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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                  ~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
                  yield from 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 327, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

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EXEPERT Open Brain Atlas and Simulation Kit

Version 0.1.2. A reproducible educational kit for exploring anatomy, comparing representations and testing an explicitly authored regional propagation rule.

This release contains illustrative simulation parameters, not trained checkpoints or biological human-brain weights. It has no training dataset, loss function, fitted model, diagnostic validation or claim to emulate a person.

Contents

  • geometry/: pinned Yale atlas and labels; 28 BodyParts3D internal structures; source-specific notices and an integrity manifest.
  • medical-examples/: two small, foreground-masked MRI teaching volumes with exact provenance, affines and transformation metadata. Raw clinical archives are excluded. These examples are independent cases and use different contrasts.
  • simulator/: deterministic TypeScript source and versioned interfaces.
  • simulation-parameters/ and simulation-outputs/: authored settings and a reference output. These are separate from medical examples.
  • lessons/: six chapters at beginner, neuroscience and AI/ML depth.
  • checksums.json: SHA-256 and byte size for every content file (excluding the checksum file itself). Check hashes before loading.

Load and reproduce

With Bun or a TypeScript-capable runtime, import simulate from ./simulator/simulation.ts and load simulation-parameters/baseline.json. Calling simulate(config) produces the reference rows in simulation-outputs/baseline.json. The seed, graph, model version, fixed dt=0.05, 200 steps, coupling, damping and stimulus are all explicit. Time and activation are dimensionless. The graph is authored, not measured.

Load geometry/yale.glb with a glTF 2 loader. Material names preserve the Yale parcel IDs; _color is a material suffix, not part of the identifier. Consult yale-labels.json and retain IDs alongside display labels.

For BodyParts3D, use bodyparts3d.json: offsets are bytes into bodyparts3d.bin; positions are float32 triples, normals normalized int16 triples, indices uint32. Original structure IDs are retained. Cavity grouping corrects inherited cardiac categorization of brain ventricles. Geometry is already in metres and Y-up display coordinates.

MRI .bin files are unsigned uint8 samples in C order: offset (x*Y+y)*Z+z. The JSON shape, spacingMm and affine are authoritative. Native axes are reordered to RAS, masked, cropped and sampled at a recorded stride. Intensity is clipped to recorded percentiles. Do not infer quantitative tissue values from the display intensities, or assume registration between datasets.

Licenses

  • Yale: MIT, copyright Evan Collins, 2021. Full notice in geometry/YALE-LICENSE.md; pinned revision in the manifest.
  • BodyParts3D: CC BY 4.0, Database Center for Life Science. License update and modification details in geometry/BODYPARTS3D-LICENSE.md.
  • OpenMind example: original OpenNeuro ds000001 CC0; OpenMind adaptations CC BY 4.0. Attribution: Schonberg, Trepel, Fox, Poldrack and MIC-DKFZ OpenMind. Original dataset DOI: 10.18112/openneuro.ds000001.v1.0.0. Source participant adulthood was checked; no disease-free status is claimed.
  • UCSF-PDGM example: CC BY 4.0, UCSF-PDGM investigators and The Cancer Imaging Archive, distributed through Determined AI. See its JSON for selected case, archive revision and input hashes, and the original collection for citations: https://www.cancerimagingarchive.net/collection/ucsf-pdgm/
  • EXEPERT-authored simulator and lessons: LICENSE-SIMULATOR.md (MIT).

CC BY 4.0 terms: https://creativecommons.org/licenses/by/4.0/

BraTS-GLI-Anatomy-Lesion, HCP participant files, TRELLIS and Hunyuan checkpoints are not redistributed. Their references explain related representations and methods. Generated geometry is not required or presented as validated anatomy.

Limitations and intended use

Educational exploration only. Simplified reference anatomy is not an individual clinical assessment. Mesh explosion is a display operation; its gaps are artificial. MRI masks and downsampling introduce information loss. The four-region simulator omits cellular physiology and is not fitted to data. No private EXEPERT repository files, identity-service code or credentials are included. Report problems through the dataset discussion with the release version and source identifier, without sharing personal medical information.

Simulation version compatibility

Version 0.1.2 uses illustrative-regional-v2: integer state and parameters at 1e-6 precision, a fixed 1/20 timestep, and authored positive softsign saturation x/(1+x). Integer intermediates remain within JavaScript's exact range. Parameters are rounded to six decimal places before simulation.

The immutable 0.1.0 kit retains the older v1 simulator and its example output. Its use of platform-dependent Math.tanh can cause tiny numeric differences between operating systems. Existing v1 exports require that archived simulator; the current viewer rejects them explicitly instead of silently changing models.

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