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Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
cif.gz unknown | __key__ string | __url__ string |
|---|---|---|
"ZGF0YV9BRi1BMEExSDhYTFI5LUYxCiMKX2VudHJ5LmlkIEFGLUEwQTFIOFhMUjktRjEKIwpsb29wXwpfYXRvbV90eXBlLnN5bWJ(...TRUNCATED) | b56188cf30a9c4ebce24c90021344afffc69e7ea9afe2ea0af29c6621e2455d9 | "hf://datasets/kevinlu4588/SimpleFoldData@aa5855d4a7997ab6b836f23d1de5cf0dc98ae0ca/release/structure(...TRUNCATED) |
"ZGF0YV9BRi1BMEE3QzVQMFMyLUYxCiMKX2VudHJ5LmlkIEFGLUEwQTdDNVAwUzItRjEKIwpsb29wXwpfYXRvbV90eXBlLnN5bWJ(...TRUNCATED) | 95028cbe760cc0121c40e65211b96800356a23acebecc1a04738eea8a61ca610 | "hf://datasets/kevinlu4588/SimpleFoldData@aa5855d4a7997ab6b836f23d1de5cf0dc98ae0ca/release/structure(...TRUNCATED) |
"ZGF0YV9BRi1BMEExVjlFVVk1LUYxCiMKX2VudHJ5LmlkIEFGLUEwQTFWOUVVWTUtRjEKIwpsb29wXwpfYXRvbV90eXBlLnN5bWJ(...TRUNCATED) | abca8219e4f3ad6420f362fd155e926d03f8fbf682ba6656908203fd47da0162 | "hf://datasets/kevinlu4588/SimpleFoldData@aa5855d4a7997ab6b836f23d1de5cf0dc98ae0ca/release/structure(...TRUNCATED) |
"ZGF0YV9BRi1BMEE3VjdTV1U3LUYxCiMKX2VudHJ5LmlkIEFGLUEwQTdWN1NXVTctRjEKIwpsb29wXwpfYXRvbV90eXBlLnN5bWJ(...TRUNCATED) | 47dabecfa2c26976a38950fe297957717999222bf114fcf9a9b4782da852c0dc | "hf://datasets/kevinlu4588/SimpleFoldData@aa5855d4a7997ab6b836f23d1de5cf0dc98ae0ca/release/structure(...TRUNCATED) |
"ZGF0YV9BRi1BMEE4MjBGMDgzLUYxCiMKX2VudHJ5LmlkIEFGLUEwQTgyMEYwODMtRjEKIwpsb29wXwpfYXRvbV90eXBlLnN5bWJ(...TRUNCATED) | 62ab8e1025a01ffc82a18c3f07fcf60c5c85909d428d5a5d1b07f80eae98ff7d | "hf://datasets/kevinlu4588/SimpleFoldData@aa5855d4a7997ab6b836f23d1de5cf0dc98ae0ca/release/structure(...TRUNCATED) |
"ZGF0YV9BRi1BMEE2QjFLNVcwLUYxCiMKX2VudHJ5LmlkIEFGLUEwQTZCMUs1VzAtRjEKIwpsb29wXwpfYXRvbV90eXBlLnN5bWJ(...TRUNCATED) | a8deb5a9ab44df1bf0f6bea5b4bceeb8df807164b3033995ce0d8f8520eda136 | "hf://datasets/kevinlu4588/SimpleFoldData@aa5855d4a7997ab6b836f23d1de5cf0dc98ae0ca/release/structure(...TRUNCATED) |
"ZGF0YV9BRi1BMEE2STlJU1czLUYxCiMKX2VudHJ5LmlkIEFGLUEwQTZJOUlTVzMtRjEKIwpsb29wXwpfYXRvbV90eXBlLnN5bWJ(...TRUNCATED) | 390450727ff0eb162bff3cd263f23c489e5aeb36de61d6d4f6fb43ab98720c78 | "hf://datasets/kevinlu4588/SimpleFoldData@aa5855d4a7997ab6b836f23d1de5cf0dc98ae0ca/release/structure(...TRUNCATED) |
"ZGF0YV9BRi1BMEEzOTdNQzk2LUYxCiMKX2VudHJ5LmlkIEFGLUEwQTM5N01DOTYtRjEKIwpsb29wXwpfYXRvbV90eXBlLnN5bWJ(...TRUNCATED) | f29f5c343e394f480854d5fc924d385a4e8d893d3113e7fcaf09683adee8a3cb | "hf://datasets/kevinlu4588/SimpleFoldData@aa5855d4a7997ab6b836f23d1de5cf0dc98ae0ca/release/structure(...TRUNCATED) |
"ZGF0YV9BRi1BMEE4MzRFV1Q4LUYxCiMKX2VudHJ5LmlkIEFGLUEwQTgzNEVXVDgtRjEKIwpsb29wXwpfYXRvbV90eXBlLnN5bWJ(...TRUNCATED) | f37d3689f57cced7b9ee39c39496c36d4b627053e0d4912eff19bf674b8e7f10 | "hf://datasets/kevinlu4588/SimpleFoldData@aa5855d4a7997ab6b836f23d1de5cf0dc98ae0ca/release/structure(...TRUNCATED) |
"ZGF0YV9BRi1BMEE1RDROSDAzLUYxCiMKX2VudHJ5LmlkIEFGLUEwQTVENE5IMDMtRjEKIwpsb29wXwpfYXRvbV90eXBlLnN5bWJ(...TRUNCATED) | 1e744aa424f55aeb1f86c6f708b1d6795b0414e3f9334d259b8537596a1904b4 | "hf://datasets/kevinlu4588/SimpleFoldData@aa5855d4a7997ab6b836f23d1de5cf0dc98ae0ca/release/structure(...TRUNCATED) |
SimpleFoldData
An independently curated protein-structure dataset. The primary pool now combines AFDB-1.6M with experimental PDB chains initially released before 2020-05-01. The target is 1,000,000 distinct sequences with verified coordinates, preferring PDB for exact duplicates.
Status: build in progress. AFDB bulk download and validation are running. Final selection, coordinate packing, and public upload are queued after both source collection jobs succeed. ESM-C 6B production embeddings are not yet queued.
Selection and verification
AFDB source revision: a7ededeb7caeaef3892f40f2e4df3bb9236b02f8.
The source selects one representative per AFDB v4 structural cluster, with an
upstream sequence-length limit of 2,048 residues. It is not Apple's exact AFESM
selection. Original source cluster and sequence-cluster labels are retained;
no joint structural reclustering of PDB and AFDB is claimed.
Every downloaded Parquet file is checked against its source SHA-256. Prediction records must have canonical sequences, complete N/CA/C backbones, finite atom coordinates, sequence/coordinate identity, and recomputed mean pLDDT >80. Experimental PDB chains retain full entity sequences and missing-residue indices; at least 80% of residues must have observed N/CA/C backbone atoms.
The final pool includes eligible unique PDB sequences first, then fills to the target with AFDB records in deterministic seed-17 sequence-hash order. It is sorted by sequence length and hash. Aliases are retained separately. Final selected coordinate bytes are rechecked against their recorded SHA-256 before packing.
Earlier Apple source catalogs, SwissProt candidates and AFESM work are preserved
as supplementary sources, outside this primary AFDB/PDB selection. Existing files
under swissprot/ are not the final selected release.
The final source-pool selection must pass sequence/coordinate identity checks, exact deduplication, and count reconciliation. This is a general-purpose data source; no benchmark-specific contamination exclusions are claimed. Apply exclusions for your chosen evaluation set before training for that benchmark.
This repository is not affiliated with or endorsed by Apple. See ATTRIBUTION.md for sources and source-specific licenses.
Reusable sequence embeddings
ESM-C 6B embeddings are being added as a separate, sequence-hash-addressed cache. The planned representation is the final post-layer-normalization hidden state, one 2,560-dimensional BF16 vector per residue, with special tokens removed. Model revision, tensor shape, full input sequence identity, and computation provenance accompany the cache. Sequences are embedded once after exact deduplication. Long sequences are retained in the structure collection and receive an explicit embedding status; they are never silently cropped.
Live progress
Updated 2026-10-14T13:03:54+00:00. Coordinate-qualified candidates before deduplication: 1,671,219. Final selected unique sequences: 1,000,000.
Detailed progress and job status · Machine-readable status · HTML dashboard
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