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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
RawSources: list<item: string>
  child 0, item: string
Type: string
PipelineDescription: struct<Name: string, Version: string, CodeURL: string>
  child 0, Name: string
  child 1, Version: string
  child 2, CodeURL: string
BIDSVersion: string
CodeURL: string
HowToAcknowledge: string
Name: string
to
{'Name': Value('string'), 'BIDSVersion': Value('string'), 'PipelineDescription': {'Name': Value('string'), 'Version': Value('string'), 'CodeURL': Value('string')}, 'CodeURL': Value('string'), 'HowToAcknowledge': 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
              RawSources: list<item: string>
                child 0, item: string
              Type: string
              PipelineDescription: struct<Name: string, Version: string, CodeURL: string>
                child 0, Name: string
                child 1, Version: string
                child 2, CodeURL: string
              BIDSVersion: string
              CodeURL: string
              HowToAcknowledge: string
              Name: string
              to
              {'Name': Value('string'), 'BIDSVersion': Value('string'), 'PipelineDescription': {'Name': Value('string'), 'Version': Value('string'), 'CodeURL': Value('string')}, 'CodeURL': Value('string'), 'HowToAcknowledge': Value('string')}
              because column names don't match

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Sherlock

Naturalistic fMRI dataset: 16 subjects watched ~50 minutes of Sherlock across two scanning runs (Part1, Part2) and then verbally recalled the narrative in the scanner. TR = 1.5 s.

This repo mirrors the fmriprep-preprocessed dataset originally distributed via DataLad at https://gin.g-node.org/ljchang/Sherlock. fmriprep version 1.2.6-1.

Layout

fmriprep/sub-XX/
  anat/  func/  figures/  log/
onsets/
  Sherlock_Crop_Onsets.csv
  Sherlock_Recall_Scene_n50_Onsets.csv
  Sherlock_Watch_Scene_N50_Onsets.csv
  Sherlock_Segments_1000_NN_2017.xlsx
stimuli/
  stimuli_Sherlock.m4v          # Part1 video (25 min)
  video_text.npy                # text features

Access via dartbrains-tools

from dartbrains_tools.data import sherlock

bold = sherlock.get_file("sub-01", task="sherlockPart1", suffix="bold")
confounds = sherlock.load_confounds("sub-01", task="sherlockPart1")

See https://dartbrains.org for the full tutorial.

Citation

Chen, J., Leong, Y., Honey, C. et al. Shared memories reveal shared structure in neural activity across individuals. Nat Neurosci 20, 115–125 (2017). https://doi.org/10.1038/nn.4450

Original raw data: OpenNeuro ds002345.

License

CC-BY-NC-4.0 (matches the upstream OpenNeuro release).

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