The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SciAccelBench sa-0001 — PLUTO 4.4-patch4 source mirror
A byte-for-byte mirror of pluto-4.4-patch4.tar.gz as distributed by the
PLUTO team at https://plutocode.ph.unito.it/Downloads/pluto-4.4-patch4.tar.gz,
for sa-0001
in the SciAccelBench
registry.
Why a mirror exists at all
PLUTO is distributed as a versioned tarball from the project's own site, not from a public git repository. The registry normally pins a code by a 40-hex commit; there is no commit to pin here, so the pin is this file's SHA-256:
1ba5527b76d49fdd78ae24dbfbdad085ec83393748f1e618516a9d63bd945787
which the task's Dockerfile verifies with sha256sum -c in the same RUN
that downloads it. repo_url in the manifest still points at the PLUTO
project's own site — that is the origin, and this mirror does not replace it.
The mirror exists so the task image builds reproducibly if the upstream URL
moves, and so the byte content the benchmark was measured against is fixed
even if the project re-cuts a patch release under the same filename.
Licence
PLUTO 4.4-patch4 is distributed under the GNU General Public License,
version 2 (see COPYING inside the tarball). Redistribution of the
unmodified source is exactly what the GPL permits and requires the same terms
to travel with it, which they do — this archive is unmodified.
Not the GPU version
PLUTO's successor gPLUTO — a full C++/OpenACC rewrite with GPU support — lives at https://gitlab.com/PLUTO-code/gPLUTO and is a separate, public git repository. It is not mirrored here. In sa-0001 it is the record to beat, not the incumbent; the incumbent is this CPU code.
Citation
- A. Mignone et al., "PLUTO: A Numerical Code for Computational Astrophysics", ApJS 170:228–242 (2007), DOI 10.1086/513316.
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