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.
isalgo/tcren_structures
TCR:peptide:MHC structure sets and benchmarks for TCRen2 (structure-based prediction of TCR
recognition). Fetch with tcren / the manuscript scripts/bootstrap_data.py.
Contents rule: structures as .gz/.tar.gz (LFS) and .txt/.md descriptions only —
no notebooks, figures, or analysis tables.
Layout
| folder | task | contents |
|---|---|---|
Native2026/, Canonical2026/ |
derivation / ergodicity | non-redundant TCR:pMHC structures (.gz) |
Native2022/, PolyV2022/ |
2022-paper reproduction | structure sets (.gz) |
tcrvdb/ |
TCR-ranking (specificity) | 618 TCRmodel2 models (<hash>.pdb) |
vdjdb_binder_benchmark/ |
TCR-ranking (real binders vs mock) | 1,089 PDBs (.tar.gz) + metadata.tsv (labels, ipTM, tcren scores, covered/uncovered flag); see its README.md |
vdjdb_mut2023_benchmark/ |
TCR-recognition control, one epitope | 81 PDBs (.tar.gz) + metadata.tsv: HPVGEADYFEY crystals, their Rosetta mutants and TCRmodel2 mock decoys; see its README.md |
immrep23_negatives/ |
TCR-ranking, extra decoys | 832 of 2,985 modelled IMMREP mismatched pairings (run in progress); lifts the per-epitope decoy ceiling |
cpl/pdb_cpl/ |
peptide-ranking (epitope) | peptide-swap best/worst, 5 TCRs |
as_case/ |
MHC-ranking (B*27:05 vs :02) | as_case.tar.gz + content.md |
Bobisse/, Bigot/ |
neoantigen | cohort structures (.gz) |
The three tasks
TCRen2 scores one interface-decomposed recognition energy Φ (TCRen for TCR:peptide, Miyazawa–Jernigan for the presentation interfaces) and reads it three ways: rank peptides for a TCR:MHC (epitope / neoantigen), rank TCRs for a pMHC (specificity), rank MHC alleles for a TCR:peptide (allele restriction, e.g. ankylosing spondylitis B*27:05 vs :02).
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