 3, CodeURL: string
              DatasetLinks: struct<dynamic: string, pipeline-bodydyn: string>
                child 0, dynamic: string
                child 1, pipeline-bodydyn: string
              License: string
              Authors: list<item: string>
                child 0, item: string
              ReferencesAndLinks: list<item: string>
                child 0, item: string
              HowToAcknowledge: string
              DatasetDOI: string
              EthicsApprovals: list<item: string>
                child 0, item: string
              to
              {'Name': Value('string'), 'BIDSVersion': Value('string'), 'License': Value('string'), 'DatasetType': Value('string'), 'Authors': List(Value('string')), 'HowToAcknowledge': Value('string'), 'ReferencesAndLinks': List(Value('string')), 'DatasetDOI': Value('string'), 'EthicsApprovals': List(Value('string'))}
              because column names don't match

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Multimodal Healthy Control Dataset

100 healthy control volunteers (80 train, 20 test). The test set is released following the Big Cross-Modal Attenuation Correction Challenge (BIC-MAC) held in conjunction with MICCAI 2026.

Download

Full dataset (301 GB):

hf download DEPICT-RH/Multimodal-HC \
    --repo-type dataset \
    --local-dir ./Multimodal-HC

Without dynamic PET (71 GB):

The dyanamic PET acquisitions comprise a 75% of the dataset size. You can ommit them from the download:

hf download DEPICT-RH/Multimodal-HC \
    --repo-type dataset \
    --local-dir ./Multimodal-HC \
    --exclude "*acdynPSF*"
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