The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Dataset 'norm_fields_sca_max' has length 2 but expected 1
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/hdf5/hdf5.py", line 76, in _generate_tables
num_rows = _check_dataset_lengths(h5, self.info.features)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 353, in _check_dataset_lengths
raise ValueError(f"Dataset '{path}' has length {dset.shape[0]} but expected {num_rows}")
ValueError: Dataset 'norm_fields_sca_max' has length 2 but expected 1Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
PDE surrogate: the benchmark split
Companion data for the pde-surrogate task in
T0-RSI/ai4sci-tasks. It carries only the
files this benchmark's split creates, not a mirror of the upstream datasets.
| subtree | what |
|---|---|
train/ |
the nine corpus files that carry training and held-out trajectories, truncated at the end of the validation range, with norm_* recomputed over the kept trajectories |
eval/ |
the held-out tail of each of those files, under its original trajectory numbering |
Every member keeps the sims group attributes (PDE, Fields, Fields Scheme, Dt, ...) and
was opened with the task's own reader (environment/evaluation/pde_io.py) when it was built.
Release pde-surrogate-split-v2 replaces pde-surrogate-split-v1 (revision 5bcba793), whose
members were written without those attributes and which carried upstream's hyp.hdf5, a content
copy of diff.hdf5; the task's split no longer uses that file.
Everything else the task uses is byte-identical to a pinned, public upstream file and is
fetched from there: thuerey-group/pde-transformer-ape2d-full (MIT),
polymathic-ai/turbulent_radiative_layer_2D and polymathic-ai/active_matter (CC-BY-4.0),
and pdearena/NavierStokes-2D (MIT). Their licences and attribution apply unchanged; no
relicensing is claimed here, and this repository does not duplicate their bytes.
Use
python3 environment/data/materialize.py DEST --from-release --subtree train # agent host
python3 environment/data/materialize.py DEST --from-release # verifier host
release-manifest.json and payload-files.jsonl carry a SHA-256 per member; the task pins
this repository by revision and manifest hash in environment/data/download-source.json.
Evaluation visibility
The task states: "All upstream data are public, so this is a benchmark-visible evaluation,
not a secret test set." train/ and eval/ are separated so that an agent environment
mounts only the former; together they reconstruct the upstream files exactly.
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