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.
afdb — AlphaFold 3 predicted structures for the GO + ASR sequence catalog
Predicted monomer structures for 292,804 unique protein sequences: 38,934 from a Gene Ontology molecular-function coupling set and 254,182 audited ancestral sequence reconstructions (312 sequences occur in both). The predictions serve as teacher labels for 1,421,494 training pairs; one structure is reused by every pair referencing that exact sequence.
Sequence IDs are seq_<sha256(sequence)[:20]>, so a prediction can always be
matched back to its exact sequence.
Protocol
Stock open-source AlphaFold 3 with default settings — no protocol deviations:
| Setting | Value |
|---|---|
| Code | google-deepmind/alphafold3 v3.0.4 (c0f97ed) |
| Genetic search | full standard pipeline: UniRef90, MGnify, small BFD, UniProt |
| Templates | searched (PDB seqres + mmCIF, max_template_date default 2021-09-30) |
| Diffusion samples | 5 (default) |
| Recycles | 10 (default) |
| Model seed | 20260916 |
| Databases | AlphaFold 3 paper versions |
Both MSAs AlphaFold 3 builds are retained: the unpaired MSA and the paired
(UniProt) MSA. The paired MSA is kept even though every input is a single chain,
because AlphaFold 3 featurises it as msa_all_seq regardless of chain count and
its presence also changes the unpaired crop size — omitting it would not be the
standard protocol.
Layout
Per shard (590 shards, ≤500 sequences each, grouped by sequence length):
predictions/<band>/<part>.tar predicted structures, confidences, *_data.json
msa/<band>/<part>.tar unpaired and paired A3M files
Files are bundled per shard rather than stored loose: 292,804 predictions would otherwise be well over a million objects.
Terms of use
These structures are AlphaFold 3 Output and are provided under, and subject to,
the AlphaFold 3 Output Terms of Use. See
LEGALLY_BINDING_TERMS_OF_USE.txt. Each
per-shard archive also carries AlphaFold 3's own TERMS_OF_USE.md.
Released openly for non-commercial research.
Citation
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). https://doi.org/10.1038/s41586-024-07487-w
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