The dataset viewer is not available for this split.
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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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).
- Downloads last month
- 50