dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra
Paper • 2610.06282 • Published
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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 "/src/libs/libcommon/src/libcommon/packaged_modules.py", line 18, in _refuse_lance
raise NotImplementedError(LANCE_DISABLED_MESSAGE)
NotImplementedError: The Lance format is not supported.
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.
dIon paper datasets
Datasets used in dIon. See the paper for original source accessions, citations, and experiment definitions.
Dataset Cards
- pretraining/bacterial_ssl
- pretraining/metric_label_budgets
- probes/end_aa
- representation_benchmarks/bacterial
- representation_benchmarks/ninespecies
- representation_benchmarks/kingdoms
- representation_benchmarks/gleams_selection_metadata
- de_novo/corpora/MSKB-final
- de_novo/corpora/DNL-v1
- de_novo/kingdoms
- de_novo/yeast_label_free
- de_novo/online_mini_denovo_probe
- de_novo/dia_oracle_precursor_pilot
- auxiliary_spectrum_tasks/spectrum_quality
- auxiliary_spectrum_tasks/chimericity_hye
- auxiliary_spectrum_tasks/oxidized_methionine
Contents
pretraining/: bacterial SSL corpus and used 1%/10% metric-learning subsets.probes/end_aa/: shared online end-AA monitor.representation_benchmarks/: full-charge and separately constructed charge-2-4 retrieval/pair benchmarks.de_novo/: MSKB-final, DNL-v1, capped Kingdoms, label-free yeast, mini-de-novo probe, and DIA pilot.auxiliary_spectrum_tasks/: SQA, HYE chimericity, and oxidized-methionine tasks.
dataset_inventory.json lists the files included in this release.
- Downloads last month
- 220