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 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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 68, 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.
MLS-Bench dependency archives
This repository contains dependency data prepared for MLS-Bench. Archives are
under mle_coding/mlsbench/data/, with a sibling .mlsb_complete marker for
each dependency. SHA256SUMS records the checksum of each complete archive.
Neural-Solver-Library
Hugging Face has a 50 GB per-file limit, so
neural-solver-library.tar.gz is stored as three parts. Reassemble it with:
cat mle_coding/mlsbench/data/Neural-Solver-Library/neural-solver-library.tar.gz.part-* \
> mle_coding/mlsbench/data/Neural-Solver-Library/neural-solver-library.tar.gz
sha256sum -c SHA256SUMS
Checksums for the individual uploaded parts are stored beside them in
neural-solver-library.tar.gz.parts.sha256.
DBIM supplemental archive
dbim-codebase/dbim_data.tar.gz intentionally contains only the nine files
requested for the DBIM package: edges2handbags, DIODE's data_list.zip, the
ImageNet inpainting checkpoint and validation-prep files, both Inception
weights, and the optional LPIPS weights. It does not contain the large DIODE
image/normal archives or ImageNet itself.
The canonical Berkeley edges2handbags host was unreachable from AWS. The
archive was therefore reconstructed from the public
luethan2025/edges2handbags Hugging Face mirror, preserving the standard
edges2handbags/{train,val}/ layout, original image names, and split counts
(138,567 train and 200 val pairs).
Known data note
HypSeek's DUD-E files are present, but the upstream preparation script could not resolve protein metadata for its 102 targets. DEKOIS and PCBA validation succeeded.
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