The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
shape: list<item: int64>
child 0, item: int64
data_type: string
chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
child 0, name: string
child 1, configuration: struct<chunk_shape: list<item: int64>>
child 0, chunk_shape: list<item: int64>
child 0, item: int64
chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
child 0, name: string
child 1, configuration: struct<separator: string>
child 0, separator: string
fill_value: double
codecs: list<item: struct<name: string, configuration: struct<chunk_shape: list<item: int64>, codecs: list<i (... 261 chars omitted)
child 0, item: struct<name: string, configuration: struct<chunk_shape: list<item: int64>, codecs: list<item: struct (... 249 chars omitted)
child 0, name: string
child 1, configuration: struct<chunk_shape: list<item: int64>, codecs: list<item: struct<name: string, configuration: struct (... 212 chars omitted)
child 0, chunk_shape: list<item: int64>
child 0, item: int64
child 1, codecs: list<item: struct<name: string, configuration: struct<endian: string, typesize: int64, cname: string (... 53 chars omitted)
child 0, item: struct<name: string, configuration: struct<endian: string, typesize: int64, cname: string, clevel: i (... 41 chars omitted)
child 0, name: string
child 1, configuration: struct<endian: string, typesize: int64, cname: string, clevel: int64, shuffle: string, blocksize: in (... 4 chars omitted)
child 0, endian: string
child 1, typesize: int64
child 2, cname: string
child 3, clevel: int64
child 4, shuffle: string
child 5, blocksize: int64
child 2, index_codecs: list<item: struct<name: string, configuration: struct<endian: string>>>
child 0, item: struct<name: string, configuration: struct<endian: string>>
child 0, name: string
child 1, configuration: struct<endian: string>
child 0, endian: string
child 3, index_location: string
attributes: struct<>
dimension_names: list<item: string>
child 0, item: string
zarr_format: int64
node_type: string
storage_transformers: list<item: null>
child 0, item: null
prefix: string
repo_id: string
revision: string
to
{'repo_id': Value('string'), 'revision': Value('string'), 'prefix': 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
shape: list<item: int64>
child 0, item: int64
data_type: string
chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
child 0, name: string
child 1, configuration: struct<chunk_shape: list<item: int64>>
child 0, chunk_shape: list<item: int64>
child 0, item: int64
chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
child 0, name: string
child 1, configuration: struct<separator: string>
child 0, separator: string
fill_value: double
codecs: list<item: struct<name: string, configuration: struct<chunk_shape: list<item: int64>, codecs: list<i (... 261 chars omitted)
child 0, item: struct<name: string, configuration: struct<chunk_shape: list<item: int64>, codecs: list<item: struct (... 249 chars omitted)
child 0, name: string
child 1, configuration: struct<chunk_shape: list<item: int64>, codecs: list<item: struct<name: string, configuration: struct (... 212 chars omitted)
child 0, chunk_shape: list<item: int64>
child 0, item: int64
child 1, codecs: list<item: struct<name: string, configuration: struct<endian: string, typesize: int64, cname: string (... 53 chars omitted)
child 0, item: struct<name: string, configuration: struct<endian: string, typesize: int64, cname: string, clevel: i (... 41 chars omitted)
child 0, name: string
child 1, configuration: struct<endian: string, typesize: int64, cname: string, clevel: int64, shuffle: string, blocksize: in (... 4 chars omitted)
child 0, endian: string
child 1, typesize: int64
child 2, cname: string
child 3, clevel: int64
child 4, shuffle: string
child 5, blocksize: int64
child 2, index_codecs: list<item: struct<name: string, configuration: struct<endian: string>>>
child 0, item: struct<name: string, configuration: struct<endian: string>>
child 0, name: string
child 1, configuration: struct<endian: string>
child 0, endian: string
child 3, index_location: string
attributes: struct<>
dimension_names: list<item: string>
child 0, item: string
zarr_format: int64
node_type: string
storage_transformers: list<item: null>
child 0, item: null
prefix: string
repo_id: string
revision: string
to
{'repo_id': Value('string'), 'revision': Value('string'), 'prefix': 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.
Native Navier–Stokes simulation voxels
Lossless exports of velocity and manufactured forcing from Oliver's completed
AMReX / incflo experiment. The source has 280 saved states from exact rest
through t = 0.995, including an exactly quiescent interval through t = 0.55.
An explicitly labeled prototype may contain fewer states; each release's
manifest.json is authoritative about its coverage.
Layout and access
Each content-addressed releases/<manifest-hash-prefix>/ directory contains
manifest.json, source-best.json, and fields.zarr. The manifest lists actual
times, source plotfile names, component order, level geometry, and per-frame,
per-level SHA-256 hashes of uncompressed values. Publication never overwrites
another release. Pin both the dataset commit and release prefix when citing,
downloading, or analyzing the fields.
fields.zarr/level_0 through level_4 have axes (t, x, y, z, component).
Every level occupies a 64 × 64 × 64 rectangular native patch. Components are
u_x, u_y, u_z, f_x, f_y, f_z, stored as little-endian float64 in nondimensional
model units. Origins are cell-boundary coordinates; cell centers are
origin + (index + 0.5) * spacing.
The full periodic domain is [−1,1]³. The base spacing is 2/64; four fixed inner cubes have half-widths 0.5, 0.25, 0.125, and 0.0625, with spacing halved at each level. Thus 1024³-equivalent spacing applies only to the innermost core. There are 1,310,720 stored cells and 1,179,648 active composite cells per state. Covered coarse cells are retained for fidelity to the native files. Exclude them from composite integrals and select the finest containing cell for slices.
Zarr v3 uses lossless Blosc Zstd/bitshuffle compression, 8³-cell chunks split into velocity and force triplets, and one shard per level per saved state. The entire uncompressed field payload is 16.40625 GiB. No dense 1024³ regridding, float32 conversion, spatial smoothing, or temporal interpolation is performed. Pressure, ghost cells, and solver checkpoints are not included.
Use Zarr 3.3 and huggingface_hub / fsspec to open
hf://datasets/ccm/navier-stokes-singularity-simulation@<commit>/releases/<hash>/fields.zarr.
The interactive Space
provides a three-plane viewer without requiring a whole-history download.
Validation and limitations
Each exported level is read back and compared exactly with its native float64 values. Checks also require finite fields, exact rest, source timestamps, active-grid peak speed, full-domain volume, and endpoint kinetic energy. Independent C++ slice comparisons test all three axes, and synthetic nested-grid tests check axis order, boundary selection, and refinement precedence.
These are archive and visualization integrity checks, not accuracy bounds. The experiment uses a finite, localized, three-pulse manufactured-force surrogate inspired by the analytical construction. It does not implement that construction's exact infinite hierarchy or certify a Navier–Stokes singularity. The coarser outer grid can remain under-resolved; resampling cannot repair it.
Provenance and reuse
Created by Chris McComb's independent numerical project, not affiliated with
OpenAI. Run settings, upstream solver revisions, archive hashes, and diagnostics
are retained in each release's source-best.json.
Released under the project's MIT license. Cite this dataset's repository, immutable commit, release prefix, and source run ID so the exact fields remain identifiable.
Current verified release
280 states, complete history; t = 0.0 to 0.995.
- Dataset commit:
25266bfc068a729fb169833521eeddfde9c943e9 - Release:
releases/9be10c40938a9d02
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