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Gulan06
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frozen-tribe-mofomic-reproduction-data

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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
AcquisitionMatrixPE: int64
AcquisitionNumber: int64
AcquisitionTime: string
BandwidthPerPixelPhaseEncode: double
BaseResolution: int64
BodyPartExamined: string
ConsistencyInfo: string
ConversionSoftware: string
ConversionSoftwareVersion: string
DerivedVendorReportedEchoSpacing: double
DeviceSerialNumber: string
DwellTime: double
EchoTime: double
EchoTrainLength: int64
EffectiveEchoSpacing: double
FlipAngle: int64
ImageComments: string
ImageOrientationPatientDICOM: list<item: double>
  child 0, item: double
ImageType: list<item: string>
  child 0, item: string
ImagingFrequency: double
InPlanePhaseEncodingDirectionDICOM: string
InstitutionAddress: string
InstitutionName: string
InstitutionalDepartmentName: string
MRAcquisitionType: string
MagneticFieldStrength: int64
Manufacturer: string
ManufacturersModelName: string
Modality: string
MultibandAccelerationFactor: int64
PartialFourier: double
PatientPosition: string
PercentPhaseFOV: int64
PhaseEncodingDirection: string
PhaseEncodingSteps: int64
PhaseResolution: int64
PixelBandwidth: int64
ProcedureStepDescription: string
ProtocolName: string
PulseSequenceDetails: string
ReceiveCoilActiveElements: string
ReceiveCoilName: string
ReconMatrixPE: int64
RepetitionTime: double
SAR: double
ScanOptions: string
ScanningSequence: string
SequenceName: string
SequenceVariant: string
SeriesDescription: string
SeriesNumber: int64
ShimSetting: list<item: int64>
  child 0, item: int64
SliceThickness: int64
SliceTiming: list<item: double>
  child 0, item: double
SoftwareVersions: string
SpacingBetweenSlices: int64
StationName: string
TaskName: string
TotalReadoutTime: double
TxRefAmp: double
WipMemBlock: string
#type: string
#key: string
start: null
duration: double
data: struct<filename: string, offset: int64, shape: list<item: int64>, dtype: string, #type: string>
  child 0, filename: string
  child 1, offset: int64
  child 2, shape: list<item: int64>
      child 0, item: int64
  child 3, dtype: string
  child 4, #type: string
frequency: double
to
{'data': {'filename': Value('string'), 'offset': Value('int64'), 'shape': List(Value('int64')), 'dtype': Value('string'), '#type': Value('string')}, 'frequency': Value('float64'), 'start': Value('null'), 'duration': Value('float64'), '#type': Value('string'), '#key': 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              AcquisitionMatrixPE: int64
              AcquisitionNumber: int64
              AcquisitionTime: string
              BandwidthPerPixelPhaseEncode: double
              BaseResolution: int64
              BodyPartExamined: string
              ConsistencyInfo: string
              ConversionSoftware: string
              ConversionSoftwareVersion: string
              DerivedVendorReportedEchoSpacing: double
              DeviceSerialNumber: string
              DwellTime: double
              EchoTime: double
              EchoTrainLength: int64
              EffectiveEchoSpacing: double
              FlipAngle: int64
              ImageComments: string
              ImageOrientationPatientDICOM: list<item: double>
                child 0, item: double
              ImageType: list<item: string>
                child 0, item: string
              ImagingFrequency: double
              InPlanePhaseEncodingDirectionDICOM: string
              InstitutionAddress: string
              InstitutionName: string
              InstitutionalDepartmentName: string
              MRAcquisitionType: string
              MagneticFieldStrength: int64
              Manufacturer: string
              ManufacturersModelName: string
              Modality: string
              MultibandAccelerationFactor: int64
              PartialFourier: double
              PatientPosition: string
              PercentPhaseFOV: int64
              PhaseEncodingDirection: string
              PhaseEncodingSteps: int64
              PhaseResolution: int64
              PixelBandwidth: int64
              ProcedureStepDescription: string
              ProtocolName: string
              PulseSequenceDetails: string
              ReceiveCoilActiveElements: string
              ReceiveCoilName: string
              ReconMatrixPE: int64
              RepetitionTime: double
              SAR: double
              ScanOptions: string
              ScanningSequence: string
              SequenceName: string
              SequenceVariant: string
              SeriesDescription: string
              SeriesNumber: int64
              ShimSetting: list<item: int64>
                child 0, item: int64
              SliceThickness: int64
              SliceTiming: list<item: double>
                child 0, item: double
              SoftwareVersions: string
              SpacingBetweenSlices: int64
              StationName: string
              TaskName: string
              TotalReadoutTime: double
              TxRefAmp: double
              WipMemBlock: string
              #type: string
              #key: string
              start: null
              duration: double
              data: struct<filename: string, offset: int64, shape: list<item: int64>, dtype: string, #type: string>
                child 0, filename: string
                child 1, offset: int64
                child 2, shape: list<item: int64>
                    child 0, item: int64
                child 3, dtype: string
                child 4, #type: string
              frequency: double
              to
              {'data': {'filename': Value('string'), 'offset': Value('int64'), 'shape': List(Value('int64')), 'dtype': Value('string'), '#type': Value('string')}, 'frequency': Value('float64'), 'start': Value('null'), 'duration': Value('float64'), '#type': Value('string'), '#key': Value('string')}
              because column names don't match

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MOFOMIC frozen-TRIBE reproduction

This private repository is a readable, lossless archive of the data, intermediate products, predictions, result tables, figures, and logs used for the frozen TRIBE reproduction. The model was not fine-tuned on this target dataset.

Source and scope

  • Dataset/model source: OpenNeuro ds007391; frozen facebook/tribev2 checkpoint
  • Archive created: 2026-08-22T19:05:19.210189+00:00
  • Hugging Face repository: Gulan06/frozen-tribe-mofomic-reproduction-data
  • Archive policy: source files are removed from yhuiwu only after an exact repository path-and-size verification succeeds.

Directory guide

  • data/raw/ — original dataset materialization.
  • data/results/ — frozen predictions, intermediate arrays, metrics, tables, figures, and completed analysis outputs.
  • logs/ — run and worker logs retained for reproducibility.
  • code/ — dataset-specific audit/helper code captured with the run.
  • metadata/ — source mapping, complete file inventory, and upload verification.

Archived source mapping

  • data/raw/ds007391 — archived from /home/yhuiwu/tribe_nfed_bundle/data/ds007391
  • data/cache/audited_transfer_full — archived from /home/yhuiwu/tribe_nfed_bundle/cache/mofomic_audited_transfer_full_cache_a
  • data/results/mofomic_audited_transfer_full_a — archived from /home/yhuiwu/tribe_nfed_bundle/results/mofomic_audited_transfer_full_a
  • data/results/mofomic_brainmaps_v1 — archived from /home/yhuiwu/tribe_nfed_bundle/results/mofomic_brainmaps_v1
  • data/results/mofomic_delay_ablation_current_v1 — archived from /home/yhuiwu/tribe_nfed_bundle/results/mofomic_delay_ablation_current_v1
  • data/results/mofomic_delay_ablation_current_v2_neg — archived from /home/yhuiwu/tribe_nfed_bundle/results/mofomic_delay_ablation_current_v2_neg
  • data/results/mofomic_exact_sub-01_run-01.mp4 — archived from /home/yhuiwu/tribe_nfed_bundle/results/mofomic_exact_sub-01_run-01.mp4
  • data/results/mofomic_exact_sub-01_run-01_frame_9s.png — archived from /home/yhuiwu/tribe_nfed_bundle/results/mofomic_exact_sub-01_run-01_frame_9s.png
  • data/results/mofomic_prediction_variability_current_v1 — archived from /home/yhuiwu/tribe_nfed_bundle/results/mofomic_prediction_variability_current_v1
  • data/results/mofomic_single_frame_paperstyle — archived from /home/yhuiwu/tribe_nfed_bundle/results/mofomic_single_frame_paperstyle
  • data/results/mofomic_visual_examples_v1 — archived from /home/yhuiwu/tribe_nfed_bundle/results/mofomic_visual_examples_v1
  • logs/mofomic_full_2026-07-29.log — archived from /home/yhuiwu/tribe_nfed_bundle/logs/mofomic_full_2026-07-29.log
  • logs/mofomic_image_smoke.log — archived from /home/yhuiwu/tribe_nfed_bundle/logs/mofomic_image_smoke.log
  • logs/mofomic_strict_20260730.log — archived from /home/yhuiwu/tribe_nfed_bundle/logs/mofomic_strict_20260730.log
  • logs/mofomic_strict_20260730_gpu6.log — archived from /home/yhuiwu/tribe_nfed_bundle/logs/mofomic_strict_20260730_gpu6.log
  • logs/mofomic_strict_20260730_gpu6_halfA.log — archived from /home/yhuiwu/tribe_nfed_bundle/logs/mofomic_strict_20260730_gpu6_halfA.log
  • logs/mofomic_strict_20260730_gpu7_halfB.log — archived from /home/yhuiwu/tribe_nfed_bundle/logs/mofomic_strict_20260730_gpu7_halfB.log

Integrity metadata

metadata/file_inventory.csv.gz records every payload file's repository path, byte size, modification time, and original remote path. After upload, the migration program compares the complete remote file set and byte size against this inventory before deleting any source file.

This is an archival reproduction package rather than a row-oriented dataset. Original dataset licenses and participant-data terms continue to apply.
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