Dataset Viewer
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
schema: string
id: string
contract: struct<geometry: struct<files: list<item: string>, sha256: struct<single-bundle-g070-icvf061__inner. (... 772 chars omitted)
child 0, geometry: struct<files: list<item: string>, sha256: struct<single-bundle-g070-icvf061__inner.ply.xz: string, s (... 226 chars omitted)
child 0, files: list<item: string>
child 0, item: string
child 1, sha256: struct<single-bundle-g070-icvf061__inner.ply.xz: string, single-bundle-g070-icvf061__outer.ply.xz: s (... 6 chars omitted)
child 0, single-bundle-g070-icvf061__inner.ply.xz: string
child 1, single-bundle-g070-icvf061__outer.ply.xz: string
child 2, meta: struct<g_ratio: double, box_min: list<item: double>, box_max: list<item: double>, f_intra: double, f (... 69 chars omitted)
child 0, g_ratio: double
child 1, box_min: list<item: double>
child 0, item: double
child 2, box_max: list<item: double>
child 0, item: double
child 3, f_intra: double
child 4, f_myelin: double
child 5, f_extra: double
child 6, n_fibres: int64
child 7, fibre_axis: int64
child 1, substrate_type: string
child 2, walk: struct<sim: string, D_intra: double, D_extra: double, dt_save: double, n_t: int64, T_max: double, fe (... 210 chars omitted)
child 0, sim: string
child 1, D_intra: double
child 2, D_extra: double
child 3, dt_save: double
child 4, n_t
...
target: double
provenance: struct<license: string, citation: string, note: string>
child 0, license: string
child 1, citation: string
child 2, note: string
shards: list<item: struct<file: string, sha256: string, n_walkers: int64, n_t: int64, T_max: double, seed_ba (... 88 chars omitted)
child 0, item: struct<file: string, sha256: string, n_walkers: int64, n_t: int64, T_max: double, seed_base: int64, (... 76 chars omitted)
child 0, file: string
child 1, sha256: string
child 2, n_walkers: int64
child 3, n_t: int64
child 4, T_max: double
child 5, seed_base: int64
child 6, contributor: struct<user: string, host: string, sim: string>
child 0, user: string
child 1, host: string
child 2, sim: string
child 7, floor: double
status: string
pooled: struct<n_shards: int64, n_walkers: int64, floor_estimate: double, floor_measured: double, coverage_N (... 38 chars omitted)
child 0, n_shards: int64
child 1, n_walkers: int64
child 2, floor_estimate: double
child 3, floor_measured: double
child 4, coverage_Nw: struct<40ms: int64>
child 0, 40ms: int64
child 5, T_max: double
target: string
report: list<item: struct<shard: string, decision: string, seed_base: int64>>
child 0, item: struct<shard: string, decision: string, seed_base: int64>
child 0, shard: string
child 1, decision: string
child 2, seed_base: int64
n_accepted: int64
measured_floor: double
n_quarantined: int64
to
{'target': Value('string'), 'n_accepted': Value('int64'), 'n_quarantined': Value('int64'), 'measured_floor': Value('float64'), 'status': Value('string'), 'report': List({'shard': Value('string'), 'decision': Value('string'), 'seed_base': Value('int64')})}
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
schema: string
id: string
contract: struct<geometry: struct<files: list<item: string>, sha256: struct<single-bundle-g070-icvf061__inner. (... 772 chars omitted)
child 0, geometry: struct<files: list<item: string>, sha256: struct<single-bundle-g070-icvf061__inner.ply.xz: string, s (... 226 chars omitted)
child 0, files: list<item: string>
child 0, item: string
child 1, sha256: struct<single-bundle-g070-icvf061__inner.ply.xz: string, single-bundle-g070-icvf061__outer.ply.xz: s (... 6 chars omitted)
child 0, single-bundle-g070-icvf061__inner.ply.xz: string
child 1, single-bundle-g070-icvf061__outer.ply.xz: string
child 2, meta: struct<g_ratio: double, box_min: list<item: double>, box_max: list<item: double>, f_intra: double, f (... 69 chars omitted)
child 0, g_ratio: double
child 1, box_min: list<item: double>
child 0, item: double
child 2, box_max: list<item: double>
child 0, item: double
child 3, f_intra: double
child 4, f_myelin: double
child 5, f_extra: double
child 6, n_fibres: int64
child 7, fibre_axis: int64
child 1, substrate_type: string
child 2, walk: struct<sim: string, D_intra: double, D_extra: double, dt_save: double, n_t: int64, T_max: double, fe (... 210 chars omitted)
child 0, sim: string
child 1, D_intra: double
child 2, D_extra: double
child 3, dt_save: double
child 4, n_t
...
target: double
provenance: struct<license: string, citation: string, note: string>
child 0, license: string
child 1, citation: string
child 2, note: string
shards: list<item: struct<file: string, sha256: string, n_walkers: int64, n_t: int64, T_max: double, seed_ba (... 88 chars omitted)
child 0, item: struct<file: string, sha256: string, n_walkers: int64, n_t: int64, T_max: double, seed_base: int64, (... 76 chars omitted)
child 0, file: string
child 1, sha256: string
child 2, n_walkers: int64
child 3, n_t: int64
child 4, T_max: double
child 5, seed_base: int64
child 6, contributor: struct<user: string, host: string, sim: string>
child 0, user: string
child 1, host: string
child 2, sim: string
child 7, floor: double
status: string
pooled: struct<n_shards: int64, n_walkers: int64, floor_estimate: double, floor_measured: double, coverage_N (... 38 chars omitted)
child 0, n_shards: int64
child 1, n_walkers: int64
child 2, floor_estimate: double
child 3, floor_measured: double
child 4, coverage_Nw: struct<40ms: int64>
child 0, 40ms: int64
child 5, T_max: double
target: string
report: list<item: struct<shard: string, decision: string, seed_base: int64>>
child 0, item: struct<shard: string, decision: string, seed_base: int64>
child 0, shard: string
child 1, decision: string
child 2, seed_base: int64
n_accepted: int64
measured_floor: double
n_quarantined: int64
to
{'target': Value('string'), 'n_accepted': Value('int64'), 'n_quarantined': Value('int64'), 'measured_floor': Value('float64'), 'status': Value('string'), 'report': List({'shard': Value('string'), 'decision': Value('string'), 'seed_base': Value('int64')})}
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.
dmrai-lab substrate bank
Compressed Monte-Carlo replay packs (.rpk) for diffusion-MRI microstructure. Each pack is one master walk on a substrate plus the physics channels needed to replay any acquisition inside its certified envelope — one walk, every acquisition — in the open Replay Pack Specification format.
from dmipy_sim import bank
pack = bank.pull("<id>", repo_id="dmrai-lab/substrate-bank")
S = pack.replay(waveform, relaxation=True)
Substrates
Field σ = off-resonance field inhomogeneity (Hz @3 T, B0 ⊥ fibre); Fibre axis = the substrate's intrinsic orientation in stored coordinates (B0/gradient directions are defined relative to it — see each card). Both are intrinsic, so you can pick a substrate without downloading it.
| Substrate | Replay tiers | Field σ (Hz@3T) | ICVF | Fibre axis | Size | License |
|---|---|---|---|---|---|---|
cactus-axons/single-bundle-g070-icvf061 |
C0 C1 C2 C3 C4 | 0.97 | 0.61 | [+1.00, +0.01, -0.00] | 46.65 MB | CC-BY-4.0 |
canonical-wm/g070-f055-3T |
C0 | — | — | — | 18.23 MB | CC-BY-4.0 |
Each substrate links to its own substrate card with geometry, provenance, fidelity and load/replay instructions. Tier legend: C0 gradient · C1 bulk relaxation · C2 surface relaxivity · C3 field · C4 magnetization transfer.
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