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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
TaskName: string
Manufacturer: string
PowerLineFrequency: double
SamplingFrequency: double
SoftwareFilters: string
RecordingDuration: double
RecordingType: string
EEGReference: string
EEGGround: string
EEGPlacementScheme: string
EEGChannelCount: int64
EOGChannelCount: int64
ECGChannelCount: int64
EMGChannelCount: int64
TriggerChannelCount: int64
ManufacturersModelName: string
SoftwareVersions: string
CapManufacturer: string
HardwareFilters: string
TaskDescription: string
Instructions: string
CogAtlasID: string
InstitutionName: string
InstitutionAddress: string
InstitutionalDepartmentName: string
CapManufacturersModelName: string
SubjectArtefactDescription: string
DeviceSerialNumber: string
Description: string
MISCChannelCount: int64
to
{'Description': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
              TaskName: string
              Manufacturer: string
              PowerLineFrequency: double
              SamplingFrequency: double
              SoftwareFilters: string
              RecordingDuration: double
              RecordingType: string
              EEGReference: string
              EEGGround: string
              EEGPlacementScheme: string
              EEGChannelCount: int64
              EOGChannelCount: int64
              ECGChannelCount: int64
              EMGChannelCount: int64
              TriggerChannelCount: int64
              ManufacturersModelName: string
              SoftwareVersions: string
              CapManufacturer: string
              HardwareFilters: string
              TaskDescription: string
              Instructions: string
              CogAtlasID: string
              InstitutionName: string
              InstitutionAddress: string
              InstitutionalDepartmentName: string
              CapManufacturersModelName: string
              SubjectArtefactDescription: string
              DeviceSerialNumber: string
              Description: string
              MISCChannelCount: int64
              to
              {'Description': Value('string')}
              because column names don't match

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PERSIST-EEG Stage-0 public data mirror

Public, byte-preserving research mirror for PERSIST-EEG Stage-0. This repository is a mirror, not a newly collected dataset; it does not impose one new repository-wide license. Each subdataset retains its applicable upstream license and notices.

Included upstream datasets:

  • Lee et al. 2019 OpenBMI Motor Imagery, ERP/P300, and SSVEP: 54 participants and two sessions; original GigaDB dataset 100542, DOI 10.5524/100542, released under CC0. When present, files are NEMAR BIDS-formatted derivatives (nm000338, nm000323, nm000273), not the untouched GigaDB archive. NEMAR version, derivative details, and upstream format/provenance are in SOURCE_PROVENANCE.md.
  • EEG Motor Movement/Imagery Dataset v1.0.0: 109 participants, PhysioNet source, DOI 10.13026/C28G6P, Open Data Commons Attribution License v1.0. Required attribution and notice are retained in LICENSE_AUDIT.md.

The mirror performs no filtering, resampling, rereferencing, normalization, epoching, channel selection, artifact rejection, feature extraction, or label alteration. OpenBMI's NEMAR distributions are BIDS-formatted derivatives and are identified as such in SOURCE_PROVENANCE.md.

Licensing and attribution are documented in LICENSE_AUDIT.md. Per-file SHA256, source URLs, retrieval dates, transfer state, completeness tables, and verification results are under metadata/.

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